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Home > Admission > Ph.D

The Department came into existence in 1984 with an M.Tech. Programme in Computer and Information Science. In addition to this it has an M.Tech. programme in Software Engineering. The Department also conducts research leading to Ph.D. in several areas of computer science including Artificial Intelligence, human computer interaction, Intelligent architectures and Software Engineering.

Core Areas of Research

Natural Language Processing, Theoretical Computer Science, Distributed Computing, Information Systems Engineering, Computer Networks, Mobile Computing

Ph.D's Produced (Past 10 Years)

CUSAT Campus, Kalamassery, Cochin.

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Best Ph.D Computer Science Engineering Colleges in Kerala

Top institutions, gender diversity, popular private engineering colleges.

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Highest CTC 44.14 LPA | UGC Approved | 1600+ Recruiters | 100% Placement

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  • Computer Science Engineering

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Filter by City

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IIT Palakkad - Indian Institute of Technology Palakkad

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JEC Thrissur - Jyothi Engineering College, Thrissur

Lbs institute of technology for women, thiruvananthapuram, lourdes matha college of science and technology, thiruvananthapuram, mace kothamangalam - mar athanasius college of engineering, kothamangalam, mbcet - mar baselios college of engineering and technology, thiruvananthapuram, mar baselios institute of technology and science, ernakulam, mesce kuttippuram - mes college of engineering, malappuram.

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The Department of Computer Science, University of Kerala, was established in 1985. It offers M.Sc. in Computer Science, M.Tech. in Computer Science (with specialization in Digital Image Computing), M.Phil. and Ph.D. in Computer Science. The Department gives at most importance on Research and Development besides regular teaching. Over the past few years the department has acquired national and international importance. The department has a track record of producing highly skilled professionals in the field of Computer Science. Many of the alumni are well placed in Institutes of National Importance, Central/State universities, R&D organisations like ISRO, CDAC, Educational Institutions and different MNCs. The department has produced more than 30 Ph.D.s so far. The students and faculty members have published a good number of research papers in reputed International Journals/Conference Proceedings published by IEEE, Springer, Elsevier, Wiley etc. Many of our students and faculty members have received national and international recognitions. Department of Computer Science is the only department in Kerala to bag the National Award for Best M.Tech. Thesis three times from Indian National Academy of Engineering (INAE), New Delhi. The faculty members of the department have received prestigious awards such as AICTE Career Award for Young Teachers, IEI Young Engineer Award, SSI Young System Scientist Award etc. to name a few.

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Centre for Data Science & Information Processing The Centre for Data Science and Information Processing (CDSIP) is an initiative of the University of Kerala for enriching research and development activities in data science and allied domains. The Centre has been equipped with high performance computing facilities for processing huge volume data of any kind and that can be utilized for in-depth research in data analysis and information processing for decision support and social enrichment. The Centre can provide intelligent inputs to the Government bodies and other organizations for better planning and implementation of various Government policies and schemes. With the advancements in machine learning and AI, the Centre can contribute potential research solutions in the future. We are looking ahead to active collaborations with industry, academia, national and international institutes for research and development.

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A CAMPUS WITHOUT PRECEDENT

The Digital University Kerala campus is a place for discovery, alive with debate, both intellectually and physically. Sustainable campus architecture isn’t just a backdrop for what is going on inside the buildings. It is a model for innovation that inspires and keeps the campus’ high aspirations on track.

About Digital University Kerala

Find out what it’s like to study, work, and live on one of the most advanced campuses in the God's own Country.

Innovation thrives on rigorous thinking, creative ideas, a vibrant environment and a bit of the unexpected. The diverse people of Digital University Kerala embody this inspiring and dynamic mix and are driven by the desire to help spark the next great tech revolution.

We at digital university kerala catalyzes technical advances that promote societal welfare and address systematically unfulfilled needs., doctoral programmes, about the programme.

Our doctoral programs offer a wide range of research topics and strive for excellence while creating meaningful changes to the digital society. The programs are tailored taking into account the needs of the industry and aim to address real-world problems of today and the future. If you have a passion and curiosity to unravel the mysteries of the changing digital world, we welcome you to join a doctoral program with us with open minds to become change leaders, innovators, scientists and leading thinkers of tomorrow. We offer both full-time, and flexible modes of study that are designed keeping in mind the developmental needs of both experienced as well as young graduates.

Prospective students satisfying the eligibility criteria are encouraged to acquaint themselves with the research areas of our faculty members for a suitable match of interest. DUK offers Ph.D scholarships and fee waivers for the students selected for the full-time regular Ph.D program. DUK offers an attractive option for professionals with experience to carry out their doctoral studies while working in the industry or an academic institution through the industry regular and the part-time regular Ph.D programs respectively.  

  • Approximate number of vacancies per research area
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  • Scholarship and Fees
  • Total Credits for the PhD program will be 300.
  • All PhD students will have following mandatory PhD level courses to be completed within the first 2 years of their doctoral study: ◦ Research Methods and Ethics 3 credits ◦ Technical Writing 1 credits ◦ Pedagogy Design 2 credits ◦ Design Thinking and Translational Research 2 credits
  • Remaining credit requirements for coursework shall be decided by the student in consultation with the doctoral committee.
  • Part-time PhD students can complete up to 15 credits during their mandatory on-campus visits.

Minimum eligibility requirement

  • For the General category candidates, a 2-year (or more) Master’s degree with 60% marks or an M.Phil degree with 60% coursework marks in a discipline relevant to the school in which the candidate is applying is required.
  • SC/ST/OEC/OBC (non-creamy layer)/Differently-Abled/Economically weaker section candidates have the same criteria as the General category candidates, except that they need to have only 55% marks.
  • The candidates who have appeared for the final examinations are also eligible to apply if their aggregate marks until then are equal to or above the minimum required marks. If admitted to the Ph.D. program, they have to meet the full eligibility criteria within a date specified by the University.
  • Part-time and Industry Regular Ph.D applicants are additionally required to have a full-time job with at least 5 years of relevant full-time work experience, after their Bachelor’s degree. To apply to the Industry Regular Ph.D program, the applicant should be a full time employee of the industry at the time of application.
  • The mentor identified by an Industry Regular Ph.D applicant needs to provide a letter describing how the chosen industry research lab is sufficiently equipped to conduct the required research.

Additional school-wise eligibility requirements

Interested candidates need to apply online through DUK’s Ph.D application portal and upload all the required documents. If a candidate wishes to apply to more than one school or type of Ph.D program, he/she has to register separately and apply separately for each. The fee per application is Rs. 1500/-. There is no application fee for SC/ST and differently-abled candidates.

A candidate needs to be JRF qualified in the relevant discipline or should qualify the Digital University Research Aptitude Test (DRAT) to be shortlisted for the Ph.D interview.

DRAT has two parts: DRAT-Common (DRAT-C) that is common to all the applicants and DRAT–Subject (DRAT-S) that will be school/research area specific.

DRAT will be conducted as an online AI and human proctored test. The candidates can take the test from their homes. The candidates need not travel to any specific test centers to take the test. DRAT-C shall contain questions on English comprehension, quantitative aptitude, research aptitude and analytical aptitude.

  • The marks distribution for DRAT-Common will be as follows: 
  • English comprehension (5 marks), 
  • Quantitative Aptitude (10 marks), 
  • Research aptitude (10 marks)
  • Analytical aptitude (10 marks).

The candidates will be tested for their knowledge in the subjects and the research areas of interest of the individual schools in the DRAT-S part. Candidates will be shortlisted for an interview/viva-voce based on their JRF qualification or the DRAT score. To be considered for the interview, candidates need to obtain at least 50% marks(35 out of total 70 marks) in DRAT (45% or 31.5 marks for SC/ST/OBC(NCL)/Differently-abled). The shortlisted candidates are required to send one letter of recommendation and a Statement of Purpose (SOP). During the interview/viva-voce, the candidates are required to give a presentation that includes

(a) A brief self-introduction.

(b) A discussion of their research interests and proposed area of research. Alternatively they can present a research proposal.

(c) A presentation of a recent journal or conference paper (published in 2018 or later).The paper has to be selected from a journal/conference contained in the list provided by the schools to their shortlisted candidates. The schools will not share any research paper with the candidates.

The interview/viva-voce shall assess whether

(a) The candidate possesses the competence to work in the proposed research area.

(b) The research work can be suitably undertaken at DUK.

(c) The proposed area of research can contribute to new/additional knowledge.

The list of selected candidates will be published in the DUK website, and they will also be notified by email.

*Part Time and Industry regular participants also will have a special fee of Rs 50,000 from year 2 onwards.

  • Admission fee, caution deposit, lab fee, student amenities charges etc. will be additional.
  • On campus accommodation is charged additionally if availed.
  • An admission fee of Rs 10,000/- and a refundable caution deposit of Rs 5,000/- need to be paid initially by all the selected candidates to confirm their seats for the Ph.D program.
  • DUK scholarship is only for those who are not project assistants and do not have external fellowships such as JRF.
  • All the students who are receiving the DUK scholarship are expected to contribute to the academic activities of the University for around 10 hours every week.
  • email: [email protected]
  • Landline: +91-471-2788019
  • Mob No. 8078193800 (11.00 AM to 5.00 PM only)
  • School of Computer Science and Engineering- [email protected]
  • School of Digital Sciences- [email protected]
  • School of Electronic Systems and Automation- [email protected]
  • School of Informatics- [email protected]

Doctoral Programmes-Important Dates

  • Last date for application: 26 August 2022
  • Date of  DRAT-Common : 4 September 2022
  • Announcement of short list for school level selection process: 11 September 2022
  • School level selection process: 17-27 September 2022

PhD Research Scholars List

phd computer science kerala

List of Top Ph.D. (Computer Science) Colleges In Kerala based on 2024 Ranking

Central University of Kerala - [CUK]

Central University of Kerala - [CUK]

Kasaragod , Kerala | UGC Accredited

  • Course Fees

M.Phil/Ph.D in Science

Farook College

Farook College

Kozhikode , Kerala

No Fees Found

Calicut University - [CU]

Calicut University - [CU]

Calicut , Kerala | UGC Accredited

Kerala University - [KU]

Kerala University - [KU]

Thiruvananthapuram , Kerala | UGC Accredited

Mar Athanasius College of Engineering - [MACE]

Mar Athanasius College of Engineering - [MACE]

Kothamangalam , Kerala | AICTE Accredited

Cochin University of Science and Technology - [CUSAT]

Cochin University of Science and Technology - [CUSAT]

Kochi , Kerala | AICTE , UGC Accredited

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DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD : Fees, Courses, Eligibility & Admission 2024

  • Thiruvananthapuram (Kerala)

DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD Fees

DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD is a 3 Years programme offered in specializations like Biology. DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD admission is offered on the basis of the merit of the qualifying exam.

1 Course is offered by DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA

Ph.d. in aquatic biology and fisheries, dept. of computer science, university of kerala phd eligibility criteria.

To be eligible for the Ph.D. (Doctor of Philosophy) degree program at the Department of Computer Science, University of Kerala, Thiruvananthapuram, applicants must meet certain criteria. Candidates should have a Master's degree in Computer Science or a related field from a recognized university. They should have secured a minimum of 55% marks or an equivalent grade in their qualifying examination. Additionally, applicants are required to clear the entrance examination conducted by the university or qualify in national-level exams such as UGC-NET/JRF, CSIR-NET/JRF, or GATE. Shortlisted candidates will then be called for an interview, where their research aptitude and potential will be assessed. Meeting these eligibility criteria will pave the way for aspiring individuals to pursue their Ph.D. in Computer Science at the esteemed University of Kerala.

DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD Admission 2024

Admission to the PhD at DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA is subject to meeting the eligibility criteria. All shortlisted candidates have to complete the DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD admission process by getting their documents verified and paying the admission fee.

DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD Application Process

DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD application form has to be submitted online by visiting the official website. Candidates aspiring to take admission to the PhD course at DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA have to first check and meet the eligibility criteria and then proceed further with the application process.

Steps to fill DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD application form:

  • Step 1: Visit the official website of DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA and click on ‘apply online’.
  • Step 2: Now, you will be redirected to the admission page of DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA . Complete the registration process and create a profile.
  • Step 3: Fill in all details available in the DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD application form.
  • Step 4: Now pay the DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD application fee and click on submit button.
  • Step 5: After the submission, keep a hard copy of DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD Application Form.

Documents Required for DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA PhD Admission:

  • Marks sheet of class 10th standard
  • Marks sheet of class 12th standard
  • Mark sheet of graduation
  • Transfer certificate (if required)
  • Character certificate
  • Passport-size photographs

Top Courses at DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA

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phd computer science kerala

Kerala University

Thiruvananthapuram, Kerala

Classes start at 9.30 A.M and goes on till 4.30 P.M. W... Read More

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Median Salary

phd computer science kerala

MG University (MGU)

Kottayam, Kerala

I am doing my masters in organic chemistry at Mahatma Gandhi... Read More

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Kochi, Kerala

Accommodation on and off campus at CUSAT is very ... Read More

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NIT Calicut

Calicut, Kerala

In NIT Calicut students are provided with all faciliti... Read More

CMAT, JEE Main

phd computer science kerala

IIIT Kottayam

phd computer science kerala

IIT Palakkad

Palakkad, Kerala

The quality and method of teaching are good at In... Read More

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Amrita School of Arts and Sciences, [ASAS] Kochi

The elegibility criteria is any Bachelor degree with a score... Read More

phd computer science kerala

Amrita School of Arts and Science, Ernakulam

Ernakulam, Kerala

Get Free Scholarship worth 25000 INR

phd computer science kerala

  • Vision, Mission, Quality Policy
  • Infrastructure
  • Computer Science
  • CS & Engineering (AIML)
  • Computer Applications
  • Electronics & Comm.
  • Electrical & Electronics
  • Biotechnology
  • FACULTY OF MANAGEMENT
  • FACULTY OF COMMERCE
  • FACULTY OF LAW
  • FACULTY OF ALLIED HEALTH SCIENCES
  • FACULTY OF ARCHITECTURE
  • FACULTY OF DESIGN
  • FACULTY OF NURSING
  • FACULTY OF PHYSIOTHERAPY
  • FACULTY OF PHARMACEUTICAL SCIENCES
  • FACULTY OF SCIENCE & HUMANITIES
  • Admission Method & Eligibility
  • Fee Details
  • Intake of Courses
  • PESSAT Syllabus
  • Important Dates
  • Documents to Submit
  • CET Admission
  • Hostel Admission
  • Transportation
  • Scholarships
  • Ring Road Campus
  • Electronic City Campus
  • Hanumanthanagar Campus
  • PES Medical Campus
  • Amaatra Academy
  • PES Public School
  • PES Polytechnic
  • Pre-University
  • Centre for Innovation & Entrepreneurship (CIE)
  • Crucible of Research and Innovation (CORI)
  • Patents & Awards
  • Research Domains
  • In the News
  • Publications
  • Clubs & Activities
  • Newsletters
  • New Students
  • PESU Academy Login
  • PESU Live – Video
  • Vision Document

Dr. M. R. Doreswamy

  • Mechanical Engineering
  • Civil Engineering
  • Faculty of Management FACULTY OF COMMERCE FACULTY OF LAW FACULTY OF ALLIED HEALTH SCIENCES
  • Faculty of Architecture FACULTY OF DESIGN FACULTY OF NURSING FACULTY OF PHYSIOTHERAPY
  • Faculty of Pharmaceutical Sciences FACULTY OF SCIENCE & HUMANITIES
  • Pessat Syllabus

Admission Overview

  • Crucible of Research & Innovation (CORI)

Ph.D. and M.Tech. (Research) / Ph.D.

Ph.d. and m.tech. by research.

Part-time opportunities also for teachers and industry professionals.

  • Cutting-edge research areas in engineering, science, and management.
  • Highly experienced Ph.D. faculty on campus: over 70
  • TEQIP/World Bank funding including COE
  • Crucible of Research and Innovation (CORI) – for multi-disciplinary research
  • Several ongoing funded research projects
  • Collaboration with reputed universities and industries
  • Fellowship/Scholarship/Financial Assistance available

Available programs

  • Ph.D. and M.Tech by Research in – Computer Science & Engineering, Electrical Engineering, Electronics and Communication Engineering, Mechanical Engineering, and Biotechnology.
  • Ph.D in – Commerce & Management, Science (Maths, Physics & Chemistry), Computer Applications, and Pharmacy.

Candidates wishing to pursue research careers in interdisciplinary areas are especially encouraged.

Minimum Qualification

  • Ph.D. : A post-graduate degree in a related field of study from a UGC recognized university, with a minimum of 60% aggregate marks (or equivalent grade point average)
  • M.Tech. by Research : UG degree in engineering with at least 60% marks (or equivalent GPA).
  • Reservation Categories (as notified by Govt. of Karnataka): 10% relaxation
  • Distance Education Degrees: not recognized

Program Outline

Affiliation: PES University

10 April, 2024 Last date to submit Application

13 April, 2024 Entrance Exam

Last week of April Interview

Syllabus for Pharmaceutical Sciences Entrance Test:  Click here

Syllabus for Pharmacy Practice and Pharm D:  Click here

Syllabus for PhD Entrance Test:  Click here

Related Information

  • Research Policy
  • Rules and Regulations
  • Amendments to R&R
  • Fee Structure
  • Guidelines to PhD Scholars

Ph.D. Doctoral Committee Meetings

DC Meetings Half Yearly Progress Report

Ph.D. Proposal Defense

Tips to prepare for Proposal Defense Proposal Defense Synopsis Format Research Proposal Format Ph.D. Comprehensive Exam Ph.D. Synopsis Submission Ph.D. Thesis Format

  • Register for PESSAT
  • Request a Call Back

phd computer science kerala

Department of Computer Science

[email protected]

Phone Number:

0471-2515564

  • Alumni List

Head of the Department

Prof. Balu John

Prof. Balu John

Department of Computer Science & Engineering

College of Engineering Trivandrum

Ph: +91-9895259420

[email protected]

Academic Qualifications

M. E. (Computer Science & Engineering), Indian Institute of Science, Bangalore

B.Tech (Computer Science & Engineering), University of Kerala

Professional Experience

Junior Manager (Projects), SAIL 1990 – 1991

Assistant Executive Engineer (R&D), ITI Limited 1991 – 1994

Faculty, Government engineering colleges 1994 – present

Areas of Interest

Computer networks, network security.

Cryptography.

Algorithms, complexity.

Formal methods, automata theory.

Professional Activities

Member of technical committees for various government departments and organizations (including Kerala Police, KSITIL, KELTRON, SIDCO, Kerala Administrative Tribunal, IKM, KIIFB, KSHEC, ICPS, APJAKTU, University of Kerala.

Domain Expert at various selection committees (including KPSC, KELTRON, KSCSTE, and CDAC).

Resource Person at various faculty training programs.

Member, Board of Studies/Faculty (Engineering), University of Kerala 2004 – 2019

Member, Technical Committee (Technology Development & Adaptation Programme), KSCSTE 2016 – 2022.

Visiting Faculty, IIITMK Technopark 2001 – 2011

Eye Boon – A Visual Aid for the Blind : sponsored by Kerala State Council for Science Technology & Environment.

Data Management API for Linux extended file system , IISc Bangalore .

Dr. Sumesh Divakaran

Dr. Sumesh Divakaran

Professor Mob: +91-9497321481 Department of Computer Science and Engineering College of Engineering Trivandrum, 695016 Kerala, India

Phone: +91-4862-233250

Email: [email protected]

Research Interests • Program Verification • Refinement-based Verification and Synthesis • Model Checking • Formal Methods

  • College of Engineering Trivandrum, Kerala State, India; Professor, Computer Science & Engineering; July 2019 – till date
  • Government Engineering College , Idukki, Kerala State, India; Professor, Computer Science & Engineering; Oct 2015 – June 2019
  • Government Engineering College, Idukki, Kerala State, India; Associate Professor, Computer Science & Engineering; Aug 2009 – Oct 2015
  • Rajiv Gandhi Institute of Technology, Kottayam, Kerala State, India; Assistant Professor, Computer Science & Engineering,; Jan 2006 – Aug 2009
  • Rajiv Gandhi Institute of Technology, Kottayam, Kerala State, India; Lecturer, Computer Science & Engineering; Mar 2004 – Dec 2005
  • University College of Engineering, Thodupuzha, Kerala State, India; Lecturer, Computer Science & Engineering; Aug 2001 – Jun 2003

• Ph.D., Computer Science & Engineering, 2015, Indian Institute of Science, Bangalore, India; Advisor: Prof. Deepak D’Souza. • ME, Computer Science & Engineering, 2009, Indian Institute of Science, Bangalore, India; Advisor: Prof. Deepak D’Souza. • BTech., Computer Science & Engineering, University College of Engineering, Thodupuzha, India.

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Dr. Saritha R

Dr. Saritha R

Ph No : 9072696379

Email  : [email protected]

Qualifications

Ph. D in Computer Science & Engineering, University of Kerala M. Tech. in Computer Science, University of Kerala B. Tech. in Computer Science & Engineering, College of Engineering Trivandrum ( University of Kerala)

  • Working as Assistant Professor, Department of Computer Science & Engineering, College of Engineering Trivandrum since June . 2019
  • Worked as Assistant Professor, Department of Computer Science & Engineering, Government Engineering College, Idukki, from September 20018 to June 2019
  • Working as Assistant Professor, Department of Computer Science & Engineering, College of Engineering Trivandrum from June 2009 to March 2016
  • Worked as Lecturer,  Rajiv Gandhi Institute of Technology, Kottayam from March 2007 to June 2009.
  • Machine Learning
  • Data Science
  • Optimization

Recently taught courses

  • DataStructures
  • Fuzzy set Theory and Applications
  • Operating Systems
  • Graph Theory and Combinatorics

List of Publications

1. Saritha. R and Vinod Chandra S S,” Multi Modal Foraging by Honey Bees toward Optimizing Profits at Multiple Colonies, IEEE Intelligent Systems, 34(1),14-22,2019. 2. Saritha.R and Vinod Chandra S S, “Multi-Dimensional Honey Bee Foraging Algorithm Based on Optimal Energy Consumption”, Journal of The Institution of Engineers (India): Series B, Springer,2017 3. Smitha C S and Saritha R. Article: Computational Approaches for Transcription Factor Binding Prediction. International Journal of Computer Applications 94(11):1-5, May 2014. DOI: 10.5120/16384-5969 4. Aswathy Ravikumar, Saritha R, Vinod Chandra S S, “Recent Trends in Computational Prediction of Renal Transplantation Outcomes”, International Journal of Computer Applications (ISSN: 0975 – 8887), Vol. 63, No.12, February 2013, Pages. 33-37. DOI:10.5120/10521-5501 5. Kavitha K V, Saritha R, Vinod Chandra S S, “Computational Methods in Linear B-cell Epitope Prediction”, International Journal of Computer Applications (ISSN: 0975 –8887), Vol. 63, No.12, February 2013, Pages. 28-32. DOI: 10.5120/10520-5498 6.  Prasanth R S and Saritha R, ”Face Recognition In Eigen Domain With Neuro-Fuzzy Classifier and Evolutionary Optimization”, International Journal of Image Processing and Vision Sciences ISSN (Print): 2278 – 1110, Volume-1, Issue-2, 2012

Dr. Piyoosh P

Dr. Piyoosh P

Assistant Professor

Department of Computer Science and Engineering

College of Engineering, Trivandrum

Trivandrum, Kerala-695016.

E-mail: [email protected]

Research Interests:

  • Real-time and Embedded Systems
  • Energy-aware Computing
  • Fault-tolerant Computing
  • Cloud Computing
  • Internet of Things (IoT)
  • Ph.D. Computer Science and Engineering, Indian Institute of Technology Guwahati.  (Research Advisors: Dr. Arnab Sarkar and Dr. Santosh Biswas)
  • M.Tech. Computer Science and Engineering, Indian Institute of Technology Guwahati. (Research Advisors: Dr. Arnab Sarkar and Dr. Santosh Biswas)
  • B.Tech. Information Technology, University College of Engineering, Trivandrum, University of Kerala.

Experiences:

  • Assistant Professor – College of Engineering Trivandrum (CET)  [06/09/2019  onwards]
  • Assistant Professor – Government College of Engineering, Kannur (GCEK) [07/01/2019 – 05/09/2019]
  • Researcher/Teaching Assistant – Indian Institute of Technology Guwahati (IITG) [July, 2012 – Jan, 2019]

Publications:

  • Piyoosh Purushothaman Nair, Arnab Sarkar, Santosh Biswas, “Fault-tolerant Real-time Fair Scheduling on Multiprocessor Systems with Cold-standby”, IEEE Transactions on Dependable and Secure Computing ( Early Access ), 2019. DOI:10.1109/TDSC.2019.2934098.
  • Piyoosh Purushothaman Nair, Santosh Biswas, Arnab Sarkar, ” Design of light weight exact discrete event system diagnosers using measurement limitation: case study of electronic fuel injection system”, International Journal of Systems Science, Taylor and Francis, 49 (8), 1760-1783, 2018.
  • Piyoosh Purushothaman Nair, Rajesh Devaraj, Arnab Sarkar, ” FEST: Fault-Tolerant Energy-Aware Scheduling on Two-Core Heterogeneous Platform”, 8th International Symposium on Embedded Computing and System Design, 2018 (IEEE ISED 2018).
  • Piyoosh Purushothaman Nair, Rajesh Devaraj, Argha Sen, Arnab Sarkar, Santosh Biswas, ” DES based Modeling and Fault Diagnosis in Safety-critical Semi-Partitioned Real-time Systems”, IFAC World Congress, IFAC-PapersOnLine 50 (1), 5029-5034, 2017.
  • Piyoosh Purushothaman Nair, Arnab Sarkar, N.M. Harsha, M. Gandhi, P.P. Chakrabarti, S. Ghose, ” ERfair Scheduler with Processor Suspension for Real-Time Multiprocessor Embedded Systems”, ACM Transactions on Design Automation of Electronic Systems (ACM TODAES), 22 (1), 19, 2016.
  • K Chauhan, Piyoosh P, Arnab Sarkar, Santosh Biswas, ” A priori overload handling in ERfair scheduled embedded systems: Hybrid automata approach”, Annual IEEE India Conference (INDICON), 1-6, 2014.

Professional Achievements:

  • Research Paper Reviewer for:

Conference:

VLSI Design Conference (VLSID) 2017, 2020 (4 articles); VLSI  Design And Test (VDAT) 2016, 2017 (5 articles); IFAC World  Congress, 2017 (1 article); IEEE ISED 2018 (1 article); IEEE CoDIT  2019 (2 articles).

IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • TCS Research Scholar Program (RSP) Scholarship, TATA Consultancy Services (TCS), for the period July, 2015 to June, 2019.
  • National Doctoral Fellowship from AICTE, Min. of HRD, Govt. of India, for the period July, 2014 to June, 2019.
  • GATE Qualified – GATE 2011 (CS), GATE 2012 (CS)

Presentations/talks:

  • IFAC 2017 World Congress | The 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017, Toulouse, France.
  • The 8 th International IEEE Symposium on Embedded computing and system Design (ISED), 13-15 December, 2018, CUSAT, Kerala, India.

Leena V A

Leena V A Assistant Professor

College of Engineering Trivandrum,

Email: [email protected]

  • B. Tech in Computer Science and Engineering, M G University
  • M. Tech in Computer Science and Engineering, CET, Kerala University

Area of Interest

  • Machine Learning, Natural Language Processing
  • Teaching: 4 years
  • Industry: 2 years
  • Principles of Information Security
  • Natural Language Processing

Leena V A, Ajeena Beegom A S, Rajasree M S, Inter Cloud Scheduling Techniques Using Power Of Two Choices- in IEEE International Conference on Computational Intelligence and Computing Research(ICCIC),December,2013.

Leena V A, Ajeena Beegom A S,  Rajasree M S, Genetic Algorithm Based Bi-Objective Task Scheduling in Hybrid Cloud Platform – in International Journal of Computer Theory and Engineering, 2016

SUNITHA D

ASSISTANT PROFESSOR (ADHOC)

COMPUTER SCIENCE AND ENGINEERING

COLLEGE OF ENGINEERING, TRIVANDRUM

Ph: 9400824831

E-mail: [email protected]

Qualification

Diploma in Computer Science and Engineering (Govt. Polytechnic, Vechoochira)

B. Tech in Computer Science and Engineering (M G University)

M.Tech in Computer and Information Technology (M S University)

Image processing, Software Engineering

LEKSHMIPRIYA S B

LEKSHMIPRIYA S B

Ph:9745140962

Email: [email protected]

B Tech Information Technology (Kerala University)

M E Computer Science and Engineering (St.Peters University)

PhD pursuing (Anna University)

Area of Intersest

Cyber Security, Information security, Machine Learning

AKHIL V V

COLLEGE OF ENGINEERING TRIVANDRUM

PH: 9544798129

EMAIL: [email protected]

QUALIFICATION

BTECH: INFORMATION TECHNOLOGY (CUSAT)

MTECH: COMPUTER SCIENCE AND ENGINEERING (KERALA UNIVERSITY)

AREA OF INTEREST

DATA MINING, COMPUTER NETWORKS, MACHINE LEARNING, CYBER SECURITY

HASEELA H A

HASEELA H A

ASSISTANT PROFESSOR(ADHOC)

PH: 9946792708

E-mail: [email protected]

B.Tech in Computer Science and Engineering(Kerala University)

M.Tech in Computer Science and Engineering(Kerala University)

Machine Learning, Deep Learning

SREE VIDHYA K S

SREE VIDHYA K S

ASSISTANT PROFESSOR (AD HOC)

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

PH. NO.: 9746400525

EMAIL ID: [email protected]

QUALIFICATION :

B.TECH IN COMPUTER SCIENCE AND ENGINEERING (KANNUR UNIVERSITY)

M.TECH IN COMPUTATIONAL LINGUISTICS (CUSAT Cochin)

AREAS OF INTEREST:

DEEP LEARNING, MACHINE LEARNING

RENJITHA RADHAKRISHNAN

RENJITHA RADHAKRISHNAN

Dr. Salim A

Dr. Salim A

Ph No : 9446200401

Email : [email protected]

  • Ph. D in Computer Science & Engineering, University of Kerala
  • M. Tech. in Computer Science, National Institute of Technology (NIT),    Tiruchirappalli, Tamilnadu
  • B. Tech. in  Computer Science & Engineering,   TKM College of Engineering, Kollam ( University of Kerala)

1. Currently working as Professor & HOD,  Department of Computer Science & Engineering, College of Engineering Trivandrum

2.Worked as Associate Professor, Department of Computer Science & Engineering, College of Engineering Trivandrum since Feb. 2013

3.Worked as Associate Professor, Department of Computer Science & Engineering, Government Engineering College Sreekrishnapuram, Palakkad from June 2009 to Jan 2013

4.Worked as  Lecturer, in  Government Engineering  Colleges (Aug 2001 – June 2009)

5.Worked as Lecturer,  Government Polytechnics  (Mar. 1995 – Aug 2001).

  • Data Mining
  • Bioinformatics
  • Database Technology
  • Database Management Systems
  • Data Mining and Warehousing

Publications

  • Technical committee Co-chair, International Conference on Control, Communication and Computing (IC4-2018). Organizing committee member of IC4-2013 and IC4-2015.
  • Accreditation coordinator of Department of CSE, College of Engineering Trivandrum
  • Worked as  member of board of studies (computer Science and Engineering) of University of Calicut.
  • Worked as Placement Coordinator, Government Engineering College Sreekrishnapuram (2009- 2012)
  • Worked as Expert Member of University inspection team for affiliation various courses (2012).
  • Worked  in technical committees of several Government / Government Controlled agencies

Faculty Development Programmes Coordinated

  • Linux networking and Administration, Government Engineering College Thrissur (2006)
  • Research Document Preparation Using Latex, College of Engineering Trivadrum (Dec.  2013)
  •  Machine Learning Algorithms and Tools, College of Engineering Trivadrum (Jan.  2015)
  •  Algorithms in Machine Learning, College of Engineering Trivadrum (Dec.  2018)

Invited Talks

Delivered  a number of expert lectures  in Faculty Development Programmes organized by Engineering Colleges and Universities

  • Salim A, Vinod Chandra SS, Association rule based frequent pattern mining in biological sequences, Computational Intelligence and Computing Research (ICCIC), 2013
  •  A. Salim, Vinodchandra SS, Computational Prediction of microRNAs and their Targets, Journal of Proteomics and Bioinformatics, 7, 2014, 193-202
  • P V Shijo, A. Salim,  Integrated Static and Dynamic Analysis for Malware Detection, Procedia Computer Science, 46, 2014,  804-811
  • Roney Thomas, Salim A, A novel decentralized group key management using attribute based encryption, Computational Systems and Communications (ICCSC), 2014
  • K A Sumaira, Salim A, A Walk Through the RNA Motif Discovery Algorithms, 15th National Conference on Technological Trends, College of Engineering Trivandrum, 22-23 August 2014.
  • K A Sumaira, Salim A, VinodChandra SS, SVM-Based Pre-microRNA Classifier Using Sequence, Structural, and Thermodynamic Parameters, Volume 404 of the series Advances in Intelligent Systems and Computing pp 57-67
  • Amitha P. Gopinath, Salim A. An Approach for Faster Processing of Top-k Spatial Keyword Queries, 2015 International Conference on Control, Communication & Computing India (ICCC) | 19-21 November 2015,  Trivandrum
  • Seethal Varghese, Salim A., Vinodchandra S.S. microRNA Binding Site Scoring Model, 2015 International Conference on Control, Communication & Computing India (ICCC) | 19-21 November 2015,  Trivandrum.
  • Salim A, Amjesh R, Vinod Chandra S S, “SVM Based Lung Cancer Prediction Using microRNA Expression Profiling from NGS Data”, Lecture Notes in Computer Science, Springer (ISSN:0302-9743), Vol.9621, Pages. 544-553, March 2016
  •  Salim A, Amjesh R, Vinod Chandra S S, “An improved algorithm for microRNA profiling from next generation sequencing data”, Lecture Notes in Computer Science, Springer(ISSN:0302-9743), Vol.9714, Pages. 38-47, June 2016
  • Nithya S., Salim A. (2017) Dimensionality Reduction by Distance Covariance and Eigen Value Decomposition. Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore
  • Deepta K.P., Salim A. (2017) Detecting Malwares Using Dynamic Call Graphs and Opcode Patterns. Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore
  • Salim A, Amjesh R, Vinod Chandra S S An approach to forecast human cancer by profiling microRNA expressions from NGS data, BMC Cancer (2017)17:77
  • Jisna Joseph, Salim A Privacy Preserving Data Utility Mining Using Perturbation, International Conference on Distributed Computing and Internet Technology (2018) 112-120, Springer
  • Amala Paul, Salim A, A Comparative Study of Text Summarization,  18th National Conference on Technological Trends, College of Engineering Trivandrum,  July 2017.
  • Jisna J., Salim A. (2018) Privacy Preserving Data Utility Mining Using Perturbation. Lecture Notes in Computer Science, vol 10722. Springer (2018)
  • Nimmy Krishnan, Salim A, Machine Learning Based Intrusion Detection For Virtualized Infrastructures, International Conference on Control, Communication & Computing India (IC4-2018) | 5-7 July  2018, Trivandrum

Sreelal S.

Ph No: 9446527819

Email  : [email protected]

Qualifications:

  • M.Tech in Computer Science (NIT, Tiruchirappalli)
  • B.Tech in Computer Science & Engineering (University of Kerala)

Professional Experience:

  • Teaching : 21 years
  • Industry : Nil

Areas of Interest:

  • Data Security & Protection
  • Data Compression
  • Network Security

Recently Taught Courses:

  • Data Compression Techniques
  • Computer Graphics
  • Computer System Architecture

Other Charges held:

  • Chairman S7/S8 B.Tech Degree Examinations(2016-17), University of Kerala.
  • Chief Examiner in B.Tech valuation for various subjects under University of Kerala.

Dr. Dhanya S Pankaj

Dr. Dhanya S Pankaj

Contact Information Assistant Professor Department of CSE College of Engineering, Trivandrum Mobile: (91) 9544165044 Trivandrum, Kerala{695016 E-mail: [email protected]

PhD from Indian Institute of Space Science and Technology Thesis Title : Improved Algorithms for Automatic Registration of 3D Point Clouds. 2012 – 2017 Thiruvananthapuram

M.Tech from University of Kerala Computer Science and Engineering with Specialisation in Digital Image Computing 2009 – 2011 Thiruvananthapuram

B.Tech from University of Kerala, College of Engineering Trivandrum Computer Science and Engineering 2002 – 2006 Thiruvananthapuram

Prafulla P

College of Engineering Trivandrum, 695016

Kerala, India

Email: [email protected]

Mob: +91-9400580525

Educational Qualifications

M.Tech., Computer Science & Engineering (University of Kerala)

B.Tech., Computer Science & Engineering (Cochin University of Science & Technology)

Teaching: 2 Years

Industry: 1 Year

Courses Taught

Distributed Systems

Mobile Communication Systems

System Programming

Image Processing

Computer Vision

BINCY P MATHEW

BINCY P MATHEW

Assistant Professor (Ad Hoc)

Department of Computer Science and Engineering,

College of Engineering Trivandrum.

Mob. No. 9400853799

Email id:  [email protected]

Qualification :

B.Tech., Computer Science and Engineering (CUSAT)

M.Tech., Image Processing (KTU)

Area of interest

Image processing, Machine learning

DIVYA S

Ph:9900190994

Email: [email protected]

BE Computer Science and Engineering (Anna University)

M Tech Computer and Information Technology (MS University)

Teaching :4.5yrs

  • Assistant Professor in Rajiv Gandhi Institute of Technology (VTU), Bangalore

[Aug 2015 to Sept 2016] & [Feb 2019 to May 2019].

  • Lecturer in College of Engineering, Chengannur under IHRD, CUSAT KERALA.

[Jan 2013 – Jan 2014]

  • Lecturer in Narayana guru College of Engineering, Anna University, Chennai.

[Sept 2010 – Dec 2012]

Subjects Handled

1.Compiler Design

2.Software Engineering and Project Management

3.System Software

4.Database Management System.

LUBI E

Assistant Professor (Adhoc)

Mob. No. 8086044318

Email id:  lubi @cet.ac.in

B.Tech., Computer Science and Engineering (MG University)

M.Tech., Computer Science and Engineering (VTU)

BIJI JOY

[email protected]

VIDYA P V

(+91) 9562855415

[email protected]

Asna Salam

Dr. Ajeesh Ramanujan

Contact Information Assistant Professor Department of CSE College of Engineering, Trivandrum Mobile: (91) 9495135213 Trivandrum, Kerala{695016 E-mail: [email protected]

Education Indian Institute of Technology, Madras, Chennai, India Ph.D., Computer Science and Engineering, February 2014 Dissertation Topic: “CONTROL LANGUAGES IN P SYSTEMS” Advisor: Prof. Kamala Krithivasan Cochin University of Science and Technology, Kochi, India M.Tech., Computer and Information Science, May, 2003 LBS, Kasaragod (Calicut University), Kasaragod, India B.Tech., Computer Science and Engineering, Dec, 1999

Rani Koshy

Ph No: 9496754520

Email: [email protected]

Qualifications: M.Tech in Computer Science & Engineering(Cochin University of Science &  Technology), B.Tech in Computer Science & Engineering(Cochin University of Science &  Technology)

Teaching Experience: 15 years

Areas of Interest: Computer Networks, IoT

Recently taught Courses :

Cryptography & Network Security

  • Data Communication
  • Computer Networks

Graph Theory

AJAI RAM

E-mail: [email protected]

Mob: +91 – 9489012356

Industry: 6 Years

Recently Taught Courses

  • Cryptography and Network Security
  • Programming in C
  • Cryptography

Narasimhan T

Narasimhan T

E-mail: [email protected]

M.Tech. in Computer Science and Engineering, University of Kerala

B. Tech. in Information Technology, University of Kerala

TEACHING EXPERIENCE

August 23rd 2023 till date – Assistant Professor in the Department of Computer Science and Engineering, College of Engineering, Trivandrum. December 1st 2021 to August 22nd 2023 – Assistant Professor in the Department of Computer Science and Engineering, Government Engineering College, Wayanad. January 8th 2020 to November 30th 2021 – Assistant Professor in the Department of Computer Science and Engineering, LBS Institute of Technology for Women, Poojappura, Trivandrum. October 19th 2015 to January 7th 2020 – Assistant Professor in the Department of Computer Science and Engineering, LBS College of Engineering, Kasaragod. January 1st 2014 to October 14th 2015 – Assistant Professor in the Department of Information Technology at Mohandas College of Engineering and Technology, Anad, Trivandrum. August 8th 2013 to 20th December 2013 – Faculty Associate in the Department of Information Technology at Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore

Theoretical Computer Science, Computer Networking, Network Security

REMYA N

PH. 9497323896

E-mail: [email protected]

BTECH IN COMPUTER SCIENCE AND ENGINEERING (MG UNIVERSITY)

MTECH IN COMMUNICATION AND NETWORKING (MG UNIVERSITY)

COMPUTER NETWORKS, SOFTWARE TESTING

REVATHY CHANDRAN

REVATHY CHANDRAN

Ph:7558089314

E-mail: [email protected]

  • NET in Computer Science and Applications(Lectureship)
  • M. Tech in Computer Science and Engineering (KTU)
  • B. Tech in Computer Science and Engineering (Mahatma Gandhi University)

Professional experience

Subjects handled

  • Parallel Computer Architecture
  • Neural Networks and Deep Learning
  • Life Skills
  • Wireless Networks and IoT applications

Labs handled

  • Data Base Management Systems
  • Deep Learning
  • Data Structures

SAFEERA N

Ph: 9497470944

Mail id: [email protected]

M.Tech in Computer Science and Engineering (KU)

Machine Learning, Cloud Computing, Software Engineering, Network Optimization

SANTHI R S

PHONE NO:- 9446055646

E-MAIL: [email protected]

B Tech in Computer Science and Engineering(CUSAT)

M Tech in Computer Science and Engineering(Amrita)

Data Structure and Algorithms, Machine Learning

Jiphi T S

Email ID: [email protected]

Phone: 9995265108

DIVYA S K

Vinitha V K

EMAIL: [email protected]

PH: 8606410110

MTECH: COMPUTER SCIENCE AND ENGINEERING (Noorul Islam University)

phd computer science kerala

PhD in Computer Science in Kerala ( Part Time & Full Time )

PhD-in-Computer-Science-in-Kerala

PhD stands for Doctor of Philosophy and is done after completing Masters in a subject. Many students after finishing M.Tech, M.Sc or MCA in Computer Science opt for a PhD course because of the great value it adds. Computer Science is one of the best fields to pursue higher education. The demand for computer science experts is very high in India and other countries.  So, it is no doubt that a PhD in Computer Science is highly valuable. Scholars can opt for PhD program in Computer science either full time or part-time in Kerala.

The duration of part-time Ph.D in Computer Science in Kerala takes 3 to 5 years. This research program in computer science is pursued after passing a Masters degree like M.Tech, M.Sc or MCA. Many universities in India offer Part-Time PhD programs in Computer Science.

This research program is meant for students who are looking to do research and analysis work in the field of Computer Science. This research program is highly beneficial for students who aim to secure jobs at the topmost positions in top IT companies in India and countries like the USA, Canada, Singapore, Germany, UK and Australia.

The fee of the course ranges anywhere between INR 11,000 to INR 2,50,000 depending on the college or the university. As mentioned earlier, Part-Time PhD in Computer Science is offered by many colleges and universities in Kerala and it is as good as a Full-Time PhD.

Part Time PhD in Computer Science and Engineering in Kerala

As the world is advancing, so are computers. We have reached a time where we can’t imagine a life without computers and technology. With the increase in our dependency on computers, many different fields have emerged that claim to make our lives better and easy.

Networking, Data, Digital Electronics, Software Development, Nanotechnology, Electronic Circuitry, Artificial Intelligence, Machine Learning, and many other fields have emerged in the exponential growth of the Computer Science industry. There is a lot of uncharted territory in the field of Computer Science and engineering in India that is looking to be discovered.

Computer Science is one of the top fields for an individual to get into as it will only grow in the coming future. All these reasons have made a sharp increase in the demand for experts in the field of Computer Science. Here is where a PhD in Computer Science comes in. A PhD program in Computer Science in Kerala offers candidates to study and research the dominion of Computer Science and enables themselves with all the necessary requirements to do something big in the sector.

Benefits of PhD Degree in Computer Science (Full Time & Part-Time)

Professionals with a PhD in computer science have distinct advantages as most of the top companies reserve their high-level positrons for PhD holders. Moreover, with the rising demand for technical expertise like artificial intelligence, companies are increasing, including doctoral degree holders in IT and research-based companies.

PhD holders in computer science can start their own research-based companies or teach at the postgraduate level. PhD degree holders are exempted from the NET/SET, and SLET for recruitment to the post of Assistant Professor.

As per the latest UGC circular, PhD holders are now eligible for direct recruitment as an assistant professor in colleges and universities in Kerala like Mahatma Gandhi University (MG University ) Kerala University, Calicut University, Cochin University of Science and Technology (CUSAT), Kerala Technological University (KTU) Kannur University and other universities.

Both full-time and part-time PhD programs can be pursued in the computer laboratory under the guidance of a supervisor.  Some of the major advantages of a PhD degree are listed below:

  • Computer Science is one of the best courses of study for an individual to pursue. There is a very high demand for Computer Science experts in the market and it will only increase by time.
  • There are many different fields of research & study one can pursue while doing a PhD in Computer Science. There are many lucrative & interesting fields that can be explored including Artificial Intelligence, Machine Learning, Quantum Computing, Robotics, Computational Biology, Cloud Computing, Nanotechnology, Data Mining, Fuzzy Logic and many others. Experts in these fields earn a very good amount of money.
  • Computer Science is a very interesting subject and there is always something new to know. It will never get old and boring.
  • Most of the time to obtain high-level and topmost positions in a good technology company, an individual must possess a PhD in Computer Science. So, if one is looking to secure his or her dream job of a top position in a tech giant, he or she must obtain a PhD in Computer Science.
  • If it is someone’s dream of working in ISRO, NASA, or any other Space or Atomic agency, holding a PhD in Computer Science can be a huge plus point.
  • The average salary of a fresh PhD pass-out is anywhere between INR 50,000 to INR 1,50,000 in India.
  • By holding a PhD in Computer Science, one can easily teach in prestigious universities as well as do research work simultaneously.

Who Should OPT for PhD in Computer Science?

  • Students who have been pursuing Computer Science as their major subject in Bachelors & Masters.
  • Individuals who want to get into research in the field of Computer Science.
  • Individuals who want to learn about cutting-edge modern fields like Artificial Intelligence, Quantum Computing, Robotics, Machine Learning, Cloud Computing, Nanotechnology, and many others.
  • Individuals who want to secure top tier jobs at tech giants.
  • Individuals who want to work in Space & Atomic agencies like ISRO, Bhabha Atomic Research Centre, etc.
  • Individuals who want to teach in prestigious universities.

Job Profiles for PhD Computer Science Holders

  • Computer Hardware Engineer.
  • Electrical Engineer.
  • Software Developer.
  • Computer Network Architect.
  • Information Research Scientist.
  • Website Developer.
  • Information Technology Manager.
  • Data Modeler.
  • Security Architect.
  • Computer Data Researcher & Analyst.
  • University Professor.

Eligibility for PhD in Computer Science – Part Time & Full Time in  Universities in Kerala.

An individual applying for PhD in Computer Science in Kerala Universities must have passed Masters Course from a recognized university with at least 55% marks (some universities require 60% for admission). For reserved category candidates, 45% to 50% is required depending on the university. Certain universities also require individuals to pass entrance tests like GATE and CSIR NET.

Ph.D. in Computer Science in Kerala: Highlights

Universities & colleges offering phd in computer science in kerala.

In Kerala, computer science is one of the most demanding fields of studies for doctoral research programs. There are several universities in Kerala that provide excellent research programs in computer science.  Below is the list of  Universities and Colleges offering PhD in Computer Science in Kerala.

  • Cochin University of Science and Technology
  • Kerala University
  • Kerala Technological University (KTU)
  • Kannur University
  • Amrita Vishwa Vidyapeetham Kochi
  • Sree Sankaracharya University of Sanskrit etc..

For the new Ph.D regulations and admission criteria please visit the website of the universities before taking admission.

How Can We Help ?

Study Sure provides updated information regarding the Part-Time PhD Programs in computer science in Kerala We help you to find the best options for colleges and universities in the domain of computer science.

We provide full assistance and guidance throughout the admission process of part-time PhD programs in Kerala and other states. Contact us if you require information about the best universities and colleges offering full time and part-time PhD programs in computer science in Kerala, Tamil Nadu, Madhya Pradesh, and Rajasthan and other parts of the country.

We also provide the below assistance for Ph.D. Computer Science Programs.

  • Entrance Test Preparation
  • Previous Question Papers
  • List of colleges offering PhD in Computer Science

Contact us for admission guidance of  PhD programs in MP, Rajasthan, Etc… Please Call 8086000842  Or Click to Send Enquiry

Related Posts

Part- Time PhD in Kerala  PhD Distance in India PhD Part Time Admission in India CUSAT PhD Admission PhD in Courses in India

Disclaimer: Studysure does not provide any ready to submit thesis, research papers, or any assistance for peparing thesis, synopsis, research proposals etc.

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O.P. Jindal Global University Admissions 2024

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Ranked #1 Private University | Institute of Eminence | NAAC Accredited | AACSB & AIU member | Apply Now

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UGC recognized University | NAAC 'A' Grade | Merit & need-based scholarships available

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North India's Largest Educational Group | NAAC A+ Grade | Highest Package 1 Cr | Scholarships upto 100% | Last date : 30th Apr'24

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#1 All India Top Emerging Engineering College | 100% Placement Track | 200+ Industry Interactions | Scholarships upto 50% | Apply now

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COMPUTER SCIENCE DEPARTMENT

The Department of Computer Science manages all the courses that are related to the Computer Science ( Computer science is the study of the theory, experimentation and engineering that form the basis for the design and use of computers.)  such as B.Sc Computer Science, Bachelor of Computer Application ( BCA), Post Graduate Diploma in Computer Application (PGDCA) , Diploma in Computer Application (DCA) , Diploma in Data entry Techniques and Office Automation (DDTOA), Certificate Course In Library S and Information Science(CCLIC), M.Sc. Computer Science etc… This department is currently functioning in the Main Campus of College of Applied Science, Mavelikkara.

Latha J Nair​

Smt.Latha Nair J

Head Of Department Dept. of Computer Science Mob : +91 9447032077 Email : [email protected]

Our Faculties

Latha J Nair​

COURSES PROVIDED UNDER COMPUTER SCIENCE DEPARTMENT

1. b.sc computer science.

BSc Computer Science is a 3 year undergraduate  program which deals with subjects and topics related to computer application and services.Technological implementation of computer systems is the main agenda of the program.The program ranges widely from creating quality professionals and research fellows who are working in every sector of the world today. It comprises of the subjects like Database, Networking, Data structure, Data analytics, Iot , Artificial Intelligence , core programming languages like ‘C’ and ‘java’.

A pass in Higher Secondary or any other examination recognized as equivalent thereto by the University of Kerala with Mathematics as one of the optional subjects.

For more details visit  UG COURSES page.

2. BCA (Bachelor of Computer Application)

Bachelor in Computer Application (BCA) is an undergraduate degree course in computer applications. With the rapid growth of IT industry in India, the demand of computer professional is increasing day by day. This increasing growth of IT industry has created a lot of opportunities for the computer graduates.

Bachelor in Computer Application (BCA) is one of the popular courses among the students who want to make their career in the IT (Information Technology) field. The duration of the course is 3 years and divided into 6 semesters. It comprises of the subjects like database, networking, data structure, data analytics, Iot ,artificial Intelligence ,core programming languages like ‘C’ and ‘java’. This course provides a lot of opportunities to the students who are interested in computer field and wants to work in the IT sector as programmer or software developer. To get complete knowledge about the course and career scope, you can go through this article.

For more details visit  UG COURSES  page.

3. M.Sc COMPUTER SCIENCE

M.Sc. Computer Science  is a  2-year  program catering to the needs of people interested in the field of computers. Candidates contemplating the course must have passed a second class honors or above in the domain of Computer Science, Mathematics ,Electronics, Physics , Statistics or a Science Graduates with Computer Science/Computer Application as main/subsidiary/core subjects  can join the course. They must have a background of other numerate or computing related fields.

Candidates pursuing this course are provided with an opportunity to develop core competence in the field of computer science and encourages them to make a mark in the much sought after IT industry. Admission to M.Sc Computer Science is based on  merit . University of Kerala    (50%seats)  and IHRD (50% seats) provides admission to the total seats.

For more details visit   M.Sc.Computer Science.

4. PGDCA (Post Graduate Diploma in Computer Application)

The Post Graduate Diploma in Computer Application is a one year full time certificate course provided by the IHRD. For joining PGDCA, the applicant should be a Graduate in any discipline from a recognized University. To know more about PGDCA in detail and download the prospectus, please visit the PGDCA  page

5. DCA (Diploma in Computer Application)

Diploma in Computer Application (DCA), is six months certificate course provided by IHRD. The scheme of study and syllabus has been updated incorporating advanced topics. The course is targeted to the employment opportunities in public and private sector and for self employment.

For more details visit  DCA  page.

6.Diploma in Data Entry Techniques and Office Automation(DDTOA)

Two semesters Diploma Course in Data entry Techniques & Office Automation.The scheme of study and syllabi have been updated incorporating advanced topics. This course is targeted to the employment opportunity in the Private sector and for self-employment, as a data-entry/DTP operator.

Eligibility:

SSLC Pass/equivalent

Course Contents

I semester : Computer Fundamentals & Networking, Data Entry Techniques & Word Processing, Functional English, Lab Practice – 1 (Windows, Data Entry, Internet), Lab Practice – 2 (Office Automation Packages) II semester : Web Technology & Android Applications, Financial Accounting with Tally, Desktop Publishing & Graphics, Lab Practice – 3 (Linux, Internet, Tally) Lab Practice – 4 (DTP, Graphics, Libre Office), Data Entry Speed Test.

7.Certificate Course in Library & Information Science (CCLIC).

Certificate Course in Library & Information Science (Six months course). The scheme of study and syllabus has been updated incorporating advanced topics. The course is targeted to the employment opportunities in public and private sector

Eligibility: A Passin SSLC from Board of Public Examinations, Kerala,with eligibility for higher educationor equivalent

Library Organization & Management, Library Classification &Cataloguing,Information Sources &Services,Information Technology,Library Classification(Practical),LibraryCataloguing (Practical),Information Technology (Practical)

More From Forbes

Clemson to offer m.s. in computer science via coursera; no application required.

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Clemson University will offer an online M.S. in Computer Science for a total of $20,280 intuition.

Clemson University will partner with Coursera to offer a fully online Master of Science in Computer Science degree (MSCS). The announcement was made in a blog release today by Marni Baker Stein, Chief Content Officer at Coursera , the online learning platform and a pioneer of Massive Open Online Courses (MOOCS),

The program, which will have an artificial intelligence focus, is designed to be both affordable and uniquely accessible.

Instead of having to complete a a formal application, any student 1) who holds a bachelor’s degree in any field from an accredited college and 2) earns a B average in two introductory Clemson courses through Coursera will be automatically accepted. They will have 20% of the degree already completed.

Tuition for the complete program is being set at $20,280, 35% less than the comparable hybrid program.

“This Master of Science in Computer Science program is timely, industry-relevant and thoughtfully designed to be approachable to learners from many backgrounds, for example those looking for opportunities for mid-career advancement,” said Brian Dean, Professor and C. Tycho Howle Director of the Clemson School of Computing, in the release.

“The modern and cutting-edge curriculum ensures that learners can succeed, whether they hold a formal computer science background or whether their computing background comes from prior real-world experience. We are excited to be able to partner with Coursera to offer this program at Clemson University,” Dean added.

Enrollment for the new program is scheduled to begin on May 1, 2024, with the first courses beginning in August 2024.

Clemson anticipates that most students will be able to complete the program in 20-36 months, preparing them for careers such as software development, information security analysis, and computer research. Students will be able to watch lecture videos at any time while engaging with peers and tenure-track Clemson faculty in live course sessions and office hours.

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The 10-course MSCS program will feature:

  • An AI-first curriculum. Five of the ten courses will be focused on AI.
  • An emphasis on ethics. To promote ethical use of AI, students will be taught to examine the implications of each AI system before exploring it further.
  • A combination of theory with real-world skills. Students will first learn core software engineering principles before tackling more advanced topics, including deep learning, data science, and data mining.
  • A hands-on approach to learning. Students will be expected to complete complex projects in real-world computing environments, enabling them to build a substantial portfolio demonstrating they know how to apply their knowledge.

“We’re honored to partner with Clemson on this affordable, accessible, and incredibly relevant degree,” said Coursera’s Stein. “Together, we’ll educate future technical leaders, who will thoughtfully use AI to solve society’s most pressing challenges and create a positive impact.”

Clemson’s use of a performance-based admission process is an innovation that bears watching.While the use of standardized admissions tests continues to be hotly debated in higher education circles, actual course performance could prove a fairer and easier alternative for making admission decisions, particularly for certain graduate programs.

Michael T. Nietzel

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CS student Yinlin Deng awarded a Two Sigma PhD Fellowship

Yinlin Deng

“Supporting the Brightest Minds in STEM,” it says on the  Two Sigma Academic Partnerships website .

No pressure, right?

Not for CS PhD student Yinlin Deng, who has been awarded a Two Sigma PhD Fellowship. She said her research “lies at the intersection of software engineering and machine learning, currently focused on improving various coding tasks with Large Language Models (LLMs). I am interested in developing intelligent analysis, testing, verification, and synthesis techniques to improve the reliability, robustness, and performance of software systems, especially for machine learning systems.

Currently, I focus on automated testing with large language models. For instance, my work, TitanFuzz, demonstrated for the first time that LLMs can be directly applied to fuzz test real-world software systems. To date, my work has led to the discovery of 350+ critical bugs in popular software systems, particularly in popular open-source deep learning libraries including PyTorch, TensorFlow, JAX, and OneFlow.”

Deng is a third-year PhD student in computer science. She received her undergraduate degree from  Peking University in 2021.

Deng works with CS professor  Lingming Zhang . Her work “aligns closely with Prof. Zhang’s work in software engineering and its interactions with machine learning.” Zhang, impressed by Deng's unique qualities, said, “Since the first time I met Yinlin on Zoom, I could tell she belongs to the very rare type of students who are strong in both theory/mathematics and system engineering.”

Zhang continued,” As a third-year PhD student, she has already published seven research papers in top-tier Software Engineering, Programming Language, and Machine Learning venues. Besides research publications, Yinlin’s work also has made significant practical impacts. For example, she proposed the first-ever approach to directly leveraging Large Language Models (LLMs) for fuzzing real-world systems, a concept that has since emerged as a widely researched topic across Software Engineering, Systems, and Security areas. 

I have no doubt that Yinlin has high potential and promise to grow to be a star researcher in the intersection of Software Engineering and Machine Learning (e.g., LLMs for programming/testing).”

Two Sigma Investments is a New York-based hedge fund that applies computational methods, including artificial intelligence, machine learning, and distributed computing, in its trading strategies. Deng noted,  “Although my research doesn’t directly involve processing financial information, in my opinion, it may still be of interest to Two Sigma for several reasons. Firstly, hedge funds like Two Sigma also have a huge software development team, and hence, it is critical to enhance the development workflow to improve software quality and productivity. This is especially true for the financial industry, as any bug or feature delay can incur huge financial losses. Second, hedge funds, including Two Sigma, actively leverage artificial intelligence and machine learning in their trading strategies, and therefore, frontier research in these areas is potentially valuable to them.”

As their also website states, Two Sigma’s Academic Partnerships program aims to support “promising students who are engaged in innovative research in STEM fields. Our mission is to foster inclusive academic communities where academics of all backgrounds feel empowered to expand frontiers in STEM.”

Fellowship recipients will receive an award for two consecutive academic years to cover tuition and fees, plus a stipend for living expenses (totaling $160,000 USD). The award is an unrestricted gift paid directly to the university. They will also receive a one-time award paid directly to them. A Two Sigma Research Mentor will be assigned to each fellowship recipient.

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This story was published April 30, 2024.

Computer Science

Kasturi varadarajan 2024 graduate college mentoring award recipient.

Kasturi Varadarajan Picture with award name

CS Professor Kasturi Varadarajan was recently awarded the UI Graduate College’s 2024 Outstanding Mentor Award for his commitment to excellence in teaching and mentoring.   

Dr. Varadarajan is an internationally recognized expert in algorithmic theory, computational geometry, combinatorial optimization, approximation algorithms, and algorithmic game theory. Over his career, Dr. Varadarajan has advised eight PhD dissertations with a ninth currently in progress. Dr. Varadarajan’s students have gone on to achieve tenured or tenure-track positions, work as independent software professionals, or in top tier industrial laboratories.  

Dr. Varadarajan’s mentoring style focuses on hands-on collaboration with his students. He continuously inspires a love for computer science throughout the department and offers advice and support on all aspects of student life.   

“ Professor Kasturi Varadarajan is good at inspiring students’ interest in algorithms. He can use simple proper examples to vividly show how the algorithm works, why the problem is hard to solve, etc. With these examples, it is much easier to find a solution for hard, abstract problems. ” - Xiang Lu, current CS PhD student  
" [Dr. Varadarajan’s] dedication to fostering talent and facilitating academic growth transcends conventional mentorship models ...[ Dr. Varadarajan] embodies the essence of outstanding mentorship, consistently demonstrating a profound commitment to the holistic development of his mentees.” - Erik Krohn, former CS PhD student, a nd incoming Fall '24 faculty

Varadarajan will be given this award at the Graduate College’s Celebration on Wednesday, May 1 at 3:30 in the Old Capitol’s Senate Chambers.

We anticipate that this award will also be included in Spring 2025 Faculty and Staff Awards ceremony; this year's inaugural event takes place Tuesday, April 30 at Hancher Auditorium .

NOTICE: The University of Iowa Center for Advancement is an operational name for the State University of Iowa Foundation, an independent, Iowa nonprofit corporation organized as a 501(c)(3) tax-exempt, publicly supported charitable entity working to advance the University of Iowa. Please review its full disclosure statement.

Alum Alexander Levine Honored with Charles A. Caramello Distinguished Dissertation Award

Descriptive image for Alum Alexander Levine Honored with Charles A. Caramello Distinguished Dissertation Award

University of Maryland Department of Computer Science alum Alexander Levine (Ph.D. '23, computer science) has been awarded the Charles A. Caramello Distinguished Dissertation Award for his dissertation titled "Scalable Methods for Robust Machine Learning." Levine, now a postdoctoral fellow at the University of Texas at Austin , focused on developing machine learning models that maintain accuracy amid distortions. The award ceremony is scheduled for Tuesday, May 14, at the Stamp Student Union. The award is for the dissertation he completed in 2023.

The Charles A. Caramello Distinguished Dissertation Award is given annually by the Graduate School to recognize dissertations that provide highly original contributions that make an unusually significant contribution to the discipline. Levine is among four recipients of the award this year.

Awardees receive an honorarium of $1,000. Additionally, they may be nominated for further recognition at the national level through the CGS/ProQuest Distinguished Dissertation Award competition, which selects outstanding dissertations from across the country to honor achievements in graduate research.

“I feel honored that my work has been recognized by this award,” Levine said. “I am deeply thankful for all of the support I received during my time at UMD from my advisor, my collaborators, my dissertation committee and the rest of the UMD computer science community. I am fortunate to have worked with such talented people on such interesting problems.”

Advised by Associate Professor Soheil Feizi , Levine's dissertation introduces innovative methods for ensuring the robustness of machine learning models, specifically in scenarios where input data may be subtly altered or distorted, including malicious tampering. This research is particularly relevant as machine learning applications become increasingly prevalent in areas requiring high reliability and security.

Levine explained that practitioners can implement these systems more confidently in safety-critical applications by developing machine learning techniques with well-understood robustness guarantees. He noted that the capabilities of machine-learning-based systems have expanded dramatically in just the last couple of years, increasing their use in various sectors. Levine emphasized the growing importance of ensuring these systems' robustness as their applications broaden.

Levine is currently expanding his research focus.

“At UT Austin, my research focus has shifted to representation learning for sequential decision-making tasks,” Levine shared. “In particular, I have been working on frameworks that allow deep learning to be used in combination with search-based planning techniques, so that we can benefit from both the powerful capabilities of modern deep learning and the interpretability, flexibility and efficiency of classical planning methods. ”

Levine received the Larry S. Davis Doctoral Dissertation Award in the Fall of 2023 . Named in honor of Computer Science Professor Emeritus Larry Davis , the award, given by UMD’s Department of Computer Science, highlighted dissertations that were exceptional in their technical depth and potential for significant impact.

—Story by Samuel Malede Zewdu, CS Communications 

The Department welcomes comments, suggestions and corrections.  Send email to editor [-at-] cs [dot] umd [dot] edu .

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University of Central Missouri's Online Master’s in Computer Science Program Achieves Top Rankings for Affordability and Overall Excellence

By Alex Greenwood, May 2, 2024

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WARRENSBURG, MO — The University of Central Missouri’s online Master of Science in Computer Science program is ranked #5 for affordability in TechGuide's 2024 list of Online Master’s in Computer Science degree programs. This ranking highlights the program’s commitment to providing high-quality education at an accessible price point, placing it among the top 25 institutions nationwide for affordability and value.

In addition to its affordability, the program also secured the #12 spot on TechGuide's list for the Best Online Master's in Computer Science degree programs for 2024, further underscoring its excellence in the competitive field of technology education.

The University of Central Missouri's HLC-accredited online master’s in computer science degree equips students with the skills necessary to lead in the tech industry, where professionals are increasingly essential across all sectors. As the largest and one of the most affordable programs in Missouri, UCM offers specialized tracks in cloud computing, general computer science and software development.

This flexibility ensures that graduates are not only proficient in using technology to solve diverse practical problems but are also prepared to lead teams and innovate in their chosen fields. While the program's courses are primarily available in person, students have the flexibility to customize their program options by pursuing their degree entirely online , on a full-time or part-time basis, accommodating various schedules and career goals.

Learn more about the program at the website: https://www.ucmo.edu/academics/programs/masters-degrees/chst/comp-sci-and-cybersecurity/computer-science/computer-science-masters/index.php .

TechGuide, a leading technology education resource platform, is renowned for its comprehensive coverage and expert insights in the technology sector, featuring contributions from esteemed professors and professionals through its "Ask an Expert" series and podcast, which includes more than 50 episodes with tech industry professionals. Learn more: https://techguide.org/computer-science/online-masters-in-computer-science/

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Shira Wein receives Dr. Karen Gale Exceptional PhD Student Award

Shira Wein

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Dr. Shira Wein was the recipient of the Georgetown University Dr. Karen Gale Exceptional PhD Student Award. This award recognizes a Ph.D. graduate student who demonstrates a high level of excellence and expertise in their field. This can include academic and research achievements, excellence beyond course work and commitment to their area of study. Awards are given to one student from each area: humanities, social sciences and sciences and an at-large award.

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  29. University of Central Missouri's Online Master's in Computer Science

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  30. Shira Wein receives Dr. Karen Gale Exceptional PhD Student Award

    Dr. Shira Wein was the recipient of the Georgetown University Dr. Karen Gale Exceptional PhD Student Award. This award recognizes a Ph.D. graduate student who demonstrates a high level of excellence and expertise in their field. This can include academic and research achievements, excellence beyond course work and commitment to their area of study. Awards […]