Dr. Salim A
Qualifications
- 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)
Professional Experience
- Working as Associate Professor, Department of Computer Science & Engineering, College of Engineering Trivandrum since Feb. 2013
- Worked as Associate Professor, Department of Computer Science & Engineering, Government Engineering College Sreekrishnapuram, Palakkad from June 2009 to Jan 2013
- Worked as Lecturer, in Government Engineering Colleges (Aug 2001 – June 2009)
- Worked as Lecturer, Government Polytechnics (Mar. 1995 – Aug 2001).
Areas of Interest
- Machine Learning
- Data Mining
- Bioinformatics
Recently taught courses
- Database Technology
- Machine Learning
- 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
List of Publications
- 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
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: sdivakaran@cet.ac.in
Research Interests
• Program Verification
• Refinement-based Verification and Synthesis
• Model Checking
• Formal Methods
Experience
- 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
Education
• 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.
Sreelal S.
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
- Operating Systems
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. Saritha R
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)
Professional Experience
- 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.
Areas of Interest
- 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
Rajasree R.
Qualifications
- B. Tech – Computer Science ( University of Kerala )
- M. Tech – Computer Science with specialization in Digital Image Processing (University of Kerala)
Area of Interest
- Image Processing
- Machine Learning
- Artificial Intelligence
Professional Experience
- Teaching: 10 years
Recently taught courses
- Computer Networks
- Computer Organization & Architecture
- System Software
List of Publications
- Madhu S Nair, R Rajasree, Jisha John, M Wilscy , Expectation-Maximization with Distance Measure for Color Image Segmentation, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems
- MS Neethu, R Rajasree , Sentiment analysis in twitter using machine learning techniques, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)
- SS Ajish, R Rajasree, Secure Mail using Visual Cryptography (SMVC), 2014 Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)
- Pavithra T P, Rajasree R, Reversible and Secure False Color Based Image Privacy Protection with Color Palette Generation, 4th International Conference on Control, Computing and Communication, July 2018
- Jimna T P, Rajasree R, Face Spoof Detection on Smartphones, National Conference on Technological Trends (NCTT)-2017 College of Engineering Trivandrum July 2017
Other contributions
- Faculty mentor for CS Department, IEDC, CET
- Staff Advisor, 2015 admission Btech Batch
Thania Kumar
Qualifications:
- B.Tech – Information Technology
- M.Tech – Computer and Information (Cochin University)
Areas of Interest:
- Networks
- Bioinformatics
Professional experience:
- Teaching: 6 Years
Recently Taught Courses:
- Networks
- Database Security (P.G.)
- Introduction to Sustainable Engineering
- Life Skills
List of Publications:
- “Image Forgery Detection on image pair of same plane using planar homography and Epipolar Geometry”, IEEE International Conference on current techniques in Medical Image Processing
- “My kid, an android based child tracking system”, International Journal of Scientific & Amp; Engineering Research Volume 7, Issue 5, May 2016, JSSN 2229-5518
Kavitha N
Mobile No : 9947676333
Email : kavitha@cet.ac.in
Qualification : M.Tech in Computer Science & Engineering
Teaching Experience : 17 Years
Area of Interest : Database Security
Membership in Professional bodies : ISTE Life Membership
Vipin Vasu A V
Qualifications:
- B. Tech – Computer Science and Engineering, Cochin University Of Science And Technology
M. Tech – Computer Science And Engineering, National Institute of Technology Karnataka, Surathkal Mangalore
Area of Interest
- High-Performance Computing
Professional Experience
- Teaching: 13 years
Recently taught courses
- Advanced Software Engineering.
- Advanced Computer Networks
- Compiler Design Lab
- Network Programming Lab
Publications
- Bintu Balachandran , Vipin Vasu A. V , XSS Attack Mitigation Techniques on Web Appplications, National Conference on Technological Trends (NCTT)-2017, Vol-2, pp 654-658 July 2017
- Arya K S, Vipin Vasu A. V , Speculation Techniques for Stock Market, Appplications, National Conference on Technological Trends (NCTT)-2017, Vol-2, pp 654-658 July 2017
Rani Koshy
Preethi L.
Qualifications
M. Tech – Computer Science & Engineering (IIT Madras)
B. Tech – Computer Science & Engineering (University of Kerala)
Area of Interest
Data structure and Algorithms, Theory of Computation, Discrete Structures
Professional Experience
Teaching: 10 years
Research: Nil
Industry : Nil
Recently taught courses
Graph Theory, Mathematical Foundations of Computing Systems, Switching Theory and Logic Design, Data structures and Algorithms, Theory of Computation, Compiler Design, Advanced Compiler Design
List of Publications
1. Hari K, Preethi L “ Fault-tolerant routing with minimum delay for mesh architecture” International Conference on Control Communication & Computing- 2018
2. Nishi T S, Preethi L “Illuminant Based Inconsistencies for Image Forensics”, International Conference on Research Trends in Engineering , Science & Technology- 2017
3. Anoop Joy, Preethi L “Efficient and Fast Detection of Accidental Data leaks using Semi global Alignment” National Conference on Technological Trends- 2017
Other contributions
1. Organized FDP on Algorithms at GECI
2. Department library in-charge
3. Member of Department Time table Committee
4. Member of Department Series Committee
5. Faculty advisor of B. Tech/ M. Tech
6. Question paper setter for various examinations of B. Tech and M. Tech under Kerala University & KTU
7. Chief Examiner for B. Tech and M. Tech university valuation under Kerala University & KTU
Binsy N Rashad
Ajeena Beegom A S
Dr. Ajeesh Ramanujan
Contact Information
Assistant Professor
Department of CSE
College of Engineering, Trivandrum Mobile: (91) 9495135213
Trivandrum, Kerala{695016 E-mail: ajeeshramanujan@gmail.com
Research Interests
Formal Languages and Automata theory, Unconventional Models of Computations
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
Academic Experience
Amrita Institute of Technology, Kollam, India Lecturer May, 2004 – May, 2005
Taught undergraduate level course for the B.Tech in Computer Science and Engineering .
Government Engineering College, Palakkad, India Lecturer June, 2005 – Dec, 2008
Taught undergraduate level course for the B.Tech in Computer Science and Engineering .
IIT Madras, Chennai, India
Graduate Student Jan, 2009 – Dec, 2013
Includes Ph.D. research, Ph.D. and Masters level coursework and teaching assistant for under graduate and graduate level courses.
Government Engineering College, Palakkad, India
Assistant Professor Jan, 2014 – June 2017
Teaching undergraduate level course for the B.Tech in Computer Science and Engineering and graduate level course for M.Tech in Computational Linguistics.
College of Engineering, Trivandrum, India
Assistant Professor July, 2017 – present
Teaching undergraduate level course for the B.Tech in Computer Science and Engineering and graduate level course for M.Tech in Computer Science and Engineering and Information Science.
Publications
Atulya K Nagar, Ajeesh Ramanujan and K G Subramanian, Control Words of String Rewriting P Systems, International Journal of Advances in Engineering Sciences and Applied Mathematics,
10(3), 230{235, 2018.
Kamala Krithivasan, Gheorghe Paun and Ajeesh Ramanujan, On Controlled P systems, Fundamenta Informaticae 131, 451{464, 2014.
Ajeesh Ramanujan and Kamala Krithivasan, Control Languages associated with Spiking Neural P Systems, Romanian Journal of Information Science and Technology, 15(4), 301{318, 2012.
Kamala Krithivasan, Gheorghe Paun and Ajeesh Ramanujan, Control words associated with P systems, Frontiers of Membrane Computing: Open Problems and Research Topics byM. Gheorghe, Gh. Paun and M. J. Perez-jimenez – editors, Int. J. Fountations of Computer Science, 24(5), 568{569, 2013.
Kamala Krithivasan, Ajeesh Ramanujan, On The Power Of Distributed Bottom-up Tree Automata, Int. J. of Advanced Computer Science, 3(4), 184-190, 2013. .
Conference Presentations
Krishnaprasad P and Ajeesh Ramanujan, Natural language generation using rst with morphology learning using factorized word vectors, accepted for presentation in the 7th National Conference on Indian Language Computing (NCILC-2017) held at CUSAT, 2017.
Krishnaprasad P, Sooryanarayanan A and Ajeesh Ramanujan, Malayalam text summarization: An extractive approach, Proceedings of the International Conference on Next Generation Intelligent
Systems (ICNGIS), 1-4, 2016.
Krishnaprasad P and Ajeesh Ramanujan, Ramanujan sums based image kernels for computer vision, Proceedings of International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 835-839, 2016.
Ajeesh Ramanujan, Kamala Krithivasan and Vipin Vasu A V, On Control Languages of Spiking Neural P Systems with Anti-spikes, Proceedings of the Third Asian Conference on Membrane Computing (ACMC), which will be held in Karunya University, Coimbatore, India, September 18-19,2014.
Ajeesh Ramanujan and Kamala Krithivasan, Control languages associated with tissue P systems, Proceedings of the Twelfth International Conference on Unconventional Computation and NaturalComputation 2013, Milano, Italy, Lecture Notes in Computer Science, 7956, 186-197,2013, Milan, Italy, July 1{5, 2013.
Ajeesh Ramanujan and Kamala Krithivasan, Control Words of Transition P Systems, Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA2012), Advances in Intelligent Systems and Computing, 201, 145-155, 2013.
Kamala Krithivasan, Gheorghe Paun and Ajeesh Ramanujan, Control words associated with P systems, Frontiers of Membrane Computing: Open Problems and Research Topics by M. Gheorghe, Gheorghe Paun and M. J. Perez-Jimenez – editors, published in the second volume of the proceedings of 10th Brainstorming Week on Membrane Computing, Sevilla, 171-250, 2012. Also published in Int. J. Fountations of Computer Science, Volume No.24(5), 568{569, 2013.
Kamala Krithivasan and Ajeesh Ramanujan, Matrix Representation of Spiking Neural P Systems with Delay, Proceedings of the Twelfth international conference on membrane computing, France,283-298, 2011.
Deepthi V. R.
Qualifications
- B. E – Computer Science and Engineering (Anna University)
M. Tech – Computer Science and Engineering(NIT, Calicut) - Area of Interest
- Computer Architecture and Data structures
Professional Experience
- Teaching: 10 years
Research: 0 - Industry :0
Recently taught courses
- Microprocessors and Microcontrollers
- Operating Systems, Web Technologies
- Introduction to Computing and Problem Solving
- Computer System Architecture
List of Publications
- “Clustering of protein-protein interaction network using fractal dimension of protein sub networks” , V R Deepthi, G Gopakumar, TENCON 2015 – 2015 IEEE Region 10 Conference, Year: 2015, Pages: 1 – 5
- ANFIS based color constancy algorithms selection system for dark image enhancement, A N Thasni , V R Deepthi, Anu Bonia Francis, 2016 International Conference on Next Generation Intelligent Systems (ICNGIS), Year: 2016, Pages: 1 – 6
- Spam Detection Framework for Online Reviews Using Hadoop’s Computational Capability, Lekshmi M B, V R Deepthi, International Conference on Control, Communication and Computing (IC4) -2018
Remya Krishnan
Qualifications:
- B. Tech – Computer Science and Engineering (University of Kerala)
- M. Tech – Computer Science and Information Systems (MG University)
Areas of Interest:
- Image Processing
- Fuzzy logic
- Neural networks
- Machine Learning
Professional Experience:
- Teaching: 1.5 years
- Industry : 2.3 years
Recently taught courses
- Soft Computing
- Machine Learning
- Web Technology
- Design and Engineering (B.Tech)