Dr. Salim A
Professor
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
Responsibilities held
- 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. M. Abdul Nizar
Professor
Qualifications
- B. Tech – Computer Science and Engineering (University of Kerala)
- M. Tech – Computer Science (IIT Kharagapur)
- PhD – Databases (IIT Madras)
Area of Interest:
- Databases
- Data Analytics
- Web Technology
Professional Experience
- Teaching: 25 years
- Research: 4 years
- Industry : 1 year
Recently taught courses
- Topics in Database Technology
- Data Structures
- Principles of Database Design
- Switching Theory and Digital Logic
|
Journal |
Conference |
Total |
|
|
National |
0 |
3 |
3 |
|
International |
3 |
18 |
21 |
|
Total |
3 |
21 |
24 |
Other contributions
- Working as Member of the Board of Studies of the Faculty of Engineering and Technology of University of Kerala
- Domain Expert of Selection committee of departmental promotion committee of CDAC, Thiruvananthapuram .
- Coordinator, WB-IMPACT Project
- Academic Coordinator, WB-TEQIP
- Technical Committee Member in KPSC, Higher Education council, Chalachitra Academy, Information Kerala Mission, State Election Commission
Sabitha S.
Associate Professor
Rani Koshy
Assistant Professor
Rajasree R.
Assistant Professor
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
Rini Vijayan
Assistant Professor (AdHoc)
Qualifications
- B. Tech –Computer Science and Engineering(University of Kerala)
- M. Tech – Computer and Information science(CUSAT)
Area of Interest
- Computer Networks
- Cryptography
- Neural Networks
Professional Experience
- Teaching: 4.5years
Recently taught courses
B.Tech
- Software Engineering
- Data Structures and algorithm
- Formal Methods and Automata Theory
M.Tech
- Network Security
- Research Methodology
- Foundations of Network Security
Binsy N Rashad
Assistant Professor (Adhoc)
Liji P.I.
Associate Professor
Qualifications:
- B.Tech in Computer Engineering
- M.Tech in Computer Science and Engineering
Areas of Interest:
- Computer Networks
- Fuzzy Logic
- Software Engineering
- I.o.T.
Professional Experience:
- Teaching : 20 Years
Recently Taught Courses:
- Computer Networks
- Fuzzy Logic
- Software Engineering
List of Publications:
- Liji P.I and Bose S,’Analysis Self Similar Traffic in Next Generation Network,’Emerging trend in Engineering and Technology, Trivandrum,2016 pp56-63.
- Liji P.I and Bose S,’Dynamic Resourse Allocation in Next Generation Computers Using FARIMA Time Series Mode’, Proceeding Communication and Power Engineering,’ ISBN 978-3-11-046960-8.
- Liji P. I and Bose S,’Analysis of Packet Loss in Next Generation Networks Using Large Derivation’,International Journal of Computing, Communications & Instrumentation Engg. (IJCCIE) Vol. 3, Issue 2 (2016)ISSN 2349-1469 EISSN 2349-1477
- Liji P. I and Bose S,’Traffic Modeling for Next Generation Networks’.,Asian Journal of Information Technology, Vol.no 15 pp 4291-4298.
- Liji P. I and A Dipin ‘Real time data traffic analysis using Poisson process in next generation network’ International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) 2014
- Arun Tom ,Liji P I and Manoj B S ‘On reducing energy consumption as a function of space and time in mobile devices ‘IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
- 2016
- T V Jasheer Shihab and Liji P I ‘Simple and secure Internet voting scheme using generalized paillier cryptosystem’ International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) 2017
Other contributions:
- Chairman for B.Tech and M.Tech programme in Universities of Kerala and KTU
- NCTT and ICCC-15 Co-ordinator in the department
- P.G Co-ordinator in the department
Sreelal S.
Associate Professor
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.
Deepthi V. R.
Assistant Professor
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
Preethi L.
Assistant Professor
Thania Kumar
Assistant Professor (AdHoc)
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
Ajeena Beegom A S
Associate Professor
Vipin Vasu
Associate Professor
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
Dr. Ajeesh Ramanujan
Assistant Professor
Rani Krishnan
Assistant Professor (AdHoc)
Qualifications:
- B. Tech –Computer Science
- M. Tech – Computer Science (University of Kerala)
Areas of Interest:
- Image Processing
- Computer Vision
Professional Experience:
- Teaching: 4 months
Recently Taught Courses:
- Signals and Systems,Digital Image Processing (B.Tech),
- Operating System Design (M.Tech)
Remya Krishnan
Assistant Professor (AdHoc)
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)