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The Department has a fully computerized Library with more than three thousand titles in Computer Science and allied area.The special software developed by INFLIBNET for the modern libraries is used in the Department. A web based information system is developed for managing the non-textual documents of the Department like thesis, dissertations, seminar reports, project reports, negotiated study reports etc. This application is developed using GEISIS Web and WINISIS. The Subscription of various research resources like ACM Digital Library, IEEE (IEL online) through INDEST-AICTE Consortium, etc supports the research students in the department other sister departments.
Some of the facilities available in the Department are given below. Online full text journals through the UGC-INFONET Consortium. Subscription to the online full text of the IEEE journals (IEE online) under the AICTE INDEST Consortium. A bunch of Indian Journals / Magazines like Resonance, Developer IQ, IT Magazine, Digit, Express Computer, Scientific American, CSI Communications
Online catalogue : http://10.11.40.205/SOULWEBOPAC/
Institutional Repository of electronic Theses , Dissertations, Project Reports etc : http://10.11.40.75:8080/jspui/
Department of Computer Science, University of Kerala, Kariavattom Campus, is one of the few University Departments in Kerala that gives primary emphasis on post graduate studies and research in Computer Science and related subjects. It receives good professional support from National R&D Institutions and Industry in the region. The student community is drawn from the entire state of Kerala and the southern districts of Tamil Nadu and most of them (70-80%) are getting placements in reputed firms, R&D organizations and academic institutions. It is a strong research centre in Computer Science and has published a good number of technical articles in International Journals, Conference Proceedings, Publications. In recognition of its efforts in research activities, the Dept. of Science & Technology (DST), Govt. of India is supporting it through the FIST programme with a grant of Rs 50 lakhs. The AICTE gives grants around Rs. 10 lakhs p.a. as scholarships to students undergoing M.Tech Programme. UGC, KSCST and other agencies also support this Department through funding. A doctorate programme is offered to a limited number of students leading to the Ph.D. degree in Computer Science. So far, 12 candidates were awarded Ph. Ds. during the last 7-8 years. Four students have completed their work and one has submitted the work to the University. In addition, five Full Time Research Scholars and 12 Part Time Research Scholars are continuing their work for the Ph.D. Degree.
Project & Activities

1. Methodologies based on Neuro-Fuzzy Techniques and Genetic Algorithms for Modeling and Control of Systems. Supported by Indian Space Research Organization

2. Fractal Analysis of Atmosphere and Astrophysical Data & Image. Supported by STED, Govt of Kerala

3. Performance Analysis of Data and Image Compression Using Fractal and Wavelet Methods Supported by Indian Space Research Organization

4. Image Processing Techniques for Biodiversity Conservations. Supported by TWAS, UNESCO
Kanitha D. K., Shanavas S.A. and Muhammad Noorul Mubarak D., Text Summarization Algorithms within Latent Semantic Analysis, Proceddings of Seventh National Conference Indian Language Computing (NCILC-2017) pp. 18-23., February 2017.
Sithara Kanakaraj, Madhu S. Nair and Saidalavi Kalady, "SAR Image Super Resolution using Importance Sampling Unscented Kalman Filter", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (Accepted) (SCI Indexed, Impact Factor: 2.913)
  • T. T. Sivakumar, Shali S. Nair, Geevar C. Zacharias, Madhu S. Nair and Anna P. Joseph, "Identification of Tongue Print Images for Forensic Science and Biometric Authentication", Journal of Intelligent and Fuzzy Systems, IOS Press. (Accepted) (SCI Indexed, Impact Factor: 1.261)
  • Jithin Gokul, Madhu S. Nair and Jeny Rajan, "Guided SAR Image Despeckling with Probabilistic Non Local Weights", Computers and Geosciences, Elsevier, Vol.109, pp.16-24, December 2017. (SCI Indexed, Impact Factor: 2.818)
  • Arun D. Panicker and Madhu S. Nair, "Open Eye Detection using Iris-Sclera Pattern Analysis for Driver Drowsiness Detection", Sadhana, Indian Academy of Sciences, Springer-Verlag, Vol.42, No.11, pp.1835-1849, November 2017. (SCI Indexed, Impact Factor: 0.465)
  • Sujin Surendran S., Jeny Rajan and Madhu S. Nair, "A Computationally Efficient Non-Local Maximum Likelihood Estimation Approach for Rician Noise Reduction in MRI", CSI Transactions on ICT, Springer-Verlag, Vol.5, No.3, pp.247-257, September 2017.
Dhanya Bibin, Madhu S. Nair and P. Punitha, "Malaria Parasite Detection from Peripheral Blood Smear Images using Deep Belief Networks", IEEE Access, Vol.5, No.1, pp.9099-9108, May 2017. (SCI Indexed, Impact Factor: 3.244) Sabeena Beevi K., Madhu S. Nair and Bindu G. R., "A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images using Deep Belief Networks", IEEE Journal of Translational Engineering in Health and Medicine, Vol.5, No.1, Article Sequence Number:4300211, pp.1-11, April 2017. (Impact Factor: 1.88) Jithy P K, Philomina Simon, Review on Automatic Segmentation Techniques in Medical Images" International Journal of Scientific Research in Computer Science, Engineering and Information Technology,Volume 2 Issue 4, pp 39-45, July 2017 Sahla Habeeba M A, Philomina Simon, "Review on Sparse based Face Recognition Methods in Uncontrolled Environment", International Journal on Computer Science and Engineering, Vol. 9 No.8 pp 548-552 Aug 2017