Her research works concentrates on Meta language frameworks and compiler associated tools. She has developed a Meta Platform for Java and C++ extendable to any object oriented languages. Her areas of interest also include compiler optimization and virtual machine architecture.
She has collaborated with Kerala State Electricity Board and associated with Maniyar Hydro Electric Power Plant. Her area of research includes expert systems and machine intelligence techniques such as ANN and ILP. She has developed a prototype expert system for Fault Analysis and Forecasting of Power Plants.
He is associated with KSEB distribution side and interested in harmonic studies. His area of interest includes VLSI design and Genetic algorithms.
He is interested in Computational biology algorithms with special focus on microRNAs. He had conducted many short-term courses and conducted many presentations. His present interest includes competing endogenous RNAs, where different RNA transcripts communicate with and co-regulate each other.
Her research interest is Swarm intelligence, a subfield of Nature-inspired computing. She has worked on swarm-based algorithms for Solving Global Optimization Problems.
Anusha is a computational biologist from the Computational Biology and Bioinformatics Department, University of Kerala. Her research interests are in biological soft computing techniques and specialize in machine learning algorithms for the computational analysis of short non-coding RNAs. Her research work was on the study and prediction of piRNAs.
Her area of interest is health informatics, a multidisciplinary field including both computer science and medicine. Her research work includes in the field of organ transplantation and its survival rate prediction by machine learning techniques.
His interest is in the intersection of social systems and computational methods. From the past seven years, he is building a strong background and authenticity in social network analysis and computational social systems. His works include studies of Influence Maximization in Twitter networks, diffusion of knowledge, Viral marketing for social media, socio-political networks, technology forecasting, recommender systems etc.
His research works concentrate on Meta-heuristic algorithms. His current research interest is in applying Nature-inspired optimization algorithms in software engineering processes automation. The applications in a real-time system are one of his leading techniques.
Her research is design of Nature inspired optimization techniques to solve Computational Biology problems.Suma gives keen interest in Micro array gene expression data analysis. Taking the gene expression data as a large matrix, variants of a powerful technique, NMF(Non negative matrix factorization) were applied for mining biologically meaningful patterns.