Researches in the areas of machine learning methods & applications, power-efficient computing, network system design & validation, and algorithms & optimization techniques. His research ranges from algorithms to low-power design, from silicon to intelligent systems.
Research area includes Bioinformatics, Data Mining, and Soft computing. Her experiment involves cancer biomarker discovery from gene expression data, finding the batch effects on omics data and detecting rare cell types from single-cell gene expression data. Using recently awarded Teachers Associateship for Research Excellence (TARE) from SERB and DST project, she is interested to develop a computational drug-ranking system.
Research domain consists of designing and establishing some novel approaches for solving these real-world combinatorial optimization problems. A large number of these real-world problems can be viewed as special cases of the constraint-satisfaction problem such as educational timetabling, vehicle routing, personnel scheduling, and transport logistics scheduling.
Has focused on designing algorithms and models on energy efficiency, routing, sharing of limited bandwidth, and security provisioning in wireless multimedia sensor networks in his immediate-past and present research works. He wants to address energy efficiency, bandwidth sharing, and security in the Internet of Things (IoT) also.
Primary research area includes Big Data analytics, Distributed Linear Algebra, Spatial Data Mining, and Information Retrieval. In terms of usability, his research applies to large scale weather prediction and climate science. His other research interests are in the field of Music Informatics, Music Information Retrieval, and Music Computing.
Is currently working on medical image fusion and plans to further pursue “Medical Image analysis using reconfigurable platforms”. His research work involves image processing, Medical image analysis, multimedia signal processing, design of parallel architectures, accelerated and reconfigurable computing. This also involves mapping computation to Graphics Processing Unit, Field-Programmable Gate Array, or Multi-Core Processor for real-time implementation.
Works in the domain of Information security where image encryption is one of the important needs. He focuses on lightweight image encryption techniques. His research interests are also in machine learning and predictive analytics.