पराक्रम प्रयोगशालाPRAKRAM LABSResearch directions
These themes describe the group’s research agenda and development goals, rather than claims of deployed services.
01 / Genomics & systems
Investigating hardware/software co-design for affordable, energy-efficient genomic computation on embedded clusters. The work includes bioinformatics acceleration and scheduling sequencing workloads on heterogeneous computing platforms.
02 / Environmental applications
A longer-term vision for integrating sampling, sequencing and on-site computational analysis in a mobile molecular diagnostics platform. Environmental water-quality monitoring and antimicrobial-resistance surveillance motivate this work.
03 / Energy & mobility
Combining battery models and machine learning to improve charge and health estimation, diagnostics and cell balancing. The research addresses reliability, lifetime and the practical demands of electric mobility.
04 / Algorithms & architectures
Accelerating graph algorithms on GPUs and investigating efficient machine learning for resource-constrained devices, including Tsetlin Machines. The common goal is useful computation within realistic power and resource budgets.