Embedded Genomics
Bringing genomic computation closer to where it is needed.
Hardware/software co-design, bioinformatics acceleration and energy-efficient embedded clusters for genomic workloads.
Inquiry. Ingenuity. Impact.
Learn deeply.
Act boldly.
We build intelligent, energy-efficient systems at the intersection of computing, genomics and battery technology.
Led by Dr. Sidharth Maheshwari at IIT Jammu.
Through knowledge, illumination.
Through action, progress.
Our research
Hard questions.
Purposeful systems.
From molecular data to battery health, we study how computation can make complex technologies more practical, reliable and accessible.
Intelligent battery systems
Understanding batteries. Extending their useful life.
Battery state estimation, diagnostics and intelligent cell balancing through physical models and data-driven methods.
Efficient & parallel computing
More useful computation from constrained resources.
GPU graph algorithms, heterogeneous scheduling and resource-aware machine learning for embedded and edge systems.
A shared way of working
Curiosity is the beginning.
Careful work carries it forward.
Our group connects models, algorithms and hardware. We value clear questions, reproducible experiments and the patience to learn from results that challenge our assumptions.
Meet our doctoral researchers →Build with us
Bring a question worth pursuing.
Explore research opportunities and collaborations across computing, energy and genomics.
Join the conversation ↗