Akash Kumar
Computer Science · Purdue University West Lafayette
Publications
573
Citations
6,522
Est. group size
—
Recurring co-author estimate
Active years
30
Publishing since 1997
Akash Kumar's research centers on computer hardware and embedded systems, including chip design, hardware security, energy-efficient computing, and specialized circuits for AI applications. Recent work also touches on video-based AI recognition systems and machine learning hardware accelerators. The publication record shows a broad and highly active research program spanning multiple engineering subfields, with some titles suggesting collaborative or interdisciplinary work outside the core hardware focus.
Publication output has grown substantially over the past decade, rising from around 25 papers per year in 2017 to a sustained pace of roughly 45-78 papers annually in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- EAGEL: Explainable And Generalized Structural Exploitation Against Logic Locking
2026
- RobustGait: Robustness Analysis for Appearance Based Gait Recognition
2026
- Cross-Layer Approximation and In-Network Acceleration
2026
- CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates
arXiv (Cornell University) · 2025
- Design, Model, and Explore Approximate Arithmetic Operators with AI/ML: A Tutorial
2025
- Special Sessions - Emerging Scope and Design Challenges for Approximate Computing: Optimizing Accuracy-PPA trade-offs and Beyond
2025
- New α‐Tocopherol‐Isoxazole Hybrids: Synthesis, in Vitro Anticancer and Antioxidant Evaluation, and Molecular Docking Insights
ChemistrySelect · 2025
- Partition Oracles for Bounded Degree Minor-Free Graphs with Sublinear Randomness
2025
- Bayesian Learning Aided Simultaneous Sparse Estimation of Dual-Wideband THz Channels in Multi-User Hybrid MIMO Systems
arXiv (Cornell University) · 2025
- Bayesian Learning Aided Simultaneous Sparse Estimation of Dual-Wideband THz Channels in Multi-User Hybrid MIMO Systems
IEEE Transactions on Vehicular Technology · 2025
- STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding
arXiv (Cornell University) · 2025
- A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning
arXiv (Cornell University) · 2025
- Structurally Secure Obfuscation: Assessing and Mitigating Structural Vulnerabilities in Circuits Obfuscation
ACM Transactions on Design Automation of Electronic Systems · 2025
- EMGAxO: Extending Machine Learning Hardware Generators With Approximate Operators
IEEE Embedded Systems Letters · 2025
- OmViD: Omni-supervised active learning for video action detection
arXiv (Cornell University) · 2025
- arXiv (Cornell University)×47
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×13
- IEEE Access×11
- Embedded systems×9
- IEEE Embedded Systems Letters×6
- Anand Raghunathan
Computer Science · Purdue University West Lafayette
- Goutham Kalikrishna Reddy Kuncham
Computer Science · The Ohio State University
- Geoffrey Brown
Computer Science · Indiana University
- F. Özgüner
Computer Science · The Ohio State University
- Ryan Newton
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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