Incremental analysis of large VLSI Layouts. - Akash Agrawal; Prosenjit Gupta (Integr., 2009)

Throughput of TCP over Cognitive Radio Channels. - Sudheer Poojary; Akash Agrawal; Bhoomika Gupta; Archana Bura; Vinod Sharma (GLOBECOM, 2015)

Range search on tuples of points. - Akash Agrawal; Saladi Rahul; Yuan Li 013; Ravi Janardan (J. Discrete Algorithms, 2015)

A Wide-Band Receiver Front-End with Programmable Frequency Selective Input Matching. - Manas Kumar Lenka; Akash Agrawal; Vishal Khatri; Gaurab Banerjee (VLSID, 2016)

A framework for fast test generation at the RTL. - Kelson Gent; Akash Agrawal; Michael S. Hsiao (VTS, 2017)

On the arrangement of stochastic lines in ℤ2. - Yuan Li 013; Jie Xue 003; Akash Agrawal; Ravi Janardan (J. Discrete Algorithms, 2017)

SP-NET: One Shot Fingerprint Singular-Point Detector. - Geetika Arora; Ranjeet Ranjan Jha; Akash Agrawal; Kamlesh Tiwari; Aditya Nigam (CoRR, 2019)

The most-likely skyline problem for stochastic points. - Akash Agrawal; Yuan Li 013; Jie Xue 003; Ravi Janardan (Comput. Geom., 2020)

Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models. - Akash Agrawal; Christopher McComb (J. Comput. Inf. Sci. Eng., 2023)

A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations. - Akash Agrawal; Mayesh Mohapatra; Abhinav Raja; Paritosh Tiwari; Vishwajeet Pattanaik; Neeru Jaiswal; Arpit Agarwal; Punit Rathore (CoRR, 2024)

Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment. - Akash Agrawal; Christopher McComb (CoRR, 2024)

Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization. - Akash Agrawal; Christopher McComb (CoRR, 2025)