Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (IWSC, 2020)

Gesture and Speech Recognizing Helper Bot. - Kailash Gogineni; Akhil Chitreddy; Anirudh Vattikuti; Natarajan Palaniappan (Appl. Artif. Intell., 2020)

MPD: Moving Target Defense Through Communication Protocol Dialects. - Yongsheng Mei; Kailash Gogineni; Tian Lan 001; Guru Venkataramani (SecureComm (1), 2021)

Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (CoRR, 2021)

Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (MILCOM, 2022)

Foreseer: Efficiently Forecasting Malware Event Series with Long Short-Term Memory. - Kailash Gogineni; Preet Derasari; Guru Venkataramani (SEED, 2022)

A Framework for Server Authentication using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (CoRR, 2022)

Mayalok: A Cyber-Deception Hardware Using Runtime Instruction Infusion. - Preet Derasari; Kailash Gogineni; Guru Venkataramani (ASAP, 2023)

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. - Kailash Gogineni; Yongsheng Mei; Tian Lan 001; Peng Wei; Guru Venkataramani (ASAP, 2023)

MAYAVI: A Cyber-Deception Hardware for Memory Load-Stores. - Preet Derasari; Kailash Gogineni; Guru Venkataramani (ACM Great Lakes Symposium on VLSI, 2023)

Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems. - Kailash Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (CoRR, 2023)

Towards Efficient Multi-Agent Learning Systems. - Kailash Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (CoRR, 2023)

Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems. - Kailash Gogineni; Yongsheng Mei; Karthikeya Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (IISWC, 2024)

SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. - Kailash Gogineni; Sai Santosh Dayapule; Juan Gómez-Luna; Karthikeya Gogineni; Peng Wei; Tian Lan 001; Mohammad Sadrosadati; Onur Mutlu; Guru Venkataramani (ISPASS, 2024)

LLMs on a Budget: System-Level Approaches to Power-Efficient and Scalable Fine-Tuning. - Kailash Gogineni; Ali Suvizi; Guru Venkataramani (IEEE Open J. Comput. Soc., 2025)