Analysis of SaaS Business Platform Workloads for Sizing and Collocation. - Rajeshwari Ganesan; Santonu Sarkar; Akshay Narayan 002 (IEEE CLOUD, 2012)

Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements. - Akshay Narayan 002; Jaya Sreevalsan-Nair; Kelly P. Gaither; Bernd Hamann (GRAPP/IVAPP, 2012)

System of Systems to provide Quality of Service monitoring, management and response in cloud computing environments. - Paul C. Hershey; Shrisha Rao 001; Charles B. Silio Jr.; Akshay Narayan 002 (SoSE, 2012)

The curse of 140 characters: evaluating the efficacy of SMS spam detection on android. - Akshay Narayan 002; Prateek Saxena (SPSM@CCS, 2013)

Cloud-based Mission Observation, Response, Exploitation (CMORE) System. - Paul C. Hershey; Charles B. Silio Jr.; Akshay Narayan 002; Shrisha Rao 001 (SysCon, 2014)

Power-Aware Cloud Metering. - Akshay Narayan 002; Shrisha Rao 001 (IEEE Trans. Serv. Comput., 2014)

System of Systems for Quality-of-Service Observation and Response in Cloud Computing Environments. - Paul C. Hershey; Shrisha Rao 001; Charles B. Silio Jr.; Akshay Narayan 002 (IEEE Syst. J., 2015)

A Core Task Abstraction Approach to Hierarchical Reinforcement Learning: (Extended Abstract). - Zhuoru Li; Akshay Narayan 002; Tze-Yun Leong (AAMAS, 2016)

Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing. - Akshay Narayan 002; Parvathy S. Pillai; Abhinandan S. Prasad; Shrisha Rao 001 (Research Advances in Cloud Computing, 2017)

An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. - Zhuoru Li; Akshay Narayan 002; Tze-Yun Leong (AAAI, 2017)

SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. - Akshay Narayan 002; Zhuoru Li; Tze-Yun Leong (AAAI, 2017)

ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement Learning. - Jatin Goyal; Abhijith Madan; Akshay Narayan 002; Shrisha Rao 001 (ICONIP (3), 2018)

Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. - Akshay Narayan 002; Tze-Yun Leong (AAMAS, 2019)

Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. - Xinyi Xu; Tiancheng Huang; Pengfei Wei 001; Akshay Narayan 002; Tze-Yun Leong (CoRR, 2020)

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. - Xudong Shen; Hannah Brown; Jiashu Tao; Martin Strobel 001; Yao Tong; Akshay Narayan 002; Harold Soh; Finale Doshi-Velez (CoRR, 2023)

Optimizing Asynchronous Collaboration in Virtual Classrooms. - Cheng Yi Pei; Akshay Narayan 002 (EDUCON, 2024)

Integrating AI in Software Engineering Teaching and Learning. - Akshay Narayan 002; Bimlesh Wadhwa; Nigel John Jun Tan; Marcus Choo (TALE, 2024)

Directions of Technical Innovation for Regulatable AI Systems. - Xudong Shen; Hannah Brown; Jiashu Tao; Martin Strobel 001; Yao Tong; Akshay Narayan 002; Harold Soh; Finale Doshi-Velez (Commun. ACM, 2024)

Attaining Self-Directed Learning Outcomes Through Experiential Learning. - Li Hong Idris Lim; Andi Sudjana Putra; Jennifer Rudolph; Elliot Law; Akshay Narayan 002 (EDUCON, 2025)