I am a Teaching Assistant and PhD candidate at SOC-NUS, working with Assoc. Prof. Leong, Tze Yun. I completed MTech from IIIT-Bangalore in 2012. Prior to MTech I worked with NetApp India Pvt., Ltd., for three years.
I am broadly interested in AI planning, sequential decision making and its applications. My current research is on transfer learning in reinforcement learning using model based approaches. I have explored areas of multi-objective reinforcement learning and hierarchical reinforcement learning during the first couple of years of PhD.
Previously I have worked in the area of cloud computing. Some of the projects include smart metering and chargeback as applied to cloud systems, incorporating power awareness in cloud metering (master's thesis project), workload analysis for virtual machine sizing and location in private clouds (research internship with Infosys labs, India) and QoS monitoring and response in cloud systems.
Some of the other projects I have worked on include building a simulation platform to test crowdsourcing algorithms (research internship with Xerox Research Center, India) and short text spam detection.
Akshay Narayan and Shrisha Rao, "Power Aware Cloud Metering," IEEE Transactions on Services Computing, vol.7, no.3, pp.440-451, July-Sept. 2014. doi:10.1109/TSC.2013.22
Paul Hershey, Shrisha Rao, Charles B. Silio Jr., and Akshay Narayan, "System of Systems for Quality of Service Observation and Response in Cloud Computing Environments," IEEE Systems Journal, vol. 9, no. 1, pp.212-222, March 2015. doi:10.1109/JSYST.2013.2295961
Narayan A., Pillai P.S., Prasad A.S., Rao S. (2017). "Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing". In: Chaudhary S., Somani G., Buyya R. (eds) Research Advances in Cloud Computing, pp 141-186. Springer, Singapore. doi:10.1007/978-981-10-5026-8_7
Akshay Narayan, Zhuoru Li and Tze-Yun Leong, "SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL", 2017. Thirty First AAAI Conference on Artificial Intelligence (AAAI-17), pp. 4975-4976, February 2017, San Francisco. (Extended Abstract)
Zhuoru Li, Akshay Narayan and Tze-Yun Leong, "An Efficient Approach to Model-based Hierarchical Reinforcement Learning", 2017. Thirty First AAAI Conference on Artificial Intelligence (AAAI-17), pp. 3583-3589, February 2017, San Francisco.
Zhuoru Li, Akshay Narayan and Tze-Yun Leong, "A Core Task Abstraction Approach to Hierarchical Reinforcement Learning", 2016 . International Conference on Autonomous Agents and Multiagent Systems (AAMAS'16), pp. 1411-1412, May 2016, Singapore. (Extended Abstract)
Hershey, P.; Silio, C.B.; Narayan, A.; Rao, S., "Cloud-based Mission Observation, Response, Exploitation (CMORE) System," 2014. Eighth Annual IEEE Systems Conference (SysCon), pp.317-324, March 31-April 3 2014. doi: 10.1109/SysCon.2014.6819275
Akshay Narayan and Prateek Saxena, "The Curse of 140 Characters: Evaluating the Efficacy of SMS Spam Detection on Android", 2013. Third ACM Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM '13), pp. 33-42, 4-8 November 2013, Berlin. doi: 10.1145/2516760.2516772
Narayan, A.; Rao, S.; Ranjan, G.; Dheenadayalan, K., "Smart Metering of Cloud Services," Systems Conference (SysCon), 2012 IEEE International, pp.1-7, 19-22 March 2012 doi: 10.1109/SysCon.2012.6189462
Ganesan, R.; Sarkar, S.; Narayan, A.;, "Analysis of SaaS Business Platform Workloads for Sizing and Collocation," Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pp.868-875, 24-29 June 2012 doi: 10.1109/CLOUD.2012.73
Paul C. Hershey, Shrisha Rao, Charles B. Silio Jr., Akshay Narayan. "System of Systems to Provide Quality of Service Monitoring, Management and Response in Cloud Computing Environments", 7th IEEE International Conference on System of Systems Engineering (SoSE 2012), Genoa, Italy, pp. 314-320, 16-19 July 2012 doi:10.1109/SYSoSE.2012.6384208
A. Narayan, J. Sreevalsan-Nair, K. Gaither, and B. Hamann, "Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements", in Proceedings of International Conference on Information Visualization Theory and Applications (GRAPP/IVAPP) 2012, February 2012, pp. 660-669.