I am a final year Computer Science Ph.D candidate. My research focus is to reduce fuel/power consumption, improve traffic condition and to reduce of driver fatigue by using platoons of autonomous vehicles. Traditionally, platoon maneuvers are accomplished either by centralized or deliberate decentralized methods. My technique is to use a novel biologically inspired decentralized method called the Emergent Decentralized system and have implemented ADEPT – Adaptive Decentralized Emergent PlaTooning system that performs platoon maneuvers dynamically. I have demonstrated that emergent systems are versatile and can also be used in the design of coordinated traffic control algorithms. I plan to graduate by the end of summer 2023.
Currently, I am a Principal Engineer at Marvell Technologies working on Compute Express Link (CXL), the next generation memory technologies for data centers. This technology will be used in building composable system or Software Define Systems. I have 20+ years of industry experience and have worked in various fortune 500 companies like Sun Microsystems, Juniper, Cisco and Rockwell Automation, with varied full stack experience starting form hypervisors and device drivers to cloud providers. My fortes are leadership, broad domain knowledge, being a great team player and my attitude and aptitude to learn new technologies and excelling at them. I have a M.S in Computer Science from Arizona State University and B.E in Computer Science from Mysore University, India. I’m married to Anitha and blessed with two sons, Chinmay and Achintya.
- Sreenivasamurthy, Shesha, and Katia Obraczka. “Multi-Vehicle Merge in Adaptive Decentralized Emergent Behavior PlaTooning.”2023 IEEE 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2023.
- Sreenivasamurthy, Shesha, and Katia Obraczka. “Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles.” 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 2021.
- Sreenivasamurthy, Shesha, and Katia Obraczka. “Clustering for Load Balancing and Energy Efficiency in IoT Applications.” 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2018.
- Sreenivasamurthy, Shesha, and Shayna Frank. “Efficacy of season prediction for geo-locations using geo-tagged images.” Information Reuse and Integration (IRI), 2015 IEEE International Conference on. IEEE, 2015.
- Narasimhamurthy, S.B., Gurumohan, P.C., Sreenivasamurthy, S. and Hui, J.Y., 2005. “Quanta data storage: an information processing and transportation architecture for storage area networks”. Selected Areas in Communications, IEEE Journal on, 23(10), pp.2032-2040