Akshar S. Chavan
EAS-Lab, ECE Dept., The Ohio State University, Columbus, Ohio, USA
I am currently a Ph.D. student in the Department of Electrical and Computer Engineering at The Ohio State University, supervised by Dr. Marco Brocanelli. My research is dedicated to developing algorithms aimed at optimizing the battery lifespan of autonomous systems. Specifically, I focus on developing algorithms that not only enhance the operational efficiency of these systems but also extend their overall battery longevity. I validate and refine these algorithms through rigorous testing on autonomous mobile robots, where real-world conditions provide crucial insights into their practical effectiveness.
Prior to this, I earned a Master's of Science degree in Industrial Engineering from Wayne State University (2020). During my time there, I collaborated with Dr. Murat Yildirim in the Cyber-Physical Analytics Lab, where our research centered on opportunistic maintenance scheduling for connected vehicles.
My academic journey in engineering began with a Diploma in Automobile Engineering in 2011, which provided me with practical skills and a strong foundation in vehicle mechanics. Building on that foundation, I later earned a Bachelor's degree in Mechanical Engineering from the University of Mumbai in 2014. This combination of hands-on training and academic knowledge has given me a comprehensive understanding of engineering principles. After completing my Bachelor's degree, I accumulated 3.5 years of teaching experience as a Lecturer in the Department of Mechanical Engineering, including roles at Government Polytechnic Thane and St. John College of Engineering and Management.
My diverse educational background equips me with a practical understanding across various engineering disciplines, enhancing my ability to optimize the performance of cyber-physical systems such as autonomous robots.
news
Apr 25, 2024 | Our work on A Battery Lifespan-Aware Protocol for LPWAN was selected for IEEE International Conference on Distributed Computing Systems (ICDCS), 2024. |
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Nov 15, 2023 | Our work on A Maintenance-Aware Approach for Sustainable Autonomous Mobile Robot Fleet Management was selected for IEEE Transactions on Mobile Computing. |
Apr 24, 2023 | Awarded the 2023-2024 Thomas C. Rumble University Graduate Fellowship through the Department of Computer Science at Wayne State University. |
Jul 03, 2022 | Our work on Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets was selected for the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2022. |
selected publications
- IEEEA Battery Lifespan-Aware Protocol for LPWANIn 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) , 2024