CV
Basics
Name | Akshar Chavan |
Label | Graduate Research Associate |
chavan.43@osu.edu | |
Url | https://aksharc2.github.io/ |
Summary | Driven Doctoral Researcher with a proven track record in Computer Systems, Cyber-Physical Systems, and Energy-Aware Systems, specializing in Battery Optimization. My research focuses on developing innovative solutions for enhancing energy efficiency, resilience, and scalability. I possess a strong foundation in research and development, coupled with practical skills in system design and implementation. |
Teaching
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2023.08 - 2023.12 Part-time Faculty
Wayne State University
Teaching Computer Operating Systems an undergraduate level course.
- Operating Systems
-
2015.06 - 2018.05 Lecturer
St. John College of Engineering and Management, Palghar, Maharashtra, India
Teaching Mechanical Engineering Courses to the Diploma in Mechanical Engineering Students
- Thermal Engineering
- Fluid Mechanics
- AutoCAD
- Engineering Drawing
-
2015.01 - 2015.05 Visiting Lecturer
Government Polytechnic Thane, Thane, Maharashtra, India
Teaching Mechanical Engineering Courses to the Diploma in Mechanical Engineering Students
- Thermal Engineering
- Engineering Drawing
Volunteer
-
2019.02 - 2019.12 Michigan, USA
Member
Cyber-Physical Analytics Lab - Wayne State University
Worked on opportunistic maintenance scheduling of connected vehicles under the guidance of Dr. Murat Yildirim
- Developed aunified maintenance scheduling framework for a large fleet of connected vehicles that integrate multi-vehicle routing, maintenance, and predictive analytics using real-time sensor-driven data.
- Modeled mixed fleet dynamic vehicle routing problems (DVRP) considering uncertainties and drone delivery
- Investigated the impact of disruptions on logistics for heterogeneous vehicle fleets.
Education
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2024.01 - Present Ohio, USA
PhD in Electrical and Computer Engineering
The Ohio State University
Computer Systems
- Cyber Security
- Reinforcement Laearning
-
2020.08 - 2023.12 Michigan, USA
PhD in Computer Science
Wayne State University
Computer Systems
- Machine Learning
- Algorithms and Data Structures
- Parallel Computing
- Robot Operating System I and II
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2018.08 - 2020.05 Michigan, USA
Masters in Industrial Engineering
Wayne State University
Deterministic Optimization
- Applied Statistics
- Deterministic Optimization
- Supply Chain Management
- Engg. Risk and Decision Analysis
-
2011.10 - 2014.06 Maharashtra, India
Bachelors in Mechanical Engineering
Mumbai University
Mechanical Engineering
- Fluid Mechanics
- Automobile Engineering
- Thermodynamics
- Thermal Engineering
- Operations Research
- Heat and Mass Transfer
- Industrial Electronics
Awards
- 2023.04.24
Thomas C. Rumble University Graduate Fellowship
Wayne State University
The Thomas Rumble Fellowship supports Ph.D. students by providing financial aid and research assistantships, aimed at optimizing their performance and establishing clear outcomes at each training stage.
Achievements
- 2018.04.30
First Place at Formula Kart Design Challenge (FKDC)
The Fraternity of Mechanical and Automotive Engineers (FMAE)
FMAE is a prestigious professional organization dedicated to promoting excellence in the fields of mechanical engineering and automotive technology. FMAE brings together a diverse community of engineers, researchers, academics, and industry professionals who are passionate about advancing the knowledge and practice of mechanical and automotive engineering.
- First Place: Overall, Business Plan, Skidpad, Autocross, Endurance & Fuel Economy
- Second Place: Design & CAE
- 2017.04.30
Third Place at Formula Kart Design Challenge (FKDC)
The Fraternity of Mechanical and Automotive Engineers (FMAE)
FMAE is a prestigious professional organization dedicated to promoting excellence in the fields of mechanical engineering and automotive technology. FMAE brings together a diverse community of engineers, researchers, academics, and industry professionals who are passionate about advancing the knowledge and practice of mechanical and automotive engineering.
- First Place: Endurance & Fuel Economy
- Second Place: Skidpad
- Third Place: Overall
Certificates
IBM Data Science Specialization | ||
Coursera | 2019-06-01 |
Publications
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2025 Rethinking Energy Management for Autonomous Ground Robots on a Budget
Akshar Chavan and Marco Brocanelli
ArXiv preprint
-
2025 A Clique Partitioning-Based Algorithm for Graph Compression
Akshar Chavan, Senaz Rabina, Daniel Grosu and Marco Brocanelli
ArXiv preprint
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2024 A Maintenance-Aware Approach for Sustainable Autonomous Mobile Robot Fleet Management
Syeda Tanjila Atik, Akshar Chavan, Daniel Grosu and Marco Brocanelli
IEEE Transactions on Mobile Computing
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2024 A Battery Lifespan-Aware Protocol for LPWAN
Sezana Fahmida, Akshar Chavan, Venkata Prashant Modekurthy, Abusayeed Saifullah and Marco Brocanelli
2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)
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2022 Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets
Akshar Chavan and Marco Brocanelli
2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
Skills
Programming Languages: Python (4+ years), C (2+ years), C++ (2+ years) | |
Robotics and Embedded Systems: Robot Operating System (ROS) (Proficient in developing ROS nodes and packages,experience with Gazebo simulation), Arduino (Experience with microcontroller programming and sensor integration), Mobile Robotics (Experience with control algorithms and sensor integration for wheeled robots) | |
Machine Learning: Keras, TensorFlow, Reinforcement Learning | |
Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Plotly | |
Version Control: Git, GitHub | |
Shell Scripting: Bash scripting, Linux terminal commands | |
High-Performance Computing: Parallel computing (MPI, OpenMP), Job scheduling (Slurm) |
Languages
English | |
Fluent |
Hindi | |
Fluent |
Marathi | |
Native Speaker |
Interests
Energy Aware Systems | |
Robotics | |
Autonomous Systems | |
Edge Computing | |
IoT | |
Scheduling |
Graph Algorithms | |
Graph compression | |
Parallel Computing |
Projects
- 2024.01 - 2024.04
Reinforcement Learning based: Battery lifespan aware scheduling of delivery robots
Reinforcement learning based autonomous delivery robot scheduling to minimize the battery degradation rate. This project aims to extend the robots battery life.
- Reinforcement Learning
- Autonomus Robots