About
I am an energy enthusiast! With a background in modeling Lithium-ion batteries for aging,…
Activity
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I’m proud to be listed as one of the 10 Most Influential Leaders Shaping the #EV Landscape, 2024 - what a great way to celebrate 2 years at Pacific…
I’m proud to be listed as one of the 10 Most Influential Leaders Shaping the #EV Landscape, 2024 - what a great way to celebrate 2 years at Pacific…
Liked by Anurag Kamal
Experience
Education
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Michigan Technological University
Activities and Societies: Entrepreneur's Club, Tau Beta Pi, Mind Trekkers, Broomball tournament.
My curriculum covered all the components of an electric powertrain: motors, inverters, and "batteries", and wrote my thesis towards mathematical modeling of aging in Lithium-ion cells. I also took business administration courses of "Marketing and Globalization", and "Entrepreneurial Ventures".
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A full time academic curriculum based on business, design thinking and public speaking, and venture project for Electricfish, an energy-storage based EV charging business.
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Activities and Societies: SAE collegiate club, Core committee : Pantheon'13, Bitotsav'14
I was a part of an automotive student design competition for 3 years. We designed an all-terrain vehicle to compete for endurance races, an acceleration track, and hill-climb. The major courses I took were Automotive engineering, Mechatronics, and Control systems. I worked on a project of electrification of a cycle rickshaw as my final year project.
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Volunteer Experience
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Tutor, Electric Vehicles
Ganpat University
- 8 months
Education
Taught courses focused on Electric Vehicle technology, and Smart Grids.
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EV Committee Member
DISTRIBUTECH International
- Present 1 year 4 months
Science and Technology
Evaluating submissions for EV track in the DistribuTECH conference for 2024, and 2025.
Publications
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Multi-Robot Mission Planning with Static Energy Replenishment
Journal of Intelligent & Robotic Systems
I worked towards generating simulations of multiple UAVs in gazebo environment, for validating motion planning algorithms before actual hardware testing.
Other authorsSee publication -
Design Analysis & Parametric Optimization of Gerotor Oil Pump for Improving Volumetric Efficiency: papers.sae.org/2016-28-0113/
SAE International
It is an attempt to aid a future internal gear pump designer, by plotting the relationships of intrinsic pump design parameters with its volumetric efficiency.
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Learning Navigation Tasks from Demonstration for Semi-Autonomous Remote Operation of Mobile Robots
IEEE
Data collection and q-learning on a husky robot, for an uninterrupted autonomous operation indoors.
Other authorsSee publication
Courses
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Advanced Electric Machinery
EE5255
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Autonomous systems
MEEM 4707
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Energy Storage Systems
ME5375
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Intro Electric Machinery and Drives
EE4220
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Introduction to Hybrids and Electrics
MEEM4295
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Launching Entrepreneurial Ventures
BA5720
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Marketing and Globalization
BA5800
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Quantum Computing
https://brilliant.org/
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Time Series Analysis
MA4720
Projects
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Automated Manual Transmissions (AMT) equipped bus
- Present
We are working to automate the existing range of manual transmissions (TM), in addition to the new developments of modular TMs for light duty applications. The cycle starts from design and development of automated components, hardware alignment, software development, related EMS parameter calibrations, and finally endurance runs for making a production mature product.
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Teaching neural networks to solve partial differential equations (PDEs)
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Inspired from the complexity posed by Lithium-ion battery models, and a high computational time required by current PDE solvers, this project aims to teach neural networks to make approximations to the nonlinear PDEs using convolution-based neural networks. The approach is to use solved plots from the existing finite element solvers to generate datasets for the net.
A 12 layers deep network reached an average accuracy of 8%, with the error non-linearity varying from 2% to 30%. The…Inspired from the complexity posed by Lithium-ion battery models, and a high computational time required by current PDE solvers, this project aims to teach neural networks to make approximations to the nonlinear PDEs using convolution-based neural networks. The approach is to use solved plots from the existing finite element solvers to generate datasets for the net.
A 12 layers deep network reached an average accuracy of 8%, with the error non-linearity varying from 2% to 30%. The neural networks, again, were found to be 6 times faster for a single dimensional PDE, and could be faster in magnitudes of order 3 in case of a Li-ion application. -
Electrochemical Modeling of Lithium-ion Cells
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Studying continuum scale, state space models in light of the computational power of automotive BMS's.
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Simulating swarm behavior of Drones & ground robots in Gazebo environment
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Path planning of PX4 autopilot drones and Clearpath Husky robots to simulate survelieance and charging behavior for a continuous operation.
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Shift System Design: Next Gen transmission
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The project aimed at the design of a new X(proprietary info) speed TM, for extending the existing range of manual transmissions, and to fulfil the untapped need of a frugal high gear transmission for the Indian commercial automotive industry.
I was responsible for the design of the range actuated shift system of this transmission, which had to be modular for an upgrade to an automated manual transmission. The first prototype has promising results, and an effective cost reduction from…The project aimed at the design of a new X(proprietary info) speed TM, for extending the existing range of manual transmissions, and to fulfil the untapped need of a frugal high gear transmission for the Indian commercial automotive industry.
I was responsible for the design of the range actuated shift system of this transmission, which had to be modular for an upgrade to an automated manual transmission. The first prototype has promising results, and an effective cost reduction from the parent transmission.Other creators -
Feasibility Study: Electric Rickshaw
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Honors & Awards
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Rising Stars in EV Industry 2022
Business Insider
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Stanford Global Energy Heroes 2022
Stanford’s Precourt Institute
https://energy.stanford.edu/news/stanford-s-precourt-institute-announces-winners-2022-global-energy-heroes-competition
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Forbes 30 under 30, Class of 2022, Energy
Forbes
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JN Tata Scholar
Dorabji Tata Trust
Awardee of the JN Tata Endowment, meant for promoting the higher study of Indians.
Test Scores
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Graduate Record Examination (GRE)
Score: 323
V156/Q167/AWA3.5
Languages
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English
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Hindi
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German
Elementary proficiency
Organizations
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Tau Beta Pi
Graduate Officer
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Society of Automotive Engineers
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- Present -
Techstars Energy | Equinor, Oslo Norway
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