SEE633 EV Power Electronics
Course project exploring multilevel topologies for traction inverters and low-voltage auxiliary output. Includes MMC/CHB simulations with harmonic analysis and modulation trade-offs.
Currently pursuing M.Tech at IIT Kanpur (2025-Present, CPI: 9.5/10) after completing B.Tech (2021-2025, CPI: 8.7/10) from the same institute. Specializing in Power Electronics, Electric Vehicles, and AI-assisted modeling for Wireless Power Transfer systems. Working on cutting-edge research with Dr. Suvendu Samanta on ML frameworks for WPT coil parameter estimation.
I am currently pursuing MTech in Electrical Engineering at IIT Kanpur with a CGPA of 9.5/10, building upon my BTech degree (CGPA: 8.7/10) from the same institute. My research focuses on AI-assisted modeling and parameter estimation of Wireless Power Transfer coils, combining machine learning with power electronics.
My academic journey includes securing All India Rank 2798 in JEE Advanced 2021 and receiving multiple A* grades awarded to top 1-2% students. I am passionate about developing innovative solutions in power electronics, electric vehicles, and AI applications.
Hands-on contributions across EV powertrains, wireless power transfer research, and lab mentorship.
Indian Institute of Technology, Kanpur
Responsible for managing and helping students conduct experiments at Electro-Mechanical conversion Labs. Guiding undergraduate students through complex laboratory procedures and electrical engineering concepts.
Jaguar Land Rover TBSI
Developed an integrated AC-battery system architecture enabling simultaneous AC traction drive and low-voltage DC generation for next-gen electric vehicles. Modeled and simulated advanced multilevel converter topologies (MMC, CHB) in PSIM, producing clean and stable 400V AC output. Engineered a novel modulation strategy enabling controlled dual-output (400V AC + 12V DC) from a single MMC, eliminating redundancy.
IIT Kanpur - Supervisor: Dr. Suvendu Samanta
Working on "AI-Assisted Modelling and Parameter Estimation of Litz-Wire and Ferrite-Core WPT Coils under Misalignment". Developed a Transfer Learning-based ML Framework for accurate parameter modelling of WPT coils. Achieved 2% higher efficiency compared to analytical-based modelling approaches and maintained parameter estimation error below 4%.
Select repositories highlighting wireless power transfer modeling, ML fundamentals, and student-led research.
Course project exploring multilevel topologies for traction inverters and low-voltage auxiliary output. Includes MMC/CHB simulations with harmonic analysis and modulation trade-offs.
Classical controller design exercises for DC-DC converters: modeling, compensator tuning, and robustness checks with frequency-domain techniques.
Numpy-first walkthrough of stochastic gradient descent and learning rate schedules with visualizations of convergence behavior on toy problems.
Mel-spectrogram pipeline and lightweight CNN for environmental sound classification. Includes data prep, augmentation, and evaluation notebooks.
Indian Institute of Technology, Kanpur
Department: Electrical Engineering
Current CPI: 9.5/10
Indian Institute of Technology, Kanpur
Department: Electrical Engineering
CPI: 8.7/10
Sri Chaitanya Educational Institution, Vijayawada, AP
Stream: Mathematics, Physics, Chemistry
Percentage: 95.6%
Sri Chaitanya School, Guntur, AP
CGPA: 10/10
Indian Institute of Technology Kanpur
Coordinated a team of junior executives in contacting potential speakers, sponsors, and exhibitors. Reached out to influential figures in the technology industry for keynote speeches and discussions. Built a comprehensive contact list of speakers and partners using research and networking skills.
Indian Institute of Technology Kanpur
Organized lectures, workshops, and projects to engage and mentor new students. Exhibited society's research and projects at the Science & Technology Pavilion. Created a blog series on advanced Deep Learning topics.
Highlights from national examinations, scholarships, and academic performance.
Secured All India Rank 2798 among 1.51 Lakh shortlisted candidates
Secured All India Rank 2491 among 1.3 million candidates
Received ₹1 Lakh study grant from LPU University for securing All India Rank of 298
Secured A* grade in 3 courses, awarded to top 1-2% students in each course
Deep dives on EV converter design, wireless power transfer, and ML workflows I use in research.
Notes from my thesis work on pairing analytical baselines with ML to keep parameter estimation error below 4% under lateral misalignment.
Read post →Building an MMC that drives traction while supplying regulated 12 V without extra hardware, plus what the simulations taught me.
Read post →Research Publication - Wireless Power Transfer Systems
Developed a comprehensive ML framework combining analytical modeling with machine learning for accurate parameter estimation of Wireless Power Transfer coils. The research focuses on Litz-wire and ferrite core-based rectangular WPT systems under lateral misalignment conditions, achieving significant improvements in parameter estimation accuracy.
Feel free to reach out to me for collaborations, research opportunities, or if you'd like to discuss anything related to power electronics, control systems, machine learning, or electrical engineering.
manideep21@iitk.ac.in
+91-8639620862
Hyderabad, Telangana
IIT Kanpur, Uttar Pradesh
English, Hindi, Telugu