Vedant Zope

I am currently a graduate student pursuing a Master’s degree in Computational Science and Engineering, with a focus on quantitative finance, at the University of Pennsylvania. I completed my Bachelor's of Technology (Honors) in Engineering at the Indian Institute of Technology, Kharagpur in 2024.

My research experience includes a project at the Stanford School of Medicine with Prof. Pascal Geldsetzer, where I worked on developing a machine learning model for estimating maternal and child health indicators in low- and middle-income countries using geotagged satellite imagery data.

In the summer of 2023, I conducted research at Aalto University in Finland, focusing on development of an end-to-end inverse parameter calibration pipeline for the Swift-Voce hardening law and the eMBW ductile fracture model, working on the Puhti HPC at Prof. Junhe Lian's lab.

In 2022, I worked on weather-dependent UAV path planning and routing optimization using the Bees Algorithm in collaboration with Prof. D.T. Pham from the University of Birmingham.

I was also an active member of TeamKART (Formula Student Team) at IIT KGP, contributing to the design and manufacturing of Formula Student prototypes for national as well as international competitions.

Beyond academics, I am an active derivatives trader and investor in global markets, an avid swimmer, and a track and field athlete with numerous medals.

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You can read my blogs here.

• [May '24] Admitted to the University of Pennsylvania for a Master's in Computational Science
• [April '24] Awarded the Institute Order of Merit from IIT Kharagpur for four years of outstanding achievement
• [October '23] National runner-up at the American Express Campus Superbowl Challenge
• [September '23] Recognized as one of the top interns at Prof. Geldsetzer's lab, Stanford School of Medicine, receiving a \$2,000 prize
• [May '23] Awarded a €7000+ ASCI Scholarship to pursue research at Aalto University, Finland
• [January '23] Won gold in the QuantInsti event at Inter IIT Tech Meet 11.0
• [March '23] Received the Amgen Scholars grant for research at Kyoto University, Japan
• [September '22] Presented UAV Path Planning research at the International BAA Workshop 2022
• [July '22] National winners at Formula Bharat Virtuals (Indian Formula Student engineering design competition), among 30+ teams
• [April '22] Began UAV Path Planning project under Prof. D.T. Pham at the University of Birmingham
• [March '22] Member of the gold-winning Grand Championship Hall Team at IIT Kharagpur
• [January '20] Joined TeamKART (Formula Student) IIT KGP as a Trainee
• [October '20] Achieved All India Rank 5946 in JEE Advanced, admitted to IIT Kharagpur

This publication extends our previous work to incorporate obstacle avoidance, resulting in a comprehensive mission planning algorithm. The approach encompasses routing optimization and obstacle avoidance, offering a fully fledged solution for UAV mission planning.

We presented a strategy for UAV routing optimization under varying weather conditions, using the combinatorial Bees Algorithm and a tuned machine learning model trained to account for external weather parameters.

• Fine-tuned YOLOv11 for basketball/player detection with CSRT tracking for continuous 30-frame ball tracking
• Developed a zooming algorithm to track the ball and players in-frame, dynamically adjusting camera zoom
• Created a post-game analysis pipeline featuring heatmap visualization and automated commentary using the GPT-Vision API

The motivation behind Real Resume is clear: you are more than what appears on a single sheet of paper. We ask IIT Kharagpur students and alumni to submit “Real Resumes” answering prompts about who they are beyond typical CV items.

Created to help IIT Kharagpur students navigate thesis project selection, MyBTP features a directory of professors with reviews from previous students, aiding new batches in making informed decisions about their thesis advisors and topics.

Design inspired by Jon Barron