CV

EDUCATION

Master of Science in Electrical & Computer Engineering

(Signal and Image Processing and Machine Learning)

University of Michigan, Ann Arbor, MI (Expected Aug 2027)

Bachelor of Science in Computer Engineering with Distinction

Purdue University, West Lafayette, IN (Dec 2024)

RESEARCH EXPERIENCE

Researcher

LASER (Life-cycle Assessment Synthesized with Ecosystems and Risk), University of Michigan

Aug 2025 - Present

• Designed and trained a fully convolutional neural network (FCN) for biomass prediction from multi-source satellite imagery using PyTorch and Rasterio
• Developed CNN encoders for multichannel image patches and residual MLPs for tabular feature fusion
• Built an end-to-end inference pipeline to generate large-scale biomass prediction maps over geographic regions
• Performed GIS-based validation and error analysis to diagnose spatial artifacts and model failure modes

Undergraduate Research Assistant

Autonomous Motorsport Purdue, Purdue University

Aug 2023 - Dec 2024

• Created an automated annotation pipeline using YOLOv8 to scale training data generation and minimize manual labeling
• Developed a CNN-based real-time track and lane detection system for autonomous racing under extreme conditions
• Achieved 47× faster inference than YOLOv8 with 65% fewer parameters, enabling real-time
• deployment
• Co-developed RoRaTrack, the first multi-camera road-racing dataset with pixel-level track annotations
• Designed RaceGAN, a GAN-based model that outperformed 8 state-of-the-art baselines on racing scenarios

Undergraduate Research Assistant

ECELabs, Purdue University

Jun 2023 - Dec 2024

• Built and maintained an online FPGA experimentation platform used by 200+ students, enabling remote hardware access and monitoring
• Designed a full-stack dashboard to track device performance, usage metrics, and system health
• Improved Diagram ↔ SystemVerilog translation pipelines by 50×, significantly accelerating iteration and debugging workflows
• Implemented design-rule checks and static analysis tools to improve code correctness and development efficiency
• Developed VGA and audio hardware extensions for ICE40 FPGA using Pmod interfaces

TEACHING EXPERIENCE

Teaching Assistant Department of Computer Science, Purdue University

Jan 2023 - Dec 2024

• Led in-person lab sessions on C programming for over 50 students.
• Held weekly office hours and organized exam review sessions.

SELECTED PROJECTS

Senior Design Electrical Lead

Purdue University

Aug 2024 - Dec 2024

• Led the electrical design for an autonomous vehicle, integrating custom PCBs for autonomous control and lane detection.
• Designed multi-layer PCBs to manage power distribution and communication.
• Developed microcontroller firmware in C and a lane detection algorithm in Python to interface with the Jetson Nano and other modules.

Processor Prototyping

Purdue University

Aug 2024 - Dec 2024

• Designed and prototyped a pipelined processor with cache and multicore architectures using SystemVerilog.
• Implemented multicore and cache logic, including a bus controller state machine.
• Demonstrated improved performance for a dual-threaded program on the multicore design.

Paris 2024 Central Planning Tool

The Data Mine, Purdue University

Aug 2022 - May 2023

• Partnered with the Ray Ewry Sports Engineering Center to develop a central planning tool for the International Olympic Committee.
• Implemented an ETL pipeline to process over 10,000 data entries using Python and SQL.
• Developed a full-stack web application for partners and organizers to view and consolidate data for Paris 2024.

PUBLICATIONS

• Ghosh, S., Chen, Y. H., Huang, C. H., Jameel, A. S. M. M., El Gamal, A., & Labi, S. (2024). Weighted branch aggregation based deep learning model for track detection in autonomous racing. In The Second Tiny Papers Track at ICLR 2024.
• Ghosh, S., Chen, Y. H., Huang, C. H., Jameel, A. S. M. M., Ho, C. C., Gamal, A. E., & Labi, S. (2025). A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing. arXiv preprint arXiv:2502.14068. (Under Review)

CONFERENCE PRESENTATIONS

• Ghosh, S., Chen, Y.H., Huang, C.H., Jameel, A.S.M.M., El Gamal, A., Labi, S. (2024). Weighted branch aggregation based deep learning model for track detection in autonomous racing. Presented at the 12th International Conference on Learning Representations (ICLR 2024), May 7-11, 2024, Vienna, Austria.
• Ghosh, S., Chen, Y. H., Huang, C. H., Ho, C. C., & Labi, S. (2024). Purdue Vertically Integrated Program (VIP) for the Autonomous Motorsports Purdue Club. Presented at Next-Generation Transport Systems Conference (NGTS-4), Sep 2, 2024, West Lafayette, IN. (Poster)

AWARDS AND HONORS

• Electrical and Computer Engineering General Scholarship, Purdue University (2023)
• Dean’s List, Purdue University (2021-2024)
• Share with the World Award for Vertically Integrated Projects, Purdue University (2024)

TECHNICAL SKILLS

• ML & Data: PyTorch, NumPy, Pandas, Rasterio, GIS (QGIS)
• Programming: Python, C, Julia, SystemVerilog, JavaScript, MATLAB
• Computer Vision, Deep Learning (CNNs, GANs), Segmentation
• Systems & Hardware: Embedded ML, Jetson Nano, FPGA, RTL Design, ASIC Development
• Languages: English, Mandarin