Curriculum Vitae
Education
PhD in Electrical & Computer Engineering
Expected 2028
University of Massachusetts Amherst • Amherst, MA
Teaching Assistant: ECE 304 (Junior Design Project), ECE 361 (Fundamentals of Electrical Engineering)
BE in Electrical Engineering & Minor in Computer Science
Graduated 2023
National University of Sciences and Technology •
Capstone: Logic-Locking Security Evaluation - End-to-end pipeline for security-cost tradeoffs of hardware obfuscation on RISC-V designs.
Funded Project: Multi-Agent Aerial Swarm - Grant-funded research on event-driven, low-latency control for multi-UAV swarms.
Experience
Graduate Research Assistant
September 2023 - Present
Khwarizmi Lab, University of Massachusetts Amherst • Amherst, MA
- Built a verification framework to analyze quantum key distribution (QKD) protocols; identified four new vulnerabilities arising from quantum-classical interactions
- Applied formal analysis to U.S. ACH banking systems to uncover security vulnerabilities in the access control and authorization of ACH direct payments
Undergraduate Research Assistant
September 2022 - July 2023
Communication Systems and Networks Lab, NUST •
- Collaborated in the design and implementation of an event-driven coordination protocol for multi-agent aerial swarms on Raspberry Pi companion computers with Pixhawk/ArduPilot flight controllers
- Designed and optimized leader-follower formation control (flock, line, helical) with dynamic reconfiguration, achieving under 2 min formation-switching latency
- Engineered a mesh networking stack (IEEE 802.11, UDP/TCP, MAVLink) to enable fault-tolerant communication for control coordination in real-time (under 100 ms latency)
Hardware Security Intern
June 2022 - September 2022
IC Design Lab, NUST •
- Led the design of ENIGMA, a Python framework that automatically inserts logic-locking defenses into hardware designs, protecting IP designs from unauthorized use and reverse engineering
- Designed a parametrized key-insertion system (64-256 bits) with user-defined cell libraries to analyze the impact of logic obfuscation on a chip's area, delay, and power
Machine Learning Intern
June 2021 - September 2021
TUKL Deep Learning Lab, NUST •
- Implemented an automated pipeline to extract, structure, and preprocess raw court documents
- Fine-tuned Transformer-based models for court-case outcome prediction achieving 83% accuracy
Skills
Programming Languages
Generative AI/ML
Formal Methods
DevOps & Cloud
Awards & Honors
Rector's Gold Medal
2023
Awarded for best senior project, National University of Sciences & Technology
2nd Place, CSAW'22 Logic Locking Competition
2022
Global security hackathon competition, NYU School of Engineering