Systems engineer building secure, controllable, and physically grounded autonomous platforms.
I am a Ph.D. candidate in Electrical and Computer Engineering with a strong foundation in
mechanical design, embedded systems, vehicle dynamics, controls, and autonomous vehicle safety.
I build scalable cyber-physical platforms to study functional safety, cybersecurity, and
real-time system behavior in modern vehicle systems.
My work spans torque vectoring, steer-by-wire systems, wheel speed sensing, ranging sensors,
communication attacks, RTOS-based motor control, hardware-in-the-loop validation, and physical
testbed development. I aim to pursue systems engineering, robotics, and functional safety roles
focused on fail-safe and fail-operational architectures for next-generation electric and
autonomous platforms.
Led the design and experimental validation of vehicular safety and security exploration platforms. Defined system requirements, validation plans, and test architectures for scaled autonomous vehicle systems, steer-by-wire platforms, wheel speed sensor attack testbeds, ranging sensor attack platforms, and mixed-reality vehicle experiments.
Designed and validated electromechanical systems for precision NMR/NQR instrumentation. Translated customer and system requirements into mechanical, thermal, EMI, power, packaging, and validation requirements while supporting prototype development, instrumentation reliability, and system-level integration.
Designed precision electromechanical assemblies for microscopy and laser capture microdissection systems. Supported robotic grippers, precision arms, motion stages, optical packaging, tolerance stack-up analysis, FEA, root-cause analysis, production support, and reliability improvements.
Designed and validated thermally managed, EMI-conscious hardware for lab-developed NMR/NQR spectrometer systems. Supported enclosure design, thermal control, electromagnetic packaging, prototype testing, and instrumentation reliability, reducing test cycle time through improved integration.
A unified scaled vehicle platform for evaluating E/E architectures, autonomy, vehicle dynamics, sensing, communication, safety, and security under nominal, faulted, and adversarial conditions. The platform enables modular experimentation across safety-critical subsystems, including steer-by-wire, torque vectoring, embedded control, vehicle sensing, communication layers, and hardware-in-the-loop validation.
Experimental study analyzing security vulnerabilities in Steer-by-Wire systems. Designed and executed physical-layer encoder attacks demonstrating destabilization risks. The work uses a realistic steer-by-wire test platform to evaluate how physical-domain attacks can impact steering behavior, driver input interpretation, and safety-critical control response.
Published in: 2025 IEEE Intelligent Vehicles Symposium (IV)
Educational and experimental platform for understanding wheel speed sensor vulnerabilities in safety-critical automotive systems. The platform uses a tone wheel, Hall effect sensing, drivetrain control, and an electromagnet-based attacker to explore spoofing and jamming effects on wheel speed measurements and vehicle-level interpretation.
Published in: 2025 IEEE ICCE
Flexible platform for analyzing security vulnerabilities in automotive ranging sensors, enabling evaluation of perception-layer spoofing and jamming scenarios. AutoHal provides a modular attacker and testbed for hands-on exploration of how automotive ranging sensors can be manipulated and how such manipulation affects downstream perception and decision-making.
Published in: 2022 IEEE ICCE
Hands-on exploration platform for communication-layer attacks and their impact on Cooperative Adaptive Cruise Control scenarios. The platform demonstrates how malicious communication behavior can influence cooperative driving applications and provides an interactive environment for exploring vehicular network security concepts.
Published in: 2023 IEEE VTC
Reliability and safety framework for monitoring impending failures in drivetrain, suspension, and steering systems for autonomous vehicle fleets. The framework explores how IoT-based sensing, data collection, and system-level monitoring can support health assessment of dynamic vehicle components and improve reliability for future autonomous fleets.
Published in: 2025 IEEE ICCE
Wearable health monitoring prototype focused on infectious disease detection, hardware integration, PCB development, and validation testing. Contributed to hardware build, PCB design, integration, verification, and prototype testing for a wearable sensing platform designed to support health monitoring applications.
My role: Hardware build · PCB design · Integration · Verification
I am open to research collaborations, internships, and full-time engineering opportunities in systems engineering, robotics, autonomous vehicles, mechatronics, product design, embedded systems, and functional safety.