I am a Ph.D. candidate in Computer Science at UC San Diego advised by Dinesh Bharadia and Aaron Schulman. I am a part of Sysnet, CNS and WCSNG research groups. My research involves developing machine learning and signal processsing algorithms to solve different problems in wireless sensing, communication and security. My work is supported by IARPA and the Qualcomm Innovation Fellowship. I have also interned at Qualcomm for two summers, where I developed and implemented deep learning architectures and signal processing algorithms for WiFi sensing. You can download my resume from here.
Before joining UCSD, I got my B.Sc. degree in Electrical Engineering (Communication Systems) from Sharif University of Technology, under the supervision of Mohammad-Ali Maddah-Ali and Babak Khalaj. I worked on probabilistic modeling and designing efficient memory sharing algorithms for Big Data processing systems using information theoretic approaches.
Publications
Practical Obfuscation of BLE Physical-Layer Fingerprints on Mobile Devices
Hadi Givehchian, Nishant Bhaskar, Alexander Redding, Han Zhao, Aaron Schulman, Dinesh Bharadia
2024 IEEE Symposium on Security and Privacy (SP)
Spoofing attack detection in the physical layer with commutative neural networks
Daniel Romero, Peter Gerstoft, Hadi Givehchian, Dinesh Bharadia
Protecting bluetooth user privacy through obfuscation of carrier frequency offset
Ali Nikoofard, Hadi Givehchian, Nishant Bhaskar, Aaron Schulman, Dinesh Bharadia, Patrick P Mercier
2022 IEEE Transactions on Circuits and Systems II
Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices
Hadi Givehchian, Nishant Bhaskar, Eliana Rodriguez Herrera, Héctor Rodrigo López Soto, Christian Dameff, Dinesh Bharadia, Aaron Schulman
2022 IEEE Symposium on Security and Privacy (SP)
Media Coverage: The Register IEEE Spectrum Tom’s Guide India Today
Revealing Hidden IoT Devices through Passive Detection, Fingerprinting, and Localization
Wei Sun, Hadi Givehchian, Dinesh Bharadia
To appear at the 2025 Privacy Enhancing Technologies Symposium
Patents
RF-sensing-based human identification using combined gait and shape recognition
Hadi Givehchian, Xiaoxin Zhang, Peyman Siyari
Generating indoor maps based on radio frequency sensing
Hadi Givehchian, Xiaoxin Zhang, Peyman Siyari
Projects
Smart Radio System for Detection and Characterization of RF Anomalies
Deep Learning Framework for RF Fingerprinting
Practical Obfuscation of BLE Physical-Layer Fingerprints on Mobile Devices
Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices