Team

TRELA brings together students and researchers in electrical engineering, computer engineering and computer science who like to build things, measure them, and ask whether they can be trusted.

Yiorgos Makris Professor · Lab Director · IEEE Fellow UC San Diego

Postdoctoral researchers

Aric Fowler Security and trust in wireless cryptographic ICs Postdoctoral Researcher

Thomas Broadfoot Applications of transistor-level programmable fabrics (TRAP) Ph.D. in Electrical Engineering, UT Dallas

Ph.D. students

Yijie Tang Hardware security modeling in RF ICs Ph.D. student, Electrical Engineering

Pu Huai Applications of analog floating-gate transistors in hardware security and trust Ph.D. student, Electrical Engineering

Christos Vasileiou Large language models for test generation Ph.D. student, Computer Engineering

Matthew Nigh Machine learning in semiconductor manufacturing Ph.D. student, Computer Engineering

Ahmad Sayeed Sayem Self-test and self-calibration in analog/RF ICs Ph.D. student, Electrical Engineering

Nosheen Afroz Trusted and reliable analog neural networks Ph.D. student, Electrical Engineering

Priyanshu Mishra Performance locking in analog ICs Ph.D. student, Electrical Engineering

Lucas Wick Implementation of CVA6 as a hybrid ASIC/TRAP Ph.D. student, Computer Engineering

Apostolos Kontarinis Implementation of a wireless security testbed Ph.D. student, Computer Engineering

Athanasia Karanika New methods for test and verification of TRAP Ph.D. student, Electrical Engineering

Christos Koutoulis PhD Student

M.S. students

Anthony Georgis M.S. Student

Join TRELA

We are looking for motivated Ph.D., M.S. and undergraduate students interested in hardware security, machine learning for chips, and analog/RF design.

Alumni

Our alumni work in research and engineering at Apple, Intel, Google, Samsung, Advantest, NXP and many other companies, and hold faculty positions at universities around the world.

Former postdoctoral researchers

Mohammed Omais Shayan Ph.D. NYU, 2020 Design obfuscation through reconfigurable computing Digital Design Engineer, Codelucida

Mustafa Shihab Ph.D. UT Dallas, 2021 CAD flow and applications of hybrid ASIC/TRAP circuits Member of Technical Staff, Intel

Georgios Volanis Ph.D. UT Dallas, 2020 Robust and trustworthy analog/RF ICs Analog Design Engineer, Argo Semiconductors

Mohammad Mahdi Bidmeshki Ph.D. UT Dallas, 2018 Proof-carrying hardware Security Engineer, Intel

Kiruba Subramani Ph.D. UT Dallas, 2018 Hardware Trojans in wireless networks Systems Engineer, Silicon Labs

Angelos Antonopoulos Ph.D. Technical University of Crete, 2014 Trusted and reliable analog/RF integrated circuits and systems Patent Engineer, u-blox

Ke Huang Ph.D. University of Grenoble, 2011 Machine learning in semiconductor manufacturing Associate Professor, San Diego State University

Ph.D. graduates

Suraag Tellakula UT Dallas Machine learning-based layout reliability analysis

Ching-Yi Chang UT Dallas Semiconductor manufacturing data analytics for provenance attestation

Thomas Broadfoot UT Dallas (co-advised with C. Sechen) Next generation implementation of transistor-level programming fabrics Postdoctoral Researcher, TRELA

Vineeth Niranjan UT Dallas Applications of machine learning in low-cost IC trimming Member of Technical Staff, Qorvo

Deepika Neethirajan UT Dallas Applications of machine learning in semiconductor manufacturing Member of Technical Staff, NXP

Apurva Jain UT Dallas (co-advised with C. Sechen) Testing and verification challenges in a transistor-level programmable fabric Member of Technical Staff, Intel

Shiva Shankar Thiagarajan UT Dallas Reliability-aware optimization of integrated circuits Member of Technical Staff, Apple

Xiangyu Xu UT Dallas (co-advised with C. Sechen) Custom routing methods for transistor-level programmable fabrics Member of Technical Staff, Intel

Yunjie Zhang UT Dallas Hardware-based malware detection in modern microprocessors Member of Technical Staff, Google

Mustafa Shihab UT Dallas, 2021 Intellectual property protection through transistor-level programming Member of Technical Staff, Intel

Yichuan Lu UT Dallas Post-production performance calibration in analog/RF devices Member of Technical Staff, Advantest

Georgios Volanis UT Dallas, 2020 On-chip intelligence for robust and trustworthy analog/RF ICs Analog Design Engineer, Argo Semiconductors

Gaurav Rajavendra Reddy UT Dallas, 2020 (David Daniel Thesis Award) Machine learning-based hotspot detection: fallacies, pitfalls and marching orders Member of Technical Staff, Intel

Jingxiang (Amelie) Tian UT Dallas, 2019 (co-advised with C. Sechen) A transistor-level dynamically reconfigurable integrated circuit block CPU Design Engineer, Apple

Monir Zaman UT Dallas, 2019 Cross-layer power conditioning in multi-core mixed-signal SoCs Member of Technical Staff, Raytheon

Constantinos Xanthopoulos UT Dallas, 2019 Spatial correlation extraction and decomposition in semiconductor data Member of Technical Staff, Advantest

Liwei Zhou UT Dallas, 2018 Microprocessor workload execution forensics Member of Technical Staff, ASML

Mohammad Mahdi Bidmeshki UT Dallas, 2018 Proof-carrying hardware Security Engineer, Intel

Kiruba Subramani UT Dallas, 2018 Hardware Trojans in wireless networks Systems Engineer, Silicon Labs

Ali Ahmadi UT Dallas, 2017 Machine learning in test cost reduction, yield estimation and fab-of-origin attestation Member of Technical Staff, GlobalFoundries

Yu Liu UT Dallas, 2017 Hardware Trojans in wireless cryptographic ICs Research Staff Member, Samsung Research

Dzmitry Maliuk Yale, 2013 Neural network design and implementation for analog/RF BIST Researcher, Quant Labs

Yier Jin Yale, 2012 Hardware Trojans in wireless cryptographic ICs Associate Professor, University of Florida

Nathan Kupp Yale, 2012 (IEEE TTTC E.J. McCluskey Best Doctoral Thesis Award) Statistical methods for RF-to-DC correlation in analog/RF circuit testing Lead Data Scientist, Thumbtack

Michail Maniatakos Yale, 2012 Workload-cognizant resilience analysis in modern microprocessors Assistant Professor, NYU Abu Dhabi

Naghmeh Karimi Visiting researcher at Yale, 2007 to 2009 RTL concurrent error detection in microprocessor controllers Assistant Professor, University of Maryland Baltimore County

Feng Shi Yale, 2007 Fault simulation and test generation strategies for asynchronous circuits RF Circuit Designer, Marvell Semiconductor

Sobeeh Almukhaizim Yale, 2007 Optimization frameworks for designing reliable circuits Director, National Center for Education Development, Kuwait

Haralampos Stratigopoulos Yale, 2006 A machine-learning approach to analog/RF circuit testing CNRS Researcher, LIP6

M.S. graduates

Justin Russo UT Dallas, 2022 RISC-V implementation on a hybrid TRAP/FPGA platform Project Engineer, Ford

Christiana Kapatsori UT Dallas, 2020 Hardware security of analog/RF ICs Hardware Design Engineer, STMicroelectronics

Justin McMillan UT Dallas, 2020 Security and trust in wireless ICs Member of Technical Staff, ARiA

Bharath Ramanidharan UT Dallas, 2019 Custom routing solutions for TRAP Member of Technical Staff, Apple

Christopher Rhynes UT Dallas, 2018 Hardware security and trust in analog/RF ICs Software Engineer, Lintec

Tianyu Chen UT Dallas, 2015 OpenSPARC emulation on an FPGA for forensics analysis Test Engineer, Foxconn

He (Bryan) Huang Yale, 2009 Self-healing analog/RF circuits Analog/RF Design Engineer, Broadcom

Thomas Verdel Yale, 2002 Concurrent error detection in asynchronous circuits Quantitative Equity Portfolio Manager, Cavanal Hill

Undergraduate researchers

Richard Willis B.S. UT Dallas, 2020 Machine learning-based gesture recognition in THz imagers Analyst, Citibank

Isaac Urcuyo B.S. UT Dallas, 2018 FEC-based hardware Trojan design and demonstration FPGA Design Engineer, Raytheon

Usuma Thet B.S. UT Dallas, 2017 Architectural state visualization of emulated OpenSPARC T1

Themis Melissaris Visiting researcher from NTUA, 2014 FPGA-based multi-core experimentation platform Ph.D. Student, Princeton University