Principal Investigator
Dr. Kanad Basu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas, where he is leading Trustworthy and Intelligent Embedded System (TIES) Research Lab. Dr. Basu received his Ph.D. from the department of Computer and Information Science and Engineering, University of Florida. His thesis was focused on improving signal observability for post-silicon validation. During his PhD days, he interned at Intel. Post-PhD, Dr. Basu worked in various semiconductor companies like IBM and Synopsys. Prior to this, he was an Assistant Research Professor at the Electrical and Computer Engineering Department of NYU. He has authored 2 US patents, 2 book chapters and several peer reviewed journal and conference articles. He was awarded the “Best Paper Award” at the International Conference on VLSI Design 2011.
Current PhD Students
Shamik Kundu (2019 – Present)
Shamik Kundu is a final year Ph.D. student in the Department of Electrical and Computer Engineering, University of Texas at Dallas. His thesis focuses on designing safe, secure and robust Deep Learning hardware accelerators for edge AI applications. During his Ph.D., he interned at the Advanced Architecture Research Group at Intel Corporation, Santa Clara, CA, USA. He holds two U.S. patents, and authored several peer-reviewed journal and conference articles. Shamik received the prestigious “Beecherl Fellowship” for two consecutive academic years 2022-2023 and 2023-2024 at UT Dallas.
Research Area: Functional Safety
Publications: IOLTS 2020, ISVLSI 2020, IEEE TCAD 2021, IEEE TVLSI 2021, ISQED 2021 (2 publications), ACS Nano 2021, DAC 2021, IEEE TCAD 2021, VTS 2021, IEEE TCAD 2022, VTS 2022, ISVLSI 2022, TECHCON 2022, DCAS 2022, ISLPED 2022, ITC 2022 (2 papers), IEEE D&T 2022, IOLTS 2022, IEEE TCAD 2022 (2 publications), ACS Applied Nano Materials 2022, GoMacTech 2023, IEEE TC 2023, Techcon 2023, IEEE ISVLSI 2023, IEEE MWSCAS 2023, IEEE TCAD 2023, IEEE HOST 2024 (2 papers).
Chao Lu (2021 – Present)
Chao Lu (Fall 2021) is a doctoral student in the department of Electrical and Computer Engineering at the University of Texas Dallas as part of the Trustworthy and Intelligent Embedded System (TIES) lab. He received his Master of Electrical and Computer Engineering from McNeese State University in 2021. His research interest is in Quantum EDA tool design and improvement. His research has been published in Design, Automation and Test in Europe Conference (DATE), ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), etc.
Research Area: Quantum Computing
Publications: DCAS 2022, ISLPED 2022, ICCD 2022, GoMACTECH 2023, DATE 2023, GLSVLSI 2023.
Amisha Srivastava (2022 – Present)
Amisha Srivastava is a Ph.D. student in the Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA. She received her Bachelors degree in Electrical Engineering and Computer Science from Indian Institute of Science Education and Research, Bhopal (IISERB) in 2022. Her research is centered around the field of hardware security, hardware verification, analyzing side-channel attacks and ensuring the robustness of computer systems against vulnerabilities. She is dedicated to promoting diversity and inclusivity in the STEM community through active participation in UTD’s Young Women in Science and Engineering (YWISE) program since 2023.
Research Area: Hardware Security
Publications: GoMACTECH 2023, GLSVLSI 2023, ISVLSI 2023, VLSID 2024.
Sanjay Das (2022 – Present)
Sanjay Das is a doctoral student in the department of Electrical and Computer Engineering at the University of Texas, Dallas. He received his Bachelors in Electrical Engineering from RCC Institute of Technology in 2019. He received his Master’s in Electrical and Computer Engineering from North Dakota State University. His Master’s thesis delved into the exploration of Ferro-electric transistor applications. His current research interests include investigating functional safety of deep learning systems and security.
Research Area: Functional Safety
Publications: MWSCAS 2023, ITC 2023.
Navnil Choudhury (2022 – Present)
Navnil Choudhury is a Ph.D. student in the Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA. He received his Bachelors in Electronics and Instrumentation Engineering from Jadavpur University, Kolkata, in 2020. His current research interests include investigation of noisy quantum computers, quantum error correction, quantum machine learning, and applications of quantum computers to provide innovative solutions to prevalent problems.
Research Area: Quantum Computing
Publications: GLSVLSI 2023, HOST 2024.
Samit Shahnawaz Miftah (2022 – Present)
Samit Shahnawaz Miftah is a Ph.D. student in the Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA. He received his Bachelor of Science in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 2019. His current research interests include Hardware Security, Design Verification, Hardware Design Debugging, CAD tools.
Research Area: Hardware Security
Publications: HOST 2024.
Anand Menon (Starting Spring 2024)
Anand Menon is a doctoral student and distinguished McDermot fellow within the Department of Electrical and Computer Engineering at the University of Texas, Dallas. Having earned his Bachelor of Science in Computer Engineering from the University of Texas, Dallas in 2023, Anand’s research focus encompasses cutting-edge areas such as Hardware Security, Deep Learning, and Functional Safety, showcasing his passion for advancing the frontiers of knowledge in these fields.
Research Area: Functional Safety
Publications: ISVLSI 2023.
Alumni
Abraham Peedikayil Kuruvila
Abraham Peedikayil Kuruvila received his PhD from the department of Electrical and Computer Engineering at the University of Texas at Dallas 2021. His research was focused on Hardware-based Malware Detection for Securing Embedded Systems. During his PhD days, Abraham interned at Samsung Electronics America working on automating 5G network architectural processes. He has authored over 15 peer reviewed journal and conference papers accepted at various prestigious establishments including HOST, DAC, and TECS. Currently, Abraham is working full time at Samsung as a 5G Radio Access Network System Structure Engineer supporting R&D feature testing on latest device chipsets.
Research Area: Hardware-based Malware Detector, Post-Quantum Cryptography
Publications: ISVLSI 2020, ICCD 2020, IEEE TCAD 2021, PAINE 2020, DATE 2021, DAC 2021, Elsevier JEPE 2021, ACM JETC 2021 (CODES+ISSS 2021), IEEE TCAS II 2021, IEEE HOST 2021, IEEE TCAD 2022, Frontiers in Sustainable Food Systems Journal, 2022, ISLPED 2022, Elsevier Energy Reports 2022.
First Position: Samsung, Plano, TX
Ayush Arunachalam
Ayush Arunachalam completed his PhD program in Computer Engineering at The University of Texas at Dallas in September 2023. His PhD journey began when he joined the Trustworthy and Intelligent Embedded Systems (TIES) research group in August 2020. Prior to this, in May 2020, he earned an MS in Electrical Engineering from the same institution. His primary research interests include functional safety and artificial intelligence, and he has published papers in related domains in prestigious journals and conferences. His doctoral dissertation focused on AI and Hardware synergy, with the goal of (i) developing low-latency AI frameworks to ensure the reliability and functional safety of automotive hardware and (ii) facilitating low-power deployment of AI workloads in resource-constrained hardware. He is currently employed as a Functional Safety Architect at NXP Semiconductors, where he is contributing towards the advancement of the automotive functional safety domain.
Research Area: Functional Safety
Publications: PAINE 2020, ISQED 2021, TMS Annual Meeting 2022, JVSTA 2021, JVSTA 2022, AAAI 2022, TECHCON 2022, DCAS 2022, ITC 2022, IEEE TCAD 2022, GoMacTech 2023, GLSVLSI 2023, Techcon 2023, ITC 2023, JVSTA 2023.
First Position: NXP Semiconductors, Austin, TX
Xingyu Meng
Xingyu Meng completed his PhD in the department of Electrical and Computer Engineering at the University of Texas at Dallas as part of the Trustworthy and Intelligent Embedded System (TIES) lab. He received his BE degree in Electronics Science and Technology from Nankai University in 2015, and he received his MS degree in System Engineering from University of Texas, Dallas in 2019. His research interests include hardware and system security, Trojan detection and hardware verification. His research has been published in Design Automation Conference (DAC), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), IEEE International Symposium on Circuits and Systems (ISCAS), etc.
Research Area: Hardware Security
Publications: ISQED 2021, ISCAS 2021, DAC 2021, IEEE TCAD 2021, IEEE JETCAS 2021, IEEE TCAD 2022, GLSVLSI 2022, IEEE TCAD 2022, GoMacTech 2023, IEEE TCAD 2023.
Graduate Researchers
- Mr. Felix Perez, (Spring 2022)
Research Area: Quantum Computing - Ms. Srividya Gopala Reddy, (Spring 2022)
Research Area: Functional Safety - Ms. Monikka Rajan, (Spring 2022)
Research Area: Functional Safety - Ms. Ramyasree Manjunath, (Fall 2021)
Research Area: Hardware Security - Ms. Supriya Ravichandran, (Fall 2021)
Research Area: Quantum Computing
Publications: ISLPED 2022. - Ms. Aiswarya Lakshmi KP, (Fall 2021)
Research Area: Functional Safety - Ms. Athulya Kizhakkayil, (Fall 2021)
Research Area: Functional Safety - Mr. Guangwei Zhao, (Fall 2020)
Publications: ACS Nano 2021 - Mr. Soumyadeep Chowdhury, (Spring 2020)
Undergraduate Researchers
- Mr. Amartya Soham Sanyal, (Spring 2022)
Research Area: Functional Safety - Mr. Anand Menon, (Spring 2022)
Research Area: Quantum Computing - Mr. Mollik Shafin Rahman, (Spring 2022)
Research Area: Quantum Computing - Mr. Xavier Hernandez, (Spring 2022)
Research Area: Quantum Computing - Ms. Britanny Hernandez, (Fall 2020-Spring 2022)
Research Area: Functional Safety - Mr. Bishal Neupane, (Fall 2021-Spring 2022)
Research Area: Security of Deep Learning architecture - Mr. Rami Mohammed Ismael, (Fall 2021-Spring 2022)
Research Area: Functional Safety - Mr. Anand Menon, /(Fall 2022)/n Research Area: Hardware Security
- Ms. Samiha Sharif, (Summer 2020)
Research Area: Functional Safety - Mr. Yug Pratap Singh, (Summer-Fall 2020)
Research Area: Functional Safety
Publications: DATE 2021 - Ms. Keerthana Yoginathan, (Summer 2020)
Research Area: Hardware-based Malware Detector - Ms. Mythri Challa, (Summer 2020)
Research Area: Hardware-based Malware Detector - Ms. Brittany Hernandez, (Fall 2020)
Research Area: Logic Encryption - Mr. Gabriel Goldstein, (Fall 2020)
Research Area: Mobile App Privacy - Ms. Gabrielle Siobhan Duncan, (Fall 2020)
Research Area: Mobile App Privacy - Mr. Edgard Do Amaral Pinheiro, (Summer-Fall 2021)
Research Area: Power Systems Security - Mr. Jason C Uwaeze, (Fall 2021)
Research Area: Functional Safety - Ms. Priyanka Ganeshan, (Fall 2021)
Research Area: Processor-in-Memory Architecture
High School Students
Through UTD WISE program
- Ms. Brianna Jimenez, (Fall 2020)
- Ms. Vanessa Vasquez, (Fall 2020)
- Mr. Rohan Cherukuru, (Fall 2020)
Research Area: Mobile App Privacy
- Mr. Cameron Trevino, (Fall 2023)
- Mr. Yahir Trejo, (Fall 2023)
- Ms. Ruthie Schmiel, (Fall 2023)
- Ms. Thalia Gonzalez, (Fall 2023)
Research Area: Hacking VR Headsets