ACME Center Researchers

Research Scientist

Farshad Firouzi

Dr. Farshad Firouzi is a research scientist and Adjunct Faculty Member at Arizona State University, as well as an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. His academic endeavors are characterized by a strong interdisciplinary approach and collaborative spirit, earning him recognition for significant contributions to AI, Edge AI, Systems for AI, IoT, Trustworthy AI, and Microelectronics. He is actively involved in research proposals and has contributed to a variety of projects targeting the National Science Foundation (NSF), Horizon Europe, and the German Federal Ministry of Education and Research. He has authored over 60 conference and journal papers and is the editor/author of the book “Intelligent Internet of Things: From Device to Fog and Cloud.” He has also served as Associate and Guest Editor for several renowned journals, including the IEEE Internet of Things Journal, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, and various Elsevier journals like Future Generation Computer Systems, Journal of Network and Computer Applications, and Information Systems. Dr. Firouzi has chaired more than ten international IEEE conferences and workshops. He is the founder of several academic initiatives and events, including IEEE COINS, now fully sponsored by IEEE CEDA, IEEE RAS, and IEEE CS. In addition to his academic achievements, Dr. Firouzi has over eight years of industrial experience, working in Germany, Belgium, and the United States, primarily in the field of R&D. Beyond his academic and industrial roles, Dr. Firouzi is committed to community advocacy. He has organized several panels on Diversity and Inclusion for IEEE and founded a non-profit organization aimed at promoting STEM fields. Through international events and diversity panels, he actively works to create awareness and opportunities for female, non-binary, underserved, and minority researchers.

Postdoctoral Researchers

Arun Sankar

My research at ASU is centered on the development of secure and reliable cyber-physical digital microfluidic biochips and the design of biochips made of microelectrode dotted arrays. In pursuit of these objectives, I investigate potential vulnerabilities in Digital Microfluidic Biochips (DMFBs) and propose defensive strategies. Prior to joining ASU, my postdoctoral work at Columbia University focused on agent-based models for social segregation and pharmaceutical supply chains. I completed my M Tech and PhD at the Indian Institute of Technology Madras in 2022, with my thesis on the rational design of functional microfluidic networks.

My overarching research interests are rooted in the modeling and optimization of various systems. I am enthusiastic about collaborative opportunities, and those interested are encouraged to reach out to me at arun.sankar@asu.edu.

Hwisoo So

I received a Ph.D. in computer science from Yonsei University, and I’m now visiting Arizona State University as a visiting scholar. My Ph.D. dissertation discusses the software-level instruction replication solutions to provide redundancy against hardware faults such as soft and hard errors. In addition, my research interests also include vulnerability estimation of architectures based on simulation. Recently I’ve been focusing on reliability solutions against hardware faults on neural network architectures.

Students

Eduardo Ortega

Eduardo Ortega received his B.A./B.S. degrees in Integrated Engineering from the University of San Diego (2020). At the University of San Diego Eduardo completed research from Ohio State University’s SAMMS REU program focusing on topology, presented at an international leadership case study competition for work with his Leadership Studies minor, and volunteered on a large-scale interdisciplinary art installation (Unfolding Humanity). Before starting his Ph.D., Eduardo gained 2 years of work experience at Intel and Insulet working on SSD testing and mobile-device medical system validation/verification methodologies, respectively. Eduardo completed 2 years of his Ph.D. work at Duke University before transferring to Arizona State University (ASU) to join the ASU Center for Semiconductor Microelectronics (ACME). At Duke University, Eduardo was a National Science Foundation Graduate Research Fellow honorable mention, and Sloan Scholar. Now at ASU, Eduardo is a Fulton Fellow of the Ira A. Fulton Schools of Engineering, School of Electrical, Computer, and Energy Engineering. His research thesis focuses on techniques for scalable resilient computing, i.e., memory security, silicon lifecycle management, and anomaly detection for resource-constrained edge devices. Thus far, his research thesis work has been published papers in the proceedings of IEEE ITC 2023 and IEEE TVLSI 2024. In conjunction, Eduardo is interested in the intersection of ethics/governance and AI technological development. Through this effort, Eduardo published a nominated best paper in the proceedings of IEEE CAI 2023 on AI governance and ethics. In addition, Eduardo has completed internships at Synopsys and Intel throughout his tenure as a Ph.D. student.

Jayeeta Chaudhuri

Jayeeta Chaudhuri (Member, IEEE) received the B.E. degree from the Department of Electronics and Telecommunication Engineering, Jadavpur University, India, in 2020. She joined Duke University, North Carolina, USA to pursue the Ph.D. degree in the Department of Electrical and Computer Engineering. In 2023, she received the MS degree from Duke University and transitioned to Arizona State University, Arizona, USA to continue her PhD. Her current research interests include cloud FPGA security, analog IC security, and ML-assisted countermeasures for hardware Trojan detection.

Ashish Reddy Bommana

I am Ashish, currently in my second year of Ph.D. program in Computer Engineering under the supervision of Dr. Krishnendu Chakrabarty. Before joining the ACME Center as a Ph.D. student, I worked in the ACEG group at AMD as a Software Development Engineer. I completed my Bachelor’s degree in Electrical and Communication Engineering at the Indian Institute of Technology Bhubaneswar in 2021. My research interests include Processing In-Memory ML Accelerators, Reliability, and Computer Architecture

Yujian Huang

Yujian Huang is currently the doctorate student under Dr. Daphne Chen’s supervision. His research interests include microelectronics fabrication, new materials, emerging memory, and physic modeling on semiconductor devices. He plays volleyball and badminton when have leisure time.

Dhruv Thapar

Dhruv is a PhD student at ASU Center for Semiconductor Microelectronics (ACME), Arizona State, supervised by Prof. Krish Chakrabarty since 2023. He started his PhD in 2022 at Duke University where he spent a year before transferring to ASU. Prior to this, he completed a Dual Degree (B.Tech + M.Tech) in Signal Processing from the department of Electrical Engineering, IIT Kharagpur in 2020. During his senior years, he conducted his undergrad and graduate research at the SEAL lab, IIT Kharagpur. Before starting his PhD, he also worked as a Research Assistant at COSIC, KU Leuven. His research interests lie in the area of design-for-testability (DfT) and making fault-tolerant designs.

Samatha Janssen

I started my studies at Arizona State University during the Fall 2021 semester, and I am on track to graduate with a BSE in electrical engineering this May of 2024. I intend to pursue another year at ASU to obtain an MS in electrical engineering that will involve a thesis for the continuation of the Structural Built In Self Test of Analog Circuits research. Currently, I am involved within my community by being a Girl Scout Gold Award Mentor where I serve as a resource for younger Girl Scouts pursuing their Gold Award. I also work part-time at a semiconductor engineering company, along with other opportunities such as being a research assistant as well as a teaching assistant.

Nikhil Sagar

I’m Nikhil Sagar Modala, currently pursuing my Master’s thesis. My research interests involve Analog & mixed signal circuit design, Fault simulation/modelling, Design for test, and Built-in-self test methodologies. I’m passionate about exploring innovative solutions in these domains to address real-world challenges and contribute to advancing technology. I also have a keen interest in high-speed SerDes systems and aspire to delve deeper into this field as part of my research journey.

Seckin Demir

H. Seckin Demir holds a B.S. and an M.S. in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey, earned in 2014 and 2017, respectively. Currently, he is a Ph.D. student and a Graduate Research Assistant in the Electrical, Computer, and Energy Engineering (ECEE) Department at Arizona State University. His research focuses on computer vision, image processing, and machine learning fields. He has 6 years of industry experience, over 10 published papers, and 2 patents in his field of study.

Shail Dave

Shail Dave is a final-year Ph.D. candidate at the School of Computing and Augmented Intelligence, Arizona State University. His research techniques and infrastructures enable efficient processing of critical applications like machine learning on hardware accelerators in an agile and sustainable manner. His research is published and referenced in flagship conferences and journals in computing design automation, computer architecture, and embedded systems and invited to premier international conferences and industrial forums. Shail has piloted several projects in national/global competitive programs with academics and industry researchers, including for designing/supporting heterogeneous and AI computing systems. He has received several honors, awards, and fellowships, including Silver Medal at ACM SIGBED Student Research Competition, Outstanding Research and Teaching Assistant Awards, and Doctoral Dissertation Fellowship from Graduate College at ASU. His research has been featured by several media and technical forums, including ASU news, ACM tech news, IEEE HKN, Communications of the ACM news, and insideHPC. He regularly serves in mentorship programs, vision workshops and panels for emerging computing systems research, and as a reviewer and organization/program committee member for the related flagship ACM/IEEE conferences, workshops, and journals

Tasneem Khan Shifa

Tasneem Khan Shifa is pursuing Ph.D. in Electrical Engineering at Arizona State University. She received her Master’s in Electrical Engineering from Texas State University. Also, She completed her Bachelor’s in Electronics and Communication Engineering From Khulna University of Engineering and Technology (KUET) from Bangladesh.

Yuhong Lu

Yuhong Lu received B.S. degree in electrical engineering from Hefei University of Technology, Hefei, Anhui, China, in 2019. He is currently a Ph.D. student from the Department of Electrical Engineering at Arizona State University, Tempe, AZ, USA. He has research focused on a buck or boost converter and high PSRR LDO, collaborating with Qualcomm and Texas Instruments in 2020 and 2023, respectively. His current research interests include mixed-signal analog design and power management IC design.

Gitanjali Mukherjee

Fan Guo

Rakshit Dambe Nayak

Balaji Yadav Battu

Sachin Kalburgi

Adam Awale

Partho Bhoumik

I am a first-year PhD student at Arizona State University. Before joining ASU, I completed my BSc in Engineering from the Bangladesh University of Engineering and Technology (BUET) in 2022. My current research is dedicated to pioneering test solutions for advanced technologies, including 3D heterogeneous and neuromorphic systems as well as silicon photonics. Outside the laboratory, I am passionate about hiking, traveling to new destinations, and playing badminton, activities that provide a perfect balance to my research endeavors.

Other Affiliates

Christopher Keys

Christopher Keys holds a BS in Physics, MSc in Mechanical Engineering, and is finishing up a PhD in Electrical Engineering/Engineering Physics though Duke University. He is currently a Visiting Scholar at ASU working towards a novel cooling method to get pyroelectric research out of the lab and into realizable technology. He has carried out many successful research endeavors for military and space industries. Christopher is the CEO of Renegade Research, a think-tank/research-lab start-up, which, among many other projects, is building a unique plug and play device that incorporates hardware security technology directly into circuits critical and common alike.

Aritra Ray

Aritra Ray is a Ph.D. student in the Department of Electrical and Computer Engineering at Duke University, US (2021-24). His research focuses on resource orchestration for cloud computing, the Internet of Things, health informatics (deep learning for type-1 diabetes prediction and uncertainty quantification of autoencoders), large language models, and privacy-preserving machine learning. He earned his Bachelor of Technology in Information Technology from the University of Calcutta, India (2017-21) and his Master of Science in Electrical and Computer Engineering from Duke University, US (2021-23).

Jonti Talukdar

Aritra Ray is a Ph.D. student in the Department of Electrical and Computer Engineering at Duke University, US (2021-24). His research focuses on resource orchestration for cloud computing, the Internet of Things, health informatics (deep learning for type-1 diabetes prediction and uncertainty quantification of autoencoders), large language models, and privacy-preserving machine learning. He earned his Bachelor of Technology in Information Technology from the University of Calcutta, India (2017-21) and his Master of Science in Electrical and Computer Engineering from Duke University, US (2021-23).

Adjunct Faculty

Arjun Chaudhuri

Sanmitra Banerjee

Sanmitra Banerjee is a Senior Design-for-X (DFX) Methodology Engineer at NVIDIA Corporation, Santa Clara, CA, and an Adjunct Faculty at Arizona State University. He received the B.Tech. degree from Indian Institute of Technology, Kharagpur, in 2018, and the M.S. and Ph.D. degrees from Duke University, Durham, NC, in 2021 and 2022, respectively. His research interests include machine learning based DFX techniques, and fault modeling and optimization of emerging AI accelerators under process variations and manufacturing defects.