Find Academic Supervisors

Sung-Kyu Lim is a Professor and the Motorola Solutions Foundation Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he serves as director of the GTCAD Laboratory. His educational background includes: B.S. in Computer Science from the University of California, Los Angeles (UCLA) in 1994 M.S. in Computer Science from UCLA in 1997 Ph.D. in Computer Science from UCLA in 2000 Professor Lim's research focuses on advancing VLSI design automation through physical design methodologies, 3D circuit integration, quantum circuit layout, micro-architecture exploration, and reconfigurable circuit optimization. His work bridges theoretical graph theory with practical electronic design automation challenges to improve circuit performance and scalability. His notable scientific distinctions include: NSF CAREER Award (2006) Advisory Board Member of ACM SIGDA (since 2003) Technical Program Committee roles for ICCD, ISPD, ISCAS, ASPDAC, and GLSVLSI conferences He leads the GTCAD Laboratory at Georgia Tech, driving innovation in computer-aided design tools for next-generation integrated circuits and systems.

• Physical design automation for VLSI circuits
• 3D circuit/packaging layout automation
• Quantum circuit layout automation
• +3 more

Jason Cong is the Volgenau Chair for Engineering Excellence and Distinguished Chancellor's Professor in the Computer Science Department at UCLA's Samueli School of Engineering. He directs the Center for Domain-Specific Computing (CDSC) and the VLSI Architecture, Synthesis, and Technology (VAST) Laboratory, and serves as Associate Vice Provost for Internationalization and Co-Director of UCLA/PKU Student and Scholar Program. Dr. Cong's research spans electronic design automation, customizable computing for machine learning and big-data applications, quantum computing, and highly scalable algorithms. His work has produced over 500 publications with more than 41,000 citations and an H-index of 106. His recent work focuses on quantum computing compilation, domain-specific acceleration for AI workloads, and high-level synthesis optimization techniques that leverage machine learning. His publication trend shows a strong emphasis on quantum computing and machine learning acceleration in recent years, with numerous papers on quantum layout synthesis, LLM acceleration, and high-performance FPGA implementations. His team has developed frameworks like TAPA for task-parallel dataflow programming and RapidStream for automated parallel implementation of FPGA designs. Member of National Academy of Engineering (2017) IEEE Robert N. Noyce Medal recipient (2022) Phil Kaufman Award recipient (2024) ACM Chuck Thacker Breakthrough Award recipient (2024) 18 Best Paper Awards across major conferences Multiple 10-Year Retrospective Most Influential Paper Awards Dr. Cong has graduated 50 PhD students, many of whom are now faculty at major research universities or hold key positions at leading tech companies. He has led over 100 research projects funded by DARPA, NSF, SRC, and industry sponsors. His entrepreneurial activities include founding three successful companies (Aplus Design Technologies, AutoESL, and Falcon Computing Solutions), all acquired by major EDA players. His VAST Laboratory continues to push boundaries in domain-specific computing, with active research in quantum computing, AI acceleration, and high-performance FPGA implementations.

• Electronic Design Automation
• VLSI CAD
• FPGA Synthesis
• +6 more

Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.

• Computer Architecture
• Quantum Computing
• Distributed Systems
• +7 more

Paul Franzon is the Cirrus Logic Distinguished Professor and Associate Department Head for Graduate Affairs at the Department of Electrical and Computer Engineering, North Carolina State University. He holds a PhD and Bachelor's in Electrical Engineering and a Bachelor's in Physics/Mathematics from the University of Adelaide, Australia. His research focuses on quantum information science, machine learning-driven hardware design, 3D integration, and high-speed systems. Education: PhD in Electrical Engineering, University of Adelaide (1988) Bachelor's in Electrical Engineering, University of Adelaide (1984) Bachelor's in Physics and Mathematics, University of Adelaide (1982) Research Interests: Quantum computing and algorithm optimization AI-driven design automation for 3D integrated circuits High-speed communication systems Hardware security and FPGA acceleration Awards & Honors: IEEE Fellow (2006) Alcoa Foundation Distinguished Engineering Research Award (2005) NC State Alumni Distinguished Undergraduate Professor Award (2003) NSW Australia Expatriate Scientist Award (2003) Advising & Grants: Advised PhD student Priyank Kashyap (2023 graduate) Recipient of NSF Young Investigators Award (1993) Labs & Collaborations: Center for Advanced Electronics Through Machine Learning (CAEML) IEEE EPS Society (Associate Editor)

• Quantum Information Science
• Machine Learning & AI Hardware
• 3D Integration
• +4 more

Jiaqi Gu is an Assistant Professor at the School of Electrical, Computer and Energy Engineering at Arizona State University. His work bridges photonics, quantum computing, and machine learning to develop next-generation hardware for efficient computing. PhD in Electrical and Computer Engineering, University of Texas at Austin (2023) His research focuses on emerging hardware design (photonics, post-CMOS electronics, quantum), hardware-algorithm co-design , AI/ML algorithms , and electronic-photonic design automation . He explores how photonic and quantum systems can be optimized for AI workloads, with recent work on differentiable photonic simulation, compact optical neurons, and quantum component placement tools. His publications include 20+ papers in 2025 on topics like photonic tensor cores, optical neural networks, and quantum-aware design. Key trends: integrating machine learning with photonic device simulation, optimizing photonic circuits for adversarial robustness, and advancing quantum computer compilation. Scientific awards include: Best Paper at ASP-DAC 2020 Best Poster at NSF Workshop on Machine Learning Hardware 2020 Margarida Jacome Dissertation Prize 2023 Outstanding Dissertation Award 2024 Dr. Gu advises students through EEE 490/590/790 courses and leads the ScopeX research group , which develops tools for photonic and quantum hardware design.

• Photonics
• Quantum Computing
• Artificial Intelligence
• +6 more

Sara Achour is an Assistant Professor jointly appointed to the Computer Science and Electrical Engineering departments at Stanford University. She earned her PhD in Computer Science from MIT in 2021. Her research develops programming languages, compilers, and runtime systems for emerging analog computing platforms. Dr. Achour leads research in hardware-aware optimization frameworks and novel analog compute paradigms, with applications spanning quantum computing, IoT devices, and neuromorphic systems. Her research focuses on: Bridging software abstractions with unconventional hardware capabilities Energy-efficient computing paradigms for edge devices Cross-layer optimization of analog and hybrid computing systems Publication analysis reveals consistent themes in analog computing architectures, hardware-aware optimizations, and emerging computing platforms. Recent work explores quantum compilation techniques, hyperdimensional computing optimizations, and hardware security metrics. Dr. Achour advises multiple graduate students including: 16 doctoral candidates across computer architecture and quantum computing 10 master's students in software-hardware co-design She maintains active research collaborations through the Stanford SystemX Alliance.

• Programming Languages
• Compilers
• Runtime Systems
• +2 more

Priyank Kalla is a Professor at the University of Utah in the Department of Electrical and Computer Engineering. His research focuses on formal verification , arithmetic datapath optimization , and Silicon Photonics . PhD from University of Massachusetts at Amherst (2002) MS from University of Massachusetts at Amherst (1998) B.E. from Birla Vishvakarma Mahavidyala (1993) His research integrates computer algebra and algebraic geometry with design automation for verifying complex digital circuits. Recent work includes thermal-aware synthesis of photonic components and formal verification of post-quantum cryptographic implementations. Publications span IEEE Transactions on CAD , VLSI-SoC , and SAT conferences , with 2025 publications on Boolean function analysis and photonic test-point selection . His ACM TODAES 2007 paper on finite ring algebra optimization received the best paper award. Awards include: Outstanding Presentation Award at ETS 2025 Best Paper at VDAT 2024 Honourable Mention at ITC India 2022 Teaching includes ECE/CS 5745/6745 on Hardware Verification and ECE/CS 3700 on Digital System Design. His research group has secured multiple NSF grants (2005-2019) and University of Utah SEED grants.

• Formal Verification
• Computer Algebra
• Algebraic Geometry
• +6 more

Ruchir Puri is Chief Scientist at IBM Research, an IBM Fellow, and Vice President of IBM's Technical Community. He holds adjunct professor roles at Columbia University and was a visiting scientist at Stanford University. His expertise spans AI, quantum computing, and semiconductor technologies. He led IBM Watson as CTO and Chief Architect (2016-2019) and has authored over 120 papers and holds 70+ patents. Education: Recipient of the Distinguished Alumnus Award from IIT Kanpur. His research focuses on AI-driven systems, code intelligence, and hardware acceleration. Notable contributions include the CodeNet dataset and Granite code models. Awards include IEEE Fellow status and the 2014 Asian American Engineer of the Year. Publications emphasize AI applications in quantum computing, code generation, and analog hardware. His work bridges theoretical research with practical implementations in enterprise systems. Grants and projects include leadership in IBM's AI and research divisions, with a focus on scalable AI solutions and hybrid cloud architectures. Key Labs/Teams: IBM Research - Yorktown Heights Current Roles: IBM Fellow, Corporate Technology Lead

• Artificial Intelligence
• Machine Learning
• Quantum Computing
• +3 more

Vladimir Stojanović is an Adjunct Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on integrated electronic-photonic systems-on-chip, emerging technologies, and VLSI design. He has held positions at MIT (2005–2013) and Rambus, Inc. (2001–2004). Stojanović leads research initiatives in the Berkeley Deep Drive (BDD), Berkeley Emerging Technologies Research (BETR), and Center for Energy Efficient Electronics Science (E3S). Education: Ph.D. (2005, Stanford), M.S. (2000, Stanford), and Dipl. Ing. (1998, University of Belgrade). Awards include the IEEE Fellow (2024), NSF CAREER Award (2009), and multiple best-paper recognitions. He co-founded Ayar Labs, Numericcal, and MaxLinear (formerly NanoSemi). Key research areas include silicon photonics integration, nanoelectromechanical systems (NEMS), and energy-efficient computing architectures. His work spans optical interconnects, quantum photonics, and biomedical sensors, with emphasis on co-design of electronics and photonics in advanced CMOS processes.

• Integrated Circuits
• Micro/Nano Electro Mechanical Systems (MEMS)
• Computer Architecture & Engineering
• +4 more