Hyunkyung Lim is a Research Assistant Professor at Stony Brook University's Department of Computational Applied Mathematics. Her research focuses on multiphase turbulent mixing of compressible and incompressible fluids, numerical methods for fluid interface tracking, and computational fluid dynamics analysis. She holds a Ph.D. from 2009. Expertise: Turbulent mixing simulations, front-tracking methods, quantum computing algorithms, and biomedical modeling Key Projects: Cybercardia cardiac device modeling, inertial confinement fusion studies, and quantum amplitude estimation Her work bridges computational mathematics with applications in energy systems (fusion research), medical devices, and quantum computing. Recent studies include quantum algorithm implementations on NISQ devices and MRI-based finite element modeling. Publications highlight contributions to both classical fluid dynamics and emerging quantum computing fields. No specific grants or awards are listed in the provided materials.
Dr. Sezer Goren is an Associate Teaching Professor in Electrical and Computer Engineering at the University of Massachusetts Dartmouth. She holds a PhD in Computer Engineering from UC Santa Cruz and BS/MS in Electrical Engineering from Bosphorus University. Her teaching focuses on digital VLSI design, real-time embedded systems, reconfigurable computing, and VLSI verification. Research interests include FPGA-based quantum key distribution, hardware security, deep learning applications, and automated parking systems. Before academia, Dr. Goren worked as a senior verification engineer at technology companies including Apple, Cadence, and SynTest. She previously served as department chair and IEEE Computer Society chapter chair in Turkey. With over 85 publications and supervision of 14 MS/4 PhD students, her work bridges industry experience and academic research in digital systems design.
Khaled Elleithy is the Dean of the College of Engineering, Business & Education, Associate Vice President for Graduate Studies and Research, and Professor of Computer Science and Engineering at the University of Bridgeport. He holds multiple administrative roles in addition to his academic responsibilities. Dr. Elleithy has extensive experience in teaching and research, having developed courses and laboratories in quantum computing, network security, and embedded systems design. He holds a B.Sc. in Computer Science and Automatic Control from Alexandria University (1983), an M.S. in Computer Networks from the same institution (1986), and subsequent M.S. and Ph.D. degrees in Computer Science from the University of Louisiana at Lafayette (1988 and 1990). His research focuses on wireless sensor networks, mobile communications, quantum computing, and formal design verification. He has published over 350 papers and edited 12 Springer books, showcasing his expertise in these areas. Notable research topics include quantum cryptography protocols, energy-efficient robotics algorithms, and assistive technologies for visually impaired individuals. Dr. Elleithy has received prestigious awards such as the 2015 Connecticut Quality Improvement Award (CQIA) Gold Innovation Prize and the 2006-2007 Distinguished Professor of the Year. His students have won over 20 awards from IEEE, ACM, and ASEE for their work in steganography, robotics, and network security. He has secured grants totaling over $2.5 million as Principal Investigator or Co-Investigator, including projects on hybrid projectiles, mobile content management, and enterprise network security. His work often bridges theoretical computer science with practical applications like defense systems and healthcare technologies. Elleithy has established multiple teaching/research laboratories and contributed to the development of hybrid educational conferences like the Annual International Joint Conferences on Computer, Information, and Systems Sciences. He is a Senior Member of the IEEE Computer Society and has held leadership roles in organizing major international conferences since 2005.
Colin Alexander Boyd is Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). With an MSc and PhD in Discrete Mathematics from Eindhoven University of Technology, his career includes faculty positions at Queensland University of Technology and University of Manchester. Research specializes in cryptographic protocols, authentication mechanisms, and key exchange systems. Recent work develops secure outsourcing frameworks for network functions and updatable encryption schemes. Publications demonstrate consistent focus on formal security verification, protocol efficiency, and practical implementations for cloud, blockchain, and voting systems. Authored the comprehensive reference 'Protocols for Authentication and Key Establishment' and maintains active research in post-quantum cryptography. Work bridges theoretical cryptography with real-world security challenges in networked systems.
Panayiotis Frangos is a Professor in the Division of Information Transmission Systems and Material Technology at the School of Electrical and Computer Engineering, National Technical University of Athens. His research focuses on electromagnetic theory, radar systems, signal processing, and wave propagation, with applications in telecommunications and remote sensing. Education highlights: Ph.D., Moore School of Electrical Engineering, University of Pennsylvania, 1986 M.Sc., Moore School of Electrical Engineering, University of Pennsylvania, 1985 Diploma in Electrical Engineering, National Technical University of Athens, 1983 Research interests span radar technology, electromagnetic scattering, signal processing algorithms, and antenna design, with recent work emphasizing: Theoretical and experimental analysis of wave propagation Advanced signal processing for remote sensing Computational solutions for electromagnetic problems Fractal-based environmental characterization techniques Recent publications demonstrate strong trends in electromagnetic wave modeling, radar-based environmental monitoring, and computational ethics for medical devices. Articles frequently integrate theoretical frameworks with experimental validation across electromagnetics, signal processing, and regulatory compliance domains. Dr. Frangos directs the Radar Systems and Remote Sensing Laboratory, conducting research on synthetic aperture radar (SAR), radio coverage modeling, and electromagnetic measurements. The lab actively contributes to international collaborations advancing radar technologies and computational methods.
Rickard Ewetz is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida. His research develops novel computing paradigms including in-memory processing and hardware accelerators for AI applications. Research focuses on: Nanoscale crossbar architectures for energy-efficient computation Robust deep learning hardware resistant to adversarial attacks Formal verification methods for emerging computing systems Quantum circuit synthesis and optimization Honors include multiple Best Paper nominations at premier conferences and the 2024 Research Incentive Award. His group collaborates with industry partners to bridge theoretical innovations with practical hardware implementations.
Runzhou Tao is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). He earned his Ph.D. in Computer Science from Columbia University in 2024 and a Bachelor's degree from the Yao Class at Tsinghua University in 2019. His research focuses on quantum computing, programming languages, operating systems, and formal verification, with notable contributions to quantum compiler verification, distributed protocol analysis, and algorithm design. Education: Ph.D., Computer Science, Columbia University, 2024 B.Eng., Yao Class, Tsinghua University, 2019 Research Interests: At the intersection of quantum computing and software engineering, Tao develops tools for formal verification of quantum compilers and distributed systems. His work emphasizes practical error analysis, automated invariant synthesis, and optimizing quantum algorithms. Current projects include synthesizing recursive quantum unitary programs and verifying multiprocessor hypervisors on Arm hardware. Awards: Jay Lepreau Best Paper Award (DistAI, 2021) Best Paper Award (Edge-Weighted Online Bipartite Matching, 2020) Labs/Teams: Active contributor to the Joint Center for Quantum Information and Computer Science (QuICS). Collaborates with industry partners like IBM (Qiskit compiler verification) and academic teams on formal methods in distributed systems. Leads research initiatives in quantum software engineering and algorithmic optimization.
Hai Wang is a Professor of Mechanical Engineering at Stanford University with a distinguished career in combustion science, high-speed propulsion, and renewable energy conversion. His research spans combustion chemistry of conventional and renewable fuels, detonation dynamics, quantum-chemistry guided battery materials design, and transport theories in nanoparticle systems. Education : Ph.D. in Fuel Science from Pennsylvania State University (1992), M.S. in Chemical Engineering from Michigan Technological University (1986), B.Eng. in Polymer Materials from East China University of Science and Technology (1984). He has authored seminal works on soot formation in flames, catalytic oxidation of methane, and laminar flame speed modeling. His recent publications address interdisciplinary challenges such as eco-anxiety and advanced data plane verification. Notable administrative roles include co-founding Hestia Tec, LLC (2010-2014) and serving as President of the Combustion Institute (2024-present). Wang’s work has been recognized with the Humboldt Senior Research Award (2019), Mercator Fellow (2019), and multiple fellowships. He mentors doctoral and master’s students and leads research initiatives like the Combustion Energy Frontier Research Center (2010-2014).
Michael Lawler is an Adjunct Associate Professor of Physics at Cornell University's College of Arts and Sciences and an Associate Professor of Physics at State University of New York at Binghamton. His research bridges condensed matter physics and quantum information science, with a focus on quantum spin liquids, frustrated magnetic systems, and quantum liquid crystals. Dr. Lawler earned his B.Sc. in Engineering Physics from Queen's University in 1999 and his Ph.D. in Physics from the University of Illinois at Urbana-Champaign in 2006. He completed postdoctoral training at the University of Toronto from 2006-2008 before joining Cornell University as an Adjunct Assistant Professor (2008-2017) and later as an Adjunct Associate Professor (2017-present). Concurrently, he has held positions at SUNY Binghamton, progressing from Assistant Professor (2008-2016) to Associate Professor (2016-present). His research centers on two fundamental problems in condensed matter physics: identifying how quantum spin liquids form in frustrated magnetic insulators and proposing experimental verification methods, and understanding collective phenomena in strongly interacting electron systems. His group employs quantum field theory techniques to study electronic liquid crystal phases with emphasis on quantum criticality and breakdown of the quasiparticle picture. Recent work has expanded into quantum computing applications, exploring how quantum algorithms behave like condensed matter systems and vice versa. Analysis of his publication record reveals a clear evolution from traditional condensed matter theory toward quantum information applications. Early work (2016-2017) focused on frustrated quantum mechanical systems and quantum liquid crystals, while more recent publications (2022-2025) demonstrate a significant shift toward quantum computing, quantum error correction, and machine learning applications in physics. This progression reflects the growing intersection between condensed matter physics and quantum information science. John Bardeen Award for outstanding contributions to electronic materials (2006) Dr. Lawler actively mentors graduate students including Gaurav Gyawali, Jiabao Yang, Po-Wei Lo, and Eric Aspling, who work on topics spanning quantum computing algorithms, frustrated magnets, and relativistic quantum information. His group has secured funding for research at the interface of condensed matter physics and quantum information science, supporting multiple graduate students and postdocs. The Lawler Group maintains active collaborations between Cornell and Binghamton, with undergraduate researchers contributing to projects at both institutions. The Lawler Group operates at both Cornell University and SUNY Binghamton, with physical spaces in Clark Hall at Cornell and the Smart Energy Building at Binghamton. The group maintains an active blog discussing quantum computing, materials science, neural networks, and information theory, reflecting their interdisciplinary approach to modern physics problems.
Andreas Wallraff is a Full Professor in the Department of Physics at ETH Zurich, where he leads cutting-edge research in quantum optics and quantum information processing using superconducting electronic circuits. His work focuses on large-bandwidth microwave techniques at ultra-low temperatures, leveraging ETH's FIRST laboratory clean room facilities for device fabrication. He actively collaborates within the Quantum Systems for Information Technology (QSIT) program and teaches advanced courses such as 'Quantum Science with Superconducting Circuits' (Autumn 2025). Education: Imperial College London and RWTH Aachen (B.Sc. equivalent in Physics, 1994) RWTH Aachen (Diploma in Physics/M.Sc. equivalent, 1997) University of Erlangen-Nuremberg (Ph.D. in Physics, 2000) Wallraff's research centers on quantum-coherent phenomena in superconducting circuits, with emphasis on quantum optics implementations, qubit control, and quantum information processing. His group pioneers experimental techniques for observing quantum effects like energy level quantization and tunneling in macroscopic systems, building on his early work with Josephson vortex oscillators. Current efforts integrate microwave engineering with quantum error correction, multi-qubit architectures, and hybrid quantum systems involving semiconductors and graphene quantum dots. His recent publications reveal a strong trend toward scalable quantum computing solutions, particularly in quantum error correction (surface codes, lattice surgery), multi-module processor integration, and real-time feedback control. Work spans fundamental quantum optics (photon-qubit coupling) to engineering challenges (flux control calibration, leakage reduction), with increasing focus on practical implementations for fault-tolerant systems. Scientific Awards: Nicholas Kurti European Science Prize (2006) for 'decisive and innovative experiments on quantum mechanical effects in superconducting circuits' Wallraff leads an active research group integrated into ETH's QSIT initiative, securing substantial grants for quantum processor development and cryogenic infrastructure. His team maintains collaborations across ETH on semiconductor quantum dots, atomic cavity QED, and single-molecule spectroscopy, while developing novel fabrication techniques like polymer spacer processes for 3D-integrated circuits. Future work targets loophole-free Bell tests, quantum networks, and real-time reinforcement learning for quantum control. The group operates within ETH's Laboratorium für Festkörperphysik (HPF D 9), utilizing advanced cryogenic setups for 100-qubit-scale systems. They maintain close ties with Yale University (where Wallraff was a postdoc) and contribute to international quantum computing roadmaps through publications in high-impact journals.
Dr. Jesse Laeuchli is a Senior Lecturer in the Department of Computer Science and Engineering at UNSW, specializing in Cyber Security, Quantum Computing, and Numerical Linear Algebra. He holds a PhD from the College of William and Mary, where his dissertation focused on matrix function diagonal estimation. His research bridges theoretical foundations (e.g., graph analytics, differential privacy) with practical applications like quantum remote memory attestation and posthumous data management through tools like BeyondLife. He has conducted security reviews for the Australian Government and led projects funded by the Defense Innovation Network and EU's HERMES initiative. Education : PhD in Numerical Linear Algebra, College of William and Mary Research Interests : Quantum Cybersecurity: Developing protocols using quantum entanglement for remote hardware verification Cyber Defense: Specializing in penetration testing and securing IoT systems Data Privacy: Innovating differential privacy techniques for centrality measures and graph analysis Legacy Systems: Creating open-source solutions for posthumous data management Grants & Awards : $528k IoT Security Grant (CSCRC, 2023) $136k Quantum Security Grant (Defense Innovation Network) Cyber Security CRC Award for pandemic contact tracing efforts Advising & Labs : Supervises research in quantum security and data forensics. Collaborates on projects like BeyondLife, an open-source digital will platform.
Thomas Vidick is a Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). As of 2022–2023, he held a visiting position at the Weizmann Institute in Israel. He earned his Ph.D. from the University of California, Berkeley in 2011. His research focuses on quantum information, complexity theory, and cryptography, with a particular emphasis on applying complexity-theoretic tools to quantum computing challenges. Notably, his work resolved Tsirelson's problem and demonstrated that MIP* = RE, a landmark result in computational complexity and operator algebras. Research Interests: Quantum information and its intersections with complexity theory Entanglement in multi-prover interactive proofs and device-independent cryptography Quantum verification, cryptography, and protocols Applications of semidefinite programming and approximation algorithms in quantum contexts Awards and Honors: Simons Investigator (2021) NSF CAREER Award (2015) AFOSR Young Investigator Award (2015) Presidential Early Career Award for Scientists and Engineers (2016) Okawa Research Grant (2014) Teaching and Academic Contributions: Regularly teaches courses such as Analysis and Design of Algorithms (CMS/CS/IDS 139) and Introduction to Cryptography (CS 152) at Caltech. Co-organizes the TCS+ online seminar series and contributed to QIP 2022 as a host. Research activities include collaborations on quantum-proof extractors, certifiable randomness, and cryptographic protocols.
Alexander A. Razborov is the Andrew MacLeish Distinguished Service Professor of Computer Science and Mathematics at the University of Chicago and Adjoint Professor at the Toyota Technological Institute. His primary research focuses on complexity theory, including circuit complexity, proof complexity, quantum computations, and communication complexity. Previously he worked in combinatorial group theory and is actively exploring extremal combinatorics. He leads the Theoretical Computer Science Group, which connects computer science with physics, statistics, and mathematical sciences. His educational contributions include teaching Honors Discrete Mathematics, Mathematics of Quantum Computing, Complexity Theory, and other advanced topics. Razborov has received numerous prestigious awards including the Rolf Nevanlinna Prize (1990), Gödel Prize (2007), and election to the American Academy of Arts & Sciences (2020). He has supervised over 12 PhD and Master's students, with research spanning combinatorial open problems in proof complexity, continuous combinatorics, and communication complexity.
Dr. Jiri Janousek is a postdoctoral research fellow at the Australian National University (ANU) within the ANU College of Systems & Society , specifically contributing to the Quantum Imaging Group . He focuses on advancing quantum states of light in the spatial domain, particularly in generating squeezed and entangled states, optical detection techniques, and optomechanical systems. His work emphasizes novel methods for simultaneous spatial-mode squeezing and control of optical cavities. He earned his PhD in 2008 from the Technical University of Denmark , where he researched nonclassical quantum states for ultra-sensitive measurements and solid-state lasers in the visible spectrum. His expertise spans optical parametric amplifiers, laser systems, and quantum imaging applications in biological contexts. Research interests include quantum optics, optomechanics, and nonlinear optical systems, with emphasis on spatial-mode engineering and precision measurements. His contributions bridge theoretical and experimental quantum technologies, aiming to push the boundaries of quantum sensing and information processing. Notable research areas include Generation of squeezed light in diverse cavity geometries Optomechanical control of thermal states Entanglement distillation protocols Quantum imaging within living cells
Tom Gur is a Professor in the Department of Computer Science and Technology at the University of Cambridge, with research affiliations in the Algorithms and Complexity and Quantum Computing groups. His work bridges theoretical computer science and quantum computation, supported by major grants including the UKRI Future Leaders Fellowship and ERC Starting Grant . Research Focus : Tom Gur's research centers on Quantum Complexity Theory , Sublinear Algorithms , and Coding Theory , with deep connections to mathematical domains like Harmonic Analysis and Additive Combinatorics . His work explores the interplay between classical and quantum computational models, emphasizing Interactive Proofs , Zero-Knowledge Systems , and Quantum Learning Algorithms . Article Trends reveal a focus on quantum advantage, complexity theory, and cryptographic protocols. Key themes include probabilistically checkable proofs , quantum generalization bounds , and sublinear verification systems across venues like STOC, FOCS, and QIP. Scientific Awards : UKRI Future Leaders Fellowship Advising includes supervision of current PhD and Master's students like Hugo Aaronson and Jack O'Connor , while alumni such as Marcel Dall'Agnol (Princeton) and Aditya Jain (PsiQuantum) reflect his mentorship impact. Professional leadership includes organizing STOC workshops and serving on editorial boards for Quantum and SICOMP .
/prod01/production-cdn-pxl/media/umassdartmouth/profiles/engineering/electrical-amp-computer/sezer.jpg)
