Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.
Michael Carbin is an Associate Professor at MIT in the Department of Electrical Engineering and Computer Science (EECS), where he leads the Programming Systems Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research centers on developing programming systems that handle uncertainty through probabilistic programming, quantum computing, and neural networks. Carbin's work spans programming languages, systems, and machine learning, with themes including uncertainty management, efficiency optimization, and formal verification. His publications demonstrate a strong focus on probabilistic inference methods, neural network optimization, and quantum programming frameworks. Awards and Honors: Sloan Research Fellowship (2020) Multiple Best Paper Awards (OOPSLA 2013, 2014; ICLR 2019) NSF CAREER Award (2018) Google Faculty Research Award (2018) As the head of the Programming Systems Group, he advises 10+ graduate students and postdocs, focusing on cutting-edge systems research. He has secured grants including Facebook Research Awards and NSF funding.
Tomonari Furukawa is a Professor and Zinn Faculty Scholar at the University of Virginia, leading the VICTOR Lab. He holds a B.Eng. in Mechanical Engineering from Waseda University (1990), an M.Eng. in Mechatronic Engineering from the University of Sydney (1993), and a Ph.D. in Quantum Engineering and Systems Science from the University of Tokyo (1996). His research focuses on robotics, computational mechanics, autonomous systems, and advanced sensor technologies. He has published over 300 papers, contributed to editorial boards, and secured grants such as the U.S. DOD DURIP grants for advanced research infrastructure. His work spans topics like autonomous robotic mapping, sensor fusion, and real-time deformation measurement for automotive safety. He has developed systems for tire tread profiling, crash deformation analysis, and 3D road surface reconstruction. Furukawa’s methodologies often integrate Bayesian approaches, neural networks, and multi-sensor data fusion to solve complex engineering challenges. His contributions to the NSF I/UCRC Centre for Tire Research highlight his impact on applied mechanics. Recipient of multiple career and paper awards, Furukawa emphasizes translational research. His VICTOR Lab explores cutting-edge robotics, including compliant bipedal designs for disaster response (e.g., DARPA Robotics Challenge) and autonomous navigation systems. Current projects leverage AI and advanced vision systems for infrastructure monitoring and human-robot collaboration.
Prof. Otto Anker Nielsen is a Full Professor and Head of the Transport Modelling Division at the Technical University of Denmark (DTU), within the Department of Technology, Management and Economics. He specializes in transport modelling, with 27 years of expertise across passenger and freight transport, and has led over 55 projects at national and EU levels. His work focuses on route choice models, road pricing, public transport optimization, and sustainable mobility. Education: Ph.D. in Transport Modelling, DTU (1992–1994) M.Sc. in Civil Engineering, DTU (1987–1991) Research Management Education, Copenhagen School of Business (CBS) (2008) Research Interests: His research spans transport modelling methodologies, including dynamic traffic assignment, bicycle route choice, and integrated transport systems. He emphasizes sustainable development goals, electrification, and automation in transport. Recent work includes studies on transit-oriented development (TOD), travel time reliability, and crowdshipping optimization. Grants & Projects: Over the last five years, he has secured €9.5 million in grants, leading projects like Quantra (quantum computing in transport) and IPTOP (public transport optimization). He oversees DTU’s inter-departmental transport center and advises international transport models (e.g., Sweden, Norway). Awards: INFORMS Railway Application Section 2016 Student Paper Award (2016) Member of the Danish Academy of Technical Sciences Advising: Supervised 25 PhD students (14 since 2010), 100+ MSc, and 70+ BSc theses. Active in academic leadership, including editorial roles and international conference committees. Labs/Teams: Leads the Transport Modelling Division at DTU and collaborates with global institutions on projects like the European TransTools model. His team develops tools such as the OTM model and Copenhagen-Ringsted Transport Model.
Domenico Bianculli is an Associate Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), leading research in the Software Verification and Validation Lab. His work focuses on software engineering, particularly runtime verification, log analysis, GDPR compliance, and AI-driven testing methodologies. Recent publications address GDPR compliance for mobile apps, metamorphic testing for cyber-physical systems, and quantum program analysis using large language models. Research demonstrates strong emphasis on practical software quality assurance and regulatory compliance.
Dr. David R. Jacques is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT), part of the Air University. He holds a Ph.D. in Aeronautical Engineering from AFIT (1995), an M.S. in Aeronautical Engineering from AFIT (1989), and a B.S. in Mechanical Engineering from Lehigh University (1983). He also completed the Defense Systems Management College Program Management Course (1999). His research focuses on systems engineering optimization, control systems, unmanned systems, modularity assessment, and cost estimation. He has advised numerous graduate students and collaborators on projects ranging from quantum key distribution systems to plug-and-play satellite modularity and health monitoring technologies. His work emphasizes practical applications in defense and aerospace systems, including improving maintenance strategies and enhancing system reliability through advanced modeling and simulation techniques. Dr. Jacques has been recognized with prestigious awards, including the General Bernard Schriever Award (2016), multiple best-paper awards at systems engineering conferences, and the HQ USAF Science and Engineering Educator of the Year (2003). His contributions span academic publications, military systems innovation, and leadership in educational programs for defense personnel. His advising and grants activities reflect a commitment to advancing systems engineering through interdisciplinary collaboration. His research groups often work on projects with direct operational implications for the U.S. Air Force, emphasizing practical solutions for complex systems challenges.
R. J. Dwayne Miller serves as University Professor in both the Department of Chemistry and Department of Physics at the University of Toronto. He also holds significant international appointments as Co-founding Director of the Max Planck Institute for the Structure and Dynamics of Matter in Hamburg, Germany, and previously directed the Max Planck Group at Centre for Free Electron Laser Science/DESY. His research focuses on understanding molecular reaction dynamics with particular emphasis on the connection between chemistry driving biological functions and the highly optimized structures in biological systems. Miller received his B.Sc. Honours from the University of Manitoba (1974-1978) under Professor Bryan R. Henry, followed by a Ph.D. from Stanford University (1978-1983) with Professor Michael D. Fayer. After a NATO Science Fellowship at Université Joseph Fourier (1983-1984), he began his academic career at the University of Rochester, progressing from Assistant Professor to full Professor before joining the University of Toronto in 1995, where he was promoted to University Professor in 2007. Professor Miller's research spans three interrelated areas: energy transduction in biological systems; interfacial structure and reaction dynamics; and high-order nonlinear laser spectroscopies as probes of liquid and protein 'memory' functions. His group has pioneered the development of ultrabright electron sources that enable direct observation of atomic motions during chemical reactions - creating what they call 'atomic movies.' This groundbreaking work accomplished one of science's dream experiments by bringing the chemist's collective thought experiment of chemistry to direct observation. Their research has challenged established paradigms, particularly in quantum biology where they demonstrated that nature exploits dissipation rather than avoiding it to direct energy transport in photosynthesis. Analysis of Miller's recent publications reveals a consistent progression from fundamental studies of energy transport to practical applications. His group has evolved their electron diffraction techniques to achieve unprecedented spatial and temporal resolution, enabling observation of atomic motions during barrier crossing in catalysis and resolving full enzymatic cycles. A significant trend is their development of serial electron diffraction methods requiring only nanograms of material, which could revolutionize structural biology and chemical synthesis by enabling 'lab on a chip' approaches with orders of magnitude higher throughput. Fellow of the Royal Society (2023) Fellow of the Royal Society of Canada Fellow of the Chemical Institute of Canada Fellow of the Optical Society of America Fellow of the Royal Society of Chemistry European Physical Society Prize for Laser Science A.P. Sloan Fellowship Camille and Henry Dreyfus Fellowship Guggenheim Fellowship Humboldt Award Presidential Young Investigator Rutherford Medal in Chemistry CIC Medal McNeil Medal for Science Promotion Professor Miller has secured substantial funding for his innovative research in ultrafast science, leading to numerous technological breakthroughs. His group has developed the Picosecond Infrared Laser (PIRL) technology, which enables minimally invasive surgery with intact molecular signatures for guidance and scar-free healing. This technology has been successfully applied in stapes surgery for hearing loss recovery and in treatments for glaucoma. His work on six-wave mixing spectroscopy has opened new avenues for investigating intermolecular forces that determine the dynamic structure of liquids and proteins. The Miller Group is housed in the Lash Miller Chemical Laboratories at the University of Toronto, where they maintain state-of-the-art instrumentation they've developed. Their labs include ultrabright electron sources sufficient to 'light up atomic motions' and observe chemistry at the atomic level. The group is working toward establishing the Centre for Atomically Resolved Dynamics to promote collaborative research. They maintain strong international connections, particularly with the Max Planck Institute in Hamburg, reflecting Miller's dual appointments in Canada and Germany.
Ronald de Wolf is a part-time Full Professor at the Institute for Logic, Language and Computation (ILLC), University of Amsterdam, and a researcher/group leader at the Algorithms and Complexity group of CWI (Dutch Centre for Mathematics and Computer Science). He is an active member of QuSoft and the Amsterdam Theoretical Computer Science ecosystem. His PhD was completed at CWI and ILLC, followed by postdoctoral research at UC Berkeley. Research Focus: De Wolf specializes in quantum computing, complexity theory, and algorithm design. His work explores quantum advantages in computation, communication, and learning, with applications in optimization, machine learning, and information theory. Recent investigations include quantum algorithms for linear algebra, error correction, and communication complexity. Publication Trends: His recent articles (2020-2025) predominantly focus on quantum algorithmic advantages, complexity bounds, and practical applications in machine learning and optimization. Key themes include quantum speedups for linear algebra, error-resilient quantum protocols, and theoretical limits of quantum computation. Awards & Honors: ERCIM Cor Baayen Award (2003) STOC Best Paper Award (2012) STOC Test-of-Time Award (2022) Gödel Prize (2023) Academic Leadership: He currently advises PhD student Lynn Engelberts and has graduated 10 doctoral students. As coordinator of the NWO Gravitation program Quantum Software Consortium , he oversees major research initiatives. He secured participation in EU projects (QAIP, RESQ, QAP, QCS, QALGO, QuantAlgo) and leads research teams at CWI and QuSoft.
Patrick Robert Schaumont is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), holding the Joseph Samuel S. Satin Distinguished Fellowship. He specializes in hardware security, cryptographic engineering, and tamper-resistant design. His research focuses on challenges in secure hardware/software codesign, side-channel analysis, and fault injection countermeasures. Education: BS in Electrical Engineering from Ghent University College (1988), MS in Computer Science from University of Ghent (1990), and PhD in Electrical Engineering from UCLA (2004). Research Interests: Schaumont's work spans hardware security topics such as cryptographic implementation security, embedded systems protection, and secure design methodologies. He emphasizes real-world demonstrations and student-driven innovation, with projects like the Vernam Lab at WPI. His research has produced numerous demonstrators and open-source tools, including the SCAPEgoat library for side-channel analysis. Notable Contributions: IEEE Fellow (2025), Dean's Excellence Professor, and Radboud Excellence Program Visiting Professor. He has advised over 50 students, many of whom work at leading tech companies like NVIDIA, Google, and Qualcomm. Labs & Teams: Director of the Vernam Lab, focused on advancing secure hardware and embedded systems research. Collaborates with industry and academia on topics like post-quantum cryptography and fault-resistant designs.
Yang Yuxiang is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science. His research focuses on software security, adversarial machine learning, and AI safety, with a particular emphasis on formal methods and large language models. He holds a PhD from Hong Kong. Research interests include: Automated program repair using LLMs Cybersecurity in open-source ecosystems Adversarial attacks on vision-language models Formal verification of theorem provers Ethical implications of AI systems Recent publications explore cutting-edge topics such as causality-aware safety testing for autonomous systems , smart contract vulnerability detection , and large model safety at scale . His work bridges theoretical foundations with practical applications in secure software development and AI ethics.
Dr. Deirdre Kilbane is the Director of Research at the Walton Institute for Information and Communications Systems Science, Department of Computing and Mathematics, Waterford Institute of Technology (SETU). She is also an Adjunct Lecturer in the School of Physics at University College Dublin (UCD), contributing to academic teaching and research supervision. Her strategic leadership drives innovation in AgriTech, Healthcare, Smart Cities, Energy, and ICT. Education: PhD in Mathematical Physics, Maynooth University (1999–2004) BSc in Experimental Physics, University College Dublin (1995–1999) Her research focuses on nanotechnology, artificial intelligence, quantum physics, and molecular communications , with applications in brain implants for epilepsy, quantum key distribution, and smart agricultural systems. She leverages interdisciplinary approaches to solve real-world challenges in healthcare and communications. Her work aligns with UN Sustainable Development Goals, particularly in health and innovation. The most recent publications highlight a strong trend in quantum communication systems , especially satellite-based QKD, and AI-driven edge solutions for industrial IoT, including dairy processing. There is also significant focus on nanoscale biosensing for neurological conditions, reflecting her involvement in the EU Horizon 2020 PRIME project. These works span quantum engineering, AI, and biomedical applications, indicating a highly interdisciplinary research profile. Scientific Awards and Recognition: Coordinator and Principal Investigator, EU Horizon 2020 FETOpen PRIME project Member, Science Foundation Ireland Research Centres: CONNECT and FutureNeuro Featured among '9 women in deep tech you should be following' (2024) Regular invited speaker on quantum technologies and EuroQCI Dr. Kilbane actively advises PhD students, including Rahul Mhapsekar, and leads major research grants from Horizon Europe and SFI. Her projects often involve cross-institutional and international collaborations, particularly in quantum communication and 6G technologies. She has secured significant funding, including SETU’s largest Horizon Europe drawdown to date. Her leadership extends to public engagement, policy input, and media commentary on emerging technologies. She is a key member of the Walton Institute’s research divisions, which focus on future networks, communications, and intelligent systems. Her team works on cutting-edge projects in quantum communication, AI for IoT, and neurotechnology, often in collaboration with CONNECT and FutureNeuro. The institute serves as a national hub for innovation in ICT and smart systems, with Dr. Kilbane playing a central role in shaping its research direction.
Sandro Sozzo is an Associate Professor of Logic and Philosophy of Science at the University of Udine, where he has been a faculty member since 2022. He previously served as a lecturer (2013) and associate professor (2015) at the University of Leicester, UK. He holds a PhD in Physics from the University of Salento (2006) and completed postdoctoral training at the Free University of Brussels (VUB). His academic affiliations include the Centre for Quantum Social and Cognitive Science (CQSCS), which he founded and directs, and leadership roles in the International Quantum Structures Association (IQSA) and the journal Foundations of Science. His research centers on the logical and epistemological foundations of natural and cognitive sciences, employing analytic philosophy to develop novel theoretical frameworks. He has pioneered a quantum-theoretic approach to modeling human cognition, explaining cognitive fallacies and probabilistic judgment under uncertainty. This work extends to applications in information retrieval and natural language processing, forming the basis of interdisciplinary projects like QUARTZ. The most recent articles reflect a consistent trajectory in quantum cognition, decision theory, and foundational physics. They demonstrate a deep integration of quantum structures into cognitive modeling, with recurring themes in Hilbert space representations, non-classical probability, and conceptual dynamics. His publications span high-impact journals in physics, cognitive science, and philosophy, indicating a strong interdisciplinary footprint. Awards for teaching quality (2016, 2018, 2020, 2022) Member of the Higher Education Academy (HEA) since 2015 Sandro Sozzo has supervised numerous research initiatives and students through the Centre for Quantum Social and Cognitive Science (CQSCS). He was the scientific leader of the Marie Curie Innovative Training Network 'QUARTZ', securing significant international funding. He has also held leadership roles as director for teaching, research, and internationalization. His editorial work as managing editor of Foundations of Science and organizational role in five international conferences further underscore his academic influence. He founded and currently directs the Centre for Quantum Social and Cognitive Science (CQSCS), an interdisciplinary research center focused on the epistemological foundations of natural and cognitive sciences. The center fosters collaborations across physics, philosophy, cognitive science, and computer science, supporting projects like QUARTZ and promoting quantum-inspired approaches to information systems and human reasoning.
Tim Finin is a Professor in the Computer Science and Electrical Engineering department at the University of Maryland, Baltimore County (UMBC), where he serves as Director of the UMBC Center for Artificial Intelligence and holds the Willard and Lillian Hackerman Chair in Engineering. With over 50 years of experience, his research focuses on knowledge graphs, natural language processing, machine learning, and applications to information systems security and social media. Education: Ph.D. in Computer Science from the University of Illinois (1980), M.S. in Computer Science (1977), and S.B. in Electrical Engineering (1971) from MIT Current Roles: Director, UMBC Center for AI; Hackerman Chair; Professor, UMBC Previous Roles: Adjunct Associate Professor at University of Pennsylvania; positions at Unisys, JHU HLT CoE, and MIT AI Lab Research Interests: Dr. Finin's work spans Knowledge graphs and semantic web technologies Natural language processing for cybersecurity Machine learning for data assimilation Privacy and security in distributed systems Social media analysis Quantum computing applications Recent Grant Trends: His funded research includes projects on knowledge graph optimization, AI cybersecurity, semantic manufacturing standards, and quantum machine learning. Grants from DoD, NSF, NIST, and industry partners like IBM and Google demonstrate his interdisciplinary impact. Scientific Honors: ACM Fellow (2018) AAAI Fellow (2013) IEEE Technical Achievement Award (2009) UMBC Presidential Research Professor (2012) Fellow, Foundation for Intelligent Physical Agents (1997) Academic Leadership: Dr. Finin has chaired UMBC's Computer Science department, served on the Computing Research Association board, and held editorial roles including Editor-in-Chief of the Journal of Web Semantics (2005-2016).
V. Arvind is a Professor in the Theoretical Computer Science faculty at the Institute of Mathematical Sciences (IMSc) , Chennai. His research is centered on computational complexity theory, with a focus on structural complexity, randomized and algebraic computation, and quantum information and computation. He explores the deep connections between theoretical computer science and mathematics. Institution: Institute of Mathematical Sciences (IMSc), Chennai School: Theoretical Computer Science Academic Rank: Professor Arvind's research interests include computational complexity, structural complexity theory, algebraic computation, derandomization, and quantum computing. He is particularly interested in the interplay between mathematical structures and computation. His work often bridges theoretical computer science with algebra, combinatorics, and logic. His recent publications, primarily expository articles in the EATCS Bulletin’s Computational Complexity Column, cover a wide range of topics such as robust oracle machines, the Alon-Roichman theorem, noncommutative arithmetic circuits, graph isomorphism, and quantum computation. These works reflect trends in foundational complexity theory, algebraic methods in computation, and the exploration of quantum models. The articles emphasize structural insights, lower bounds, and connections to mathematical disciplines. Professional Service and Editorial Roles: Associate Editor, ACM Transactions on Computation Theory Editor, EATCS Computational Complexity Column (since June 2011) Editorial Board Member, International Journal of Computer Mathematics (2009–2013) Co-organizer, ICM Satellite Conference on Algebraic and Probabilistic Aspects of Combinatorics and Computing Program Committee Member for WALCOM 2014, STACS 2012, COCOON 2009, FSTTCS (multiple years, including chair roles), CCC 2006, INDOCRYPT (2002, 2005), and others Teaching: Arvind has taught advanced courses including Computational Complexity, Algorithms, Algebra and Computation, and Discrete Mathematics, often based on foundational texts and notes from leading experts. Lecture notes from his courses have been compiled by students and collaborators. Collaborations: He has an extensive list of co-authors, including prominent researchers such as Manindra Agrawal, Eric Allender, Johannes Köbler, Meena Mahajan, Jacobo Torán, and Ramprasad Saptharishi, indicating strong collaborative research networks in complexity theory and algorithms.
Patrick Karl is a Researcher at the Chair of Security in Information Technology (Technische Universität München). He holds an M.Sc. degree and focuses on efficient hardware implementations for post-quantum cryptography , particularly hardware acceleration of digital signature algorithms on RISC-V platforms for embedded systems. His work addresses performance optimization, power/energy efficiency, and countermeasures against physical attacks such as side-channel and fault attacks . His research spans both FPGA prototyping and ASIC design , including tape-outs for security applications. He contributed to NIST submissions like CROSS , LESS , and FuLeeca , and has published extensively on topics including lattice-based cryptography, masked accelerators, and hardware API overhead for lightweight cryptography. Patrick has taught Lab Course ASIC Design of Hardware Accelerators for RISC-V since WS22/23 and Lab Course Crypto Implementation in SS22. His publications (15 most recent) highlight trends in post-quantum cryptographic hardware , RISC-V security , and physical attack countermeasures . He has presented at venues like RISC-V Summit Europe, COSADE, and FDTC.
