Find Academic Supervisors

David R. JacquesView profile

Professor

• Systems Engineering
• Optimization Techniques
• Control Systems
• +5 more

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 MillerView profile

Professor

• Physical Chemistry
• Molecular Reaction Dynamics
• Ultrafast Spectroscopy
• +4 more

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 WolfView profile

Professor

• Quantum Computing
• Complexity Theory
• Error-Correcting Codes
• +3 more

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 SchaumontView profile

Professor

• Hardware Security
• Cryptographic Engineering
• Tamper-Resistant Design
• +4 more

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.

• Software Security
• Artificial Intelligence
• Adversarial Machine Learning
• +7 more

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.

Deirdre KilbaneView profile

Academic

• Nanotechnology
• Artificial Intelligence
• Quantum Physics
• +7 more

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 SozzoView profile

Associate Professor

• Logic and Philosophy of Science
• Quantum Foundations
• Cognitive Science
• +12 more

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.

Mikhail J. AtallahView profile

Professor

• Information Security
• Algorithms
• Quantum Computing
• +4 more

Mikhail J. Atallah is a Distinguished Professor of Computer Science at Purdue University, affiliated with the Department of Computer Science under the College of Science. He has been a faculty member since Fall 1982. His research focuses on information security, algorithms, and quantum computing. He holds ACM and IEEE Fellowships and has received prestigious awards such as the 2015 CCS Test of Time Award and the 2017 Arden L. Bement Jr. Award. Education: PhD (1982), MS (1980) in Electrical Engineering and Computer Science from Johns Hopkins University; BE (1975) in Electrical Engineering from the American University in Beirut. Research Interests: Includes cryptographic protocols, secure computation, privacy-preserving techniques, and theoretical foundations of algorithms. He has pioneered work on key management and multi-party computation, with applications in secure data outsourcing and authentication systems. Publications: Over 250 papers, including influential works on secure outsourcing of computations, privacy-preserving data analysis, and cryptographic algorithms. Recent trends highlight advancements in biometric authentication, manufacturing security, and lightweight cryptography. Awards: Test of Time Awards (CCS 2015, ACSAC 2021), Purdue’s highest scientific honor (Bement Award), and multiple industry-recognized accolades. Advising: Mentored over 20 PhD students, many of whom have become prominent in academia and industry (e.g., Michael T. Goodrich, Danny Z. Chen). Labs/Teams: Active in cybersecurity research groups at Purdue, contributing to projects on secure manufacturing, collaborative design, and privacy-enhancing technologies.

Enectali Figueroa-FelicianoView profile

Professor

• Dark Matter Detection
• Neutrino Physics
• Quantum Computing
• +4 more

Enectali Figueroa-Feliciano is a Professor of Physics & Astronomy at Northwestern University, affiliated with the Weinberg College of Arts & Sciences. He leads the Figueroa Lab and collaborates with Fermilab at the NEXUS underground facility. His research focuses on dark matter detection, neutrino physics, and quantum computing using cryogenic detectors. He holds a PhD from Stanford University (2001). Education: PhD in Physics, Stanford University, 2001 Research Interests: His work explores physics beyond the Standard Model through cryogenic detectors operating near absolute zero. Techniques include Transition-Edge Sensors and SQUID electronics for dark matter (SuperCDMS collaboration), neutrino interactions (Ricochet experiment), and quantum computing applications (QUIET/LOUD facilities). Recent projects include the Micro-X rocket for X-ray astronomy and NEXUS for low-background qubit research. Key Contributions: Developed detectors for SuperCDMS SNOLAB, Micro-X rocket payloads, and quantum sensing platforms. Pioneered underground qubit research to mitigate radiation interference. Collaborates with NASA, NIST, and international institutions. Awards: Kavli Frontiers of Science Fellow NSF Faculty Early Career Development Award Advisees & Grants: Mentored over 30 graduate/undergraduate students and postdocs. Leads SuperCDMS SNOLAB integration efforts and collaborates on CUPID neutrino experiments. Active in securing funding for detector development and space-based missions. Labs & Facilities: Directs the Figueroa Lab (Evanston) and NEXUS (Fermilab). Hosts QUIET (underground qubit facility) and LOUD (above-ground quantum research). Engages in public outreach through rocket launches and lab tours.

Leonardo Duenas-OsorioView profile

Professor

• Infrastructure Resilience
• Quantum Computing Applications
• Network Reliability
• +7 more

Leonardo Duenas-Osorio is a Professor of Civil and Environmental Engineering at Rice University, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. from Georgia Institute of Technology (2005) and advanced degrees from MIT and Colombian universities. His research focuses on computational methods for infrastructure resilience, quantum computing applications in engineering, and risk assessment of interdependent systems. Key areas include network reliability, disaster management, and smart grid resilience. He leads the SISRRA research group, collaborating with statisticians, computer scientists, and engineers to address societal challenges. Recognitions include the NSF CAREER Award (2008), IASSAR Early Achievement Award (2017), and the 2020 Society for Risk Analysis Best Paper Award. His work is funded by NSF, DoD, NIST, and city initiatives. Current projects explore quantum algorithms for infrastructure reliability, socio-technical community resilience, and decentralized network restoration strategies. Education: B.S., Universidad de La Salle, 1996 M.S., Universidad de Los Andes, 1998 Professional Masters, Pontificia Universidad Javeriana, 2000 M.Eng., MIT, 2001 Ph.D., Georgia Tech, 2005 Research interests span infrastructure resilience quantification, quantum-classical optimization, and risk analysis of lifeline systems. He serves as Associate Editor for Natural Hazards Review and Structural Safety , and actively participates in ASCE committees. His group emphasizes interdisciplinary collaboration, addressing urban water security, hurricane risk economics, and topology optimization of critical networks.

Trung Q. DuongView profile

Professor

• Wireless Communications
• 6G Networks
• Physical Layer Security
• +7 more

Trung Q. Duong is a Professor at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the Wireless Communication Systems Institute. His research focuses on signal processing, wireless communications, quantum machine learning, and real-time optimization for 6G networks, UAV communications, and smart cities. He has secured £27M+ in research grants since 2014 and holds prestigious awards like the Newton Prize 2017 and AAIA Fellow status. His work contributes to UN Sustainable Development Goals, addressing environmental monitoring, healthcare, and disaster response. Research Interests: 6G networks, quantum optimization, UAV communication, digital twin networks Key Projects: RapidRANDefender, MISO, TUDOR Awards: Newton Prize 2017, AAIA Fellow (2022), multiple IEEE Best Paper Awards His publications span over 550 works with 21,000+ citations (h-index 80), contributing to fields like real-time optimization, environmental sensing, and secure edge computing.

Samee U. KhanView profile

Professor

• Quantum Computing
• Edge Computing
• Fog Computing
• +4 more

Samee U. Khan is a Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), affiliated with the Bagley College of Engineering. He holds a Ph.D. from the University of Texas (2007) and a B.S. from GIK Institute of Engineering & Technology (1999). His research focuses on optimization, robustness, and security of computer systems, with recent emphasis on quantum computing, edge/fog computing, and machine learning applications in neuroscience and cybersecurity. Key research interests include quantum algorithm development, edge computing architectures, and neuro-inspired systems. His work integrates quantum computing with traditional machine learning to address challenges in visual perception modeling and medical imaging analysis. He also explores fog computing frameworks for IoT and distributed systems, emphasizing security and efficiency in heterogeneous environments. Publications highlight advancements in quantum noise mitigation, hybrid quantum optimization, and brain-computer interface models. His contributions span simulation toolkits like iFogSim and frameworks for vehicular networks and blockchain-based resource management. Khan’s research bridges theoretical computer science with practical applications in smart homes, healthcare, and autonomous systems.

Emily TuckerView profile

Assistant Professor

• Social Good Operations Research
• Stochastic Optimization
• Quantum Optimization
• +3 more

Emily Tucker is an Assistant Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges operations research, stochastic modeling, and healthcare logistics to address critical societal challenges. Education: Ph.D. in Industrial and Operations Engineering, University of Michigan (2020) M.S.E. in Industrial and Operations Engineering, University of Michigan (2017) B.S. in Industrial and Systems Engineering, North Carolina State University (2013) Her research focuses on stochastic optimization, quantum computing applications, supply chain resilience, and healthcare policy. Recent work includes geopolitical impacts on pharmaceutical supply chains, equitable urban planning through optimization, and pandemic response strategies. Key publication trends show integration of stochastic modeling with healthcare operations (2020-2025), quantum optimization advancements, and resilience frameworks for disaster relief and global health equity. Her work spans theoretical algorithm development and real-world implementation in public health and supply chain domains. Professional Affiliations: Senior Member, Institute of Industrial and Systems Engineers (IISE) Member, Institute for Operations Research and the Management Sciences (INFORMS) She teaches graduate courses in transportation engineering, optimization theory, and uncertainty modeling. Research emphasizes policy-driven supply chain solutions and social good applications of operational research.

Seetal PotluriView profile

Assistant Professor

• Trustworthy Machine Learning
• Hardware Security
• FPGA Virtualization
• +2 more

Seetal Potluri is Assistant Professor in the Department of Electrical & Computer Engineering at the University at Albany, SUNY's College of Nanotechnology, Science, and Engineering. He holds a Ph.D. in Electrical Engineering from IIT Madras and researches trustworthy ML systems, FPGA security, and hardware reverse engineering. Research addresses security challenges in hardware-accelerated AI systems, focusing on: 1) Model extraction vulnerabilities in neural network hardware; 2) Secure FPGA virtualization for cloud environments; 3) Side-channel attacks on cryptographic hardware; 4) Explainable ML for hardware security validation. Work bridges machine learning theory with hardware implementation security. Publications demonstrate consistent focus on hardware-level attack vectors (scan-chain exploitation, cache attacks) and defensive strategies (obfuscation, formal verification). Recent work increasingly targets cloud FPGA security and post-quantum cryptography implementations. Research contributions have been recognized with best paper awards at leading hardware security venues. Awards & Honors: Best Paper Recognition Award, IEEE HOST 2022 Runner-up, IEEE TTTC Doctoral Thesis Contest 2015 (Asia) Professional service includes technical program committees for DAC and ICCAD conferences. Teaching and research activities are based in CNSE Downtown 305E, with contact via spotluri@albany.edu or 518-956-8248.

Emma L CarterView profile

Senior Lecturer

• Automotive Safety
• Pedestrian Injury Mitigation
• Blast Injury Mitigation
• +7 more

Dr. Emma L Carter is a Senior Lecturer in Solid Mechanics and Course Leader for the Mechanical Engineering Technology (BEng) Degree Apprenticeship at the Department of Engineering and Mathematics, College of Business, Technology and Engineering. She leads modules including Level 7 Applied Fatigue and Fracture Mechanics and Level 4 Engineering Principles for Apprentices. Her qualifications include MEng&Man(Hons), PhD, Chartered Engineer status, and Fellow of the Higher Education Academy. With 5 years in manufacturing (specializing in steel processing and lean manufacturing), she transitioned to academia in 2002, focusing on multi-body dynamics, pedestrian safety, MEMS, counter-terrorism blast modeling, and auxetic materials. Research interests span automotive safety, blast injury mitigation, finite element modeling, and genetic algorithm optimization. She has supervised a PhD student and multiple MSc/BEng dissertations. Notable awards include Athena SWAN advocacy and a DocFest competition finalist title. Her work includes EPSRC-funded research on auxetic metamaterials' wetting properties and public perception studies on counter-terrorism measures. Key Projects: EPSRC-funded 'Wetting of Auxetic Metamaterials' Teaching: BEng Mechanical Engineering Technology (Degree Apprenticeship), Aerospace Engineering MEng Professional Affiliations: Member of Institution of Mechanical Engineers Publications highlight contributions to pedestrian safety modeling, MEMS-based Casimir force investigations, and blast mitigation technologies.