جست‌وجوی استاد و پژوهشگر

• Quantum networks and distributed quantum computing
• Open quantum systems
• Quantum optics
• +۲ مورد دیگر

Wolfgang Pfaff is an Assistant Professor in the Department of Physics at the University of Illinois Urbana-Champaign, affiliated with the Grainger College of Engineering. His research focuses on quantum networks, superconducting circuits, and distributed quantum computing. He holds a PhD from Delft University of Technology (2013) and a Diplom (MSc) from the University of Regensburg (2009). Prior to UIUC, he was a Postdoctoral Associate at Yale University and a Researcher at Microsoft Quantum. Education: PhD, Applied Physics, Delft University of Technology, Netherlands, 2013 Diplom (MSc), Physics, University of Regensburg, Germany, 2009 Research Interests: Wolfgang’s work centers on quantum networks and distributed quantum computing, leveraging superconducting circuits and hybrid quantum systems. He has pioneered protocols for scalable quantum interconnects and remote entanglement stabilization. Key themes include open quantum systems, quantum optics, and quantum information processing. Grants & Funding: - $5.8M grant to develop modular quantum computing platforms - AFOSR $2.5M grant for stabilized entanglement research - Air Force Office of Scientific Research $1M grant - NSF QLCI HQAN funding Labs & Teams: He leads the Pfaff Lab , focusing on scalable quantum systems and hybrid architectures. Collaborations include Microsoft Quantum, Yale University, and TU Delft.

Fuchun Guoمشاهده پروفایل

دانشیار

• Public-Key Cryptography
• Security Proofs
• Cryptography
• +۳ مورد دیگر

Dr. Fuchun Guo is an Associate Professor at the University of Wollongong's School of Computing and Information Technology, affiliated with the Faculty of Engineering and Information Sciences. He holds an ARC Future Fellowship (2023-2026) and previously an ARC DECRA Fellowship (2017-2019). His research focuses on public-key cryptography, security proofs, and cryptographic definitions, with contributions to provable security, post-quantum cryptography, and privacy-preserving technologies. Guo earned his PhD in 2013 from the University of Wollongong, supervised by Yi Mu and Willy Susilo. His work extends to cryptographic primitives, security reductions, and formal definitions. Notable publications include books like Introduction to Cryptographic Definitions (Springer, 2025) and foundational research in CRYPTO, EUROCRYPT, and ASIACRYPT venues. His research interests span modern cryptography's theoretical underpinnings, including security models, cryptographic protocols, and practical implementations. Recent work emphasizes post-quantum security, privacy-preserving systems (e.g., cloud-assisted IoT, mobile social networks), and lattice-based cryptography. Awards: ARC Future Fellowship, ARC DECRA Fellowship Grants: ARC grants for "Provably Secure Cryptography Techniques" and "Secure Crowdsourcing Classification" Supervision: Actively supervising PhD students in cloud security, cryptographic proofs, and anonymous signature schemes. Guo’s lab explores cutting-edge cryptography for real-world applications, with a focus on bridging theoretical advancements and practical deployments in cybersecurity domains.

• Cryptography
• Elliptic Curves
• Post-Quantum Cryptography
• +۱ مورد دیگر

Dr. Huseyin Hisil is a Lecturer in Cryptography at the University of Wollongong's School of Computing and Information Technology. His research focuses on asymmetric cryptosystems, including elliptic curve cryptography, hyperelliptic curves, and post-quantum cryptographic solutions. He develops optimized algorithms for multiprecision arithmetic and finite field operations. Recent publications address efficient elliptic curve arithmetic using Karatsuba-friendly primes and Jacobian coordinate systems for genus 2 curves. His work bridges computational number theory with practical cryptographic implementations, enhancing security and performance in next-generation systems. He teaches undergraduate courses including Introduction to Web Technology (CSIT128) and Web Development (CSIT884), while coordinating Professional Capstone Projects (CSIT998). His research group explores cryptographic pairings and algebraic structures relevant to quantum-resistant protocols.

Risi Kondorمشاهده پروفایل

دانشیار

• Machine Learning
• Graph Theory
• Quantum Mechanics
• +۶ مورد دیگر

Risi Kondor is an Associate Professor in the Departments of Statistics and Computer Science at the University of Chicago. His research focuses on machine learning, group theory applications, and equivariant neural networks. He develops algorithms respecting geometric and physical symmetries, with contributions to graph learning, quantum mechanics modeling, and multiresolution matrix factorization. Key projects include the development of Covariant Compositional Networks (CCNs) for graph-structured data and N-body networks for molecular simulations. He has created software tools like GraphFlow, SnOB (FFT for symmetric groups), and Mondrian for high-performance computing. His work bridges algebraic methods (e.g., Fourier analysis on permutation groups) with machine learning, addressing challenges in multi-object tracking, computer vision, and materials science. Risi Kondor holds grants including a DARPA Young Faculty Award ($500K, 2016–2018) and NSF funding for non-commutative harmonic analysis in machine learning. His research emphasizes theoretical foundations and practical applications, advancing areas like equivariant architectures, multiscale analysis, and symmetry-aware machine learning systems.

• Medical Physics
• Radiation Therapy
• Radiation and Matter Interactions
• +۳ مورد دیگر

David Bolst is a Research Fellow at the School of Physics, University of Wollongong, within the Faculty of Engineering and Information Sciences. His research focuses on medical physics, radiation therapy, and computational modeling with applications in both clinical and space environments. Dr. Bolst has contributed significantly to the development and validation of Geant4-based models for hadron therapy, microdosimetry systems, and radiation protection technologies. Research Interests: His work spans medical physics (radiation therapy dosimetry, particle therapy modeling), radiation-matter interactions (secondary fragmentation, LET analysis), and space radiation protection (astronaut shielding, galactic cosmic ray studies). He has pioneered the use of silicon-on-insulator (SOI) microdosimeters for radiation quality assessment in diverse environments. Funding & Collaborations: He leads projects including the 'Advanced microdosimetry for particle therapy and space medicine' (2021-2022) and 'Anthropomorphic Phantom Ionising Radiation Modelling and Simulation' (2021-2022). Collaborations include institutions like CATANA and the Geant4 Medical Simulation Benchmarking Group. Grants: RevITAlise Research Grant Scheme (RITA): Advanced microdosimetry for particle therapy and space medicine (2021) Defence Materials Technology Centre: Anthropomorphic Phantom Modelling (2021) Labs/Teams: Involved in the G4-Med system development and the SOI microdosimeter project teams. Engaged with international collaborations in radiation physics and space medicine.

Tim Kacprowskiمشاهده پروفایل

استاد

• Medical Informatics
• Data Science
• Network Medicine
• +۹ مورد دیگر

Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.

Ping Zhongمشاهده پروفایل

دانشیار

• Free Probability
• Random Matrix Theory
• Operator Algebras
• +۲ مورد دیگر

Ping Zhong is an Associate Professor in the Department of Mathematics at the University of Houston. He holds a Ph.D. from Indiana University Bloomington and joined UH in 2024 after serving as Assistant Professor at the University of Wyoming (2018-2024) and completing postdoctoral work at the University of Waterloo. His research explores free probability theory, operator algebras, and applications of random matrix theory to high-dimensional statistics. Educational background includes: Ph.D. Mathematics, Indiana University (2014) M.S. Mathematics, Peking University (2008) B.S. Applied Mathematics, Huazhong University of Science and Technology (2005) Research focuses on fundamental mathematical structures in probability with emerging applications in quantum physics and statistical learning. Current investigations bridge theoretical frameworks with computational approaches for high-dimensional data analysis. Recent publications demonstrate consistent contributions to spectral analysis of random operators and convergence properties in non-commutative probability spaces. Works frequently appear in premier mathematics journals including Transactions of the AMS and Journal of the European Mathematical Society.

Ali Ghorbaniمشاهده پروفایل

استاد

• Cybersecurity
• Machine Learning
• Network Security
• +۳ مورد دیگر

Dr. Ali Ghorbani is a Professor and Tier 1 Canada Research Chair in Cybersecurity at the University of New Brunswick's Faculty of Computer Science, where he served as Dean from 2008-2017. He is the founding Director of the Canadian Institute for Cybersecurity (CIC), established in 2016. Ghorbani holds BSc (Tehran), MSc (George Washington University), and PhD (UNB) degrees. With 42+ years in academia, his research spans cybersecurity, machine learning, adaptive systems, and critical infrastructure protection. Ghorbani has co-founded three cybersecurity startups (Sentrant Security, EyesOver Technologies, Cydarien Security) and co-invented four awarded patents. He has published 300+ peer-reviewed papers and supervised 250+ researchers. Professional roles include co-founding the National Cybersecurity Consortium (NCC) and serving as co-editor-in-chief of Computational Intelligence journal. Awards & Honors: Canada Research Chair in Cybersecurity Startup Canada Senior Entrepreneur Award (2017) RBC Top 25 Canadian Immigrants (2019) CAIAC Lifetime Achievement Award (2024)

Francesc Xavier Mallafré Portaمشاهده پروفایل

استاد

• Computer Science
• Computer Engineering
• Mathematics
• +۳ مورد دیگر

Francesc Xavier Mallafré Porta is a Professor at the Department of Computer Engineering and Mathematics at Rovira i Virgili University. His affiliation is with the Southern Catalonia International Excellence Campus, located at the Sescelades Campus in Tarragona. The Department focuses on interdisciplinary research in Computer Science, Telematics, and Mathematics, addressing both theoretical and practical engineering challenges. Research interests align with departmental expertise, including cybersecurity, computational engineering, and mathematical modeling. He contributes to teaching and research activities within the faculty, though specific grants or current projects are not detailed in available texts. Contact information includes office 141 and the email listed above. The department is involved in initiatives such as the HERMES project and organizes events like the DEIMinary workshops on post-quantum cryptography, though personal involvement in these is not explicitly stated.

Todd Pittmanمشاهده پروفایل

استاد

• Quantum Information
• Quantum Optics
• Nonlinear Optics
• +۳ مورد دیگر

Todd Pittman is a Professor in the Department of Physics at the University of Maryland, Baltimore County (UMBC), affiliated with the College of Natural and Mathematical Sciences. Previously, he served as an experimental physicist at the Johns Hopkins University Applied Physics Laboratory. His research focuses on quantum information, quantum optics, and ultralow-power nonlinear optics, with emphasis on quantum computing using photonic qubits, entanglement generation, and novel nonlinear optical techniques. Education: Ph.D. Physics, UMBC (1996) M.S. Physics, UMBC (1992) B.S. Physics, Bucknell University (1990) Research Interests: Quantum computing with single-photon qubits (e.g., Linear Optics Quantum Computing) Quantum entanglement (parametric down-conversion, entangled photon holes) Ultralow-power nonlinear optics using tapered optical nanofibers and noble gas systems Recent work includes advancements in quantum memory systems, noiseless attenuation of quantum states, and experimental demonstrations of zero-photon subtraction techniques. Awards: No specific awards are explicitly mentioned in the provided texts. Advising & Grants: No advisees or grant details are listed, though his research likely involves significant funding given the experimental focus. Labs & Teams: Leads the Quantum Information Group laboratory at UMBC, specializing in experimental quantum optics and photonic systems.

Qianwen Guoمشاهده پروفایل

استادیار

• Public transit
• Transportation resilience
• Shared mobility
• +۴ مورد دیگر

Dr. Qianwen (Vivian) Guo is an Assistant Professor in the Department of Civil and Environmental Engineering at the FAMU-FSU College of Engineering. Her research focuses on optimizing transportation systems, particularly in public transit, shared mobility, and infrastructure resilience. She holds a joint Ph.D. in Civil Engineering from Cornell University and Management Science and Engineering from Huazhong University of Science and Technology. Dr. Guo's work spans interdisciplinary areas including quantum computing applications in transportation, disaster evacuation planning using autonomous vehicles, and equity-aware transit policies. She has received funding from NSF, FDOT, and USDOT, and leads the FAMU-FSU ITE student chapter. Her research has been recognized by the Society of Asian Scientists & Engineers in 2021. Education: Ph.D., Joint Program: Civil Engineering (Cornell University) Ph.D., Management Science and Engineering (Huazhong University) M.S., Transportation Engineering (Huazhong University) B.S., Transportation Engineering (Southwest Jiaotong University) Her recent publications emphasize quantum-driven frameworks for transportation resilience, machine learning for safety analysis, and real-time transit optimization strategies. Dr. Guo collaborates actively on projects addressing demand uncertainty, sustainable policies, and equitable infrastructure investments.

Mohammad Karimمشاهده پروفایل

استاد

• Optical Computing
• Information Processing
• Pattern/Target Recognition
• +۵ مورد دیگر

Mohammad Karim, PhD, is a Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth (UMass Dartmouth), affiliated with the College of Engineering. He previously held leadership roles including Provost, Executive Vice Chancellor for Academic Affairs, and Chief Operating Officer at UMass Dartmouth. His career includes serving as Vice President of Research at Old Dominion University (2004–2013), Dean of Engineering at City College of New York (2000–2004), and Head of Electrical and Computer Engineering at the University of Tennessee (1998–2000). He is an elected fellow of multiple prestigious organizations, including IEEE, OSA, and SPIE. Dr. Karim holds a BS Honors in Physics from the University of Dhaka (1976) and MS in Physics (1978) and MS/PhD in Electrical Engineering (1979/1981) from the University of Alabama. His research focuses on optical computing, pattern recognition, electro-optical systems, and sensors, with funding from agencies like the Office of Naval Research and NASA. He has authored 19 books, over 365 papers, and 13 book chapters, and served as guest editor for 36 journal special issues. His awards include Fellowships from IEEE, OSA, and the Bangladesh Academy of Sciences. He mentors students in MS/PhD programs and advises on research proposals. His work spans academic leadership, technical innovation, and interdisciplinary collaboration in engineering and optics.

Justin Y. Shiمشاهده پروفایل

دانشیار

• Scalable Computing
• Blockchain Protocols
• Software Safety
• +۵ مورد دیگر

Justin Y. Shi is an Associate Professor at Temple University's Computer and Information Science Department. His research focuses on scalable computing, blockchain protocols, software safety, and infinitely scalable systems. He holds a PhD from the University of Pennsylvania and has held roles including Interim Director of the Center for Advanced Computing and Communications (1992-1998) and CIS Department Chair (2007-2009). B.S. Computer Engineering, Shanghai Jiao-tong University (1977) M.S. Software Engineering, University of Pennsylvania (1983) PhD in Concurrent Programming, University of Pennsylvania (1984) His research explores decoupling programs and data from physical devices to achieve fault tolerance and scalability. Key contributions include the Statistic Multiplexed Computing (SMC) paradigm and foundational work on parallel algorithms and distributed systems. He has authored patents on scalable parallel computing and high-performance blockchain systems. Teaching highlights include courses on quantum computing, cybersecurity, and fullstack programming. He has advised over 15 students, many now in industry and academia. Founder & CEO of Parallel Computers Technology Inc. (2000-2017) Co-founder of SMC Labs (2022-present) Active in editorial roles for IEEE Blockchain Technology Briefs and contributor to NSF workshops on cloud computing. His work has been exhibited at Supercomputing Conferences (1991-2018).

• Computer Science
• Software Engineering
• Formal Methods
• +۶ مورد دیگر

Thomas Henzinger is a Professor at the Institute of Science and Technology Austria (IST Austria) since 2009, serving as its President from 2009 to 2022. He holds honorary doctorates from Fourier University and Masaryk University. His research focuses on formal methods for improving software reliability in concurrent and embedded systems, with contributions to quantitative verification, quantum computing, and algorithmic fairness. He leads the Henzinger Group , which addresses challenges in software correctness, safety-critical systems, and AI ethics. Education: PhD from Stanford University (1991), followed by postdoctoral work at Université Joseph Fourier (1991). Research Interests: Concurrent and embedded systems, formal methods, quantum algorithms, fairness in AI, and runtime verification. His team develops mathematical foundations and tools to ensure software robustness in complex systems. Recent Trends in Publications: Focus on advancing formal verification techniques for neural networks, quantum computing, and ethical AI. Key contributions include fairness shields for decision systems and middleware for third-party monitoring (VAMOS). Awards: Royal Society Fellow (2024), US National Academy of Sciences Member (2020), Wittgenstein Award (2012), and numerous test-of-time awards. Advising & Grants: Advised over 20 PhD students. Secured ERC Advanced Grants (VAMOS, QUAREM) and FWF grants (Wittgenstein Award). Labs/Teams: Leads the Henzinger Group , collaborating on projects like SPyCoDe (semantic security) and VAMOS (third-party monitoring middleware).

Chao-Ming Jianمشاهده پروفایل

استادیار

• Theoretical Condensed-Matter Physics
• Quantum Many-Body Systems
• Topological Phases of Matter
• +۴ مورد دیگر

Chao-Ming Jian is an Assistant Professor in the Department of Physics at Cornell University's College of Arts and Sciences, specializing in theoretical condensed-matter physics. His research focuses on emergent phenomena in quantum many-body systems, with particular emphasis on topological phases, quantum criticality, and entanglement dynamics. Research Interests: Jian's theoretical work explores exotic phases in quantum magnets (particularly spin liquids with fractionalized excitations), strongly-interacting quantum critical points, non-Fermi liquids, and entanglement dynamics in quantum systems. His group develops non-perturbative approaches including dualities, quantum anomalies, and dynamical mean-field theories to characterize novel collective behaviors in correlated electron systems, fractional quantum Hall systems, and quantum magnets. Research Trends: His recent publications (2023-2025) demonstrate growing focus on monitored quantum dynamics, measurement-induced criticality, topological domain wall modes, and exotic phase transitions in weakly-decohered systems. Jian frequently employs dualities and quantum anomalies to uncover universal properties of strongly-interacting systems, with increasing connections to quantum information science and error correction. Awards: Sloan Research Fellowship (2024) Moore Foundation Fellow at Kavli Institute for Theoretical Physics (2016-2017, 2018-2019) Graduate Fellow at Kavli Institute for Theoretical Physics (2015) Advising & Grants: Jian currently advises graduate students Zhou Yang and Asad Bhuiyan. His research is supported by grants enabling experimental collaborations (including IBM quantum processor experiments) and theoretical work on topological phases. He actively participates in outreach through REACT and EYH workshops, developing educational modules on moiré patterns for K-12 students. Labs & Teams: Jian leads a theoretical research group at Cornell collaborating with experimentalists (notably the Mak-Shan group on frustrated magnetism in Wigner-Mott insulators). His team frequently partners with quantum computing researchers and condensed matter theorists across institutions, particularly on projects involving quantum error correction and topological phases.