جست‌وجوی استاد و پژوهشگر

Yvo G. Desmedtمشاهده پروفایل

استاد

• Cryptography
• Quantum Computing
• Network Security
• +۲ مورد دیگر

Yvo Desmedt is the Jonsson Distinguished Professor in Computer Science at the University of Texas at Dallas and Director of the Cyber Security Research and Education Institute. An IACR Fellow and member of the Belgium Academy of Science, he invented e-Passports and e-Visas in 1988. His research spans cryptography, quantum computing, network security, and critical infrastructure protection. Desmedt pioneered techniques in binary software hardening including control-flow integrity and object flow integrity protections. Recent innovations include crook-sourcing for intrusion detection improvement and confidential computing for deep learning inference. His work bridges theoretical cryptography with practical security applications, earning recognition including the NSF IUCRC Technology Breakthrough Award. With over 200 publications, he has chaired major conferences including Crypto and Public Key Cryptography. Current projects examine vulnerability detection using graph learning and renewable control-flow integrity mechanisms for software security.

Jian Shiمشاهده پروفایل

استاد

• Materials Science
• Physics
• Quantum Computing
• +۵ مورد دیگر

Jian Shi is a Professor in both the Department of Materials Science and Engineering and the Department of Physics, Applied Physics, and Astronomy at Rensselaer Polytechnic Institute (RPI). He also holds a Simons Foundation Pivot Fellowship and has been a Visiting Scholar at the Pritzker School of Molecular Engineering at the University of Chicago. Ph.D. in Materials Science, University of Wisconsin-Madison (2012) Postdoc in Applied Physics, Harvard University (2014) His research focuses on understanding and engineering the optical, electronic, and spintronic properties of novel materials, particularly van der Waals solids, polar/ferroelectric crystals, chiral systems, and materials with tunable Berry parameters. His group develops experimental approaches for energy-efficient quantum and spintronic devices, utilizing strain engineering, symmetry manipulation, and heterostructure design. Recent publications highlight advancements in halide perovskite engineering, strain-induced topological phases, and quantum device applications. Key trends include spin-orbit coupling, ferroelectricity, and 2D materials for computing and energy conversion. Simons Foundation Pivot Fellowship (2023) IEEE Ferroelectrics Young Investigator Award (2023) School of Engineering Outstanding Research Team Award (2024) Early Career Editor roles at Journal of Applied Physics (2020–present) His group has advised numerous Ph.D. students and postdocs now placed at institutions like Applied Materials, Apple, and Micron Technology. Funding sources include NSF, AFOSR, ARO, and IBM. Key lab equipment includes customized ALD, PLD, and CVD systems, cryogenic transport and optical stages, high-pressure reactors, and advanced spectroscopy tools. Collaborative research spans quantum computing, neuromorphic devices, and energy materials.

Wei Shiمشاهده پروفایل

استاد

• Distributed computing
• Cloud computing
• Data center networks
• +۶ مورد دیگر

Professor Wei Shi is a faculty member at the School of Computer Science, Carleton University. His research focuses on distributed computing, cloud networks, algorithm design for sensor/actuator systems, big data analytics, and data privacy. Notable projects include federated learning optimizations, blockchain-enabled edge intelligence for IoT/vehicle networks, and AI-driven cybersecurity solutions. His work addresses challenges in dynamic resource allocation, anomaly detection, and privacy-preserving techniques. Research Interests: Distributed Computing: Optimizing federated learning and client selection algorithms for wireless networks. Blockchain & Edge Intelligence: Developing decentralized systems for IoT and vehicular networks using AI large models. Security & Privacy: Innovating methods to detect AI-generated content, combat cyber-physical attacks, and protect user data privacy. Publications: Recent works emphasize federated learning applications, blockchain integration with edge computing, and cybersecurity for vehicular/IoT ecosystems. Key themes include energy-efficient algorithms, dynamic resource allocation, and intrusion detection in constrained environments. Email: wei.shi@carleton.ca

Xin Fuمشاهده پروفایل

استاد

• Computer Architecture
• Machine Learning
• Energy-Efficient Computing
• +۲ مورد دیگر

Dr. Xin Fu is a Professor in Electrical and Computer Engineering at the University of Houston's Cullen College of Engineering, holding a PhD from the University of Florida. His research spans computer architecture, energy-efficient systems, machine learning acceleration, and hardware reliability, with applications in edge computing and quantum systems. Awarded the NSF CAREER Award and named Miller Scholar, he leads innovations in heterogeneous computing architectures. Research focuses on optimizing hardware-software co-design for AI workloads, with current projects in federated learning optimization, quantum computing reliability, and neural network acceleration. Recent publications demonstrate cross-cutting work in mobile AI deployment, adversarial defense mechanisms, and quantum error correction. Honors include: NSF Faculty Early CAREER Award (2014) Four-time recipient of competitive NSF research grants Miller Scholar recognition for teaching and research excellence

Chanchal K. Royمشاهده پروفایل

استاد

• Software Engineering
• Software Maintenance and Evolution
• Code Clone Detection
• +۳ مورد دیگر

Dr. Chanchal K. Roy is a Professor of Software Engineering/Computer Science at the University of Saskatchewan (USask), Canada, and Director of the NSERC CREATE SOAR program. He leads the Software Research Lab (SRLab) and is renowned for his work on code clone detection (NiCad tool) and software maintenance. His research spans software evolution, big data analytics, and quantum computing applications in software engineering. Dr. Roy holds a Ph.D. from Queen’s University, an M.Sc. from RWTH Aachen University, and a B.Sc. from Khulna University. Research interests include software clone detection, maintenance, and evolution, with emphasis on semantic analysis and cross-language clones. He has published over 240 papers (h-index 52) and attracted $6M+ in funding, including NSERC grants and CFI-JELF support. Awards include the GSA Advising Excellence Award, Outstanding Young Computer Science Researcher Award, and multiple Most Influential Paper awards. Key contributions include developing NiCad, advancing Stack Overflow search techniques, and leading collaborative projects in software analytics. His work has been featured in ACM Tech News, TechRepublic, and Stack Overflow blogs. Dr. Roy actively engages in keynotes at conferences like WCRE, IWSC, and BIM.

Cristian Ciobanuمشاهده پروفایل

استاد

• Nanoscale Surface Physics
• Two-Dimensional Materials
• Computational Materials Design
• +۳ مورد دیگر

Cristian Ciobanu serves as Professor in the Department of Mechanical Engineering at Colorado School of Mines, where he has maintained continuous faculty appointment since 2004. His academic journey includes postdoctoral research at Brown University prior to joining Mines, with progressive promotions from Assistant to Associate to full Professor by 2014. Educational background: PhD in Physics, The Ohio State University (2001) MS in Physics, The Ohio State University (1998) BS in Physics, University of Bucharest (1995) His research program integrates computational and experimental approaches to address fundamental challenges in nanoscale surface physics and two-dimensional materials . Specialized expertise includes evolutionary algorithms for atomic structure optimization, development of materials for renewable energy applications, and investigation of self-organized nanostructures on crystal surfaces. Current work emphasizes machine learning applications in high-entropy alloy design and piezoelectric property engineering of layered systems. Publication trends reveal sustained focus on transition metal dichalcogenides, computational materials discovery, and piezoelectric response enhancement through alloying. Recent work increasingly incorporates machine learning for materials design while maintaining strong experimental validation through advanced microscopy and spectroscopy techniques. Key recognitions include: NSF Career Award (2009-2014) Research Excellence Award at Colorado School of Mines (2013) Fellow of the Institute of Physics (elected 2014) Ohio State Presidential Fellowship (2000-2001) Research funding has been secured through competitive mechanisms including the NSF Career Award, supporting his authorship of over 60 technical publications and a coauthored book on atomic structure determination. He actively advises graduate students in computational materials science and nanotechnology research within the Mechanical Engineering department. His scholarly activities are complemented by professional memberships in the Materials Research Society, American Physical Society, and American Vacuum Society. While specific laboratory facilities aren't detailed in source materials, his publication record indicates capabilities in computational modeling, scanning probe microscopy, and thin film characterization relevant to nanoscale materials research.

• Wireless Communications
• 6G Networks
• Reconfigurable Intelligent Surfaces
• +۲ مورد دیگر

Symeon Chatzinotas is a Full Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), leading research in Signal Processing and Communications. His work advances 6G networks, quantum communications, reconfigurable intelligent surfaces, and integrated satellite-terrestrial systems. Recent publications explore quantum MIMO channels, digital twins for 6G ecosystems, and STAR-RIS-enhanced satellite networks. Research shows strong emphasis on next-generation wireless technologies and cross-domain network integration.

Jan Bernauerمشاهده پروفایل

دانشیار

• Nuclear Physics
• Particle Physics
• Proton Structure
• +۳ مورد دیگر

Jan Bernauer is an Associate Professor in the Department of Physics and Astronomy at Stony Brook University with a joint position at RIKEN BNL Research Center. He obtained his Ph.D. from Johannes Gutenberg University Mainz in 2010 and previously held research positions at MIT from 2010-2018. Education: Ph.D. in Nuclear Physics, Johannes Gutenberg University Mainz (2010) Diplom in Physics, Johannes Gutenberg University Mainz His research focuses on precision nuclear physics at the intersection of particle and nuclear physics, including proton form factor measurements, two-photon exchange effects, and beyond-Standard-Model searches. Current projects involve sPHENIX streaming readout, MUSE (muon scattering), and TPEX (two-photon exchange) experiments. Research outputs emphasize precision measurement techniques, with recent work on detector development (40% of publications) and QCD fundamentals (30%). Collaborative projects span 15+ institutions including MIT, DESY, and Jefferson Lab. Awards & Recognition: Infinite Kilometer Award (MIT, 2017) NSF Career Award Stony Brook Foundation Award Research Teams: Leads a group with 2 postdocs, 3 graduate students, and 4 undergraduates developing novel detector systems for RHIC and EIC. Current grants support instrumentation development for streaming readout in particle physics experiments.

Harrison Huibin Zhouمشاهده پروفایل

استاد

• High-Dimensional Data Analysis
• Nonparametric Estimation
• Statistical Decision Theory
• +۳ مورد دیگر

Harrison Huibin Zhou is the Henry Ford II Professor of Statistics and Data Science at Yale University. He has held leadership roles, including Department Chair of Statistics and Data Science (2018–present) and former Chair of Statistics (2012–2017). His academic career at Yale spans over two decades, with promotions from Assistant Professor (2004–2009) to Associate (2009–2010) and full Professor (2010–present). Research Interests: Dr. Zhou specializes in high-dimensional statistical theory, including nonparametric estimation, minimax theory, and applications in network analysis, machine learning, and functional data analysis. His work bridges theoretical foundations with computational methods, addressing challenges in modern statistical decision-making. Publications: His recent work focuses on spectral clustering, quantum state tomography, and optimal estimation in high-dimensional models. Notable contributions include theoretical guarantees for algorithms like the EM method in Gaussian mixtures and advancements in community detection in networks. Teaching: He teaches advanced courses such as Functional Data Analysis, Nonparametric Estimation, and Decision Theory, reflecting his expertise in statistical methodology and theory. Professional Service: Organized workshops on topics like Empirical Processes (2015) and High-Dimensional Data (2012), underscoring his role in fostering academic collaboration.

Sebastian van Strienمشاهده پروفایل

استاد

• Dynamical Systems
• Pure Mathematics
• Applied Mathematics
• +۴ مورد دیگر

Sebastian van Strien is a Professor and Chair in Dynamical Systems at the Department of Mathematics, Faculty of Natural Sciences, Imperial College London. His research focuses on Dynamical Systems, with emphasis on low-dimensional dynamics, applications to economics, and complex systems. He leads the Dynamical Systems group and is affiliated with the CNRS-Imperial Abraham de Moivre UMI. His work spans pure and applied mathematics, including contributions to renormalization theory, entropy dynamics, and network analysis. He has supervised numerous PhD students and holds an ERC Advanced Grant. Key publications include studies on coupled maps, holomorphic dynamics, and entropy monotonicity. His research bridges theoretical foundations with real-world applications in networks and economic models. Research interests include nonlinear dynamics , chaos theory , and interdisciplinary applications. Notable contributions include work on universality in period-doubling, transversality in hyperbolic systems, and data-driven analysis of critical transitions. He collaborates internationally, organizing conferences such as the International conference in honor of Jean-Marc Gambaudo . His monograph One-Dimensional Dynamics (with Welington de Melo) remains a foundational text in the field. Current projects explore sparse network dynamics and quasiconformal rigidity. Grants: ERC Advanced Grant, CNRS collaborations. Labs/Teams: Dynamical Systems Group, CNRS-Imperial UMI.

• Stochastic Analysis
• Mathematical Finance
• Option Pricing
• +۵ مورد دیگر

Blanka Horvath is a Lecturer at King's College London and Honorary Lecturer at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). Her research focuses on stochastic analysis and mathematical finance, particularly in numerical methods, machine learning applications, and volatility modeling (e.g., SABR and rough volatility models). She holds a PhD from ETH Zurich (2015), a Diplom in Mathematics from the University of Bonn, and an MSc in Economics from the University of Hong Kong. She has organized major conferences such as the SIAM MMF 2017 mini-symposium and co-organized the Rough Volatility Meeting at Imperial College. Her honors include the 2019 Risk Rising Star Award and the 2024-25 LMS Emmy Noether Fellowship. She collaborates with institutions like UBS, The Alan Turing Institute, and Quantennium LTD. Her teaching includes courses on numerical methods in finance and Python/R programming. She supervises PhD and MSc students in areas like rough volatility, machine learning, and quantitative finance. Recent work explores quantum GANs for option pricing and regime detection using Wasserstein distances.

Benjamin Turnbullمشاهده پروفایل

دانشیار

• Cyber Security
• Simulation
• Digital Forensics
• +۶ مورد دیگر

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

• Optical Communications
• Quantum Computing
• Quantum Key Distribution
• +۳ مورد دیگر

Professor Dominic O'Brien is a Professor of Engineering Science at the University of Oxford and Senior Research Fellow at Balliol College. He serves as Director of the UK National Hub in Quantum Computing and Simulation. His research focuses on optoelectronics, optical wireless communications, and quantum key distribution. He leads the optical communications group and has authored over 200 publications in these areas. His work emphasizes high-speed free-space optical systems, UV-based secure communication, and beam-steering technologies. Education: MA and PhD from the University of Cambridge, followed by a DPhil from the University of Oxford. His research interests include quantum networks, photonics, and energy-efficient optical systems. Notable projects include handheld low-cost quantum key distribution systems and terabit-per-second fiber-wireless links. He collaborates on initiatives like the WORTECS project for virtual reality applications using optical wireless. Publications span topics from UV solar-blind OWC to liquid crystal beam steering. His work bridges academic and industrial applications, addressing challenges in both classical and quantum communication systems. He contributes to standards for visible light communications and next-generation wireless infrastructure.

Christopher Gilliamمشاهده پروفایل

استادیار

• Signal Processing
• Radar Systems
• Sampling Theory
• +۵ مورد دیگر

Dr. Christopher Gilliam is an Assistant Professor in Applied Signal Processing at the University of Birmingham's Department of Electronic, Electrical and Systems Engineering. He holds an MEng (1st Class Hons) in Electrical & Electronic Engineering (2008) and a Ph.D. in Signal Processing (2013), both from Imperial College London. Prior to joining Birmingham in 2022, he was a Postdoctoral Fellow at The Chinese University of Hong Kong (2013–2017) and a Research Fellow at RMIT University, Australia (2017–2022). Research Interests: Sensor signal processing, radar imaging, sampling theory, motion estimation, quantum navigation, and medical imaging. Labs: Microwave Integrated Systems Laboratory (MISL). Committees: Member of IEEE Signal Processing Society and APSIPA Technical Committees. His work focuses on advancing signal processing techniques for radar systems, navigation, and medical imaging. Recent research highlights include drone-based SAR imaging, motion correction in MRI, and fusion of classical/quantum sensors for inertial navigation. He is actively supervising PhD students and contributes to projects sponsored by DSTG. Publications span radar SLAM, probabilistic navigation algorithms, and deep learning-driven medical imaging solutions. His research bridges theoretical signal processing with practical applications in autonomous systems and healthcare.

Henk Stoofمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Physics
• Statistical Mechanics
• +۷ مورد دیگر

Prof. Henk Stoof is a theoretical physicist at Utrecht University's Department of Theoretical Physics (ITF), specializing in condensed matter and quantum systems. His research focuses on collective quantum phenomena in ultracold atomic gases, neutron stars, and topological materials like Weyl semimetals and quantum Hall systems. He has pioneered studies on space-time crystals, excitonic dynamics in nanomaterials, and holographic models of strongly correlated systems. Recipient of prestigious grants: NWO VICI (2003), NWO Gravitation (2012) Fellow of the American Physical Society (2006) Distinguished Simons Lecturer (2004) His work bridges quantum many-body theory with experimental systems, including Bose-Einstein condensates and light condensates. Key contributions include discovering space-time crystalline order in superfluids and advancing understanding of topological excitons and strange metal behavior. Teaching responsibilities include courses on statistical field theory and complex systems. He collaborates internationally and advises on grants related to quantum hydrodynamics and topological phases.