جست‌وجوی استاد و پژوهشگر

Thierry Warinمشاهده پروفایل

استاد

• Data Science for Global Transformations
• Platform Economy
• Industrial Organization
• +۷ مورد دیگر

Thierry Warin is a Full Professor of Data Science for International Business at HEC Montréal, directing the Department of International Business. He holds the Professorship in Data Science for International Business and is a Principal Investigator at CIRANO, leading the World Economy theme. His roles include affiliations with Harvard Business School’s Microeconomics of Competitiveness program and the International Trade and Finance Association presidency (2020-2022). Education: PhD from ESSEC Business School (France, 2000). Professional development includes the Harvard Business Analytics Program (2018-2020) and GIS training at Harvard. Research Interests: Data science applications in global economic transformations, including network theory, natural language processing, and computational methods. Focus areas: algorithmic collusion, platform economies, and metadata-driven analyses. He develops open-source tools like the statcanR package and advocates for reproducible research. Articles Trends: Recent work explores AI regulation, algorithmic competition, climate transition plans, and central bank speech analysis. Methodologies span structural topic modeling, social media analytics, and entropy-based frameworks. Awards: Honored with the Highly Commended Paper Award (2017-2018) and Emerald Literati Award (2018) for reverse innovation research. Recognized for contributions to computational social science and regulatory frameworks. Advising & Grants: Supervised 16 master’s projects since 2019, focusing on data science applications in global business challenges. Active in interdisciplinary initiatives like the St. Lawrence–Great Lakes corridor data hub. Labs & Philanthropy: Founded quantum simulations and leads Ed’Haîti , an NGO addressing education in Haiti. Collaborates on Science des données au féminin en Afrique , empowering 200 African women with data science skills.

• Artificial Intelligence
• Human-Computer Interaction
• Computer Vision
• +۴ مورد دیگر

Prof. Dr. Julius Schöning is a Professor at the Faculty of Engineering and Computer Science , Osnabrück University of Applied Sciences. His research focuses on Artificial Intelligence , Human-Computer Interaction , and Computer Vision within agricultural contexts. 2019–Present: Professor, Hochschule Osnabrück 2018–2019: System Architect, ZF Friedrichshafen AG 2014–2018: Researcher, University of Osnabrück 2009–2013: Project Lead/System Engineer, CLAAS Harsewinkel Education: M.Sc. in Intelligent Embedded Microsystems (Freiburg), B.Eng. in Mechatronics (DHBW Stuttgart) His research spans smart agriculture , quantum NLP , and explainable AI systems , with recent work on vibrotactile warning systems, AI compliance frameworks, and hybrid dataset applications in farming. Publications emphasize interdisciplinary approaches bridging technology and agricultural practice . Scientific honors include: DAAD Stipendium for conference participation Best Paper Award (2018) IEEE GHTC Student Paper Contest Winner (2016) Sonderpreis für gute Lehre (2017) Finalist/Falling Walls Lab (2015)

Krishnendu Guhaمشاهده پروفایل

استادیار

• Embedded Systems
• Cybersecurity
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Krishnendu Guha is an Assistant Professor and CONNECT Funded Investigator at the School of Computer Science and Information Technology, University College Cork. His research bridges embedded systems, cybersecurity, and quantum-safe hardware design with AI and bio-inspired strategies. PhD: University of Calcutta (Department of Science and Technology, Government of India) Postdoctoral: University of Florida Past Roles: Research Fellow at Intel India, Visiting Scientist at Indian Statistical Institute, Temporary Assistant Professor at NIT Jamshedpur His research focuses on embedded systems security , real-time security mechanisms , and quantum-safe hardware . He integrates AI (e.g., neural networks) and bio-inspired strategies (e.g., gecko crypsis behavior) into security frameworks for FPGAs and edge platforms. Recent publications highlight trends in blockchain for supply chains , quantum machine learning , secure FPGA architectures , and distributed AI systems . His work addresses energy efficiency, fault detection, and decentralized security in hardware. As a CONNECT Centre member, Dr. Guha contributes to advanced research in reconfigurable systems and cybersecurity. Grants and collaborations span quantum-safe design, cloud FPGA security, and hardware trojan mitigation.

Thomas C. Killianمشاهده پروفایل

استاد

• Atomic Physics
• Plasma Physics
• Ultracold Atoms
• +۳ مورد دیگر

Thomas C. Killian serves as Dean of the Wiess School of Natural Sciences and Professor of Physics and Astronomy at Rice University, where he joined the faculty in 2001 after completing his PhD at MIT and a postdoctoral fellowship at NIST. His leadership roles include Deputy Speaker of the Faculty Senate, Chair of the Physics and Astronomy Department, and Associate Dean of Strategic Planning, with significant contributions to academic governance and resource allocation for research and education missions. He earned his AB in Physics from Harvard University (1991), an M.Phil in Physical Chemistry from Cambridge University as a Marshall Scholar (1993), and a PhD in Atomic Physics from MIT (1999). His research focuses on matter at temperatures near absolute zero, exploring quantum degenerate atomic gases, ultracold plasmas, and Rydberg systems to uncover fundamental physical laws with applications in quantum computing, precision timekeeping, and astrophysical modeling of white dwarf stars. His pioneering experimental work includes producing atomic Bose-Einstein condensates and developing techniques for generating the coldest neutral plasmas ever observed, bridging microscopic quantum behavior and macroscopic astrophysical phenomena. This research program investigates strongly interacting systems where quantum effects dominate classical physics. Notable honors include: Fellow of the American Physical Society David and Lucille Packard Foundation Science and Engineering Fellowship Alfred P. Sloan Research Fellowship Professor Killian co-founded nano3D Biosciences (now ChemoSen3D) to commercialize 3D bioprinting technology for drug discovery and personalized medicine, demonstrating translational impact beyond academia. His laboratory at Rice operates cutting-edge facilities for ultracold matter research, collaborating with institutions like UT MD Anderson Cancer Center on interdisciplinary projects that merge atomic physics with biomedical applications.

• Probability Theory
• Number Theory
• Harmonic Analysis
• +۳ مورد دیگر

Dr. Bence Borda is an Assistant Professor in Mathematics at the University of Sussex, affiliated with the School of Mathematical and Physical Sciences. He holds a PhD from Rutgers University (2016), advised by József Beck, and has held postdoctoral positions at the Alfréd Rényi Institute of Mathematics (2017–2019) and Graz University of Technology (2019–2024), supported by a Lise Meitner Fellowship (FWF) from 2022–2024. PhD: Mathematics, Rutgers University (2016) His research lies at the intersection of probabilistic number theory , Diophantine approximation , random walks on groups , and harmonic analysis , with a focus on equidistribution theory and discrepancy measures. Recent publications explore limit laws for cotangent sums, quantum modular forms, and stochastic behavior in number-theoretic sequences. Key trends in his work include the use of Wasserstein metrics for quantifying equidistribution, random matrix eigenvalues in compact groups, and determinantal point processes on geometric manifolds. His contributions span both theoretical analysis and computational applications. Scientific Awards Lise Meitner Fellowship (FWF), 2022–2024 He has supervised teaching at institutions including Rutgers University and Budapest Semesters in Mathematics, covering calculus, analysis, and graduate-level courses. He co-organized the 2025 Analysis and Optimal Transport Workshop at Sussex and actively participates in international conferences.

Pankaj Mehtaمشاهده پروفایل

استاد

• Statistical Physics
• Systems Biology
• Ecological Dynamics
• +۳ مورد دیگر

Pankaj Mehta is a Professor in the Department of Physics at Boston University, with additional affiliations in the Department of Biomedical Engineering. His research bridges statistical physics, theoretical biology, and interdisciplinary systems approaches. Key areas include ecological dynamics, synthetic biology, and the application of machine learning principles to biological systems. His work focuses on understanding emergent phenomena in biological systems, such as cell fate decisions, ecosystem stability, and signal processing in cellular networks. He has pioneered methods combining physics-based modeling with computational tools to study complex systems, including gene circuits, microbial communities, and cancer dynamics. Recent contributions highlight the use of order parameters for interpreting cellular states, geometric frameworks for ecological niches, and machine learning analogies to ecological principles. His interdisciplinary approach integrates experimental data with theoretical models to address questions in biomedicine, environmental science, and fundamental physics.

• Physics
• Computer Science
• Mathematics
• +۱۰ مورد دیگر

Cristopher Moore is a Professor at the Santa Fe Institute, where he conducts interdisciplinary research at the intersection of physics, computer science, and mathematics. His work focuses on understanding phase transitions in computational problems, statistical inference, and network analysis. Moore has made significant contributions to the fields of complex systems, quantum computing, and algorithmic justice. Moore's primary research areas include phase transitions in computational problems and statistical inference, where he investigates how problems suddenly become hard or impossible to solve when certain thresholds are crossed. His work spans social networks, big data analysis, quantum computing, algorithmic transparency, and decarbonization efforts. He is particularly known for applying physics-inspired approaches to computational problems, using techniques from spin glass theory, network theory, and computational complexity. His recent publications reveal a strong focus on community detection in networks, phase transitions in data science problems, algorithmic fairness in criminal justice systems, and quantum computing applications. Moore's work demonstrates consistent patterns across multiple disciplines, with recurring themes of phase transitions, computational limits, and the application of physics concepts to computational problems. Moore actively mentors students and has advised numerous PhD and Master's students who have gone on to successful careers in academia and industry. His work on algorithmic justice has influenced policy discussions in New Mexico and beyond, particularly regarding risk assessment in the criminal justice system.

Henning Schomerusمشاهده پروفایل

استاد

• Quantum Transport
• Topological Photonics
• Quantum Chaos
• +۵ مورد دیگر

Professor Henning Schomerus is a leading theoretical physicist at Lancaster University , specializing in condensed matter theory with a focus on quantum systems. His research spans topological photonics , non-Hermitian physics , quantum chaos , and mesoscopic transport . He leads the Theory Group and contributes to the Physics Strategy Committee . Education: Dr rer. nat. (University of Essen, 1997) Dipl. Phys. (University of Stuttgart, 1993) Research Interests include: Quantum transport in graphene and topological insulators , exploring disorder effects and quantum pumping Topological lasers and non-Hermitian photonic systems with combined amplification/absorption Quantum chaos and fractal Weyl laws in open systems Many-body localization and quantum noise phenomena Scientific Awards Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Institute of Physics (FInstP) Studenstiftung des Deutschen Volkes Scholarship JSPS Invitational Fellowship DFG Forschergruppe 760 Fellow Teaching encompasses advanced topics in Quantum Mechanics and Quantum Information Processing , with over 15 years of experience in undergraduate and postgraduate instruction.

Sandu Popescuمشاهده پروفایل

استاد

• Quantum Physics
• Quantum Information
• Quantum Entanglement
• +۵ مورد دیگر

Professor Sandu Popescu is a leading theoretical physicist at the School of Physics, University of Bristol. His work spans foundational quantum mechanics, quantum information theory, and thermodynamics, with pioneering contributions to entanglement, non-locality, and the interpretation of quantum phenomena. He is affiliated with the Bristol Quantum Information Institute and collaborates extensively with experimentalists, notably co-designing the first quantum teleportation experiment. His research explores paradoxes in quantum theory to deepen understanding. Key areas include quantum nonlocality, pre- and post-selected states, entangled-photon spectroscopy, and thermodynamic foundations. He has also patented practical quantum technologies. Recent publications focus on conservation laws, quantum Cheshire cats, non-signaling theories, and thermodynamics of quantum systems. Articles from 2025-2018 highlight interdisciplinary trends bridging physics, information theory, and quantum foundations. Scientific Awards: Adams Prize (2001) Clifford Paterson Prize Lecture (2004) Cozzarelli Prize (2016) Popescu engages in media outreach, discussing topics like quantum Cheshire cats and multiverse theory. He actively contributes to theoretical advancements while maintaining experimental collaborations.

Martin Wellsمشاهده پروفایل

استاد

• Statistical Inference
• Bayesian Methods
• Machine Learning
• +۱ مورد دیگر

Martin Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in Social Statistics, Clinical Epidemiology, and Industrial Labor Relations. Since joining Cornell in 1987, he has developed methodologies spanning Bayesian inference, tensor analysis, and machine learning applications in biomedicine and finance. His research integrates statistical theory with computational innovations, particularly in high-dimensional modeling and quantum-inspired algorithms. Recent work focuses on geometric approaches to tensor decomposition, misclassification correction methods, and phylodynamic models incorporating dormancy effects. Professor Wells teaches statistical methodology across disciplines including law, medicine, and biology, adapting analytical frameworks to diverse research contexts. His interdisciplinary collaborations extend to Weill Medical College and the School of Industrial and Labor Relations.

Kyle Luhمشاهده پروفایل

استادیار

• Probability
• Random Matrix Theory
• Randomized Algorithms
• +۲ مورد دیگر

Kyle Luh is an Assistant Professor at the University of Colorado Boulder in the Department of Mathematics, part of the College of Arts and Sciences. His research focuses on probability, random matrix theory, and randomized algorithms. Education: Ph.D. in Mathematics from Yale University (2017) His recent work explores eigenvalue gaps in random matrices, controllability of non-Hermitian systems, and applications to sparse reconstruction. Publications span topics like circular law for block band matrices, Littlewood–Offord inequalities, and stability analysis in quantum walks. Key trends in his research include spectral analysis of random graphs, robustness in learning algorithms, and combinatorial aspects of matrix theory. His articles highlight intersections between pure probability and applied computational methods.

Joseph Leeمشاهده پروفایل

مدرس ارشد

• Commercial Law
• Financial Law
• Blockchain Technology
• +۵ مورد دیگر

Dr Joseph Lee is a Reader in Corporate and Financial Law at the University of Manchester School of Law . Previously, he served as Senior Lecturer at the University of Exeter and Assistant Professor at the University of Nottingham. He directs the Manchester Online LLM in International Commercial and Technology Law and authored key publications including Crypto-Finance, Law and Regulation (2021) and Web3 Governance: Law and Policy (2025). Principal Investigator for UKRI/British Academy-funded projects Holds visiting positions at Bocconi University, KU Leuven, and National Taiwan University Acting Arbitrator in crypto-assets and fintech disputes His research focuses on commercial law intersecting with emerging technologies, including blockchain governance, AI systems in finance, and cybersecurity regulation. Recent work explores decentralized finance (DeFi), token transferability, and Web3 policy frameworks. Dr Lee contributes to the UN Sustainable Development Goals through digital trust initiatives. His projects include the AI Law and Policy: UK, US and EU Comparative Study (2023-2024), and he convenes the Digital Technology, Crime and the Law Conference 2025 .

Annie Antónمشاهده پروفایل

استاد

• Privacy
• Cybersecurity
• Software Engineering
• +۴ مورد دیگر

Annie Antón is a Professor in the School of Interactive Computing at Georgia Institute of Technology. Former Chair of her school, she specializes in privacy, security, software engineering, and public policy. Dr. Antón advises national defense and intelligence entities, including roles in the IDA/DARPA Defense Science Study Group (2005-2006) and the Obama-appointed 2016 Commission on Enhancing Cybersecurity for the Nation. She serves on numerous boards, including NIST Information Security & Privacy Advisory Board, Future of Privacy Forum, and former roles in U.S. DHS Data Privacy Committee and NSF Advisory Council. Her research focuses on aligning software systems with federal privacy/security regulations, emphasizing legal compliance, secure development practices, and IoT privacy challenges. Notable projects include UCON_LEGAL for HIPAA compliance and frameworks for analyzing regulatory requirements. She has contributed to policy implementations via empirical studies on user privacy perceptions and legal text mining. Dr. Antón's work bridges technical and policy domains, addressing ethical AI education, cross-border data governance, and cybersecurity preparedness. Her leadership spans academia, government, and industry through advisory roles at Intel, Microsoft Research, and the Georgia Tech Alumni Board.

• Quantum Thermodynamics
• Stochastic Thermodynamics
• Open Quantum Systems
• +۵ مورد دیگر

Gonzalo Manzano Paule is a Ramón y Cajal tenure-track researcher at IFISC (Instituto de Física Interdisciplinar y Sistemas Complejos), a joint research institute of CSIC (Consejo Superior de Investigaciones Científicas) and UIB (University of the Balearic Islands), where he has been working since January 2023. He previously held a Juan de la Cierva Incorporation fellowship (2021-2023), was an ESQ Postdoc at IQOQI Vienna (2020-2021), and a Postdoc at ICTP Trieste (2018-2020) funded by Scuola Normale Superiore. He obtained his PhD in Physics from Universidad Complutense de Madrid in July 2017, followed by a short Postdoc at IFISC (2017-2018). His research interests focus on quantum and stochastic thermodynamics, open quantum systems, information theory, and the foundations of nonequilibrium statistical physics and quantum mechanics. He is particularly interested in applying concepts from nonequilibrium thermodynamics to understand classical and quantum complex systems. While his work is primarily theoretical, he actively seeks collaborations with experimentalists. His research has been featured in popular science journals including Physics, Quanta Magazine, and Diario de Mallorca. He has also collaborated with artist Evarist Torres to merge art and science and has written a popular science article for Investigación y Ciencia (Scientific American). Manzano Paule's recent publications demonstrate a strong focus on quantum thermodynamics, fluctuation theorems, and quantum information processing. His work spans theoretical foundations of quantum thermodynamics to applications in quantum heat engines and molecular motors. A notable pattern in his research is the exploration of how quantum effects can enhance thermodynamic processes and the relationship between information theory and thermodynamics. His scientific achievements have been recognized through prestigious fellowships including the Ramón y Cajal program, Juan de la Cierva Incorporation fellowship, and ESQ Postdoc fellowship. His work has also garnered attention in popular science media, indicating its broader impact beyond academic circles. As an educator, Manzano Paule supervises Master's students and teaches advanced courses including Open Quantum Systems for the Master's Degree in Advanced Physics and Applied Mathematics and the Master's Degree in Physics of Complex Systems. His teaching portfolio also includes Quantum Collective Phenomena, Quantum and Nonlinear Optics, Thermodynamics, and Atomic and Molecular Physics. He currently leads the research project 'QTD-InFlexity Quantum thermodynamics: information, fluctuations and complexity' and participates in the 'CoQuSy Complex Quantum Systems' project. He is also part of the María de Maeztu Unit of Excellence at IFISC, which has received continuous funding since 2008.

• Optical Solitons
• Quantum Optics
• Nonlinear Chromatic Dispersion
• +۳ مورد دیگر

Dr. Anjan Biswas is a Professor in the Department of Math & Physics at the College of Arts & Sciences. His research focuses on analytical and computational approaches to quantum optics and nonlinear wave propagation. Education: Ph.D. in Mathematics from the University of New Mexico. Metrics: Erdos Number 4, Hirsch Index 111. Research interests center on optical solitons in fibers with linear and nonlinear chromatic dispersion, Lie symmetry analysis for quiescent solitons, and stochastic modeling in photonic systems. His work explores fractional temporal evolution, polarization-mode dispersion, and Kudryashov’s power-law structures. Recent publications highlight advancements in cubic-quartic soliton modeling, dispersion triplet systems, and noise-resilient optical communication frameworks. Studies span Boussinesq-type models, magneto-optic waveguides, and metamaterial applications. Key methodologies include Adomian decomposition, Sardar sub-equation techniques, and Lie symmetry analysis. Applications range from quantum fluid dynamics to internet bottleneck suppression via exotic self-phase modulation structures.