جست‌وجوی استاد و پژوهشگر

Alexey L. Sadovskiمشاهده پروفایل

استاد

• Mathematical Modeling
• Decision Science
• Risk Management
• +۹ مورد دیگر

Dr. Alexey L. Sadovski is a Professor of Mathematics at Texas A&M University-Corpus Christi (TAMUCC) and holds the endowed Ruth Campbell Professorship in Coastal and Marine Sciences. He also serves as Director of the Office for Information Assurance, Statistics, and Quality Control. His affiliations include the Harte Research Institute, and he is part of the Ph.D. faculty in Coastal and Marine System Science. Sadovski has extensive experience in academia, having taught for over 32 years at institutions such as the Moscow Institute of Transport Engineers and the Texas A&M System. Education: M.S. in Applied Mathematics, Moscow Institute of Transport Engineers, College of Automatic and Computing Technology, Moscow, USSR (1974) Ph.D. in Physical and Mathematical Sciences, Academy of Science of the USSR (1979) His research interests span Ecology , Computer and Computation Research , Experimental and Theoretical Geophysics , Sustainable Development , Mathematics Modeling , Decision, Risk, and Management Science , and methodologies including Statistics and Measurement . He applies advanced mathematical frameworks to natural systems and environmental decision-making, leveraging tools like Optimal Control, Stochastic Processes, and Operation Research. With over 70 publications across international journals and conferences, his work emphasizes interdisciplinary approaches to coastal and marine sciences. He has organized multiple international conferences, chaired special sessions, and contributed to academic committees. His teaching spans undergraduate to post-graduate levels, covering core topics such as Calculus, Real Analysis, ODE/PDE, Probability Theory, and Advanced Mathematical Modeling. Advising & Grants: Advises Ph.D. students in Coastal and Marine System Science Chairs academic committees and special sessions No explicit grants mentioned, but extensive conference organization highlights external collaboration Labs/Teams: Affiliated with the Harte Research Institute, focusing on coastal and marine systems research. His work integrates with interdisciplinary teams addressing environmental modeling and sustainable development challenges.

Duarte J. Guerreiro Tomé Antunesمشاهده پروفایل

دانشیار

• Control Theory
• Optimal Control
• Stochastic Control
• +۷ مورد دیگر

Duarte J. Guerreiro Tomé Antunes is an Associate Professor in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e), affiliated with the Control Systems Technology Group and the EAISI Foundational initiative. He holds a PhD in Automatic Control from Instituto Superior Técnico (IST), Lisbon, and has postdoctoral experience at TU/e's Hybrid and Networked Systems group. Education: Licenciatura in Electrical and Computer Engineering (IST, 2005) PhD in Automatic Control (IST, 2011) Research Focus: Specializes in optimal control, stochastic control, and networked control systems. His work addresses challenges in large-scale system optimization (e.g., drone swarms, smart grids) and event-triggered control strategies for cloud-connected systems. Recent interests include robotics, particularly quadcopter dynamics. Key Contributions: Pioneered methods for reducing the 'curse of dimensionality' in high-dimensional control systems. Developed event-triggered algorithms for energy-efficient cloud-based control and stability analysis frameworks for networked systems with data losses. Awards: IEEE Control Systems Letters Outstanding Paper Award (2019) Teaching & Supervision: Teaches optimal control, dynamic programming, and robotics courses. Supervised 47 academic works to date. Active in TU/e's Cyber-Physical Systems and Systems Engineering research area.

• Automatic Control Systems
• Algebraic and Geometric Analysis Methods
• Computer Aided Design (CAD) of Control Systems
• +۵ مورد دیگر

Giannakoudakis Aristotle is a full Professor at the Department of Electrical Engineering, TEI of Crete. His expertise spans Automatic Control Systems, CAD for control systems design, and mathematical theories including Matrix and Invariant Theory. He has contributed to research on petrochemical processes and wind energy systems. Education: Graduated in Mechanical and Electrical Engineering (1976, NTUA, Athens), Control Systems Engineering (1978, INP Grenoble), and holds a PhD (1982, INP Grenoble) in Automatic Control. Research interests emphasize algebraic/geometric analysis, system synthesis, and computational algorithms for control problems. He has engaged in applied projects for industrial and renewable energy sectors. No scientific awards or grants are explicitly mentioned in the provided text. No advising students or lab affiliations are listed.

Mohamed Abdalmoatyمشاهده پروفایل

پژوهشگر

• Data-Driven Modelling
• Control Systems
• Signal Processing
• +۵ مورد دیگر

Dr. Mohamed Abdalmoaty is a Researcher at ETH Zürich's Institut für Automatik, specializing in the Department of Automatic Control. His work focuses on Data-Driven Modelling and Control , with expertise in system identification, stochastic systems, and optimal control. He holds an affiliation within the Professorship for Complex Systems Control. His research interests emphasize data-driven approaches for predictive control, frequency-domain identification, and nonlinear dynamical systems. He has contributed to advancements in Kalman filter formulations, stochastic Wiener models, and cybersecurity in control systems, particularly in medical applications like the artificial pancreas. Abdalmoaty’s recent publications (2022–2024) highlight innovations in time-varying normalizing flows, privacy-preserving network control, and robust parameter estimation under uncertainty. His work bridges theoretical control systems with practical applications in machine learning and biomedical engineering. He has developed software tools for system identification and simulation, including implementations for frequency-domain analysis and nonparametric closed-loop identification. His research aligns with emerging trends in hybrid machine learning-control frameworks and resilient cyber-physical systems.

• Control Systems
• Degradation Modeling
• Prognostics and Health Management
• +۳ مورد دیگر

MME Yufei GONG is an academic affiliated with the Université Technologique de Troyes (UTT), where she holds a position in the Department of Automatic Control and Systems Engineering. Her research focuses on advanced control systems engineering, with particular emphasis on degradation modeling, prognostics, and stochastic processes in feedback control systems. She is actively involved in supervising PhD students and contributes to the university's research directory. Her work integrates machine learning techniques with traditional control theory to address challenges in system reliability and fault tolerance. Key research areas include stochastic degradation indices, remaining useful life (RUL) estimation, multi-agent systems, and fractional-order control. Dr. Gong has published extensively in top-tier journals since 2019, with notable contributions to predictive maintenance and resilient control system design. Her academic profile reflects a strong background in both theoretical and applied aspects of automatic control systems engineering.

Daniel Quevedoمشاهده پروفایل

استاد

• Networked Systems
• Cyberphysical systems
• Cyberphysical Security
• +۳ مورد دیگر

Prof. Daniel Quevedo is a Professor in Cyberphysical Systems at the School of Electrical Engineering and Robotics, Queensland University of Technology (QUT). He previously led the Chair in Automatic Control at Paderborn University, Germany. He holds a PhD from the University of Newcastle (Australia) and degrees from Universidad Técnica Federico Santa María (Chile). His research focuses on networked cyberphysical systems, cybersecurity, and model predictive control, with over 240 publications and three patents. He has attracted over $2M in research funding and is a Fellow of the IEEE. His work emphasizes cross-disciplinary collaboration in fields like power electronics, telecommunications, and behavioral economics. Educations: PhD in Automatic Control (2005), University of Newcastle, Australia M.Sc. and B.Eng. (2000), Universidad Técnica Federico Santa María, Chile Research Interests: Prof. Quevedo’s work bridges theoretical systems control with practical applications. Key areas include networked cyberphysical systems, cybersecurity (e.g., deception attacks, privacy preservation), and energy-efficient control strategies. His contributions span event-triggered control, encrypted cooperative systems, and power converter optimization. He collaborates globally with institutions like ABB, TU Berlin, and Indian Institute of Technology Bombay. Grants & Awards: Notable grants include DFG-funded projects on network-informed control and ARC grants on predictive control. His 2018 IEEE Axelby Award highlights his impact on systems control theory. He has also held visiting professorships and editorial roles for journals like IEEE Transactions on Automatic Control. Teaching & Supervision: At Paderborn University, he modernized control systems curricula, integrating blended learning and industry-relevant projects. He has supervised over 10 PhD/MSc theses and mentored postdoctoral researchers in areas like cyber-physical security and distributed control. Labs & Teams: He is affiliated with QUT’s Centre for Robotics, focusing on interdisciplinary robotics and cyberphysical systems research.

• Intelligent Sensor Systems
• Biomedical Engineering
• Automotive Systems
• +۵ مورد دیگر

Farid Golnaraghi is a Professor and Graduate Student Supervisor in the School of Mechatronic Systems Engineering at Simon Fraser University. He holds a Ph.D. from Cornell University (1988) and B.Sc./M.Sc. degrees from Worcester Polytechnic Institute (1982). His research focuses on intelligent sensor systems applied to biomedical and automotive systems, smart materials, vibration control, and nonlinear dynamics. He teaches courses in dynamics, control systems, and mechatronics design, including ENSC 282 (Kinematics), ENSC 384 (Mechatronics Design II), and ENSC 800 (Nonlinear Vibrations). Education: Ph.D., Cornell University (1988); B.Sc./M.Sc., Worcester Polytechnic Institute (1982) His research interests integrate advanced sensing technologies with mechanical systems, emphasizing practical applications in automotive and biomedical engineering. Recent work includes studies on solenoid valve active engine mounts, electromagnetic shock absorbers for vehicle suspension, and multi-camera vision navigation systems. He has authored influential textbooks such as Automatic Control Systems (9th ed., Wiley, 2009) and contributed to Springer's analysis of friction-induced vibrations in lead screw drives (2010).

Regino Criadoمشاهده پروفایل

استاد

• Complex Networks
• Discrete Mathematics
• Cybersecurity
• +۴ مورد دیگر

Dr. Regino Criado is Full Professor of Applied Mathematics at Rey Juan Carlos University (URJC), where he has held academic positions since June 2000. He currently serves as Academic Director of the Data, Complex Networks and Cybersecurity Sciences Institute (since March 2017) and was elected to the Academia Europaea in May 2023. His career spans European research projects (ESPRIT II/III) and interdisciplinary collaborations at the intersection of mathematics, computer science, and cybersecurity. His research focuses on Complex Networks , including hyper-networks, multiplex networks, and mesoscale structures, with applications to cybersecurity, intentional risk management, and synchronization phenomena. Key innovations include: A game theory-based intentional risk model integrating accessibility, anonymity, and value metrics Hybrid network mining algorithms for credit card fraud detection PageRank extensions to multiplex networks Framework for discrete resilience analysis in technological systems His work on the 2014 Physics Reports monograph The structure and dynamics of multilayer networks (3,500+ citations) established foundational concepts in multilayer network theory. Current research explores linguistic pattern analysis through multilayer hypergraphs for automatic text summarization. Member of Academia Europaea (2023) Chaos Journal Best Paper Award (2011) Academic Entrepeneurs Prize (2002) EUROPA-1992 Prize (1992) As director of the DCNC Institute (2017-present) and BBVA-URJC Chair (2017-2018), he has led major academic-industry collaborations. His 180+ publications (6,500+ citations) demonstrate sustained impact across network science, applied mathematics, and cybersecurity.

Mikko Heiskalaمشاهده پروفایل

پژوهشگر

• Mass Customization
• Platform Ecosystems
• Network Externalities
• +۴ مورد دیگر

Mikko Heiskala is a Researcher at Aalto University in the Department of Industrial Engineering and Management within the School of Science . His research focuses on platform ecosystems, network externalities, mass customization, and digital servitization. He holds a Master's degree in Engineering and Technology from the Helsinki University of Technology . His work contributes to UN Sustainable Development Goals, particularly in education and sustainable development. He has been recognized for his teaching excellence with multiple awards, including the 2nd Best Course in the Department of Computer Science (2024) and other accolades between 2017–2021. His research explores strategic dynamics in managed ecosystems, boundary resources, and the interplay between purpose and profit in corporate decision-making, exemplified by the BalticSeaH2 hydrogen valley case . Heiskala actively engages in academic activities, serving as a reviewer for journals like California Management Review and conferences such as the Academy of Management Annual Meeting . His work bridges theoretical frameworks (e.g., Boundary Resources View) with practical applications in platform governance and innovation ecosystems.

• Cybersecurity
• Privacy
• Data management
• +۴ مورد دیگر

Dr. Wanlun Ma is a Postdoctoral Research Fellow at the School of Science, Computing and Emerging Technologies , Swinburne University of Technology . He earned a Bachelor's and Master's in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC) in 2017 and 2020, respectively, followed by a Ph.D. in Computer Science from Swinburne University of Technology in 2024. His research focuses on Trustworthy and Responsible AI , particularly in adversarial machine learning, network security, and privacy preservation. Education B.E., M.E. in Information and Communication Engineering, UESTC (2017, 2020) Ph.D. in Computer Science, Swinburne University of Technology (2024) Research Interests Trustworthy AI systems Adversarial machine learning Network security and privacy AI ethics and accountability Grants Australian Research Council (ARC) grant (2025-2029) for AI Models for Digital Manufacturing Supervision Available to supervise Ph.D. candidates

Robert Collinsonمشاهده پروفایل

استادیار

• Housing Policy
• Urban Policy
• Anti-Poverty Programs
• +۳ مورد دیگر

Robert Collinson is the Wilson Family LEO Assistant Professor in the Department of Economics at the University of Notre Dame and a core faculty member at the Wilson Sheehan Lab for Economic Opportunities (LEO). His research focuses on housing policy, urban policy, and the design of anti-poverty programs. He holds a Ph.D. from New York University (2019), an M.P.P. from the University of Chicago (2009), and a B.A. from the College of Wooster (2007). Collinson is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER), a Research Affiliate at IZA, and part of the Human Capital and Economic Opportunity (HCEO) Network. His work examines topics such as eviction's impact on children, long-term effects of desegregation programs, and the efficacy of rental assistance during crises. He advocates for evidence-based policy to improve housing stability and reduce poverty. Collaborations with organizations like LEO, NBER, and IZA highlight his commitment to interdisciplinary research with real-world applications.

Daniele Tollerمشاهده پروفایل

استادیار

• Algebraic Topology
• Control Systems
• Mathematical Biology
• +۵ مورد دیگر

Daniele Toller is an Assistant Professor in the Department of Computer Science at Aalborg University, Denmark. His affiliation is with The Technical Faculty of IT and Design, where he contributes to research and teaching in computer science and related interdisciplinary areas. His research focuses on algebraic topology, control systems, mathematical biology, and abstract algebra. He explores topics such as cellular automata dynamics, topological entropy, and the interplay between algebraic structures and topological properties. Notably, his work bridges pure mathematics with applications in systems biology and engineering, particularly in optimizing complex networks and chemical reaction systems. Recent research trends include studies on optimal control strategies for complex networks, reduction techniques for chemical reaction networks, and the algebraic entropy of linear cellular automata. His contributions to group theory, including work on Zariski and Markov topologies, reflect a deep engagement with foundational mathematical structures. Dr. Toller's publications span journals and conferences in mathematics and computer science, addressing both theoretical advancements and practical applications. His work has been recognized through collaborations with institutions worldwide and contributions to prestigious venues such as the IEEE Transactions on Automatic Control and the Journal of Group Theory.

Olivia Afonsoمشاهده پروفایل

مدرس ارشد

• Cognitive Neuroscience
• Developmental Psychology
• Written Language Production
• +۵ مورد دیگر

Dr. Olivia Afonso is a Senior Lecturer in Psychology at the School of Psychology, Social Work and Public Health at Oxford Brookes University. She holds a BSc in Psychology and a PhD in Cognitive Neuroscience and Education. As Year 1 Lead for the BSc Psychology program, she teaches modules including 'Introduction to Psychological Research' and 'Topics in Developmental Psychology,' while supervising MSc and PhD students. Her research focuses on written language production, particularly spelling processes and handwriting cognition in both typical and atypical populations, including dyslexia, aging, and bilingualism. She leads the Writing Lab and collaborates with the SRUK/CERU research network. Her research investigates cognitive processes underlying spelling and handwriting, comparing handwriting vs. typewriting, and analyzing online measures like pen pressure and writing duration. Notable projects include evaluating AI reading assistants in Northern Ireland (funded by the Department of Education) and studying handwriting development in children with dyslexia. She has published extensively in journals like Brain and Cognition , Journal of Learning Disabilities , and Cognitive Science . Professional Memberships: Fellow of HEA, European Literacy Network, EARLI Writing SIG, National Handwriting Association Executive Committee, BPS Cognitive Section Executive Keynote Talks: 'Influences of spelling on handwriting speed' (National Handwriting Association, 2021), 'How we learn to write' (Royal Society of Medicine, 2021) Dr. Afonso's work bridges cognitive science and education, addressing practical applications for literacy support and neurorehabilitation. Her studies often employ cognitive-kinematic analysis to link high-level language processing with motor execution during writing.

Yagiz Aksoyمشاهده پروفایل

استادیار

• Computational Photography
• Computer Graphics
• Image Editing
• +۵ مورد دیگر

Yağız Aksoy is an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), leading the Computational Photography Lab. His research focuses on inverse rendering and computational photography, aiming to enable 3D physical control over light and geometry in image editing and movie post-production. His work is funded by NSERC, CFI, BC government, Adobe Research, and Meta Reality Labs. Education: PhD in Computer Science, ETH Zurich (2019), supervised by Marc Pollefeys. Postdoctoral research at MIT CSAIL with Wojciech Matusik and Disney Research Zurich. MSc in Computer Engineering, Middle East Technical University (2013). Research Interests: His lab develops physically-based methods for relighting, intrinsic image decomposition, HDR reconstruction, and monocular depth estimation. Recent breakthroughs include Physically Controllable Relighting (SIGGRAPH 2025) and Colorful Diffuse Intrinsic Decomposition (SIGGRAPH Asia 2024, Best Paper Honorable Mention). Grants & Awards: Best Paper Award Honorable Mention at SIGGRAPH Asia 2024. NSERC Discovery Grant, CFI John R. Evans Leaders Fund, and BC Early Career Research Award. Industry partnerships with Adobe and Meta. Students & Lab: Supervises PhD/MSc students including Chris Careaga, Sebastian Dille, and Mahdi Miangoleh. The lab's Computational Photography Studio operates in a production environment, emphasizing real-world applicability. Active projects include RGB+NIR editing, dynamic scene rendering, and physically-aware compositing tools.

Narender Ramnaniمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroplasticity
• +۳ مورد دیگر

Narender Ramnani is a Professor of Neuroscience and Vice Dean for Equity, Diversity, and Inclusion at the School of Life Sciences and the Environment, Royal Holloway, University of London. He also directs the new Centre for Decision Science in the Department of Psychology. His research focuses on brain systems organization, neuroplasticity mechanisms, and their roles in cognitive and motor control across the lifespan, using fMRI, eye tracking, and analytical techniques funded by BBSRC. External roles include serving as President Elect of the British Neuroscience Association (2023–2025), member of the Parliamentary and Scientific Committee’s Council, and Governance Committee member of Advance HE’s Race Equality Charter. His work contributes to UN Sustainable Development Goals related to health and education equity. Key awards include Honorary Lifetime Membership from the British Neuroscience Association (2022). Research highlights include studies on prefrontal cortex contributions to social decision-making and cerebellar motor/non-motor topography. Supervised projects include studies on oculomotor learning, ageing brains, and driver behavior, funded by BBSRC and TRL Ltd.