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Stefan KrastanovView profile

Assistant Professor

• Quantum Hardware Design and Control
• Resilient Noisy Quantum Circuits
• Entanglement and Quantum Networking
• +3 more

Stefan Krastanov is an Assistant Professor at the University of Massachusetts Amherst, focusing on quantum hardware design, control, and optimization across multiple layers of quantum computing and networking technologies. His work bridges physical hardware descriptions with logical circuit compilation, emphasizing resilience in noisy quantum systems. Research Interests include Quantum Hardware Design, Entanglement-Based Networking, Quantum Error Correction, and Modeling Software for Quantum Systems. His primary lab is the Quantum Information Lab , with affiliations to the Advanced Classical and Quantum Information Research Lab. Recent work trends highlight advancements in quantum repeater networks, error-corrected compilation, and photonic neural networks. His publications span topics like non-Markovian dynamics simulation, NP-hard optimization in quantum dot arrays, and scalable spin quantum memory control. Labs and Teams: Quantum Information Lab (leading experimental/theoretical work) and collaborations through the Advanced Classical and Quantum Information Research Lab.

Thom de VriesView profile

Associate Professor

• Team Management
• Organizational Resilience
• Boundary Spanning
• +4 more

Thom de Vries is an Associate Professor at the University of Groningen's Faculty of Economics and Business, based in the HRM & Organizational Behavior department. He also serves as Program Director for the Master of Science in Human Resource Management and holds a lecturer position in Industrial Engineering Management. His expertise focuses on organizational resilience, team boundary spanning, and infrastructure management. He holds a Ph.D. in Business Administration (cum laude) from the University of Groningen (2015), with prior experience as a Business Researcher at TNO and academic leadership roles in program committees. Education highlights include: Ph.D. in Business Administration (cum laude), University of Groningen (2015) Res. M.A. and M.A. in Business Administration (cum laude), University of Groningen (2011, 2009) B.A. in Public Administration, Thorbecke Academie (2007) Research interests emphasize team dynamics in complex environments, particularly: Resilience and adaptability in critical infrastructure organizations Boundary spanning across teams/organizations Design of multiteam systems for complex tasks Disruption management in supply chains Notable projects include the NGinfra-funded ConCorCom initiative studying coordination during infrastructure challenges, and NWO grants exploring resilience and decision-making under uncertainty. His work has earned awards like the Academy of Management Best Paper Award and multiple teaching recognitions. Grants include: NGINFRA/NWO: ConCorCom (Context, Coordination, Competencies) NWO VENI: Team Boundary Spanning in Disruptions NWO: Resilience-Efficiency Balance in Planning Teaching roles span disciplines including Organizational Behavior, Survey Research, and Experimental Design across faculties. He actively supervises research master students and contributes to executive education programs.

• Multi-Agent Systems
• Distributed Optimization
• Network Control
• +1 more

Guodong Shi is Associate Professor at the University of Sydney's Australian Centre for Robotics, heading the Centre for Robotics and Intelligent Systems. His research develops theoretical frameworks for multi-agent coordination, distributed optimization, and networked control systems. Current projects investigate collective decision-making under information constraints, privacy-preserving optimization, and game-theoretic formulations for social and robotic networks. His group develops algorithms for distributed solution of linear equations, Boolean networks, and equilibrium seeking. Doctoral supervision includes projects on acrobatic legged robots, reinforcement learning for robotic stability, and safe control under dynamic environments. Laboratory capabilities support theoretical and experimental validation. Research has applications in autonomous swarm robotics, smart grid optimization, and social network analysis. Teaching includes graduate courses on networked systems and optimization.

Inna FishmanView profile

Associate Professor

• Autism Spectrum Disorders
• Developmental Neuroscience
• Brain Imaging
• +3 more

Inna Fishman, Ph.D., is a Research Associate Professor at San Diego State University's Department of Psychology within the College of Sciences. Her research investigates brain network organization in autism spectrum disorder (ASD) using multimodal MRI techniques, focusing on developmental trajectories from toddlerhood to adulthood. She directs studies on sensory processing, socioeconomic influences, and neural connectivity patterns in ASD. Research Focus: Dr. Fishman's work bridges social neuroscience and clinical neuropsychology, examining: Early biomarkers of ASD via functional/diffusion MRI Impact of bilingualism and socioeconomic factors on neurodevelopment Sleep disorders and sensory sensitivities in autistic children Aging-related neural changes in adults with ASD Publication Trends: Her recent articles (2021-2025) emphasize: 1) Advanced neuroimaging of ASD across lifespan stages, 2) Machine learning applications for diagnostics, 3) Socioeconomic and environmental modulators of brain development, and 4) Sleep/auditory processing comorbidities. Student Advising & Grants: She mentors doctoral candidates (Lindsay Olson, Jiwandeep Kohli, Bosi Chen) and leads NIH-funded projects including a clinical psychology fellowship for autism evaluation across ages. Laboratory Affiliation: Dr. Fishman co-directs the Brain Development Imaging Laboratories (BDIL), which investigates ASD manifestations through behavioral and neuroimaging approaches.

Süli EndreView profile

Professor

• Free-discontinuity problems
• Computational modelling of fracture
• Quasi-continuum methods
• +10 more

Endre Süli is a Professor of Numerical Analysis at the University of Oxford, affiliated with Worcester College and Linacre College. He has held various academic roles since 1985, including Fellowships and Tutorships in Mathematics. University Education: B.Sc. in Mathematics, University of Belgrade (1974-1978) M.Sc. in Mathematics, University of Belgrade (1978-1980) Ph.D. in Mathematics, University of Belgrade (1985) M.A., University of Oxford (1985) British Council Visiting Student, Reading University and University of Oxford (1983/84) Süli's research focuses on numerical methods for partial differential equations (PDEs), with expertise in finite element methods, adaptive algorithms, error control, and computational modeling of fractures and non-Newtonian fluids. His work bridges mathematical theory and practical applications in fluid dynamics and material science. His recent publications emphasize finite element approximations, nonlinear PDEs, and stochastic models for polymer dynamics. Themes include multiscale methods, tensor-sparsity for high-dimensional problems, and compressible flow simulations. Scientific Awards: Fellow of the Royal Society (2021) London Mathematical Society Naylor Prize and Lectureship (2021) Pro Urbe Prize, City of Subotica (2021) SIAM Fellow (2016) Member, Academia Europaea (2020) Foreign Member, Serbian National Academy of Sciences and Arts (2009) IMA Service Award (2011) Fellow, European Academy of Sciences (EurASc) (2010) Fellow, Institute of Mathematics and its Applications (2007) London Mathematical Society/New Zealand Mathematical Society Forder Lecturer (2015) Professor Hospitus, Charles University, Prague (2012) Distinguished Visiting Chair Professor, Shanghai Jiao Tong University (2013) Invited Speaker, International Congress of Mathematicians, Madrid (2006) Süli has supervised numerous research projects and held visiting appointments globally. His contributions to numerical analysis span foundational work on error estimation, nonlinear stability, and advanced computational frameworks for complex physical systems.

Diogo Carbonera LuvizonView profile

Researcher

• Computer Vision
• Computer Graphics
• Deep Learning
• +4 more

Diogo Carbonera Luvizon is a Researcher at the Max-Planck-Institut für Informatik (MPI-INF) in Saarbrücken, Germany, and a member of the Visual Computing and Artificial Intelligence (VIA) Research Center. He holds a PhD in Computer Vision and Machine Learning from CY Cergy Paris University (2019), and Bachelor's and Master's degrees in Engineering and Applied Computing from UTFPR, Brazil. His research focuses on solving complex problems in Computer Vision, Computer Graphics, and Deep Learning, particularly in human modeling and real-time systems. Education: PhD (2019) - CY Cergy Paris University; M.Sc. (2015) - UTFPR; B.Sc. (2011) - UTFPR. Research interests include 3D human pose estimation, action recognition, multitask learning, and novel view synthesis. He has contributed to patents on multiplane image generation (Samsung) and vehicle speed measurement systems. His work has been recognized with awards like the Best Paper Honorable Mention at GCPR-VMV 2022 and Best Presentation Award at ETIS Lab (2018). He has developed open-source tools, including the deephar repository for human action recognition and pose estimation. His current affiliations include MPI-INF and the VIA Research Center, a partnership between MPI-INF and Google.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +11 more

Jianhua Zhang is a Professor of Computer Science and founding deputy head of the AI Lab at the Department of Computer Science, OsloMet - Oslo Metropolitan University, Norway. He holds affiliations with the Faculty of Technology, Art and Design. His career includes roles as Scientific Director at Vekia (France), Head of Machine Learning Lab, and Professorships at East China University of Science and Technology and Beijing University of Technology. He has held visiting positions at TU Berlin, TU Dresden, and the University of Catania. Educations: PhD in Electrical Engineering and Information Sciences (Ruhr University Bochum, 2005), Postdoctoral Research at the University of Sheffield (2005-2006). Research focuses on artificial intelligence, computational intelligence, cognitive human-machine systems, neuroergonomics, affective computing, and AI-driven neuroergonomics. Applications span engineering, biomedicine, finance, and business. He has led over 20 large-scale projects and published extensively (4 books, 13 chapters, ~200 papers). Leadership roles include Chair of IFAC Technical Committee on Human-Machine Systems (2017-2023), Vice Chair of IEEE Norway Section, and editorial roles at journals like Frontiers in Neuroscience and Cognitive Neurodynamics . He organized major conferences like IFAC HMS2025 (Beijing) and ICMLT 2024 (Oslo). Awards: Stanford/Elsevier Top 2% Scientists (2023/2024), Senior Research Fellowship (CSC, 2012), Max Planck Fellowship (2011), Shanghai Pujiang Talent (2007), DAAD Scholarship (2002-2004). Grants and advising: PI for 20+ projects, advising PhD students in AI, machine learning, and control systems. Teaching includes courses on computational intelligence, IoT, and fuzzy systems at both undergraduate and graduate levels. Labs/Teams: AI Lab at OsloMet, Machine Learning Lab (Vekia), and collaborations with institutions globally. Current work emphasizes AI ethics, neuroergonomics in smart cities, and adaptive human-machine systems.

Junier OlivaView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Nonparametric Statistics
• +8 more

Junier Oliva is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill and Lead Faculty of the Master of Applied Data Science program. His research focuses on machine learning, artificial intelligence, and nonparametric statistics, particularly in high-dimensional density estimation, sequential modeling, and learning from complex/structured data. He holds a B.S., M.S., and Ph.D. in Computer Science from Carnegie Mellon University, with prior industry experience at Yahoo! and Uber ATG. Research Interests: Machine learning, artificial intelligence, nonparametric statistics, deep learning, statistical data mining, signal processing, kernel methods, and scalability. His work bridges machine and human learning via collective approaches, emphasizing simple yet flexible models for massive datasets. Awards/Grants: $592K AIM-AHEAD/NIH Grant for Human+AI Collaboration $594K NSF Grant for Scientific Discovery $500K NSF Grant for 'Machine Detectives' Project ACM BCB Best Paper Award (2022) for transparent single-cell classification work Labs/Teams: Director of the LUPA Lab, which develops machine learning techniques for holistic data understanding across domains like healthcare, earth science, and computer vision.

• Human Resource Management
• Online Labor Platforms
• Gig Economy
• +3 more

Professor Anne Keegan is a Full Professor of International Human Resource Management at University College Dublin (UCD), leading the HRM and Employment Relations Group within the School of Business. She previously held roles at the Amsterdam Business School and Erasmus University Rotterdam, and completed her PhD at Trinity College Dublin. Her research focuses on HRM in online labor platforms, gig economies, project-based organizations, and institutional/paradox theories. Education: Bachelor of Arts (BA), Trinity College Dublin Doctor of Philosophy (DPhil), Trinity College Dublin Research Interests: HRM in digital labor platforms and gig economies Institutional complexity and paradox theory applications HR practices in project-based organizations Career dynamics in non-traditional work environments Awards: EGOS Award in Honour of Max Boisot (2014) Van der Schroeff Award for Best Lecturer (2013) Professional Activities: Editorial Board roles for International Journal of Human Resource Management and International Journal of Project Management Committee memberships: UCD Academic Council, Faculty Promotions Committee, Widening Participation initiatives Keynote speaker at NEON Annual Conference (2019) Grants: UCD School Funded Research Account (2024-2027) Labs/Teams: Leading research on algorithmic management, platform ecosystems, and gig economy ethics through collaborative international projects.

Arthur BousquetView profile

Associate Professor

• Applied Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +3 more

Arthur Bousquet is an Associate Professor of Mathematics at Lake Forest College, affiliated with the Math and Computer Science department. He holds a PhD in Applied Mathematics from Indiana University (Bloomington, IN) and a MS in Engineering in applied mathematics and scientific computing from SuP Galilee Engineering School (Paris, France). His research focuses on numerical methods for partial differential equations, including finite volume and finite element techniques, with applications to geophysical fluid dynamics, climate modeling, and biomedical problems like viral shell mechanics. Notable areas include shallow water equations, phase field modeling, and computational methods for atmospheric dynamics. Bousquet has published extensively on topics such as numerical weather prediction, electrokinetic equations, and virus nanoindentation modeling. His work often combines theoretical analysis with computational simulations to address complex systems in fluid dynamics and materials science. He has received the Rothrock Award for teaching excellence (2014) and held research fellowships including an NSF Graduate Fellowship (2009-2013). His teaching includes courses like Computational Mathematics, Multivariable Calculus, and Real Analysis.

• Sustainable Urban Development
• Strategic Urban Design
• Urban Sustainability Indicators
• +3 more

Dr. Abbas Ziafati Bafarasat is a Chartered Town Planner and Senior Lecturer in Town Planning at Oxford Brookes University, managing the Certificate in Spatial Planning Studies. He holds a PhD in Planning & Landscape from the University of Manchester (2015) and conducted postdoctoral research at TU Dortmund, Germany. His expertise spans five national contexts, with a focus on strategic urban design, sustainable cities, and policy integration. He has supervised numerous Master’s and doctoral students and transitioned from private practice to academia. Education: PhD in Planning & Landscape, University of Manchester (2015) Postdoctoral studies at TU Dortmund, Germany MA in City & Regional Planning, AD in Law, BSc in Geography Research Interests: His research focuses on achieving healthy and sustainable cities through frameworks like strategic urban design and behavioral sustainability indicators. He pioneered concepts such as 'start-it-yourself urbanism' and developed a 99-indicator system for healthy cities. His work emphasizes policy integration, regional governance, and community-driven solutions. Advising & Grants: Supervised successful completion of doctoral and Master’s theses External examiner for postgraduate programs Labs/Teams: He contributes to the Planning, Policy and Governance (PPG) research group at Oxford Brookes, focusing on urban sustainability and policy innovation.

• Biofabrication
• 3D Bioprinting
• Hydrogels
• +6 more

Associate Professor Khoon Lim is a biomedical engineer specializing in polymer chemistry and biomaterials, affiliated with the School of Medical Sciences at the University of Sydney. He holds a PhD in Biomedical Engineering from UNSW Sydney and has conducted postdoctoral research at the University of Otago. His research focuses on hydrogels for tissue engineering, 3D bioprinting, and regenerative medicine, with over $8M in grant funding. Lim leads the Light Activated Biomaterials (LAB) research group and is a member of prestigious organizations like the Australasian Society for Biomaterials and Tissue Engineering. Education: BE (Chemical Engineering, Hons 1) and ME (Biomedical Engineering) from UNSW Sydney, followed by a PhD in Biomedical Engineering (2014). Postdoctoral fellowship at University of Otago Christchurch (2019). Research Interests: Biofabrication, 3D bioprinting, hydrogels for tissue regeneration, cardiovascular applications, and chronic disease management. Current projects include developing bioinks for functional tissues, smart delivery systems for growth factors, and cancer models for drug screening. Key Achievements: ARC Future Fellow (2022), Rutherford Discovery Fellowship (2021), and over 170 publications in journals like Advanced Materials and Biofabrication . Holds patents in hydrogel technologies. Leadership Roles: President of ASBTE, Board Member of ISBF, and editorial board positions in journals such as RSC Biomaterials Science . Active in translational research through collaborations in Australia, New Zealand, Europe, and Asia.

• Mathematical Biology
• Algebraic Geometry
• Dynamical Systems
• +3 more

Anne J. Shiu is a Professor in the Department of Mathematics at Texas A&M University. She holds a Ph.D. in Mathematics (2010) from the University of California Berkeley with advisors Bernd Sturmfels and Lior Pachter. Her career includes postdoctoral positions at Duke University (2010-2011) and the University of Chicago (2011-2014), followed by a faculty role at Texas A&M since 2014. Research Focus: Algebraic, geometric, and combinatorial approaches to mathematical biology, specializing in biochemical dynamical systems, neural coding, parameter identifiability, algebraic statistics, and genomics. Academic Contributions: Over 15 recent publications spanning identifiability in compartmental models, multistationarity in reaction networks, convexity analysis of neural codes, and algebraic robustness in biochemical systems. Scientific Recognition: Association of Former Students Distinguished Achievement College-Level Award in Teaching (2019) Invited speaker for Ethel Ashworth-Tsutsui Memorial Lecture (2018-2019) Current Research: Investigates structural identifiability in biological models, focusing on compartmental systems, reaction networks, and neural codes through algebraic methods and computational tools. Her work bridges abstract algebra with practical biological applications, including parameter estimation and robustness analysis. Grant Support: Recipient of NSF CAREER award (2018-2023), prior NSF grants (2010-2017), and Simons Foundation Collaboration Grant (#521874, 2017-2018). Academic Leadership: Organized multiple international workshops/conferences including SIAM conferences and Banff workshop. Currently an Associate Editor for SIAM Journal on Applied Mathematics and serves on the AIM Scientific Research Board.

Igor MezićView profile

Professor

• Bioengineering
• Systems Biology
• Dynamic Systems and Control
• +7 more

Igor Mezić is a Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara. His research focuses on operator-theoretic analysis of nonlinear dynamical systems, with applications in microfluidics, nanotechnology, and biotechnology. He holds affiliations with the Institute for Collaborative Biotechnologies and the California Nanoscience Institute. Education: MS in Mechanical Engineering, University of Rijeka, Croatia PhD in Mechanical Engineering, California Institute of Technology Research Interests: Mixing and separation in fluids, particle dynamics at micro/nano scales, Atomic Force Microscope (AFM) dynamics, and complex systems theory. His work bridges physical phenomena with mathematical modeling for device design and improvement. Awards: Early Career Award (NSF) Alfred P. Sloan Fellowship George S. Axelby Award (IEEE) United Technologies Special Achievement Prize J.D. Crawford Prize (SIAM) Advising & Grants: Supported by NSF Early Career Award. Active in mentoring through interdisciplinary research groups focusing on fluid dynamics and nanotechnology. Labs & Teams: Leads research through the Mezić Group (mgroup.me.ucsb.edu), collaborating on projects spanning microfluidic systems, biotechnology applications, and multiscale dynamics.

• Ultrafast Lasers
• Laser-Matter Interactions
• Materials Science
• +4 more

F. Ömer Ilday is a distinguished physicist and Alexander von Humboldt Professor at Ruhr University Bochum since July 2023, holding a joint appointment in the Faculty of Electrical Engineering and Information Technology and Faculty of Physics and Astronomy. His pioneering work in ultrafast laser technology has transformed non-linear laser-matter interactions, with applications spanning precision manufacturing, medical surgery, and nanofabrication. Education: PhD in Physics, Cornell University (2003) Postdoctoral Research Scientist, Massachusetts Institute of Technology (2003-2005) Ilday's research centers on ultrafast laser development and materials science, focusing on GHz-repetition-rate burst-mode systems, nonlinear laser lithography, and self-organization phenomena. His interdisciplinary approach bridges photonics, plasma physics, and materials engineering to enable breakthroughs in nanostructuring, silicon processing, and laser-based manufacturing. Current work emphasizes developing high-power laser sources and exploring fundamental laser-matter interaction mechanisms for next-generation applications. His recent publications (2023-2025) reveal dominant trends in high-repetition-rate burst-mode lasers (up to 50 GHz), ablation efficiency optimization, and nonlinear laser lithography for 3D silicon structuring. These works demonstrate strong convergence between fundamental physics and industrial applications, particularly in medical surgery, nanofabrication, and materials synthesis, with increasing emphasis on self-organization principles in laser systems. Scientific awards: Turkish Academy of Sciences Outstanding Young Scientist Award (2006) Marie Curie International Reintegration Grant (2006) ERC Consolidator Grant (2014) - Turkey's first ERC Advanced Grant (2022) Election to Academia Europaea Election to Turkish Academy of Sciences Membership in Turkish and American Physical Societies Ilday has secured major competitive grants including two ERC awards and a Marie Curie fellowship, directing research teams at Bilkent University's Ultrafast Optics & Lasers Laboratory (UFOLAB) which developed technologies adopted globally. At RUB, he is establishing the Center for Complex Laser-Matter Interactions as an interdisciplinary hub fostering collaborations between photonics, plasma research, and materials science, with explicit goals for spin-off company formation and transdisciplinary innovation in manufacturing technologies. As founding director of UFOLAB at Bilkent University, Ilday developed laser systems deployed by research institutions worldwide and established Turkey's first laser company. His RUB center integrates electrical engineering and physics expertise to advance complex laser-matter interaction research, focusing on self-organizing laser systems, nanostructuring techniques, and applications in semiconductor manufacturing and medical technology through close industry partnerships.