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Ali TavallaeiView profile

Assistant Professor

• Image Guided Therapy
• Cardiovascular Interventions
• Medical Imaging Instrumentation
• +3 more

Ali Tavallaei serves as an Assistant Professor at Toronto Metropolitan University since 2019 and concurrently holds a Visiting Scientist position at Sunnybrook Research Institute. He is also the President and Co-founder of Magellan Biomedical Inc. (2018-present) and Vital Biomedical Technologies Inc. (2012-present), demonstrating strong industry engagement in medical device commercialization. His academic foundation includes: Ph.D. in Biomedical Engineering from Western University (2010-2015) Medical Innovation Fellowship at University of Minnesota/Western University (2015-2016) Postdoctoral Fellowship at Sunnybrook Research Institute, University of Toronto (2016-2019) Dr. Tavallaei's research centers on image guided therapy with emphasis on solving unmet clinical needs in minimally invasive interventions. His core focus areas include: Cardiovascular device innovation and evaluation Medical imaging instrumentation for real-time guidance Robotic systems for catheter navigation Mechatronic solutions for therapeutic delivery His work bridges engineering design with clinical translation through preclinical and clinical validation. Recent publications (2023-2026) reveal a concentrated effort in developing next-generation catheter technologies, including steering mechanisms (CathPilot), imaging tools (CathEye, CathCam), and specialized devices for vascular interventions. The research consistently emphasizes performance validation, mechanical characterization, and clinical feasibility across peripheral artery disease, aneurysm repair, and cardiac ablation applications. As director of the Medical Devices and Systems Lab, Dr. Tavallaei leads a translational research program focused on fundamental advances in cardiovascular disease management. The lab's workflow integrates solution design, system verification, preclinical testing, and technology transfer to address global healthcare challenges posed by cardiovascular diseases—the leading cause of death worldwide.

• Industrial Organization
• Applied Microeconomic Theory
• Empirical Contract Studies
• +3 more

Darlene C. Chisholm is a Professor of Economics at Suffolk University in Boston, MA, holding this position since 2006. She has previously served as Associate Professor (2001-2006) and Assistant Professor (1991-1997) at Suffolk University, and has held academic positions at Tufts University, Lehigh University, and the Massachusetts Institute of Technology. University of Washington - Ph.D. Economics (1991) University of Massachusetts - B.A. Economics (1987) Princeton University - Electrical Engineering and Computer Science (1982-1984) Her research focuses on Industrial Organization, Applied Microeconomic Theory, and Spatial Competition within the U.S. Motion-Picture Industry. Her work examines product differentiation, contract structures, and strategic timing in entertainment markets, with over 20 years of publications in leading journals like the American Economic Review and Journal of Law, Economics, & Organization. Key publication themes include: Contract theory in motion pictures Spatial competition models Product line dynamics Game theory applications Technological change in cinema Asset specificity in long-term contracts Scientific awards: Visiting Yip Fellow at Magdalene College, University of Cambridge (2022) She has served as a reviewer for the National Science Foundation and as a referee for journals including the RAND Journal of Economics and Review of Economics and Statistics. Her work involves empirical analysis of movie markets, contract design, and strategic competition among theaters.

• Quantum Many-Body Systems
• Rydberg Atoms
• Quantum Simulation
• +7 more

Prof. Dr. Igor Lesanovsky is a leading researcher in quantum physics at the University of Tübingen, where he heads the Arbeitsgruppe (Research Group) Lesanovsky within the Institute of Theoretical Physics, part of the Faculty of Mathematics and Natural Sciences. His research focuses on quantum many-body systems, particularly utilizing Rydberg atoms for quantum simulation, quantum information processing, and exploring non-equilibrium phenomena. His research interests span quantum many-body physics, Rydberg atom systems, quantum simulation techniques, non-equilibrium quantum dynamics, quantum thermodynamics, and quantum soft-matter physics. His group investigates how highly excited Rydberg atoms can be used to simulate complex quantum processes, study phase transitions, and develop applications for quantum information processing. They're particularly interested in emergent phenomena such as time-crystals, quantum glassiness, and non-ergodic behavior in quantum systems. The publication record shows a consistent stream of high-impact research, primarily in Physical Review Letters, Physical Review A, and other top physics journals. The research trends indicate a strong focus on quantum simulation with Rydberg systems, quantum non-equilibrium dynamics, quantum information applications, and increasingly on the intersection of quantum physics with machine learning. Recent work explores quantum neural networks, quantum measurement theory, and the application of large-deviation methods to quantum trajectory ensembles. Prof. Lesanovsky's research is supported by multiple prestigious projects including the BMBF Quantum Technology project 'Neural quantum networks on NISQ quantum computers', the DFG Excellence Cluster 'Machine Learning: New Perspectives for Science', DFG Research Units on long-range interacting quantum spin systems and quantum thermalization, the EU EIC Pathfinder Project 'Brisk Rydberg Ions for Scalable Quantum Processors', the QuantERA Project CoQuaDis, and The Center for Integrated Quantum Science and Technology (IQST). The group maintains strong connections with experimental teams, particularly in the areas of quantum simulation of interacting many-body systems and the development of matter wave interferometers and collectively enhanced electric field sensors. They collaborate extensively across Germany and internationally, with publications showing co-authorship with researchers from multiple institutions worldwide.

• Control and System Engineering
• Robotics and Mechatronics Systems
• Mechanical Vibrations
• +3 more

Assoc. Prof. İBRAHİM SİNA KUSEYRİ is affiliated with Marmara University's Faculty of Engineering, Department of Machine Theory, System Dynamics and Control. His academic journey includes a Doctorate from Boğaziçi University (2011) and undergraduate studies at the same institution (1984). He also holds a postgraduate degree from Gazi University (1990). Research focuses on control systems engineering with emphasis on robotics, mechatronics, and mechanical vibrations. Key projects include haptic minimal invasive surgery robots (TUBITAK, 2016-2018) and wireless machine condition monitoring (KOSGEB, 2014-2015). His work spans ship stabilization systems, rotor dynamics, and industrial vibration control solutions. Publications emphasize advanced control methodologies applied to mechanical systems, including H-infinity control strategies, adaptive vibration suppression, and MIMO control architectures. He has supervised 3 master's theses on topics ranging from active suspension systems to crane anti-swing control. Professional experience includes serving as Head of Department at Marmara University's Institute for Graduate Studies (2022-present) and managing his company Mekatek Bakım Teknolojisi Ltd. Şti. since 1991.

Ben JeurissenView profile

Research Professor

• Medical Image Computing
• Quantitative Magnetic Resonance Imaging
• Diffusion MRI
• +4 more

Prof. Dr. Ben Jeurissen is an Associate Research Professor at the Department of Physics, University of Antwerp , Belgium, specializing in Medical Image Computing , Quantitative MRI , and Diffusion MRI . He received an ERC Consolidator Grant (2023) and FWO Senior Postdoctoral Fellowship (2018–2021) , with a focus on data-driven approaches to study brain microstructure. Education : MSc in Computer Science (2004), Biomedical Imaging (2006), PhD in Science (2012) from University of Antwerp. Research : His work bridges Neuroscience , Medical Imaging , and Computational Methods , particularly in Diffusion MRI and Quantitative MRI for applications in Alzheimer’s disease , spaceflight effects on the brain, and knee imaging . Awards : ERC Consolidator Grant (2023) Australian Museum Eureka Prize Finalist (2024) Multiple Magna/Summa Cum Laude Merit Awards at ISMRM conferences Prize Robert Oppenheimer (2015) Publications span NeuroImage , Human Brain Mapping , Journal of Alzheimer's Disease , and Investigative Radiology , with key contributions to super-resolution MRI , fiber tracking , and brain microstructure analysis . He serves as a contributor to MRtrix and advisor for PhD theses in Computational Anatomy and Medical Imaging .

Mario HarperView profile

Assistant Professor

• Machine Learning
• Data Science
• Robotics
• +2 more

Mario Harper is an Assistant Professor in the Department of Computer Science at Utah State University. His research emphasizes Machine Learning, Data Science, Robotics, and their intersections with Finance and Artificial Intelligence. He specializes in autonomous systems, energy-efficient robotics, and AI-driven solutions for transportation and urban sustainability. His work includes developing tools like simulators for electric vehicle systems and stealth-centric navigation algorithms inspired by biological systems. Key research areas include multi-robot coordination, reinforcement learning applications in robotics, and algorithmic approaches to environmental and economic challenges. He has contributed to projects like POSEIDON-SAT for satellite-based fishing vessel detection and electrified transportation equity analysis in urban settings. His publications span topics from trajectory planning in legged robots to AI modeling for economic systems. Beyond research, he designs interactive visualization tools to support policy decisions on sustainable transportation infrastructure. No scientific awards are explicitly listed in the provided information. Mario Harper’s advising and grants focus on robotics, energy systems, and AI applications, though specific student advisees or grant details are not detailed here. He collaborates on projects involving lab tools such as the Unknown Building Exploration Simulator (UBES) and Stealth Centric Autonomous Robot Simulator (SCARS), advancing robotic autonomy in unstructured environments.

• Cognitive Neuroscience
• Functional Neuroimaging
• Brain Mapping
• +3 more

Sabrina Pitzalis is an Associate Professor at the University of Rome 'Foro Italico', Department of Human Motor Sciences and Health. She serves as Delegate for Gender Budget and Head of the SACS (Student Counselling and Help Desk). Her research focuses on cognitive neuroscience, functional neuroimaging, and brain mapping, with specializations in neural mechanisms of perception, sensorimotor functions, and brain plasticity induced by motor activity. She leads projects like the 2019 study on neuromuscular electrical stimulation effects. Her work integrates neuroimaging techniques to explore topics such as anticipatory brain activity and motion perception. Pitzalis teaches courses in sport psychology, neuroscience, and pedagogy, emphasizing the interplay between cognitive and motor systems. Her research highlights neural adaptations to sensory and motor interventions, including multifocal contact lenses and exoskeleton-assisted rehabilitation. Research Themes: Neural basis of perceptual and sensorimotor functions Brain plasticity and motor learning Anticipatory neural processing during action preparation Integration of visual and motor signals in spatial navigation Recent Contributions: Her articles (2022–2025) reveal insights into how brain circuits process self-motion, adapt to sensory interventions, and modulate during complex cognitive-motor tasks. These studies use advanced neuroimaging and electrophysiological methods to map functional brain dynamics. Ongoing work explores neurocognitive trade-offs in dual-task scenarios and the role of parietal cortex in visuomotor integration. Teaching and Leadership: Pitzalis contributes to degree programs in Sports Sciences (L22), Preventive Motor Activities (LM67), and Sports Technology (LM68). She promotes interdisciplinary approaches, combining neuroscience with sport pedagogy. Her leadership roles emphasize institutional quality assurance and student support initiatives. Labs/Teams: Collaborates within university labs specializing in motor neuroscience and neuroimaging, contributing to projects on neural adaptation mechanisms and clinical applications in rehabilitation.

Aline NormoyleView profile

Assistant Professor

• Digital Humans
• Character Animation
• Video Games
• +4 more

Aline Normoyle is an Assistant Professor of Computer Science at Bryn Mawr College, where she leads the MOVR (Motion Capture and Virtual Reality) lab. Her research focuses on character animation, video game design, and analyzing human motion from video. She holds a B.Sc. from McGill University, and a M.Sc. and Ph.D. from the University of Pennsylvania. Prior to academia, she worked as a software engineer for 10 years, specializing in networking, graphics, and behavioral modeling. Her work bridges computational methods with experimental approaches to study non-player characters, avatars, and game mechanics. Normoyle’s contributions include open-source tools for sign language analysis and VR experiments, and she actively collaborates across disciplines including linguistics and psychology. She has been recognized with the Best Student Presentation Award at the 2013 Symposium on Applied Perception. Her teaching spans foundational computer science courses and specialized topics in game programming and animation. Education: B.Sc. in Computer Science, McGill University (1999) M.Sc./Ph.D. in Computer Science, University of Pennsylvania (2015) Research Interests: Procedural character animation and behavior Motion capture and analysis techniques Immersive VR/AR applications Game-based experimental platforms Accessibility in digital human modeling Recent Work Trends: Normoyle’s recent publications explore gesture-based user identification, controller effects in AR games, and the role of hand motions in virtual communication. Her work emphasizes interdisciplinary approaches, combining AI with traditional animation techniques to create more expressive and interactive virtual characters. Awards: Best Student Presentation Award, Symposium on Applied Perception (2013) Advising & Grants: Normoyle advises students in animation, VR, and game design, requiring foundational coursework in computer graphics and systems programming. She has received support for her research through collaborations with institutions like Clemson University and New York University. Labs & Teams: Director of the MOVR lab at Bryn Mawr, focusing on motion capture, VR experiments, and open-source tools for sign language analysis.

• Attosecond X-ray Science
• Extreme Photonics
• Quantum Dynamics

Jens Biegert is ICREA Professor at ICFO (The Institute of Photonic Sciences) leading research in Attosecond X-ray Science, Extreme Photonics, and Quantum Dynamics. His group develops advanced technologies to investigate electron and nuclear dynamics in atoms, molecules, and solids using attosecond soft-X-ray pulses and coincidence imaging techniques. Major research themes include: Attosecond spectroscopy of condensed matter systems Machine learning applications in laser-induced electron diffraction Valleytronics and quantum control in 2D materials He coordinates multiple EU projects including ERC Advanced Grant 'TRANSFORMER', FET-OPEN 'OPTOlogic', and MSCA 'Smart-X'. Recent publications demonstrate breakthroughs in quantum optical characterization of high-harmonic generation and material phase transitions.

• Rehabilitation Biomechanics
• Neuromuscular Fatigue
• Dysfunctional Breathing
• +5 more

Dr. Samantha Winter is a Reader in Rehabilitation Biomechanics at Loughborough University's College of Engineering, Design and Physical Sciences, affiliated with the National Centre for Sport and Exercise Medicine (NCSEM). Her work bridges clinical rehabilitation, sports performance, and evolutionary biomechanics, with a focus on dysfunctional breathing and neuromuscular fatigue. Education: First Class BSc in Sport and Exercise Sciences (University of Birmingham), MSc Kinesiology, Master's in Applied Statistics, PhD Kinesiology (Penn State University), Post-graduate Certificate in Teaching in Higher Education, BSc Mathematics (Open University) Her research explores the application of opto-electronic plethysmography (OEP) for diagnosing breathing disorders, complexity analysis in neuromuscular fatigue, and evolutionary ergonomics of hominin hand evolution. She leads externally funded projects on real-time OEP feedback systems and fatigue mechanisms. Recent publications highlight trends in Breathing Analysis , Neuromuscular Fatigue , and Evolutionary Ergonomics , utilizing advanced methodologies like time-series modeling, EMG, and motion capture. Key collaborations include studies on chronic ankle instability and prehistoric tool use efficiency. Scientific Recognition: Senior Fellow of the Higher Education Academy (SFHEA), 2019 She has influenced curriculum design and student support systems nationwide, with grants focused on breathing retraining and sports injury prevention. Her work intersects the Lifestyle for Health and Wellbeing and Sport Performance research groups.

Marinko SarunicView profile

Adjunct Professor

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +2 more

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Generative Programming
• Model-Based Development
• Software System Families
• +7 more

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

• Event Cognition
• Human-Robot Interaction
• Visual Working Memory
• +4 more

Frank Papenmeier is a Professor in the Department of Psychology at the University of Tübingen, within the Faculty of Science. His research focuses on event cognition, human-robot interaction, visual working memory, and visual attention. He coordinates the 'Coordination Cognitive Psychology and Research Methods' research group. His work explores how people perceive and interact with dynamic environments, including studies on event segmentation, cognitive offloading, and aesthetic judgments. He has contributed to over 100 peer-reviewed articles, with recent work addressing topics like the impact of framing on art perception and the role of AI in education. Papenmeier's research integrates experimental methods with interdisciplinary approaches, including collaborations on teleoperation systems and AI-based tutoring. He has presented at major conferences such as the European Society for Cognitive Psychology and the Psychonomic Society. His lab emphasizes methodological rigor, evidenced by contributions to replication databases and open science initiatives. Education: Not explicitly stated in the text, but his titles include Dr. rer. nat. (Doctor of Natural Sciences) and Diplom-Psychologe (Psychology Diploma). Research Interests: His primary areas include event cognition, human-robot interaction (e.g., helping behavior toward robots), visual working memory (e.g., spatial configuration processing), and cognitive offloading (e.g., impact on memory and performance). He also investigates aesthetic judgments and narrative comprehension through eye-tracking and experimental paradigms. Articles Trends: Recent work addresses applied topics like cookie consent interfaces, AI in education (e.g., R programming tutors), and perceptual effects in 3D cinema. His studies often bridge cognitive theory with real-world applications, such as usability design and social robotics. Labs/Teams: Leads the research group 'Coordination Cognitive Psychology and Research Methods' at the University of Tübingen. Collaborates with interdisciplinary teams on projects involving robotics, AI, and human-computer interaction.

Li LiView profile

Professor

• Visual perception
• Visuomotor control
• Eye-hand coordination
• +4 more

Li Li is a Professor of Neural Science and Psychology at NYU Shanghai and a Global Network Professor at NYU. Her research focuses on visual perception, visuomotor control, eye-hand coordination, and virtual reality applications. Dr. Li earned her educational degrees from prestigious institutions: 1999 Ph.D. in Cognitive Science from Brown University 1995 M.A. in Cognitive Psychology from Stony Brook University 1992 B.S. in Psychology from Peking University Dr. Li's research program investigates fundamental processes of visual perception and motor control. Her lab employs interdisciplinary approaches that integrate psychophysics, neuroscience, computer science, and engineering to examine how humans perceive visual information, control self-motion, and integrate perception with motor actions. A significant portion of her work explores how visual information guides navigation and goal-directed movements, with applications to understanding visuomotor control in both healthy individuals and those with neuromotor disorders. Her research demonstrates consistent innovation in experimental paradigms for studying heading perception, optic flow processing, and the integration of motion and form cues for self-motion perception. Dr. Li's publication record shows a clear trajectory of research advancing our understanding of visual-motor integration across multiple contexts including natural navigation, virtual environments, and sports performance. Her work bridges basic science with practical applications in rehabilitation, human-computer interaction, and virtual reality technologies. Dr. Li actively collaborates with researchers across multiple disciplines as evidenced by her co-authorship patterns. Her laboratory at NYU Shanghai provides a dynamic environment for investigating the neural and cognitive mechanisms underlying visual perception and motor control, with recent work extending into 2025.

George DankoView profile

Professor

• Mining Engineering
• Thermal Engineering
• Robotics in Mining
• +4 more

George Danko is a Professor in the Department of Mining and Metallurgical Engineering at the University of Nevada, Reno (UNR), part of the Mackay School of Earth Sciences and Engineering. He holds a DSc from the Hungarian Academy of Sciences (2010) and has held academic positions since 1978, including roles at the University of Technology, Budapest and the University of Minnesota. His research focuses on thermal systems, robotics in mining, mine ventilation, and geothermal/nuclear waste management. Education: DSc (2010, Hungarian Academy of Sciences), Ph.D. (1985), Dr. Tech. (1976), and dual M.S. degrees in Applied Mathematics and Mechanical Engineering from Eotvos University and Budapest University of Technology. Research interests include robotics automation in mining, thermal-hydrologic modeling for nuclear waste repositories (e.g., Yucca Mountain), multiphase transport modeling, and mine ventilation systems. His work integrates advanced computational tools like MULTIFLUX and TOUGH2 for simulating subsurface processes. Publications highlight contributions to mine climate simulation, robotic sensor networks, and nuclear waste thermal management. His 34 peer-reviewed papers and 10 patents (e.g., coordinated joint motion control systems, multiphase transport models) reflect interdisciplinary innovation. Grants totaling $7M+ support his research in DOE-funded projects and industry collaborations like Newmont Mining. Honors include Fulbright Visiting Professorship (2008) and Sabbatical Awards (UNR). He teaches advanced mining equipment design, robotics, and subsurface transport modeling courses.