جست‌وجوی استاد و پژوهشگر

Andreas Stavridisمشاهده پروفایل

دانشیار

• Structural Engineering
• Earthquake Engineering
• Bridge Engineering
• +۵ مورد دیگر

Andreas Stavridis is an Associate Professor at the University at Buffalo, State University of New York , with a joint appointment as Professor at the University of Patras . His work focuses on structural and earthquake engineering, particularly masonry-infilled RC frames, seismic isolation systems, and post-earthquake damage assessment. Academic Background: PhD and MS in Structural Engineering from UC San Diego, Diploma in Civil Engineering from National Technical University of Athens Research Leadership: Director of the Structural Engineering and Earthquake Simulation Laboratory Dr. Stavridis specializes in nonlinear structural analysis, large-scale testing, and finite element modeling. His research addresses seismic vulnerability of non-ductile RC frames, innovative retrofit schemes (e.g., sliding subpanels, PVC-based isolation systems), and masonry-concrete interaction mechanisms. He has led field investigations of earthquake-damaged buildings in Nepal (2015 Gorkha earthquake) and Mexico (2017 Puebla-Morelos earthquake), integrating ambient vibration data with point cloud measurements for damage quantification. Current projects include developing simplified modeling frameworks for masonry infills, advancing surrogate statistical models for seismic risk assessment, and optimizing low-cost seismic solutions for developing countries. His work bridges experimental validation with computational modeling, appearing in 99+ peer-reviewed publications and collaborations with international teams across the US, Greece, and Nepal. Key Research Themes: Seismic Performance of Infilled RC Frames Nonlinear Dynamic Modeling Hybrid Retrofit Techniques Post-Disaster Structural Assessment Low-Cost Base Isolation Systems Bayesian Model Updating

• Artificial Intelligence in Medicine
• Biomedical Imaging
• Computer Vision
• +۲ مورد دیگر

Yu Gan is an Assistant Professor of Biomedical Engineering at Stevens Institute of Technology and Director of the Intelligent Imaging and Image Processing Lab. His NSF CAREER award-winning research develops AI and computer vision solutions for medical imaging challenges. With PhD training at Columbia University, Gan's work spans holographic rendering for telerehabilitation, cardiac tissue segmentation, and cancer biomarker discovery. Research foci include: AI-driven medical image interpretation and enhancement Real-time 3D reconstruction for rehabilitation Weakly supervised learning for clinical annotation Publications demonstrate innovation in adapting computer vision architectures for healthcare applications, particularly in cardiovascular imaging and motor rehabilitation. Recent patents cover robotic trunk support devices and holographic patient rendering systems. Honors: NSF CAREER Award Scialog Fellow Arnold and Mabel Beckman Foundation Grant

Nobuaki Mizumotoمشاهده پروفایل

استادیار

• Behavioral Ecology
• Insect Social Behavior
• Collective Animal Behavior
• +۳ مورد دیگر

Nobuaki Mizumoto is an Assistant Professor in the Department of Entomology & Plant Pathology at Auburn University's College of Agriculture. His research focuses on termite behavior, collective animal behavior, and evolutionary biology, with a particular emphasis on understanding social interactions, communication mechanisms, and ecological adaptations in insects. Key research areas include: Collective behavior in termites and ants, including tandem running and swarming patterns Evolutionary and genetic aspects of termite classification and phylogeny Behavioral ecology of mating systems and predator-prey dynamics Applications of genomic data to resolve taxonomic relationships Recent work highlights innovative approaches such as amber fossil analysis for behavioral reconstruction and development of tools like TManual for measuring animal-built structures. His lab's research bridges field observations with computational modeling to uncover principles underlying complex social behaviors. Publications span topics from termite tunneling strategies to the molecular basis of caste determination, demonstrating interdisciplinary integration of entomology, genomics, and behavioral ecology.

• Ecology
• Conservation Biology
• Animal Behavior
• +۳ مورد دیگر

Tom Langen serves as Professor of Biology and Associate Dean at Clarkson University's Lewis School of Health & Life Sciences, with secondary affiliation at the Institute for a Sustainable Environment. He holds a PhD from University of California, San Diego and completed postdoctoral training at UCLA. His research focuses on environmental management across multiple domains: Wildlife conservation strategies for threatened species Wetland restoration and water quality impact Road ecology and infrastructure impacts on ecosystems Landowner engagement in conservation programs He leads international workshops on sustainable infrastructure design across North and South America. Major scientific recognition includes: Fulbright Scholarship in Costa Rica (2007-2008) Ecological Society of America Education Scholar Award (2011) Presidential Award from Society of American Naturalists (2005) Editor's Choice in Biological Conservation (2014) His teaching innovations include field-based courses in Costa Rica and New York's Adirondack Mountains, and integrating citizen science data into ecology curricula.

Jakub Gałkaمشاهده پروفایل

مدرس پاره‌وقت

• Digital Signal Processing
• Multimedia Processing
• Machine Learning
• +۶ مورد دیگر

Jakub Gałka serves as an Associated Part-time Lecturer at the Institute of Electronics, AGH University of Kraków, where he leads research in digital signal processing, machine learning, and deep learning for speech/audio applications. His dual career bridges academia and industry through co-founding Techmo sp. z o.o.—a voice technology commercialization spin-off—and providing R&D consultancy to multiple tech firms, driving innovation in voice biometrics and spoken dialogue systems. His research integrates wavelet analysis with modern deep learning techniques to solve real-world challenges in cross-gender voice conversion, speaker identification, and sign language processing. Key focus areas include audio security (replay attack detection), multimodal human action recognition, and accessibility technologies for the deaf community, demonstrating consistent translational impact from theoretical signal processing to market-ready solutions. Analysis of his recent publications reveals a strategic shift toward deep adversarial learning for voice conversion and robust biometric security systems, while maintaining foundational work in wavelet-Fourier transform compositions. His output consistently targets applied outcomes, particularly in commercial voice technologies and assistive systems for sign language processing. Scientific recognition includes: Graduate of Stanford University’s selective Top 500 Innovators internship program As an academic-industry liaison, Gałka mentors students through Techmo collaborations and directs R&D projects spanning voice authentication, music processing, and emergency call center speaker identification. His grant portfolio includes national and international initiatives focused on voice biometrics commercialization and sign language technology development. He actively contributes to the Signal Processing Group at AGH University, fostering partnerships that transform academic research—particularly in speech segmentation and neural network architectures—into deployable voice solutions for corporate and healthcare applications.

Yonatan Ashenafiمشاهده پروفایل

پژوهشگر ارشد

• Biophysics
• Applied Mathematics
• Computational Biology
• +۵ مورد دیگر

Yonatan Ashenafi is a Research Fellow in the Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI). He is affiliated with Salisbury Labs 405B and can be contacted via yashenafi@wpi.edu. His research focuses on interdisciplinary studies at the intersection of biophysics, applied mathematics, and computational biology, addressing complex systems such as microbial mobility, active matter dynamics, and machine learning applications. His work investigates statistical mobility properties of microbial colonies, cooperative cellular behaviors, and stochastic modeling of biological systems. Recent studies include analyzing cargo transport via molecular motors, flagellated cell colonies, and diatom foraging strategies. He also develops Bayesian and reinforcement learning frameworks for experimental design and gene activity classification. Articles published between 2016 and 2025 showcase a progression from foundational studies in microbial systems to advanced computational methodologies. His research bridges theoretical models with empirical data, emphasizing non-equilibrium physics and data-driven approaches. No scientific awards or grants are explicitly listed in the provided texts. No advisees or lab affiliations are detailed, though his position suggests active participation in collaborative research projects.

Andrew Vardyمشاهده پروفایل

استاد

• Swarm Robotics
• Biologically Inspired Robotics
• Autonomous Systems
• +۱ مورد دیگر

Andrew Vardy is a Professor jointly appointed to the Faculty of Engineering and Applied Science and the Department of Computer Science at Memorial University of Newfoundland. He holds a B.Eng. in Electrical Engineering (Memorial), M.Sc. in Evolutionary and Adaptive Systems (University of Sussex), and PhD in Computer Science (Carleton University). His research explores swarm robotics, biologically inspired algorithms, autonomous navigation, and multi-robot systems. Key areas include visual homing, distributed construction, environmental sensing, and robotic simulation tools. He leads the Memorial University Bots Lab, developing applications for marine and terrestrial environments. Vardy teaches courses in autonomous robotics, computer programming, software design, and control systems. His publications emphasize computational complexity in swarm algorithms, reinforcement learning for coordination, and novel applications like drum accompaniment AI and marine urchin detection. Recent work integrates attention mechanisms, transformer networks, and edge computing paradigms.

Ali A. Minaiمشاهده پروفایل

استاد

• Neural Networks
• Artificial Intelligence
• Complex Systems
• +۷ مورد دیگر

Ali A. Minai is a Professor of Electrical & Computer Engineering at the University of Cincinnati, with a secondary appointment in Computer Science and affiliation in the Neuroscience Graduate Program. He holds a PhD in Electrical Engineering from the University of Virginia (1991) and postdoctoral training in neuroscience. His research spans neural networks, complex systems, computational neuroscience, and text analysis, with a focus on creativity dynamics and brain networks. He has led major grants including an NSF INSPIRE award (2012) and served as President of the International Neural Network Society (2015-16). His work bridges AI, cognitive models, and biological systems. Education: PhD in Electrical Engineering, University of Virginia, 1991 MS in Electrical Engineering, University of Virginia, 1987 Research Interests: His work emphasizes computational models of cognition, neural networks, and social networks. Current projects include analyzing text corpora to study creativity, hippocampal modeling for spatial processing, and applying deep learning to clinical medicine. His models explore how neural systems generate and adapt ideas, with applications to robotics and biomedical research. Grants & Awards: Over $2M in NSF grants, including the INSPIRE award (2012) for creativity studies. Collaborative projects with federal agencies (Air Force, Army) focus on machine learning for verification processes and innovation diffusion. Service & Editorial Work: Served on editorial boards of Neural Networks and IEEE Transactions on Neural Networks , and organized major conferences like IJCNN 2011. Active in professional societies (IEEE, INNS).

• Prosthetics
• Rehabilitation Technologies
• Biomedical Engineering
• +۳ مورد دیگر

Laurence Kenney is a Professor at the University of Salford, leading the Rehabilitation Technologies and Biomedical Engineering research group within the School of Health & Society. He specializes in prosthetics, rehabilitation technologies, and low-resource healthcare solutions. His work focuses on improving prosthetic design, accessibility, and clinical evaluation, particularly in LMICs like Uganda. Kenney has secured grants from EPSRC, NIHR, EU, and charitable organizations, publishing ~80 papers. He co-leads the EPSRC Centre for Doctoral Training in Prosthetics and Orthotics and is an EPSRC TIDAL Network co-investigator. His research includes adjustable prosthetic sockets, upper limb prosthetics, and improving FES for stroke rehabilitation. Education: PhD in Engineering Design (University of Salford, 1993) BEng in Mechanical Engineering (University of Salford, 1986) Research Interests: Prosthetics innovation, rehabilitation technologies, real-world evaluation methods, global healthcare systems, and low-resource design solutions. Key Projects: Ugandan clinical service implementation of adjustable upper limb prostheses Development of the mHand Adapt prosthesis Evaluation of FES systems for stroke recovery Grants & Awards: EPSRC, NIHR, EU, and Innovate UK funding; co-chair of the 2019 Trent International Prosthetics Symposium; former Chair of Inspire Foundation’s Scientific Committee. Labs & Collaborations: Centre for Human Movement and Rehabilitation; partnerships with Bet R Medical and Ugandan healthcare institutions.

Gijs Hollemanمشاهده پروفایل

استادیار

• Human interaction
• Eye movements
• Perception
• +۳ مورد دیگر

Dr. Gijs Holleman is an Assistant Professor at Tilburg University's Department of Cognitive Neuropsychology within the Tilburg School of Social and Behavioral Sciences. His research focuses on human interaction, eye movements, perception, child development, applied cognitive psychology, and the history of psychology. He actively contributes to courses like *Trust in Your Brain* and *Research Skills in Psychology* in the Liberal Arts & Sciences program. His work emphasizes real-world applications of cognitive psychology, particularly through eye-tracking studies examining social interactions, gaze behavior, and communication dynamics. Notably, he critiques traditional methodologies like 'ecological validity' and explores wearable technology's role in real-world research. Holleman co-leads projects investigating parent-child interactions and aesthetic art experiences using digital wearables. Recent publications analyze gaze allocation in face-to-face communication, the societal relevance of psychological research, and the methodological challenges in 'real-life' neuroscience. He serves on the editorial board of *De Psycholoog* and engages in public outreach through talks on eye movements and attention. Current projects include studies on parent-child interaction dynamics using dual eye-tracking and exploring emotional and attentional responses in art appreciation through wearable devices. Holleman advocates for balanced funding between applied and fundamental research in psychology, emphasizing the importance of foundational scientific inquiry.

• Cybersecurity
• Machine Learning
• Cryptography
• +۳ مورد دیگر

Dr. Aqeel Sahi is a Lecturer in Computing at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds an MSc from Universiti Utara Malaysia and a PhD in Cybersecurity and Machine Learning from USQ. With over 15 years of teaching experience, Dr. Sahi instructs courses including Algorithms and Data Structures, Object-Oriented Programming, and Web Technologies. His research spans cybersecurity, machine learning, cryptography, and software engineering, with particular focus on developing advanced security algorithms and machine learning applications for network protection. Recent publications demonstrate strong emphasis on AI-driven security solutions, healthcare applications, and network defense mechanisms. Dr. Sahi maintains professional memberships with IEEE and ACS, bridging academic and industry expertise through his background as a senior software engineer.

Jan Engelenمشاهده پروفایل

استادیار

• Cognitive Psychology
• Reading Comprehension
• Linguistics
• +۶ مورد دیگر

Dr. Jan Engelen is an Assistant Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (TSHD), Department of Communication and Cognition. His research focuses on cognitive processes underlying reading comprehension, multimodal communication (e.g., emoji processing), and computational linguistics. He holds a Ph.D. from Erasmus University Rotterdam (2014) and has postdoctoral experience at the Open University of the Netherlands. Engelen’s work bridges theoretical and applied research, with contributions to corpus linguistics (e.g., the Dutch restaurant review corpus) and interdisciplinary collaborations in computational linguistics. His recent publications include groundbreaking studies on emoji semantics (2023), cognitive turn analysis in psychology (2023), and in-out effects in word perception (2022). He co-edited the Computational Linguistics in the Netherlands Journal (2022) and organizes academic conferences. Engelen teaches courses on language psychology, text analysis, and methodology.

• Functional Data Analysis
• Spatial Statistics
• Applied Statistics
• +۴ مورد دیگر

Sara Sjöstedt de Luna is a Professor in Mathematical Statistics at Umeå University's Department of Mathematics and Mathematical Statistics. She is a board member of The Wallenberg AI, Autonomous Systems & Software Program (WASP) and holds the title of Docent. Her research spans functional data analysis, spatial statistics, and their applications in climatology, forestry, and human motor control. Affiliation : Umeå University Department : Mathematics and Mathematical Statistics Research Focus : Functional data analysis, spatial statistics, and interdisciplinary applications in environmental and biomedical domains Her recent work involves developing statistical tools like the fdaMocca and fiberLD R packages, advancing methodologies for clustering functional data with covariates, and refining kriging approaches for spatiotemporal predictions. She has contributed to climate reconstruction using varved lake sediment data and biomechanical analysis of knee kinematics post-injury. Applications of her research include: Climate modeling using historical sediment records Wood fiber length determination for forestry studies Biostatistical analysis of human motor control Sjöstedt de Luna employs both parametric and nonparametric statistical techniques, with a focus on handling dependent data structures, censoring challenges, and algorithm design for complex datasets.

Hangjian Lingمشاهده پروفایل

استادیار

• Fluid Dynamics
• Super-Hydrophobic Surfaces
• Multiphase Flows
• +۴ مورد دیگر

Dr. Hangjian Ling is an Assistant Professor of Mechanical Engineering at the University of Massachusetts Dartmouth (UMassD), affiliated with the College of Engineering. He holds a PhD from Johns Hopkins University (2017), where he studied drag reduction mechanisms in super-hydrophobic surfaces. Before joining UMassD, he conducted postdoctoral research at Stanford University (2017–2019) on collective behavior in bird flocks. Education: PhD in Mechanical Engineering, Johns Hopkins University, 2017 MS in Mechanical Engineering, Johns Hopkins University, 2013 BS in Mechanical Engineering, University of Science and Technology of China, 2011 Research Interests: Dr. Ling’s work bridges fluid dynamics, materials science, and biology. His lab develops novel imaging technologies (e.g., digital holography) and studies: Super-hydrophobic surfaces for anti-biofouling and energy efficiency Collective motion in animal groups (e.g., jackdaws, fish schools) Turbulent boundary layer dynamics and drag reduction 3D cell tracking for biomedical applications Recent Research Trends: His publications focus on super-hydrophobic surface longevity in turbulent flows, gas diffusion mechanisms, and bacterial adhesion. He also explores imaging techniques for cell morphology and flocking behavior analysis. Awards: NSF CAREER Award ($400,928) ONR Grant ($197,813) UMassD MUST I Grant Grants & Advising: Active grants include NSF-funded studies on gas dissolution mechanisms. His lab collaborates on anti-biofouling surface development and marine engineering applications. Students and teams under his guidance have won awards in innovation competitions. Labs & Facilities: Director of the Flow Imaging and Technologies (FITs) Lab at UMassD, which develops optical techniques for fluid and particle motion analysis. The lab focuses on solving energy and environmental challenges through interdisciplinary research.

Lingjie Liuمشاهده پروفایل

استادیار

• Computer Graphics
• Computer Vision
• Artificial Intelligence
• +۷ مورد دیگر

Lingjie Liu is the Aravind K. Joshi Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, leading the Penn Computer Graphics Lab and co-chairing the GRASP Lab. Previously, he was a Lise Meitner Postdoctoral Fellow at the Max Planck Institute for Informatics, and earned his Ph.D. from the University of Hong Kong (2019). His research focuses on neural scene representations, neural rendering, human performance modeling, and 3D reconstruction, blending computer graphics, vision, and AI. He is actively recruiting PhD students in areas like neural representations, generative models, and LLM-guided graphics. Education: Ph.D. in Computer Science (University of Hong Kong, 2019); BEng in Computer Science (Huazhong University of Science and Technology, 2014). Research highlights include NeuS/NeuS2 for 3D reconstruction, DragGAN for interactive image manipulation, and Holodeck for text-driven 3D environments. He has received awards such as the IVA Best Paper Award (2021) and holds editorial roles at IEEE TVCG and program committees for SIGGRAPH/ICCV. Professional activities include organizing workshops on neural fields, generative models, and robotics. His lab emphasizes 3D/4D reconstruction, generative models, and physics-aware systems. Current students include Chen Wang (Meshy AI Fellow), Yiming Huang, and Qiao Feng. His work spans over 50 publications in top venues like SIGGRAPH, CVPR, and NeurIPS.