جست‌وجوی استاد و پژوهشگر

• Immunopsychiatry
• Neuroimaging
• Psychiatry
• +۵ مورد دیگر

Professor Neil Harrison is a Clinical Professor in Neuroimaging at Cardiff University's School of Medicine, leading the Immunopsychiatry Research Group at CUBRIC and the Haydn Ellis Building. He previously established the UK's first Clinical Immunopsychiatry Service in Sussex. His expertise spans neuroimaging, psychiatry, and immunology, focusing on how immune systems interact with brain function in mental illnesses like depression and Alzheimer’s. He holds grants from the MRC, Wellcome Trust, and Janssen Pharmaceutics. Education: PhD in Neuroscience from UCL’s Wellcome Trust Centre for Neuroimaging, psychiatry training at the Maudsley Hospital and National Hospital for Neurology, Queen Square. Research interests include neuroinflammation’s role in mental health, with a focus on translational approaches like wearable technology for early disease detection. He chairs the Psychoneuroimmunology Research Society and advises the Wellcome Trust’s Clinical Interview Committee. Grants and collaborations include work on imaging brain inflammation, chronic fatigue mechanisms, and translational immunopsychiatry. His lab investigates neuroimaging biomarkers and clinical applications of immunological insights in mental health.

Fotios Petropoulosمشاهده پروفایل

استاد

• Time Series Forecasting
• Judgmental Forecasting
• Statistical Model Selection
• +۳ مورد دیگر

Fotios Petropoulos is a Professor at the University of Bath, holding the Management Chair in Management Science within the School of Management's Information, Decisions & Operations department. He also served as the Spyros Makridakis Chair in Forecasting at the University of Nicosia (2023–2023). His research focuses on time series forecasting, judgmental approaches, and integrating statistical and human judgment in decision-making processes. He has contributed to improving forecasting accuracy through temporal aggregation and hierarchical methods. Petropoulos holds a Doctor of Engineering (2012) and Bachelor of Engineering (2007) from the National Technical University of Athens. Editor of the International Journal of Forecasting (2020–present) Associate Editor of Foresight: The International Journal of Applied Forecasting (2015–2022) Director of the International Institute of Forecasters (2016–2018) His research interests emphasize forecasting processes, model selection, and the role of judgment in statistical models. Key areas include temporal aggregation, forecast reconciliation, and behavioral operations analytics. He has published over 100 peer-reviewed articles, focusing on topics like computational cost optimization, probabilistic forecasting, and scalable reconciliation methods. His work contributes to Sustainable Development Goals related to education and innovation. Recent articles highlight advancements in univariate forecasting efficiency, forecast selection criteria, and dynamic reconciliation. Petropoulos is a member of the Smart Warehousing and Logistics Systems group and actively participates in editorial boards of leading forecasting journals. His academic and professional roles bridge theoretical research and practical applications in operational decision-making.

Wang Li-Lianمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Spectral Methods
• +۵ مورد دیگر

Professor Wang Li-Lian is a faculty member in the Division of Mathematical Sciences at Nanyang Technological University (NTU), Singapore. He holds the rank of Professor of Applied Mathematics and has been affiliated with NTU since 2006, progressing through roles including Assistant and Associate Professor before his current position. His research focuses on spectral methods, computational acoustics/electromagnetics, and PDE-based image processing. He has supervised multiple PhD and Master's students, including Zhang Jing, Gu Ying, Yang Zhiguo, and others. Education and career highlights include a Postdoctoral Research Associate at Purdue University (2002-2003), followed by a Visiting Assistant Professorship (2003-2005). His academic work spans spectral element methods, fractional differential equations, and high-order numerical techniques for wave scattering problems. Notable contributions include advancements in spectral-Galerkin methods for nonlocal operators and exact nonreflecting boundary conditions for Maxwell's equations. Research interests emphasize high-accuracy numerical schemes, with applications to fractional PDEs, metamaterial simulations, and image processing. His publications (over 100+ articles) reflect expertise in spectral methods, computational physics, and mathematical modeling. Teaching responsibilities include courses on partial differential equations, numerical analysis, and scientific computing.

• Fluid Mechanics
• Heat Transfer
• Thermal Engineering
• +۵ مورد دیگر

Dr. Juan Felipe Torres is a Senior Lecturer and course convener for Aerodynamics, Fluid Mechanics, and Heat Transfer at the School of Engineering, ANU. His research focuses on sustainable heat and fluid flow phenomena with applications in environmental, energy, and aerospace engineering. Key contributions include hierarchical solar absorber coatings and the development of thermodiffusive desalination. He holds dual doctoral degrees from Tohoku University (Japan) and École Centrale de Lyon (France), with 12 years of experience in Japan, including a JSPS Fellowship and industry work at Toshiba Corporation. Education: Doctor of Philosophy (Engineering), Tohoku University & École Centrale de Lyon (2014) Master of Engineering, Tohoku University (2011) Bachelor of Engineering, Tohoku University (2009) Research Interests: Sustainable energy systems, solar thermal technologies, phase-change materials, desalination, and advanced coatings for high-temperature applications. His work emphasizes scalable solutions for environmental and energy challenges, including heat transfer optimization and materials innovation. Grants & Projects: ANU-funded projects on microplastic collection, hydrogen storage, lunar dust mitigation, and solar carbon sequestration (2018–2026). Focus on lab-scale prototypes (e.g., packed bed thermal storage, bladed solar receivers) and field applications. Labs & Teams: Group Leader of the ANU HEAT Lab, advancing heat/mass transfer technologies for environmental and energy applications. Collaborates internationally on solar thermal systems and desalination.

FENG Menglingمشاهده پروفایل

دانشیار

• Biostatistics
• Healthcare Data Analytics
• Medical AI
• +۳ مورد دیگر

**FENG Mengling** is an Associate Professor at the National University of Singapore (NUS) and holds primary affiliation with the Saw Swee Hock School of Public Health. She serves as the Domain Leader for the Biostatistics, Modelling, AI and Data Analytics (B.MAD) Domain and Director of the AI for Public Health (AI4PH) Program. Her academic credentials include a Senior Post-doc from Harvard-MIT Health Science Technology Division, a PhD from Nanyang Technological University (2009), and a Bachelor's degree (2003) from NTU. Research & Teaching: Her research focuses on causal inference for evidence-based medicine, generative models for medical time-series analysis, and healthcare data analytics. She teaches courses on big data technologies for healthcare problems and healthcare data analytics. Professional Roles & Awards: She has led the Biomedical and Healthcare Analytics Lab at the Institute for Infocomm Research (2014–2015) and currently serves as an Affiliate Scientist at Harvard-MIT. Notable accolades include the MIT Teaching & Learning Laboratory Kaufman Teaching Certificate and recognition as a finalist in MIT’s 2013 Innovation Showcase. Her work has been featured in prominent media outlets like The Straits Times and Channel NewsAsia, highlighting breakthroughs such as AI nurses and Singlish-speaking healthcare assistants. Publications & Impact: Over 50 peer-reviewed publications span AI-driven clinical decision support, medical imaging analysis, and predictive modeling in critical care. Key contributions include frameworks like MedDreamer (reinforcement learning for EHR analysis) and DivScore (LLM-generated text detection). Her research bridges causal inference, generative AI, and scalable healthcare solutions. Labs & Initiatives: As a leader in NUS’s Public Health AI Innovation Center (launching early 2025), she drives initiatives like FxMammo (AI for breast cancer screening) and the Biomedical and Healthcare Analytics Lab. Her work emphasizes ethical AI deployment and cross-disciplinary collaboration in healthcare.

Gustav Henterمشاهده پروفایل

استادیار

• Deep Generative Models
• Speech Synthesis
• 3D Character Animation
• +۳ مورد دیگر

Gustav Henter is an Assistant Professor in Intelligent Systems at KTH Royal Institute of Technology, specializing in Machine Learning. He is affiliated with the Division of Speech, Music and Hearing (TMH) within the School of Electrical Engineering and Computer Science. His research focuses on deep generative models for applications like speech synthesis, 3D character animation, and human-computer interaction. He holds a Docent degree from KTH and has held post-doctoral positions at the University of Edinburgh and the National Institute of Informatics in Tokyo. Education: PhD in Electrical Engineering (KTH, 2013), MSc in Engineering Physics (KTH, 2007). He supervises doctoral students in areas like gesture synthesis and multimodal interaction. His work is supported by grants from the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and South Korea's MOTIE. He co-founded Motorica AB to commercialize motion synthesis research. Awards include Best Paper Awards at ICMI 2020 and IVA 2020, and recognition for student theses. His research spans generative AI, perceptual evaluation, and robust statistical models. He organizes the GENEA Challenge and Workshop series for gesture generation benchmarking.

Patrick Singletonمشاهده پروفایل

دانشیار

• Travel Behavior
• Transportation Planning
• Traffic Safety
• +۶ مورد دیگر

Patrick Singleton is an Associate Professor in the Department of Civil and Environmental Engineering at Utah State University, specializing in transportation research. His work bridges travel behavior, safety analysis, and health impacts of transportation systems, with a focus on active transportation and data science applications. Academic Background: PhD in Civil and Environmental Engineering (Portland State University, 2017) Research Areas: Travel behavior, transportation-electrification, pedestrian safety, health-wellbeing in transport Recent research trends emphasize data-driven approaches to pedestrian and bicycle safety, transportation electrification, and the impact of environmental factors like air quality on travel patterns. His lab develops tools for pedestrian data analysis and systemic safety improvements. Scientific recognition includes multiple UDOT awards and a 2017 Best Paper award. He mentors graduate students in transportation modeling and safety analysis.

Huang Changjinمشاهده پروفایل

استادیار

• Biomechanics
• Bio-inspired Engineering
• Biomedical Engineering
• +۶ مورد دیگر

Dr. Huang Changjin is an Assistant Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He leads the C.J. Huang Research Group, focusing on interdisciplinary research at the intersection of mechanics, materials, and biology. His work emphasizes the mechanics and manufacturing of soft and living systems, with applications in bio-inspired engineering, biomechanics, and advanced materials. Dr. Huang holds a B.Eng. from the University of Science and Technology of China (2008), a Ph.D. from Pennsylvania State University (2014), and completed postdoctoral fellowships at Northwestern University (2014–2015) and Carnegie Mellon University (2016–2018) before joining NTU. His research explores cell mechanics, biofabrication, lipid membrane dynamics, and soft material manufacturing, with recent advancements in 3D printing, shape-morphing composites, and drug delivery systems. His group collaborates widely, addressing challenges in tissue engineering, nanomedicine, and plant immunity. Key research themes include membrane mechanics, bio-interface transport, and the development of in vitro systems for medical and engineering applications. Dr. Huang has mentored numerous students and postdocs, many of whom have transitioned to academic and industrial roles globally. He actively engages in academic activities, including invited talks at international conferences and editorial roles in journals. His lab facilities include advanced biological and mechanical testing equipment, enabling cutting-edge interdisciplinary research.

Ryan Galtمشاهده پروفایل

استاد

• Political Ecology
• Agricultural Sustainability
• Food Systems Governance
• +۷ مورد دیگر

Ryan Galt is a Professor in the Department of Community & Regional Development at the University of California, Davis. His research focuses on the governance of agrifood systems, political ecology, and the intersection of agriculture, environment, and society across scales. He holds a Ph.D. (2006) and M.S. (2001) in Geography from the University of Wisconsin, Madison, and a B.A. (1999) in Geography from UC Berkeley. Key research themes include: (1) pesticide use and regulation in global food systems, (2) community-based food systems like CSA models, (3) wildfire resilience in agricultural landscapes, and (4) agroecological transitions in the Corn Belt. He emphasizes participatory methodologies and critical pedagogy in sustainability education. Recent work explores pandemic impacts on direct-market farmers, pesticide trade inequities, and institutional pathways for agricultural diversification. His publications span 30 years of addressing systemic challenges in food systems through interdisciplinary approaches.

Nikhil Medhekarمشاهده پروفایل

استاد

• Materials Science
• Computational Materials Science
• Energy Storage
• +۶ مورد دیگر

Professor Nikhil Medhekar is a faculty member in the Department of Materials Science and Engineering at Monash University, Australia. He holds a PhD from Brown University and has extensive expertise in computational materials science, focusing on energy storage, nanotechnology, and sustainable engineering. His research employs advanced simulations to design novel materials for next-generation technologies, including batteries and optoelectronics. He is an active member of the ARC Centre of Excellence in Future Low Energy Technologies (FLEET) and the ARC Industrial Transformation Research Hub on Advanced Manufacturing of Two-Dimensional Materials (AM2D). Education: PhD in Engineering, Brown University, USA Sc. M. in Applied Mathematics, Brown University, USA M.Tech in Mechanical Engineering, IIT Bombay, India B.Eng in Mechanical Engineering, University of Pune, India Research Interests: Computational mechanics, nanoscale materials, quantum dots, nanowires, graphene, and energy applications. His work integrates quantum mechanical simulations, molecular dynamics, and phase-field modeling. Grants & Collaborations: Current projects include investigations into magnesium batteries, solid-state precipitates in aluminum alloys, and 2D materials manufacturing. He leads or co-leads six major research projects funded by the Australian Research Council and industry partners. Awards: 2014 Young Tall Poppy Award, 2008 Materials Research Society Silver Award, and 2008 William N. Findley Award. Labs & Teams: Leads the Computational Materials Lab at Monash, focusing on atomistic simulations and materials design. Collaborates with global institutions like MIT, Tsinghua University, and the Max Planck Society.

Rynson W.H. Lauمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Deep Learning
• +۳ مورد دیگر

Rynson W.H. Lau is a Professor of Computer Science at City University of Hong Kong (CityU), leading research in Computer Graphics, Computer Vision, and Deep Learning. He holds an Honorary Professorship at Swansea University. Previously, he served on faculties at Durham University and The Hong Kong Polytechnic University. His work focuses on advancing graphics and vision techniques, including deep learning applications for graphics/vision problems, with publications in top venues like SIGGRAPH, CVPR, and NeurIPS. He has received the Adobe Research Gift (2023) and the Springer Nature Editorial Contribution Award (2025) for his editorial contributions to the International Journal of Computer Vision . Education: B.Sc. (First-class Honors) in Computer Systems Engineering from University of Kent Ph.D. in Computer Science from University of Cambridge Research Interests: Computer Graphics: Focused on 3D reconstruction, rendering, and real-time performance capture. Computer Vision: Specializing in saliency detection, object recognition, and low-light scene enhancement. Deep Learning: Developing generative models and diffusion-based frameworks for graphics and vision tasks. Editorial Roles: Editorial Board Member, International Journal of Computer Vision and IET Computer Vision . Guest Editor for special issues in journals like ACM Transactions on Internet Technology and IEEE Transactions on Multimedia. Teaching: 2024/25 Academic Year: CS4185: Multimedia Technologies and Applications CS4188/CS5188: Virtual Reality Technologies and Applications Research Team: Advises over 20+ students and collaborates internationally. Recent projects include AI-driven VR systems for healthcare and advanced 3D content generation using diffusion models.

Dana E. Veronمشاهده پروفایل

استاد

• Climate Change
• Atmospheric Science
• Polar Meteorology
• +۵ مورد دیگر

Dr. Dana E. Veron is a Professor and Co-Director of the Gerard J. Mangone Climate Change Science and Policy Hub at the University of Delaware (UD). She holds roles as Associate Chair of the Department of Geography and Spatial Sciences and Faculty Director for the Environmental Science major and Climate Scholars program. Her research focuses on climate change impacts, polar meteorology, and offshore wind energy. She earned a Ph.D. in Oceanography from Scripps Institution of Oceanography (2000) and a B.A. in Physics from SUNY Geneseo (1995). Key research areas include Arctic energy balance, Antarctic boundary layer processes, cloud-radiation interactions, and coastal wind dynamics. She leads the Veron Lab, collaborating internationally on projects like CALVA in Antarctica. Dr. Veron also advances climate education through initiatives like MADE-CLEAR, addressing curriculum gaps and teacher training. Her work bridges academia and policy, contributing to UD's Delaware Environmental Institute and Center for Research in Wind (CReW). Notable contributions include studies on sea breeze impacts on wind energy forecasting and climate change literacy in higher education. Affiliations include the Provost Faculty Fellows program and roles on the Honors Program Board. She advises multiple graduate students and teaches courses on climate dynamics, oceanography, and wind energy.

Youngchul Raمشاهده پروفایل

دانشیار

• Combustion Modeling
• Computational Fluid Dynamics (CFD)
• Internal Combustion Engines
• +۴ مورد دیگر

Dr. Youngchul Ra is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. He holds a PhD from MIT (1999) and degrees from Seoul National University. His expertise includes computational fluid dynamics (CFD), combustion modeling, chemical kinetics, and alternative fuel research. His work focuses on advanced combustion strategies like Gasoline Compression Ignition (GCI), engine CFD code development, and high-performance computing. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (1999) Masters and Bachelors in Mechanical Engineering, Seoul National University Research Interests: Developing multi-component fuel models for real-world applications Optimizing six-stroke GCI engines with advanced valve technologies Reducing emissions via combustion control and injection strategies Parallel computing techniques for large-scale engine simulations Recent work emphasizes oxygenated fuels in GCI engines and parametric studies of combustion efficiency. His CFD models are validated against experimental data for accuracy. His research has led to advancements in low-temperature combustion and emission reduction without explicit awards listed. He collaborates on engine design optimization and fuel formulation projects.

• Computer Vision
• 3D Computer Vision
• Machine Learning
• +۸ مورد دیگر

Federico Tombari is a Director of Research at Google Zurich and a Lecturer (Privatdozent) at the Chair of Computer Aided Medical Procedures (CAMP) at TUM. He leads applied research in Computer Vision and Machine Learning, focusing on 3D vision, robotics, augmented reality, autonomous driving, and healthcare applications. His work emphasizes unsupervised learning, large multimodal models, neural radiance fields, and scene graphs. Education & Professional Background: As PD Dr. Ing. Habil., he holds a habilitation in engineering and has been active in academic and industrial research for over a decade. His roles include Area Chair for top conferences like CVPR and ECCV, and Associate Editorships for journals like IJRR. Research Interests: Federico’s research spans 3D scene understanding, object recognition, SLAM, and novel view synthesis. He explores applications in surgical robotics, autonomous systems, and medical imaging. Recent trends in his work include generative models for scene generation and semantic scene graphs for holistic modeling. Grants & Industry Collaborations: He has led projects with Toyota, BMW, Audi, Zeiss, and others, focusing on 3D perception, autonomous driving, and medical vision. His work bridges academia and industry, emphasizing practical applications. Labs & Teams: He contributes to labs like DHM (Deutsches Herzzentrum München), NARVIS Lab, and RobUSt (Robotics and Ultrasound), advancing interdisciplinary research in healthcare and robotics.

• Marketing Strategy
• Product Development
• Innovation Management
• +۵ مورد دیگر

Sumitro Banerjee is an Associate Professor of Marketing at Grenoble Ecole de Management (GEM), where he teaches strategic and international marketing, digital marketing, brand management, and product development. Previously, he held positions at ESMT Berlin and Syracuse University. He holds a PhD and MSc from INSEAD, an MBA from IIFT, and a Bachelor of Technology in Mining Machinery from IIT-ISM Dhanbad. His research focuses on new product development, innovation diffusion, market entry strategies, and salesforce incentives, employing microeconomic and game theory frameworks. He has published in journals like Production and Operations Management and serves on the editorial board of International Journal of Research in Marketing , where he received an award for editorial excellence in 2023. Before academia, he worked in international trade at Tata Steel and as an engineer at Jessop & Company. His executive education programs have served Fortune 500 clients, and he consults for organizations globally.