جست‌وجوی استاد و پژوهشگر

• Electronics
• Microelectronics
• Semiconductor Radiation Sensors
• +۱۲ مورد دیگر

Matteo Aldo Luigi PORRO is an Associate Professor in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice. He is actively engaged in teaching and research, with a focus on electronics and semiconductor-based radiation detection systems. His office is located in room 612 of the ALFA building on the scientific campus via Torino. Research Interests: PORRO specializes in the design and testing of microelectronic circuits for radiation detectors, particularly in mixed-signal CMOS design and semiconductor sensor modeling. His work supports advanced instrumentation for synchrotron and X-ray free-electron laser (XFEL) applications, including DEPFET sensors and high-speed data acquisition systems. The recent publications highlight a strong trend in developing cutting-edge detector technologies for high-energy physics and photon science, particularly in the context of the DSSC camera and European XFEL. These works span electronics, detector physics, and real-time data processing, reflecting a multidisciplinary approach to advanced instrumentation. Scientific Service and Recognition: Chair, Linac Coherent Light Source (LCLS) Detector Advisory Committee, Stanford, USA Topic Convener, IEEE NSS MIC Conference 2022 (Milan) and 2021 (Yokohama) – Session: Synchrotron Radiation, Accelerator, FEL and Beamline Instrumentation Reviewer for U.S. Department of Energy (DOE) BES Accelerator and Detector Research Program (2022) Reviewer for NSERC Discovery Grants, Canada (2014) Advising and Grants: While no formal students are listed, PORRO leads significant research initiatives, including the development of multi-channel CMOS ASICs for semiconductor detectors and ultra-fast, low-noise X-ray cameras for XFELs. He participates in international collaborations and has contributed to major instrumentation efforts at facilities like the European XFEL and SLAC. Labs and Teams: He is involved in the research lines of 'Physics of Materials' and 'Informatics' within his department and contributes to detector development teams for large-scale photon science facilities. His role as Laboratory Safety Officer (Preposto di Laboratorio) indicates active management of laboratory operations.

• Sport and Exercise Biomechanics
• Motor Control
• Gait Analysis
• +۷ مورد دیگر

Jon Wheat is a Professor of Sport and Exercise Biomechanics at Nottingham Trent University, actively contributing to research in biomechanics and sport science. His work focuses on human movement, performance optimization, injury prevention, and technological applications in motion analysis. Research Interests: His primary research areas include sport and exercise biomechanics, motor control, gait and cycling biomechanics, load carriage, wearable sensors, and markerless motion capture. He investigates movement variability, coordination synergies, and the effects of constraints on performance across diverse populations including athletes, stroke survivors, and individuals with multiple sclerosis. The recent articles reflect a strong trend in applying biomechanical analysis to real-world contexts—such as overground running, boxing, cycling, and military load carriage—often using advanced technologies like depth cameras, electromagnetic tracking, and wearable accelerometers. There is a recurring emphasis on reliability, feasibility, and the translation of laboratory methods to field settings. Collaborations: Extensive collaborations with researchers in biomechanics, rehabilitation, and sports science (e.g., Ben Heller, Kane Middleton, Keith Davids, Stephen Churchill). Interdisciplinary work involving engineering, computer vision, and clinical applications. Advising and Grants: While no specific students or grants are listed in the provided data, his frequent co-authorship with early-career researchers and involvement in applied studies suggest active mentorship and potential grant-funded research. His publications span high-impact journals, indicating sustained research productivity and external support. Labs and Teams: Although no formal lab name is mentioned, his work on 3D motion capture, depth cameras, and wearable sensors suggests involvement in a biomechanics or human performance laboratory at Nottingham Trent University, likely integrated within the Sport Science department.

• Smart Cities
• Internet of Things (IoT)
• Public Health
• +۳ مورد دیگر

Daniel G. Costa is a Researcher at the Department of Technology within the State University of Feira de Santana (UEFS), Brazil . His work bridges smart cities , IoT , and public health to address urban emergencies like pandemics. Affiliation: State University of Feira de Santana (UEFS), Brazil Email: danielgcosta@uefs.br Research Focus: Costa investigates sensor-based monitoring , social media data mining , and wearable health technologies to enhance outbreak detection and mitigation. His studies emphasize data integration , AI-driven emergency response , and digital health infrastructure in urban environments. Recent Publications: His 2020 article on smart city pandemic initiatives highlights trends in AI for disease prediction , multi-source data processing , and urban emergency systems . Other works span fuzzy logic in sensor networks , open-source hardware , and social media integration for real-time urban monitoring. Collaborations & Projects: Costa collaborates with institutions like the Federal Institute of Bahia (IFBA) and contributes to GeoCovid-19 portal for centralized pandemic data. His research aligns with digital health , urban resilience , and cyber-physical systems in smart cities.

Lan Xuمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• Performance Capture
• +۵ مورد دیگر

Lan Xu is a Tenure-track Assistant Professor at the School of Information Science and Technology (SIST) in ShanghaiTech University. His research focuses on computer vision and computer graphics, specifically on capturing, perceiving, and understanding human-centric dynamic and static scenes in complex real-world environments. Dr. Xu received his Ph.D. from the Hong Kong University of Science and Technology (HKUST) in 2020 under Prof. Lu Fang, and his B.E. from Zhejiang University (ZJU) in 2015. Prior to ShanghaiTech, he worked with Prof. Yebin Liu at Tsinghua University (2016) and visited the GVV group at MPI hosted by Prof. Christian Theobalt (2018). His research spans performance capture, 3D/4D reconstruction, scene understanding, and artificial reality , aiming to digitalize humans, objects, and events for realistic tele-presence in VR/AR. His work targets the intersection of computer vision, computer graphics, and machine learning with significant practical applications. Dr. Xu has published extensively in top venues including SIGGRAPH (with two 2024 Best Paper Honorable Mentions), CVPR, TPAMI, and IJCV. In 2024 alone, he had 3 papers at SIGGRAPH Asia, 1 at TPAMI, 3 at ACMMM, 7 at SIGGRAPH, 1 at IJCV, and 9 at CVPR. Best Paper Honorable Mention at SIGGRAPH 2024 (CLAY) Best Paper Honorable Mention at SIGGRAPH 2024 (DressCode) His research group develops cutting-edge technologies for human performance capture and 3D scene understanding, with projects like UnstructuredFusion for real-time 4D reconstruction, EventCap for high-speed motion capture, and FlyFusion for volumetric capture using flying cameras. They focus on practical applications in virtual reality, augmented reality, telepresence, and digital content creation.

• Film Production
• Video Editing
• Digital Media
• +۴ مورد دیگر

Dan Crawforth is a Lecturer in Media Production at the School of the Arts, York St John University. He has extensive freelance experience in video production, specializing in camera operation using advanced equipment such as drones, Ronin stabilizers, glidecams, polecams, and motion control rigs. His post-production expertise includes Avid Media Composer and Adobe After Effects for editing and effects compositing. Additionally, he utilizes Adobe Photoshop for 2D design, GIF creation, and social media content production. Since forming his own production company in 2012, Crawforth has collaborated with firms like RBCreate, Orillo Productions, Skyline Images, and Bold Move, delivering content for high-profile clients including Nike, Rugby World Cup 2015, Jack Wills, and Dulux. His work spans diverse projects requiring technical versatility in both production and post-production domains.

• Embedded Systems
• RF Technologies
• Bluetooth Low Energy (BLE)
• +۵ مورد دیگر

Alexis Boegli is a Professor at Haute Ecole Arc Ingénieur - HES-SO since 2018. He holds a PhD in Science from the University of Neuchâtel and has extensive expertise in analog, digital, and RF electronics with a focus on energy-constrained systems. His work emphasizes applications in wearable devices, biomedical engineering, and IoT localization systems. Affiliations: HE-Arc Engineering School (HES-SO), EPFL collaborations Education: PhD in Science (Neuchâtel), Microengineering (EPFL) Research interests include RF localization (BLE-based systems), energy-efficient power electronics, and dielectric elastomer actuators. His work bridges theory and applied research, with notable contributions to ultra-high-voltage converters and BLE direction finding algorithms. Recent articles focus on real-time indoor localization, energy-recovering actuators, and hybrid camera-RF access control systems. Research trends emphasize practical implementations of low-power, scalable solutions for IoT and biomedical applications. Patents include a BLE-based access control system (2022) and wireless transmitter compliance methods (2013). He has advised multiple doctoral candidates and collaborates with CSEM and industry partners on technology transfer initiatives.

Bastian Wandtمشاهده پروفایل

پژوهشگر

• Human Motion Capture
• 3D Reconstruction
• Machine Learning
• +۳ مورد دیگر

Bastian Wandt is a Researcher at the University of British Columbia in the group of Helge Rhodin, and will join Linköping University as an Assistant Professor in September 2022. He holds a PhD from Leibniz University Hannover (2015–2020) and a Mechatronics degree (B.Sc. 2012, M.Sc. 2015) from the same institution. His research focuses on human motion capture, 3D reconstruction, and machine learning, particularly deep learning techniques for weakly supervised training and probabilistic modeling. He founded the AI consulting company HEUWA in 2018 and has taught courses such as DATA 311 at UBC. Research interests include applying neural networks and dimensionality reduction to human pose estimation, with special emphasis on monocular video analysis and physics-based models. Key contributions involve unsupervised learning methods like ElePose and CanonPose , as well as anomaly detection frameworks like Same Same But DifferNet . Awards include the KI Talent Award (2020, €4,000) for his dissertation. He has supervised numerous theses on topics like pose space modeling, recurrent neural networks for motion capture, and texture synthesis. His work bridges computer vision, robotics, and medical imaging applications.

Natarajan Prabhuمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Natarajan Prabhu is a Senior Lecturer on the Educator Track at the Department of Computer Science, National University of Singapore (NUS), Faculty of Computing. He also serves as the Director of the Center for Computing for Social Good and Philanthropy, highlighting his leadership in technology for societal impact. Education: Ph.D. in Computer Science, National University of Singapore M.E. in Computer Science (Gold Medalist, University First Rank) B.Tech. in Information Technology His research focuses on Artificial Intelligence, Machine Learning, Computer Vision, and Multimedia Systems , particularly in multi-camera surveillance, fairness in observation, decision-theoretic coordination, and active perception . His work bridges intelligent systems with ethical considerations in automated surveillance. He teaches foundational courses such as CS2100 (Computer Organisation), CS2103/CS2103T (Software Engineering), and IT1244 (Artificial Intelligence: Technology and Impact). The analysis of his publications reveals a strong thematic focus between 2008 and 2015 on intelligent, decision-theoretic approaches to multi-camera surveillance, emphasizing fairness, scalability, and real-time coordination. His early work on whiteboard documentation also reflects interest in practical, human-centered computing applications. Scientific Awards: Annual Teaching Excellence Award (ATEA) - 2023 Annual Teaching Excellence Award (ATEA) - 2024 Faculty Teaching Excellence Award (FTEA) - 2023 Faculty Teaching Excellence Award (FTEA) - 2024 Natarajan Prabhu is a dedicated educator and researcher with significant contributions to teaching excellence and ethically informed AI systems. His leadership in the Center for Computing for Social Good indicates active engagement in grants and initiatives promoting technology for philanthropy. While specific grants are not listed, his directorship implies oversight of funded projects and research teams. He has mentored research at the doctoral level, as seen in his PhD forum publications. He leads the Center for Computing for Social Good and Philanthropy , which likely involves interdisciplinary teams working on AI for social impact, ethical computing, and community-driven technology solutions.

Eni Halilajمشاهده پروفایل

دانشیار

• Biomechanics
• Musculoskeletal Biomechanics
• Computational Modeling
• +۱۵ مورد دیگر

Eni Halilaj is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University’s College of Engineering, with courtesy appointments in Biomedical Engineering and the Robotics Institute. She also holds an adjunct faculty position in Orthopaedic Surgery at the University of Pittsburgh School of Medicine. She directs the CMU Musculoskeletal Biomechanics Lab, an interdisciplinary research group focused on understanding and optimizing human movement, particularly for individuals with mobility impairments. Ph.D., Biomedical Engineering, Brown University (2015) B.A., Engineering, Brown University (2008) Postdoctoral Fellow, Bioengineering, Stanford University (2018) Her research interests include biomechanics, computational modeling, wearable robotics, artificial intelligence, medical imaging, and rehabilitation engineering. She leverages motion capture, wearable sensors, computer vision, and machine learning to study musculoskeletal mechanics and develop technology-assisted rehabilitation strategies for preventing osteoarthritis and improving post-surgical outcomes. Her work emphasizes portable, scalable biomechanics tools that can be used outside traditional labs. Her recent publications demonstrate a strong trend in integrating AI and sensor fusion (IMU + video) to enable accurate, markerless human motion tracking in natural environments. These advances support clinical translation by enabling remote monitoring, personalized interventions, and large-scale biomechanical studies. She actively collaborates with UPMC and the Chan Zuckerberg Initiative on projects like DeepGaitLab, which aims to make markerless motion analysis accessible through open-source tools. NSF CAREER Award American Society of Biomechanics Early Career Achievement Award NIH K12 Career Development Scholarship George Tallman Ladd Research Award College of Engineering Dean’s Early Career Faculty Fellowship American Society of Biomechanics Young Scientist Award She advises multiple Ph.D., master’s, and undergraduate students and has received significant research funding, including a $2.7M NIH grant to predict post-traumatic osteoarthritis after ACL surgery. She teaches courses such as Dynamics and special topics in biomechanics and wearable health technologies. She is actively involved in outreach, including hosting workshops for high school girls and participating in National Biomechanics Day. Her lab, the CMU Musculoskeletal Biomechanics Lab, is a hub for interdisciplinary innovation, combining engineering, medicine, and computer science to improve human mobility and prevent joint disease.

• Vascular Fluid Dynamics
• Biomedical Engineering
• Hemodialysis
• +۳ مورد دیگر

Professor Tracie Barber is a faculty member in the Department of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW), within the Faculty of Engineering . Her primary role is as a Professor , focusing on vascular fluid dynamics with clinical collaborations at hospitals like Prince of Wales and Royal Hospital for Women. She leads a research group investigating cardiovascular systems, hemodialysis, and medical device design using computational and experimental methods. Specializes in fluid-structure interaction, bioprinting, and vascular flow dynamics. Utilizes advanced facilities including Trentino and Leonardi HPC clusters for simulations. Experimental lab equipped with PIV systems, high-speed cameras, and microfluidic setups. Research interests span vascular stents, arteriovenous fistulae mechanics, and biomedical engineering applications . Key projects include optimizing hemodialysis devices and modeling cerebral venous hemodynamics in multiple sclerosis. Collaborates with medical companies and clinical partners to translate engineering innovations into clinical solutions. Publications focus on CFD applications in vascular systems, microbubble dynamics, and 3D bioprinting. Recently explored hydrodynamic impacts on cell properties and stent implantation effects. Active in international conferences and interdisciplinary research, bridging engineering and medical fields. Supervises graduate students in vascular fluid dynamics and bioprinting. Funds include grants for renal research and medical device development. A leader in translating fluid dynamics principles to clinical and industrial applications.

Saksham Agarwalمشاهده پروفایل

استادیار

• Networking
• Systems
• Hardware
• +۳ مورد دیگر

Saksham Agarwal is an Assistant Professor in the departments of Electrical and Computer Engineering and Computer Science at the University of Illinois at Urbana-Champaign (UIUC). His research focuses on the intersection of networking, systems, and hardware, with a particular emphasis on host congestion control, datacenter architectures, and network protocols. He received his Ph.D. in Computer Science from Cornell University under the supervision of Prof. Rachit Agarwal and completed his undergraduate studies at IIT Kanpur. Research Interests: Host congestion control, datacenter networks, hardware-software co-design, network protocols, and systems optimization. His work includes seminal contributions like hostCC (host congestion control architecture) and Harmony (congestion-free datacenter architecture). Awards: ACM SIGCOMM Doctoral Dissertation Award (2025), Cornell CS Dissertation Award (2025), IRTF Applied Networking Research Prize (2025), Google PhD Fellowship (2019), Best Student Paper Awards (SIGCOMM 2024 and SIGCOMM 2018). Teaching: CS 438/ ECE 438 Communication Networks, ECE 598MCI Modern Cloud Infrastructure. Advising: Current students include Midhul Vuppulapati (SIGCOMM'24 Best Paper recipient), Shreyas Kharbanda, and Omar Eqbal. Labs/Teams: Lead researcher on host congestion control and datacenter network projects. Collaborates on open-source implementations of hostCC and Harmony .

• Computer Graphics
• 3D Modeling
• Computer Animation
• +۷ مورد دیگر

Marie-Paule Cani is a Professor of Computer Science at École Polytechnique (Institut Polytechnique de Paris), where she serves as Dean of the Master of Science and Technology program and leads the STREAM research team at LIX Laboratory (CNRS/IP Paris). Her research bridges computer graphics, HCI, and AI, focusing on expressive 3D modeling, animation, and virtual environments. Education: 1987: M.Sc. in Computer Science, École Normale Supérieure & University Paris XI 1990: Ph.D. in Computer Graphics, University Paris XI 1995: Habilitation in Computer Science, Institut National Polytechnique de Grenoble Research Interests: She pioneers user-centered tools for 3D content creation, combining gesture-based interfaces (sketching, sculpting) with knowledge-enhanced procedural models. Key areas include implicit surfaces, physical simulation, AI-driven animation, and accessible tools for non-experts. Her work enables intuitive design of complex shapes, terrains, and dynamic scenes. Publication Trends: Recent work (2023–2025) emphasizes AI-integrated graphics, including controllable natural phenomena (volcanoes, erosion), sketch-based bio-visualization, reinforcement learning for animation, and real-time character control. Cross-disciplinary applications span geology, biology, and cinematography. Awards & Honors: ACM Steven A. Coons Award (2023) French Academy of Sciences (2020) ACM SIGGRAPH Academy (2019) ERC Advanced Grant EXPRESSIVE (2012–2017) CNRS Silver Medal (2012) Leadership & Grants: She founded research teams (STREAM, Imagine, Evasion) and secured major funding: ERC Advanced Grant, Google-École Polytechnique AI Chair (2018–2021), Horizon 2020 project CLIPE (2020–2024), and Hi!Paris Creative AI Fellowship (2021–2024). She mentors researchers in geometric modeling, animation, and AI. Labs & Teams: Directs the Modeling, Simulation & Learning pole at LIX (2019–2023). Founded STREAM (Structure Representation for Animation/Modeling) and Imagine (Inria/Grenoble teams), advancing real-time graphics and procedural content.

• Conservation Science
• Wildlife Ecology
• Animal Behaviour
• +۱۲ مورد دیگر

Dr. Pete Haswell is a Lecturer in Conservation Science at Bangor University within the School of Environmental and Natural Sciences . He is actively involved in research on wildlife ecology, human-wildlife coexistence, carnivore conservation, and environmental philosophy. His work bridges empirical science and ethical inquiry, with field research spanning Croatia, Idaho, and the Mojave Desert. PhD in Biology, Bangor University Postdoctoral experience at University of California, Davis Member, Royal Society of Biology and The Wildlife Society Advisory Council Member, International Wildlife Coexistence Network Research Collaborator, Croatian Large Carnivore Project (since 2010) Dr. Haswell's research interests are centered on conservation science , carnivore ecology , and behavioral responses to predation risk . He investigates how species interact under human influence, with a focus on mesopredator behavior, nonlethal conflict mitigation, and habitat restoration. His recent work explores the spatiotemporal dynamics of endangered rodent communities and the role of restoration in invasive species control. He also integrates environmental ethics into conservation, advocating for reduced consumption and cultural shifts toward sustainability. The most recent publications reflect a strong trend in ecological interactions , conservation conflict resolution , and ethical dimensions of environmental science . His work combines field observation, experimental design, and philosophical analysis, contributing to both applied management and theoretical understanding in conservation. Notable scientific contributions include: Development of nonlethal strategies for wolf-sheep coexistence in Idaho Research on fear-mediated behavior in mesopredators Advocacy for ethical consumption and intergenerational equity in environmental policy Leadership in camera trapping methodology for behavioral research Dr. Haswell mentors graduate students and collaborates internationally. He has contributed to conservation education through guest lectures, seminars, and public outreach, including writing for Wolf Print magazine. His research is supported by collaborations with conservation NGOs and academic institutions in the UK, USA, and Croatia. He is also involved in reviewing for major journals such as Journal of Applied Ecology , Conservation Letters , and Proceedings of the Royal Society B . His work is conducted within interdisciplinary teams and often involves field-based studies on predator-prey dynamics, human disturbance, and restoration outcomes. He continues to lead research on the Amargosa vole and broader implications for desert ecosystem conservation.

David Gruberمشاهده پروفایل

استاد

• Marine Biology
• Animal Communication
• Biofluorescence
• +۱۲ مورد دیگر

David Gruber is a Distinguished Professor of Biology and Environmental Sciences at the City University of New York, with affiliations at Baruch College and the CUNY Graduate Center. He is also the Founder and President of Project CETI, a nonprofit interdisciplinary initiative focused on decoding sperm whale communication using advanced machine learning and robotics. His work bridges marine biology, climate science, animal communication, and bio-inspired technology. Education and Professional Background: Ph.D. in Biology (specific institution not mentioned in text) Postdoctoral training likely in marine molecular biology or biophysics (inferred from research) National Geographic Explorer and Emerging Explorer (2014) Principal Investigator, Project CETI (Audacious Project, 2020) Research Interests: David Gruber's research is deeply interdisciplinary, focusing on the intersection of marine life and technology. He investigates biofluorescence and bioluminescence across diverse species—from corals and eels to sharks and sea turtles—discovering over 200 glowing organisms. His lab explores the molecular basis of these phenomena, identifying novel fluorescent proteins with potential biomedical applications. A major focus is animal communication , particularly in sperm whales, where he applies AI and natural language processing to decode vocalizations. He also studies coral resilience to climate change and deep-sea ecosystems. Recent Research Trends: Gruber’s recent publications reveal a strong shift toward integrating artificial intelligence with marine bioacoustics. His team uses convolutional neural networks to classify sperm whale clicks and identify individuals with high accuracy. There is a growing emphasis on unsupervised machine translation to interpret non-human communication, suggesting a future where interspecies dialogue may be possible. His work increasingly combines soft robotics, genomics, and real-time underwater sensing to enable non-invasive study of fragile deep-sea life. Scientific Awards and Recognition: National Geographic Emerging Explorer (2014) Multiple National Geographic Grants (2010–2020) Audacious Project Funding for Project CETI (2020) Leader in the global movement for ocean conservation and interspecies communication Advising and Grants: As a principal investigator and professor, Gruber mentors students and early-career scientists in marine biology, genomics, and bio-inspired technology. He has secured significant funding from National Geographic and other sources to support deep-sea exploration, coral research, and whale communication studies. His grants emphasize innovation in wildlife technology , including the development of gentle, on-whale sensors and soft robotic samplers. These projects often involve collaboration with engineers, computer scientists, and conservationists, reflecting his commitment to interdisciplinary science. Labs and Teams: Gruber leads a multidisciplinary research group that collaborates with the Harvard Microrobotics Laboratory, the Dominica Sperm Whale Project (led by Shane Gero), and institutions worldwide. His lab develops cutting-edge tools such as the 'shark-eye camera' and soft robotic grippers for delicate marine organisms. Project CETI brings together over 50 scientists from more than 15 institutions, forming one of the largest collaborative efforts in cetacean communication research.

Ivan Petrovićمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Computer Vision
• +۳ مورد دیگر

Ivan Petrović is a Full Professor at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on advanced control systems, mobile robotics, computer vision, and estimation theory, with significant contributions to autonomous navigation, path planning, and sensor fusion techniques. Specializations in robotics , SLAM , visual odometry , and nonlinear control systems . Recent work includes transformer-based gesture recognition pipelines, uncertainty-aware calibration methods, and reinforcement learning approaches for soft robotic control. His projects integrate probabilistic models, deep learning, and geometric algorithms for real-time autonomous systems. For collaboration or further information, contact: ivan.petrovic@fer.unizg.hr