جست‌وجوی استاد و پژوهشگر

Pei-Chun Kaoمشاهده پروفایل

دانشیار

• Biomechanics
• Motor Control
• Gait Rehabilitation
• +۴ مورد دیگر

Pei-Chun Kao is an Associate Professor at the Zuckerberg College of Health Sciences, University of Massachusetts Lowell, serving as Scientific Lead in Robot-Assisted Movement Biomechanics at the NERVE Center and UMOVE Center Researcher. Her work bridges engineering and clinical rehabilitation through biomechanics research focused on human locomotion. Her educational background includes a Ph.D. in Biomechanics (2009) and M.S. in Movement Science (2003) from the University of Michigan, B.S. in Physical Therapy (2000) from National Taiwan University, and postdoctoral training at the University of Delaware (2014). Ph.D. Biomechanics, University of Michigan (2009) M.S. Movement Science, University of Michigan (2003) B.S. Physical Therapy, National Taiwan University (2000) Dr. Kao's research centers on gait rehabilitation, biomechanics, and neuromuscular control of human walking , with specific expertise in assistive technology, cognitive-motor interference, and fall prevention. She develops wearable devices for biofeedback and rehabilitation interventions through rigorous analysis of motor adaptation principles. Her experimental approaches combine robotic exoskeletons, functional electrical stimulation (FES), and biomechanical modeling to address movement disorders across diverse populations. Analysis of her 15 most recent publications reveals a concentrated research trajectory in exoskeleton-human interaction dynamics (60% of articles), with significant focus on cognitive-motor interference during walking (25%) and military/occupational ergonomics (15%). Key trends include the development of adaptive control algorithms for rehabilitation robotics, quantification of fatigue effects on gait stability, and characterization of dual-task performance in aging populations. Her scientific recognition includes: President's Poster Award (2011) - American Society of Biomechanics Multiple University of Michigan graduate fellowships (2005-2009) Dr. Kao directs substantial research programs funded by NSF, U.S. Army, and ASTM International, with current projects including Fabric-embedded Dynamic Sensing for Adaptive Exoskeleton Assistance (NSF #1955979) and multiple SLIMMER exoskeleton initiatives for soldier performance enhancement. Her collaborative network spans engineering, military research, and clinical rehabilitation teams. As Scientific Lead at the NERVE Center, she directs research on robot-assisted movement biomechanics, leveraging the center's advanced motion capture and virtual reality facilities to develop next-generation rehabilitation technologies with direct clinical applications.

Pavel Zemcikمشاهده پروفایل

استاد مهمان

• Computer Graphics
• Computer Vision
• Machine Vision
• +۷ مورد دیگر

Pavel Zemcik serves as a Visiting Professor in the Computational Engineering department at the School of Engineering Sciences, Lappeenranta University of Technology (LUT). His academic work spans multiple domains within computer science with a strong emphasis on visual computing technologies. Dr. Zemcik's research interests encompass a broad spectrum of visual computing disciplines, including computer graphics, computer vision, machine vision, and image processing. His work particularly focuses on light field rendering techniques, 3D display technologies, and advanced wavelet transform applications. He has made significant contributions to GPU acceleration methods for real-time visual processing and has explored applications in both industrial settings and medical imaging. Analysis of his recent publication trends reveals a concentrated research trajectory in light field technologies and 3D display systems over the past five years. His work demonstrates increasing sophistication in handling visual quality metrics, focus management, and compression techniques specifically tailored for 3D displays. The research shows strong interdisciplinary connections between computer graphics, signal processing, and human perception studies. His scholarly output demonstrates consistent productivity across multiple high-impact venues in computer graphics and computer vision. While specific grant information isn't detailed in the available materials, his publication pattern suggests sustained research funding supporting his work in visual computing technologies.

Po Yangمشاهده پروفایل

استاد

• Machine Learning
• Pervasive Computing
• Smart Sensing
• +۴ مورد دیگر

Professor Po Yang is a distinguished academic at the School of Computer Science , University of Sheffield , where he holds the title of Professor of Pervasive Intelligence . Previously, he led research at Liverpool John Moores University (2015-2019) before joining Sheffield. His educational background spans Wuhan University (BSc), University of Bristol (MSc), and Staffordshire University (PhD). Research Interests include Pervasive and Mobile Intelligence Machine Learning for Healthcare Smart Sensing Systems Data Science Applications in Precision Agriculture Image Analysis for Medical and Industrial Uses Publications (>100 journals, >80 conferences) demonstrate expertise in AI-driven solutions for Parkinson’s disease , Alzheimer’s progression , and agricultural pest management . His work integrates IoT , tensor multi-task learning , and federated learning to address real-world challenges. Grants totaling over £1.1M as Principal Investigator from Innovate UK , BBSRC , EPSRC , and other bodies focus on AI-enabled Sustainable Agriculture Mobile Intelligence for Pest Management Federated Learning Privacy Solutions IoT-based Healthcare Systems Labs & Teams include leadership of the Pervasive Computing Research Group and collaborative projects with institutions like MRC, Worldwide Universities Network, and industrial partners.

• Computer Architecture
• Memory Systems
• Multicore Architectures
• +۳ مورد دیگر

Georgios Keramidas is an Assistant Professor in Computer Architecture at the Department of Informatics, Aristotle University of Thessaloniki . He also holds an Adjunct Professor position at the Hellenic Open University and collaborates with institutions like the University of Peloponnese and University of Patras . Research Interests : Computer Architecture, Memory Systems, Multicore/GPU Design, Low-Power Techniques, Fault-Tolerant Systems His work focuses on cache optimization , energy-efficient computing , and security-aware memory design . Key contributions include DVFS frameworks , reuse-distance prediction , and non-deterministic cache mechanisms . Recent article trends highlight innovations in computation-in-memory , IoT platform components , and security/low-power co-design . Patents on image compression and GPU optimization reflect practical applications of his research. Academic Network : Collaborates with institutions including University of Patras , University of Manchester , and TU Dresden

Michael Dohertyمشاهده پروفایل

دانشیار

• Database Applications
• Knowledge Management Systems
• Computer Graphics
• +۳ مورد دیگر

Michael Doherty is an Associate Professor in the Department of Computer Science at Pacific University's School of Engineering and Computer Science. His research and teaching focus on Database Applications , Knowledge Management Systems , Computer Graphics , Simulation , Video Game Development , and Software Engineering . Ph.D. in Computer Science from University of Colorado at Boulder (1998) M.S. in Computer Science from University of Rhode Island (1992) B.S. in Electrical Engineering from University of Florida (1983) His publications center on database systems , knowledge management , and software engineering applications in technology transfer , telerobotics , and telecommunications . Key topics include ontologies , graphical transformation languages , and object-oriented database updates .

Gokberk Cinbisمشاهده پروفایل

دانشیار

• data-efficient machine learning
• few-shot learning
• zero-shot learning
• +۶ مورد دیگر

Gökberk Cinbiş is an Associate Professor at the Department of Computer Engineering, Middle East Technical University (METU), leading research in data-efficient machine learning with minimal supervision. His work spans zero-shot, few-shot, weakly-supervised, and self-supervised learning, with applications in vision-language integration and large-scale image/video understanding. PhD from Université de Grenoble (2014) M.A. from Boston University (2010) His research focuses on generative models, meta-learning, and robust computer vision systems. Recent work explores sparsity in parameter-efficient fine-tuning, token embeddings for vocabulary extension, and domain-aware LoRA components for personalization. Notable trends in his publications include: Advancements in zero-shot and few-shot learning Applications in remote sensing (SAR2ET for evapotranspiration) Meta-learning and hybrid augmentation techniques Sign language recognition and industrial vision benchmarks Scientific honors include: Science Academy - Young Scientist Award (BAGEP 2024) Google Faculty Research Award (2019-2020) Best PhD Thesis Prize by AFRIF (2015) Alper Atalay Best Student Paper Award (2016) He has supervised MSc students Gencer Sumbul and Berkan Demirel, secured TUBITAK grants on meta-learning and any-shot learning, and organized workshops on industrial inspection at CVPR and ECCV. Cinbiş leads METU ImageLab, focusing on computer vision and machine learning.

Leo Wuمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Assistive Robotics
• Manufacturing Robotics
• +۵ مورد دیگر

Dr. Leo Wu is a Senior Lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney, Australia. He earned his BS and PhD in Mechanical Engineering from Tsinghua University, followed by postdoctoral roles at National University of Singapore (2014-2015) and Queensland University of Technology (QUT) as a Vice-Chancellor’s Research Fellow (2016-2018). From 2016-2020, he was affiliated with the Australian Centre for Robotic Vision, an ARC Centre of Excellence. PhD in Mechanical Engineering, Tsinghua University (2013) BS in Mechanical Engineering, Tsinghua University (2008) His research focuses on medical robotics , particularly flexible robots and intelligent perception systems for minimally invasive surgery . He has also made significant contributions to Lie groups theory in robotics , kinematic modeling and calibration for surgical and industrial robots, and wearable assistive technologies . His work integrates soft robotics with variable stiffness mechanisms and multimodal sensing , often leveraging machine learning and control engineering to enhance robotic autonomy and precision. Scientific awards include prestigious fellowships such as the QUT Vice-Chancellor’s Research Fellowship , QUT ECARD/VCRF Travel Fellowship , and Associate Fellowship of Higher Education Academy . He has received multiple academic honors from Tsinghua University and national scholarship programs. Dr. Wu actively supervises HDR students, focusing on surgical robotics and teleoperated orthopaedic systems . His research portfolio includes grants from the ARC Discovery Projects , UNSW MME RIS , and QUT internal schemes , covering topics like bioinspired flexible haptics , vision-guided robotic assembly , and precision motion capture systems . Collaborations extend to institutions like QUT, NUS, and clinical partners in robotic vision.

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.

• Mobile Communications
• Radio Frequency Radiation Safety
• Biometric Radio Systems
• +۳ مورد دیگر

Dr Robert Edwards is a Reader in Mobile Communications and Director of the 5G Research Centre at Loughborough University. Formerly Director of Sheffield's Centre for Mobile Communications Research, he holds Senior Member status in IEEE and is a Chartered Engineer with the IET. His research focuses on biometric radio systems, mobile communications advancements, and the health implications of radio frequency radiation exposure. Education : BEng (Hons) in Electronic Engineering (Communications), University of Sheffield PhD in Communications & Radar Engineering from Sheffield University Research Interests : Developing biometric authentication through radio channel characteristics Antenna design for on-body and industrial applications IoT-based flood monitoring systems in developing regions RF safety assessment and mitigation strategies Key Activities : External Examiner for multiple institutions including American College of Thessaloniki and Arab Open University Member of Wireless World Research Forum's Communications Division Subject advisor for British University in Egypt (Communications Electronics) Labs/Teams : Leads the Loughborough 5G Research Centre and collaborates with the Antenna Team (as noted in his 2013 publications).

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Giacomo Boracchi is a researcher at the Polytechnic University of Milan , focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications. Key Collaborations : Diego Carrera, Luca Magri, Cesare Alippi Industries : Embedded systems, medical imaging, environmental monitoring Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring. His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.

Kyoung-Don Kangمشاهده پروفایل

استاد

• Real-time embedded systems
• Cyber-physical systems
• Internet of Things
• +۴ مورد دیگر

Kyoung-Don (KD) Kang is a Professor in the School of Computing at Binghamton University, State University of New York. He specializes in real-time embedded systems, cyber-physical systems, and IoT security. His research focuses on enhancing real-time data services' timeliness and power efficiency, supported by NSF grants and industry collaborations. Education: BS, MS (Kyungpook National University); MS, PhD (University of Virginia). Research Interests: Real-time embedded systems, cyber-physical systems, IoT, security, edge computing, and wireless sensor networks. His work emphasizes control-theoretic approaches, feedback mechanisms, and adaptive algorithms for real-time systems. Grants & Projects: NSF-funded projects include 'Enhancing Timeliness of Real-Time Data Services' and 'QoS-Aware Data Management.' He leads the Real-Time Embedded Systems Laboratory, developing frameworks like Chronos and RTMR. Awards: Best Paper nominations (DCOSS'19), NSF grants, and patents in surveillance systems. Over 16 MS students and 9 PhD students have graduated under his mentorship, many joining top tech firms. Labs & Teams: Director of the Real-Time Embedded Systems Lab, focusing on edge computing, real-time stream processing, and secure IoT applications. Collaborates with industry partners like Samsung and Intel.

Dag Trygve Eckhoff Wislandمشاهده پروفایل

استاد

• Nanoelectronics
• Biomedical Engineering
• Microwave Systems
• +۳ مورد دیگر

Dag Trygve Eckhoff Wisland is a Professor at the Department of Informatics, University of Oslo, affiliated with the Research Group for Nanoelectronic Systems. His research focuses on advanced electronic systems, biomedical sensors, and microwave engineering with applications in medical diagnostics and nanotechnology. Key research interests include nanoelectronics, integrated circuits design, biomedical signal processing, and the development of low-power embedded systems. His work spans topics like CMOS circuit design, radar systems-on-chip, and microwave dielectric sensors for transcutaneous monitoring. Recent publications emphasize differential probing analysis for biomedical applications, 3D-printed microwave absorbers, and secure countermeasures against side-channel attacks in CMOS logic. His contributions also include innovations in impulse radar imaging and low-power analog circuit design.

• Neuroscience
• Systems Neuroscience
• Sensory Processing
• +۳ مورد دیگر

Dr. Anton Sumser is a researcher at the Faculty of Biology, Ludwig Maximilian University of Munich, where he contributes to Prof. Laura Busse's research group and the Vision Circuits collaboration (Busse & Katzner). His work focuses on neural circuit mechanisms underlying sensory processing in mouse models, with emphasis on thalamic function in vision and touch. Sumser's research investigates how active versus passive sensory inputs are differentially processed in the thalamus, revealing specialized neural pathways for touch perception during movement. His studies integrate in vivo electrophysiology, viral tracing, and behavioral paradigms to dissect visuomotor coordination, demonstrating how thalamic hub-and-spoke networks enable visual perception during action. Additional work explores panoramic visual statistics shaping retinal organization and develops advanced rabies viral vectors for neural circuit mapping. His publication record (2016-2025) shows consistent contributions to sensory neuroscience, with recent work highlighting thalamic roles in multisensory integration. Key trends include methodological innovation in circuit tracing and the characterization of neural coding principles across visual and somatosensory systems. Sumser is embedded in the Vision Circuits group at LMU Munich, which examines the neural basis of visual perception in behavioral contexts. No information is available regarding students advised or research grants secured.

• Biomedical Engineering
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Andrea Ronco is a Researcher affiliated with the Department of Rehabilitation Engineering at ETH Zürich. His work focuses on advancing sensor technologies and their applications in biomedical engineering, autonomous systems, and IoT. He leads research in mmWave radar systems for non-invasive vital sign monitoring, in-ear gesture recognition, and low-power embedded sensor solutions. Professional Affiliation: Staff of Professorship for Rehabilitation Engineering Research interests span radar technology optimization, real-time signal processing for healthcare, and robust sensor fusion for autonomous vehicles. His recent work emphasizes miniaturization and energy efficiency in wearable and embedded systems. Key contributions include TinyssimoRadar and In-ear-voice platforms that integrate advanced sensing with minimal power consumption. Ronco's publications address challenges in sensor robustness against environmental conditions and real-world deployment scenarios. His research outputs demonstrate expertise in interdisciplinary domains combining electrical engineering, machine learning, and biomedical applications. Current projects likely explore next-generation sensing modalities for wearable health monitoring and smart infrastructure systems.

Senem Velipasalarمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Wireless Smart Camera Networks
• +۸ مورد دیگر

Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.