جست‌وجوی استاد و پژوهشگر

Ben Ward-Cherrierمشاهده پروفایل

مدرس ارشد

• Robotics
• Computational Neuroscience
• Prosthetics
• +۲ مورد دیگر

Ben Ward-Cherrier is a Senior Lecturer in Robotics at the University of Bristol's School of Engineering Mathematics and Technology. His research focuses on biomimetic tactile sensing, neuromorphic systems for robotics, and haptic interfaces. He develops artificial tactile systems inspired by biological sensory mechanisms for applications in prosthetics, robotic manipulation, and human-robot interaction. Key research areas include neuromorphic tactile sensors that mimic biological afferents, real-time texture and edge classification algorithms, incipient slip detection for stable grasping, and vibrotactile feedback systems. Recent work integrates spiking neural networks with tactile hardware for efficient sensory processing. Publications demonstrate advancement in tactile sensing capabilities, including braille recognition in noisy environments, psychophysics-inspired benchmarking, multi-modal texture/velocity classification, and industrial applications like composite defect detection. Research bridges computational neuroscience with practical robotic systems.

Cindy Hsin-Liu Kaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Human-Robot Interaction
• Wearable Technology
• +۴ مورد دیگر

Cindy Hsin-Liu Kao is an Assistant Professor in the Department of Design + Environmental Analysis at Cornell University. Her research focuses on human-centered design of wearable technologies, blending aesthetics and cultural perspectives into on-body interfaces. She leads Cindy's Lab , exploring topics like biodegradable e-textiles, sweat-sensing systems, and modular wearable frameworks. Dr. Kao earned a Ph.D. from the MIT Media Lab, followed by a Master's in Computer Science and dual Bachelor's degrees in Computer Science and Technology Management from National Taiwan University. Prior to academia, she worked at Microsoft Research developing cosmetics-inspired wearables. Her research interests span Hybrid Body Craft , emphasizing culturally inclusive design for wearables. Notable projects include texTENG (self-powered sensors) and MediKnit (medical-grade wearable devices). She has exhibited work globally, including at the Boston Museum of Fine Art and Dutch Design Week. Her work has garnered awards such as the ACM CHI Best Paper Honorable Mention and Fast Company Innovation by Design Finalist . Current projects investigate sustainable materials ( EcoThreads ) and collaborative robotics ( Weaved Inflatable Barriers ). Dr. Kao's lab actively explores intersections between technology and culture, with a focus on democratizing wearable prototyping through toolkits like SkinKit .

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Kit Yan Chan is a Senior Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University. His research focuses on Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with applications in wireless communications, signal processing, and power systems. He has held editorial roles in journals such as Neurocomputing, Sensors, and the International Journal of Ad Hoc and Ubiquitous Computing. His teaching spans courses like Transmission and Interface Design, Advanced Research in AI, and Mobile Cloud Computing. Dr. Chan's work emphasizes interdisciplinary approaches, combining computational intelligence with engineering challenges. He has contributed to over 100 publications in areas such as resource allocation in heterogeneous networks, deep learning for load forecasting, and underwater acoustic communication systems. His research bridges theoretical advancements and practical implementations, addressing real-world problems in telecommunications, energy systems, and smart technologies. His recent projects include optimizing energy efficiency in 5G networks, developing robust power control strategies, and advancing neural network architectures for real-time applications. Collaborations with industry and global institutions underscore his commitment to impactful research.

Kirsten F Caterمشاهده پروفایل

استاد

• Human-Computer Interaction
• Virtual Reality
• Crowdsourcing
• +۲ مورد دیگر

Professor Kirsten Cater is Professor of Human-Computer Interaction at the University of Bristol and Associate Pro Vice Chancellor (Education & Students). She directs research enhancing human-environment interactions through mobile/sensor technologies. Her pioneering work spans location-based experiences, VR applications, crowdsourced data collection, and tangible interfaces for elderly users. Current projects include VR for adolescent oncology and co-design methods for minoritized older adults. As Co-Director of the Pervasive Media Studio, she leads cross-sector innovation in pervasive computing. She founded the Centre for Innovation and Entrepreneurship, creating interdisciplinary programs for developing 21st-century innovators. Her educational leadership includes developing the Temple Quarter Campus as Associate Dean for the Faculty of Engineering.

Ivano Bilenchiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Semantic Web
• Internet of Things (IoT)
• +۴ مورد دیگر

Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.

Hy Truong Sonمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Drug Discovery
• +۶ مورد دیگر

Dr. Hy Truong Son is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. He holds a Ph.D. in Computer Science from the University of Chicago and has prior experience as a Lecturer and Postdoctoral Fellow at the Halicioglu Data Science Institute, UC San Diego. His research focuses on AI-driven solutions for science and engineering, particularly deep learning applications in drug discovery, repurposing, and biomedical problem-solving through his HySonLab group. Dr. Son’s educational background includes a Ph.D. from the University of Chicago, emphasizing foundational training in computer science. His postdoctoral work at UC San Diego further solidified his expertise in data science and interdisciplinary AI applications. Research interests span AI for drug discovery, generative AI, multimodal learning, and healthcare technologies. His lab’s work integrates AI with molecular biology, medical imaging, and wearable sensor data to address challenges in precision medicine and environmental science. Notable projects include DrugPipe for drug repurposing and SilVar-Med for explainable medical imaging analysis. His recent publications highlight advancements in generative models, speech synthesis, protein design, and scalable graph neural networks. These works reflect a focus on bridging AI with real-world biomedical and engineering applications. While no awards are explicitly listed, his prolific publication record and active lab indicate significant contributions to the field. He advises students and engineers in his team, fostering collaborative research environments. Ongoing projects include wearable device datasets for mental health and multimodal biomedical knowledge graph development. Dr. Son’s HySonLab group emphasizes translational research, aiming to deploy AI solutions in clinical and scientific settings. Current efforts include optimizing molecular interactions via large language models and enhancing drug discovery pipelines through interdisciplinary computational methods.

Vinicius Prado da Fonsecaمشاهده پروفایل

استادیار

• Robotics
• Tactile Sensing
• Robotic Manipulation
• +۴ مورد دیگر

Vinicius Prado da Fonseca is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. His research focuses on advanced robotics, tactile sensing technologies, and human-robot interaction. His work integrates machine learning and artificial intelligence to improve robotic manipulation, prosthetic control, and haptic interfaces. Education background includes: Ph.D. in Electrical and Computer Engineering from University of Ottawa (2020) M.Sc. in Systems and Computing from Military Institute of Engineering, Brazil (2013) B.Sc. in Computer Science from Federal University of Tocantins, Brazil (2010) Research interests emphasize tactile perception systems, compliant robotic grippers, and bio-inspired sensor modules. Notable contributions include the BioIn-Tacto tactile sensing framework and studies on myoelectric control for upper-limb prosthetics. His work bridges theoretical machine learning with practical robotics applications in manufacturing, healthcare, and assistive technologies. Publications span over 30 peer-reviewed articles focusing on tactile datasets, sensor design, and robotic control algorithms. Recent trends show increasing emphasis on multimodal data fusion, active learning for sensor optimization, and human-centric robotics applications. Currently no listed scientific awards or grants, but maintains active collaborations in prosthetic development and industrial automation projects.

Brian Willisمشاهده پروفایل

استاد

• Nanotechnology
• Surface Science
• Electrochemistry
• +۳ مورد دیگر

Brian Willis is a Professor in the Department of Chemical & Biomolecular Engineering at the University of Connecticut’s College of Engineering. He holds a Ph.D. from MIT (1999). His research focuses on nanoscale materials, including epitaxial oxides on semiconductors, scanning tunneling microscopy, and electrocatalysis. He leads the Willis Lab, which develops advanced fabrication techniques like atomic layer deposition (ALD) for nanoscale devices. Education: Ph.D. in Chemical Engineering, MIT, 1999. Previous positions include Assistant Professor at the University of Delaware (2002–2008) and roles at Agere Systems and Bell Labs (1999–2002). Research Interests: Epitaxial oxide growth on semiconductors, molecular electronics, plasmonic nanostructures, and electrocatalyst durability for fuel cells. His work integrates experimental methods (e.g., STM, ALD) with theoretical models to advance nanoscale device design. Awards: 2007 2nd place in Nanotech Measurement Contest (with student R. Gupta), 2005 NSF Career Award, and 1992 Dow Award. His advising includes Ph.D. students Han Wang and Xiaoqiang Jiang. Professional Activities: Coordinator for AIChE Area 8E (2010), Session Chair for multiple AIChE National Meetings (2004–2008), and member of the Materials Research Society. Labs/Teams: The Willis Lab focuses on ALD innovation, plasmonic devices, and sensor arrays. Current projects include electronic nose technology and nanoscale rectennas for energy conversion.

Douglas Adamsonمشاهده پروفایل

استاد

• Materials Synthesis
• Polymer Chemistry
• Graphene Applications
• +۳ مورد دیگر

Douglas Adamson is a Professor in the Department of Chemistry at the University of Connecticut. His research focuses on materials synthesis, particularly on well-defined polymers and graphene-based composites. He utilizes high vacuum anionic polymerization and self-assembly techniques to create advanced materials with applications in energy storage, sensing, and environmental remediation. Ph.D., University of Southern California B.S., University of Evansville Research interests include: Graphene and 2D nanosheet composites Anionic polymerization for precision polymer architectures Conductive hydrogels and foams Bio-mimetic material design Flame-resistant polymer systems Recent publications highlight work on graphene-stabilized polyHIPE foams, conductive hydrogels, and bio-inspired polymer synthesis. His group explores the interplay between material microstructure and macroscopic properties through experimental and computational approaches. Lab and team activities center on creating novel polymer templates and scalable methods for graphene exfoliation. Projects include mineral separation technologies, wearable sensors, and self-assembled 3D graphene architectures.

Janet Dongمشاهده پروفایل

استاد

• Robotics
• Autonomous Vehicles
• Advanced Manufacturing
• +۴ مورد دیگر

Janet Dong is a Professor in Mechanical and Materials Engineering at the University of Cincinnati and Director of the UC Center for Robotics Research. Her work spans robotics, autonomous systems, and advanced manufacturing with applications in healthcare, space exploration, and urban infrastructure. She holds a PhD in Mechanical Engineering from Columbia University. Her research integrates: Autonomous vehicles and mobile robots Dynamic systems control Medical device innovation Industry 4.0/5.0 technologies Robotic exoskeletons and augmentation Her recent publications focus on practical robotics applications including lunar rovers, tick collection robots, medical exoskeletons, and urban maintenance systems. Research trends emphasize autonomous navigation, human-robot collaboration, space exploration technologies, and biomechanical augmentation. She leads multiple funded projects including a $1.29M Department of Energy grant for waste sorting automation and Ohio Bureau of Workers Compensation grants for human-robot safety. Her lab develops robotic solutions for lunar infrastructure, medical devices, and industrial automation.

Christopher Collinsمشاهده پروفایل

استاد

• Information Visualization
• Human-Computer Interaction
• Pen+Touch Interface Design
• +۷ مورد دیگر

Dr. Christopher Collins is a Professor of Computer Science at Ontario Tech University, leading the Visualization for Information Analysis Lab (vialab). He holds a PhD from the University of Toronto (2010) and focuses on interdisciplinary research in information visualization, human-computer interaction, and natural language processing. His work addresses challenges in information overload, text analytics, and novel interfaces such as touch, pen, VR/AR. Collins' research has been featured in top-tier venues like ACM CHI and IEEE Transactions on Visualization and Computer Graphics, earning honorable mentions and over $3M in funding as sole PI. He serves on the IEEE VIS Executive Committee and Board of Governors at Ontario Tech University. Education: PhD in Computer Science, University of Toronto (2010) MSc in Computer Science, University of Toronto (2004) BSc (Hons) in Computer Science, Memorial University (2001) Research Interests: Collins' work spans information visualization , pen+touch interfaces , visual analytics , and text-driven systems . He explores how interactive technologies can democratize complex data analysis, particularly in education, healthcare, and creative domains. Recent projects include gaze-driven learning tools, context-aware camera interfaces, and bias-mitigating product review analysis. Awards: ACM CHI Honorable Mention Award IEEE VIS Honorable Mention Award Grants & Impact: Secured $3M+ in research funding. Media coverage includes New York Times and CBS Sunday Morning for innovations in visualization and text analytics. Teaches courses in human-computer interaction, computer graphics, and information visualization. Labs & Collaborations: vialab develops tools like Lexichrome , ConToVi , and NeuroSight . Active in IEEE Visualization and ACM Interactive Media communities. Collaborates with academia and industry globally.

Guillermo C. BAZANمشاهده پروفایل

استاد

• Organic Electronics
• Materials Science
• Bioelectronic Devices
• +۳ مورد دیگر

Guillermo C. BAZAN is a Professor and Provost’s Chair Professor in the Department of Chemistry at the National University of Singapore (NUS). His research focuses on organic optoelectronic materials, bioelectronic interfaces, and advanced catalysts. He holds a B.Sc.(Hons) from the University of Ottawa (1986), a Ph.D. from MIT (1991), and completed postdoctoral studies at Caltech (1990–1992). His work spans synthesis of organic molecules for optoelectronic applications, transmembrane agents for bioelectronics, and design of novel antibiotics. He has received numerous accolades, including Fellowships from the Royal Society of Chemistry and AAAS, and awards such as the American Chemical Society Cope Scholar Award (2006) and Bessel Award (2005). Recent research emphasizes nonfullerene acceptors for photovoltaics, conjugated oligoelectrolytes for biocatalysis, and flexible thermoelectric generators. His articles (2018) highlight advancements in near-infrared optoelectronics, nanowire-based energy systems, and ultraflexible biosensors. Awards: Over 20 honors including “Most Influential Scientific Minds” (Thomson Reuters, 2015) and recognition as an ISI Highly Cited Scientist (2017). Grants/Advising: Extensive funding history via NSF, Dreyfus, and Humboldt Foundation awards; no specific students listed. Labs/Teams: Active in NUS chemistry labs developing bioelectronic materials and advanced organic semiconductors. Future work includes next-gen optoelectronic devices and antibiotic innovation.

Laura Kwongمشاهده پروفایل

استادیار

• Environmental Health
• Environmental Justice
• Global Health Equity
• +۷ مورد دیگر

Laura Kwong is an Assistant Professor in the Division of Environmental Health Sciences at the UC Berkeley School of Public Health, specializing in environmental justice and global health equity. Her work focuses on designing and evaluating engineering interventions to address health disparities in low-income countries, particularly regarding child/maternal health, air pollution, and infectious diseases. She employs community-based participatory research methods in Bangladesh, Uganda, Indonesia, China, and other regions. Dr. Kwong holds a PhD in Civil & Environmental Engineering from Stanford University, with prior experience as an ORISE Fellow at the U.S. EPA. Her interdisciplinary research integrates qualitative and quantitative methods, including randomized-controlled trials and sensor-based assessments. Key areas include household-level interventions to reduce environmental contamination, fecal exposure mitigation, and climate-resilient sanitation solutions. Her recent publications highlight community-driven solutions for energy access, fecal pathogen transmission pathways, and the impact of weather extremes on health. She leads the Global Environmental Health Equity Lab, emphasizing human-centered design in public health infrastructure. Dr. Kwong’s work bridges engineering and public health to advance equity in resource-poor settings, with a focus on interventions that address both health and environmental sustainability.

Dennis Hongمشاهده پروفایل

استاد

• Humanoids & Bipedal Robots
• Robot Locomotion & Manipulation
• Soft Actuators
• +۴ مورد دیگر

Dennis Hong is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Los Angeles (UCLA). He leads the Robotics & Mechanisms Laboratory (RoMeLa), focusing on innovative robotic systems with applications in autonomous vehicles, humanoids, and soft actuators. University affiliation: University of California, Los Angeles Academic rank: Professor Department: Mechanical and Aerospace Engineering His research interests span: Humanoids & Bipedal Robots Soft Actuators Autonomous Vehicle Systems Kinematics & Mechanism Design Recent publication trends emphasize humanoid locomotion, adaptive robotic platforms, and bio-inspired actuation systems. Notable collaborations include development of advanced soccer-playing robots (Team CHARLI) and accessibility-focused autonomous vehicles. Scientific recognition includes: 2016 URAI Best Paper Award 2015 Hyupsung Social Contribution Award 2015 RoboCup Winner Media coverage highlights his work on humanoid robots (2025 Netflix collaboration), disaster response robotics (2023), and innovations in robotic mobility systems (2022-2025).

• Biomechanics
• Tissue Engineering
• Prosthetics Design
• +۵ مورد دیگر

Professor Mark Thompson is an Associate Professor in Engineering Science at the University of Oxford and a Tutor/Fellow at Wadham College. He holds an MEng in Engineering and Materials Science (Oxford, 1997) and a PhD in Biomechanics from the University of London (2001). His research focuses on biomechanical engineering with emphasis on tissue repair, prosthetic design, and trauma modeling. Key projects include the OxVent ventilator and in vitro microvasculature systems for traumatic injury studies. His work bridges clinical and engineering challenges, addressing issues like prosthetic maintenance, musculoskeletal modeling, and biomaterials for regenerative medicine. Thompson collaborates with institutions like the Institute of Biomedical Engineering and has contributed to open-source frameworks for motion capture analysis. Current research trends involve mechanobiology of soft tissues and bioprinting for trauma research. Labs/Teams: Affiliated with the Institute of Biomedical Engineering and Oxford e-Research Centre. His work aligns with translational medicine and emergency medical device development. Future directions include optimizing 3D-printed bio-artificial tissues and advancing tactile feedback systems for prosthetics.