جست‌وجوی استاد و پژوهشگر

Juewen Liuمشاهده پروفایل

استاد

• Chemistry
• Nanotechnology
• Biosensors
• +۱ مورد دیگر

Juewen Liu is a Professor and Canada Research Chair in Biosensors and Bionanotechnology in the Department of Chemistry at the University of Waterloo, affiliated with the Faculty of Science. His research program employs principles of chemistry, physics, and biology to develop innovative nanoscale materials and systems with applications in sensing, diagnostics, and therapeutics. Research encompasses: DNA aptamer development and applications Nanoparticle engineering for biomedical use Biointerface chemistry innovations Nanozyme design and catalytic applications Liu maintains an extensive publication record in high-impact journals, with recent work emphasizing advanced biosensing platforms, targeted drug delivery systems, and nanomaterial-based solutions for environmental and health challenges. His research integrates fundamental science with practical applications in diagnostics and therapy. Teaching responsibilities include courses on nano-biomaterials and nano-instrumentation. Professor Liu collaborates extensively through the Waterloo Institute for Nanotechnology, Water Institute, and Centre for Bioengineering and Biotechnology.

Joshua Marshallمشاهده پروفایل

استاد

• Field Robotics
• Autonomous Vehicles
• Control Systems Engineering
• +۷ مورد دیگر

Joshua Marshall is a Professor of Electrical & Computer Engineering at Queen’s University, Canada, and Director of the Offroad Robotics research group. He holds a PhD from the University of Toronto and has cross-appointments in Mechanical & Materials Engineering and the Robert M. Buchan Department of Mining. His expertise spans field robotics, autonomous systems, control engineering, and harsh-environment applications in mining, space, and marine domains. He led the Ingenuity Labs Research Institute (2018–2024) and served as a Visiting Professor at Örebro University (2016–17). Dr. Marshall’s work focuses on autonomous vehicle navigation, robotic excavation, and spatiotemporal mapping. He has received the 2025 OPEA Engineering Medal and has commercialized technologies through partnerships with companies like Epiroc and RockMass Technologies. Education: PhD, Electrical & Computer Engineering, University of Toronto (2005) MSc(Eng), Mechanical Engineering, Queen’s University (2001) BSc (Hons), Engineering, (details not specified) Research Interests: Autonomous robotics in mining, space, and marine environments Data-driven control systems and model predictive control Proprioceptive sensing and terrain classification Multi-robot coordination and task planning Underground navigation and SLAM Professional Activities: Senior Member, IEEE Editorial roles: International Journal of Robotics Research , IEEE Transactions on Mechatronics Co-founded the NSERC Canadian Robotics Network (NCRN) Contributions to the IEEE Medal for Environmental & Safety Technologies Committee Labs/Teams: Offroad Robotics Group (Queen’s University) Ingenuity Labs Research Institute (founding Director) Advisor to Queen’s AutoDrive Challenge II Team and aQuatonomous ASV Design Club

Nora Ayanianمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Multi-Agent Systems
• +۴ مورد دیگر

Nora Ayanian is an Associate Professor of Computer Science and Engineering at Brown University, leading the Automatic Coordination of Teams Lab. She holds a PhD and M.S. in Mechanical Engineering from the University of Pennsylvania, followed by postdoctoral research at MIT’s CSAIL. Her work focuses on multi-robot systems, integrating task assignment, path planning, and control to enable coordinated teams of robots for applications in manufacturing, environmental monitoring, and emergency response. Affiliations: Brown University School of Engineering, Department of Computer Science. Former roles include Andrew and Erna Viterbi Associate Professor at USC and WiSE Gabilan Chair holder. Research Interests: Aerial robotics, multi-agent systems, swarm intelligence, and control systems. Notable projects include the Crazyswarm nano-quadcopter swarm and downwash dynamics research for large-scale UAV teams. Awards: 2016 MIT TR35 Innovator, NSF CAREER Award, Okawa Foundation Grant, and recognition as one of IEEE's 'AI’s 10 to Watch'. Teaching: Courses on coordinated robotics and robotics as an artistic medium. Active mentorship with awards for inspiring students and fostering diversity in STEM. Grants & Labs: Director of the Automatic Coordination of Teams Lab, with funding from NSF and industry partnerships. Research has been featured in USA Today, Discovery Channel, and Tech Insider.

Amit Moreyمشاهده پروفایل

دانشیار

• Food Safety
• Poultry Science
• Meat Quality Analysis
• +۵ مورد دیگر

Amit Morey is an Associate Professor in the Department of Poultry Science at Auburn University's College of Agriculture. His research focuses on food safety, poultry meat quality, and advanced sensing technologies. He leads projects involving biosensor development, microbial pathogen detection, and spoilage prediction using machine learning and spectral imaging. His work bridges laboratory innovations with industry applications, addressing challenges in poultry processing, packaging, and supply chain management. Education details are not explicitly listed, but his extensive publications suggest advanced training in food science, microbiology, and engineering. Research interests include antimicrobial biopolymer films, texture analysis of catfish and chicken fillets, and the application of functional ice in seafood preservation. He has pioneered methods for rapid Salmonella detection using microfluidics and fiber optics-based SERS sensors. Notable contributions include developing predictive models for spoilage using near-infrared spectroscopy and exploring cyclic temperature abuse impacts on poultry safety. His interdisciplinary approach integrates artificial intelligence with traditional food science techniques to enhance food safety and reduce waste. While no specific grants or awards are listed, his active publication record (over 100 papers from 2005–2025) indicates sustained research funding. He collaborates on projects addressing global food safety inequities, such as sensor-enabled decision support systems (SENS-D) for vulnerable communities. Lab activities include the Auburn Poultry Science Lab, focusing on meat quality assessment, microbial interventions, and smart packaging solutions. His work has direct industry impact, with applications in poultry processing plants and retail cold chain management.

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.

Peter Molnarمشاهده پروفایل

استاد

• Hydrology
• Geomorphology
• Sediment Dynamics
• +۷ مورد دیگر

Peter Molnar is a Professor at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, where he leads research in hydrology, geomorphology, and environmental engineering. His work spans river basin dynamics, sediment transport, precipitation modeling, and climate-water interactions, with field sites focused on Alpine systems. His research interests center on river basin water and sediment dynamics , precipitation analysis and stochastic modeling , fluvial systems including river networks and riparian zones , and geomorphic processes in mountain streams . Key projects include the Maggia River Experimental Site, basin sediment cascade modeling, and hydroclimatic analysis of rainfall intensity-temperature relationships. His publication record shows consistent high-impact work in journals including Nature , Nature Climate Change , and Water Resources Research , with recent focus on climate change impacts, sensor development, and sustainable agriculture. Golden Owl Award for best teaching (2011) Organizer of international workshops on geomorphology complexity and urban precipitation Patron of CometX initiative Molnar actively mentors PhD students including current candidates working on droughts in Ethiopia, Alpine Rhine sediment budgets, and mountain ecohydrology. His research is supported by Swiss National Science Foundation grants, ETH funding, and international collaborations. He leads experimental work at the Maggia River site and develops warning systems for rainfall-triggered landslides.

• Machine Learning
• Signal Processing
• Biomedical Engineering
• +۷ مورد دیگر

Professor Danilo Mandic is a leading academic in Machine Intelligence and Signal Processing at Imperial College London's Department of Electrical and Electronic Engineering. He holds roles including President of the International Neural Network Society and Distinguished Lecturer for IEEE Computational Intelligence and Signal Processing Societies. His research spans Statistical Learning, Wearable Sensing (Hearables), Financial Signal Processing, and Tensor Networks for Big Data. Key contributions include pioneering in-ear physiological sensing and developing quaternion-based adaptive filters. He has authored over 600 publications, including seminal monographs on neural networks and complex-valued signal processing. Education: PhD in Nonlinear Adaptive Signal Processing from Imperial College (1999). Professional accolades include the 2019 Dennis Gabor Award and multiple IEEE Best Paper Awards. His labs include the Financial Signal Processing & Machine Learning Lab and collaborations with the Centre for Neurotechnology. He advises numerous students and leads projects on AI ethics, graph signal processing, and biomedical applications. His work emphasizes translating research into educational curricula via participatory sensor-based learning.

Iñaki Esnaolaمشاهده پروفایل

مدرس ارشد

• Information Theory
• Machine Learning
• Cybersecurity
• +۶ مورد دیگر

Dr. Iñaki Esnaola is a Senior Lecturer at the Department of Automatic Control and Systems Engineering, University of Sheffield, and a Visiting Research Collaborator at Princeton University. He holds a MSc from the University of Navarra (2006) and a PhD from the University of Delaware (2011). His research focuses on information theory, machine learning, and cybersecurity, particularly in cyberphysical systems like smart grids. His work addresses data integrity, privacy, robust estimation, and optimal sensor placement. Research interests include: Information theory and data science, machine learning and high-dimensional statistics, cybersecurity (especially data injection attacks), privacy, robust estimation, and sensor placement optimization. Recent projects involve empirical risk minimization with regularization, stealth attacks on control systems, and compressive sensing for environmental monitoring. Key publications include studies on relative entropy in machine learning, sensor placement for sewer networks, and stealth attacks in smart grids. He leads a research group with ongoing projects in resilient cyberphysical systems and received a UKRI grant for advanced manufacturing. His work bridges theoretical foundations with real-world applications in energy systems and environmental monitoring.

• Computer Vision
• 4D Vision
• Machine Learning
• +۹ مورد دیگر

Professor Adrian Hilton is a distinguished faculty member at the University of Surrey, serving as Director of the Centre for Vision, Speech and Signal Processing (CVSSP) and Director of the Surrey Institute for People-Centred AI. He is affiliated with the School of Computer Science and Electronic Engineering and leads the Visual Media Research Lab (V-Lab). His research focuses on pioneering next-generation 4D computer vision technologies that enable machines to understand and model dynamic real-world scenes. Key areas include 3D/4D shape capture, computer vision, machine learning, graphics, and animation for applications in sports analysis, film/TV production, virtual reality, and medical imaging. His work bridges the gap between real and computer-generated imagery, with notable contributions in volumetric capture, motion capture, and free-viewpoint video. Hilton's recent publications demonstrate a strong trend toward multimodal integration, particularly combining audio and visual processing for spatial audio applications, while advancing 4D reconstruction techniques for human performance capture. His work increasingly incorporates transformer architectures and neural rendering techniques for improved illumination estimation, shadow modeling, and multi-view consistency. Scientific Awards and Recognition Two EU IST Innovation Prizes Manufacturing Industry Achievement Award Royal Society Industry Fellowship (2008-2011) Royal Society Wolfson Research Merit Award in 4D Vision (2013-2018) Fellow of the Royal Academy of Engineering (FREng) Fellow of the International Association for Pattern Recognition (FIAPR) Fellow of the Institution of Engineering and Technology (FIET) Hilton actively mentors PhD and post-doctoral researchers through his leadership of CVSSP, which has a grant portfolio exceeding £31M and comprises 170 researchers. He has successfully commercialized several technologies, including systems used by the BBC for sports commentary visualization. His research collaborations span major industry partners including BBC, BT, Sony, Framestore, and The Foundry. He co-founded the G3 Games forum and the CVMP Conference on Visual Media Production, demonstrating strong engagement with the creative industries. Current research projects include the S3A Programme Grant in Future Spatial Audio and InnovateUK's ALIVE project for 360 video reconstruction.

Sudha Mokkapatiمشاهده پروفایل

دانشیار

• Semiconductor Physics
• Photonics
• Nanotechnology
• +۳ مورد دیگر

Dr. Sudha Mokkapati is an Associate Professor in the Department of Materials Science and Engineering at Monash University. Her research focuses on semiconductor nano-photonics, nano-lasers, and nanostructured solar cells. She holds a PhD from the Australian National University (2008) and has held academic positions at Cardiff University (2016–2019) and postdoctoral roles at ANU's Centre for Sustainable Energy Systems and Research School of Physics and Engineering. Education: M.Sc. Physics, University of Hyderabad M.Tech. Materials Science and Engineering, Indian Institute of Technology Kanpur Ph.D. Physics, Australian National University Research Interests: Semiconductor nanostructures for optoelectronics Nanowire-based lasers and solar cells Photon management in thin-film solar cells Plasmonic and nanophotonic device engineering Her recent publications emphasize advancements in gas sensing technologies, photonic resonators, and nanoscale optoelectronic devices. She leads projects on chemical detection platforms and wafer-scale 2D heterostructure synthesis. Collaborations span international institutions, addressing sustainable energy and nanotechnology challenges aligned with UN Sustainable Development Goals. Grants/Projects: All-electronic platform for real-time toxic gas detection (2024–2025) Low-cost wireless sensors for chemical hazards (2021–2023) van der Waals Epitaxy for flexible optoelectronics (2017–2020) Labs/Teams: Engaged in nanophotonics and materials engineering research groups at Monash, focusing on device fabrication and characterization for energy and sensing applications.

Martin Norgrenمشاهده پروفایل

استاد

• Electromagnetic Inverse Problems
• Material Characterization
• Biomedical Imaging
• +۳ مورد دیگر

Martin Norgren is a Professor at KTH Royal Institute of Technology, leading the Department of Electromagnetic Fusion Physics. His research focuses on electromagnetic inverse problems, including material characterization, biomedical imaging (e.g., brain current sources), environmental monitoring (e.g., snow and avalanche prediction), and smart grid technologies. He specializes in reconstructing object properties using electromagnetic measurements and has contributed to applications in healthcare, energy systems, and environmental science. His work involves advanced analytical and numerical methods such as mode-matching techniques, perturbation theory, and convex optimization. Notable projects include noncontact current measurement in power grids and transformer diagnostics using microwave radiation. Norgren teaches courses in electromagnetic field theory and electrical engineering design, emphasizing practical applications and interdisciplinary collaboration. Recent research trends highlight advancements in glide/twist symmetry-based metamaterial design, waveguide analysis, and inverse scattering techniques. His studies bridge fundamental physics with applied engineering, addressing challenges in energy infrastructure and medical diagnostics. As a department head, he oversees educational and research programs at KTH, fostering innovation in electromagnetism and fusion physics. His contributions to curriculum development include project-based courses integrating theory and hands-on design.

Spyridon Pavlidisمشاهده پروفایل

دانشیار

• Power Electronics
• Semiconductor Devices
• High-Frequency Electronics
• +۳ مورد دیگر

Spyridon Pavlidis is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, leading the Laboratory for Electronics in Advanced Devices and Systems (NCSU LEADS). He is affiliated with the ME Commons Hub (CLAWS), PowerAmerica, FREEDM, and ASSIST Research Centers. His research focuses on semiconductor devices, wide bandgap materials (GaN/AlN), and their applications in power electronics, sensing, and bioelectronics. Pavlidis holds a PhD from Georgia Tech (2016) and a Master's from Imperial College London (2010). Education: Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology (2016) M.Eng in Electrical and Electronic Engineering, Imperial College London (2010) His expertise spans power electronics packaging, microwave technologies, and biosensing. Recent work includes developing GaN and AlN-based devices for high-power and high-frequency applications. Pavlidis has received prestigious awards, including the 2022 NSF CAREER Award and the 2022 Bennett Faculty Fellowship. He actively contributes to IEEE committees and technical program reviews. His funded research includes defect-state analysis in GaN diodes and bioelectronic sensors for medical applications. Pavlidis collaborates across interdisciplinary teams, advancing next-generation semiconductor technologies and wearable biosensors.

Amir Sanati Nezhadمشاهده پروفایل

استاد

• Biosensing
• Microfluidics
• Tissue Engineering
• +۶ مورد دیگر

Dr. Amir Sanati Nezhad is a Full Professor in the Department of Biomedical Engineering and Mechanical and Manufacturing Engineering at the University of Calgary's Schulich School of Engineering. He leads the BioMEMS and Bioinspired Microfluidic Laboratory and holds memberships in the Hotchkiss Brain Institute, Snyder Institute for Chronic Diseases, and Arnie Charbonneau Cancer Institute. With a PhD in Mechanical Engineering from Concordia University (2013) and postdoctoral training at Harvard and McGill, he specializes in bioinspired microfluidics, tissue engineering, biosensors, and organ-on-chip technologies. His research focuses on developing point-of-care devices for cancer, brain injury, and infectious disease diagnostics, alongside bioinspired microdevices for disease modeling. He has published over 350 peer-reviewed works and holds prestigious awards like the Canada Research Chair and Governor General’s Gold Medal. His educational background includes degrees from Isfahan University of Technology (B.S., 2006), Amirkabir University (M.S., 2009), and Concordia University (PhD, 2013). Research interests include biosensing, microfluidics, and digital health technologies. Recent articles highlight innovations in wearable biosensors, molecularly imprinted polymers, and self-powered microfluidic systems. His awards reflect contributions to both research and teaching excellence. Grants and collaborations include licensing technologies to diagnostic companies. His lab emphasizes translational research, integrating microfluidics with AI for healthcare applications. He teaches advanced biomedical engineering courses and oversees interdisciplinary projects in organ-on-chip and biomaterials.

• Advanced Materials
• Energy Storage
• Aerospace Engineering
• +۷ مورد دیگر

Prof. Alan Kin-tak Lau is an Adjunct Professor in the Department of Mechanical Engineering & Product Design at Swinburne University of Technology. He previously served as Pro Vice-Chancellor (International and Digital Research), overseeing global research collaborations and digital innovation. His expertise spans advanced materials, manufacturing, and product design, with a focus on aerospace applications, energy storage, and sustainable technologies. Lau holds adjunct roles at Chonbuk National University and is a Fellow of multiple prestigious institutions, including the European Academy of Sciences and the Royal Aeronautical Society. Affiliations: Swinburne University of Technology Roles: Adjunct Professor, Former Pro Vice-Chancellor Research interests include nanomaterials for energy storage (e.g., supercapacitors, hydrogen systems), composite materials for aerospace, and eco-friendly manufacturing. He leads interdisciplinary projects like the Aerostructures Innovation Research Hub and the Research Centre for New Energy Transition. Lau has secured over AUD 100M in grants and supervised numerous PhD projects on topics like graphene composites and additive manufacturing. Notable awards include the VEBLEO Best Scientist Award (2020), UGC Teaching Excellence Award (2013), and the Young Engineer of the Year Award (2004). He chairs international conferences and serves on boards of companies like King’s Flair International. His work bridges academia and industry, with patents and commercial applications in sustainable materials and EV technologies.

• Tropical Forest Monitoring
• Remote Sensing
• Synthetic Aperture Radar (SAR)
• +۳ مورد دیگر

Johannes Balling is a Postdoc researcher at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University. His work focuses on tropical forest monitoring using satellite remote sensing, particularly integrating Synthetic Aperture Radar (SAR) and optical data to detect forest disturbances. He has contributed to projects analyzing deforestation patterns in regions like Indonesia and the Amazon, leveraging tools like Google Earth Engine for large-scale data analysis. Research Interests: Tropical forest dynamics, SAR applications, deforestation detection, multi-source satellite data fusion. Recent work emphasizes timeliness and accuracy in disturbance mapping through innovative combinations of radar and optical sensors. Collaborations include projects with researchers like Herold and Reiche, focusing on fire-related forest changes and real-time monitoring systems. His PhD thesis (2024) explored temporally-dense satellite remote sensing for tropical forest monitoring. He has published widely on SAR-based methods and their application to environmental challenges.