جست‌وجوی استاد و پژوهشگر

Peyman Servatiمشاهده پروفایل

استاد

• Flexible Electronics
• Photovoltaic Devices
• Wearable Technology
• +۳ مورد دیگر

Peyman Servati is a Professor in the Department of Electrical & Computer Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He leads the Flexible Electronics and Energy Lab (FEEL) and the Centre for Flexible Electronics and Textiles (CFET), and is part of the Clean Energy Research Centre (CERC) and Microsystems and Nanotechnology (MiNa) Group. His research focuses on low-cost flexible solar cells, wearable technology, nanomaterials, and energy systems. Education: BASc (University of Tehran, 1998), MASc and PhD (University of Waterloo, 2000 and 2004). Pre-UBC roles included Research Associate at the University of Cambridge (2005–2011) and Senior Research Scientist at Ignis Innovation Inc. Research interests include smart textiles, flexible electronics, nanocomposites, and renewable energy applications. He has over 80 peer-reviewed publications, 4 patents, and 10 patent applications. Awards include the 2006 NSERC Canada-UK Millennium Award and 2005 NSERC Doctoral Prize. Advising highlights include supervising numerous PhD and MASc students in areas like wearable sensors, energy storage, and biomedical applications. Key labs include FEEL and CFET, focusing on textile-based electronics and sustainable energy solutions.

• Public Health
• Cardiovascular Health
• Epidemiology
• +۳ مورد دیگر

Matthew Ahmadi is a Postdoctoral Research Fellow at the University of Sydney's Sydney School of Health Sciences, part of the Faculty of Medicine and Health. He is affiliated with the Charles Perkins Centre and supervises research student Angel Bian. His work focuses on physical activity, sleep patterns, and their impacts on cardiovascular health, mortality, and chronic disease prevention. He has published extensively on device-measured behaviors, wearable technology applications, and population health studies. Ahmadi has secured grants including a National Heart Foundation Postdoctoral Fellowship and a Charles Perkins Centre Professional Development Award. Research interests span epidemiology and public health, with emphasis on translating activity metrics into clinical and policy recommendations. Recent studies investigate vigorous intermittent lifestyle physical activity (VILPA), sleep regularity's cardiovascular effects, and the role of physical activity in mitigating infectious disease risks. He contributes to the ProPASS consortium analyzing global movement behavior data. Key achievements include developing machine learning methods for activity classification (e.g., in cerebral palsy populations) and leading randomized controlled trials evaluating dog activity trackers' impact on owner behavior. His research bridges clinical, technological, and population health perspectives to address global health challenges.

• Microwave Photonics
• Machine Learning
• Sensor Technology
• +۳ مورد دیگر

Dr. Xiaoyi Tian is a Researcher at the School of Electrical and Computer Engineering, University of Sydney. They are affiliated with the University of Sydney Nano Institute and specialize in microwave photonics, sensor technology, and machine learning applications. Their research focuses on integrating machine learning with photonic sensors, particularly using microresonators and optical signal processing for high-resolution sensing. Key areas include microwave-photonic hybrid systems, signal processing algorithms, and sensor optimization. Dr. Tian has contributed to advancements in athermal sensors, subwavelength grating resonators, and recurrent neural networks for sensor performance enhancement. Their work spans conferences like OFC, CLEO-PR, and IEEE journals. No formal awards or student advisees are listed, though their publications reflect active collaboration in interdisciplinary research.

• Nanophotonics
• Integrated Microwave Photonics
• Communications Systems
• +۳ مورد دیگر

Professor Xiaoke Yi is a faculty member at the University of Sydney's School of Electrical and Computer Engineering, serving as Associate Head of Research and Director of the Photonics Research Group. He holds a BEng, MEng, and PhD from Nanyang Technological University (NTU). His research focuses on nanophotonics and integrated microwave photonics, addressing challenges in high-frequency signal processing for communications, defense, and healthcare. Notable achievements include developing non-invasive glucose monitoring technology and contributions to silicon carbide photonics. Awards include the 2018 Women in Industry Award and 2017 Bradfield Award. Research Interests : Professor Yi’s work bridges microwave engineering and optoelectronics, with applications in high-speed communication systems, radar, and biomedical sensors. His current projects involve machine learning-enhanced microwave photonic sensors and integrated photonics for defense and healthcare. Recent breakthroughs include athermal sensors using microring resonators and silicon carbide electro-optic modulators. Publications & Recognition : His work spans over 100 peer-reviewed articles in journals like Nature Communications and Journal of Lightwave Technology . Key themes include sensor design, signal processing algorithms, and photonic materials. Recent trends emphasize machine learning integration for sensor optimization and biomedical applications. Awards : 2018: Women in Industry Award (Engineering category) 2017: Bradfield Award (Engineers Australia) 2017: Australia’s Most Innovative Engineers (Engineers Australia) 2017: Sydney Accelerator Fellowship (SOAR) 2016: Vice-Chancellor’s Award for Research Engagement Labs & Teams : Leads the Photonics Research Group, collaborating with interdisciplinary teams at Sydney Nano Institute. Current projects include inverse design of photonic devices using neural networks and high-resolution optical spectrum analysis.

Douglas C. Nollمشاهده پروفایل

استاد

• Medical Imaging
• Biomedical Engineering
• Functional MRI (fMRI)
• +۵ مورد دیگر

Douglas C. Noll is the Ann and Robert H. Lurie Professor of Biomedical Engineering and Professor of Radiology at the University of Michigan. He holds key roles as Co-Director of the Functional MRI Laboratory, Co-Lead of the NeuroImaging Core at the Michigan Alzheimer’s Disease Research Center, and collaborator at the Michigan Institute for Imaging Technology and Translation (MIITT). His affiliations include the Michigan Neuroscience Institute, Center for Computational Medicine and Bioinformatics, and Michigan Concussion Center. His research focuses on advancing MRI and fMRI technologies to study brain function and neurological disorders. Key projects include rapid image acquisition, artifact elimination, physiological modeling, and MRI-guided therapies like histotripsy. Recent work emphasizes pre-clinical MRI-guided focused ultrasound systems and collaborations with neuroscientists to map brain organization in health and disease. Notable contributions include developing the Oscillating Steady State Imaging (OSSI) technique, the TOPPE framework for MRI sequence prototyping, and tools like FieldMapNet MRI for off-resonance correction. His lab addresses challenges in high-resolution fMRI, real-time motion compensation, and translational imaging for clinical applications. Current efforts span improving MRI hardware-software integration, advancing non-invasive brain therapies, and applying machine learning to enhance image reconstruction and artifact correction. Collaborations bridge engineering, neuroscience, and clinical medicine to tackle complex neurological conditions like Alzheimer’s and brain tumors.

Amin Reza Rajabzadehمشاهده پروفایل

دانشیار

• Biochemical Engineering
• Biosensors
• Separation Processes
• +۷ مورد دیگر

Dr. Amin Reza Rajabzadeh is an Associate Professor at the W Booth School of Engineering Practice and Technology, McMaster University, with affiliate roles in the McMaster School of Biomedical Engineering and Mechanical Engineering. He specializes in biochemical engineering, focusing on biosensors, bioseparation processes, and bioprocess monitoring. His research includes developing biosensors for biological process monitoring and nanotechnology-based cancer therapies. He holds a Professional Engineer license (P.Eng.) and is a member of the Canadian and American Engineering Education Associations. Dr. Rajabzadeh's teaching spans core biochemical engineering courses like Bioreactor Design and Bioprocess Control. He has received the McMaster President’s Award for Teaching and a MacPherson Leadership in Teaching Fellowship. His research clusters span Energy, Environment, Health & Bio-innovation, and Micro-Nano Systems. Recent work includes nanoplatforms for photothermal cancer therapy (ACS Applied Materials & Interfaces, 2021) and innovations in sustainable protein enrichment via tribo-electrostatic separation. Collaborations span biomaterials, environmental engineering, and nanotechnology. Awards: Teaching Excellence Awards, Leadership Fellowships Research Themes: Biosensors, Nanomedicine, Bioseparation Technologies Labs/Teams: Biomedical Engineering Research Group, Nanotechnology Applications Lab

Soufiene Djahelمشاهده پروفایل

استاد

• Connected and Autonomous Vehicles (CAVs)
• Unmanned Aerial Vehicles (UAVs)
• Cyber Security
• +۷ مورد دیگر

Soufiene Djahel is a Professor at the Centre for Future Transport and Cities (CFTC) at Coventry University, UK. His research focuses on connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), cyber security, and smart cities. He holds a PhD in Secure Routing and Medium Access Protocols from Université des Sciences et Technologies de Lille (2010), and has held academic positions including Senior Lecturer at the University of Huddersfield and Manchester Metropolitan University. His research interests include CAV coordination protocols, cyber-physical security solutions, and intelligent transportation systems. Djahel leads projects such as the £1.2M AeroPharma Logistics initiative and has secured funding from the Newton Fund and JSPS. He is a recipient of the 2021 JSPS Invitational Fellowship and has published extensively in IEEE journals and conferences. Current projects explore UAVs-as-a-service, digital twins for CAVs, and B5G/6G for smart infrastructure. He advises PhD students on topics like AI-based threat mitigation and transport electrification. Djahel also serves as an external examiner and editorial board member for journals like IEEE Transactions on Intelligent Transportation Systems.

Janki Bhimaniمشاهده پروفایل

استاد

• Emerging Memories
• Flash-Based Storage Systems
• Machine Learning
• +۷ مورد دیگر

Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.

Omprakash Gnawaliمشاهده پروفایل

دانشیار

• Internet of Things
• Smart Devices
• Wireless Sensor Networks
• +۳ مورد دیگر

Omprakash Gnawali is an Associate Professor in the Department of Computer Science at the University of Houston, with expertise in Internet of Things, wireless sensor networks, and artificial intelligence. His research focuses on advanced networking protocols, mobility analysis, and safety monitoring systems. Postdoctoral work at Stanford University PhD in Computer Science from University of Southern California Masters and Bachelors from Massachusetts Institute of Technology His research interests include Ultra-Wideband (UWB) localization, network protocol design, edge computing for monitoring systems, and mobile sensor networks. He leads the Networked Systems Laboratory , where he develops frameworks like the Collection Tree Protocol and CodeDrip for efficient data dissemination. Recent publications highlight trends in UWB-based safety monitoring, routing optimization in dual-radio networks, and deception detection in cybersecurity. He has secured NSF Student Travel Grants for ACM SenSys conferences in 2016 and 2017. Scientific Awards NSF Student Travel Grant (2017) NSF Student Travel Grant (2016) He actively mentors students in research projects and teaches courses such as Research Methods in Computer Science and Computer Networks . His service roles include Technical Program Committee memberships and chairing the TinyOS Network Protocol Working Group.

Ramana Vinjamuriمشاهده پروفایل

دانشیار

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

Zhaolin Chenمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Medical Imaging
• +۵ مورد دیگر

Zhaolin Chen is an Associate Professor in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He holds a PhD in Biomedical Imaging from Monash University and has held roles at the University of Melbourne, Florey Neuroscience Institutes, and the medical imaging industry in Europe. He is an Australian Research Council MCR Industry Fellow and leads Australia's first Point-of-Care MRI network at the National Imaging Facility. His research focuses on AI-driven medical imaging, MRI/PET methods, and multimodal data analysis. He has secured over $8M in research funding, including leadership roles in major projects like the National Mobile MRI Network. Education: PhD in Biomedical Imaging, Monash University Research Fellowships at University of Melbourne and Florey Neuroscience Institutes Research Interests: Deep learning and machine learning in medical imaging MRI/PET acquisition/reconstruction methods Multimodal imaging (e.g., simultaneous MR-PET) Translational research with 10+ patents (5 commercialized) Awards & Grants: ARC Discovery Project (Primary Chief Investigator) 5 highly cited papers (top 10% worldwide in 2021) 2021 SciVal: 90% publications in top 10% journals Recipient of Douglas Lampard Research Prize, ISMRM Magna Cum Laude Leadership & Service: President-Elect, ANZ Chapter of ISMRM (2024) Associate Editor for IEEE ISBI (2022-2023) Program Committee Member for ISMRM (2018-2021) Labs & Teams: Monash Biomedical Imaging leadership National Mobile MRI Network project leadership Collaborations across global institutions (e.g., Hyperfine Inc., University of Queensland)

Marla Kellerمشاهده پروفایل

استاد

• HIV Prevention in Women
• Vaginal Microbicides
• Pre-Exposure Prophylaxis (PrEP)
• +۴ مورد دیگر

Dr. Marla Keller is a tenured Professor of Medicine and Obstetrics & Gynecology at Albert Einstein College of Medicine, currently serving as Executive Dean and holder of the Jacob and Jeanne Barkey Chair in Medicine. Director, NIH-funded Harold and Muriel Block Institute for Clinical and Translational Research Interim Senior Associate Dean for Clinical and Translational Research Vice Chair of Research for Department of Medicine Dr. Keller's research focuses on: Biomedical HIV prevention strategies Vaginal microbicide development PrEP implementation in women Cervical cancer screening in HIV+ women Immune responses to SARS-CoV-2 COVID-19 clinical trials Her recent publications emphasize: HPV infection and cervical precancer Vaginal microbiome interactions PrEP delivery systems HIV/HSV coinfection dynamics Convalescent plasma therapy Metronidazole treatment response Key scientific awards include: Infectious Disease Mentoring Award (2013) COVID-19 Distinguished Service Award (2021) Spirit of Achievement Changemaker Award (2023) New York Super Doctor (2011-2015)

Rachel Harrisonمشاهده پروفایل

استاد

• Software Engineering
• Machine Learning
• Requirements Engineering
• +۳ مورد دیگر

Professor Rachel Harrison is a Professor in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. Her research focuses on software metrics, machine learning, and requirements engineering with emphasis on empirical and automated software engineering solutions. She has over 160 publications and extensive industry collaborations with organizations like IBM and Philips Research Labs. Her work has been recognized through roles as Editor-in-Chief of the Software Quality Journal and leadership in conferences such as ICSE and ESEM. She leads the Dependable System Engineering Centre (DSERC) and is part of the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Applied Software Engineering and Data Analytics (ASEDA) Group. Her research projects include AI applications for big data analysis (AIMi), automated review classification (ReClass), and software quality improvement (SEQUIN). Professor Harrison has served on over 50 international program committees and initiated workshops like RAISE and AIRE. Her teaching includes advanced computer science modules and leadership in courses like Essential Maths for University Study and Advanced Software Development . Her work bridges academic research and practical applications, particularly in healthcare technology (e.g., diabetes management systems) and mobile application usability. She advocates for rigorous software quality practices and has contributed to frameworks for requirements validation and risk assessment in software projects.

Tina Shoaمشاهده پروفایل

دانشیار

• Battery Technology
• Electrochemical Engineering
• Energy Storage Systems
• +۳ مورد دیگر

Tina Shoa is an Associate Professor in the School of Sustainable Energy Engineering at Simon Fraser University. She holds a Ph.D. in Electrical Engineering from the University of British Columbia (2010), an M.Sc. from the University of Manitoba (2004), and a B.Sc. from Iran University of Science and Technology (2000). Her research focuses on battery performance modeling, electrochemical methods for fault detection, sustainable battery manufacturing, and AI-based diagnostics. Education: Ph.D., Electrical Engineering, University of British Columbia, 2010 M.Sc., Electrical Engineering, University of Manitoba, 2004 B.Sc., Electrical Engineering, Iran University of Science and Technology, 2000 Research Interests: Battery performance modeling, analysis, and optimization Electrochemical and ultrasound-based battery fault detection Sustainable battery manufacturing processes AI-driven battery diagnostics Teaching and Courses: Advanced Battery and Fuel Cell Technologies Power Plant Systems Smart Grids Practicum SEE 354 D100 Energy Storage (Summer 2025) Patents: Battery State-of-health Determination upon charging (US Patent 11079437B2, 2022) Battery State-of-health Determination using multi-factor normalization (US Patent 10,302,709, 2019) Apparatus and Method for testing electrochemical systems (US Provisional Patent 62/994687, 2020) Key Contributions: Her work integrates electrochemical principles and AI to advance battery diagnostics and sustainable energy storage solutions. She has authored over 15 publications in top-tier journals and conferences, addressing battery aging, state estimation, and novel manufacturing techniques.

Sarthak Misraمشاهده پروفایل

استاد

• Medical Robotics
• Surgical Robotics
• Microrobotics
• +۳ مورد دیگر

Prof. Sarthak Misra is a Full Professor in Medical Robotics at the University of Groningen’s Faculty of Medical Sciences, affiliated with the University Medical Center Groningen (UMCG). He leads research in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) group and the Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE) team. His work focuses on advancing medical robotics, microrobotics, and magnetic actuation technologies for surgical and biomedical applications. He holds an ORCID identifier and has published over 127 research outputs, including high-impact articles in journals like Advanced Materials Technologies and European Heart Journal . His research addresses challenges in minimally invasive surgery, soft robotics, and smart materials. Media engagements highlight his contributions to robotic surgery and addressing healthcare workforce shortages through automation. Research interests include: Microrobotics and fluidic systems Magnetic and acoustic actuation for medical devices Soft robotic systems for surgical applications Image-guided interventions 3D printing for biomedical robotics His recent articles emphasize innovations like MagNoFE3D printing and magnetic probes for endovascular interventions. Collaborations span global institutions, reflecting his interdisciplinary approach. No explicit awards are listed, but his extensive media coverage and 127+ publications underscore his impact. He is involved in grants, including OTP-funded projects, and mentors students in advanced robotics and medical engineering.