جست‌وجوی استاد و پژوهشگر

• AI for Healthcare
• Wearable Computing
• Sensor Systems
• +۳ مورد دیگر

Dr. Gang Zhou is a Professor of Computer Science at William & Mary, specializing in AI for healthcare, wearable computing, and IoT systems. He holds prestigious fellowships from IEEE, AAIA, and AIIA, and serves as Editor-in-Chief of ACM Transactions on Computing for Healthcare and co-Area-Editor of IEEE IoT Journal. He received his Ph.D. from the University of Virginia in 2007. His research focuses on applying machine learning to healthcare diagnostics, sensor networks, and mobile computing. Notable contributions include innovations in wearable sensor-based health monitoring, IoT security, and AI-driven medical systems such as TremorSense for Parkinson’s disease analysis. Awards: NSF CAREER Award (2013), Plumeri Faculty Excellence Award (2015), Best Paper Awards at CHASE (2024), ACM HEALTH (2023), and IEEE Internet Computing (2020). Leadership Roles: General Chair of ACM/IEEE CHASE Conference (2019), TPC Chair (2018/2023), and Steering Committee member since 2018. Entrepreneurship: Co-founder of Motion Medix, with multiple US patents in sensor technology. He leads the HealthComp Lab and serves on the Advisory Board of the Mai Anh Do & David Nguyen Foundation. His work bridges academic research with real-world applications in healthcare and IoT security.

Kasia Duellmanمشاهده پروفایل

دانشیار

• Plant Pathology
• Agricultural Science
• Seed Potato Production
• +۳ مورد دیگر

Kasia Duellman is an Associate Professor & Extension Specialist in Seed Potato Production at the University of Idaho's College of Agricultural and Life Sciences, Department of Entomology, Plant Pathology and Nematology. She is based at the Idaho Falls Research and Extension Center. Her research focuses on improving seed potato quality through pathogen management and optimizing production practices. Key areas include tuber-borne diseases, seed health, and disease management strategies for commercial growers. Education: PhD (North Dakota State University, 2015), MS (University of Minnesota, 1993), BS (Arizona State University, 1989). Research interests include: Pathogen dynamics in seed potatoes Fungicide and biological control efficacy Seed potato production optimization Potato virus Y management via aphid monitoring Her recent work highlights advancements in deep learning for crop stress detection, fungicide seed treatments, and identification of new pathogens like Geotrichum candidum. She collaborates with industry groups and commodity boards to disseminate science-based practices. Key roles include overseeing the Southeast Idaho Aphid Monitoring Network and coordinating Ag Talk Tuesday educational sessions.

Sean Seok-Chul Kwonمشاهده پروفایل

دانشیار

• 6G Wireless Systems
• Machine Learning for Wireless Communications
• Federated Learning Applications
• +۳ مورد دیگر

Dr. Sean Seok-Chul Kwon is a Tenured Associate Professor in the Department of Electrical Engineering at California State University, Long Beach's College of Engineering. He founded and directs the Wireless Systems Evolution Laboratory (WiSE Lab) since Fall 2017, leading research in next-generation wireless systems. His research spans 6G wireless design , machine learning applications for communications, polarization diversity , and body area networks . Current projects focus on AI-driven solutions for wireless channel modeling, federated learning in UAV networks, and polarization-reconfigurable systems. His work bridges theoretical innovation with industry applications through collaborations with Intel, DARPA, NSF, and the US Army. Kwon's publication portfolio shows consistent advancement from polarization channel modeling (2010-2015) to cutting-edge AI-integrated wireless systems (2021-2025), with recent emphasis on interpretable transformers, NOMA optimization, and energy-efficient aerial data delivery. His research trajectory demonstrates progression from foundational channel studies to leadership in 6G-enabling technologies. Award highlights include: 5 IEEE Best Paper Awards Intel Invention Disclosure Awards Multiple TPC Service recognitions As an educator, Kwon advises graduate students through the WiSE Lab and teaches core EE courses. His industry experience at Intel (2015-2017) and Pantech (2001-2004) informs practical curriculum development. Current grants involve Department of Navy, NSF, and aerospace partnerships focused on next-generation wireless standards. The WiSE Lab serves as an innovation hub for wireless research, collaborating with federal agencies and industry on polarization-reconfigurable systems, UAV networks, and 6G standardization efforts.

Mihai Gheraseمشاهده پروفایل

دانشیار

• X-ray Fluorescence (XRF)
• Medical Physics
• Radiation Physics
• +۳ مورد دیگر

Mihai Gherase is an Associate Professor in the Department of Physics and Biomedical Physics at California State University, Fresno (College of Science and Mathematics). He holds a Ph.D. from Carleton University and teaches courses including Physical Optics, Radiation Physics, and Magnetic Resonance Imaging. His office is located in Science Building II (S2 311A), with Fall 2025 office hours scheduled on Mondays and Wednesdays from 10:00 AM to 12:00 PM. Research Interests: Dr. Gherase specializes in medical and biological applications of X-ray fluorescence (XRF). His work focuses on non-invasive elemental detection in human tissues (e.g., lead in bone, arsenic in skin) using microbeam XRF systems and synchrotron radiation. He developed a laboratory with a polycapillary x-ray lens capable of 15μm resolution for XRF microscopy and novel medical diagnostics. Recent Research Trends: His 15 most recent publications (2021–2025) emphasize XRF methodologies for quantifying elements (iron, zinc, strontium, lead) in biological samples like bone, teeth, breast tissue, and blood vasculature. Key themes include phantom-based validation, attenuation corrections, 2D modeling, and synchrotron applications. No awards or advised students are documented. Laboratory: Dr. Gherase built a specialized microbeam XRF facility integrating x-ray optics for high-precision in vitro studies, supporting his research into elemental distribution mechanisms in pathological tissues.

Wenlu Zhangمشاهده پروفایل

استادیار

• Computer Science
• Data Mining
• Machine Learning
• +۲ مورد دیگر

Dr. Wenlu Zhang is an Assistant Professor in the Department of Computer Engineering & Computer Science at California State University, Long Beach (CSULB). She earned her Ph.D. in Computer Science from Old Dominion University in 2016 and held a postdoctoral position at Washington State University's School of Electrical Engineering and Computer Science before joining CSULB in Fall 2017. Her academic service includes program committee roles for KDD and CIKM conferences. Her research spans machine learning, data mining, and biomedical informatics applications. Key focus areas include shark behavior classification, healthcare analytics, online review analysis, and deep learning for image segmentation in biomedical and geospatial domains. She has contributed to additive manufacturing quality control and pandemic-era online education studies. Recent work trends reveal expertise in neural networks for ecological monitoring, text analytics for business intelligence, and medical imaging AI. Her publications emphasize practical implementations of deep learning frameworks in diverse fields like marine biology, healthcare, and financial markets. Advising: Associate Advisor for Applied Data Science and Computer Science undergraduates (A-G) Contact: ECS-550, wenlu.zhang@csulb.edu

Evan Prattمشاهده پروفایل

استادیار

• Fluorescent Sensor Development
• Metal Ion Biochemistry
• Cell Signaling
• +۶ مورد دیگر

Dr. Evan Pratt is an Assistant Professor in the Department of Chemistry at Northern Michigan University. He received his B.S. in Biochemistry and Molecular Biology from Lyman Briggs College (Michigan State University) in 2010, followed by a Ph.D. in Medicinal Chemistry and Molecular Pharmacology from Purdue University in 2017. His postdoctoral training at the University of Colorado Boulder's BioFrontiers Institute focused on genetically encoded fluorescent Zn²+ sensors. Since joining NMU in Fall 2020, he has taught advanced biochemistry courses including CH 450, CH 452, and CH 454, while leading an active research program involving undergraduate scientists. Research Focus: The Pratt Lab specializes in developing cutting-edge fluorescent sensors for metal ions, particularly Mg²+. Using advanced microscopy, they investigate subcellular Mg²+ distribution, regulatory mechanisms, and interactions with cellular metabolism. Current work builds on prior research involving Zn²+ sensors and expands into collaborations with campus research groups. Notable Contributions: Dr. Pratt has published extensively on calcium and zinc signaling, including tools for zinc cell biology, vesicular targeting signals, and cAMP-ERK interactions in pancreatic cells. His recent work explores novel Mg²+ sensors and expands into cancer metabolism through IDH mutation studies. Academic Engagement: Dr. Pratt's research bridges molecular pharmacology and cellular biochemistry, with applications in diabetes research and cancer biology. He actively involves students in his research program, focusing on real-world scientific exploration.

Chengyi Quمشاهده پروفایل

استادیار

• Edge/Cloud Computing
• Cybersecurity
• Unmanned Aerial Systems
• +۳ مورد دیگر

Dr. Chengyi Qu is an Assistant Professor in the Department of Computing & Software Engineering at Florida Gulf Coast University (FGCU), affiliated with the U.A. Whitaker College of Engineering. He joined FGCU in Fall 2023 after completing his Ph.D. in Computer Science at the University of Missouri - Columbia (2023) and a Bachelor's in Software Engineering from Northeastern University (China, 2016). Prior to FGCU, he worked as a research assistant at Argonne National Lab and the Department of Energy. Education: Ph.D. in Computer Science, University of Missouri - Columbia, 2023 Bachelor of Science in Software Engineering, Northeastern University, China, 2016 Research Interests: Dr. Qu focuses on Edge/Cloud Computing, Cybersecurity, Unmanned Aerial Systems (UAS), Computer Networking, Machine Learning, and Advanced Cyberinfrastructure. His work emphasizes practical applications such as disaster response systems, drone swarm coordination, and secure video analytics. He has developed platforms like FlyNet and Dronenet-sim to support edge-to-core computing workflows for UAV applications. Grants & Advising: No specific grants or student advisees are listed in available records. His research contributions are highlighted through collaborations with institutions like Argonne National Lab and AERPAW testbed initiatives. Labs & Teams: His research involves platforms like FlyNet (for drone-edge-cloud collaboration) and Dronenet-sim (a simulation framework for UAS networks). These tools address challenges in autonomous systems, environmental routing, and secure data transmission.

• AI-driven mental health outcomes
• Substance use patterns analysis
• Alzheimer’s Disease risk factors
• +۷ مورد دیگر

Dr. Masoud Rouhizadeh is an Assistant Professor in the AI in Health Sciences initiative at the University of Florida's College of Pharmacy and Associate Director of the Intelligent Critical Care Center (IC3). He also holds an Adjunct Assistant Professor position at Johns Hopkins Medicine. His expertise spans biomedical informatics, natural language processing (NLP), and artificial intelligence (AI) applied to healthcare. Education: PhD and M.Sc. in Computer Science from Oregon Health & Science University, M.A. in Human Language Technology from University of Trento, and additional degrees in Linguistics and Computer Science. Leadership: Co-founder of Johns Hopkins' Center for Clinical NLP (C2NLP), core member of UF's AI Task Force, and leads the AI Collaboration Hub at IC3. Research focuses on AI-driven analyses of healthcare data, particularly leveraging LLMs/NLP for mental health outcomes, substance use patterns, and Alzheimer’s risk identification. His work emphasizes translational science and clinical application, supported by grants from CDC, NIA, FDA, and PCORI. Teaching includes courses on AI in pharmacy, pharmaceutical outcomes, and data interpretation, with a focus on curriculum development and interdisciplinary education. He has mentored over 30 students and clinicians, many securing positions at Harvard, UCLA, FDA, and tech giants like Google and NVIDIA. Key grants include the Alzheimer's Disease Research Center (NIA) and a CDC-funded study on lifestyle intervention barriers. His labs develop informatics infrastructure for multi-site healthcare networks and scalable NLP solutions for unstructured medical data.

• Embedded Systems Design
• Domain-Specific Modeling
• IoT in Education
• +۴ مورد دیگر

Dr. Sofia Meacham is a Professor and Principal Academic in Computing & Informatics at Bournemouth University. She holds a PhD from the University of Patras (Greece, 2000) and a Diploma in Computer and Informatics Engineering (1994). Her research focuses on embedded systems design, domain-specific modeling, IoT applications in education, and cloud computing. She has extensive experience in EU-funded projects and industry collaborations (e.g., INTRACOM Telecommunications Solutions), with over 25 years of teaching in the UK and Greece. Education PhD in Computer Science, University of Patras, Greece (2000) Diploma in Computer and Informatics Engineering, University of Patras, Greece (1994) Research Interests Dr. Meacham's work spans system-level design for embedded telecommunication systems, hardware-software co-design, and formal refinement techniques. She has recently expanded into educational technology, developing frameworks for personalized online education, AI-driven learning systems, and domain-specific languages (DSLs) for clinical protocols and physics simulations. Her work on cloud computing includes fair resource allocation algorithms and autonomic cloud management. Grants & Projects MDENET: Evaluation of a DSL for Chronic Kidney Disease protocols (EPSRC, 2023) "Towards Explainable AI" (Match-funded with BT, 2018) "Self-aware and Self-adaptive Systems" (BT, 2016) Labs & Collaborations She collaborates with medical professionals to co-create DSLs for clinical protocols and leads projects integrating IoT into educational systems. Her work with low-code platforms aims to democratize app development for healthcare.

Kiros Karamanidisمشاهده پروفایل

استاد

• Biomechanics
• Exercise Science
• Gerontology
• +۳ مورد دیگر

Professor Kiros Karamanidis is a Professor of Ageing and Exercise Science at the School of Applied Sciences, London South Bank University (LSBU), and Deputy Lead of the Sport and Exercise Science Research Centre (SESRC). He holds additional roles as Director of Postgraduate Research and Deputy Lead of the Human Sciences Bioscience and Bioengineering Research Centre. Previously, he served as an Assistant Professor for Rehabilitation and Prevention at the University of Applied Sciences, Koblenz (2012–2014) and as Senior Researcher at the German Sport University Cologne (2005–2017). He earned his PhD in Biomechanics from the German Sport University Cologne (2000–2006). His research focuses on musculoskeletal plasticity in response to mechanical loading, neural-motor system interaction during locomotion, and fall prevention in older adults. Key areas include muscle-tendon unit adaptation, injury prevention (e.g., ACL, tendon rupture), and dynamic stability control. He has authored/co-authored over 80 peer-reviewed publications and 180 conference proceedings. Recent work emphasizes wearable sensor technologies for motion monitoring (e.g., near-fall detection frameworks) and biomechanical studies on muscle activity patterns and gait perturbations. His contributions align with UN Sustainable Development Goals related to health and well-being through advancements in exercise science and clinical applications.

Raymond Leeمشاهده پروفایل

استاد

• Biomedical Engineering
• Spine Biomechanics
• Ageing and Osteoporosis
• +۳ مورد دیگر

Professor Raymond Lee serves as Associate Dean (Global Engagement) at the University of Portsmouth's Faculty of Technology and chairs the Biomedical Engineering Research Group. He specializes in spine biomechanics, musculoskeletal health, and healthcare technology, focusing on aging populations, obesity-related fracture risks, and wearable device development. His work includes international partnerships with institutions in China, Malaysia, and Vietnam, supported by British Council grants. Education: PhD in Bioengineering from the University of Strathclyde (funded by British Council Fellowship), and Commonwealth Universities Development Fellowship at King’s College London. He has served on research panels for Arthritis Research UK and Portuguese funding bodies. Research interests include spinal biomechanics, clinical engineering applications, and physical activity monitoring systems. Recent advancements include a novel method to quantify mechanical loading for musculoskeletal health and fall detection technologies for elderly care. Key achievements include securing external funding, developing clinical partnerships, and publishing over 100 peer-reviewed articles. Awards include prestigious fellowships and board governance roles at the University College of Osteopathy. His work bridges engineering and medicine, emphasizing translational research for healthcare innovation. Current projects explore obesity-fracture correlations and AI-driven predictive models for adverse birth outcomes.

Rachael Hageman Blairمشاهده پروفایل

دانشیار

• Mathematical biology
• Network analysis
• Systems biology
• +۴ مورد دیگر

Rachael Hageman Blair, PhD is an Associate Professor in the Department of Biostatistics at the University at Buffalo's School of Public Health and Health Professions. She also serves as Associate Director for Education at the Institute for Artificial Intelligence and Data Science. Blair joined the university in Fall 2011 and holds a PhD in Mathematics from Case Western Reserve University (2007), with postdoctoral training in statistical genetics at the Jackson Laboratory (2007-2011). Education: PhD, Mathematics, Case Western Reserve University (2007) MS, Mathematics, Case Western Reserve University (2006) BS, Mathematics, SUNY Fredonia (2002) Her research focuses on network analysis applied to biological and social systems, integrating mathematical modeling with high-dimensional omics data. Specializations include community/module detection, differential equations, and graphical models. Applications span Systems Biology, genotype-phenotype inference, and data integration. Contact: hageman@buffalo.edu , 709 Kimball, Buffalo NY 14214, (716) 829-2814

Mark Blythمشاهده پروفایل

استاد

• Fluid Mechanics
• Low Reynolds Number Flows
• Thin Films
• +۶ مورد دیگر

Mark Blyth is Professor of Applied Mathematics at the University of East Anglia's School of Engineering, Mathematics and Physics, where he also serves as Director of Research for Mathematics. His research focuses on fundamental and applied aspects of fluid mechanics. Research expertise includes: Low Reynolds number flows and interfacial phenomena Nonlinear wave dynamics and stability analysis Thin film hydrodynamics with electric field effects Biological fluid transport and hydroelastic waves Marangoni-driven flows and multi-layer systems Recent publications demonstrate broad contributions to theoretical and computational fluid dynamics, particularly in free-surface flows, wave stability, and inverse problem solutions. Research spans fundamental mathematical modeling to applications in biological systems and industrial processes.

Mary Henryمشاهده پروفایل

دانشیار

• Remote Sensing
• GIS
• Landscape Ecology
• +۳ مورد دیگر

Mary Henry is an Associate Professor in the Department of Geography at Miami University, affiliated with the Geospatial Analysis Center. She holds a B.A. in Geography & Environmental Studies from the University of California, Santa Barbara (1992), an M.A. in Geography from San Diego State University (1996), and a Ph.D. in Geography from the University of Arizona (2002). Her research focuses on remote sensing applications, GIS techniques, and landscape ecology, with a particular emphasis on environmental monitoring, wildfire patterns, and invasive species dynamics. Dr. Henry’s work involves satellite and multispectral data analysis to study land-use changes, fire history reconstruction, and vegetation dynamics. She has contributed to studies of burn scars in Kenya, American beech distribution in Ohio, and the impact of agricultural expansion on Midwestern ecosystems. Her methods often integrate optical and microwave remote sensing with GIS modeling to address ecological and conservation challenges. Her publications highlight advancements in detecting invasive shrubs using remote sensing, modeling dissolved organic carbon in alpine lakes, and analyzing wildfire occurrence in diverse landscapes. She has mentored graduate students who have authored or co-authored several of her papers, particularly in fire ecology and GIS applications. Mary Henry has no explicitly listed scientific awards but has maintained a prolific publication record since the late 1990s, demonstrating sustained contributions to geospatial science and environmental research. Her teaching includes courses on physical environments, natural hazards, landscape ecology, and remote sensing techniques.

James Chagdesمشاهده پروفایل

دانشیار

• Nonlinear Dynamical Systems
• Biomechanics
• Rehabilitation Engineering
• +۳ مورد دیگر

Dr. James Chagdes is an Associate Professor in the Department of Mechanical and Manufacturing Engineering at Miami University, serving as co-director of the Miami University Center for Assistive Technology. He holds a Ph.D. and B.S. in Mechanical Engineering from Purdue University (2012 and 2007, respectively). His research focuses on nonlinear dynamical systems, biomechanics, and controls, particularly in understanding human balance mechanisms to develop assistive and rehabilitative technologies. Collaborations include the Air Force Research Laboratory and interdisciplinary teams across Miami University. Education: Ph.D., Mechanical Engineering, Purdue University, 2012 B.S., Mechanical Engineering, Purdue University, 2007 Research Interests: Dr. Chagdes investigates the neural, muscular, and mechanical systems underlying human movement to design smart devices for health monitoring, fall prevention, and functional independence. His work employs wearable sensors (e.g., insoles, clothing) and technologies like balance boards and virtual reality to analyze postural stability. Current projects include studying age-related balance decline and neurological impairments, with a focus on early detection of instability mechanisms. Honors and Awards: Excellence in Teaching Award, Purdue University (2011) Grants and Advising: Dr. Chagdes actively collaborates with the Armstrong Institute for Interactive Media Studies and the Scripps Gerontology Center. His interdisciplinary projects aim to bridge biomechanics, robotics, and clinical applications. Funding sources include the Air Force Research Laboratory. Labs/Teams: Co-director of the Assistive Technology Center, leading teams in developing assistive devices and diagnostic tools for neurological and physical impairments.