جست‌وجوی استاد و پژوهشگر

Adib Zamanمشاهده پروفایل

استادیار

• Data Science
• Bioinformatics
• Operations Research
• +۳ مورد دیگر

Dr. Adib Zaman is an Assistant Professor in the School of Information Technology at the University of Cincinnati (UC), where he also serves as the Ohio Cyber Range Institute Coordinator. Prior to UC, he was a Postdoctoral Research Associate in the Pharmacotherapy and Translational Research Department at the University of Florida (2021–2022). He holds a PhD in Industrial Engineering from Texas Tech University (2021), an MS from Northern Illinois University (2018), and a BSc from Bangladesh University of Engineering and Technology (2015). His research focuses on the intersection of artificial intelligence, electronic health records (EHR) analytics, and healthcare informatics. Key areas include machine learning for predictive modeling in clinical outcomes, deep learning for medical imaging segmentation, and data-driven approaches to optimize healthcare decision-making. He has led grants such as the UC Office of the Provost Faculty Development Grant (2023–2024) and contributed to NIH-funded research on hypertension prediction. Dr. Zaman teaches courses like Advanced Storage Technologies and Data-Driven Cybersecurity at the graduate level. He actively serves on academic committees, including the College of Education, Criminal Justice, and Human Services RPT Committee, and advises the Bangladeshi Student Community at UC. His work bridges engineering, data science, and healthcare, aiming to advance clinical outcomes through computational innovation.

• Fluid Antenna Systems
• Reconfigurable Intelligent Surfaces
• Integrated Radio-Sensing
• +۴ مورد دیگر

Dr. Tuan Anh Le is a Senior Lecturer in Design Engineering at Middlesex University's Faculty of Science and Technology, Department of Design Engineering & Mathematics. He holds a B.Eng. and M.Sc. in Electronics and Telecommunications from Hanoi University of Technology, and a Ph.D. from King's College London funded by the UK's EPSRC and Mobile VCE scholarship. His research focuses on developing resource allocation strategies for next-generation wireless networks using convex optimization and nature-inspired intelligence. Key areas include reconfigurable antenna systems, integrated sensing-communications, PHY-layer security, and energy-efficient 5G/6G architectures. Recent publications demonstrate strong focus on beamforming optimization techniques using metaheuristic algorithms (especially Firefly Algorithm), cognitive radio systems, and dual-function radar-communications. Work frequently appears in IEEE Transactions journals and major telecom conferences. Supervises PhD candidates in antenna design and wireless systems. Teaches modules including Digital Signal Processing, System Design, and Mobile Communications. Previously contributed to EU-funded projects on green radio technologies.

Khan Wahidمشاهده پروفایل

استاد

• Health informatics
• Wireless capsule endoscopy
• Wearable health monitoring
• +۵ مورد دیگر

Professor Khan Wahid is a faculty member in the Department of Electrical and Computer Engineering at the University of Saskatchewan , affiliated with the Division of Biomedical Engineering . His research focuses on health informatics, IoT infrastructure, medical imaging, and wearable health monitoring , with notable contributions to wireless capsule endoscopy, smart-city applications, and sensor systems. He holds a GCC Stars in Global Health Award (2013) and has secured funding from multiple government and institutional grants. Education: BSc, MSc, PhD in relevant fields (details not specified in text). Research Interests : Health informatics & smart-health systems IoT design/deployment and drone infrastructure Medical imaging reconstruction (CT/MRI) Wireless sensor networks and body area networks Quantum-dot cellular automata (QCA) for nanoelectronics FPGA/ASIC-based embedded systems Funding & Recognition : Harper Government investment in medical imaging (2014) UofS GCC Stars in Global Health Award (2013) Advising & Grants : Supervises graduate students in interdisciplinary projects (specific names not listed). Active in securing grants for IoT-enabled healthcare and agricultural sensing systems. Collaborates on projects involving smart-pill devices, fluorometers for cancer detection, and LiDAR-based plant phenotyping. Labs & Teams : Leads projects integrating biomedical engineering, IoT, and nanotechnology within the College of Engineering. Collaborations span academic and industrial partners for medical device innovation.

Ouassima Akhrifمشاهده پروفایل

استاد

• Control Systems
• Power Electronics
• Renewable Energies
• +۶ مورد دیگر

Ouassima Akhrif is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), where she leads research in control systems and power electronics. She holds a Diplôme d'Ingénieur from Rabat, an M.Sc.A., and a Ph.D. from the University of Maryland. Her office is located at A-2575, and she can be contacted via email at ouassima.akhrif@etsmtl.ca. Dr. Akhrif directs the GREPCI Research Group (Power Electronics and Industrial Control), focusing on three primary research axes: Aeronautics and aerospace systems Sensors, networks, and connectivity Sustainable development and environmental solutions Her expertise spans nonlinear control, adaptive systems, UAV flight control, power grid stability, and renewable energy integration. Her recent publications demonstrate strong focus on UAV communication security, power grid optimization, and sustainable industrial systems. Articles frequently incorporate neural networks, model predictive control, and real-time optimization techniques applied to energy systems, aerospace control, and Industry 4.0 challenges. She has supervised over 40 graduate students, including 8 doctoral candidates and numerous Master's researchers. Student projects frequently involve UAV systems, power electronics, gas turbine control, and renewable energy applications. Industrial collaborations include Siemens Energy and aerospace partners for projects on electric propulsion, flight systems, and grid stability. As part of GREPCI, she collaborates on microgrid development, electric vehicle infrastructure, and aerospace control systems. The group maintains laboratories for power electronics prototyping, real-time simulation (Hypersim), and industrial control systems.

Chen Chenمشاهده پروفایل

مدرس

• Medical Image Analysis
• Artificial Intelligence
• Machine Learning
• +۱ مورد دیگر

Dr. Chen Chen is a Lecturer in Computer Vision at the University of Sheffield's Department of Computer Science, with affiliations at Oxford BioMedIA and Imperial College London. She holds a Ph.D. in Advanced Computing from Imperial College London, where she specialized in medical imaging and artificial intelligence. Her research develops robust machine learning algorithms for medical data analysis, focusing on cardiac, brain, and prostate imaging. She has received multiple recognitions including IEEE TMI Gold-level Distinguished Reviewer and MICCAI Outstanding Reviewer awards. Dr. Chen leads projects on multi-modal data integration for cardiac care and has published extensively on adversarial data augmentation, domain generalization, and medical vision-language models. She serves as Associate Editor for the Journal of Visual Communication and Image Representation and organizes workshops on data augmentation in medical imaging.

Toby Maurerمشاهده پروفایل

استاد

• Dermatology
• HIV/AIDS Research
• Kaposi Sarcoma
• +۳ مورد دیگر

Toby Maurer, MD is a Professor in the Department of Dermatology at the University of California, San Francisco. His research focuses on HIV-associated dermatological conditions, particularly Kaposi Sarcoma (KS), and innovative approaches to global health challenges. He leads projects integrating artificial intelligence for disease diagnosis, teledermatology for resource-limited settings, and lymphedema management in sub-Saharan Africa. His work emphasizes reducing diagnostic delays, improving chemotherapy adherence, and addressing healthcare disparities. Key areas of investigation include: AI-driven diagnostics, chemotherapy cost-effectiveness, and survivor navigation programs for KS patients. Collaborates with teams in Kenya, Uganda, and other regions to develop low-cost interventions like improvised compression bandages for KS-related lymphedema. Pioneers telemedicine solutions to enhance dermatology care accessibility in underserved areas. Research themes span immunology (CD8+ T cell dysfunction in persistent KS), epidemiology (survival outcomes in 'treat-all' HIV eras), and implementation science (health system strengthening).

• Molecular Biology
• Developmental Biology
• Evolutionary Biology
• +۳ مورد دیگر

William Gillis is an Associate Professor in the Department of Biological Sciences at the State University of New York at Old Westbury. His research focuses on molecular and developmental biology, with a strong emphasis on understanding evolutionary processes and gene regulation mechanisms. Key areas of interest include signal transduction pathways (e.g., Wnt, BMP, TGF-β), GATA transcription factors, and systems biology approaches to biological network modeling. His work spans from molecular genetics to evolutionary genomics, often utilizing model organisms like Xenopus and Platynereis dumerilli. Gillis's publications (2003–2016) highlight interdisciplinary research at the intersection of developmental biology and computational methods. Notable topics include the role of Gtpbp2 in Wnt/BMP signaling, evolutionary divergence of GATA factors, and multi-agent systems for simulating biological networks. His contributions bridge experimental and theoretical approaches to unravel complex biological systems. No scientific awards or formal advisees/students are explicitly listed in the provided texts. His professional presence is centered at SUNY Old Westbury, with no indications of part-time roles or former institutional affiliations.

Eric Keavenyمشاهده پروفایل

استاد

• Applied Mathematics
• Fluid Dynamics
• Biophysics
• +۴ مورد دیگر

Dr. Eric Keaveny is a Reader in Applied Mathematics at the Department of Mathematics, Imperial College London. He is affiliated with multiple research groups including Applied Mathematics and Mathematical Physics, Biomathematics Group, Fluid Dynamics, and Mathematics in Medicine. His work focuses on computational modeling of fluid-structure interactions, particularly in biological systems such as microorganism locomotion and cilia-driven transport. He holds an EPSRC Standard Grant and an Imperial European Partners Fund Grant, and has received the Faculty of Natural Sciences Excellence in Teaching Award (2017). His research explores topics like coordinated motion of active filaments, stochastic suspensions, and hydrodynamic interactions in complex fluids. Education: Ph.D. in Applied Mathematics (Brown University, 2008), ScM Applied Mathematics (Brown University, 2006), B.S. Applied Physics (Columbia University, 2001). Research interests include microorganism locomotion, suspensions of interacting particles, low Reynolds number hydrodynamics, and numerical methods for fluid dynamics. His recent work involves simulating ciliary transport in lungs and developing algorithms for large-scale particle simulations. Grants/Awards: EPSRC Standard Grant (2017-2021), Imperial European Partners Fund Grant (2017-2019), Fulbright Fellowship (2012). He has supervised multiple interdisciplinary collaborations, including a joint Imperial-TUM doctoral program. Teaching: Currently lectures on Computational Dynamical Systems (MATH60023/70023). Previous courses include M3/4/5N9 (Autumn 2016).

Mark Isalanمشاهده پروفایل

استاد

• Synthetic Biology
• Gene Therapy
• Molecular Engineering
• +۳ مورد دیگر

Mark Isalan is a Professor of Engineering Biology at Imperial College London’s Department of Life Sciences, part of the Faculty of Natural Sciences. He leads research in synthetic biology, focusing on designing predictable biological systems for therapeutic applications. His work spans protein engineering, gene circuit design, and gene therapy strategies, with notable contributions to zinc finger nucleases and synthetic gene networks. Education: PhD in Engineering Zinc Fingers from the MRC Laboratory of Molecular Biology (University of Cambridge, 1996–2000). Postdoctoral training at Gendaq Ltd (2000–2002) and EMBL Heidelberg (2002–2006). Group leader at EMBL-CRG Systems Biology Unit (2006–2013) before joining Imperial College London. Research Interests: Synthetic biology, gene therapy, molecular evolution, and biomedical engineering. Specific focuses include: Engineering synthetic gene networks for spatial patterning and therapeutic delivery Development of minimal transcription factors via directed evolution Applications of CRISPR and zinc finger technologies in disease modeling Grants & Projects: ERC Starting Grant (MycoSynVac project), leading a consortium on synthetic biology for vaccines and therapies. Collaborations include the UKRI Artificial Intelligence for Engineering Biology Consortium. Labs & Affiliations: Deputy Head of the Department of Life Sciences. Active in the Centre for Synthetic Biology, Centre for Advanced Therapeutics, and Integrative Systems Biology initiatives. His lab develops tools for precision gene regulation and synthetic biology-driven medical solutions.

Adam Frankمشاهده پروفایل

استاد

• Theoretical Astrophysics
• Plasma Physics
• Extraterrestrial Life
• +۳ مورد دیگر

Adam Frank is a Professor of Physics and Astronomy at the University of Rochester. He holds a PhD from the University of Washington (1992) and has held postdoctoral roles at Leiden University and the University of Minnesota. His research focuses on theoretical astrophysics, including stellar evolution, plasma dynamics, and computational modeling of astrophysical phenomena like jets from Young Stellar Objects and planetary nebulae. Frank collaborates with the Laboratory for Laser Energetics on high-energy plasma studies, investigating topics such as magnetic diffusion in interstellar clouds. Active in science communication, he has authored popular books (e.g., The Little Book of Aliens ), written for Discover and Astronomy magazines, and received awards for science writing. His work bridges astrophysics with broader cultural questions about humanity’s place in the universe. Education: PhD in Physics (1992), University of Washington. Postdoctoral roles at Leiden University and University of Minnesota. Research Interests: Theoretical astrophysics, plasma physics, exoplanet studies, and the co-evolution of biospheres and planets. Recent work explores technosignatures, the oxygen bottleneck for technospheres, and the dynamics of common envelope evolution in stars. He uses supercomputing simulations and collaborates with experimental plasma facilities like the TCV tokamak. Awards: Hubble Fellowship (1995), American Astronomical Society’s Science-Writing Prize (1999), University Bridging Fellowship (2005). His books blend rigorous science with accessible storytelling, addressing topics like extraterrestrial life and the philosophical implications of scientific discovery. Labs/Teams: Part of the University of Rochester’s Theoretical Astrophysics group and the AstroBEAR computational initiative. Collaborates with the Laboratory for Laser Energetics (LLE) on plasma astrophysics projects.

• Systems Biology
• Mathematical Biology
• Control Theory
• +۳ مورد دیگر

Dr. Irene Zorzan is a Research Fellow at the University of Surrey, affiliated with the Section of Molecular and Systems Biology within the School of Biosciences. She is part of the Faculty of Health and Medical Sciences and contributes to the Centre for Mathematical and Computational Biology. Her work bridges systems biology, control theory, and mathematical modeling to study complex biological systems. Dr. Zorzan's research focuses on mathematical modeling of gene regulatory networks, bacterial stress responses, and the application of control theory to biological systems. Specific interests include bistability mechanisms in mycobacteria, robust analysis of biochemical systems, and the design of synthetic biological circuits. She also investigates stabilization strategies for compartmental systems and consensus protocols in multi-agent networks with positivity constraints. Her recent publications highlight contributions to understanding microbial stress adaptation, optimizing control strategies in positive systems, and analyzing spatial emergent behaviors in bacterial cells. Her interdisciplinary approach integrates computational methods with experimental insights from molecular biology and microbiology.

Chuan Fohمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Wireless Communication Protocols
• 5G/6G Networks
• +۶ مورد دیگر

Dr Chuan Foh is a Senior Lecturer at the University of Surrey, affiliated with the Institute for Communication Systems within the School of Computer Science and Electronic Engineering. His research focuses on advanced communication protocols and performance analysis across diverse networks, including 5G/6G, vehicular networks, and satellite systems. He explores topics such as network security, federated learning, and reconfigurable intelligent surfaces to enhance communication efficiency and reliability. Dr Foh has contributed to over 50 peer-reviewed publications since 2015, with recent work addressing Open RAN vulnerabilities, NOMA-enhanced 5G protocols, and AI-driven network automation. His research interests span protocol design for wireless networks (e.g., IEEE 802.11bd, V2X systems), low-latency access mechanisms, and secure edge computing architectures. Collaborations involve industry standards bodies and academic institutions. He actively publishes in top-tier venues like IEEE Transactions and Vehicular Technology Conferences, with a focus on practical solutions for emerging telecom challenges. Key contributions include scalable resource allocation in MIMO-LEO satellite networks, ML-based fault detection in cellular systems, and energy-efficient UAV communication via RIS. His work bridges theoretical advancements with real-world deployment scenarios, emphasizing network security and automation in 5G/6G ecosystems.

Nophar Geifmanمشاهده پروفایل

استاد

• Health Informatics
• Artificial Intelligence in Healthcare
• Biomedical Data Analytics
• +۴ مورد دیگر

Professor Nophar Geifman is a leading academic in Health and Biomedical Informatics at the University of Surrey's School of Health Sciences, affiliated with the Digital Health Expert Group. His research focuses on leveraging AI, big data analytics, and omics technologies to improve patient outcomes in healthcare. He specializes in translational research, particularly in proteomics, genomics, and machine learning applications for disease prediction and treatment optimization. Key research areas include analyzing large datasets like the UK Biobank to study treatment outcomes in endocrine disorders, autoimmune conditions (e.g., juvenile arthritis, lupus), and renal diseases. He also explores diet-health correlations, viral pathogenesis (e.g., RSV), and methodological challenges in omics research. His work emphasizes real-world impact, such as developing clinical decision tools and improving biomarker reliability. Publications span peer-reviewed journals in rheumatology, nephrology, epidemiology, and data science. He actively addresses challenges in clinical trial data integration, reproducibility of biomarker studies, and the ethical use of large-scale health data. His interdisciplinary approach bridges computational methods with clinical practice, aiming to drive precision medicine and patient-centric care.

• Glaucoma Research
• Retinal Ganglion Cell Degeneration
• Ophthalmology
• +۳ مورد دیگر

Professor James Morgan is a leading academic and clinician in ophthalmology at Cardiff University's School of Optometry and Vision Sciences. He holds a professorial position and serves as a consultant ophthalmologist at the University Hospital of Wales. His primary research focuses on understanding optic nerve changes in glaucoma, with a particular emphasis on early detection and neuroprotection strategies. He chairs the Expert Working Group for shared care glaucoma in Wales, driving innovations in virtual clinics and clinical pathways. Morgan's work integrates clinical practice with cutting-edge research, utilizing techniques like optical coherence tomography (OCT) and retinal imaging to study structural and cellular changes in glaucoma. His lab investigates mechanisms of retinal ganglion cell death, exploring gene therapy, neurotrophic factors, and extracellular matrix modulation. Collaborations include projects on nicotinamide neuroprotection and the role of mitochondrial function in disease progression. He has authored over 200 publications, spanning clinical trials, neurobiological studies, and technological advancements in ophthalmology. His contributions include developing risk prediction models for glaucoma progression and evaluating cost-effectiveness of monitoring strategies. Morgan also engages in translational research, with studies on probiotics and Alzheimer's-linked retinal changes.

David Threadgillمشاهده پروفایل

استاد

• Cancer Genetics
• Systems Genetics
• Environmental Toxicology
• +۶ مورد دیگر

David Threadgill is the Department Head of the Department of Nutrition and a Professor at Texas A&M University's College of Agriculture & Life Sciences. His research focuses on using mouse models to study genetic and environmental factors influencing health and disease, particularly in cancer susceptibility, Erbb gene function, and responses to environmental stimuli. He leads international efforts to develop the Collaborative Cross mouse genetic resource for systems biology studies. Education: B.S. in Zoology, Texas A&M University (1983) Ph.D. in Genetics, Texas A&M University (1989) Postdoc in Genetics at Case Western Reserve University (1990–1996) Research Interests: Threadgill’s lab investigates cancer genetics (colorectal and breast cancer), epidermal growth factor receptor (EGFR) signaling in development and disease, and genetic responses to environmental factors like diet and toxins. His work integrates systems genetics approaches using the Collaborative Cross mouse population to study complex traits. Key Contributions: His research includes developing novel genetic tools, identifying susceptibility genes for ERBB2-driven tumors, and analyzing host genetics in infectious diseases. The lab’s work on mouse models has implications for personalized medicine and environmental risk assessment. Labs/Teams: Threadgill directs the Threadgill Lab (MouseLab.org), part of Texas A&M AgriLife Research, collaborating internationally on systems genetics and translational studies.