جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +۱۳ مورد دیگر

Noorbakhsh Amiri Golilarz is an Assistant Professor in the Department of Computer Science at The University of Alabama, College of Engineering. He has established himself as a prominent researcher in artificial intelligence, particularly in computer vision, deep learning, and image processing. His educational background includes: Postdoctoral Research Fellow, Computer Science, Boston College (2023) Ph.D., Electrical and Computer Engineering, Southern Illinois University Carbondale (2023) D. Eng., Computer Science and Technology, University of Electronic Science and Technology of China (2021) M.S., Electrical and Electronic Engineering, Eastern Mediterranean University (2017) B.S., Electrical Engineering, University of Guilan (2012) Dr. Golilarz's research spans multiple domains of artificial intelligence with a particular focus on computer vision, deep learning, and image processing applications. His work addresses challenges in medical imaging, satellite imagery, and cognitive neuroscience. He has made significant contributions to image denoising techniques, control chart pattern recognition, and AI applications in healthcare. His recent work has expanded into generative AI, large language models, and secure machine learning operations. His publication portfolio demonstrates consistent productivity with over 2500 citations and an h-index of 25. His most impactful work includes applications of blockchain and federated learning for COVID-19 detection, optimized support vector machines for medical diagnosis, and innovative image denoising techniques using metaheuristic optimization algorithms. Among his professional achievements: Co-founded AI Letters journal in 2024, serving as Associate Editor-in-Chief Served as Lead Guest Editor and Topic Editor for several SCI-indexed journals Held the role of Conference Program Chair Dr. Golilarz has supervised numerous graduate students and research projects, with his work spanning theoretical advancements in AI algorithms to practical applications in healthcare, energy systems, and cybersecurity. His research group has established collaborations with institutions including Boston College and Mississippi State University.

Karen Alimمشاهده پروفایل

استاد

• Biological Physics
• Morphogenesis
• Non-neuronal Information Processing
• +۴ مورد دیگر

Prof. Karen Alim is a Professor of Biological Physics and Morphogenesis at the Department of Physics, Technische Universität München (TUM), affiliated with the TUM School of Natural Sciences. She holds a PhD from the Ludwig-Maximilians-Universität München (2010) and conducted postdoctoral research at Harvard University (2010–2015) before leading a Max Planck Research Group in Göttingen. Her research focuses on non-neuronal information processing in living systems, particularly using Physarum polycephalum to study physical principles of network adaptation, fluid dynamics, and morphogenesis. Education: PhD in Physics, Ludwig-Maximilians-Universität München (2010) Studies at Universität Karlsruhe, LMU München, and University of Manchester Research Interests: Prof. Alim explores how biological systems process information without neurons, emphasizing adaptive flow networks, mechanical signaling in plants, and collective behavior in active matter. Her work combines theoretical modeling with experimental systems like slime molds and plant tissues. Awards: ERC Starting Grant (2020) Elisabeth-Schiemann-Kolleg Fellowship (2013–2018) DAAD Stipendium (2011–2014) John Birks Award (2004) Advising & Grants: While specific grant details beyond the ERC award are not listed, her research has been supported by major funding bodies. No student advisees are explicitly listed in the provided materials. Labs/Teams: Leads the Biological Physics and Morphogenesis group at TUM, focusing on interdisciplinary studies of living systems' physical principles.

ZHANG Liمشاهده پروفایل

استاد

• Small-scale Robotics
• Intelligent Systems
• Miniature Medical Robots and Platforms
• +۵ مورد دیگر

ZHANG Li is a Professor in the Department of Mechanical and Automation Engineering (MAE) and a Professor by Courtesy in the Department of Surgery at The Chinese University of Hong Kong (CUHK). He serves as Director of the SIAT-CAS-CUHK Joint Laboratory of Robotics and Intelligent Systems. Research Focus: Small-scale robotics, magnetic slime robots, microrobotic swarms, functional materials for biomedical applications. Editorial Roles: Associate Editor/Editorial Board Member of 10 journals including IEEE T-RO, IEEE/ASME T-MECH, and Advanced Intelligent Systems. His research spans translational biomedicine and minimally invasive interventions, with publications in high-impact journals like Science Robotics , Nature series, and Science Advances . His work on artificial bacterial flagella and microrobotic swarms has been recognized in the Guinness Book of World Records (2012) and Hong Kong’s Top 10 Innovation and Technology News (2022-2024). Major Awards: Fellow of IEEE, ASME, RSC, FAAIA, and FHKIE Gold medals at Geneva (2023) and IIFME2024 Multiple IEEE conference best paper awards RGC Early Career Award (2013), RGC Research Fellow Award (2021/22) He has secured over 30 competitive grants from Hong Kong RGC, ITC, Croucher Foundation, NSFC, and Shenzhen government. His projects include META System for stroke treatment and 3D Printing of Miniature Robots for ophthalmology.

Veysel Murat İstemihan Gençمشاهده پروفایل

استاد

• Power Systems
• Transient Stability Assessment
• Machine Learning in Power Systems
• +۷ مورد دیگر

Veysel Murat İstemihan Genç is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. His research is centered on modern power systems, with a focus on transient stability, cybersecurity, and integration of renewable energy sources. He actively leads multiple research projects and supervises graduate students in advanced power system technologies. Research Interests: His work spans key areas including transient stability assessment, machine learning applications in power systems, cyber-attack detection in AGC systems, and dynamic security evaluation under high renewable penetration. He employs cutting-edge techniques such as ensemble learning, deep neural networks, and hybrid optimization algorithms. Publication Trends: Recent publications (2023–2025) highlight a strong trend toward integrating AI and machine learning for real-time transient stability prediction, cybersecurity in distributed energy systems, and performance optimization of solar and wind-integrated grids. His work frequently addresses challenges in low-inertia systems and false data injection attacks. Scientific Projects: Strengthened Machine Learning-Based Dynamic Security Evaluation for Transient Stability under False Data Injection Attacks (BAP, 2025) Analysis and Control Methods for Stability of Large-Scale Low-Inertia Power Systems (BAP, 2023–2024) Dynamics Security Evaluation of Renewable-Rich and Cyber-Attacked Power Systems (BAP, 2022–2024) Risk-Based Stability Assessment and Corrective Control Methods in Power Systems (BAP, 2019–2022) Wide-Area Monitoring Protection and Control System Design Using Advanced Signal Processing and Machine Learning (TÜBİTAK, 2018–2020) Advising and Grants: He is the principal investigator (PI) on multiple funded research projects from BAP and TÜBİTAK, indicating strong grant acquisition and leadership. His supervision of 27 ongoing theses reflects an active role in mentoring graduate students in electrical engineering and power systems. Labs and Teams: While specific lab names are not mentioned, his projects suggest leadership in a research group focused on smart grid technologies, AI-enabled power system security, and renewable integration at Istanbul Technical University.

Kathleen M. Carleyمشاهده پروفایل

استاد

• Network Science
• Social Cybersecurity
• Computational Social Science
• +۴ مورد دیگر

Kathleen M. Carley is a full professor at Carnegie Mellon University's School of Computer Science with courtesy appointments in Engineering and Public Policy, Heinz School, and Electrical and Computer Engineering. As director of the Center for Computational Analysis of Social and Organizational Systems (CASOS) and the Center for Informed Democracy and Social-Cybersecurity (IDeaS) , she leads interdisciplinary research at the intersection of network science, cognitive modeling, and cybersecurity. Ph.D. in Sociology from Harvard University SB degrees in Economics and Political Science from MIT Her research focuses on Dynamic Network Analysis (DNA) and Social-Cybersecurity (SC) , developing tools like ORA (network analysis), AutoMap (semantic mining), Construct (influence simulation), and BotHunter (bot detection). She has over 400 publications and 15+ active research projects addressing disinformation, cognitive security, and organizational resilience. Recent work examines LLM-powered bots , multi-platform misinformation dynamics , and public health analytics . As an IEEE Fellow, she contributes to standards in computational social science while teaching courses on network analysis and complex socio-technical systems.

• Plant Systematics
• Mycology
• Phylogenomics
• +۶ مورد دیگر

Matthew D. Barrett is a researcher at James Cook University , specializing in plant systematics and fungal taxonomy. His work spans diverse areas including angiosperm phylogenomics, fungal biodiversity, and conservation biology of rare Australian flora. Research Focus : Phylogenomic analysis, fungal systematics, and ecological adaptations of Australian plant species. Publications : Contributed to major studies in Nature , Studies in Mycology , and Telopea , with a particular emphasis on Western Australian endemics. His recent publications highlight integrative approaches combining morphological and molecular data for taxonomic revisions, particularly in Basidiomycota and Orchidaceae.

• Applied Mathematics
• Fluid Dynamics
• Topological Chaos
• +۵ مورد دیگر

Jean-Luc Thiffeault is a Professor of Applied Mathematics at the University of Wisconsin-Madison, serving as Chair of the Department of Mathematics. His research spans applied mathematics, fluid dynamics, and topological chaos, with a focus on mixing mechanisms in viscous flows, biogenic mixing by microorganisms, and computational modeling. Key research themes include: Topology-driven fluid mixing via braid theory; Chaotic advection in low-Reynolds environments; Microswimmer interactions with boundaries and waves; Development of numerical tools for dynamical systems analysis. He has authored significant software packages like braidlab (braid analysis), rodent (ODE integration), and jlt lib (utility functions for scientific computing). Collaborative projects include studies on hagfish slime unraveling, burger flipping dynamics, and Brownian particle winding around vortices. His work is supported by NSF grants DMS-0806821 and CMMI-1233935, emphasizing interdisciplinary approaches combining mathematics, physics, and computational methods.

Yue (Jessica) Wangمشاهده پروفایل

دانشیار

• 3D printable functional polymers
• Biomimetic electronic materials
• Organic structural metamaterials
• +۵ مورد دیگر

Dr. Yue (Jessica) Wang is an Associate Professor of Chemical and Materials Engineering at the University of California, Merced. She holds additional appointments in the Chemistry and Biochemistry and Bioengineering departments, reflecting her interdisciplinary expertise. Her research focuses on creating biomimetic electronic materials that replicate biological systems' mechanical and physiological properties. Ph.D., Inorganic Chemistry (2014) - University of California, Los Angeles B.S., Chemistry (2008) - University of California, Los Angeles Dr. Wang's laboratory develops advanced materials with four core research areas: (1) dynamically adaptive electronic materials, (2) additive manufacturing of functional metamaterials, (3) organic reconfigurable materials, and (4) slime mold-aided bio-designed networks. These innovations enable patient-specific biomedical devices capable of detection, sensing, and stimulation, while prioritizing environmental and intellectual sustainability. The lab's recent research trends include 3D-printed conductive polymers, strain-invariant electronic foams, and graphene-based nanomaterials. This work intersects soft electronics, biomimicry, and advanced manufacturing techniques to create materials with unprecedented mechanical and electrical properties. Dr. Wang's team combines expertise in polymer synthesis, device fabrication, and mechanical characterization, operating at the intersection of chemistry, engineering, and biotechnology. She can be reached at yuewang@ucmerced.edu or +1 (209) 228-3611.

Bodo Wiltsمشاهده پروفایل

استاد

• Biophotonics
• Structural Color
• Nanotechnology
• +۳ مورد دیگر

Bodo Wilts is a Professor at the University of Salzburg in the Chemistry and Physics of Materials department. His research focuses on biophotonics , structural color , and photonic nanostructures in biological systems, particularly insects and beetles. Education Habilitation in Physics, University of Freiburg (2020) PhD in Physics, Rijksuniversiteit Groningen (2013) Diploma in Physics, University of Göttingen (2009) Research Trends Wilts’s recent publications highlight interdisciplinary work bridging biological optics , nanotechnology , and biomimetic materials . Key themes include: Photonic networks in insects (disordered vs. ordered structures) Self-assembly of block copolymers for advanced materials Applications of structural coloration in diagnostics and sensing 3D imaging of photonic nanostructures using X-ray tomography Projects Ra-Dia-M (2025–2026): Label-free SERS diagnostics for melanoma cells Unraveling butterfly scale morphogenesis (2022–2026): Genetics and biomechanics of butterfly scales High-aspect ratio optical structures (2024–2025): Simulation and characterization of optical metamaterials Activities Keynote on Dis/ordered photonic networks in insects (2024) Lectures on Multifunctional colors and nanostructure formation (2024) Presentations on Amorphous photonic networks (2023–2024)

Elizabeth Vargisمشاهده پروفایل

دانشیار

• Biophotonics
• Raman Spectroscopy
• Retinal Tissue Engineering
• +۵ مورد دیگر

Elizabeth Vargis is an Associate Professor in Biological Engineering at Utah State University's College of Engineering. She serves as the faculty advisor for the Society of Women Engineers and maintains an active research laboratory focused on biomedical engineering applications. Her work bridges engineering principles with biological systems to address significant medical challenges. Dr. Vargis received her educational training from prestigious institutions: BS in Bioengineering from UC Berkeley MS in Biomedical Engineering from Vanderbilt University PhD in Biomedical Engineering from Vanderbilt University Postdoctoral training at Oak Ridge National Lab and UT Knoxville Her research spans three primary domains with significant clinical relevance. In biophotonics, she develops Raman spectroscopy applications for disease detection, including work on cervical cancer screening and bacterial identification. Her retinal tissue engineering research focuses on creating in vitro models to understand age-related macular degeneration and diabetic retinopathy, with particular emphasis on the role of mechanical stress and cell detachment. Additionally, her work on muscular atrophy investigates the effects of microgravity on muscle tissue, with applications for both space travel and terrestrial medical conditions. Her lab employs a combination of experimental techniques and computational modeling to advance these research areas. Analysis of her recent publications reveals a strong trend toward increasingly sophisticated in vitro models of retinal diseases, with growing integration of microfluidic technologies and biomimetic materials. Her work has evolved from basic characterization studies to complex disease modeling systems that incorporate mechanical, biochemical, and structural components of retinal pathologies. The interdisciplinary nature of her research is evident in the diverse range of journals where she publishes, spanning biomedical engineering, ophthalmology, and space medicine. Dr. Vargis has received numerous prestigious awards recognizing both her research and mentorship excellence: Outstanding Graduate Mentor of the Year (2018, USU College of Engineering) Outstanding Researcher of the Year (2018, Department of Biological Engineering) Ralph E. Powe Junior Faculty Enhancement Award (2015, ORAU) Multiple Research Catalyst Awards from Utah State University National Science Foundation recognition and NIH fellowships She has successfully mentored numerous graduate students to completion of their degrees, with many going on to successful careers in industry and academia. Her research has been supported by diverse funding sources including the Nuclear Regulatory Commission, NIH, Oak Ridge Associated Universities, NASA Space Grant Consortium, and private foundations like the BrightFocus Foundation and Knights Templar Eye Foundation. She actively promotes undergraduate research opportunities through USU's URCO program and the College of Engineering's EURP program. The Vargis Lab operates as a dynamic, interdisciplinary research environment with multiple concurrent projects. Current work includes developing microfluidic platforms for retinal disease modeling, creating biomimetic materials using spider and hagfish silk proteins, and investigating the combined effects of microgravity and radiation on biological systems. The lab maintains strong collaborations with researchers in Electrical and Computer Engineering, particularly with Dr. Zhen Zhang on computational modeling of blood vessel growth. Lab meetings are held weekly during academic terms, fostering a collaborative environment where students present their work and receive feedback.

Henrik Kylinمشاهده پروفایل

استاد

• Environmental Chemistry
• Environmental Toxicology
• Polar Research
• +۵ مورد دیگر

Henrik Kylin is a Professor of Environmental Chemistry at Linköping University's Department of Theme, specializing in Theme Environmental Change. His work spans global, regional, and local environmental chemistry and toxicology, with significant fieldwork conducted in both Arctic and Antarctic regions. He has maintained extensive international research collaborations across Africa, Southeast Asia, Central America, Canada, Norway, Russia, the USA, the Netherlands, and Chile. Professor, Environmental Chemistry, Theme Environmental Change, Linköping University (2011-present) Professor, Environmental Chemistry, Swedish University of Agricultural Sciences (2005-2011, part-time 2005-2009) Senior Researcher, Norwegian Institute for Air Research, Polar Environment Centre (1999) PhD in Environmental Chemistry, Stockholm University (1994) Professor Kylin's research interests focus on understanding chemical behavior in the environment and the consequences of environmental toxins for human health and ecosystems. His work spans analytical chemistry, physicochemical investigations of pollutants, and toxicological studies. He has particular expertise in global pollutant transport mechanisms, especially to polar regions, pesticide analysis, and environmental issues in developing countries. His research approach integrates chemistry and biology to fully understand environmental problems, resulting in publications on diverse organism groups including birds, plants, slime molds, and tardigrades. His recent publications demonstrate his interdisciplinary approach, ranging from marine debris studies in the Indian Ocean to cetacean behavior and slime mold biology. His 2016 research on flip-flop accumulation on St. Brandon's atoll revealed nearly 30,000 plastic items on remote beaches despite minimal human presence, documenting how ocean currents transport debris across vast distances. His current research examines disinfection by-products in drinking water that may be toxic and carcinogenic. Extraordinary Professor, North-West University, South Africa Swedish chief scientist during Oden Southern Ocean expedition 2007/2008 Honorary Member, African Network for Chemical Analysis of Pesticides (2007) Royal Swedish Academy of Forestry and Agriculture's award for educational contributions (2002) Civilingenjörsförbundets miljöpris (1996, 2000) Professor Kylin has supervised 19 doctoral students, 12 of whom come from developing countries. He frequently assesses research applications and job appointments in developing nations and serves on the scientific reference group for International Programmes in Chemical Sciences. His work with malaria control has presented him with significant ethical challenges regarding balancing disease prevention with environmental protection. He has appeared in documentaries about Lake Vättern's pollution and has conducted field research worldwide, including experiences being mistaken for an imam in Zanzibar and interacting with polar bears on Wrangel Island.

Mustafa Ozerمشاهده پروفایل

دانشیار

• Coal Conversion Technologies
• Hydrometallurgical Processes
• Mineral Processing
• +۲ مورد دیگر

Mustafa Özer is an Associate Professor in Mineral Processing Engineering at Istanbul Technical University. His research focuses on coal technologies, mineral processing, and recovery of critical materials from ores and industrial residues. Education includes: Ph.D. in Mining Engineering (Istanbul Technical University, 2012) M.A. in Ore Coal Preparation and Evaluation (Istanbul Technical University, 2002) B.S. in Mining Engineering (Istanbul Technical University, 1998) Research interests encompass coal conversion technologies, hydrometallurgical processes, and sustainable resource recovery methods. He has contributed to over 100 publications and received the Best Master's Degree Award in 2002. Awards: Best Master's Degree Award (2002)

Vlassopoulos Dimitrisمشاهده پروفایل

استاد

• Rheology
• Polymer Physics
• Material Science
• +۳ مورد دیگر

Prof. Vlassopoulos Dimitris is a prominent academic affiliated with the University of Crete (Department of Materials Science & Technology) and the Foundation for Research & Technology - Hellas (FORTH), Institute of Electronic Structure & Laser. His career spans over three decades, with roles including Professor (2007–present), Associate Professor (2002–2007), and Adjunct Professor at the University of Crete. He holds a Ph.D. in Chemical Engineering from Princeton University (1990) and has held positions at Mobil Research & Development Corporation (1990–1991) and Metelco S.A. (1983–1984). Education: Diploma in Chemical Engineering, National Technical University of Athens (1983) M.A. in Chemical Engineering, Princeton University (1986) Ph.D. in Chemical Engineering, Princeton University (1990) Research Interests: His work focuses on molecular rheology, branched/ring polymers, soft colloids, nonlinear rheometry, and interfacial viscoelasticity. Key areas include polymer network dynamics, colloidal gels, and supramolecular assemblies. His contributions bridge fundamental rheology and applications in materials science. Awards: FORTH Prize for Basic Research (2009) Society of Rheology Publication Award (2011) Weissenberg Award (2015) E.C. Bingham Medal (2019) Advising & Grants: While student names are not listed, his research has been supported by grants from institutions like FORTH. His work often involves interdisciplinary collaborations, such as developing 3D bioprinting methods and exploring hagfish slime mechanics. Labs/Teams: Active in FORTH's Institute of Electronic Structure & Laser and collaborates with international groups on projects like supramolecular polymer networks and nanocomposite rheology.

Yan Yanمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Big Data Analysis
• +۷ مورد دیگر

Yan Yan is an Assistant Professor at the School of Computer Science, University of Guelph. His research focuses on bioinformatics, multi-omics analysis, and AI-driven computational models for understanding biological processes. His lab develops algorithms for genome-wide association studies, single-cell RNA-seq analysis, and de novo peptide sequencing, with applications in plant genomics and digital agriculture. Education : Not explicitly stated, but his publications suggest advanced training in bioinformatics and computational biology. Research Interests : Bioinformatics, Machine Learning, Big Data Analysis, Statistical Association, and AI applications in agriculture. His work integrates artificial intelligence with omics data to uncover disease mechanisms and improve agricultural practices. Recent trends in his publications emphasize robotics, structural health monitoring, and environmental sensing using hybrid neural networks and deep learning techniques. Grants & Awards : No awards explicitly listed, but his prolific publication record indicates sustained research activity. Advising & Labs : Advises students like B S Puliparambil and J Tomal. His lab actively collaborates on projects involving AI in agriculture, robotics, and structural engineering. Current initiatives include digital twins for human-robot collaboration and precision livestock monitoring systems. Labs/Teams : Leads a computational biology and AI lab focusing on multi-omics integration and smart agriculture solutions.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.