جست‌وجوی استاد و پژوهشگر

William Zeigerمشاهده پروفایل

استادیار

• Neuroscience
• Neurology
• Cortical Circuit Dysfunction
• +۵ مورد دیگر

William Zeiger is an Assistant Professor in the Department of Neurology at UCLA's David Geffen School of Medicine. He specializes in movement disorders (Parkinson's disease) and leads a research lab studying cortical circuit dysfunction in neurological conditions. His work integrates two-photon calcium imaging and molecular pathology. University of Illinois at Urbana Champaign (BS, Molecular and Cellular Biology) University of Chicago (MD, PhD in Molecular Pathology & Molecular Medicine) Johns Hopkins (Medical Internship) UCLA (Neurology Residency, Movement Disorders Fellowship) His research focuses on: Alpha-synuclein pathology in Parkinson's Post-stroke cortical remapping Calcium homeostasis in neurodegeneration Development of open-source imaging tools Mechanisms of somatosensory circuit remapping Clinical studies on physician technology adoption Recent publications highlight work on stroke recovery mechanisms (2023), imaging innovations (2023), and synucleinopathy pathophysiology (2023). The lab pursues multi-year NIH-funded projects (R01NS129517, K08NS114165). Scientific Awards 2024 Dan Lewis Foundation Prize 2018 AAN Young Investigator Scholarship 2018 Jean-Louis Riehl Award 2018 Augustus S. Rose Teaching Award 2017 Excellence in Teaching with Humanism Award Zeiger's lab has trained multiple undergraduate and graduate researchers including Sid Panda, Scarlett Ramos Rodriguez, and Rochelle Mosley. The lab collaborates widely in neuroimaging, hosts visiting scholars, and participates in community outreach programs targeting underserved neighborhoods.

• Material Science
• Nanotechnology
• Electrochemistry
• +۳ مورد دیگر

Xiaodan Hong is a Doctoral Researcher at the Department of Applied Physics, School of Science, Aalto University. Her work focuses on advanced material science, particularly MXene-based composites, hydrogel engineering, and sustainable nanomaterials. Key Research Areas: Electrochemistry, Nanotechnology, Soft Materials, and Environmental Sustainability. Recent Publications: Explored heterostructure catalysts, self-healing hydrogels, and optical security systems using nanofibers. Collaborations: Active partnerships in Finland and international networks for energy and material innovation. Her research intersects with UN Sustainable Development Goals through eco-friendly material development and renewable energy applications.

Nelson Y. Dzadeمشاهده پروفایل

استادیار

• Materials Informatics
• Computational Materials Science
• Sustainable Energy Processes
• +۵ مورد دیگر

Nelson Y. Dzade is an Assistant Professor and Undergraduate Program Chair of Energy Engineering in the John and Willie Leone Family Department of Energy and Mineral Engineering at The Pennsylvania State University's College of Earth and Mineral Sciences. He holds affiliate positions with the EMS Energy Institute, Materials Research Institute, Institute for Computational and Data Sciences, and Institutes of Energy and the Environment. As Co-Director of AESEDA (Penn State Alliance for Education, Science, Engineering, and Design with Africa), he actively promotes STEM capacity building across African universities. Education Ph.D. Computational Materials Science, University College London (2014) PGDip Materials Science, Jawaharlal Nehru Centre for Advanced Scientific Research (2010) MSc Materials Science, African University of Science and Technology (2010) BSc Mathematical Science (1st Class Hons), University for Development Studies (2007) Research Focus Dzade leads the Materials and Minerals Theory (MMT) Group, specializing in computational design of energy materials through first-principles DFT and multiscale modeling. Key research thrusts include: rational catalyst design for green hydrogen production and CO2 conversion; interfacial phenomena in solar cells; earth-abundant battery materials; and geochemical processes at mineral interfaces. His work bridges computational chemistry, materials informatics, and renewable energy applications. Publication Trends Dzade's recent publications demonstrate strong focus on computational materials design for renewable energy systems, particularly photovoltaics (perovskite/chalcogenide solar cells), electrocatalysts (hydrogen evolution, CO2 reduction), and battery materials. Over 80% of recent articles involve atomistic simulations to unravel structure-property relationships in energy materials, with experimental collaborations validating predictions. Awards and Honors U.S.-Africa Frontiers Fellowship (2025) DOE Early Career Research Award (2024-2029) G. Montgomery and Marion Mitchell Teaching Award (2025) EPSRC Innovation Research Fellowship (2018-2021) DUO-India Professor Fellowship (2020) Multiple scholarships including BP Research Fellowship and World Bank Scholarship Teaching and Mentorship Teaches Thermodynamics (EME 301), Solar Energy Systems Design (EGEE 437), and Molecular Modeling (EME 597). Leads the MMT research group with multiple graduate students, focusing on computational materials discovery. Actively mentors underrepresented minorities and founded the Africa Network of Computational Materials Scholars (AFRINETCOMS).

• Security
• Cryptography
• Embedded Systems
• +۴ مورد دیگر

Jerome Lacan is a Professor at the Higher Institute of Aeronautics and Space (ISAE) and Head of the Department of Complex Systems Engineering (DISC). He leads the BLEND research group focused on blockchains for aerospace systems and contributes to the Sysco team. PhD in Computer Science from Paul Sabatier University (Toulouse, France) Accreditation to supervise research (2008) His research spans security and cryptography, with emphasis on: Blockchains for embedded systems (drones, satellites) Threshold cryptography and post-quantum cryptography Secure satellite communications (nano-satellites, authentication) Erasure codes and network coding (TETRYS protocol) His 15 most recent supervised theses (2012–2020) demonstrate expertise in cryptographic protocols, satellite communication reliability, and coding theory. Key themes include blockchain integration in aerospace, erasure coding for multimedia, and cross-layer network optimization. He has supervised 23 theses since 2008, covering topics like physical-layer security, transport protocol interactions, and high-throughput satellite systems.

Krzysztof Koziolمشاهده پروفایل

استاد

• Aerospace Structures
• Carbon Capture and Storage
• Carbon, Climate and Risk
• +۱۵ مورد دیگر

Professor Krzysztof Koziol is a distinguished academic at Cranfield University where he serves as Professor of Composites Engineering and Head of the Composites and Advanced Materials Centre. With a background in chemistry and materials science, he earned a Royal Society University Research Fellowship for his expertise in materials research. His research spans a broad spectrum of advanced materials, with particular expertise in composites, nanomaterials, nanotechnology, aerospace structures, carbon capture and storage, renewable energy, and sustainable manufacturing. His work bridges fundamental materials science with practical applications across multiple industries including aerospace, energy, and environmental technologies. Professor Koziol's recent publications (2023-2025) demonstrate his focus on cutting-edge composite materials research, with significant contributions to water purification technologies using biodegradable composites, carbon nanotube applications, sustainable manufacturing processes, and advanced characterization techniques for nanomaterials. His research often involves interdisciplinary collaborations addressing global challenges in sustainability and advanced materials development. His scientific awards include a prestigious Royal Society University Research Fellowship. His publications consistently appear in high-impact journals across materials science, nanotechnology, and engineering disciplines. Professor Koziol actively contributes to advancing knowledge in composites engineering through his leadership of the Composites and Advanced Materials Centre, where he oversees research projects spanning from fundamental materials characterization to applied industrial solutions. His work demonstrates a strong commitment to developing sustainable materials solutions for real-world engineering challenges.

Tian Xiaمشاهده پروفایل

پژوهشگر

• Environmental Engineering
• Environmental Health
• Air Quality Monitoring
• +۶ مورد دیگر

Tian Xia, Ph.D., is a Research Investigator in the Department of Environmental Health Sciences at the University of Michigan School of Public Health. His work bridges environmental engineering and public health, focusing on air quality monitoring, exposure assessment, and health impact analysis in underserved communities. Ph.D. in Environmental Engineering (2018), University of Michigan BSc in Environment & Sustainable Development (2013), The Hong Kong Polytechnic University Research interests include air pollution mitigation , environmental justice , and community-based interventions . Key projects involve the Gordie Howe International Bridge Air Quality Monitoring , Michigan–Ontario Ozone Source Experiment , and Reducing Exposure to Air Pollutants: Detroit initiative. Recent publications span two research domains: (1) air quality in urban and industrial settings (e.g., 2024 work on school indoor air purifiers) and (2) nanotechnology for energy and robotics (e.g., 2025 studies on microgel cargo release). This interdisciplinary output reflects expertise in environmental monitoring systems and advanced material applications .

• Biomedical Image Processing
• Image Processing
• Medical Imaging
• +۱ مورد دیگر

Zhu Chen is a Researcher at RWTH Aachen University within the Faculty of Electrical Engineering and Information Technology, holding dual affiliations with the Chair of Imaging and Image Processing (led by Prof. Volkmar Schulz) and the Junior Professorship for Biomedical Image Processing (under Prof. Johannes Stegmaier). She operates from offices in ICT Cube 1 (Room 111) and ICT Cube 2 (Room 138), contributing to advanced research in medical and biological image analysis while holding an M.Sc. degree. Research Interests Chen's primary focus spans biomedical image processing, medical imaging, and computer vision with specialized applications in animal behavior tracking and embryonic development analysis. Her methodology integrates unsupervised learning for 3D temporal alignment of biological structures and foundation models for annotation streamlining, targeting efficiency improvements in developmental biology research through computational innovation. Publication Trends Analysis reveals a strategic pivot from energy management systems for hybrid transportation (2021-2022 publications on fuel cell trains/buses) to biomedical imaging (2023-2025). Current work emphasizes AI-driven solutions for biological image analysis, particularly in zebrafish embryo studies and automated animal tracking, demonstrating applied machine learning expertise across divergent scientific domains. Scientific Awards No documented scientific awards, fellowships, or honors were identified in available institutional records. Advising and Grants Public sources contain no verifiable information regarding student supervision, grant acquisitions, or funded research projects under Chen's direct leadership. Laboratory and Team Affiliations Chen actively collaborates within the Chair of Imaging and Image Processing's scientific team alongside researchers including Ankit Amrutkar and Henning Konermann. She utilizes specialized facilities such as optical systems research areas and MRI laboratories, contributing to the institute's mission in medical image processing and computational biology.

Eric Stachمشاهده پروفایل

استاد

• Materials Science
• Nanotechnology
• Electron Microscopy
• +۴ مورد دیگر

Eric Stach is a Professor in the Department of Materials Science and Engineering at the University of Pennsylvania, affiliated with the School of Engineering and Applied Science. He serves as the Director of the Laboratory for Research on the Structure of Matter and the Scientific Director of the Singh Center for Nanotechnology, where he leads cutting-edge research in nanomaterials and their applications. His research spans Nanotechnology , Electron Microscopy , and Catalysis , focusing on atomic-scale characterization, energy materials, and advanced semiconductor technologies. Key areas include fuel cell catalysts , ferroelectric memory devices , and in-situ materials analysis under operational conditions. Recent work highlights Multimodal Microscopy techniques for studying catalyst degradation, High-Pressure Gas Heating Electron Microscopy for real-time reaction monitoring, and Scalable Ferroelectric AlScN Films for next-generation electronics. His group emphasizes data-driven materials discovery and FAIR data standards to enhance reproducibility and collaboration. Current projects include CO2 Reduction Catalysts , Photoelectrochemical Systems , and Advanced Battery Materials , leveraging synchrotron radiation , liquid cell TEM , and ab initio simulations to address critical challenges in energy and nanoelectronics. The Singh Center for Nanotechnology, under his leadership, provides state-of-the-art facilities for materials synthesis , atomic-scale imaging , and multi-modal characterization , fostering interdisciplinary innovation across academia and industry.

Dhandapani Venkataramanمشاهده پروفایل

استاد

• Hybrid Organic Inorganic Perovskites
• Organic Nanoparticles
• Energy Harvesting
• +۳ مورد دیگر

Dhandapani Venkataraman is a Professor and Department Head of Chemistry at the University of Massachusetts Amherst. His research focuses on hybrid organic-inorganic perovskites (HOIPs) for energy harvesting and electronic applications, as well as organic nanoparticles and their supramolecular assemblies. Education: Ph.D., University of Illinois M.S., Indian Institute of Technology B.S., University of Madras His work explores ion transport mechanisms in HOIPs using impedance spectroscopy and x-ray diffraction, and develops water-dispersible organic nanoparticles for photovoltaics and mixed ion-electron conductors. He emphasizes hierarchical structural design from nanoscale to mesoscale. Recent publications highlight trends in perovskite stability, hole transport layers, and doping-induced disorder in conjugated polymers, with interdisciplinary applications in energy materials, electronic devices, and biomedical substrates.

• Digital Communications
• Information Theory
• Coding Theory
• +۲ مورد دیگر

Ali Emre Pusane is a Professor in the Department of Electrical and Electronics Engineering at Bogazici Universitys Faculty of Engineering. He holds a PhD in Electrical Engineering from the University of Notre Dame (2008), an MSc in Applied Mathematics, and dual MSc degrees in Electrical Engineering and Electronics/Communications. His research focuses on signal analysis theory with applications in digital communications, molecular networks, error-correcting codes, and nanoscale communication systems. Key interests include low-complexity algorithms for signal detection, modulation techniques for biological channels, and optimization of distributed systems. Recent publications demonstrate strong emphasis on molecular communication modeling, machine learning applications in signal classification, and hardware implementation of communication protocols. Articles frequently explore intersections of information theory, computational methods, and biophysics. As senior IEEE member, he leads the Bogazici University Signal Analysis Research Group (BUSARG), investigating automatic signal detection, spectrum monitoring, and emitter identification. His laboratory develops embedded systems for FEC encoders/decoders and radar signal processing.

• Artificial Intelligence
• Large Language Models
• Computer Vision
• +۷ مورد دیگر

Şener Özönder is a Full-time Associate Professor at Bogazici University, leading the Özönder Lab. His research focuses on AI agents, large language models, computer vision, and AI applications in drug discovery, materials science, and industrial cost prediction. He oversees a computing infrastructure with two 4U GPU servers (6 NVIDIA RTX 4090 GPUs) and a NAS storage system. His research interests include AI-accelerated drug discovery, nanomaterials design via AI/quantum mechanics, and on-device AI agents for real-time API interactions. Key projects include an AI-based drug discovery platform (TÜBİTAK-funded), EU-funded EUPilot for AI accelerator chips, and cloud-based battery monitoring systems (BatteLLIGENCE). Özönder advises four MS students on topics such as LLM agents and cost prediction from engineering drawings. His work bridges physics-inspired AI models with computational quantum mechanics, reflecting his background in both theoretical physics and modern AI applications. Recent projects span nano-material discovery (TÜBİTAK 3501), automotive cost estimation (TÜBİTAK 1711), and vulnerability analysis in post-quantum cryptography (TÜBİTAK BİLGEM). His articles explore AI-driven materials discovery, quantum dot design, and high-energy physics phenomena like gluon saturation and azimuthal correlations in collider experiments. The lab’s infrastructure supports large-scale simulations and machine learning workloads, with a focus on interdisciplinary innovation.

Creed F. Jonesمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Software Development
• +۵ مورد دیگر

Creed F. Jones is a Collegiate Professor and Assistant Graduate Director for MS Programs at the Bradley Department of Electrical and Computer Engineering, Virginia Tech. His expertise spans image processing, machine learning, and biomedical engineering, with a focus on eye health monitoring and AI-driven healthcare solutions. He holds a Ph.D. (2005), M.S. (1982), and B.S. (1980) in Electrical Engineering from Oakland University and Virginia Tech. His research includes developing wearable sensors for intraocular pressure monitoring, AI models for health prediction, and imaging techniques for disease detection. Recent work emphasizes scalable AI applications in critical care and obesity population analysis. Jones has contributed to over 15 peer-reviewed articles, spanning topics from medical device innovation to computer vision algorithms. Service and education roles include advising MS programs and teaching advanced courses in software development and signal processing. His interdisciplinary projects bridge computer science, biomedical engineering, and clinical medicine, addressing challenges in healthcare technology and diagnostic systems.

Wenhong Yangمشاهده پروفایل

پژوهشگر

• Nanophotonics
• Metamaterials
• Plasmonics
• +۴ مورد دیگر

Wenhong Yang is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the School of Engineering and the BIOS (Bionanophotonics Systems Laboratory) . His research focuses on advanced photonics technologies, including nanophotonics , metamaterials , and plasmonics . He explores applications in optical sensors, holography, and nanostructured devices. Recent work highlights include plasmonic-based spectrometers, meta-holograms, and superhydrophobic nanoparticle assemblies for chemical sensing. Yang’s articles emphasize innovations in smart optical systems , light manipulation , and reconfigurable metamaterials . His contributions bridge fundamental photonics research with practical applications in imaging, security, and biomedical optics. He collaborates closely with EPFL’s BIOS lab, leveraging interdisciplinary approaches to address challenges in nanoscale photonics and optical engineering.

• Nanotechnology
• Materials Science
• Surface Physics
• +۵ مورد دیگر

Dr. Stefan Facsko serves as the Head of the Ion Beam Center at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His research focuses on advancing ion beam technologies for nanoscale material modification, surface patterning, and the study of 2D materials. He leads a team exploring applications in nanotechnology, semiconductor physics, and plasmonics, with a particular emphasis on self-organized nanostructure formation and defect engineering in materials like graphene and SiC. Facsko's work integrates multidisciplinary approaches, leveraging advanced instrumentation such as helium ion microscopy and synchrotron-based techniques. His research spans from fundamental studies of ion-surface interactions to applied innovations in data storage and nanodevice fabrication. Key projects include the development of ultra-dense data storage systems using atomic defects and the creation of functional nanostructures for optoelectronics and catalysis. His laboratory, the Ion Beam Center, is a hub for cutting-edge ion beam analysis and material synthesis, collaborating on EU initiatives like the REMADE@ARI project to combine multiple analytical facilities. Recent studies highlight breakthroughs in nanopatterning Ge and MgO surfaces, magnetization dynamics in nanostructures, and the synthesis of core-shell nanomaterials through advanced ion beam processing.

Amanda Morrisمشاهده پروفایل

استاد

• Artificial Photosynthesis
• Catalysis
• Energy Storage
• +۵ مورد دیگر

Amanda Morris is a Professor in the Department of Chemistry at Virginia Tech, serving as Chair of the Department and a Faculty Fellow in the Office of the Vice President for Research and Innovation. Her research focuses on molecular materials for energy applications, including artificial photosynthesis, catalysis, and metal-organic frameworks (MOFs). She holds a B.S. from Pennsylvania State University (2005), a Ph.D. from Johns Hopkins University (2009), and completed postdoctoral research at Princeton University (2009–2011). Her research interests span light-harvesting materials, CO₂ reduction, and MOF-based systems for energy storage and environmental remediation. Key projects include investigating MOF conductivity, energy transfer mechanisms, and applications in drug delivery and chemical warfare agent degradation. Dr. Morris has received numerous awards, including the NSF CAREER Award (2016), Sloan Research Fellowship (2016), and Jimmy W. Viers Teaching Award (2022). Her work is funded by agencies like NSF, DOE, and DOD, with grants supporting projects in MOF synthesis, photocatalysis, and nanomaterials. Her lab emphasizes interdisciplinary research in materials chemistry, combining synthesis, spectroscopy, and catalytic studies. Current initiatives include MOF-based drug delivery systems and sustainable energy solutions.