جست‌وجوی استاد و پژوهشگر

Peter Campochiaroمشاهده پروفایل

استاد

• Ophthalmology
• Retinal Diseases
• Oxidative Stress
• +۷ مورد دیگر

Peter Campochiaro is a Professor of Ophthalmology at the Johns Hopkins School of Medicine, Department of Ophthalmology, where he conducts cutting-edge research on retinal diseases. He is affiliated with the Neuroscience Training Program and the Visual Neuroscience Training Program, reflecting his interdisciplinary approach. His research focuses on the neurobiology of retinal degeneration, particularly retinitis pigmentosa (RP) and age-related macular degeneration (AMD). He investigates the role of oxidative stress in secondary cone death in RP and the transition to neovascular AMD, exploring therapeutic strategies such as antioxidant supplementation and gene therapy to enhance endogenous defense systems. His recent publications demonstrate a strong trend in developing sustained delivery systems for anti-VEGF agents, gene therapy vectors (AAV), and nonviral nanoparticles for suprachoroidal delivery. His work spans basic science, translational models, and clinical trials, especially in diabetic macular edema and neovascular AMD. Professor of Ophthalmology, Johns Hopkins University Research focus: Oxidative stress, retinal degeneration, gene therapy Active in clinical trials for sustained ocular drug delivery Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Dr. Campochiaro mentors numerous graduate students and postdoctoral researchers, many of whom appear as co-authors on his publications. His research is supported by extensive grant funding, evident from multi-center clinical trials and advanced therapeutic development projects, particularly in ocular gene therapy and drug delivery systems. Labs and Teams: He leads a research team focused on molecular aspects of retinal repair and regeneration, collaborating with experts in biomaterials, nanotechnology, and computational modeling to innovate ocular therapeutics.

Charity G. Moore Pattersonمشاهده پروفایل

استاد

• Biostatistics
• Clinical Trials
• Data Coordination
• +۷ مورد دیگر

Charity G. Moore Patterson is a Professor and the founding Director of the SHRS Data Center at the University of Pittsburgh’s School of Health and Rehabilitation Sciences. She is affiliated with the Department of Physical Therapy and leads major biostatistical and data coordination efforts in rehabilitation research. Her work is supported by the National Institutes of Health, PCORI, and the Department of Defense. Education: PhD in Biostatistics, University of South Carolina MSPH in Biostatistics, University of South Carolina BS in Mathematics and Statistics, Eastern Kentucky University Dr. Patterson’s research focuses on biostatistics, clinical trials, and data coordination for exercise, rehabilitation, and physical therapy studies. Her work emphasizes rigorous trial design, longitudinal data analysis, and translational applications in musculoskeletal and neurological disorders. She has contributed extensively to studies on low back pain, Parkinson’s disease, stroke recovery, and health disparities. Her recent publications reflect a strong trend in multicenter clinical trials, pragmatic study designs, and data harmonization , particularly in pain and neurorehabilitation. She frequently employs cluster-randomized, stepped-wedge, and randomized crossover designs, with a focus on real-world outcomes and healthcare utilization. Dr. Patterson serves as a reviewer for leading scientific journals and national funding agencies, contributing to the advancement of methodological standards in rehabilitation research. Advising and Grants: Mentors research teams and collaborates on federally funded projects. Principal and co-investigator on NIH, PCORI, and DoD grants focused on low back pain, vestibular recovery, and data science in rehabilitation. Labs and Teams: She leads the SHRS Data Center, a hub for biostatistical support, data management, and research coordination across interdisciplinary projects within the School of Health and Rehabilitation Sciences.

• Software Engineering
• Agile Methodology
• Simulation and Modeling
• +۴ مورد دیگر

Arne Styve is an Associate Teaching Professor at the Department of Information and Communication Technology and Natural Sciences, Norwegian University of Science and Technology (NTNU). He serves as a Studyprogram coordinator for Computing Science and teaches object-oriented programming and system development at the Bachelor level, along with simulation and visualization at the Master level. Education: B.Eng. w/Hons (Sivilingeniør) in Microelectronics and Software Engineering, University of Newcastle upon Tyne Research Interests: Specializing in Agile development, simulation modeling, and technology education. His work focuses on programming pedagogy, digital twin applications, and co-simulation frameworks. Recent research explores integrating generative AI into critical thinking practices in programming courses. Publication Trends: His publications over the past decade demonstrate expertise in simulation modeling for maritime systems, educational technology innovations, and software engineering frameworks. Key themes include digital twins, flipped classroom methodologies, and cross-campus programming education. Teaching Contributions: Instructs courses including IDATA2505 (Practice-Based Learning), IDATT2003 (Programming 2), and IDATA2302 (Algorithms & Data Structures). His pedagogical approach combines industry experience with academic innovation. Industry Experience: Over 20 years in Norwegian IT industry, including roles at Offshore Simulator Center (OSC AS), developing advanced maritime simulators and command control systems for defense applications.

Fabio Massimo Zennaroمشاهده پروفایل

دانشیار

• Machine Learning
• Causal Abstraction
• Structural Causal Models
• +۹ مورد دیگر

Fabio Massimo Zennaro is an Associate Professor in Machine Learning at the Department of Informatics, University of Bergen, and holds an honorary position at the University of Warwick. His research centers on causal abstraction, structural causal models, and the systematization of machine learning, with applications in reinforcement learning, computer security, and societal AI. His educational background includes a PhD from the University of Manchester, postdoctoral work at the University of Oslo and University of Warwick, and MSc degrees from the University of Oxford and Politecnico di Milano. His research interests span causal machine learning , fairness , uncertainty modeling , reinforcement learning , and AI ethics . He explores how causal models at different levels of abstraction can be related and exploited in real-world systems. The recent publications (2023–2025) demonstrate a strong focus on causal abstraction , interventional consistency , and surrogate modeling , published in top venues like NeurIPS, UAI, and CLeaR. His work combines theoretical rigor with practical applications in cybersecurity and decision systems. Scientific awards include: Best paper at UAI 2022 Workshop on Causal Representation Learning Turing Post-doctoral Award (PDEA), 2022 Kilburn Scholarship (2013–2016) Isabella Sassi-Bonadonna Scholarship (2012) Vulcanus Scholarship (2009) He advises students and collaborates on interdisciplinary research, though no formal list of advisees is provided. He has secured postdoctoral funding and contributes to the academic community through program committees (UAI, NeurIPS, ICLR, IJCAI) and journal reviewing (JMLR, Neural Networks, Computers & Security). He is involved in organizing the Causal Abstractions and Representations Workshop at UAI 2025. His research is conducted within the Machine Learning Group at the University of Bergen, focusing on foundational and applied aspects of AI with societal impact.

Jiaze Wangمشاهده پروفایل

استادیار

• Biogeochemical Cycles
• Sediment Transport
• Coastal Morphology
• +۷ مورد دیگر

Jiaze Wang is an Assistant Professor in the School of Earth and Climate Sciences at the University of Maine, where he conducts interdisciplinary research at the intersection of geology, oceanography, and climate science. His work focuses on understanding Earth system responses to climate change through integrated approaches combining field observations, laboratory experiments, and advanced numerical modeling. Research Interests: Dr. Wang's research spans multiple dimensions of coastal and marine systems, with emphasis on biogeochemical cycles in water and sediment, sediment dynamics, coastal morphological evolution, and deltaic systems. He investigates how rising sea levels alter freshwater-saltwater interactions and influence greenhouse gas emissions from coastal wetlands. His work also includes paleo-environmental reconstructions and the development of process-based models such as the Genome-based EmergeNt Ocean Microbial Ecosystem Model (GENOME) to simulate microbial controls on nutrient and carbon cycling. His methodological toolkit includes sensor-based field monitoring, wet-lab experimentation, and high-resolution numerical simulations. Although no recent publications are listed in the provided text, his ongoing projects suggest strong engagement in climate-driven coastal system modeling, carbon flux estimation, and ecosystem response prediction under global change scenarios. Scientific Awards: No personal awards are mentioned in the provided text. Advising and Grants: Dr. Wang advises graduate students in the School of Earth and Climate Sciences, with recent successes including Rachael’s thesis defense and Anna Johnston’s receipt of the 2025 Maine Wetlands Research Award for her work on tidal marsh pond dynamics. While specific grant funding is not listed, his active research group and modeling efforts imply external support. The lab is currently not recruiting new graduate students for 2025. Labs and Research Groups: Dr. Wang leads a research group based in Room 114 of the Bryand Global Science Center at the University of Maine. The team explores biological-geological interactions in coastal systems, focusing on carbon sequestration and biogeochemical dynamics under changing climatic conditions using both observational and modeling approaches.

Stephan Noppمشاهده پروفایل

پژوهشگر

• Sports Informatics
• Football Performance Analysis
• Teaching Games for Understanding
• +۷ مورد دیگر

Dr. Stephan Nopp is a researcher at the Institute of Exercise Training and Sport Informatics, part of the German Sport University Cologne. His work lies at the intersection of sports science, informatics, and performance analysis, particularly in football. He contributes to both empirical research and theoretical frameworks in game-based training and player behavior. His research interests focus on understanding cognitive and physical performance in team sports. Key areas include scanning behavior, defensive transitions, and the validity of fitness tests in real-game contexts. He also engages with pedagogical models such as Teaching Games for Understanding (TGfU), aiming to improve coaching and learning methodologies in sports. The trends in his publications show a consistent focus on data-driven analysis of football performance, integrating psychological and physiological dimensions. His work often involves large-scale match data, player tracking, and validation of training protocols, contributing to both applied and theoretical sports science. Dr. Nopp has collaborated on externally funded research projects, including 'Spielanalyse in Sportspielen' (Game Analysis in Sports), which ran from 2019 to 2020. While no formal students or advising roles are listed, his collaborative network includes prominent researchers in sports informatics and cognition. He is affiliated with a dynamic research group focusing on sport informatics and team game analysis, contributing to a broader network of scholars working on cognition, training, and performance in elite sports.

Scott A. Dellanaمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Quality Management
• +۷ مورد دیگر

Scott A. Dellana is a Professor in the Department of Marketing and Supply Chain Management at the College of Business, East Carolina University. He has previously served as Interim Chair of his department and Chair of the Department of Decision Sciences, demonstrating strong leadership within the college. His research spans key areas in operations and supply chain management, with a strong emphasis on quality management, quality control in service and supply chain contexts, and mathematical modeling for forecasting and process analysis. His work bridges engineering and business disciplines, reflecting his dual background. The published research of Scott Dellana appears in top-tier journals such as International Journal of Operations & Production Management , Interfaces , Journal of Quality Technology , and Computers & Operations Research , indicating a sustained and impactful scholarly trajectory. His work often integrates quantitative methods with real-world operational challenges. Scott Dellana is a member of prestigious honor societies including Chi Epsilon, Tau Beta Pi, and Beta Gamma Sigma, reflecting excellence in both engineering and business. While no specific awards are listed, his publication record and leadership roles signify high professional recognition. He has advised academic initiatives and contributed to curriculum development through his administrative roles. Though specific grants are not mentioned, his research in applied operations suggests engagement with practical and industry-relevant problems. His prior experience in defense and manufacturing sectors likely informs collaborative and funded research directions. While no formal lab or research team is mentioned in the text, his focus on applied modeling and quality systems suggests potential involvement in interdisciplinary research centers or industry partnerships within the College of Business.

Ulf Gräweمشاهده پروفایل

پژوهشگر

• Particle Dynamics
• Tropical/Subtropical Coastal Circulations
• Wind Waves
• +۳ مورد دیگر

Ulf Gräwe is a researcher at the Leibniz Institute for Baltic Sea Research , focusing on coastal and estuarine dynamics, with expertise in particle transport, wave-flow interactions, and Baltic Sea hydrology. His work bridges numerical modeling and empirical analysis of marine systems. Key research areas: Particle Dynamics, Coastal Circulations, Wave-Flow Coupling Primary affiliation: Leibniz Institute for Baltic Sea Research (Warnemünde, Germany) Email: ulf.graewe@io-warnemuende.de Research Trends : Recent publications emphasize extreme sea level events , storm surge uncertainties , machine learning applications in discharge forecasting, and military legacy contamination in the Baltic Sea. His studies integrate 3D hydrodynamic modeling , Lagrangian transport analysis , and climate change impact assessments on coastal systems. Projects : Involved in M-LAB (sea level rise impacts on coastal defenses) and BMIP (Baltic Sea model intercomparison), with a focus on anthropogenic interventions like channel deepening and ecosystem responses to stratification and salinity changes.

• Nanomechanics
• Nanomaterials
• Low Dimensional Materials
• +۱۱ مورد دیگر

Dr. Travis Shihao Hu is an Associate Professor in the Department of Mechanical Engineering at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. His career includes prior roles as a Teaching Assistant Professor at the University of Denver and postdoctoral research at Case Western Reserve University, University of Florida, and University of Delaware. He leads the Bio-Nano Materials and Interfaces Lab, focusing on bio-inspired design of multifunctional materials for energy, biomedical, and environmental applications. Affiliation : California State University, Los Angeles Previous Roles : University of Denver (Teaching Assistant Professor), Case Western Reserve University, University of Florida, University of Delaware (Postdoctoral Researcher) Lab : Bio-Nano Materials and Interfaces Lab Dr. Hu’s research spans Bio-/Nano-Materials and Mechanics , Multifunctional Energy Materials and Devices , and Nanotechnology , emphasizing bio-inspired design, structure-function relationships, interfacial interactions, and multiscale modeling. His work aims to solve engineering problems using biological models, creating stimuli-responsive materials like switchable adhesives and self-healing coatings for renewable energy and defense sectors. Recent publications highlight his expertise in 2D materials , quantum dots , and bimimetic robotics . Despite no explicitly listed scientific awards, his research is supported by major grants including NSF DMR BMAT, DoD DURIP (ARO), La Kretz Environment Endowment, and NSF-CREST/PREM centers. Teaching interests include Statics, Fracture Mechanics, Nanomaterials, and Molecular Dynamics simulations.

Guido F. Verbeckمشاهده پروفایل

استاد

• Mass Spectrometry
• Instrument Design and Development
• Single-Cell Analysis
• +۸ مورد دیگر

Guido F. Verbeck is a Professor and Department Chair in the Department of Chemistry and Biochemistry at Augusta University, within the College of Science and Mathematics. He also serves as Associate Dean for Research and Graduate Studies. His research centers on mass spectrometry, with a focus on instrument design, single-cell analysis for cancer biomarkers, nanoparticle toxicology, and biomolecular condensates. Ph.D. in Chemistry, Texas A&M University, 2005 M.S. in Chemistry, University of Alabama at Birmingham, 1999 B.S. in Chemistry, University of Louisiana at Monroe, 1996 Dr. Verbeck's research interests include mass spectrometry , instrument development , single-cell chemical analysis , nanoparticle toxicology , and forensic chemistry . His lab, the Laboratory for Imaging Mass Spectrometry (AU-LIMS), supports interdisciplinary research in chemistry, biochemistry, toxicology, environmental science, and forensics. He emphasizes a student-centered approach, training students in advanced analytical techniques. His recent publications span topics such as the analysis of fentanyl analogs, portable detection of chemical warfare agents, and toxicological effects of silver nanoparticles. These works reflect a strong trend in analytical method development , forensic applications , and environmental and pharmaceutical toxicology , often leveraging novel mass spectrometry techniques for real-world impact. Dr. Verbeck has received several scientific honors, including: Election to the National Academy of Inventors (2024) Inclusion in Dallas Innovates Future 50 (2021, 2025) Recognition as Associate Dean for Research and Graduate Studies at University of North Texas (2018) He actively mentors students through undergraduate and graduate research (CHEM 4990, CHEM 6990), teaches instrumental analysis, and has secured research support through institutional and collaborative grants. His editorial roles include serving as Editor for the Journal of Analytical Oncology and as a member of the Editorial Review Board for the Journal of the American Society for Mass Spectrometry. He is also involved in professional service through the Society of Applied Spectroscopy and the International Council on Materials Education. The Laboratory for Imaging Mass Spectrometry (AU-LIMS) houses advanced instrumentation including Thermo LTQ-Orbitrap, Waters Xevo APGC triple quadrupole, and multiple QTrap systems, supporting research in imaging, spectroscopy, and portable detection. The lab also features confocal Raman and fluorescence microscopy for integrated chemical imaging.

• Additive Manufacturing
• Aerospace Engineering
• Multidisciplinary Design Optimization
• +۷ مورد دیگر

Carlo Giovanni Ferro is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino. He is also a member of the Interdepartmental Center Photonext, focusing on applied photonics. His research spans aerospace engineering, additive manufacturing, and multidisciplinary design optimization. University: Politecnico di Torino Department: DIMEAS Role: Assistant Professor Research Interests: Additive manufacturing for aerospace structures Multifunctional smart structures Innovative anti-icing systems Lunar construction materials Thermal and mechanical performance of lattice trusses Teaching: Main teacher for PhD course on Additive Manufacturing for Multifunctional Aerospace Components Collaborator for Master's courses on Aerospace Systems Modeling and Simulation Instructor for Bachelor's courses on Aerospace On-Board Systems Projects: SmartCore (2024-2025) - Scientific Responsible Anti-icing wing panel impact tests (2025-2026) - Scientific Responsible Commercial research projects in structural analysis and thermal management Patents: Gasdynamic Nozzle for Endoreactors (with Aimasso, Bertone, Maggiore) Anti-Icing System for Aircraft (with Maggiore) Collaborations: Collaborator in multidisciplinary aerospace projects with international teams Advisor to PhD student Matteo Bertone

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +۷ مورد دیگر

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.

• Algorithmic Game Theory
• Computational Social Choice
• Theoretical Computer Science
• +۳ مورد دیگر

Themistoklis Melissourgos is a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering at the University of Essex. He is a member of the Artificial Intelligence research group and the Centre for Computational Finance and Economic Agents. Prior to joining Essex, he held postdoctoral positions at TU Munich in the Operations Research group under Prof. Andreas S. Schulz, and at the University of Liverpool. PhD in Computer Science, University of Liverpool (supervised by Prof. Paul Spirakis) BSc in Electrical and Computer Engineering, University of Patras His research lies at the intersection of Theoretical Computer Science and Economics , with a primary focus on Algorithmic Game Theory and Computational Social Choice . He investigates the computational complexity of problems in these domains and develops exact and approximation algorithms. His work often addresses fundamental questions in market equilibria, fair division, and strategic computation. The recent publications of Dr. Melissourgos span top-tier conferences such as FOCS , STOC , ICALP , AAAI , and AAMAS . A clear trend in his work is the establishment of strong inapproximability results for problems in computational economics and game theory, particularly within complexity classes like PPAD and PPA. His research on the Pure-Circuit problem and consensus halving has provided foundational hardness results. He also explores applications in computational finance, such as optimizing trading strategies with genetic algorithms. Scientific Service: Program Committees: AAMAS 2025, ECAI 2024/2025, SAGT 2022/2023/2025, IJCAI 2021-2024, AAAI 2020/2023-2025 Reviewer: For numerous top conferences (STOC, FOCS, SODA, etc.) and journals (JACM, SICOMP, etc.) Organizing: SAGT 2016, MFCS 2018; Co-organized seminars on Complexity of Total Search Problems and Fair Division at TU Munich Dr. Melissourgos has an active teaching record, having served as a Teaching Assistant and Instructor at the University of Liverpool for courses in algorithms, AI, and computational game theory. At the University of Essex, he is a Module Supervisor for courses in quantitative finance and financial engineering. He has not been awarded any specific scientific prizes mentioned in the text, and there is no information about research grants. He has not published a list of advisees, suggesting he may be early in his faculty career. He is actively involved in his research community and contributes significantly to the academic service of his field.

• Landscape-scale fire simulation
• Fire management
• Climate change effects on fire regimes
• +۷ مورد دیگر

Professor Geoff Cary serves as Associate Director (Research) at the Fenner School of Environment & Society at The Australian National University (ANU). With a PhD in Ecology from ANU and a Bachelor of Applied Science (Environmental Biology) with Honors from the University of Technology Sydney, he has established himself as a leading researcher in fire ecology and management. Geoff's research spans landscape-scale fire simulation, fire ecology across multiple biological scales, house loss in wildland fires, and laboratory fire behavior experimentation. He has developed expertise in modeling fire regimes under climate change and co-led an international group of landscape-scale wildland fire simulation modelers. His work bridges fundamental ecological research with practical fire management applications. Analyzing his publication record reveals a consistent focus on fire behavior prediction, fire ecology, and fire management. His recent work increasingly incorporates remote sensing technologies, climate modeling, and interdisciplinary approaches that connect fire science with Indigenous knowledge systems and wildlife conservation. His research demonstrates a progression from theoretical fire ecology to applied fire management solutions. Geoff has served in significant leadership roles including Associate Director (Higher Degree Research) and membership on multiple committees including the Fenner School Executive Committee and College of Systems and Society research committee. He was Associate Editor (2002-2023) and remains on the Editorial Advisory Committee for the International Journal of Wildland Fire. Professor Cary has supervised 23 Higher Degree Research scholars (18 completed PhD, 3 current PhD, 2 completed MPhil) and 19 Honours scholars, with his students publishing approximately 30 journal articles from their thesis research. His teaching portfolio includes 'Fire in the Environment' and contributions to courses on climate change, environmental policy, and sustainability. His research is organized through multiple projects including 'Re-emergence of First Nations burning in contemporary grassy woodlands,' 'ANU-Optus Bushfire project: Evaluation of Fire Detection Techniques,' and 'Analysis of ACT LiDAR remote sensing for bushfire fuel characteristics.'

• Quantum Technologies
• Solid-State Spectroscopy
• Diamond Quantum Science
• +۵ مورد دیگر

Marcus Doherty is an Honorary Professor at the Australian National University, affiliated with the Physics Education Centre and leading the Diamond Quantum Science and Technology research program. His career spans theoretical and experimental advancements in diamond-based quantum technologies, including quantum microscopy, computing, and communications. Education: Ph.D. and Bachelor's degrees in Engineering and Science from the University of Melbourne. Research: Focus on optical defects in diamond (particularly NV centers), their theoretical modeling, and applications in quantum technologies. Key Contributions: First self-consistent theory of NV centers, enabling sensitive quantum electrometry, nanothermometry, and biomedical applications like thermoablative cancer therapy. Awards: Ruby-Payne Scott Award (2016), Geoff Opat Award (2015), Chancellor's Prize for Excellence in PhD (2013), and multiple fellowships and grants. Marcus' recent work explores defect discovery, quantum microscopy, and room-temperature quantum computing. His research bridges first-principles defect theory with quantum device design, supported by international collaborations. Scientific awards include: Ruby-Payne Scott Award (2016) Geoff Opat Early Career Prize (2015) Dr Phillip Law AC Postdoctoral Award (2015) Chancellor's Prize for Excellence in PhD Thesis (2013) Nomination for Bragg Gold Medal (2012) Marcus has secured grants from the Australian Research Council (ARC), DAAD-Go8, ANU Major Equipment Committee, and other institutions. He collaborates with leading groups globally, including Harvard University, University of Stuttgart, and University of Ulm.