جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Materials Science
• Civil Engineering
• +۷ مورد دیگر

Mette Rica Geiker is a Visiting Professor in Structural Engineering at Chalmers University of Technology, Sweden. Her research focuses on the interplay between cracks and reinforcement corrosion in concrete structures, particularly in chloride-containing environments. She collaborates with the Norwegian University of Science and Technology and the Swedish Transport Administration on long-term experiments to analyze crack formation and corrosion patterns, aiming to improve construction standards and maintenance strategies for durable infrastructure. Role: Visiting Professor Institution: Chalmers University of Technology Department: Structural Engineering Key Research: Crack-reinforcement corrosion interactions, concrete durability, chloride exposure effects Her work investigates how transverse cracks influence corrosion initiation and progression in reinforced concrete, with implications for structural safety and lifecycle cost reduction.

• Fluid Engineering
• Thermal Engineering
• Aerospace Engineering
• +۳ مورد دیگر

Professor Matsuda Yu at Waseda University 's Faculty of Science and Engineering (School of Creative Science and Engineering) is a leading researcher in fluid engineering and aerospace systems. With a Doctor of Engineering from Nagoya University, he has developed innovative measurement techniques for micro/nano-scale phenomena. Current position: Professor, Waseda University (2022-present) Previous roles: Japan Science and Technology Agency (2018-2022), Nagoya University (2008-2018) Research Focus spans thermal engineering , microfluidics , and quantum-inspired data analysis . His recent work involves pressure-sensitive paint optimization, single-particle tracking , and quantum annealing applications for fluid dynamics. Scientific Recognition includes multiple JSME awards, MEXT Commendation for Young Scientists, and the 2025 Ichiro Tanaka Award . His 45+ scientific awards highlight contributions to measurement science and fluid dynamics. Technical Innovations include ambient-light-resistant PSP methods, quantum-optimized sensor placement, and bioluminescent temperature-pressure sensors. His 95+ publications with 1497 Google Scholar citations demonstrate significant impact in microscale flow analysis and nanoparticle dynamics .

Daniel Ershovمشاهده پروفایل

استادیار

• Quantitative Marketing
• Empirical Industrial Organization
• Digital Technology and Markets
• +۴ مورد دیگر

Daniel Ershov is an Assistant Professor of Marketing at the UCL School of Management, specializing in Quantitative Marketing and Empirical Industrial Organization. His research focuses on digital technology's impact on markets, consumer behavior, and firm strategies, particularly in online environments. He holds a PhD in Economics from the University of Toronto and has prior affiliations with the Toulouse School of Economics and the Canadian government. Ershov is also a Research Affiliate with CESifo and CEPR networks. His research interests include influencer marketing, market regulation, algorithmic pricing, and competition in digital ecosystems. Notable studies address undisclosed influencer marketing on social platforms, regulatory effects on advertising disclosures, and algorithmic collusion in markets. His work bridges economic theory with real-world applications, often leveraging large datasets to analyze modern market dynamics. Erschov's articles span prestigious journals like the Journal of Political Economy and Marketing Science. His research highlights trends in digital markets, regulatory challenges, and the evolving role of algorithms in pricing and competition. While no scientific awards are explicitly listed, his affiliations with leading research networks signal recognition in his field. His advising and grant activities are not detailed in the provided texts, though his CV may contain additional information. He collaborates with institutions like the Toulouse School of Economics and engages in policy analysis, as seen in his submission to the UK Parliament's inquiry on influencer culture. His office is located at Level 38, 1 Canada Square, Room S4.

Ilya Mikhelsonمشاهده پروفایل

دانشیار

• Teaching Methodologies
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Ilya Mikhelson is the Charles Deering McCormick Distinguished Associate Professor of Instruction in the Department of Electrical and Computer Engineering at the McCormick School of Engineering, Northwestern University. His primary focus is on innovative teaching methodologies and the development of medical technologies aimed at enhancing patient care, particularly in non-invasive monitoring systems. Research interests span pedagogical advancements in electrical engineering education alongside biomedical engineering innovations. Key areas include non-contact vital sign monitoring (e.g., blood pressure), signal/image processing, machine learning applications, and circuit/system design for healthcare solutions. Recent publications highlight dual expertise: laboratory-focused teaching strategies (2024), tonometry-based blood pressure monitoring (2021–2023), and interdisciplinary work on cryptocurrency markets (2023). Early works emphasize millimeter-wave interferometry for remote vital signs sensing (2011–2013), showcasing non-invasive health monitoring technologies. No scientific awards were listed in the provided information. No advising or grant details are available. No specific laboratory or team affiliations are noted.

• Computer vision
• Machine learning

Dr. Zhongyan Zhang serves as an Associate Research Fellow at the School of Computing and Information Technology within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia, a position held since 2022. His academic foundation includes: PhD from University of Wollongong Master's degree from Beihang University, Beijing Bachelor's degree from Beihang University, Beijing Specializing in Computer Vision and Machine Learning , Dr. Zhang pioneers annotation-free methodologies for instance image retrieval. His research eliminates dependency on manual labels by exploiting dataset-internal supervisory signals, with innovations in unsupervised object discovery and spatial-context-aware feature representation that significantly enhance retrieval accuracy and user experience through region-based matching. Publication analysis (2015-2023) reveals an evolutionary trajectory from cascade classifiers for pedestrian detection to self-boosting unsupervised frameworks. His recent work demonstrates consistent focus on efficient, dataset-driven solutions that improve retrieval performance while maintaining algorithmic simplicity and low memory costs. No scientific awards are documented in source materials. The provided information contains no details regarding student advising, research grants, or laboratory affiliations.

Chao Yu Chenمشاهده پروفایل

دانشیار

• Microsystems engineering
• Robotics
• Mechanical manipulation
• +۳ مورد دیگر

Chao Yu Chen is an Associate Professor in the Department of Mechanical Engineering at the National University of Singapore's College of Engineering. His professional email is mpechenp@nus.edu.sg and his office is located at E1A-07-09. With a Ph.D. from the University of Toronto (1995), he has extensive industry experience including work with China International Marine Containers Ltd., General Dynamics Corp., Philips, and the Canadian Space Agency before joining NUS in April 2000 after a Research Fellowship at Singapore Institute of Manufacturing Technology. Dr. Chen's research spans microsystems engineering and robotics with particular focus on mechanical manipulation of physical and biological systems across micro to macro scales. His work includes developing engineering solutions for biological applications such as active manipulation of extracellular matrix stiffness, microinjection of silkworm eggs, and creating systems for high throughput transgenic silkworm creation. His laboratory also works on practical engineering applications including the ARMCON system for traffic management, polymer-based heat exchangers, and automated eyelet welding systems using mobile manipulators. His recent publications demonstrate expertise in biomedical microsystems, with research bridging mechanical engineering principles with biological applications. The publications show a consistent focus on developing novel micro-engineering techniques for biological manipulation and measurement, particularly in the areas of cell-matrix interactions and microfluidic particle separation systems. Dr. Chen actively supervises graduate students, with recent success noted for PhD candidate Yazhini who passed her oral examination. His research group maintains active collaborations and seeks opportunities for industry partnerships to develop practical engineering solutions based on their microsystem and robotics research.

Ken Coleyمشاهده پروفایل

استاد

• Metallurgy
• Materials Science and Engineering
• Steel Processing
• +۵ مورد دیگر

Ken Coley is the Dean of the Faculty of Engineering at Western University since July 2019. Previously, he served as a Materials Science and Engineering professor at McMaster University, holding the ArcelorMittal Dofasco Chair in Ferrous Metallurgy and directing the Steel Research Centre. He holds a PhD from Imperial College London and a BSc (Hons) in Metallurgy. His research focuses on metallurgical processes, particularly steel production, slag reactions, and inclusion dynamics. Coley has led transformative educational initiatives such as The Pivot at McMaster, reducing student attrition rates significantly. He is a recipient of the John F. Elliott Lectureship Award and has contributed to advancing metallurgical education and industry practices globally. Education: PhD, Imperial College of Science and Technology, London, UK BSc (Hons), Metallurgy Research interests span steel processing, reaction kinetics, and metallurgical engineering. His work addresses challenges in ferrous metallurgy, including slag dynamics, decarburization, and inclusion formation. He has pioneered models for refining processes and contributed to understanding environmental impacts of metallurgical practices. Awards and recognitions include the prestigious John F. Elliott Lectureship Award from the Association of Iron & Steel Technology, highlighting his impact on the field. Leadership in education includes reducing undergraduate attrition rates at McMaster and designing interdisciplinary programs like the Integrated Biomedical Engineering and Health Sciences Program. He continues to drive innovation in engineering education through initiatives like The Pivot. Labs and teams include former leadership at the Steel Research Centre, focusing on applied metallurgical research and industrial collaboration.

Leonard Heiligمشاهده پروفایل

پژوهشگر

• Digital Twin Technology
• Maritime Logistics
• Blockchain Applications
• +۵ مورد دیگر

Dr. Leonard Heilig is a Researcher at the Institute of Information Systems within the University of Hamburg Business School at the University of Hamburg. His work focuses on integrating advanced technologies such as digital twins, blockchain, and cloud computing into maritime logistics and port operations. He is affiliated with the Von-Melle-Park 5 office in Hamburg and can be reached at leonard.heilig@uni-hamburg.de . He holds a Ph.D., though specific educational details are not provided in the text. His research interests include optimizing automated container terminals, reducing environmental emissions in ports, and enhancing enterprise architecture management through agile methodologies. He has contributed to frameworks for port-centric information management and inter-terminal truck routing, emphasizing real-time data utilization and sustainability. His recent publications highlight trends in digital twin applications for port operations, blockchain integration in maritime logistics, and cloud-based optimization solutions. While no scientific awards are explicitly listed, his work demonstrates significant contributions to smart port systems and digital transformation in logistics. He collaborates within the Institute of Information Systems team and has been involved in projects like port-IO , a mobile cloud platform for truck routing optimization. Grants and advising roles are not detailed in the provided texts.

Luqi Keمشاهده پروفایل

پژوهشگر

• Maritime Economics
• Logistics Management
• International Shipping Management
• +۳ مورد دیگر

Luqi Ke is a Researcher and PhD student at the Department of Maritime Economics, University of Hamburg Business School since March 2018. She holds a Bachelor's degree in Logistics Management from Ningbo University (2015) and a Master of Science in Logistics, Infrastructure and Mobility from Hamburg University of Technology (2017). Her research focuses on container freight rate analysis using system dynamics models, with professional experience in global freight forwarding. Education: Bachelor: Logistics Management (International Shipping Management), Ningbo University, China (2015) Master: Logistics, Infrastructure and Mobility, Hamburg University of Technology (2017) Research Interests: Combines quantitative modeling with maritime logistics challenges, specializing in freight rate dynamics, supply chain simulation, and maritime transport economics. Current work emphasizes system dynamics approaches to analyze container shipping market behavior. Professional Experience: Worked in a global freight forwarding company for 2 years during and after her studies, providing industry context to her academic research.

• Maritime Economics
• Logistics Engineering
• Sustainability
• +۳ مورد دیگر

Yang Yang is a Researcher and PhD student at the University of Hamburg Business School's Maritime Economics Research Center since 2019. She holds a B.Sc. in Logistics Engineering from Changsha University of Science & Technology (2015) and an M.Eng in Logistics (focusing on port operations) from Shanghai Maritime University (2017). Her work includes roles as a logistics planning engineer in an automotive company (2015–2017). Her research focuses on maritime logistics optimization, carbon emissions reduction in transportation and port operations, and environmental science dynamics in river systems. Key areas include port connectivity, shipping networks, and sustainable infrastructure strategies. Recent studies analyze carbon emissions in river basins (e.g., Pearl River, Elbe River), the impact of land use on CO₂ outgassing, and optimization of container terminal operations. Her work bridges environmental sustainability with industrial logistics, addressing both natural and anthropogenic factors in global supply chains. Yang has no listed awards but contributes actively to interdisciplinary research at the intersection of maritime economics and environmental science. She collaborates with the Maritime Economics Research Center and engages in doctoral studies exploring sustainable port logistics.

Brygg Ullmerمشاهده پروفایل

استاد

• Tangible User Interfaces
• Human-Computer Interaction
• Computational Genomics
• +۷ مورد دیگر

Brygg Ullmer is a Professor at Clemson University's School of Computing and Chair of the Human-Centered Computing Division. He leads the Tangible Visualization group, focusing on Tangible User Interfaces (TUIs) Computational Genomics Interactive Computational STEAM Rapid Physical/Electronic Prototyping Computationally-Mediated Art and Design His work bridges physical and digital domains, with applications in K-12 education, high-performance computing, and culturally-rooted design. Research trends from his 15 most recent articles show a focus on Generative AI for cyberphysical systems Shape-changing interfaces Token+Constraint interaction models Genomics data visualization Hybrid tangible-gestural interfaces Multi-display collaboration These span both theoretical and applied work in computer science, biology, and design. Ullmer has held significant roles including Postdoctoral work at Zuse Institute Berlin Associate Professor at Louisiana State University (CCT & Computer Science) Visiting Lecturer at Hong Kong Polytechnic University Contributions to IBM Systems Journal and special editions of Springer's Personal and Ubiquitous Computing He has also co-edited journal special issues and served on conference committees. His scientific contributions include co-invented U.S. patents (6164541, 6263507, 6259441) related to Invisible hyperlinking Audiovisual data browsing Digital video time-shifting These patents reflect early innovations in tangible interface technology that have influenced modern interactive systems.

Richard Changمشاهده پروفایل

دانشیار

• Computational Complexity Theory
• NP-optimization Problems
• Approximation Algorithms
• +۷ مورد دیگر

Richard Chang is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a Ph.D. from Cornell University (1991) and has been affiliated with UMBC since 1991, serving in various roles including tenure-track positions and joint appointments at the University of Maryland Institute for Advanced Computer Studies (1994–2004). His research focuses on computational complexity theory, particularly bounded query classes, NP-optimization problems, approximation algorithms, and relativized complexity. He has authored numerous papers on topics such as query complexity, Boolean hierarchies, and space-bounded computations. Chang's academic contributions include significant work on the theoretical foundations of computational complexity, including studies on the Boolean hierarchy, randomized reductions, and the structure of NP computations. He has secured multiple research grants, including from the National Science Foundation and the National Security Agency. His teaching spans a wide range of computer science courses, from introductory programming to advanced topics like compiler design and automata theory. He actively participates in academic service, serving on departmental, college, and university committees, as well as organizing conferences and reviewing for top journals. His work emphasizes bridging theoretical computer science with practical algorithmic challenges, contributing to both academic discourse and educational excellence.

Crystal Botkinمشاهده پروفایل

استاد

• PET/CT Student Directed Research
• Disabilities and Reasonable Accommodations
• Nuclear Medicine Technologists with Disabilities
• +۳ مورد دیگر

Crystal Botkin is a Professor in the Department of Clinical Health Sciences at Saint Louis University's Doisy College of Health Sciences. She holds a Ph.D. in Higher Education Administration, an MPH, and a BS in Nuclear Medicine Technology, all from Saint Louis University. Her academic roles include serving as Interim Academic Chair of the Department of Clinical Health Sciences and Program Director of the Nuclear Medicine Technology Program. She has extensive experience in clinical nuclear medicine, education, and professional leadership. Education: Ph.D., Higher Education Administration, Saint Louis University (2018) MPH, Saint Louis University (2010) B.S., Nuclear Medicine Technology, Saint Louis University (2000) Research Interests: PET/CT Student Directed Research Disabilities and Reasonable Accommodations in Healthcare Nuclear Medicine Technologists with Disabilities Professional Leadership: Former President of the Missouri Valley Chapter Society of Nuclear Medicine and Molecular Imaging (SNMMI) Active member of SNMMI-TS, serving on multiple committees Her research spans PET/CT imaging techniques, radiation safety, and healthcare accessibility. Notable contributions include studies on reducing radiation exposure, optimizing imaging protocols, and advocating for nuclear medicine technologists with disabilities. Botkin has received numerous awards, including the SNMMI-TS Outstanding Educator Award and the Presidential Distinguished Service Award. Her articles highlight advancements in PET/CT technology, theranostics, and patient care innovations. She mentors students in research projects, emphasizing clinical and technical excellence.

• Reactor Thermal Hydraulics
• Nuclear Safety Analysis
• Computational Fluid Dynamics
• +۱ مورد دیگر

David Arcilesi is an Assistant Professor of Nuclear Engineering at the University of Idaho's College of Engineering, specializing in reactor thermal hydraulics and advanced reactor safety. He holds a Ph.D. and M.S. in Nuclear Engineering from Ohio State University and B.S. degrees in Mathematics and Physics from the University of Utah. His research program focuses on thermal-hydraulic phenomena in advanced reactor systems including HTGRs and MSRs, employing experimental validation and computational methods. Recent publications analyze passive safety systems, accident progression scenarios, and thermal energy storage integration for next-generation nuclear technologies. Current investigations include experimental facility design for helium component testing and autonomous safety algorithms for reactor operations.

Sebastian Souyrisمشاهده پروفایل

استادیار

• Sustainability Analytics
• Healthcare Operations
• Logistics Optimization
• +۱ مورد دیگر

Dr. Sebastian Souyris is Assistant Professor of Supply Chain and Analytics at Rensselaer Polytechnic Institute's Lally School of Management. He earned his Ph.D. in information, risk, and operations management from The University of Texas at Austin (2019), M.Phil. in operations management from New York University, and bachelor's (industrial engineering) and master's (operations management) degrees from the University of Chile. His research addresses environmental and human sustainability challenges through data-driven optimization, machine learning, and econometrics. He has developed analytic solutions for sustainability, healthcare, logistics, media, and sports domains. Current projects examine game development representation and historical simulation design. Key research areas include: Environmental and human sustainability analytics Healthcare operations optimization Logistics and supply chain management Behavioral influence modeling Dr. Souyris' publications demonstrate consistent application of operations research methodologies to public health crises, energy transitions, and media planning. His COVID-19 research examines testing strategies, reopening protocols, and communication effectiveness. He has received significant recognition including INFORMS Franz Edelman Laureate, finalist for EURO Excellence in Practice Award and INFORMS Innovative Applications in Analytics Award, and prizewinner of INFORMS Revenue Management and Pricing Practice Award. Dr. Souyris contributes to the Center for Engineering and Precision Medicine (CEPM) and Healthcare Analytics Group. His technical work is available through his GitHub repository.