جست‌وجوی استاد و پژوهشگر

• Biostatistics
• Statistical Methodology
• Epidemiology
• +۶ مورد دیگر

Hegang Chen, PhD, serves as Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine. He is a lead statistician for the General Clinical Research Center (GCRC) and member of the Hormone Responsive Cancers Program within the Marlene and Stewart Greenebaum Cancer Center, with extensive collaborative experience in clinical trials and epidemiological research since joining in 2002. His academic credentials include: Ph.D. in Statistics from the University of Illinois M.S. in Mathematics from the University of Mississippi Dr. Chen's research centers on statistical methodology development—including optimal experimental design, generalized mixed linear models, and machine learning applications for molecular biology and real-time clinical decision support (e.g., predicting blood transfusion needs)—and biomedical collaborations spanning cancer, infectious diseases, trauma, public health, and pharmacogenomics. His work has been published in premier journals like Nature, JAMA, and Annals of Statistics. Analysis of his recent publications (2020-2025) reveals a dominant focus on predictive analytics for traumatic brain injury outcomes, blood transfusion prediction, and lung cancer diagnosis using real-time physiological monitoring and machine learning. This trend demonstrates a translational shift toward operationalizing statistical methods in critical care decision support systems. No scientific awards were mentioned in the provided text. While no specific advisees are listed, Dr. Chen's leadership in the GCRC and extensive collaborative network across trauma, oncology, and global health indicate active mentorship within multidisciplinary teams. His grant involvement is evidenced by NIH-funded GCRC work and high-impact publications in clinical domains. Dr. Chen maintains key affiliations with the General Clinical Research Center as lead statistician and the Hormone Responsive Cancers Program, where he integrates advanced statistical methodologies into translational cancer research and clinical trial design.

Ginés Carreto Picónمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Signal Processing
• Artificial Intelligence of Things
• +۳ مورد دیگر

Ginés Carreto Picón serves as a Research Fellow within the Department of Electrical and Computer Engineering at Aarhus University, Denmark, specializing in the Signal Processing and Machine Learning research group. His work focuses on developing computationally efficient AI solutions for resource-constrained environments. His research expertise spans machine learning, signal processing, and artificial intelligence of things (AIoT), with emphasis on creating high-performance sequence processing models through continual learning frameworks, dimensionality reduction, and low-rank approximation techniques. These approaches significantly reduce energy consumption while maintaining model accuracy for edge deployment. His publication on visual fingerprinting for sequential data demonstrates his focus on interpretable pattern recognition methods. Current work centers on the 2024-2027 PhD project developing lightweight AI architectures specifically optimized for IoT devices, aiming to expand feasible AI applications in constrained computational environments. He actively contributes to the Signal Processing and Machine Learning laboratory's research ecosystem, advancing methodologies for practical implementation of efficient AI systems in real-world edge computing scenarios.

• Sports Science
• Exercise Physiology
• Winter Sports Performance
• +۳ مورد دیگر

Oyvind Karlsson is a Researcher at Mid Sweden University, affiliated with the Department of Health Sciences in Östersund and the National Winter Sports Center (NVC). His work focuses on optimizing performance and health in elite winter sports athletes, particularly cross-country skiers and biathletes, through rigorous physiological monitoring and data-driven approaches. Dr. Karlsson holds a Doctor of Philosophy (PhD) from Mid Sweden University, culminating in his 2022 doctoral thesis "Monitoring Health Problems and Training to Support Performance in Competitive Cross-Country Ski Athletes," which established his expertise in longitudinal athlete tracking. His research centers on athlete health surveillance, metabolomics-based biomarker identification, and altitude training adaptation. He investigates critical intersections between training load, illness incidence, and performance outcomes, with emphasis on practical applications for national teams. Current projects analyze metabolic responses to exercise, sleep patterns at altitude, and individualized acclimatization strategies. Analysis of his 15 most recent publications reveals a dominant focus on cross-country skiing performance optimization through interdisciplinary methods. His work consistently combines exercise physiology with metabolomics and real-world monitoring, targeting illness prevention and performance enhancement in elite winter sports. Recent studies increasingly incorporate blood-based biomarkers and individual response variability. No scientific awards are documented in available sources. While no formal advising relationships or specific grant funding are mentioned, Dr. Karlsson collaborates extensively with national team staff through the NVC framework. His research directly informs coaching decisions and athlete management protocols for Swedish cross-country skiing and biathlon programs. As a core member of the National Winter Sports Center (NVC), Dr. Karlsson integrates with multidisciplinary teams including sports scientists, physiologists, and medical staff. His work leverages the NVC's specialized facilities for altitude simulation, metabolic testing, and field-based performance analysis during training camps.

Jan C. Fransooمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Management
• +۹ مورد دیگر

Jan C. Fransoo is Professor of Operations and Logistics Management at the Tilburg School of Economics and Management, Tilburg University. He maintains significant affiliations with MIT's Center for Transportation and Logistics as a Research Affiliate and with Technische Universiteit Eindhoven as a Visiting Professor. His research bridges academic rigor and practical application through extensive collaborations with multinational corporations, technology startups, and intergovernmental organizations including the World Bank and Interamerican Development Bank. His educational background includes: PhD in Production Control and Demand Management in Capacitated Flow Process Industries, Technische Universiteit Eindhoven (1989-1993) Master's Degree in Industrial Engineering and Management Science, Technische Universiteit Eindhoven (1984-1989) Professor Fransoo's research focuses on supply chain and operations management , with pioneering work on "nanostores" - his term for the 50 million mom-and-pop stores serving populations in developing regions. He also conducts significant research in urban logistics, omnichannel retail, and human-AI collaboration in supply chain decision-making. His methodology combines model-based and empirical quantitative approaches with practical field research, often developed in close partnership with industry stakeholders across multiple continents. His recent publications reveal a strong trend toward addressing real-world supply chain challenges in developing economies, particularly focusing on nanostore operations, financial constraints affecting small retailers, and the role of technology in enhancing supply chain resilience. His work consistently bridges theoretical innovation with practical applicability, as evidenced by his leadership in the Dutch national COVID-19 vaccination program deployment. Among his notable recognitions: M&SOM Journal Meritorious Service Award (2016) Salzberg Medallion (2022) University Medal from Eindhoven University of Technology (2017) Paper selected for virtual special issue in Transportation Science (2021) Professor Fransoo has supervised over 30 PhD students throughout his career, with current advisees researching nanostore logistics, human-AI decision making, and public health operations. His research is supported by collaborations with major organizations including ASML, ABInbev, Grupo Bimbo, and the World Bank. Notably, in 2021 he led a volunteer team that significantly accelerated the Dutch national vaccination campaign. He actively contributes to national logistics policy through Dinalog (the Dutch Institute for Advanced Logistics) and serves on the Independent Advisory Committee for the National Mobility Vision 2050. His current research continues to explore the complex dynamics of retail supply chains in developing economies and the transformative potential of digital technologies in global logistics operations.

Peter Biľakمشاهده پروفایل

مدرس پاره‌وقت

• Type Design
• Graphic Design
• CJK Typography
• +۶ مورد دیگر

Peter Biľak is a Slovakian graphic and typeface designer based in The Hague, currently serving as a Part-Time Lecturer at the Royal Academy of Art . He co-founded Typotheque in 1999 and Indian Type Foundry in 2009, focusing on multilingual typography, CJK systems, and accessibility (e.g., Zed Braille ). His work bridges type design with interdisciplinary collaborations, including modern dance with Make-Move-Think.org . Education : MFA in Graphic Design from the Jan van Eyck Academy (1999). Biľak’s research explores typographic principles across scripts (Latin, CJK, Indic), Braille spacing , and design ethics . His 15 most recent articles address vertical/horizontal writing systems , interdisciplinary design , and typeface functionality in urban contexts like the Paris Metro . He collaborates internationally, contributes to design theory, and advocates for reclusive creative practices as a response to digital visibility pressures. His typefaces (e.g., Greta , Fedra , Lava ) emphasize cultural inclusivity and technical precision.

Thijs van Keulenمشاهده پروفایل

استادیار

• Optimal Control Theory
• Control of Constrained Systems
• Extremum Seeking Control
• +۶ مورد دیگر

Thijs van Keulen is a Part-time Assistant Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with the Control Systems Technology Group under the supervision of Professor W.P.M.H. Heemels. He also holds an ancillary position as Mechatronics Engineer at ASML since 2018. MSc in Mechanical Engineering (Delft University of Technology, 2007) PhD in Mechanical Engineering (TU/e, 2011) Research Interests : Thijs specializes in optimal control theory , focusing on constrained systems and extremum seeking control . His work bridges theoretical development with industrial applications in hybrid vehicles , heavy-duty powertrains , and high-performance mechatronic systems . Key contributions include modeling solutions for emissions reduction, fuel efficiency improvements, and adaptive feedforward parameter learning frameworks for industrial machinery. Article Trends : His research spans control systems engineering with a focus on hybrid transportation technologies and industrial automation . Recent publications highlight applications of Pontryagin's Minimum Principle to eco-driving challenges, recursive learning in high-tech motion systems, and robust control frameworks for varying reference trajectories, demonstrating interdisciplinary impact across automotive, industrial, and applied mathematics domains. Grants & Collaborations : His work has been supported by the Dutch Research Council (NWO) and Project NEON (17628). Collaborations with DAF Trucks N.V. (2011-2018) and ASML emphasize industry-academia partnerships.

• Ordinary Differential Equations
• Dynamical Systems
• Mathematical Biology
• +۷ مورد دیگر

Eduardo Liz Marzan is a Professor in the Department of Applied Mathematics II at the School of Mining Engineering, University of Vigo. He holds a PhD from the University of Vigo (1995) with thesis titled 'Boundary problems for new types of differential equations,' supervised by Dr. Juan Jose Nieto Roig. His research focuses on differential equations and their applications in biological and ecological systems. His primary research interests include Ordinary Differential Equations, Dynamical Systems, Mathematical Biology, Difference Equations, Population Dynamics, Delay Differential Equations, Chaos Theory, and Control Theory. Liz Marzan has made significant contributions to understanding stability properties in discrete and continuous population models, harvesting effects, and bifurcation phenomena in ecological systems. His recent publications (2018-2023) demonstrate a continued focus on population dynamics, particularly exploring threshold harvesting, stability analysis of discrete models, and the interplay between harvesting strategies and population stability. His work spans from theoretical mathematical analysis to practical ecological applications, with a strong emphasis on global stability criteria for various population models. Liz Marzan has published extensively throughout his career, with 105 publications since 1991 and 4 edited contributions. He has collaborated with numerous researchers worldwide, particularly with Sergei Trofimchuk, Juan Jose Nieto Roig, and Alberto Cabada. He is a member of the MA1 Differential Equations and Numerical Simulation Research Group at the University of Vigo, where he contributes to advancing mathematical modeling techniques for complex dynamical systems.

• Early Childhood Education
• Learning Cultures in Kindergartens
• Materiality and Social Practices
• +۵ مورد دیگر

Anita Berge serves as Head of Department at the University of Stavanger's Department of Early Childhood Education within the Faculty of Arts and Education. Her academic leadership spans Norwegian early childhood research and policy implementation, with extensive contributions to international scholarly discourse through publications and conference presentations across Europe. Her research focuses on foundational aspects of early childhood education including learning cultures in kindergartens, materiality's impact on social practices, belonging and inclusion dynamics, and curriculum studies. Berge employs critical discourse analysis and ethnographic methods to examine how spatial arrangements, efficiency discourses, and policy frameworks shape pedagogical practices. Her work consistently addresses tensions between tradition and change in the "big kindergarten" context. Analysis of her recent publications reveals strong emphasis on belonging politics, material pedagogy, and epistemic reflexivity in teacher education. Her scholarship demonstrates methodological sophistication through combinations of critical discourse analysis with ethnographic fieldwork, particularly in examining cloakroom practices, furniture arrangements, and curriculum implementation across European contexts. Berge actively participates in research communities through seminar leadership at the "research kindergarten" and international collaborations like the Politics of Belonging project. Her work frequently addresses practical applications through workshops on supporting children's belonging in play, systematic interventions in kindergarten communities, and open kindergarten models as integration arenas.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +۶ مورد دیگر

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

Jerzy Myckaمشاهده پروفایل

دانشیار

• Theory of computability
• Mathematical logic
• Philosophy of mathematics
• +۶ مورد دیگر

Jerzy Mycka is an Associate Professor at the Faculty of Mathematics, Physics and Computer Science of Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He is affiliated with the Department of Teaching Mathematics and Computer Science and serves as the Faculty Coordinator for the Erasmus+ Programme . His research spans the theory of computability , mathematical logic , philosophy of mathematics , and the history of mathematics . He also explores the social and cultural role of mathematics , bridging technical rigor with philosophical inquiry. His publications reflect a deep engagement with foundational questions in computation, including Church's thesis , real recursive functions , and analog computation . His work often intersects with philosophical implications of computational limits and the nature of mathematical knowledge. He is actively involved in academic service, offering regular student consultations and coordinating international academic exchange through Erasmus+. His teaching and mentoring are integral to the university’s academic community.

Michael Williamsمشاهده پروفایل

پژوهشگر ارشد

• Gravitational Wave Physics
• Neutron Stars
• Black Holes
• +۳ مورد دیگر

Dr. Michael Williams is a Research Fellow at the Institute of Cosmology & Gravitation under the Faculty of Technology , University of Portsmouth. His work focuses on gravitational wave physics, neutron star dynamics, and black hole binaries through collaborations with LIGO, Virgo, and KAGRA detector networks. Active in gravitational wave detection and multi-messenger astronomy Developing AI algorithms for telescope targeting and signal processing Recipient of the IOP Trusted Reviewer status (2025) His recent research includes premerger characterization of black hole binaries , continuous wave searches from pulsars , and gravitational wave-FRB counterpart detection . He contributes to open-source tools like nessai and bayesbeat , with 25 datasets released. Williams participates in conferences like the European AI for Fundamental Physics Conference and workshops on milli-hertz gravitational wave astrophysics. Key collaborations: LIGO, Virgo, KAGRA, GEO600 Technical expertise: matched filtering , Bayesian inference , normalizing flows

Clotaire Michelمشاهده پروفایل

مدرس

• Risk Management
• Technology Assessment
• Seismic Risk
• +۲ مورد دیگر

Dr. Clotaire Michel serves as a Lecturer in Risk Assessment and Risk Management at ZHAW School of Engineering, where he also holds roles as Deputy Programme Director for MAS/DAS/CAS Integrated Risk Management (IRM), Module Manager for Risk Management (Bachelor), and Coordinator for the CAS Risk Assessment program. His academic work spans Technology Assessment in the Master Circular Economy Management program and MSE module coordination. His educational background includes a PhD in Earth Sciences from Université Grenoble Alpes (2004-2007), an Ingénieur Civil des Mines (Engineering Geology) from Ecole Nationale Supérieure des Mines de Nancy (2001-2004), and a Master in Earth Sciences from Université Grenoble Alpes (2003-2004). Continuing education includes CAS Earthquake Engineering (HSLU, 2023) and Habilitation à diriger les recherches (Université Grenoble Alpes, 2017). Michel's research focuses on interdisciplinary risk management, integrating seismic risk assessment, technology evaluation, and climate resilience. His work bridges engineering geology with practical safety applications, particularly in structural safety, fire protection systems, and earthquake engineering. Current projects address circular economy risk frameworks and regulatory compliance in European safety standards. His 15 most recent publications (2020-2025) reveal evolving expertise from traditional seismic site characterization toward broader risk domains including climate adaptation and fire safety. Key trends include methodological advances in ambient vibration analysis for structural monitoring and practical applications of risk assessment frameworks in European regulatory contexts. Professional networks include Verein Risiko und Sicherheit, Netzwerk Risikomanagement, Institut pour la maîtrise des risques (ImdR), Association Française du génie ParaSismique (AFPS), and Schweizer Gesellschaft für Erdbebeningenieurwesen und Baudynamik (SGEB). His industry role as Project Manager/Section Leader at Risk&Safety AG complements his academic work in hazard and risk analysis. As Deputy Programme Director for IRM, Michel oversees curriculum development and program coordination for professional risk management education. His research group within ZHAW's Technology Assessment focus conducts field studies on structural safety systems and develops risk assessment protocols adopted by Swiss safety agencies.

• Microwave Theory and Techniques
• Wireless Communications
• MIMO Systems
• +۱۲ مورد دیگر

Professor Dimitra Kaklamani is a distinguished faculty member at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), where she serves as a Professor in the Division of Information Transmission Systems and Material Technology. With over 300 publications to her name, she has established herself as a leading researcher in microwave engineering, wireless communications, and computational electromagnetics, having progressed through academic ranks from Lecturer (1995) to Professor (2009). Her research spans numerous critical areas in electrical engineering: Microwave Theory and Techniques Wireless Communications and MIMO Systems Computational Electromagnetics Object-Oriented and Distributed Computing Security & Privacy in Networked Systems Machine Learning Applications in Telecommunications Professor Kaklamani's research trajectory demonstrates a natural evolution from traditional microwave engineering toward cutting-edge areas like AI-enabled wireless communications and privacy-preserving network architectures. Her recent work (2023-2025) shows particular focus on intelligent metasurfaces for wireless communications, federated learning applications in next-generation networks, and security aspects of 5G/6G systems. This reflects both continuity with her foundational work in computational electromagnetics and adaptation to emerging technological frontiers. She serves as Editor of an international book by Springer-Verlag (2000) in applied Computational Electromagnetics and regularly reviews for IEEE journals, demonstrating her standing in the scholarly community. Her teaching portfolio is equally comprehensive, ranging from foundational courses like Linear Circuits Analysis to advanced topics such as Computational Electromagnetics and Machine Learning in Mobile Computing, reflecting her broad expertise across electrical engineering disciplines.

Angelo P Tannaمشاهده پروفایل

استاد

• Glaucoma
• Ophthalmology
• Medical Imaging
• +۷ مورد دیگر

Angelo P Tanna, MD is Vice Chairman and Professor of Ophthalmology and Director of the Glaucoma Service at the Northwestern University Feinberg School of Medicine in Chicago, Illinois. He has served on the faculty since 1999, establishing himself as a leading expert in glaucoma diagnosis and treatment. Dr. Tanna holds multiple leadership positions including Chair of the American Academy of Ophthalmology's Basic and Clinical Science Course Glaucoma Committee. Dr. Tanna's research interests span several critical areas in ophthalmology, with a primary focus on glaucoma. His work encompasses the efficacy and safety of glaucoma medications, detection of glaucoma progression, and assessment of visual function in glaucoma patients. He has made significant contributions to understanding the impact of cataract on visual field testing in glaucoma and has developed new methods to detect visual field deterioration. His research also includes improving outcomes of incisional glaucoma surgery and innovative approaches using hydrogel polymers to prevent fibrosis after trabeculectomy. Analysis of Dr. Tanna's recent publications reveals a strong emphasis on applying advanced technologies to glaucoma management, including deep learning algorithms for visual field progression detection using OCT imaging. His work increasingly explores social determinants of health in glaucoma care, healthcare access disparities, and the relationship between systemic conditions and ocular health. The COAST clinical trial he leads represents a significant contribution to optimizing laser trabeculoplasty protocols for glaucoma treatment. Secretariat Award, American Academy of Ophthalmology (2019) Senior Achievement Award, American Academy of Ophthalmology (2017) Continuously listed in Best Doctors in America since 2005 Outstanding Teacher Award, Northwestern University Feinberg School of Medicine (2020) Multiple visiting professorships at leading institutions including Columbia University (2023) Dr. Tanna has served in various leadership roles in the American Glaucoma Society, including twice as a board member and as Chair (2010-2011). He currently chairs the American Academy of Ophthalmology's Basic and Clinical Science Course Glaucoma Committee and serves on editorial boards of prestigious journals including Ophthalmology and Survey of Ophthalmology. His COAST clinical trial investigates optimal selective laser trabeculoplasty protocols for treating glaucoma, potentially reshaping treatment guidelines. Dr. Tanna also leads research collaborations with biomedical engineers and geneticists, resulting in discoveries such as the association of ANGPT1 region SNPs with primary open-angle glaucoma.

• Quantum Information Science
• Quantum Computing
• Quantum Error Correction
• +۶ مورد دیگر

Dr. Thinh Le is a Postdoctoral Research Fellow at the School of Computer Science , University of Technology Sydney , where he works at the Centre for Quantum Software and Information (since 2023). His academic journey includes research fellowships at the Institute for Quantum Optics and Quantum Information Vienna (2020-2023) and Leibniz University Hannover (2019-2020). He earned his PhD in Physics (2015) and BSc in Physics (2011) from the National University of Singapore . Thinh's research focuses on quantum information science , bridging theoretical foundations and experimental implementations. His work addresses critical challenges in quantum computing (error correction, fault tolerance), quantum tomography (device-independent characterization), and quantum software stack development. He investigates quantum randomness generation, Bell nonlocality, and entanglement distillation for quantum networks, with applications in quantum cryptography and secure communication. His recent publications examine advanced topics like trapped-ion lattice surgery (2025), quantum correlation boundaries (2025), and quantum backflow phenomena (2023). Earlier work established foundational limits for real quantum theory (2021) and developed practical entanglement distillation protocols (2018). Scientific awards include the Lise Meitner Postdoctoral Fellowship (2020-2023) and Humboldt Postdoctoral Fellowship (2019-2020). His funded research projects focus on quantum computing error correction and device-independent quantum tomography , aligning with his theoretical expertise guided by experimental applications.