جست‌وجوی استاد و پژوهشگر

Wei Liمشاهده پروفایل

استادیار

• Real Estate Finance
• Mortgage-backed Securities
• Market Microstructure
• +۱ مورد دیگر

Wei Li is an Assistant Professor at the Zicklin School of Business , Baruch College, CUNY , specializing in the W. Newman Department of Real Estate . He holds dual PhDs in Finance from the University of Maryland, College Park, and in Civil Engineering from Purdue University, West Lafayette. PhD, Finance (University of Maryland, College Park, 2008-2014) PhD, Civil Engineering (Purdue University, West Lafayette, 2004-2008) MS, Statistics (Math Finance track) (Purdue University, 2007-2008) MS, Civil Engineering (Tsinghua University, 2001-2004) BS, Electronics Engineering (Zhejiang University, 1997-2001) His research focuses on Real Estate Finance , Mortgage-backed Securities , Market Microstructure , and High Frequency Trading . Recent publications address topics like TBA trading mechanisms, cohort-based trading dynamics in MBS markets, and probabilistic modeling in transportation safety. His scientific awards include: Cubist Systematic Strategies PhD Candidate Award for Outstanding Research (2014) NASDAQ OMX Group Educational Foundation Dissertation Grant (2013) Wei Li currently serves on the Real Estate Tenure-track Faculty Recruiting Committee and Undergraduate Committee on Academic Standing .

AG Binderمشاهده پروفایل

استاد

• Stochastic Thinking
• Statistical Skills Development
• Mathematics Education
• +۲ مورد دیگر

AG Binder is a research group at the Department of Mathematics Didactics, Faculty of Computer Science, Electrical Engineering and Mathematics, Paderborn University. The group, led by Prof. Dr. Karin Binder, focuses on promoting stochastic thinking in students, developing statistical skills among professionals (e.g., physicians, lawyers), enhancing mathematics education via digital tools, and investigating the impact of teachers' pedagogical content knowledge on instructional quality and student achievement. University affiliation: Paderborn University School: Faculty of Computer Science, Electrical Engineering and Mathematics Department: Department of Mathematics Didactics Academic rank: Professor Key research areas include stochastic reasoning, statistical literacy, educational technology, and pedagogical content knowledge. The group actively participates in international conferences (e.g., IASE Satellite Conference, ABC Retreat) and contributes to projects like DFG-funded FehlBa and BMBF-supported siMINT. Recent publications emphasize probabilistic reasoning, risk communication, and simulation-based learning in diverse contexts. The group engages in teaching initiatives, such as mathematics bridge courses for first-year students and teacher training programs in Bavaria. They also organize workshops on significance tests and Bayesian reasoning, targeting socially relevant questions and practical applications.

• Marine Ecology
• Environmental Modeling
• Stochastic Processes
• +۳ مورد دیگر

Giovanni Denaro is a Researcher at the University of Palermo, affiliated with the School of Basic and Applied Sciences. His work integrates mathematical modeling with environmental and marine research, focusing on mercury bioaccumulation, phytoplankton dynamics, and climate change impacts on Mediterranean ecosystems. He teaches Mathematics for Experimental Research with Statistics in the Biodiversity and Technological Innovation program. University: University of Palermo School: School of Basic and Applied Sciences Role: Researcher (MATH-04/A) His research spans stochastic ecological modeling, deep chlorophyll maximum analysis, and marine pollution tracking. Recent publications highlight applications of computational methods to understand species interactions, contaminant transport, and ecosystem responses to environmental variability. Office hours are held in Trapani, Palermo, and via Microsoft Teams.

Panos Louvierisمشاهده پروفایل

استاد

• Cybersecurity
• Data and Information Fusion
• Defence Analytics
• +۷ مورد دیگر

Panos Louvieris serves as Professor of Information Systems at Brunel University London within the Department of Computer Science, College of Engineering, Design and Physical Sciences. He leads the Defence & Cyber Security (DCS) research group and holds co-directorship roles at the Brunel Intelligent Digital Economy and Society (IDEAS) Research Centre and the Trusted Open Models Institute (TOMI) at the Hartree Centre. His academic profile includes committee membership in the EPSRC Digital Personhood Network, EPSRC ITaaU+ Network, and NEMODE+ Network, reflecting his influence in UK research infrastructure. His research spans cybersecurity, data fusion, and computational finance with emphasis on cyber situational awareness, explainable AI, and distributed ledger technologies. Recent work integrates agent-based simulation for pandemic modeling, Markov models for threat prediction, and social media analysis for security awareness. This interdisciplinary approach bridges computer science, operations research, and social sciences to address defense, finance, and public health challenges through advanced computational models. Analysis of his publication trajectory reveals evolving focus from foundational information fusion (2005-2010) to cyber-physical systems (2010-2015), with current emphasis on digital personhood markets (2020-present). His most recent publications demonstrate methodological innovation in blockchain applications for tax compliance and geospatial pandemic modeling, while maintaining core expertise in cyber defense analytics. Louvieris actively supervises research and collaborates with institutions including the Hartree Centre and EPSRC networks. His grant portfolio features the EPSRC-funded Digital Personhood project (2013-2016), Innovate UK's Contact Tracing project (2020-2021), and current leadership of the EPSRC Making Tax Smart initiative (2022-2023) exploring distributed ledger technology for central bank digital currency compliance. He directs the Defence & Cyber Security research group and co-leads the IDEAS Research Centre, fostering cross-disciplinary work on digital economy challenges. Current projects involve HSBC sandbox testing of Open Banking prototypes and development of futures markets for digital personhood data, positioning his team at the intersection of cybersecurity, FinTech, and societal digital transformation.

Luca Spalazziمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Luca Spalazzi is an Associate Professor at the Department of Information Engineering , Università Politecnica delle Marche , Italy. His research spans multiple domains including cybersecurity , blockchain technology , machine learning , and telerehabilitation systems for Parkinson's disease. He applies formal methods to software verification and security analysis, with a focus on real-time systems and distributed architectures . Key research areas: Cybersecurity, Blockchain, Machine Learning, IoT, Formal Verification Recent work: Blockchain-based sustainable supply chains, Zero-Knowledge Proofs, Smartphone health monitoring His publications (2013-2025) demonstrate expertise in malware detection , smart contract verification , and AI-driven health solutions . Articles include BRAIN 2024 workshop organization and RAPIDO system for Parkinson's telerehabilitation.

• Environmental Engineering
• Hydraulic Modeling
• Water Distribution Systems
• +۲ مورد دیگر

Dr. FÜLÖP Roland is an Associate Professor at the Department of Sanitary and Environmental Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics. His professional activities focus on urban water infrastructure management, with extensive experience in hydraulic modeling, pipeline failure analysis, and water distribution systems optimization. Current Courses: Dewatering (BMEEOVKMI53) Public water utility systems modelling (BMEEOVKMV63) Public Works I. (BMEEOVKAT42) Research Interests: His work addresses critical challenges in water infrastructure sustainability through advanced modeling techniques and data-driven decision-making. Key research areas include: Hydraulic model calibration for complex networks Probabilistic failure prediction in pipeline systems Optimization of water balance calculations Pressure management in distribution zones Long-term infrastructure rehabilitation planning Integration of mobile technologies for utility management

• Machine Learning
• Electronic Health Records (EHR)
• Precision Medicine
• +۲ مورد دیگر

Emmanuella Ama Wieba is a doctoral student at the Center for Applied Intelligent Systems Research (CAISR) within Halmstad University's School of Information Technology. She holds a Bachelor's and Master's degree in Computer Science from the University of Botswana. PhD in Intelligent Systems (ongoing) Computer Science (BSc/MSc) Research Focus: Specializes in synthetic Electronic Health Records (EHRs) and machine learning applications in healthcare. Key areas include: Precision medicine through AI-enhanced EHR analysis Temporal fidelity evaluation in synthetic time-series medical data Cervical cancer risk prediction algorithms Bantu language identification using probabilistic models Development of EHR evaluation frameworks Publication Trends: Her work demonstrates expertise at the intersection of healthcare data science and machine learning, with recent publications focusing on synthetic data validation, medical risk modeling, and NLP applications for African languages. Key themes include temporal pattern analysis in EHRs, cervical cancer prediction methods, and data imputation techniques.

Mihoc T. D.مشاهده پروفایل

مدرس

• Optimization
• Game Theory
• Quantum Computing
• +۵ مورد دیگر

Mihoc T. D. serves as a Lecturer at Babeș-Bolyai University in Cluj Napoca, Romania, teaching Artificial Intelligence, Computer Graphics, and Quantum Computing. He earned his Ph.D. in Computer Science from the same institution in 2011 with a dissertation on evolutionary approaches to game-theoretic equilibria under Prof. D. Dumitrescu. His academic career includes prior service as an Assistant Professor (2012-2017) and foundational experience as a Mathematics and Computer Science Teacher (2000-2008). His educational background features: Ph.D. in Computer Science, Babeș-Bolyai University (2011) Research centers on optimization and game theory, with evolutionary algorithms for Nash equilibrium detection in large-scale games. His work extends to quantum computing implementations, computer graphics applications, and human-computer interaction systems for education and healthcare. Recent publications demonstrate a strategic pivot toward educational technology, examining student perceptions of AI ethics and learning behavior analytics in computer science education. Publication trends reveal a clear evolution: 2010-2017 focused on computational game theory foundations (Cournot oligopolies, equilibrium refinements), while 2023-2025 articles emphasize AI education (ethics perception, assessment techniques, entrepreneurship training). This trajectory shows deliberate expansion from theoretical game theory to applied educational technology solutions. No scientific awards were documented in available sources. Information regarding student advising, research grants, and laboratory affiliations was not provided in the source material. His current teaching responsibilities include course delivery, seminars, and laboratory sessions across three advanced computing domains.

Amedeo R. Odoniمشاهده پروفایل

استاد

• Operations Research
• Applied Probability Theory
• Stochastic Processes
• +۱۰ مورد دیگر

Amedeo R. Odoni is a Professor of Aeronautics and Astronautics and Professor of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT) within the School of Engineering. He has been a faculty member since 1969, holding leadership roles including Head of the Systems Division (1991-1996) and Co-Director of the Operations Research Center (1985-1991). Currently, he serves as Lead Principal Investigator of the Future Urban Mobility research project at the Singapore-MIT Alliance for Research and Technology (SMART). His educational background includes: S.B. in Electrical Engineering and Computer Science from MIT (1965) S.M. in Electrical Engineering and Computer Science from MIT (1967) Ph.D. in Operations Research from MIT (1969) Professor Odoni's research focuses on applied probability theory, stochastic processes, and decision-making under uncertainty, with applications in airport planning, air traffic management, and urban service systems. His work bridges operations research and transportation engineering, emphasizing practical solutions for air transportation challenges including queuing theory, location theory, and probabilistic combinatorial optimization. Recent publications demonstrate a progression from foundational models to sophisticated network analyses addressing delay propagation, runway configuration optimization, and policy-oriented studies of aviation infrastructure. His distinguished honors include: Election to the National Academy of Engineering INFORMS Fellowship and Robert F. Herman Lifetime Achievement Award U.S. FAA National Award for Excellence in Aviation Education Multiple MIT teaching awards including the Capers and Marion McDonald Award Honorary Ph.D. from Athens University of Economics and Business As an advisor, Professor Odoni has supervised 41 Ph.D. students (several winning major dissertation awards) and served on over 100 thesis committees. His research has been supported by significant grants including leadership of the Future Urban Mobility project (Singapore National Research Foundation), the Global Airline Industry Center (Alfred P. Sloan Foundation), and the FAA's National Center of Excellence in Aviation Operations Research (NEXTOR). He maintains active collaborations with major international airports and civil aviation authorities through consulting assignments worldwide. He leads the Future Urban Mobility research group at SMART and has established influential research centers including NEXTOR and the Global Airline Industry Center, fostering global partnerships between academia, government, and industry to address critical challenges in air transportation systems.

Juan Antonio Fernández del Pozoمشاهده پروفایل

دانشیار

• Decision Analysis
• Intelligent Decision Support Systems
• Probabilistic Graphical Models
• +۱۰ مورد دیگر

Juan Antonio Fernández del Pozo is an Associate Professor of Statistics and Operations Research at the School of Computer Science, Technical University of Madrid (UPM), and a member of the Computational Intelligence Group. With over 60 publications and participation in more than 30 national and international research projects, he is a leading researcher in decision analysis and intelligent systems. His educational background includes: Doctorate in Computer Science from the School of Computer Science, UPM (Thesis: "Listas KBM2L para la síntesis de conocimiento en sistemas de ayuda a la decisión") His research focuses on probabilistic graphical models (Bayesian networks/influence diagrams) for decision support, evolutionary algorithm optimization, and machine learning for data streams with concept drift. Key application domains span Social Network Analysis, Air Traffic Management, structural health monitoring, Industry 4.0, and social service quality modeling in collaboration with Spanish Foundations. His work emphasizes knowledge acquisition in large decision tables, explanation synthesis, and sensitivity analysis. Publication trends reveal two phases: foundational work (2000-2013) on Bayesian networks and medical decision systems (e.g., neonatal jaundice modeling), and recent applied research (2016-2018) addressing environmental restoration, transportation scheduling, and social innovation networks. Scientific awards: No scientific awards were mentioned in the provided text. Advising and grants: Supervised 12+ Master's Degree projects Supervised 50+ final degree projects Participated in 30+ research projects Served on 18+ doctoral thesis evaluation panels Labs and teams: Active member of the Computational Intelligence Group at UPM

James Yangمشاهده پروفایل

استاد

• Biomechanics
• Human Modeling and Simulation
• Robotics
• +۵ مورد دیگر

Dr. James Yang is a Professor and Associate Chair for Graduate Affairs in the Department of Mechanical Engineering at Texas Tech University . He directs the Human-Centric Design Research Lab and holds Fellowships from SAE and ASME, along with IEEE Senior Membership. His academic journey includes a Ph.D. in Mechanical Engineering from the University of Iowa (2003), an M.S. in Automobile Engineering from Jilin University (1992), and a B.S. in Vehicle Engineering from Jilin University (1989). Research Focus: Human simulation models for engineering, sports, and medicine; digital human modeling; biomechanics; robotics; healthcare engineering; autonomous vehicle dynamics; finite element analysis; muscle fatigue modeling Teaching: Undergraduate and graduate courses in dynamics, control systems, engineering design, and digital human modeling Leadership: Associate Chair for Graduate Affairs (2025-), previously Associate Chair for Undergraduate Studies (2015-2017) Dr. Yang's research lab develops skeletal, musculoskeletal, and finite element human models for ergonomic assessment, injury prediction, exoskeleton interaction, and medical device design. His work spans autonomous vehicle driver behavior , spine surgery optimization , fall prevention , and soft robotics , funded by the US Army, DOE, DOD, NSF, NIST, NIOSH, and industry partners like Honda R&D. Recent publications explore muscle fatigue controllers, 3D lifting optimization, and scissor door mechanism wear analysis. Key scientific awards include: Fulbright U.S. Scholar (2017-2018), Chancellor’s Council Distinguished Research Award (TTU), SAE Arch T. Colwell Merit Award, ASME Best Paper Awards, Air Force Summer Faculty Fellowship, and Whitacre Faculty Fellowship. He serves as Associate Editor for IEEE Transactions on Human-Machine Systems , ASME Journal of Mechanisms and Robotics , and other journals. Advising: Mentored 22+ graduate students including Juan, Jazmin, Ritwik, Shadman, and Erik Grants: NSF REU Site (2017-2019), US Army, DOD (DHA, USARIEM), DOE, NPSF

• Environmental Epidemiology
• Small Area Health Statistics
• Bayesian Hierarchical Models
• +۳ مورد دیگر

Dr James Bennett serves as a Principal Statistician at the School of Public Health within Imperial College London's Faculty of Medicine, specializing in advanced statistical methodologies for public health research. His work bridges epidemiology, environmental health, and geospatial analysis with a focus on global health disparities. His academic foundation includes a BSc in Applied Mathematics from the University of Warwick followed by a PhD in Statistics at Imperial College London under Professor Jon Wakefield. His doctoral research, sponsored by Glaxo Plc, investigated 'Bayesian Analysis of Population Pharmacokinetic Models,' establishing his expertise in Bayesian statistical frameworks. Dr Bennett's research concentrates on environmental epidemiology, small area health statistics, Bayesian hierarchical modeling, and exposure assessment. He employs sophisticated spatial and temporal analytical techniques to examine health-environment interactions, particularly in urban settings across diverse global contexts. His methodological innovations enable precise mapping of health risks at granular geographic scales. Analysis of his recent publications (2023-2025) reveals a dominant focus on geospatial modeling of environmental stressors in sub-Saharan African cities, especially Accra, Ghana. His work integrates street-view imagery, deep learning, and sensor data to quantify air/noise pollution and urban vitality. Concurrently, he contributes to large-scale pooled analyses tracking global trends in diabetes, obesity, and hypertension across hundreds of population studies. No specific scientific awards are documented in available sources. While formal student advising isn't explicitly referenced, Dr Bennett's research involves extensive collaboration with international teams through Imperial College's public health initiatives. His current projects appear funded by urban health and environmental monitoring grants, continuing his long-standing engagement with population-level health data systems. His work with the GARFIELD-AF registry indicates ongoing involvement in cardiovascular outcomes research. His research operates within Imperial College's School of Public Health infrastructure, leveraging partnerships with global health consortia and environmental monitoring networks. Recent work emphasizes interdisciplinary collaboration between statisticians, epidemiologists, urban planners, and environmental scientists to address health inequities in rapidly urbanizing regions.

• Machine Learning
• Offshore Engineering
• Wind Energy
• +۷ مورد دیگر

Arvind Keprate is a Professor at Oslo Metropolitan University and teaches at Kristiania University College . He holds a Ph.D. in Offshore Engineering (2017) from the University of Stavanger, an M.Sc. in Marine & Subsea Technology (2014), and a B.Tech in Mechanical Engineering (2007). He previously worked at NASA's Prognostics Center of Excellence. Research Focus: Prognostics and Health Management (PHM) of complex socio-ecological technical systems like wind farms, combining machine learning, probabilistic techniques, and digital twins. Leadership Roles: Leads the Mechanics, Mechatronics, and Materials Technology (M3T) Research Group and manages the GrønnMet Lab . Grants: Funded by the Research Council of Norway (RCN), Norwegian Directorate for Higher Education and Skills (HK-dir), Norwegian AI Research Consortium (NORA), and RegionaleForskningFond (RFF). Industrial Expertise: 10+ years in pipeline engineering, fatigue analysis, and asset integrity (Reliance Industries, DNV). Editorial Roles: Associate Editor for the International Journal of System Assurance Engineering and Management and Topic Editor for Frontiers in Energy Research.

David Rosowskyمشاهده پروفایل

استاد

• Structural reliability
• Hazard and risk analysis
• Probabilistic load modeling
• +۶ مورد دیگر

David Rosowsky is a Foundation Professor at Arizona State University (ASU), where he also serves as Senior Advisor to the President and Senior Fellow at the University Design Institute. Previously, he held senior leadership roles as Vice President for Research at Kansas State University, Provost and Senior Vice President at the University of Vermont, Dean of Engineering at Rensselaer Polytechnic Institute, and Head of the Zachry Department of Civil Engineering at Texas A&M University. Education: PhD in Civil Engineering (Johns Hopkins University, 1990), MSCE (Tufts University, 1987), BSCE (Tufts University, 1985) His research focuses on structural reliability, hazard modeling, wind and earthquake engineering, and the impact of climate change on natural hazards. He has authored or co-authored over 170 peer-reviewed journal papers and 150 conference proceedings, contributing to probability-based codified design and post-disaster structural assessment. Scientific Awards: ASCE Walter L. Huber Research Prize T.K. Hseih Award from the Institution of Civil Engineers (UK) ASCE Norman Medal ASCE Ernest E. Howard Award As a Fellow of the American Society of Civil Engineers and the Structural Engineering Institute, Rosowsky remains actively involved in graduate teaching and research mentoring. He also writes extensively on higher education leadership, appearing in The Chronicle of Higher Education , Forbes.com , and other outlets.

• Secure Control Systems
• Scalable Control
• Positive Systems
• +۳ مورد دیگر

Sribalaji C. Anand is a postdoctoral researcher at KTH Royal Institute of Technology, Sweden, affiliated with the Division of Decision and Control Systems and the Department of Intelligent Systems. Hosted by Prof. Karl Henrik Johansson and Prof. Henrik Sandberg, his academic journey includes an M.Sc. in System and Control from Delft University of Technology (2019) and a Ph.D. in Automatic Control from Uppsala University (2024). Research Focus: Secure control systems, scalable control, positive systems, convex optimization applications, dissipative systems, and adaptive control. Grants: VR International Postdoctoral Grant (2024), STINT International Postdoctoral Scholarship (2024), and multiple travel scholarships from IEEE and Stenholm Wilgott. Publications: 15 recent articles covering security metrics, attack mitigation, and control system optimization.