جست‌وجوی استاد و پژوهشگر

Youssef Harrathمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Scheduling Algorithms
• Cloud Computing
• +۵ مورد دیگر

Youssef Harrath is an Associate Professor at The Beacom College of Computer & Cyber Sciences, Dakota State University since July 2023. He previously held academic roles at institutions including the University of Bahrain (13 years), University of Hail (Saudi Arabia, 5 years), and several French institutions. His research focuses on optimization algorithms, scheduling systems, and smart technologies. He has been an IEEE Senior Member since 2019 and served in leadership roles within the IEEE Bahrain Computer Society. Education: Ph.D. in Computer Science, Franche-Comté University (France, 2003) M.Sc. in Operational Research, Polytechnic National Institute (Grenoble, 2000) B.Sc. in Applied Mathematics & Computer Science, Science University (Monastir, Tunisia, 1998) Research Interests: Dr. Harrath leads the 'Intelligent Systems and Optimization Solutions' research team at the University of Bahrain. His work spans: Optimization algorithms for transportation and hazardous waste management Genetic algorithm applications in scheduling and production systems IoT-based smart systems (parking, transportation) Multi-objective metaheuristics for complex problems Publications: His 50+ publications address topics like drone routing, bin-packing optimization, and cloud computing. Recent work includes AI-driven solutions for crop yield improvement and healthcare applications. Awards: IEEE Senior Member (2019) Community Engagement: Organizes international faculty social events, soccer tournaments, and manages community discussion groups.

Kun Xieمشاهده پروفایل

دانشیار

• Transportation Safety
• Transportation Reliability and Resilience
• Incident/Emergency Management
• +۶ مورد دیگر

Kun Xie is an Associate Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU), part of the Batten College of Engineering and Technology. He holds a Ph.D. in Transportation Planning and Engineering from New York University (NYU) and has held prior roles as a Lecturer at the University of Canterbury (New Zealand) and a Postdoctoral Associate at NYU’s Center for Urban Science and Progress (CUSP). His research focuses on data-driven solutions for enhancing transportation system safety, efficiency, and resilience. Key areas include machine learning applications, spatiotemporal modeling, and incident management. Dr. Xie has secured multi-million dollar grants from NSF, VDOT, and NOAA, and his work has resulted in over 100 refereed publications. He is an Associate Editor for Transportation Research Record and the IEEE Intelligent Transportation Systems Conference. Education: Ph.D., Transportation Planning & Engineering, New York University Postdoctoral Training, Center for Urban Science and Progress (CUSP), NYU His research interests span AI in transportation, connected/autonomous vehicles, and resilience during disasters. Notable achievements include the IEEE ITS Best Dissertation Award (2016) and the TRB Best Paper Award (2015). His lab, the Transportation Informatics Lab , develops advanced tools like the SAVE-T Safety Analysis Visualization and Evaluation Tool . Recent work addresses pandemic impacts on driving behavior, hurricane evacuation modeling, and equity in safety performance metrics. He collaborates with industry partners on projects like drone-based traffic analytics and safety service patrol optimization.

Michelle R. Hribarمشاهده پروفایل

استاد پژوهشی

• Clinical Informatics
• Data Science
• Operations Research
• +۴ مورد دیگر

Michelle R. Hribar is a Research Professor at Oregon Health & Science University (OHSU), specializing in clinical informatics, data science, and operations research. Her work focuses on leveraging electronic health record (EHR) data to improve clinical workflows and outcomes, particularly in ophthalmology. She holds a Ph.D. in computer science from Northwestern University and completed an NLM Clinical Informatics Fellowship at OHSU (2013–2015). Her research integrates mathematical modeling, machine learning, and usability principles to address challenges in EHR documentation, predictive modeling, and data quality. Key contributions include studying clinician workflows, medication adherence, and the impact of medical scribes on documentation efficiency. She has pioneered methodologies for phenotype identification in real-world datasets and EHR metadata analysis. Hribar has been awarded the NIH/NLM K99-R00 Pathway to Independence Award (2015–2020) and twice won the AMIA Student Design Competition (2014, 2015). Her work spans over 60 peer-reviewed articles, emphasizing AI applications in ophthalmology, EHR interoperability, and healthcare data standardization. She actively contributes to the OHDSI network and collaborates with multidisciplinary teams to advance translational vision science and informatics.

• Industrial Organization
• Strategic Management
• Human Resources Management
• +۵ مورد دیگر

Assoc. Prof. Cemil Ceylan is an academic at Istanbul Technical University, holding dual affiliations in the Department of Industrial Engineering and Department of Business Administration. He holds a PhD in Industrial Engineering from the same institution. His research focuses on Industrial Organization, Strategic Management, and Human Resources Management, with notable contributions in process mining applications for healthcare, organizational learning, and SME competitiveness analysis. He has advised over 20 graduate theses since 2005, specializing in topics like process optimization, motivation in IT projects, and strategic management applications. Educational Background: PhD in Industrial Engineering, Istanbul Technical University (dr) (2001) MSc in Engineering Management, Istanbul Technical University (1993) BSc in Industrial Engineering, Istanbul Technical University (1990) Research Interests: Process Mining for healthcare and manufacturing process safety Leadership behaviors and employee motivation Competitiveness factors in SMEs Value stream mapping and facility layout optimization Organizational learning mechanisms Strategic management implementation in telecom and education sectors Advising & Grants: Supervised 23+ master's and doctoral theses (2005-2025) Active in interdisciplinary research spanning engineering, business administration, and healthcare Labs/Teams: Engages in university-based research groups focusing on process optimization, organizational behavior studies, and innovation management initiatives.

• Mobile Systems
• Ubiquitous Computing
• Ad Hoc Networks
• +۳ مورد دیگر

Elmar Schoch is a Lecturer at the Faculty of Informatics, Department of Distributed Systems at Ulm University. His research focuses on vehicular networks (V2X), ad hoc networks, and security mechanisms in mobile systems. He has been a contract lecturer since 2010, teaching courses like Security in IT Systems and Mobile Computing. His doctoral dissertation, 'Secure Communication in Inter-Vehicle Networks' (2009), explores security challenges in vehicular communication. He actively participates in projects like SEVECOM and has contributed to over 30 peer-reviewed publications in conferences such as ACM VANET, IEEE Globecom, and IEEE Wicomm. His work frequently addresses topics like secure geocast, VANET security, and privacy-preserving data aggregation. He has presented at workshops including KiVS and WMAN, and his research bridges theoretical modeling with practical implementation challenges in vehicular networks.

Maurizio Bocciaمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Logistics
• +۵ مورد دیگر

Maurizio Boccia is an Associate Professor at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technologies. His research focuses on optimization methodologies and their applications in logistics, transportation systems, and healthcare management. He holds a Ph.D. in Operations Research and has contributed extensively to the development of exact and heuristic algorithms for complex scheduling and routing problems. Key research interests include combinatorial optimization, vehicle routing problems (e.g., TSP variants with drones), automated guided vehicle (AGV) scheduling, and optimization in healthcare settings. He has also explored educational strategies, such as the OPS4Math project, which integrates optimization techniques into mathematics education. His work frequently involves mixed-integer linear programming (MILP), branch-and-cut algorithms, and matheuristics. Notable applications include railway dispatching for the Union Pacific Railroad, operating room planning in hospitals, and logistics network design. He has collaborated on real-world projects, such as improving exam scheduling in Norway and optimizing postal collection routes in rural areas. Boccia’s publications span over two decades, with contributions to both theoretical advancements (e.g., lifted cover inequalities, Fenchel cuts) and practical implementations (e.g., web cache location models, traffic sensor placement). His research often bridges theoretical optimization frameworks with real-world operational challenges.

• Homogenization Theory
• Calculus of Variations
• Nonlinear Analysis
• +۳ مورد دیگر

Valeria Chiadò Piat is an Associate Professor at Politecnico di Torino, specializing in homogenization theory, calculus of variations, and nonlinear analysis. Her research focuses on multiscale problems, including the analysis of degenerate functionals, oscillating manifolds, and composite materials. She has organized significant events such as the 2025 'Perspectives in the Calculus of Variations' conference and the 2020 'Calculus of Variations and Applications' workshop. Her work bridges theoretical analysis and applied material science, with key contributions to homogenization of high-contrast materials, discrete double-porosity models, and anisotropy properties in polycrystalline magnetic systems. Notable collaborations include projects with A. Braides on extension theorems and non-local functionals, and with O. Bottauscio on magnetic materials' effective properties. Recent publications (2021–2025) emphasize relaxation of degenerate functionals and homogenization in oscillating domains. Her research also explores phase transitions in composite media and variational inequalities for elasto-plastic systems. She has contributed to both foundational theory and numerical methods in material science.

• Advanced Maintenance Practices
• Automation Systems
• Industry 4.0
• +۵ مورد دیگر

Abdu Shaalan is a Lecturer in Electrical and Electronics Engineering at the University of Sunderland. His research focuses on advanced maintenance practices, automation systems, and Industry 4.0 technologies, including IoT and robotics. He teaches modules such as Automation Systems, Advanced Maintenance Practices, and Smart Factory Technologies on courses like BEng (Hons) Electronic and Electrical Engineering and MSc Engineering Management. His work emphasizes improving production systems and knowledge transfer to enhance industry competitiveness. He is affiliated with the David Goldman Technology Centre (DG113A).

Afrooz Moatari-Kazerouniمشاهده پروفایل

استادیار

• Supply Chain Management
• Operations Management
• Process Improvement
• +۶ مورد دیگر

Afrooz Moatari-Kazerouni is an Assistant Professor of Operations Management at Widener University’s School of Business Administration. She holds an MSc in Production Management from the Technical University of Denmark and a PhD in Industrial Engineering from École Polytechnique de Montréal. She completed post-doctorate fellowships at McGill University and Université du Québec à Montréal. Previously, she served as faculty at the Dhillon School of Business (University of Lethbridge, Canada) and as a Visiting Assistant Professor at Adelphi University’s Robert B. Willumstad School of Business. Education: Post-doctorate, Manufacturing Engineering – McGill University Post-doctorate, Management and Technology – Université du Québec à Montréal PhD, Industrial Engineering – École Polytechnique de Montréal MSc, Manufacturing Engineering, Production Management – Technical University of Denmark Research Focus: Her work centers on operational efficiency, supply chain resilience, and technology integration in healthcare and manufacturing sectors. Key areas include RFID and blockchain applications for traceability, process redesign in healthcare settings, supply chain transparency, and inventory management for short-lifecycle products. She collaborates with organizations such as Ciena, Jewish General Hospital, and aerospace companies like Pratt & Whitney Canada and Rolls-Royce. Publications Trends: Her recent work emphasizes blockchain’s role in clinical trials and healthcare supply chains (2024), supply chain resilience strategies (2025), and RFID-based solutions for emergency response and surgical logistics (2021–2017). Earlier research includes safety integration in facility design (2015–2012) and new product development metrics in aerospace (2014). Consulting & Experience: She has advised on healthcare process optimization at institutions like McGill University Health Center and University of Iowa Hospital, and collaborated with Ciena on telecommunication supply chain analysis. Her work bridges academic research with industry applications, particularly in leveraging technology for operational excellence.

CHOW Wai Lengمشاهده پروفایل

دانشیار مدعو

• Health Services Research
• Telehealth and Telemedicine
• Public Health Policy
• +۴ مورد دیگر

Dr. CHOW Wai Leng is an Adjunct Associate Professor at the NUS Saw Swee Hock School of Public Health and currently serves as Director of the Epidemiology and Disease Control Division at the Ministry of Health (MOH), Singapore. Her work focuses on policy implementation for non-communicable diseases, including diabetes, maternal/child health, and pandemic response (e.g., COVID-19). She also integrates data analytics and research into public health strategies. Previously, she led the Health Services Research department at Changi General Hospital, specializing in data-driven decision-making. Her research interests encompass telehealth, care model innovation, technology-driven health behavior change, and resource allocation optimization. She collaborates across institutions like I2R and NUS. Education: Graduate Diploma in Family Medicine. Professional history includes roles in healthcare management, policy development, and medical practice spanning over two decades. Notable areas of expertise include emergency department optimization, chronic disease management, and healthcare system efficiency. She has published extensively on public health topics, blending clinical, operational, and policy perspectives.

Myron Hlynkaمشاهده پروفایل

استاد

• Queueing Theory
• Applied Probability
• Stochastic Processes
• +۳ مورد دیگر

Dr. Myron Hlynka is a Professor and Chair of the Actuarial Science Program in the Department of Mathematics and Statistics at the University of Windsor, part of the Faculty of Science. He holds a Ph.D. in Mathematics from Penn State University. His research focuses on Queueing Theory, Applied Probability, Stochastic Processes, and Operational Research, with notable applications to healthcare systems and disease modeling. He has advised multiple graduate students, including T. Sajobi, D. Chang, and C. Ramasundarahettige. His work explores theoretical queueing models across diverse domains, such as telecommunications, healthcare, and traffic systems. Recent research highlights include modeling medical interventions using game theory and Markov chains, analyzing parking lot dynamics, and studying sleep patterns as stochastic processes. Dr. Hlynka has contributed to software tools for queueing analysis and has published extensively on topics ranging from Laplace transforms to Fibonacci sequence applications. His research emphasizes practical applications of stochastic models to real-world challenges, including optimization of service systems, risk assessment, and performance evaluation. He maintains an active role in academic leadership through his chairmanship and contributions to curricula in actuarial science.

Rens Kortmannمشاهده پروفایل

استادیار

• Simulation gaming
• Gamification
• Systems modeling
• +۵ مورد دیگر

Rens Kortmann is an Assistant Professor at Delft University of Technology, affiliated with the Faculty of Technology, Policy and Management and the Multi-Actor Systems department. He operates within the Policy Analysis group, focusing on systems modeling and simulation to address societal challenges like energy transitions. Education: MSc in Cognitive Science (University of Groningen), PhD in Computer Science (Maastricht University), with research experience at Edinburgh's Artificial Intelligence department His research emphasizes simulation gaming as a primary method, complemented by discrete event simulation, agent-based models, and cybernetics. He investigates games' potential to drive cultural change through embodied experiences and ludic performances, collaborating on projects like: ROTBEESTEN?! – a motivator game for forensic mental healthcare training Talk that Talk – persuasive card game against sexually transgressive behavior Veerkracht series – servant-leadership development games Parsifal Game Opera – performance-art-meets-game cultural experiments Key trends in his publications include: 2023-2021: Forensic vigilance training, sexually transgressive behavior interventions 2019-2018: Contextual game design principles, urban canal logistics 2016-2014: Ludic performances, servant-leadership simulations Scientific recognition includes: Mekel Prize for sustainable innovation (2017) from TU Delft Organized ISAGA game design summer school (2014) and served as ISAGA conference chair (2017) He contributes to academic governance as a reviewer for journals/conferences and through collaborative works with researchers like Vincent Peters, Alexander Verbraeck, and Gwendolen Bekebrede. His 2024-2026 secondary affiliation includes the Macromechanic Laboratory in Civil Engineering and Geosciences.

• Modeling and Simulation (M&S)
• Data-driven M&S
• Data analytics and visualization
• +۴ مورد دیگر

Dr. Yilin Huang is an Assistant Professor at the Faculty of Technology, Policy and Management at Delft University of Technology, affiliated with the Systems Engineering and Simulation group. She holds a PhD in Automated Simulation Model Generation from TU Delft (2013) and completed a postdoctoral fellowship from 2014–2016. Her research focuses on Modeling and Simulation (M&S) methodology, with emphasis on data-driven approaches, distributed simulation, and design for sustainability. Key application domains include transportation/logistics, smart grids, and humanitarian innovations. She teaches courses like 'Complex Systems Engineering' and 'Advanced Discrete Simulation', contributing to both academic and practical advancements in simulation-based design. Huang's work bridges disciplinary and interdisciplinary research, emphasizing the complementary nature of both. Her recent publications address energy transition planning, carbon footprint quantification, and pandemic impact analysis on maritime networks. She actively collaborates on EU projects like CIVIS and develops open-source platforms for smart grid engagement (e.g., YouPower). Her academic contributions span simulation reproducibility, IoT integration in energy systems, and policy-informed model development. She advises on intercultural internships and maintains research portals on ResearchGate and Google Scholar.

• Cyber-Physical Systems
• Smart Grids
• Swarm Intelligence
• +۵ مورد دیگر

Prof. Wilfried Elmenreich is a Professor at the Department of Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He serves as a Member of the Senate and Member of the Works Council for Academic Staff. His research focuses on Cyber-Physical Systems, Smart Grids, Swarm Intelligence, and Sustainability Technologies. He leads projects involving swarm robotics, decentralized energy management, and educational technology. Key research areas include: Design of swarm-based algorithms for production scheduling and robotics Development of frameworks like SwarmFabSim for bottom-up optimization Non-Intrusive Load Monitoring (NILM) using neural networks and edge computing Integration of federated learning into smart grid systems Sustainability education and pandemic-related behavioral studies His work combines theoretical contributions with practical implementations, such as the CPSwarm project for swarm system design and the Yomopie energy monitoring tool. Recent publications emphasize interdisciplinary approaches, blending robotics, machine learning, and electrical engineering to address challenges in energy systems and autonomous systems.

Rodrigo Romero Silvaمشاهده پروفایل

استادیار

• Logistics
• Operations Research
• Supply Chain Management
• +۳ مورد دیگر

Rodrigo Romero Silva is an Assistant Professor in the Operations Research and Logistics Group at Wageningen University & Research. His research focuses on optimizing traditional food distribution channels (open markets, farmers' markets, wholesale markets) globally using mixed-method approaches including qualitative interviews and discrete-event simulation. He also investigates stochastic logistics systems and production variability effects on capacitated systems, particularly in serial/merging production lines. His work addresses machine reliability and assembly line performance under uncertainty. Current projects include Freight Mobility as a Service (FMaaS) and Cocoa Supply Chain Sustainability & Optimization. He coordinates the Master's course Food Logistics Management and supervises MSc Internships/Theses in Operations Research and Logistics. Expertise includes discrete simulation, management science, and production planning. Publications span 2019-2025, emphasizing agri-food supply chains, air cargo logistics, and production scheduling methodologies. His recent work highlights interdisciplinary approaches to enhance system resilience and operational efficiency in global supply networks.