جستجوی استاد راهنمای دانشگاهی

Annarita De Maioمشاهده پروفایل

پژوهشگر

• Logistics 4.0
• Sustainable Logistics
• Last-Mile Delivery
• +۳ مورد دیگر

Annarita De Maio serves as a Researcher in Operations Research (MAT/09) at the Department of Economics, Statistics and Finance (DESF) of the University of Calabria, where she teaches Logistics, Operations Research, and Mathematical Methods for Economics courses across undergraduate and graduate programs including Economics, Data Science, and Management Engineering. PhD in Mathematics and Computer Science (2018), University of Calabria Dissertation: Integrated Logistics and Last-Mile Deliveries (developed with Procter & Gamble) Research periods at P&G Brussels and CIRRELT/Laval University (Quebec) Her research centers on Logistics 4.0 innovations with dual emphasis on sustainable last-mile delivery systems (crowdshipping, autonomous robots, locker networks) and smart tourism applications . Current projects integrate IoT and AI for optimizing pharmaceutical distribution, perishable goods logistics, and urban tourist trip planning while addressing environmental constraints and stochastic demand patterns. Recent publications (2022-2025) reveal three thematic clusters: (1) stochastic optimization for dynamic delivery systems, (2) sustainable urban logistics solutions using multi-modal transport, and (3) data-driven tourism management frameworks. Her work consistently bridges theoretical modeling with industrial case studies involving Italian companies and municipal authorities. As an active member of DESF's Quantitative Methods for Economics, Finance and Management research group, she contributes to regionally and nationally funded projects focusing on mathematical programming applications. Her international conference participation includes speaking and organizing roles at major logistics and operations research events. Dr. De Maio collaborates within the department's research ecosystem through the Quantitative Methods group, which develops computational models for decision-making in finance, actuarial science, and transportation. Current initiatives explore crowdshipping economics, green tourist trip design, and risk-aware inventory systems for perishable commodities.

• Artificial Intelligence
• Smart and Service Industry
• Mobility and Transport
• +۵ مورد دیگر

Marco Schutten is an Associate Professor at the Digital Society Institute of the University of Twente, affiliated with the Industrial Engineering & Business Information Systems department. His work bridges Artificial Intelligence , Transportation , and Operations Research , focusing on optimizing complex systems. Expert in Urban Logistics and Freight Transport Specializes in Mathematical Programming and Optimization Research interests include Vehicle Routing , Machine Scheduling , and Agent-Based Simulation . Key trends in his 15 most recent articles (2015–2025) involve: Dynamic scheduling under time constraints Urban logistics and smart city applications Heuristics for combinatorial optimization Integration of MILP and Simulation models No scientific awards, formal supervisory roles, or part-time appointments are explicitly mentioned.

• Regional Planning
• Urban Design
• City Planning
• +۴ مورد دیگر

Mehmet Ali Yüzer is an Associate Professor at the Department of Urban and Regional Planning , Istanbul Technical University . With a focus on Regional Planning , Urban Design , and City Planning , his work integrates computational methods and spatial modeling to address urban growth, land-use dynamics, and transportation systems. PhD in Urban Planning (Istanbul Technical University, 1997) MA in Urban Planning (Istanbul Technical University, 1991) Licence in Urban and Regional Planning (Istanbul Technical University, 1985) His research explores parcel-based estimation models , cellular automata for urban prediction, and gravity models for transportation demand. Key projects include analyzing the impact of high-speed rail systems on regional accessibility and developing frameworks for industrial area site selection and urban expansion assessment . Recent publications highlight his contributions to 3D urban growth modeling , land use change analysis , and industrial location prediction . Awards include multiple Honorable Mentions in national architectural and urban design competitions from 2001 to 2014. Scientific Awards : Bursa Kültürpark Competition (5th Honorable Mention, 2001); Çanakkale Social Housing Renewal (2014); ITU Ayazağa Campus Master Plan (1st Honorable Mention, 2012); Denizli Government Office Urban Design (1st Honorable Mention, 2009); Kadıköy Square Competition (2nd Honorable Mention, 2001) He has led projects such as the ITA Ayazağa Campus Urban Design , Socioeconomic Effects of High-Speed Rail , and Gravity Model Development for Istanbul’s Kayaşehir Region . His work emphasizes interdisciplinary collaboration and geospatial technologies.

George Mannمشاهده پروفایل

استاد

• Intelligent Control
• Robotics
• Machine Vision
• +۶ مورد دیگر

George Mann is a Professor at Memorial University of Newfoundland's Faculty of Engineering and Applied Science. He holds a B.Sc. in Mechanical Engineering from the University of Moratuwa (Sri Lanka), an M.Sc. in Computer Integrated Manufacturing from Loughborough University (UK), and a Ph.D. in Intelligent Control from Memorial University. His research focuses on intelligent control systems, robotics, and machine vision, with significant contributions to autonomous navigation, sensor fusion, and UAV technologies. He leads the Intelligent Systems Laboratory (ISLAB) and has pioneered work on LiDAR-assisted radar enhancement, multi-robot localization, and exoskeleton control systems. **Education**: B.Sc., Mechanical Engineering, University of Moratuwa (Sri Lanka) M.Sc., Computer Integrated Manufacturing, Loughborough University (UK) Ph.D., Intelligent Control, Memorial University (Canada) **Research Interests**: Dr. Mann’s work spans autonomous systems, UAV navigation, sensor fusion (e.g., LiDAR, radar, INS), and robotics applications in mining, healthcare, and environmental monitoring. His recent projects include developing computationally efficient NMPC algorithms for UAVs and creating robust localization systems for heterogeneous multi-robot networks. **Publications**: His articles emphasize advancements in navigation algorithms, disturbance estimation for multi-rotor stability, and AI-driven sensor integration. Key themes include improving system robustness under uncertainty and optimizing computational efficiency in real-time control. **Labs & Teams**: Director of ISLAB, collaborating on exoskeleton development (e.g., Anthro-X) and UAV plume tracking for environmental sensing. Active in industry partnerships like C-CORE for mining automation.

Hans Baumgartnerمشاهده پروفایل

استاد

• Consumer Psychology
• Structural Equation Modeling
• Cross-cultural Measurement
• +۱ مورد دیگر

Hans Baumgartner is Smeal Chair Professor of Marketing at Pennsylvania State University, specializing in consumer psychology and research methodology. His work develops advanced measurement techniques for cross-cultural consumer research, including structural equation modeling approaches for scale validation and response bias correction. Professor Baumgartner's research examines pathological buying behaviors, cross-cultural response patterns, and pro-environmental decision-making. Recent publications focus on improving measurement validity in international marketing studies through methodological innovations addressing common method variance and careless responding. He has authored foundational texts on marketing measurement and serves on editorial boards of major marketing journals.

Sean X. Heمشاهده پروفایل

دانشیار

• Transportation Systems
• Infrastructure Resilience
• Connected Autonomous Vehicles
• +۲ مورد دیگر

Sean X. He is an Associate Professor in the Civil and Environmental Engineering department at Rensselaer Polytechnic Institute , joining in 2017. His research focuses on modeling and simulating transportation systems, particularly the impacts of emerging technologies and network disruptions. Ph.D. and M.S. in Transportation Engineering from University of Minnesota, Twin Cities B.S. and M.S. in Computational Mathematics His expertise spans interdependent infrastructure resilience, connected autonomous vehicles (CAVs), and electric vehicles. He serves on the Network Modeling Standing Committee of the Transportation Research Board (TRB), and holds editorial roles for Transportation Research Part B , Frontiers in Future Transportation , and as guest editor for multiple journals. His work on CAVs and transportation resilience has earned recognition, including the Best Paper Award at the 18th International IEEE Conference on Intelligent Transportation Systems and the NSF CAREER Award 2021 . Recent publications highlight his work in dynamic traffic equilibrium, vehicle re-identification algorithms, and energy-efficient transportation systems. Collaborative research trends integrate AI, optimization techniques, and environmental impact analysis to address challenges in urban mobility and network disruptions. NSF CAREER Award 2021 Best Paper Award - 18th International IEEE Conference on Intelligent Transportation Systems

Carsten Deckertمشاهده پروفایل

استاد

• Cultural Influences on Innovation
• Sustainable Logistics
• Engineering Creativity
• +۴ مورد دیگر

Prof. Dr.-Ing. Carsten Deckert serves as Professor of Innovation and Production Management at Hochschule Düsseldorf University of Applied Sciences within the Faculty of Mechanical and Process Engineering. He leads the WIM (Business Information Systems and Management) program and teaches courses including Basics of Business Administration, Procurement and Supply Chain Management, Technology Management, Innovation and Technology Management, and Operations Management, along with electives in Sustainable Logistics and Behavioral Economics. Dr. Deckert's research focuses on the intersection of cultural influences and innovation capacity at both national and organizational levels, sustainable logistics systems, engineering creativity, and social innovation. His work examines how cultural dimensions such as collectivism, performance orientation, trust, and tolerance impact a nation's ability to innovate. He has pioneered research on measuring engineering creativity and comparing it with artificial intelligence capabilities, while also exploring sustainable logistics solutions including micro-depots for urban parcel delivery and underground cargo transport systems. His extensive publication record of 117 publications with over 57,000 reads demonstrates significant scholarly impact across multiple disciplines. The recent articles reveal a clear research trajectory examining cultural determinants of innovation, sustainable logistics solutions for urban environments, and creativity in engineering education. His work bridges theoretical frameworks with practical business applications, often presented through detailed case studies on topics ranging from synthesizer development to rap music commercialization. Dr. Deckert actively supervises bachelor's and master's theses in areas including cultural influences on innovation capacity, creativity in engineering, social innovation, sustainable logistics, and behavioral economics. He encourages students to submit inquiries regarding thesis supervision with details about their degree program, expected supervision period, preferred subject areas, and academic transcripts. His research projects include the assessment of the ecological and economic implementation of the CargoCap system at the Bergisch Gladbach site, demonstrating his commitment to practical, sustainable logistics solutions.

Fritz Buschمشاهده پروفایل

استاد

• Traffic Engineering
• Urban Transportation Systems
• Environmental Engineering
• +۴ مورد دیگر

Prof. Dr.-Ing. Fritz Busch holds the Professorship of Traffic Engineering and Control at the Department of Civil, Geo and Environmental Engineering at Technische Universität München (TUM). His research focuses on urban transportation systems, traffic dynamics, and sustainable mobility solutions. He leads projects such as RASCH (RAdSCHnellwege) and RadOnTime, exploring efficient bicycle infrastructure and traffic management strategies. His work integrates advanced simulation techniques, data-driven methodologies, and cooperative vehicle-infrastructure systems to enhance urban mobility resilience and reduce environmental impacts. Educational Background: While specific academic qualifications are not detailed here, his title of Professor Dr.-Ing. indicates a doctoral degree in engineering and significant academic contributions. His professorship at TUM underscores expertise in traffic engineering and control systems. Research Interests: Busch’s research spans macroscopic traffic dynamics, bicycle and pedestrian traffic management, emissions reduction through electric vehicle integration, and the application of smart technologies (e.g., V2X communication) for traffic optimization. His projects often involve interdisciplinary collaboration, combining engineering, data science, and urban planning to address complex mobility challenges. Awards and Recognition: While no specific awards are listed, his prolific publication record and involvement in high-profile TUM initiatives reflect his scholarly impact and leadership in transportation engineering. Advising and Grants: Though specific grants are not mentioned, his active participation in projects like UR: BAN (Urban Road Network) and numerous collaborations suggest extensive grant-funded research. Advising activities are inferred through his role as a professor and project leader but are not explicitly detailed here. Labs and Teams: His work leverages the TUM-VT bicycle simulator and SUMO (Simulation of Urban MObility) tools for traffic simulation studies. He collaborates with interdisciplinary teams on projects such as eco-sensitive traffic management and automated vehicle integration.

Abolfazl Safikhaniمشاهده پروفایل

استادیار

• Network Modeling
• High-Dimensional Statistics
• Spatiotemporal Models
• +۵ مورد دیگر

Abolfazl Safikhani is an Assistant Professor in the Department of Statistics at George Mason University. He holds a PhD in Statistics and Probability from Michigan State University and has held prior positions at Columbia University and the University of Florida. His research focuses on network modeling, high-dimensional statistics, spatiotemporal models, and applications in urban planning, neuroscience, and smart cities. He is an Associate Editor for Technometrics , Statistica Sinica , and Data Science in Science . He has contributed to advancements in statistical methodologies for time series analysis, including change point detection, transfer learning, and spatiotemporal modeling. His work bridges theoretical statistics with practical applications in urban growth prediction, healthcare (e.g., cancer drug response modeling), and transportation systems. Recent research trends include leveraging explainable AI for land use modeling, longitudinal omics data analysis, and structural break detection in high-dimensional systems. His publications span theoretical developments and real-world case studies, such as subway ridership during the pandemic and New York City’s taxi demand dynamics. Despite no listed awards, his editorial roles highlight his influence in statistical science. He actively mentors students and collaborates on interdisciplinary projects, emphasizing data-driven solutions for complex societal challenges.

Seokgi Leeمشاهده پروفایل

استادیار

• Distributed Control Systems
• Predictive Analytics
• Artificial Neural Networks
• +۶ مورد دیگر

Dr. Seokgi Lee is an Assistant Professor in the Department of Industrial and Systems Engineering at Youngstown State University (YSU), part of the Rayen School of Engineering. Previously, he served as an Assistant Professor in Industrial Engineering at the University of Miami. He holds a Ph.D. in Industrial and Manufacturing Engineering from Pennsylvania State University and B.S./M.S. degrees in Industrial Engineering from Hanyang University, South Korea. His research focuses on distributed control systems, predictive analytics, and simulation-optimization for service engineering processes in supply chains, transportation, and healthcare. Notable expertise includes energy-aware manufacturing systems, prevention service analytics, and applications of machine learning in logistics and healthcare. Dr. Lee’s educational background includes teaching roles at YSU, the University of Miami, and Penn State, covering courses such as Decision Analysis for Engineering, System Analysis and Design, Operations Research, and Production Systems. He has contributed to institutional service through committees like the New Faculty Search in ISEN (YSU) and PhD recruitment in Industrial Engineering (University of Miami). His research trends emphasize interdisciplinary solutions, blending control theory with machine learning to address energy efficiency, healthcare optimization, and sustainable logistics. Recent publications highlight work on dynamic scheduling algorithms, opioid prescribing disparities, and green transportation systems. While no specific awards are listed, his active engagement in academic service underscores his commitment to institutional advancement. Teaching and advising form a core part of his role, with a focus on graduate and undergraduate engineering curricula. His work integrates real-world applications, such as optimizing infusion center operations and modeling energy costs in manufacturing, demonstrating a strong practical orientation.

Tracy L. Kijewski-Correaمشاهده پروفایل

استاد

• Civil Infrastructure Engineering
• Natural Hazard Assessment
• Disaster Mitigation
• +۵ مورد دیگر

Tracy L. Kijewski-Correa is the William J. Pulte Director of the Pulte Institute for Global Development and Academic Director of the Integration Lab (i-Lab) at the University of Notre Dame's Keough School of Global Affairs. She holds a joint appointment as Professor of Civil Engineering and Global Affairs in the Department of Civil and Environmental Engineering & Earth Sciences. Her research focuses on civil infrastructure challenges in both developed and developing contexts, with particular emphasis on natural hazard assessment and mitigation. A co-founder of Engineering2Empower (E2E), she has developed comprehensive strategies for sustainable housing in Haiti, integrating community-led innovation and market-based solutions. Her work spans multiple regions including Haiti, United States, Latin America, Middle East, South Asia, and South Pacific/Oceania. Kijewski-Correa's recent publications demonstrate a clear trend toward leveraging open data and computational approaches for high-fidelity regional loss estimations, particularly for hurricane risk assessment. Her work increasingly integrates computer vision, Bayesian data integration, and component-level fragility modeling to advance the precision of disaster impact predictions while maintaining computational tractability across large building portfolios. Kellogg Institute Faculty Fellow (since 2011) Her research has been supported by multiple grants including projects focused on climate adaptation in Bangladesh and Haiti, community-driven development in Haiti, post-disaster sheltering programs, and technology incubators for sustainable development. As director of the Pulte Institute and Academic Director of the i-Lab, she leads interdisciplinary teams working at the intersection of engineering, global development, and disaster resilience.

Mariaflavia Harariمشاهده پروفایل

دانشیار

• Urban Economics
• Development Economics
• Real Estate
• +۳ مورد دیگر

Mariaflavia Harari is an Associate Professor of Real Estate and Leonard J. Horwitz Faculty Scholar at The Wharton School, University of Pennsylvania. Her research bridges urban economics, development economics, and real estate, focusing on land markets, urban form, and policy impacts in developing countries. PhD in Economics from Massachusetts Institute of Technology (MIT), 2016 M.Sc. and B.A. in Economics and Social Sciences from Bocconi University, 2009 and 2007 (both summa cum laude) Research explores: Colonial legacies in land market formalization (Jakarta) Long-term effects of slum upgrading programs Residential segregation impacts on public goods access Urban geometry's economic implications (India) Legal reforms for women's empowerment (Kenya) Climate shocks and conflict in Africa Her recent publications (2020-2025) span topics including urban compactness, inheritance rights, and climate-conflict linkages, employing innovative methods like boundary discontinuity designs and satellite imagery analysis. Key awards include the Leonard J. Horwitz Faculty Scholar. She teaches courses on real estate investments and urban economics in developing countries.

Qi Luoمشاهده پروفایل

استادیار

• Supply Chain Management
• Urban Transportation
• Emerging Mobility Services
• +۸ مورد دیگر

Qi Luo is an Assistant Professor in the Department of Business Analytics at Tippie College of Business, University of Iowa. His research focuses on developing data-driven decision-making models in supply chain management, emerging mobility services, and healthcare systems, alongside designing efficient algorithms for online learning, dynamic games, and nonlinear optimization. Education: While specific educational background details are not provided in the text, Dr. Luo's extensive research portfolio and academic position suggest advanced training in operations research, business analytics, or related quantitative fields. Research Interests: Core Areas: Data-driven decision making, supply chain optimization, urban transportation systems, healthcare operations Methodological Focus: Online learning algorithms, dynamic game theory, stochastic optimization, nonlinear programming Application Domains: Emerging mobility services (ride-sharing, autonomous vehicles), multimodal transit systems, inventory management with fixed costs, clinical trial optimization Research Impact: Dr. Luo's work spans from theoretical algorithmic developments to practical applications in transportation and healthcare. His publications demonstrate a consistent focus on solving real-world problems through advanced optimization techniques, with particular emphasis on stochastic modeling and learning-based approaches. The research addresses critical challenges in modern transportation systems including ride-pooling, multimodal transit, and autonomous vehicle operations, as well as healthcare applications like clinical trial design and robotic surgery optimization. Scientific Recognition: TRB Kikuchi-Karlaftis Best Paper Award INFORMS APS Best Student Paper (finalist) IEEE I-Sim Best Student Paper Award Research Funding & Support: Principal Investigator: "Early-Stage Clinical Trials with Patient Choice" - National Science Foundation (NSF), funded June 2023 - August 2026 ($XXX,XXX) Investigator: "Exploring Passenger-Parcel Comodality Transportation in Rural Regions" - Tippie College of Business, funded March 2025 - February 2026 Professional Affiliations: Dr. Luo maintains active memberships in leading professional organizations including the Association for Computing Machinery (ACM) since 2020, Institute of Electrical and Electronics Engineers (IEEE) since 2019, and Institute for Operations Research and the Management Sciences (INFORMS) since 2015.

Arpan Rijalمشاهده پروفایل

استادیار

• Optimization
• Personnel Scheduling
• Energy Systems Modeling
• +۳ مورد دیگر

Dr. Arpan Rijal is an Assistant Professor at the University of Groningen's Faculty of Economics and Business, specializing in Operations Management & Operations Research. His research focuses on optimization methodologies, particularly in personnel scheduling, energy systems modeling, and warehouse operations. He holds positions in the Operations department and contributes to the PANOPTIWORK research initiative. His work is supported by grants from the Dutch Research Council (NWO) and the European Union, addressing workforce well-being and aviation sector energy systems. Notable contributions include publications in European Journal of Operational Research , Transportation Science , and Production and Operations Management . Rijal has received prestigious awards: the 2021 Facility Logistics Outstanding Paper Award and the Transportation Science Meritorious Service Award. His research bridges academic insights with practical applications, emphasizing sustainability and policy integration through systemic approaches to SDG acceleration.

Anna Reifferمشاهده پروفایل

مدرس

• Activity-based modelling
• Time-use and activity patterns
• Commercial transport
• +۳ مورد دیگر

Dr. Anna Reiffer is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich, affiliated with the Institute for Transport Planning and Systems (IVT). She holds a PhD in Civil Engineering (Karlsruhe Institute of Technology, 2024), an MSc in Mobility and Infrastructure (KIT, 2017), and a BSc in Civil Engineering (KIT, 2015). Her research focuses on activity-based modeling, commercial transport dynamics, and the interplay between travel behavior and health. Key projects include the FRESH initiative exploring the freight-shopping nexus in urban areas. Professional experience includes a postdoctoral role at ETH Zürich (2024–present) and research roles at KIT (2017–2024), with a visiting position at the University of Leeds (2022). Her work integrates agent-based models to simulate travel demand and parcel delivery systems, addressing challenges like e-commerce logistics and pandemic-driven telework trends. Teaching contributions include the course 'Transport Planning (Transportation I)'. Research interests span urban freight systems, sustainable mobility, and the application of data-driven methods to transportation policy.