جست‌وجوی استاد و پژوهشگر

Yi Gaoمشاهده پروفایل

دانشیار

• Air Transportation Economics & Operations
• Customer Loyalty Programs
• Frequent Flyer Programs
• +۳ مورد دیگر

Dr. Yi Gao is an Associate Professor in the School of Aviation and Transportation Technology at Purdue University. He teaches Aviation Management courses at both undergraduate and graduate levels. Prior to joining Purdue, Dr. Gao served as the Aviation Course Director at Swinburne University of Technology in Australia. He has been actively involved in academic leadership, serving as the Editor for Collegiate Aviation Review International (2021-2023) and currently as the Educator Trustee for the University Aviation Association. Dr. Gao earned his PhD in Technology from Purdue University, specializing in Aviation Management. His educational background has prepared him to bridge theoretical knowledge with practical applications in the aviation industry. Dr. Gao's research focuses on critical aspects of air transportation systems. His work spans several interconnected domains that address both operational and economic challenges in modern aviation: Air Transportation Economics & Operations: Examining airport revenue streams, pricing strategies, and economic impacts of aviation activities Customer Loyalty Programs & Frequent Flyer Programs: Analyzing consumer behavior, program effectiveness, and revenue implications of airline loyalty initiatives Transport Geography: Investigating airport catchment areas, passenger flow patterns, and spatial relationships in aviation networks Aviation Safety: Exploring safety reporting systems, incident detection, and safety culture in aviation organizations Aviation Education: Developing competency-based curriculum and evaluating skill alignment between academic programs and industry needs Dr. Gao's recent publications demonstrate a strong trajectory in applying advanced analytical methods to aviation challenges. His work increasingly incorporates data science techniques including machine learning, spatial analysis, and text mining to extract insights from complex aviation datasets. A notable trend in his research is the examination of non-aeronautical revenue streams for airports, particularly focusing on parking revenues, loyalty programs, and e-commerce impacts. His airport catchment area research has evolved from theoretical modeling to practical applications using mobile location data, resulting in tools that help airports better understand their service areas. Another significant theme is the analysis of consumer behavior in airline loyalty programs, with recent work examining the effectiveness of innovative offerings like flight passes. Dr. Gao has received several prestigious awards recognizing his contributions to aviation education and research: President's Award from the University Aviation Association (2022) Teaching Leadership Award from Purdue University (2022) Bilsland Dissertation Fellowship from Purdue University (2009-2010) Frederick N. Andrews Fellowship from Purdue University (2006-2009) ACRP Graduate Research Award (2022-2023) Dr. Gao has successfully mentored multiple PhD students to completion, including Dr. Sen Wang who now serves as an Assistant Professor at The Ohio State University. His current doctoral students include Zhi Dou, Jiayu Liu, and Tolulope Oluwumi, all working on cutting-edge aviation research topics. His students have received competitive awards including the Steven F. Udvar-Hazy Scholarship Award. Dr. Gao has secured significant research funding through projects with the Transportation Research Board's Airport Cooperative Research Program (ACRP), including projects ACRP 01-55, ACRP 03-72, and ACRP 03-74. He has also contributed to major research reports published by The National Academies of Sciences, Engineering, and Medicine, including "Toolkit for Establishing Airport Catchment Areas" and "State of Airport Loyalty Programs." Dr. Gao leads a dynamic research group focused on empirical aviation studies. His team has developed practical tools including the Travel Utility Analysis tool for visualizing airport catchment areas and sentiment analysis tools for airline customer feedback. The group maintains strong industry connections through partnerships with organizations like ISTAT (International Society of Transport Aircraft Trading) and regular participation in industry conferences. Dr. Gao serves on multiple professional committees including the Transportation Research Board's Standing Committee on Airport Terminals and Ground Access (AV050), and is an active member of the Air Transport Research Society and the Airline Group of the International Federation of Operational Research Societies.

GÖKHAN İZBIRAKمشاهده پروفایل

استاد

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

Professor Gökhan İzbırak serves as Department Head of Industrial Engineering at Eastern Mediterranean University's Faculty of Engineering in Northern Cyprus. His academic leadership spans teaching core courses including Engineering Economy, Project Management, and Production Planning and Scheduling for undergraduate and graduate programs. His educational background includes a PhD in Mathematics (1999), MBA in Business Administration (1993), and BS in Industrial Engineering (1986) from Eastern Mediterranean University and Middle East Technical University respectively. His research focuses on mathematical optimization for complex industrial systems with particular expertise in supply chain sustainability and logistics networks. Professor İzbırak's scholarly work demonstrates consistent specialization in quantitative methods for industrial systems, with recent supervision of doctoral research examining electric vehicle routing, humanitarian logistics, and stochastic facility location problems. His methodology integrates operations research with practical industrial applications across manufacturing and service sectors. As academic advisor, he has successfully guided nine graduate students to completion including four PhD candidates and five Master's students, with one doctoral candidate currently ongoing. His administrative responsibilities include departmental leadership and course coordination for key Industrial Engineering curriculum components. He maintains active research connections with EMU's Electric Vehicle Development Center (EVDC) and participates in academic service through journal reviewing and conference session chairing activities as documented in his professional profile.

• Operations Research
• Mathematical Programming
• Management Science
• +۲ مورد دیگر

Edoardo Fadda is a Fixed-term tenure-track Assistant Professor at the Department of Mathematical Sciences (DISMA), Politecnico di Torino . He serves as a member of the College of Mathematical Engineering and College of Electronic, Telecommunications and Physics Engineering . Specializes in Operations Research and Mathematical Programming Active in stochastic optimization , reinforcement learning , and control applications Teaching roles include Optimization Methods for Control Applications and Stochastic Programming courses His research spans supply chain optimization , logistics , and AI-integrated decision systems , focusing on uncertainty modeling and multi-stage stochastic programming. He leads the Development of Decision Support Systems and the SUPERSONIC project for ecological logistics, alongside commercial consulting for RIDIX SPA through Fondimpresa contracts. Notable collaborations include Paolo Brandimarte and Francesca Maggioni . Edoardo supervises PhD candidates Alessia De Crescenzo (39th cycle) and Lorenzo Mazza (40th cycle). His publications emphasize stochastic customer behavior , perishable product policies , and kernel-based system identification , with applications in aerospace, smart cities, and industrial manufacturing.

• Optimization under uncertainty
• Data-driven optimization techniques
• Business analytics
• +۷ مورد دیگر

Kai Huang is a Professor of Operations Management at the DeGroote School of Business , McMaster University . He specializes in optimization under uncertainty and data-driven optimization techniques with applications in business analytics , supply chain management , and humanitarian logistics . His work addresses challenges in electric/autonomous vehicles , food supply chain safety , and disaster response logistics . Teaches courses: Optimization Under Uncertainty , Supply Chain Management , Simulation for Business Analytics Research interests span stochastic optimization , AI integration , and sustainable supply chains Recent scholarly work includes: 2025: Four articles on reverse supply chains , green coordination , public-private collaborations , and robust inventory systems 2024: Six articles covering EV charging networks , AI-powered chatbots , and healthcare recovery modeling 2023: Eight publications on carbon reduction , VRP disruptions , and hematopoietic supply chains

• Artificial Intelligence
• Occupational Health and Safety
• Machine Learning
• +۵ مورد دیگر

Nuri BİNGÖL is an Assistant Professor at Uskudar University, holding multiple significant administrative roles including Vice Dean of the Health Sciences Faculty, Head of the Artificial Intelligence Engineering Department, and Deputy Head of the Institute of Natural Sciences. With a strong background in both Computer Engineering and Occupational Health and Safety, he bridges technology and workplace safety disciplines. His academic journey spans from Yıldız Technical University (BSc in Computer Engineering, 1994) through Okan University (MSc in Occupational Health and Safety, 2013) to Istanbul Ticaret University (PhD in Occupational Health and Safety, 2019). His educational background reflects a unique interdisciplinary path. He earned his undergraduate degree in Computer Engineering from Yıldız Technical University in 1994, followed by a Master's degree in Occupational Health and Safety from Okan University in 2013, and completed his Doctorate in Occupational Health and Safety at Istanbul Ticaret University in 2019. Before entering academia, he gained extensive industry experience since 1994, working in various computer engineering and management roles, including as a General Manager of a company. Dr. BİNGÖL's research interests span the intersection of artificial intelligence and occupational safety, with specific focus areas including AI applications in workplace safety, machine learning for risk assessment, disaster management systems, and safety engineering in industrial environments. His work demonstrates how computational approaches can enhance traditional occupational health and safety practices, particularly in high-risk industries like mining, energy production, and construction. His recent publications reveal a clear trend toward integrating artificial intelligence technologies with occupational health and safety applications. Many of his 2023-2025 works focus on AI-driven safety systems, predictive analytics for workplace hazards, and technology-enhanced risk assessment methodologies. His research spans multiple sectors including energy production, mining, healthcare logistics, and environmental management, showing his interdisciplinary approach to safety engineering problems. Dr. BİNGÖL has successfully supervised numerous graduate students, with thesis topics covering AI applications in audiometry, beekeeping disease detection, crime pattern analysis, learning disability assessment, and social network security. His academic leadership extends to teaching courses ranging from foundational AI principles to specialized safety engineering topics across undergraduate, master's, and doctoral programs. His administrative leadership includes coordinating multiple university initiatives including Remote Education, Digital Transformation, Erasmus programs, and Bologna processes. He also serves as Head of the ÜSUZEM Research Center and participates in various national standardization committees related to occupational safety. His project portfolio includes significant TÜBİTAK-funded research on safety systems, emergency response applications, and AI-based safety solutions.

Jia Guoمشاهده پروفایل

پژوهشگر

• Operations research
• Optimisation
• Modelling and simulation
• +۱۸ مورد دیگر

Dr. Jia Guo is a Researcher at the Research Centre for Integrated Transport Innovation (rCITI) within the School of Civil and Environmental Engineering at the University of New South Wales (UNSW). She received her Ph.D. in Operations Research and Industrial Engineering from the University of Texas at Austin, USA. Her research spans multiple domains including transportation systems, network design, healthcare operations, and power systems optimization. Her primary research interests include: Operations research and optimization methodologies Mathematical modeling and simulation Machine learning applications in transportation Rail and air transportation systems Stochastic analysis and modeling Dr. Guo's work focuses on developing advanced optimization techniques to solve complex problems in transportation planning and logistics. Her research has produced significant contributions in freight train planning, air traffic controller scheduling, vehicle routing, transportation and logistics design, travel behavior analysis, and staff scheduling. She has extensive expertise in mathematical modeling, decomposition algorithms, metaheuristics, machine learning methods, and statistical analysis. Her publications reflect a strong trajectory in applying operations research to real-world transportation challenges, with a particular emphasis on stochastic and optimization approaches across rail, air, and urban transportation systems. Dr. Guo maintains an active research profile with an ORCID identifier (https://orcid.org/0000-0002-5350-2595) and is engaged with the academic community through Google Scholar.

Ellen Munthe-Kaasمشاهده پروفایل

دانشیار

• Mobile Ad-hoc Networks
• Wireless Networking
• Emergency and Rescue Applications
• +۶ مورد دیگر

Ellen Munthe-Kaas is an Associate Professor in the Department of Informatics at the University of Oslo, where she is affiliated with the Data and Knowledge Management (DKM) research group. Her office is located in Ole-Johan Dahl's house at Gaustadalléen 23B, Oslo, and she can be contacted at ellenmk@ifi.uio.no. Dr. Munthe-Kaas specializes in mobile and wireless networking systems, with particular expertise in Mobile Ad-hoc Networks (MANETs), emergency and rescue applications, and distributed systems. Her research focuses on addressing challenges in sparse and infrastructure-less networks, including resource management, energy efficiency, data sharing, and network synchronization. She has developed middleware solutions specifically designed for emergency response scenarios where reliable communication is critical despite challenging network conditions. Her publication record from 2005-2015 reveals a clear evolution from foundational MANET protocols to more sophisticated systems addressing energy efficiency, quality of service, and context-aware applications. A distinctive theme throughout her work is the practical application of networking research to life-critical emergency response situations. Her research consistently addresses the tension between network performance requirements and resource constraints in mobile environments. Dr. Munthe-Kaas maintains a strong collaborative relationship with colleagues at the University of Oslo, particularly Thomas Peter Plagemann and Vera Hermine Goebel, suggesting she works within a well-established research ecosystem focused on distributed systems challenges. Her work bridges theoretical networking concepts with practical implementations, demonstrating both academic rigor and real-world applicability.

Jan Fabian Ehmkeمشاهده پروفایل

استاد

• Business Analytics
• Logistics
• Transportation
• +۵ مورد دیگر

Jan Fabian Ehmke is a Professor at the University of Vienna , Faculty of Business, Economics and Statistics, and Head of the Department of Business Decisions and Analytics. He actively supervises Master's theses in quantitative fields like business analytics, logistics, production, and transportation, requiring mathematical modeling and data analysis skills. Key Research Areas: Business Analytics, Logistics, Transportation, Supply Chain Management, Data Science, and Stochastic Optimization Current Projects: AI-based Energy-Efficient Train Planning, Proactive Route Planning for Pandemic Testing, Reliable Railway Scheduling Recent Publications focus on pandemic logistics, mobile parcel lockers, railway operations, and collaborative transportation systems. His work contributes to SDGs like Sustainable Cities and Responsible Consumption. 2025: 7 publications including pandemic waste supply chain optimization, equitable disease testing models 2024: 4 key papers on dynamic learning for itineraries, bike-sharing systems Awards: Transportation Science Meritorious Service Awards (2021, 2023), EJOR Best Review Paper (2021). He serves as President and Communications Chair in INFORMS Transportation Science Society.

Wen-Chen Huمشاهده پروفایل

دانشیار

• Handheld/Mobile/Smartphone/Spatial Computing
• Location-Based Services
• Web-Enabled Information Systems
• +۶ مورد دیگر

Wen-Chen Hu is an Associate Professor in the Department of Computer Science at the University of North Dakota's School of Electrical Engineering and Computer Science. He has held academic positions at Auburn University (Assistant Professor, 1998–2002) and the University of North Dakota (Assistant/Associate Professor since 2002). His teaching spans courses like .NET/Web Programming, Computer Architecture, Electronic Commerce Systems, and Advanced Database Systems, with over 100 graduate students advised. Education PhD in Computer and Information Science and Engineering, University of Florida (1998) MS in Computer Science, University of Iowa (1993) ME in Information Science and Electronic Engineering, National Central University, Taiwan (1986) BE in Computer Science, Tamkang University, Taiwan (1984) Research Interests : Dr. Hu's work focuses on handheld/mobile/smartphone/spatial computing, location-based services (LBS), web-enabled information systems (e.g., search engines, web mining), database-driven systems (electronic/mobile commerce), and web technologies. His publications emphasize privacy-preserving LBS, spatial trajectory prediction, mobile security, and big data applications. Publication Trends : His recent work (2020–2023) explores pandemic response via mobile analytics, privacy in LBS, and smartphone computing. Earlier (2014–2017), he addressed geometric LBS algorithms, cognitive radio networks, and super-resolution image processing. Foundational work (1998–2005) includes XML search engines, handheld programming languages, and mobile commerce security. Scientific Awards : Best Paper Award, MICS 2015 Best Paper Award, ACM Southeast Conference 2003 Best Reviewer Awards Community Service Awards Advising & Academic Leadership : Dr. Hu has advised over 100 graduate students and served as General Chair for ICETA 2018 and Associate Editor for the Journal of Information Technology Research . He has organized editorial/review roles for over 100 journals and conferences.

• Computer Science
• Sustainability Science
• Machine Learning
• +۲ مورد دیگر

Laura Ruotsalainen is a Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science, University of Helsinki . She leads the Spatiotemporal Data Analysis group and is affiliated with the Helsinki Institute of Sustainability Science (HELSUS) and Helsinki Institute of Urban and Regional Studies (Urbaria) . Her research focuses on machine learning, computer vision, and sensor fusion for sustainable smart cities, particularly in urban mobility and GNSS security. Professor in Spatiotemporal Data Analysis for Sustainability Science Research Group: SDA (Spatiotemporal Data Analysis) Key Collaborations: Finnish Center for AI (FCAI), Konecranes Oyj, MATINE Her recent publications span spatiotemporal analysis, GNSS jammer localization, urban traffic simulation, and deep learning applications in navigation. Projects include AI-based optimization tools for sustainable urban planning (Research Council of Finland) and 5G-assisted Galileo-GPS receivers with inertial and visual enhancements.

Grit Waltherمشاهده پروفایل

استاد

• Production Management
• Logistics
• Supply Chain Management
• +۷ مورد دیگر

Grit Walther is a University Professor of Operations Management at the Faculty of Business and Economics, RWTH Aachen University since September 2012. She leads the Chair of Operations Management, focusing on application-oriented research in logistics and production systems. Her work bridges business administration with engineering disciplines to address sustainability challenges in value networks. Professor Walther's educational background includes a natural sciences degree in Geoecology followed by a doctorate in 2004 from the Chair of Production and Logistics at TU Braunschweig. Her academic career progressed from heading the 'Sustainable Value Networks' working group at TU Braunschweig (2004-2009), to completing her habilitation in 2009, and holding a professorship at the University of Wuppertal (2010-2012) before joining RWTH Aachen. Her research spans production, logistics, and supply chain management with a strong emphasis on sustainability. Professor Walther investigates sustainable supply chains, reverse logistics, sustainable mobility systems, and the transformation toward zero-emission industries. Her work integrates robust and multi-criteria optimization approaches to address uncertainties in regulatory, economic, and technological conditions across various sectors including non-ferrous metal industries, automotive, and energy markets. Professor Walther's publication record demonstrates consistent contributions to leading journals in operations research and management science. Her recent work shows increasing focus on sustainability challenges, particularly in recycling networks, green logistics, and sustainable mobility. She frequently collaborates with researchers across disciplines, addressing complex problems at the intersection of business, engineering, and environmental science. She actively engages with industry through research projects implemented in interdisciplinary cooperation with engineering and scientific research institutes, industrial companies, and political decision-makers. Her work on sustainable value networks has practical implications for companies seeking to optimize their operations while meeting environmental objectives.

Douglas Alemمشاهده پروفایل

مدرس ارشد

• Humanitarian Logistics
• Operations Research
• Stochastic Programming
• +۶ مورد دیگر

Douglas Alem is a Senior Lecturer in Business Analytics and Programme Director of the MSc Data & Decision Analytics (online) at the University of Edinburgh Business School. His research bridges Management Science and Humanitarian Logistics, focusing on optimization under uncertainty. Production Engineering (BSc), Federal University of São Carlos, Brazil (2004) Computer Science & Computational Mathematics (MSc), University of São Paulo, Brazil (2007) Computer Science & Computational Mathematics (PhD), University of São Paulo, Brazil (2011) His research addresses practical operations planning in humanitarian contexts: distributing emergency commodities, location-allocation under social concerns, and supply chain design across disaster cycles. Key methodologies include stochastic programming and robust optimization. Recent publications analyze lot-sizing in beverage production, malaria prevention campaigns, and road restoration logistics. His work emphasizes practical disaster management applications and equity considerations. Best European Journal of Operational Research paper (innovative application), 2018 Best Paper Awards - European Journal of Operational Research, 2023 As a Principal Investigator, he leads projects like FAVuPe (Food Analytics for Vulnerable Populations) and socioeconomic-based disaster response frameworks. He also advises PhD students in data analytics for humanitarian operations and contributes to consultancy on waste management and risk mitigation.

• Cadastral value
• Circular economy
• Cost accounting
• +۱۱ مورد دیگر

Alice Barreca (Politecnico di Torino, Department of Architecture and Design) is a fixed-term assistant professor and researcher specializing in real estate appraisal and project evaluation within civil engineering and architecture (Area 0008). Her work bridges economic sustainability , cultural heritage , and fragile territories , with a focus on urban vulnerability, circular economy, and energy retrofit. Scientific expertise: CEAR-03/C - Appraisal and Evaluation ERC sectors: Behavioral economics, Development economics, Econometrics, Environmental economics SDG contributions: #3, #4, #5, #10, #11 Research Themes : Barreca investigates the intersection of economic feasibility and territorial resilience , particularly in rural and heritage contexts. Her work combines data-driven methodologies ( GIS , machine learning ) with collaborative planning to address challenges in real estate markets and energy policy . Key projects include SYSTOUR (2023-2027) for sustainable tourism and Challenge@PoliTo (2022-2023) focused on renewable energy communities . Recent Publications highlight her contributions to understanding daylight valuation in housing markets, territorial potential mapping through collaborative approaches, and fiscal inequality in urban contexts. She has developed cross-cutting analyses for rural development and cultural heritage enhancement strategies in locations like Ivrea and Alta Valsesia. Teaching : Barreca serves as course lecturer for modules including Heritage Renovation and Economics for Sustainable Architecture , mentoring through problem-based learning frameworks across 2019-2025 academic years. Scientific Networks : Co-author with Rolando, Malavasi, Rebaudengo, and Coscia Contributions to journals like Journal of Building Engineering and conferences including ICCSA 2024 Member of Project Teaching Center (DAD) and Branding4Resilience collaborations

Andreas Schnepfمشاهده پروفایل

استاد

• Inorganic Chemistry
• Metalloid Clusters
• Nanotechnology
• +۵ مورد دیگر

Prof. Dr. Andreas Schnepf is a W3-Professor of Inorganic Chemistry at the University of Tübingen, where he leads the AG Schnepf research group within the Department of Chemistry in the Faculty of Science. His office is located at Auf der Morgenstelle 18, Room 9 A 04, in Tübingen, Germany. His research focuses on the synthesis and characterization of metalloid cluster compounds, particularly those of Germanium, Tin, and Gold. His group explores: Synthesis chemistry of metalloid cluster compounds of Germanium and Tin Template-guided syntheses of nanostructured Germanium and Tin Development of synthesis reagents based on Si(II) and Si(I) halogenides Reactivity of metalloid clusters for building new materials Synthesis of metalloid, nano-scaled Gold, Silver, and Copper cluster compounds Prof. Schnepf's research provides fundamental insights into the borderland between molecules and solid-state metals at the nanoscale. His work on metalloid clusters reveals novel bonding situations and structures that bridge molecular compounds and bulk metals. The group's preparative co-condensation technique enables access to metastable precursors essential for cluster synthesis. His recent publications (2025) demonstrate expertise across multiple subfields of inorganic chemistry, with a strong focus on cluster chemistry and nanomaterials. These works reveal trends in synthesizing geometrically complex metal clusters and understanding their bonding and reactivity patterns, particularly for gold and germanium systems. Notable scientific contributions include: Development of the preparative co-condensation technique for synthesizing metastable solutions Synthesis of novel metalloid clusters of group 14 elements Establishment of synthetic routes to multishell metalloid gold clusters Investigations into the reactivity of metalloid clusters for building new materials Prof. Schnepf has supervised numerous PhD students to completion, including Lars Preißing (2022), Florian Fetzer (2021), Tanja Kunz (2021), and Sebastian Kenzler (2020). His research group currently includes Dr. Claudio Schrenk, Roman Kimmich, Markus Strienz, Sabrina Jeltsch, and several other researchers working on various aspects of metalloid cluster chemistry. The AG Schnepf research group operates specialized equipment including co-condensation plants (in hanging and standing variants), Schlenk lines, gloveboxes for handling solids and solvents, UV-VIS spectrometers, and Zetasizer/DLS instruments essential for handling air-sensitive compounds and characterizing nanoscale materials.

Arun Kumar Routمشاهده پروفایل

استادیار

• Two-sided Platforms
• Online Business Models
• Mechanism Design
• +۱ مورد دیگر

Dr. Arun Kumar Rout is an Assistant Professor in Operations Management and Strategy at the University at Buffalo's School of Management. His research explores two-sided platforms, online business innovations, and mechanism design, with a focus on operational efficiency. He teaches courses in business economics and operations management. Education includes a PhD from UT Dallas, PGPM from Indian School of Business, and BTech from IIT Kharagpur. Professional affiliations include INFORMS and POMS. His 2023 publication analyzes value creation in cloud-kitchen co-location models, offering insights for service operations and platform-based businesses.