جست‌وجوی استاد و پژوهشگر

• Financial Economics
• Production Economics
• Banking Efficiency
• +۷ مورد دیگر

Dr. Yong Tan is an Associate Professor in Economics and Finance at the University of Bradford's School of Management, part of the Faculty of Management, Law & Social Sciences. He holds a PhD in Economics from the University of Portsmouth, alongside postgraduate qualifications in Higher Education and professional fellowships (FHEA). His research focuses on financial economics, production economics, and banking efficiency, with publications in high-impact journals such as the Journal of International Financial Markets, Institutions and Money and European Journal of Operational Research. Yong’s work emphasizes multi-criteria decision-making (MCDM), supply chain resilience, and sustainability. Notable achievements include a top 2% global ranking by Stanford University and top 0.5% recognition by ScholarsGPS. He teaches courses in Microeconomics, International Economics, and Financial Markets. His research has addressed topics like green credit impacts on bank efficiency, blockchain in supply chain management, and pandemic-era healthcare system performance. Awards include featured status for his paper on Chinese banking profitability in the Journal of International Financial Markets.

Olena Rudnaمشاهده پروفایل

مدرس

• Management
• Operations Management
• Supply Chain Analytics
• +۳ مورد دیگر

Olena Rudna is a University Lecturer at the MT School of Management, New Jersey Institute of Technology (NJIT). She holds a Ph.D. in Management from Rutgers University-Newark (2021), an MBA from Fairleigh Dickinson University (2013), and additional MBAs from Rutgers University (2009) and a B.S. in Library Science from the State Academy of Culture (2002). Her research focuses on supply chain analytics, fashion industry trends, social media impact analysis, and quantitative methods in business decision-making. Teaching includes courses such as Business Operations Management & Analytics (OM 375) and Quantitative Analysis Applications for Business (MGMT 116). She has developed educational tools like the FloraPark simulation game to teach supply chain collaboration and evaluated Tableau’s effectiveness in analytics education. Her work bridges academic theory and practical industry challenges, particularly in leveraging social media data for trend forecasting. Rudna’s contributions include exploring social media’s role in fashion trend prediction and designing interactive learning environments for supply chain education. She actively contributes to NJIT’s academic community through course development and research in operational management.

Henry Agyei-Boapeahمشاهده پروفایل

استاد

• Accounting
• Corporate Governance
• Finance
• +۳ مورد دیگر

Professor Henry Agyei-Boapeah is a Professor of Accounting at the Essex Business School (University of Essex). He holds a PhD in Accounting and Finance from Loughborough University and has held academic positions across multiple UK and Ghanaian universities, including part-time roles at Loughborough University, University of Ghana, and Ashesi University. His career also includes experience as a Credit Risk Analyst at Zenith Bank (Ghana). His research focuses on accountability, governance, and finance, with notable contributions in areas like executive compensation, corporate governance, environmental accounting, and mergers & acquisitions. His work has been published in top journals such as Abacus , European Accounting Review , and International Review of Financial Analysis . He has also authored a corporate finance textbook and presented globally, winning awards for his research. Teaching interests span Accounting and Finance modules at both undergraduate and postgraduate levels. He has held leadership roles including Deputy Director of the MBA program at the University of Nottingham and Programme Leader for the MSc Management with Business Finance at the University of York. Academic service includes roles as a reviewer for journals like Accounting Forum and British Journal of Management , and External Examiner for Coventry University’s Accounting programs. He is a Fellow of the Higher Education Academy (UK) and a qualified Chartered Accountant (Ghana).

Ursula Eickerمشاهده پروفایل

استاد

• Urban energy systems
• 3D City modeling
• Urban data and simulation platform development
• +۷ مورد دیگر

Prof. Ursula Eicker is the Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities at Concordia University , leading cutting-edge research in urban energy systems. Her work integrates 3D city modeling, renewable energy systems, and sustainable transport to develop zero-carbon city strategies. PhD in Solid State Physics (Heriot-Watt University) Habilitation in Renewable Energy Systems (Technische Universitat Berlin) Research Interests focus on urban simulation platforms, district energy networks, and climate-resilient infrastructure. The INSEL4Cities platform enables holistic urban modeling for building demands, transportation, and greenery. Her Residential Densification studies demonstrate 65% energy reduction through retrofits and solar integration. Recent publications explore urban solar shading , transactive energy systems , green infrastructure equity , and decentralized hydrogen production . Awards include the German-African Innovation Incentive and recognition for photovoltaic research in Egypt. Over 50 graduate students in her lab examine zero-carbon pathways. Teaches ENCS 691 on urban energy systems. Secured 10M CAD for the CERC chair and multiple grants. Co-Director of Concordia's Next Generation Cities Institute .

Ki-Young Jeongمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Design & Optimization
• Humanitarian Logistics
• +۳ مورد دیگر

Dr. Ki-Young Jeong is a Professor of Engineering Management in the College of Science and Engineering at the University of Houston-Clear Lake. He holds a Ph.D. in Industrial Engineering from Texas A&M University and an MBA from the University of Massachusetts. With over 10 years of industrial experience as a project lead, systems engineer, and consultant, he transitioned to academia to focus on research and teaching. Education: M.S. in Industrial Engineering, Texas A&M University Ph.D. in Industrial Engineering, Texas A&M University MBA, University of Massachusetts His research focuses on supply chain design & optimization , humanitarian logistics network design , discrete event simulation , and data envelopment analysis . He has published over 60 peer-reviewed articles, emphasizing applications in disaster relief logistics, emergency supply chains, and operational efficiency. His work combines advanced analytics with real-world challenges in manufacturing, project management, and crisis response. Awards: UHCL Distinguished Professorship in Computer Science and Engineering (2021-2022) Minnie Stevens Piper Teaching Award nominee (2010-2011) Dr. Jeong’s research has explored trade-offs in emergency logistics networks, integrating multi-objective programming and data envelopment analysis to improve decision-making. His recent work addresses disaster recovery center location-allocation, supply chain resilience, and financial ratio analysis in the oil and gas industry. He also investigates simulation-based training for project management and lean Six Sigma implementation. His research has been supported by institutions like NASA, focusing on practical solutions for complex systems. He advises students on topics combining technical skills with humanitarian and industrial applications.

Tobias Glasmachersمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Optimization Algorithms
• +۶ مورد دیگر

Prof. Dr. Tobias Glasmachers is a Full Professor at the Institut für Neuroinformatik , Ruhr-Universität Bochum, Germany, specializing in the Theory of Machine Learning . He leads the Optimization of Adaptive Systems group and holds appointments in both Computer Science and Interdisciplinary AI research. Key Research Areas : Optimization algorithms, evolutionary computation, reinforcement learning, supervised learning, and neural networks Technical Focus : Gradient-based methods, support vector machines, and adaptive coordinate descent Applications : Robotics, waste sorting facilities, 3D game environments (e.g., Doom/Minecraft), and human-centered AI design Notable Contributions : Development of LM-MA-ES evolution strategy, Hessian Estimation Evolution Strategy, and tachAId tool for ethical AI design. His work bridges theoretical analysis with practical implementations across diverse domains. Teaching : Offers courses in Informatik 1 - Programmieren, Machine Learning: Supervised Methods, and Evolutionary Algorithms. Supervises numerous Bachelor's and Master's theses on AI/ML applications.

Jonathan Köhlerمشاهده پروفایل

پژوهشگر

• Transport Policy
• Climate Policy
• Socio-technological Transitions
• +۳ مورد دیگر

Jonathan Köhler is a Senior Research Associate at the University of Cambridge, specializing in macroeconomic modeling of climate and energy policy within the OMEGA research consortium. He holds dual professional expertise as a Naval Architect (CEng, Royal Institute of Naval Architects) and a former Project Manager at Rosyth dockyard (Vickers Shipbuilding and Engineering Limited), focusing on large surface warship design. His academic career intertwines technical maritime expertise with socio-economic research on transport and climate policy. Affiliations: University of Cambridge (Economics), OMEGA consortium, Fraunhofer ISI (as per publications) Research Themes: Sustainability transitions, socio-technical systems, maritime decarbonization, transport policy modeling His work emphasizes agent-based modeling frameworks like MATISSE-SHIP and ASTRA, analyzing pathways for zero-emission shipping, hydrogen propulsion, and systemic transitions in freight logistics. He has contributed to defining research agendas for sustainability transitions, including inter-system interactions and local governance strategies. Key publications address shipping decarbonization scenarios, food systems resilience, and the methodological challenges of integrating qualitative and quantitative transition analysis. His work bridges technical innovation with policy design, particularly in maritime and urban mobility sectors.

Hayder Zghairمشاهده پروفایل

استادیار

• Flexible-Automated Manufacturing
• Robotics
• Human Factors and Ergonomics
• +۷ مورد دیگر

Dr. Hayder Zghair is an Assistant Professor of Industrial Engineering in the Department of Engineering and Physics at Southern Arkansas University (SAU), and Director of Industrial Engineering Development in the College of Science and Engineering. He previously held roles as Assistant Teaching Professor at Pennsylvania State University and Lecturer at Kettering University. Dr. Zghair earned BS and MS degrees in Industrial and Production Engineering from the University of Technology, followed by a second MS and PhD in Manufacturing Systems Engineering from Lawrence Technological University. Education: B.S./M.S. (Industrial & Production Engineering, University of Technology) → M.S./PhD (Manufacturing Systems Engineering, Lawrence Tech) His research focuses on Flexible-Automated Manufacturing , Robotics , Sustainability Engineering , and Industry 4.0/5.0 technologies (AI, IoT, cloud computing). He actively publishes in engineering education and manufacturing systems, including works featured in ASEE and IEOM conferences. Dr. Zghair chairs university committees and serves as Affiliate Researcher at Penn State’s Institute of Energy and the Environment. He advises SAU’s SAE Baja and IEOM student chapters. Teaching includes courses on Manufacturing Processes, Engineering Economics, and Advanced Manufacturing Systems, alongside lab instruction in robotics and materials.

Oh Joon-Yeoulمشاهده پروفایل

دانشیار

• Network Optimization
• Wireless Telecommunication Network Expansion and Optimization
• Non-Linear Programming
• +۶ مورد دیگر

Oh Joon-Yeoul serves as Associate Professor in the Department of Mechanical and Industrial Engineering at Texas A&M University-Kingsville's College of Engineering, specializing in optimization methodologies for telecommunications and public infrastructure systems. His academic credentials include: Ph.D. in Industrial Engineering (Operations Research), New Mexico State University (2003) M.S. in Industrial Engineering (Engineering Management), New Mexico State University (2000) M.S. in Industrial Engineering (Operations Research), Chong-Ju University (1998) B.S. in Industrial Engineering, Chong-Ju University (1995) Dr. Oh's research integrates mathematical programming and algorithmic development to solve complex industrial problems, with core expertise in Network Optimization , Wireless Telecommunication Systems , and Queueing Theory . His work bridges theoretical operations research with practical applications in municipal services, robotics, and emergency management, emphasizing non-linear and heuristic integer programming approaches for large-scale systems. Analysis of his 15 publications (2015-2020) reveals consistent focus on vehicle routing optimization (including multi-vehicle scenarios), facility location for public safety infrastructure, and multi-criteria decision frameworks . His research demonstrates strong methodological continuity in applying combinatorial optimization to real-world challenges like garbage collection routing, fire station allocation, and telecommunication network expansion, primarily through conference presentations at INFORMS and industrial engineering forums. Dr. Oh actively mentors graduate researchers as evidenced by student co-authorship on projects involving blockchain applications, humanoid robotics, and municipal service optimization. While specific grant details aren't documented, his collaborative work with colleagues like Amir Hessami indicates engagement in funded research initiatives addressing regional infrastructure challenges in South Texas. His research team focuses on practical implementation of optimization models for Kingsville municipal operations, particularly in waste management and emergency response systems, though dedicated laboratory facilities aren't specified in available materials.

Sahand Ashtabمشاهده پروفایل

دانشیار

• Supply Chain Management
• Data-Driven Decision Making
• Sustainability
• +۴ مورد دیگر

Sahand Ashtab is an Associate Professor of Supply Chain Management at Cape Breton University, Canada, within the Department of Financial and Information Management. His research integrates simulation, optimization, and data-driven decision-making to enhance supply chain sustainability and resilience. Education: Doctorate in Industrial and Manufacturing Systems Engineering from the University of Windsor. Research Focus: Circular economy, closed-loop supply chains, and sustainability in both industrial and rural contexts. Recent Research Trends: His work emphasizes leveraging artificial intelligence and machine learning for supply chain optimization, with case studies spanning healthcare, food systems, and plastic waste management in Nova Scotia and China. Key themes include environmental sustainability, cross-industry logistics, and scenario-based modeling. Scientific Awards: CORS (Canadian Operational Research Society) Practice Prize

Rajbir Bhattiمشاهده پروفایل

دانشیار

• Supply Chain Management
• Carbon Footprint Modeling
• Warehousing Safety
• +۵ مورد دیگر

Rajbir Bhatti is an Associate Professor of Supply Chain Management at Mount Royal University's Bissett School of Business. He holds a PhD in Supply Chain Management and advanced degrees in Industrial Engineering (M.Tech and B.Tech). He actively serves on the Board of Directors of the Canadian Supply Chain Sector Council (CSCSC), advising on human resource strategies for Canada's supply chain sector. His research focuses on sustainable supply chains, carbon footprint reduction, and operational efficiency through Total Productive Maintenance (TPM) in SMEs, as well as performance evaluation using Network Data Envelopment Analysis (NDEA). Education: PhD: Supply Chain Management M.Tech: Industrial Engineering B.Tech: Industrial Engineering His research interests emphasize: Carbon footprint modeling and logistics sustainability Warehouse safety linked to organizational design TPM implementation in manufacturing sectors 3PL/4PL selection models using fuzzy logic and AHP Data-driven supply chain risk mitigation strategies His recent publications highlight advancements in post-pandemic supply chain resilience, machine learning for economic revival, and TPM frameworks for SMEs. He has authored a book and serves as Editor-in-Chief (Emeritus) of the International Journal of Applied Industrial Engineering. Awards: Outstanding Reviewer Award (2012), Journal of Modeling in Management Teaching expertise spans operations management, quality systems, global supply chains, and business statistics. He has advised one PhD and three Master's students, and contributed to curriculum development for industrial engineering programs. His professional service includes roles on the Mount Royal University General Faculties Council and transportation strategy panels for Calgary.

• Transport Planning
• Traffic Modelling
• Urban Mobility
• +۴ مورد دیگر

Professor Michiel Bliemer is a Professor of Transport Planning and Modelling at the University of Sydney Business School within the Institute of Transport and Logistics Studies. He joined in 2012 as Chair in Transport Network Modelling, previously holding an Associate Professor position at Delft University of Technology and working as a consultant at Goudappel Coffeng in the Netherlands. His research focuses on transport planning, traffic modelling, road pricing, and urban mobility systems. Education: MSc from the University of Groningen (RUG) PhD from Delft University of Technology His work explores road user charging schemes , macroscopic traffic flow models , and stated choice experiments . Key contributions include the Handbook on Transport and Urban Planning in the Developed World (2016) and influential research on network design, traffic management, and mobility consumption theories. He has secured grants such as the 2022 'Fair Road Pricing Scheme' project and the 2020 Australian Transport Research Cloud initiative. Media & Outreach: Professor Bliemer frequently advises on transport infrastructure issues, including cycling infrastructure, public transport investments, and Sydney's high-density urban planning challenges. His expert commentary has appeared in SBS News, ABC News, and radio interviews addressing traffic congestion and Rozelle Interchange design flaws. Grants & Collaboration: 2022: Fair road pricing scheme research 2020: Australian Transport Research Cloud International collaborations in transport policy and simulation studies His research integrates cutting-edge methodologies like discrete choice experiments , agent-based modelling , and macroscopic fundamental diagrams , addressing both theoretical and applied challenges in modern transport systems.

Oscar L. Olvera Astiviaمشاهده پروفایل

استادیار

• Psychometrics
• Educational Measurement
• Quantitative Methodology
• +۴ مورد دیگر

Oscar L. Olvera Astivia is an Assistant Professor in the Department of Measurement and Statistics at the University of Washington's College of Education . He also holds an affiliation with the Center for Statistics and the Social Sciences . His research focuses on advancing quantitative methodologies in psychometrics and educational measurement through theoretical and mathematical approaches. Research Interests: Monte Carlo simulations and their methodological implications in social sciences. Statistical heuristics and their underlying assumptions. Non-Gaussian data analysis and distribution theory. Meta-science and research methodology critique. Education: Ph.D. in Measurement, Evaluation & Research Methodology, University of British Columbia (2017) M.A. in Measurement, Evaluation & Research Methodology, University of British Columbia (2013) B.A. in Mathematics, University of the Fraser Valley Publications: Over 20 peer-reviewed articles, including work on multivariate outliers, simulation algorithms, and psychometric evaluation. Recent trends emphasize methodological rigor and reproducibility in quantitative research. Awards: None explicitly listed. Grants/Advising: Focus on statistical software development (e.g., a shiny app for power analysis) and mentorship in quantitative methods. Active in promoting open science practices. Labs/Teams: Collaborates with interdisciplinary groups on statistical methodology and applications in education and healthcare.

Johan Marklundمشاهده پروفایل

استاد

• Inventory Theory
• Supply Chain Management
• Logistics
• +۳ مورد دیگر

Johan Marklund is a Professor of Production Management at Lund University, Sweden, and Deputy head of the Department of Industrial and Mechanical Sciences within the Faculty of Engineering (LTH). He holds MSc and PhD degrees from Linköping and Lund Universities respectively. His research focuses on inventory theory, supply chain management, and stochastic multi-echelon systems, contributing to UN Sustainable Development Goals through sustainable logistics solutions. Previously, he worked at the Leeds School of Business (University of Colorado, Boulder) and the Boston Consulting Group. His expertise spans operations research, with notable projects in AI-driven distribution systems and sustainable inventory control. He has supervised 7 students, including F. Malmberg and L. S. Ederfors Johansson. Key grants include an AI-driven distribution project funded by Vinnova (2024–2027). Research highlights include optimizing multi-channel inventory systems and green inventory strategies. His work often addresses real-world challenges in logistics efficiency and sustainability, with publications in top journals like Omega and European Journal of Operational Research. Awards: None explicitly listed Labs/Teams: Involved with LTH Profile Area: Food and Bio, and collaborates on inventory system modeling projects.

Perry P. J. Yangمشاهده پروفایل

استاد

• Urban Design
• Urban Systems Design
• Urban Ecological Design
• +۵ مورد دیگر

Perry P. J. Yang is a Professor and Director of the Eco Urban Lab at Georgia Institute of Technology, affiliated with the School of City and Regional Planning and the School of Architecture. His research focuses on integrating data analytics and systems science into urban design for ecological and energy resilience. He holds visiting roles at the University of Tokyo (2022–2023) and Cambridge University (2023), and previously served as the Bayer Chair Professor at Tongji University (2014–2018). Education includes a Ph.D. in Building and Planning from National Taiwan University, M.S. in Urban Studies from MIT, and B.Sc. in Agriculture Engineering from National Taiwan University. His work spans smart city projects in Tokyo (e.g., Urawa Misono for 2020 Olympics), Hangzhou Asian Games Village design, and Musi River Revitalization in Hyderabad. Research interests emphasize urban systems design, digital twins, renewable energy integration, and sustainable urbanism. Key projects include the Carbon-Neutrality Architecting framework and CANVAS initiative for Tokyo. He has pioneered algal cultivation systems for closed-loop communities and developed GIS-based energy modeling tools. Awards include top prizes in international urban design competitions like the 2009 World Games Park in Kaohsiung (CNN-featured eco venue). Publications exceed 50 articles and a co-edited 2020 Elsevier book on Urban Systems Design. He serves on scientific committees for ICAE and UPE, and leads the Brook Byers Institute for Sustainable Systems at Georgia Tech.