جستجوی استاد راهنمای دانشگاهی

• Behavioral Operations Management
• Empirical Operations Management
• Judgmental Forecasting
• +۴ مورد دیگر

Yun Shin Lee is an Associate Professor with Tenure at KAIST College of Business, Korea Advanced Institute of Science and Technology, where she has served since 2020 after progressing from Assistant Professor (2012-2020). Her academic journey includes a Ph.D. and M.Phil. in Management Science from Cambridge University's Judge Business School and dual engineering degrees from Imperial College London. Her research centers on Behavioral and Empirical Operations Management, investigating judgmental forecasting, decision-making biases in inventory systems, and supply chain behavioral dynamics. Current projects explore AI-forecasting interfaces, wearable-based health prediction, and pandemic-related operational disruptions, employing experimental and empirical methodologies to bridge theoretical insights with practical applications. Professor Lee's publication portfolio demonstrates consistent high-impact contributions to top journals including Management Science and Journal of Operations Management, with recent work (2023-2025) addressing timely issues like Shanghai lockdown recovery and COVID-19 forecasting. Her research shows increasing integration of machine learning with behavioral operations and growing international collaboration scope. Her accolades include: KAIST Excellence in Education Awards (2024, 2019) KAIST Q-Day Special Faculty Award for Internationalization (2024) Yumin Isangmoon Young Production Management Scholar Award (2019) KAIST Founding Anniversary Academic Award (2019) Economic and Social Research Council Fellowship during doctoral studies She actively mentors graduate students through KAIST's MBA and doctoral programs, currently supervising four students while maintaining strong industry-academia connections. Her teaching portfolio spans Operations Strategy, Business Analytics, and specialized Behavioral Operations courses, consistently recognized for pedagogical excellence. Professor Lee leads collaborative research initiatives examining human-AI interaction in forecasting, supply chain resilience during disruptions, and digital health applications, maintaining an interdisciplinary approach that connects operations theory with behavioral science and data analytics.

• Health Systems Optimization
• Medical Decision Making
• Cancer Care
• +۶ مورد دیگر

Dr. Maryam Eghbalizarch serves as Assistant Professor in the Department of Industrial and Systems Engineering at Kennesaw State University's Southern Polytechnic College of Engineering and Engineering Technology. Her institutional affiliations include: Current: Assistant Professor, Kennesaw State University Previous: Data Scientist, The University of Texas MD Anderson Cancer Center Previous: Postdoctoral Fellow, Wayne State University (2022-2024) Previous: Assistant Professor, Alzahra University (2021-2022) Visiting Researcher, University of Pittsburgh (2016-2017) Member, Cancer Intervention and Surveillance Modeling Network (CISNET) Member, Society for Medical Decision Making (SMDM) Member, INFORMS and IISE Her educational background features a Ph.D. in Industrial Engineering from the University of Tehran (2018), with M.Sc. and B.Sc. degrees from K.N. Toosi University of Technology. As director of the Health Systems Optimization Lab, she leads research at the intersection of advanced modeling techniques and healthcare applications. Dr. Eghbalizarch's work integrates Markov decision processes , multi-objective optimization , and machine learning to solve critical problems in cancer care (ovarian/lung cancer modeling) and diabetes management . Her methodology-driven approach focuses on sequential decision-making under uncertainty to improve healthcare delivery and patient outcomes through cost-effective interventions. Her recent publications (2024-2025) demonstrate strong momentum in oncology modeling and healthcare optimization, with multiple papers in high-impact journals including American Journal of Obstetrics and Gynecology and Lung Cancer. These works reveal consistent themes in histology-specific cancer modeling, natural history validation, and diabetes treatment optimization using advanced analytics. Key recognitions include: Institute for Data Science in Oncology Fellowship at MDACC Consecutive Postdoctoral Trainee Research Awards (Wayne State, 2023-2024) National Elites Foundation Award (Iran) International Affairs Department Research Grant Dr. Eghbalizarch maintains active grant funding through CISNET and currently recruits fully funded graduate students for Fall 2026. Her mentorship approach emphasizes hands-on research experience in healthcare analytics, with students contributing to high-impact projects in cancer screening optimization and diabetes management systems. The HSOpt Lab provides a collaborative environment focused on translating engineering methodologies into practical healthcare solutions, with strong connections to cancer research networks and clinical partners. Current projects emphasize data-driven decision support systems for medical practitioners and health policy makers.

Eren Çilمشاهده پروفایل

استاد

• Service Operations Management
• Queuing Theory
• Design and Contract Theory
• +۵ مورد دیگر

Eren Çil is a Professor of Operations and Business Analytics and the Robert J. and Leona M. DeArmond Research Scholar at the Lundquist College of Business, University of Oregon. He serves as Academic Director for the Oregon MBA Program and is affiliated with Undergraduate Programs. PhD in Operations Management, Northwestern University (2010) MS in Industrial Engineering, Koc University, Turkey (2006) His research focuses on service operations management, queuing theory, design and contract theory, and strategic pricing under competition. Recent work examines healthcare capacity allocation, product trial structuring, and closed-loop supply chain incentives. Publications appear in Management Science , Production and Operations Management , and Operations Research . Key trends across his 15 most recent articles include applications of queueing theory to healthcare and urban mobility systems, optimization of closed-loop supply chains for sustainability, and game-theoretic models for strategic pricing in competitive markets. Robert J. and Leona M. DeArmond Research Scholar Recognition for Top Research (2018) Çil advises graduate students in operations management and collaborates with research teams at the Lundquist College. His grant activities focus on sustainability incentives and service system optimization, with industry applications in healthcare, retail, and aerospace.

Ryan W. Buellمشاهده پروفایل

استاد

• Service Operations
• Customer Behavior
• Operational Transparency
• +۴ مورد دیگر

Ryan W. Buell is the C. D. Spangler Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, where he teaches Managing Service Operations in the MBA curriculum and chairs the Transforming Customer Experiences Executive Education program. His educational background includes: DBA in Technology and Operations Management from Harvard Business School (Dean's Award, Wyss Doctoral Research Award) MBA with high distinction from Harvard Business School (George F. Baker Scholar) BBA with high distinction from the University of Michigan's Ross School of Business (Phi Beta Kappa) Professor Buell's research investigates service business-customer interactions through three interconnected lenses: operational transparency (designing visibility into service processes), customer compatibility (aligning customer expectations with service capabilities), and transforming customer engagement (optimizing human-technology service interfaces). His work demonstrates how transparency enhances perceived value, reduces anxiety, and improves operational outcomes across healthcare, government, and commercial sectors. His publication portfolio shows consistent focus on behavioral operations, with recent work examining workforce diversity disclosures, shared medical appointments, and anxiety mitigation in service encounters. Key trends reveal growing application of transparency principles to complex service ecosystems and human-technology collaboration challenges. His awards include: Wickham Skinner Early Career Research Accomplishments Award (2019) Wyss Award for Excellence in Mentoring Doctoral Students (2024) Faculty Teaching Award from the Class of 2024 Charles M. Williams Award for Executive Education (2016) Stan Hardy Award for Outstanding Paper (2011) As a dedicated mentor, Professor Buell received the Wyss Award for doctoral mentoring in 2024. His research has attracted significant grant support through Harvard's Behavioral Insights Group affiliation, though specific funding details aren't public. He maintains strong industry connections through executive education programs and case development for major corporations. Professor Buell is actively affiliated with Harvard's Behavioral Insights Group at the Kennedy School, applying behavioral science to public sector challenges and conducting field experiments that bridge academic research and real-world implementation.

Uday Venkatadriمشاهده پروفایل

استاد

• Supply Chain Management
• Facilities Planning and Design
• Production Planning and Control
• +۵ مورد دیگر

Dr. Uday Venkatadri is a Full Professor and Department Head in the Department of Industrial Engineering at Dalhousie University's Faculty of Engineering, where he has taught since 2001. His industrial experience includes roles as Lead Architect at Baan and Research Associate at Université Laval. His research bridges facilities planning, supply chain optimization, and Industry 5.0 technologies, utilizing Mixed Integer Linear Programming as a core methodology. Research interests span: Hyperconnected logistics systems Production planning under uncertainty Healthcare supply chain resilience Sustainable operations AI/ML applications in industrial systems His publication trends show strong focus on: Optimization under uncertainty (35% of recent works) Sustainable supply chains (25%) Healthcare operations (20%) Maintenance systems (15%) Industry 5.0 applications (5%) Notable scientific awards: 2021 IISE Teaching Award (Logistics Division) Dalhousie Teaching Excellence Awards (2016, 2004) Purdue University Fellowships (1991-1993, 1987-1990) IIE Master's Thesis Award (1988) Advising and grants: Supervises graduate students in supply chain optimization and production systems Research funded through industry partnerships and institutional grants Developed 15+ graduate courses including Advanced Facilities Planning Laboratory involvement includes leading computational research groups focused on logistics optimization and sustainable operations, though no dedicated physical lab is specified.

AHMET USLUمشاهده پروفایل

مدرس

• Organizational Justice
• Organizational Commitment
• Organizational Cynicism
• +۶ مورد دیگر

Dr. Ahmet Uslu is a Lecturer and currently serves as Director at Bingöl University's Vocational School of Social Sciences. He has been working at Bingöl University since 2013, initially joining as a Teaching Staff member in the Management and Organization Department before his 2022 appointment to the Department of Office Services and Secretarial Studies. Throughout his career at Bingöl University, he has held multiple administrative positions including program director, department head, and deputy director. Dr. Uslu completed his academic journey with a Bachelor's degree in Business from Kahramanmaraş Sütçü İmam University (2003-2007), followed by a Master's degree in Business from the same institution (2008-2012), and finally earning his Doctorate in Business from Bingöl University (2016-2021). His educational background reflects a consistent focus on business administration with increasing specialization in organizational behavior and management. His research spans organizational behavior and environmental management, with particular emphasis on organizational justice, commitment, cynicism, job satisfaction, digital management, watershed management, and regional development. Analysis of his publications reveals a strong focus on practical applications of organizational theory in Turkish contexts, especially in the TRB1 region, and an increasing integration of environmental sustainability concerns with business administration principles. His work demonstrates consistent productivity across multiple research streams with publications in both national and international journals. Dr. Uslu has been actively involved in numerous research projects, particularly those focused on watershed management and regional development. His project portfolio includes IFAD-funded initiatives like the Murat River Basin Rehabilitation Project, TÜBİTAK-supported research on integrated watershed management, and various studies on educational applications and employment promotion. These projects reflect his commitment to addressing regional development challenges through academic research. Coordinator of Murat River Basin Rehabilitation Project 2021 Monitoring Survey (IFAD, 2021) Researcher for Integrated Watershed Management Models Based on Landscape Character (TÜBİTAK, 2021) Researcher for Longitudinal Tracking of Vocational High School Students' Skills (TOBB-TEPAV, 2021-present) Dr. Uslu has demonstrated strong academic productivity with publications spanning organizational behavior, tourism management, financial markets, and watershed management. His work appears in both international journals (including ESCI-indexed publications) and national journals indexed in TR Dizin. His research approach combines theoretical frameworks with practical applications in Turkish regional contexts, particularly focusing on the TRB1 region's development challenges.

• Analytics
• Statistics Education
• Operations Research
• +۴ مورد دیگر

Concetta A DePaolo serves as Chair & Professor in the Marketing and Operations Department at Indiana State University's Scott College of Business. Holding a Ph.D. in Operations Research from Rutgers University (2001), she specializes in bridging analytics with business education through innovative teaching methodologies. Her research spans Statistics Education, Business Analytics, and Educational Technology, with notable contributions including the STAT-MAPS learning platform and real-world case studies like Save the Vino and Disney World wait time analyses. She develops practical applications using Excel and Tableau for cost estimation, housing market visualization, and healthcare analytics. Dr. DePaolo's scholarly impact is reflected in 25+ journal articles in publications like Journal of Statistics Education and British Journal of Educational Technology . Her work demonstrates consistent focus on making quantitative methods accessible through: Development of teaching datasets (Café Data series) Transactional distance research in online learning Word cloud applications for qualitative assessment Recurrent quiz systems for student engagement Her distinguished recognition includes: Caleb Mills Distinguished Teaching Award (ISU's highest honor) Faculty Recognition Awards for Teaching Excellence (2021, 2016) Professing Excellence awards annually since 2019 Journal Article Award from AECT-DDL (2015) As an active grant recipient and committee leader, she directs resources toward educational innovation while mentoring through the Master Teacher Program. Her STAT-MAPS platform continues to evolve as a key resource for statistics educators, reflecting her commitment to open educational resources and practical analytics training.

• Differential Equations
• Applied Statistics
• Item Response Theory
• +۶ مورد دیگر

Dimitar Petkov Tsvetkov is a Professor at the Department of Mathematical Analysis and Applications, Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo. His research spans differential equations, applied statistics, neural networks, psychometrics, and stochastic processes, with applications in psychology, ecology, and education. Research interests focus on: Probability and stochastic modeling (Markov chains, queueing theory) Psychometric theory and test validation (Item Response Theory, population homogeneity) Mathematical biology (predator-prey systems, population dynamics) Educational mathematics (competitions, pedagogical strategies) Applied computational methods (neural networks, Monte Carlo algorithms) Publications (2015–2024) emphasize probability, statistics, and applied mathematics, with recurring themes in Markov processes, educational assessment, ecological modeling, and mathematics pedagogy. Recent works show increased focus on theoretical probability and statistical applications in social sciences. Grants include participation in the project Maximizing the comparative achievements of the border regions (2010–2012), analyzing regional governance, labor markets, and EU integration effects in Bulgarian-Romanian border areas.

Marcus Östermanمشاهده پروفایل

پژوهشگر

• Education Policy
• Political Participation
• Voter Turnout
• +۷ مورد دیگر

Marcus Österman is a Researcher at the Department of Political Science at Uppsala University. His work focuses on the intersection of education policy, political participation, and comparative politics, with a particular emphasis on Sweden and European contexts. Dr. Österman's research interests span several interconnected areas: Education policy and its effects on political behavior and civic values Comparative welfare state analysis, particularly regarding EU migration Voter turnout and electoral behavior in response to economic factors The relationship between educational institutions and social outcomes like trust and inequality Political participation among marginalized groups, including refugees and the unemployed His recent work demonstrates a consistent focus on using quasi-experimental methods and natural experiments to examine causal relationships in education and political science. Österman frequently collaborates with researchers across disciplines, particularly in studies examining the intersection of education systems, welfare states, and political behavior in European contexts. Dr. Österman's publications reveal a strong emphasis on comparative analysis, particularly examining how institutional contexts shape the relationship between education and political outcomes. His work often leverages Swedish register data and comparative European datasets to address questions of educational policy, political participation, and welfare state dynamics.

• Operations Research
• Probability and Stochastic Modeling
• Optimization
• +۵ مورد دیگر

Michael Veatch is a Professor of Mathematics at Gordon College in the School of Science, Technology and Health. Holding a Ph.D. from MIT with prior industry experience in defense logistics, he bridges theoretical operations research with practical humanitarian applications. His educational background includes: B.A. from Whitman College M.S. from Rensselaer Polytechnic Institute Ph.D. from Massachusetts Institute of Technology Dr. Veatch specializes in applying probability models and optimization techniques to humanitarian logistics and queueing networks. His research spans pandemic vaccine allocation strategies, gift-in-kind donation systems for organizations like World Vision, and airport congestion management during disaster relief operations. He investigates how faith-based values influence operational decisions in Christian relief organizations through collaborations with Wheaton College and MIT. His work uniquely integrates mathematical rigor with real-world humanitarian challenges, particularly in crisis response scenarios. Analysis of his publication record reveals a strategic evolution from theoretical queueing network research toward increasingly applied humanitarian logistics work. His recent publications demonstrate sophisticated optimization frameworks addressing urgent global health challenges like pandemic response, while maintaining strong theoretical foundations in stochastic modeling and dynamic programming. The interdisciplinary nature of his work connects mathematics, operations research, public health, and ethical decision-making. Dr. Veatch has made significant contributions through his textbook Linear and Convex Optimization: A Mathematical Approach (Wiley, 2021) designed for mathematics majors. He developed an industry-focused course through the Preparation for Industrial Careers in Mathematical Sciences program and contributes to vocational guidance for mathematics students. His active research collaborations include: International Vaccine Allocation with MIT researchers Gift-in-Kind Acceptance Strategies for World Vision Informed Compassion project on faith-based operational decisions Disaster airport scheduling using Haiti earthquake data

Bob Battمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Service Operations
• Process Improvement
• +۳ مورد دیگر

Bob Batt is the Procter & Gamble - Bascom Professor and Associate Professor in the Department of Operations and Information Management at the Wisconsin School of Business, University of Wisconsin-Madison. He also holds an affiliate appointment with the Department of Emergency Medicine in the UW-Madison School of Medicine and Public Health. Professor Batt received his PhD from the Wharton School at the University of Pennsylvania in 2013. He also holds an MBA from the Tuck School of Business at Dartmouth College as well as engineering degrees from Dartmouth College and Wheaton College. Professor Batt's research focuses on service operations with an emphasis on healthcare delivery operations. His work examines emergency department operations, physician workload effects, facility layout impacts on service workers, and quality metrics in healthcare settings. He has developed insights into how discrete work shifts affect continuous service systems and how patient flow can be optimized in emergency care environments. His research bridges operations management principles with practical healthcare delivery challenges, providing actionable insights for improving patient outcomes and operational efficiency. Professor Batt serves as Department Editor for Healthcare Management Science, and as Associate/Senior Editor for Management Science, Manufacturing & Service Operations Management, and Production and Operations Management. He is also a reviewer for several prestigious journals including Management Science, Operations Research, and Manufacturing and Service Operations Management. Procter & Gamble - Bascom Professor Professor Batt teaches Service Operations Management to both undergraduate and MBA students at the Wisconsin School of Business. He has previously taught Data Mining and Spreadsheet Modeling at the Tuck School of Business at Dartmouth College. His teaching connects theoretical operations concepts with practical business applications, particularly in service sectors like healthcare. Professor Batt is coauthor of the book 'Modeling for Insight: A Master Class for Business Analysts' which provides analytics modeling strategies and techniques for ill-structured business problems.

Muer Yangمشاهده پروفایل

استاد

• Simulation Optimization
• Health Care Management
• Public Policy Operations
• +۲ مورد دیگر

Muer Yang is a Professor in the Department of Operations and Supply Chain Management at the University of St. Thomas Opus College of Business. He holds a PhD in Operations Management from the University of Cincinnati, an MS in Management Science and Engineering, and a BS in Management Information System from Tsinghua University. His research applies simulation optimization to critical challenges in health care, public policy, and voting systems. His educational background includes: PhD in Operations Management, University of Cincinnati MS in Management Science and Engineering, Tsinghua University BS in Management Information System, Tsinghua University Professor Yang's research centers on simulation optimization techniques for health care management and public policy operations , with key focus areas: Voting systems and election operations Health care delivery and ICU management Affordable Care Act policy analysis His interdisciplinary work bridges operations research with real-world policy implementation. His 14 publications (2005-2018) reveal strong trends in public service operations research : Voting machine allocation models reducing voter wait times Health care operations for diabetic patients and ICU admissions Simulation-optimization for policy evaluation under uncertainty Work appears in premier journals including Production and Operations Management and Omega . Key honors include: Susan E. Heckler Research Excellence award (2015) INFORMS SPPSN best paper competition second place (2011) Professor Yang mentors students through operations management and analytics courses, with research attracting media coverage and election law expert testimony. His work aligns with: National Science Foundation-funded policy research Health care innovation grants He collaborates through the Behavioral Research Center and Risk Leadership Initiative, partnering with researchers like S. Kumar and M.J. Fry across institutions.

Michael Dulinمشاهده پروفایل

استاد

• Health Disparities
• Public Health
• Health Care Management
• +۷ مورد دیگر

Michael Dulin is a Full Professor in the Department of Public Health Sciences at the University of North Carolina at Charlotte's College of Health and Human Services. He has held this position since August 2016 and maintains an active research profile with 66 publications and over 17,000 reads on ResearchGate. Prior to his current academic appointment, Dr. Dulin served as Chief Clinical Officer for Analytics and Outcomes Research at Carolinas HealthCare System Dickson Advanced Analytics from September 2013 to April 2016, and as a Medical Doctor at Carolinas Medical Center University Family Medicine from June 2001 to April 2016. Dr. Dulin's research focuses on health disparities, public health, health care management and delivery, preventive medicine, and chronic disease management. His work frequently employs community-based participatory research methods and examines health outcomes in vulnerable populations, particularly Hispanic communities in Charlotte, NC. He has made significant contributions to understanding asthma management through shared decision making, population health approaches to diabetes care, and the application of big data analytics in healthcare delivery. His publication record demonstrates a strong emphasis on translating research into practice, with numerous studies examining interventions to reduce health disparities and improve care for high-risk populations. Dr. Dulin's work spans multiple disciplines including epidemiology, health services research, and mathematical modeling of disease transmission. Dr. Dulin has collaborated extensively with researchers across various institutions, with notable co-authors including Hazel Tapp, Yhenneko J. Taylor, and Lindsay Shade. His research has addressed critical issues in healthcare including contraceptive access, transitional care management, and nutrition education for individuals with spinal cord injuries.