جست‌وجوی استاد و پژوهشگر

• Time Series Analysis
• Applied Statistics
• Biostatistics
• +۴ مورد دیگر

Ying Zhang is a Professor in the Department of Mathematics and Statistics at Acadia University, maintaining an office in Huggins Science Hall, Room 151. She earned her BSc from Shandong Normal University and advanced degrees (MA, MSc, PhD) from Western University, complemented by P.Stat. certification (Certificate #78) from the Statistical Society of Canada. Her educational background includes: BSc from Shandong Normal University MA, MSc, PhD from Western University Professor Zhang's research centers on Time Series Analysis and Applied Statistics , extending to Statistical Computing, Symbolic Algebra Computing, and Statistical Consulting in Biostatistics, Survey Design, and Research Methodology. Her work demonstrates significant applications in environmental science (water resources trend analysis), health sciences (drug safety and utilization studies), and ecological modeling (wildlife population dynamics), with methodological innovations in nonparametric testing and hierarchical modeling. Analysis of her 2013-2018 publications reveals a dominant focus on developing novel time series methodologies for environmental and health contexts, particularly seasonal trend detection, medication utilization patterns, and ecological data analysis. Her work consistently bridges theoretical statistics with practical applications across disciplines. She actively contributes through the Statistical Consulting Centre and the CANSSI Maritime Statistical and Health Sciences Collaborating Centre , holding P.Stat. designation from the Statistical Society of Canada. While her collaborative publications indicate interdisciplinary engagement, specific details of grant funding and student advising are not documented in available sources.

• Rational Choice Theory
• Game Theory
• New Institutionalism
• +۴ مورد دیگر

Victor Stanislavov Avramov serves as an Associate Professor in the Department of Administration and Management at New Bulgarian University (NBU), where he teaches undergraduate courses including Economics-Based Business (BUBB105) and Business Management Strategies (BUBB400). His office is located in room 603 of Building II, with scheduled office hours on Mondays (8:00-9:30 and 14:30-15:00) and Thursdays (11:15-13:15). Avramov holds a Doctorate in Political Sciences (Public Administration) from Sofia University, as documented by Diploma No. SU 2012-17. His academic foundation supports his interdisciplinary research approach bridging theoretical frameworks with practical policy analysis. His research centers on applying Rational Choice Theory, Game Theory, and New Institutionalism to analyze European Integration, Organization Theory, and Energy Policy dynamics. He specializes in EU climate change and energy policies, examining how institutional structures and rational actor models shape policy outcomes in Bulgaria and the broader European context. This work reveals consistent methodological rigor in dissecting complex governance systems through political science lenses. Publication analysis shows a sustained focus on EU energy regulation since 2010, evolving from foundational theoretical applications (actor-focused institutionalism, game theory models) toward contemporary innovation management challenges in energy efficiency. The trajectory demonstrates deepening engagement with EU regulatory mechanisms while maintaining core theoretical frameworks. No scientific awards or honors were documented in the available sources. Information regarding graduate student advising, research grants, or leadership of formal research teams was not provided in current documentation. His professional activities indicate strong policy-practice integration through government and political party engagements.

Julius Žilinskasمشاهده پروفایل

استاد

• Global Optimization
• Multidimensional Scaling
• Parallel Computing
• +۶ مورد دیگر

Professor Julius Žilinskas is a distinguished academic at Vilnius University, serving as Chief Researcher and Group Leader of the Global Optimization Group within the Institute of Data Science and Digital Technologies. He is also a Member of the Senate of Vilnius University and serves on the Expert Committee of Natural and Technical Sciences of the Research Council of Lithuania. His academic career spans multiple institutions including Vilnius Gediminas Technical University and Kaunas University of Technology. Vilnius University, Institute of Data Science and Digital Technologies (Current) Vilnius Gediminas Technical University (Professor appointment, 2012) Kaunas University of Technology (Doctorate awarded, 2002) Professor Žilinskas' research interests focus on global optimization algorithms , multidimensional scaling , and parallel computing for complex optimization problems. His work bridges theoretical computer science with practical applications in facility location, data analysis, and educational assessment. He has made significant contributions to developing and analyzing algorithms for black-box global optimization, particularly in constrained and competitive settings. His recent publications reveal a strong focus on Bayesian optimization techniques , facility location problems , and educational data analysis . The research demonstrates increasing interdisciplinary collaboration, particularly with economists and educational researchers. His work shows a consistent trajectory from theoretical optimization methods to practical applications in diverse fields. Professor Žilinskas has served in numerous leadership roles including: Member of the Senate of Vilnius University Member of the Expert Committee of Natural and Technical Sciences of the Research Council of Lithuania Editor for special issues of the Journal of Global Optimization He leads the Global Optimization Group, which focuses on developing and implementing advanced optimization algorithms for complex real-world problems. The group maintains strong international collaborations and contributes to both theoretical advances and practical applications of optimization techniques.

• Global Optimization
• Competitive Facility Location
• Discrete Optimization
• +۴ مورد دیگر

Assoc. Prof. Dr. Algirdas Lančinskas is a Senior Researcher and Associate Professor at Vilnius University's Faculty of Mathematics and Informatics, working within the Global Optimization Group at the Institute of Mathematics and Informatics. His academic career spans over a decade at Vilnius University, where he has progressed from Junior Researcher to his current position as Associate Professor and Chief Researcher on multiple projects. He maintains an active international research profile with collaborations across Europe. Doctor of Physical Sciences (Informatics, 09P), Vilnius University Institute of Mathematics and Informatics, 2013 Dissertation: Parallelization of random search global optimization algorithms Dissertation supervisor: Prof. Dr. (HP) Julius Žilinskas Dr. Lančinskas specializes in global optimization, particularly competitive facility location problems, discrete optimization, and parallel computing. His research bridges theoretical optimization methods with practical applications in business, spatial economics, and public health. He has made significant contributions to nature-inspired optimization heuristics, developing novel algorithms for solving complex location problems with applications ranging from business expansion strategies to pandemic testing protocols. His work often involves multi-objective optimization approaches and the development of efficient parallel algorithms to handle computationally intensive problems. Analysis of his recent publications reveals a strong focus on competitive facility location modeling, with particular expertise in discrete optimization problems where multiple competitors vie for market share. His research increasingly incorporates robustness considerations under uncertainty in customer behavior, reflecting the growing complexity of real-world location decisions. The integration of ranking-based approaches with traditional optimization techniques represents a distinctive methodological contribution across his work. Dr. Lančinskas actively supervises doctoral students and has served on multiple dissertation defense councils. His research is supported by significant funding from the Research Council of Lithuania and international collaborations through COST actions. He has led multiple research projects focused on optimization algorithm development and their applications. As a member of the Global Optimization Group, he contributes to Vilnius University's strong tradition in optimization research, collaborating closely with Prof. Julius Žilinskas and international partners across Spain, the UK, and other European institutions. His work exemplifies the institute's commitment to both theoretical advances and practical applications of optimization methods.

• Transportation Systems Optimization
• Operations Research
• Machine Learning
• +۷ مورد دیگر

Emma Frejinger is a full Professor at the Department of Computer Science and Operations Research, Faculty of Arts and Science, Université de Montréal. She holds the Canada Research Chair in Demand-Driven Optimization of Transport Systems and the CN Chair in Railway Operations Optimization. Her work bridges operations research and statistical learning to solve large-scale transportation challenges. Ph.D. in Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland Her research focuses on transportation network optimization , demand forecasting , and discrete choice modeling . She develops data-driven methodologies for railway operations, EV charging infrastructure, and traffic prediction, emphasizing scalability and real-world applicability. Recent publications highlight trends in integrating machine learning with combinatorial optimization , particularly for MIPs , competitive facility location , and stochastic transport systems . These works span freight logistics , urban mobility , and reinforcement learning applications . Scientific Awards: Two-time INFORMS Transport Science and Logistics Society best Ph.D. thesis award 2017 Grand Prix d'excellence en transport (freight category) She has supervised 21+ graduate students in topics ranging from locomotive routing to electric vehicle adoption , with projects funded by NSERC, FRQ, and industry partners like CN Rail and Purolator. Her lab affiliations include CIRRELT and OPTIM , focusing on simulation and optimization.

Chen Chenمشاهده پروفایل

استادیار

• Infrastructure Resilience
• Disaster Management
• Transportation Safety
• +۳ مورد دیگر

Chen Chen is an Assistant Professor in the Fire and Emergency Management program at Oklahoma State University's College of Engineering, Architecture and Technology. His research focuses on infrastructure resilience, disaster response, and human behavior in complex systems, with interdisciplinary collaborations in psychology, public policy, and engineering. He teaches courses in emergency management, hazard assessment, and simulation modeling. Ph.D. in Transportation Engineering from Oregon State University Former ORISE Postdoctoral Fellow at U.S. Army Corps of Engineers Research spans tsunami evacuation modeling , risk communication systems , and micromobility in disaster contexts , utilizing agent-based simulations and empirical analysis of evacuation behaviors. Key publications examine evacuation logistics, warning dissemination, and human decision-making under rapid-onset hazards. Current projects address NSF-funded community resilience networks , Maui wildfire investigations , and informal warning system modeling . His work integrates social science , engineering , and transportation systems to enhance disaster preparedness.

Sean Lennonمشاهده پروفایل

استاد

• Social Studies Education
• Critical Thinking in Education
• Educational Technology
• +۴ مورد دیگر

Dr. Sean Lennon is a Professor of Social Studies Education at the College of Education, Valdosta State University . His work focuses on integrating critical thinking , moral dilemmas , and educational technology into social studies pedagogy, with a particular emphasis on social justice and equity in education . He has developed innovative case studies and simulations to address controversial issues in classrooms. Contact: smlennon@valdosta.edu, 229.333.5629 Location: Education Center, Valdosta State University His recent publications (2024) explore Latinx educational equity through tax credit scholarships and pedagogical strategies for critically conscious online/hybrid teaching . Earlier works analyze ethical decision-making in historical contexts (e.g., My Lai, Vietnam War), teacher perceptions of news media , and technology integration in social studies education. Research trends highlight a consistent focus on social justice , critical inquiry , and pedagogical innovation , often using case studies and simulations to engage students with moral dilemmas and civic responsibility . He also investigates teacher leadership dynamics and classroom behavior management .

Fiona Sauerbierمشاهده پروفایل

پژوهشگر

• Logistics
• Transport
• Production
• +۴ مورد دیگر

Fiona Sauerbier serves as a Scientific Associate at the Institute for Logistics, Transport and Production within the University of Hamburg Business School. Her research focuses on choice-based optimization under high-dimensional systems, directly contributing to advancements in logistics, transport, and production management through computational modeling and data-driven solutions. Her educational background includes a Master of Science degree. Core research interests encompass Logistics, Transport, Production, Optimization, Machine Learning, Crowd Management, and Traffic Analysis. She develops sophisticated frameworks for resource allocation in complex systems, particularly addressing crowd dynamics and transportation networks during large-scale international events. Recent publications reveal a strong trajectory in applying machine learning to real-time traffic forecasting for mega-events like the FIFA World Cup, while simultaneously advancing theoretical foundations of choice-based optimization in high-dimensional spaces. This dual focus bridges practical event logistics challenges with rigorous mathematical modeling. She operates within the research team led by Univ.-Prof. Dr. habil. Knut Haase, collaborating on projects that integrate optimization theory with transportation engineering applications. Her office is located at Moorweidenstraße 18, Room 2027 in Hamburg, with appointments conducted via email contact.

Soheil Sibdariمشاهده پروفایل

استاد

• Business Analytics
• Operations Management
• Logistics
• +۴ مورد دیگر

Dr. Soheil Sibdari is a Professor in the Department of Decision & Information Sciences at the University of Massachusetts Dartmouth's Charlton College of Business. He holds a PhD in Industrial Engineering and an MS in Economics from Virginia Tech, complemented by a BS in Computer Science from Shahid Beheshti University. His teaching expertise includes Business Analytics, Operations Management, and Logistics and Supply Chain Management. Specific courses he teaches include: POM 651: Creating Value Through Operational Analysis POM 682: Technology Management Strategies Professor Sibdari's research spans operations optimization, sustainable supply chains, and decision analytics. His work integrates mathematical modeling with empirical analysis in domains including: Pricing strategies and revenue management Closed-loop supply chain design Risk management in transportation systems Behavioral operations and decision-making Technology adoption impacts His recent publications demonstrate strong focus on sustainability challenges, with research examining carbon taxation effects, green supply chain optimization, and post-pandemic operations strategies. Methodologically, he employs simulation-optimization hybrids, game theory applications, and data-driven decision models.

Shivam Guptaمشاهده پروفایل

دانشیار

• Procurement
• Supplier Management
• Innovation Management
• +۱ مورد دیگر

Shivam Gupta is an Associate Professor of Supply Chain Management and Analytics at the University of Nebraska-Lincoln's College of Business. He joined the university in 2018 as an Assistant Professor and was promoted to his current rank in 2024. His office is located in HLH 511K, Lincoln, NE. Education: Ph.D. in Management Science, The University of Texas at Dallas (2011-2016) M.Tech. in Civil Engineering, Indian Institute of Technology Kanpur (2009-2011) B.Tech. in Civil Engineering, Indian Institute of Technology Kanpur (2003-2007) His research expertise spans procurement systems, supplier relationship management, agricultural operations optimization, and incentive mechanism design. He develops analytical models to address challenges in supply chains, focusing on both theoretical frameworks and practical applications in agricultural markets. His work integrates game theory, optimization techniques, and economic analysis to solve complex operational problems. Gupta's publications demonstrate consistent focus on mechanism design and operational challenges, with recent work emphasizing dynamic incentive structures, procurement optimization, and agricultural policy impacts. His articles appear in premier journals including Management Science, Operations Research, and Production and Operations Management. Honors: First Place, INFORMS Public Sector OR Best Paper Competition (2015) Finalist, POMS SCM Student Paper Competition (2016) He teaches undergraduate and graduate courses in business analytics, including SCMA 350: Business Analytics/Information Analysis and SCMA 855: Prescriptive Analytics.

• Game Theory
• Decision Making
• Social Network Analysis
• +۷ مورد دیگر

Katarina Kostelić, Ph.D., serves as an Assistant Professor at the Faculty of Informatics in Pula, part of Juraj Dobrila University of Pula. She earned her doctorate in 2017 and maintains an active role in both undergraduate and graduate education, teaching courses including Social Network Analysis, Quantitative Methods of Business Decision Making, Operations Research, Statistics, and Business Analytics. Her office is located at room 13 (Negrijeva ulica 6; university campus). Dr. Kostelić's research spans multiple interconnected domains, with a strong emphasis on game theory applications in decision-making processes, social network analysis, and cybersecurity. Her work frequently examines how awareness (or lack thereof) influences strategic interactions, with particular attention to emotional intelligence in organizational contexts. She has made significant contributions to understanding business networks, tourism economics, and statistical methodologies. Analysis of her recent publications reveals a clear trajectory toward increasingly complex applications of game theory in cybersecurity contexts, alongside continued exploration of social networks in tourism and business environments. Her research demonstrates interdisciplinary reach, connecting computer science, economics, psychology, and management studies. The integration of neutrosophic sets in satisfaction measurement and the application of TOPSIS frameworks to cybersecurity risk assessment highlight her methodological innovation. Dr. Kostelić serves in multiple editorial capacities, including Managing Editor of Applied Sciences and Business Economics, Member of the Editorial Board of Journal of Interdisciplinary Sciences, and Member of the Editorial Team for Symmetry. She has also contributed to the popularization of science through accessible explanations of strategic situations, game theory applications in cybersecurity, and business network dynamics. Her research leadership is evident through projects including 'Analysis of social networks in Croatian tourism' (2019-2022), 'Role of emotions in strategic decision-making' (2019-2023), and contributions to international collaborations like MEGASFORA and SMART INNO. Dr. Kostelić has also developed educational resources, most notably her 2024 publication 'Introduction to R and RStudio,' supporting statistical education.

• Computational Complexity
• Algorithmic Game Theory
• Mechanism Design
• +۳ مورد دیگر

Argyrios Deligkas is a Senior Lecturer (equivalent to Associate Professor) at the Royal Holloway University of London. He obtained his PhD from the University of Liverpool under the supervision of Rahul Savani and held postdoctoral positions at the University of Liverpool and the Technion (Industrial Engineering and Management department). His research focuses on computational aspects of game theory, optimization, and complexity. Key interests include: Algorithmic Game Theory and Mechanism Design Computational Complexity (PPAD/PPA-hardness) Fixed-parameter algorithms and combinatorial optimization Fair division and resource allocation Equilibrium computation in multi-agent systems Recent publications (2023-2025) demonstrate a strong emphasis on computational hardness in fair division (e.g., PPA-hardness proofs), mechanism design with real-world constraints, and parameterized algorithms for pathfinding/graph problems. Collaborative work with European researchers dominates his output, with frequent appearances at AAAI, IJCAI, and AAMAS. He actively presents at conferences (e.g., ALGA2025, WINE 2024) and collaborates internationally, including visits to universities in Vienna, Prague, Glasgow, and Edinburgh.

V. Carlos Slawson Jr.مشاهده پروفایل

استاد

• Real Estate
• Finance
• Mortgage Modeling
• +۵ مورد دیگر

V. Carlos Slawson Jr. is the Latter & Blum Distinguished Professor of Real Estate and Professor of Finance at Louisiana State University's E. J. Ourso College of Business, where he also serves as Associate Director of the Real Estate Research Institute. Joining LSU in 1995, he chaired the Finance Department from 2007-2015 and maintains active research in real estate finance and housing markets. His academic credentials include: PhD in Business Administration / Real Estate, University of Georgia (1995) MBA in Business Administration, University of Georgia (1992) BSBA in Accounting, University of Southern Mississippi (1991) Slawson's research centers on quantitative modeling of mortgage markets, housing economics, and securitization. His work examines asymmetric information in subprime lending, flood insurance mechanisms, and mortgage prepayment dynamics, contributing foundational insights to real estate finance. The interdisciplinary nature of his research bridges finance, economics, and policy analysis. Publication trends over 25 years reveal consistent output in premier real estate journals, with recent focus on flood insurance (2020) and historical analysis of subprime mortgages (2011-2012). His work demonstrates methodological rigor in econometric modeling and practical relevance to housing policy. Professor Slawson has earned significant recognition for his academic contributions: Latter & Blum Inc. Distinguished Professor of Business Administration Jacobs Professor of Excellence Award (2018) As Associate Director of the Real Estate Research Institute, Slawson leads collaborative research initiatives connecting faculty expertise with industry applications in real estate finance and housing markets.

Marisa Isabel Silva Cesárioمشاهده پروفایل

استادیار

• Tourism
• Innovation
• Economic Geography
• +۳ مورد دیگر

Marisa Isabel Silva Cesário is an Assistant Professor at the Faculty of Economics, University of Algarve, where she teaches microeconomics and regional development across undergraduate, master's, and doctoral programs. She directs the Master in Tourism Economics and Regional Development and serves as an integrated researcher at CInturs (Research Center for Tourism, Sustainability, and Wellbeing). Her academic journey includes a PhD in Economics (2010, University of Algarve) focusing on technological changes in labor-intensive sectors, an MSc in Economic and Business Sciences (2003), and a BSc in Economics (1998), all from the University of Algarve. She earned her Habilitation Title in 2024. Professor Cesário's research centers on tourism innovation and regional development dynamics. She examines how economic crises impact tourist behavior, the role of design in strategic innovation, and sustainable tourism models for Mediterranean regions. Her work combines economic geography with empirical analysis of Portuguese case studies, revealing how local capabilities sustain labor-intensive industries in globalized markets. Recent publications (2020-2025) demonstrate interdisciplinary convergence across tourism economics, innovation management, and sustainable development. Key trends include analyzing certification systems for innovation management, cultural tourism's community impacts, and behavioral drivers of tourist loyalty during economic volatility. Best PhD Thesis Award 2012 (for thesis completed in 2010) She actively supervises doctoral research on global tourism dynamics while securing significant EU funding through projects like INCULTUM (H2020) and finMED. Her leadership in CInturs fosters collaborative research on tourism sustainability, connecting academic insights with regional development practice across European networks. As an integrated member of CInturs, Professor Cesário contributes to a vibrant research ecosystem focused on wellbeing-centered tourism development, with particular emphasis on Mediterranean coastal regions and community-based heritage conservation.

• Rural medicine
• Medical workforce distribution
• Rural clinical education
• +۶ مورد دیگر

Associate Professor David Garne serves as Associate Professor and Associate Dean at the Graduate School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Australia, a position he has held since 2022. His work focuses on rural medicine, medical education, and health workforce distribution across metropolitan and rural Australia. Dr. Garne's research interests center on rural medical workforce distribution, medical education pathways that promote rural practice, and health service delivery in rural and remote communities. His work examines how rural clinical school experiences, student origins, and longitudinal integrated clerkships influence medical graduates' career choices and practice locations. He has conducted extensive research on workforce trends, demographic factors, and regional disparities in healthcare provision across Australia, frequently utilizing the Modified Monash Model for regional classification. Analysis of Dr. Garne's recent publications (2023-2025) reveals a strong focus on longitudinal studies of medical workforce distribution, particularly examining trends in rural versus metropolitan practice. His research employs large-scale data analysis of Australian Health Practitioner Regulation Agency (AHPRA) registration data. Key themes include workforce demographics, practice location patterns, and the impact of medical education interventions on rural workforce outcomes, with several publications demonstrating measurable influence on national discussions about rural healthcare policy. Dr. Garne has received research funding for projects including Not getting a fair go: why do people in rural areas with cancer have worse outcomes? (2019-2021), which involved collaboration with multiple researchers across Australia. His research has been widely cited and picked up by numerous news outlets and policy sources, demonstrating real-world impact on healthcare policy and medical education strategy in Australia. As Associate Dean at the Graduate School of Medicine, Dr. Garne contributes to shaping medical education at the University of Wollongong, which has a distinctive approach with all students undertaking a 12-month continuous longitudinal-integrated-clerkship placement in rural or regional NSW. His research directly informs educational strategies aimed at addressing healthcare disparities between urban and rural Australia.