جست‌وجوی استاد و پژوهشگر

• System Dynamics
• Production Management
• Supply Chain Management
• +۷ مورد دیگر

Professor Dr. Jürgen Strohhecker is a renowned academic at Frankfurt School of Finance & Management since 1999. His expertise spans General Business Administration, Production Management, and Controlling, with a focus on System Dynamics and its applications in strategic decision-making. Frankfurt School of Finance & Management Management Research Centre German Society for System Dynamics (DGSD) President, 2010-2014 System Dynamics Society President, 2015 His research explores dynamic-complex decision-making, behavior-oriented operations management, and production control. Recent work examines team mental models, Kanban integration in pharmaceutical production, and safety stock optimization under disruptions. Key article trends include System Dynamics applications in finance, sustainability, and operations. Subfields span from stock-flow analysis to strategic implementation frameworks. Notable awards: Prechel Foundation Dissertation Prize (1998) and Hessian University Prize for Excellence in Teaching (2010). He has contributed extensively to academic discourse through publications and editorial roles.

Julia Riederمشاهده پروفایل

پژوهشگر

• Remote Sensing
• LiDAR
• 3D Modeling
• +۶ مورد دیگر

Julia Rieder is a researcher at the Chair of Remote Sensing (Institute of Geography and Geology) at the University of Würzburg. She focuses on forest ecology, 3D modeling, and LiDAR analysis with specific interest in drought-induced tree mortality and vitality assessment. Her work includes: Developing the TreeCompR R package for tree competition analysis Monitoring soil moisture variability using electrical resistivity tomography Studying European beech tree mortality patterns She has been involved in several research projects since 2018 including: EO4CAM (since 2024) Beechdecline (2021-2024) Her methodological expertise spans: Inventory data processing ALS/TLS point cloud analysis Distance-dependent competition indices

Susan Southمشاهده پروفایل

استاد

• Personality Psychology
• Psychopathology
• Behavioral Genetics
• +۷ مورد دیگر

Susan South is a Professor in the Department of Psychological Sciences at Purdue University, where she also serves as the Director of Clinical Training and Associate Dean for Faculty Affairs . Her research bridges personality, psychopathology, and interpersonal relationships, with a focus on how marriage influences mental health. Education: PhD (2006), University of Virginia Research Interests center on gene-environment interplay in marital dysfunction and mental illness, behavior genetics of personality and relationships, and interpersonal risk factors for mild cognitive impairment. She employs longitudinal and twin studies to explore these dynamics. Recent Articles highlight her work on Hierarchical Taxonomy of Psychopathology (HiTOP) , personality disorders , and relationship dissolution , with applications to substance use , loneliness , and emotional regulation . Scientific Awards : Fellow, Association for Psychological Science Grants : NIH/NIA, Indiana CTSI, Simon Foundation

Ruwen Qinمشاهده پروفایل

دانشیار

• Intelligent transportation systems
• Smart civil infrastructure systems
• Human sensing & analytics
• +۸ مورد دیگر

Ruwen Qin is an Associate Professor in the Department of Civil Engineering at Stony Brook University. Her research focuses on integrating data analytics, machine learning, and systems engineering into civil infrastructure systems to develop cyber-physical systems and intelligent automation. She applies these technologies to enhance human-AI collaboration, improve transportation safety, and advance smart infrastructure monitoring. Developing AI models for structural health monitoring Applications in worker safety and transportation systems Specializes in computer vision and sensor fusion Her recent work includes deep learning frameworks for drone-assisted inspections, structural component segmentation using weak annotations, and attention-based networks for traffic risk prediction. She also explores explainable AI for crash anticipation and interactive systems for bridge inspectors. Ruwen Qin's research spans interdisciplinary domains, combining civil engineering with AI-driven analytics to address challenges in infrastructure resilience, transportation safety, and human-centric automation systems.

Tasha Beretvasمشاهده پروفایل

استاد

• Quantitative Methods
• Psychometrics
• Multilevel Modeling
• +۳ مورد دیگر

Tasha Beretvas is a Professor of Quantitative Methods in the Department of Educational Psychology and Associate Dean of Research and Graduate Studies at the College of Education, University of Texas at Austin. She holds the John L. and Elizabeth G. Hill Professorship and has led faculty affairs as Senior Vice Provost for Faculty Affairs. Research focuses on psychometric models, multilevel modeling with complex data structures (e.g., student mobility), and meta-analytic techniques for single-case designs. Key contributions include methodological advancements in multilevel modeling, meta-analysis of dependent effect sizes, and synthesis of single-subject experimental data. Her work appears in journals like Multivariate Behavioral Research , Psychological Methods , and Journal of Educational Psychology . Recent articles emphasize meta-analysis of single-case designs, handling missing data in meta-regression, and cluster wild bootstrapping for dependent effect sizes. She has pioneered tools like MultiSCED for multilevel analysis of single-case data. Scientific Awards Regents Award for Excellence in Undergraduate Teaching Grants Principal Investigator (PI) or Co-PI on multiple Institute of Education Sciences (IES) grants Leadership Elected member, Society for Research Synthesis Methodology Past Associate Editor, Journal of School Psychology and Journal of Educational Psychology Member, Design and Analysis Committee for the National Assessment of Educational Progress (NAEP)

• Urban Climate Research
• Thermal Comfort
• Urban Air Quality
• +۶ مورد دیگر

Prof. Dr. Uwe Schlink is a leading Professor at the Institute of Meteorology, University of Leipzig, and Senior Researcher at the Department of Urban & Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ. His work focuses on urban climate research , thermal comfort , urban air quality , and statistical modelling with Bayesian inference. He leads the working group on urban climate and personal exposure, bridging environmental science with societal resilience. Affiliation: University of Leipzig (since 2009) and UFZ (since 2013) Research Themes: Urban heat islands, personal exposure to environmental stressors, statistical climate models, and health impacts of air pollution His research spans environmental health , urban climatology , and resilient city planning , with significant contributions to understanding thermodynamic interactions between urban structures and climate. He has pioneered methods for high-resolution land surface temperature analysis and green infrastructure performance in mitigating heat stress. Recent publications (2023-2025) highlight his work on PM2.5-bound PAH exposure , anthropogenic heat impacts in Beijing, and Asian plateau climate dynamics . Collaborative projects address urban heat stress , green roofs , and health-focused urban planning .

Zhibin (Ben) Yangمشاهده پروفایل

دانشیار

• Applied machine learning
• Machine learning in business
• Operations research
• +۴ مورد دیگر

Zhibin (Ben) Yang is an Associate Professor of Operations and Business Analytics and Edwin E. and June Woldt Cone Research Scholar at the University of Oregon's Lundquist College of Business. His research focuses on production and operations management, supply chain management, and machine learning, with affiliations to the Center for Sustainable Business Practices, Oregon MBA, and Undergraduate Programs. PhD in Industrial and Operations Engineering, University of Michigan MS in Industrial Engineering, Arizona State University BS in Mechanical Engineering, Southwest Jiaotong University, China His research spans applied machine learning and operations research , addressing challenges in supply chain contract design , risk management , and sustainable supply chains . Key themes include asymmetric information in supplier-buyer dynamics, recovery strategies for supply disruptions, and corporate social responsibility in sourcing. His work employs game theory and optimization models to analyze strategic decisions. Recent publications highlight trends in machine learning for business (e.g., hedge fund prediction) and supply chain resilience (e.g., bike-sharing super hubs, CSR engagement). Journal outlets include Management Science , Manufacturing & Service Operations Management , and Production and Operations Management . Edwin E. and June Woldt Cone Research Scholar Yang's professional experience includes prior roles as an engineer, technical salesperson, and consultant in China. He advises on supply chain strategies and collaborates with industry partners through centers like the Center for Sustainable Business Practices. His work bridges theoretical models with real-world applications in procurement, risk mitigation, and innovation outsourcing.

Otso Ovaskainenمشاهده پروفایل

استاد

• Ecological Modeling
• Metapopulation Biology
• Movement Ecology
• +۴ مورد دیگر

Professor Otso Ovaskainen holds a permanent position at the University of Helsinki , where he serves as Research Director in the Organismal and Evolutionary Biology Research Program. He is also a Visiting Professor at a Norwegian Centre of Excellence since 2014. Supervisor in the Doctoral Programme in Wildlife Biology Established the Research Center for Ecological Change (REC) with 60+ members ERC Starting Grant recipient (2008-2013) Research Interests: Ovaskainen bridges mathematical theory with empirical ecology, focusing on metapopulation dynamics, movement ecology, and statistical community ecology. His work integrates: Ecological theory with data Individual-based modeling Fungal community dynamics Probabilistic taxonomic placement Environmental DNA analysis Multi-species movement modeling Scientific Leadership: He has led major projects including the Finnish Centre of Excellence in Metapopulation Research (2015-2017) and the LIFEPLAN biodiversity inventory project (2020-2026). His HMSC modeling framework remains a benchmark in joint species distribution modeling.

Felipe A. Lisboaمشاهده پروفایل

عضو هیئت علمی

• Surgical Critical Care
• Precision Medicine
• Inflammatory Response
• +۵ مورد دیگر

Felipe A. Lisboa, M.D. is a Research Assistant Professor in the Department of Surgery at the Uniformed Services University of the Health Sciences (USUHS) School of Medicine in Bethesda, MD. He serves as the Surgical Critical Care Initiative (SC2i) Associate Director of Clinical Research and SC2i USU/WR Biorepository Director. With over ten years of experience in both basic and clinical research, Dr. Lisboa has established himself as a prominent researcher in surgical critical care, precision medicine, and inflammatory response mechanisms. Dr. Lisboa's research interests span surgical critical care, precision medicine, inflammatory response mechanisms, trauma and wound healing, angiogenesis, immunology, molecular biology, and the application of machine learning in clinical research. His work particularly focuses on multiomics approaches (genomics, proteomics, and metabolomics) to understand surgical complications including wound failure, local infection, sepsis, pneumonia, ARDS, AKI, and VTE in military and civilian patients. His publication record demonstrates a clear progression from fundamental molecular immunology research to applied clinical trauma medicine, with recent work emphasizing precision medicine approaches to surgical decision-making. His articles reveal a consistent focus on inflammatory biomarkers, wound healing mechanisms, and computational methods to improve outcomes for trauma patients. Dr. Lisboa's scientific contributions include developing clinical decision support tools, expanding the SC2i USU/WR Biorepository inventory, and implementing clinical study protocols for surgical critical care research. His work bridges basic science with clinical applications, particularly in combat casualty care.

Peter Knightsمشاهده پروفایل

استاد

• Engineering Asset Management
• Mine Maintenance
• Systems Engineering
• +۵ مورد دیگر

Professor Peter Knights is a faculty member at the School of Mechanical and Mining Engineering , University of Queensland, where he serves as Discipline Lead for Mining. He previously held the BMA Chair in Mining Engineering (2006–2015) and worked as Assistant Professor and later Associate Professor at the Catholic University of Chile (1996–2004), where he also held the Canadian Chair in Mining. Education: BEng (Mechanical) from University of Melbourne, MEng (Systems Engineering) from RMIT, PhD in Mining Engineering from McGill University. Research Focus: Engineering asset management, mine maintenance, systems engineering for mine safety, ESG integration in mine planning, and electrification of mining haulage. He pioneered ESG frameworks and developed the ValueTree software adopted by Rio Tinto. Recent Publications: His 15 most recent articles (2023–2025) emphasize digital twins , low-emission mining systems , ESG optimization , and battery trolley electrification in journals like Mining , Energies , and Mining Technology . Industry Impact: Developed the Jack-knife methodology for downtime analysis, now used in GE Wabtec's APS software, and innovative models for ultimate pit limits in FMIPCC systems. Supervision: Currently supervises PhD students on topics like AI-driven asset management, battery trolley systems, and rock mass preconditioning. Past supervision includes work on shovel sequence optimization and critical spare parts management.

Mina Sonمشاهده پروفایل

مدرس

• Psychometrics
• Industrial-Organizational Psychology
• Natural Language Processing
• +۴ مورد دیگر

Mina Son is an academic at George Mason University's Department of Psychology, specializing in Industrial-Organizational Psychology. She holds a Master's degree in Personality and Social Psychology from Yonsei University (2015) and a Bachelor's in Urban Planning and Engineering from the same institution (2013). Her work focuses on psychometrics, forced-choice measurement techniques, natural language processing in personality assessment, and employment testing fairness. She teaches courses such as PSYC 300 (Statistics in Psychology), PSYC 435 (Personnel Training and Development), and lab sections for advanced statistical modeling courses. Dr. Son's research emphasizes innovative applications of technology in assessment, including generative AI for test development and machine learning approaches to detect faking in personality assessments. Her recent work explores the historical evolution of forced-choice measurements and the impact of situational strength on behavioral consistency. She has been recognized with a Best Papers (top 10%) award at the 2025 Academy of Management conference for her work on generative AI in testing validation. Her professional activities include presentations at major conferences like the Society for Industrial and Organizational Psychology and Academy of Management. Current research collaborations involve projects on political will measurement and adverse impact analysis in personnel selection systems. She maintains an active role in the academic community through teaching, research supervision, and contributions to psychological assessment methodologies.

SeyedHossein Hosseiniمشاهده پروفایل

پژوهشگر

• Systems Modelling
• System Dynamics
• Socio-technical Systems
• +۴ مورد دیگر

Dr SeyedHossein Hosseini 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. His work focuses on systems thinking and modeling complex socio-technical and socio-environmental challenges. Contact: s.h.hosseini@unsw.edu.au

• Waste Management and Disposal
• Ecology
• Environmental Chemistry
• +۴ مورد دیگر

Javier Gonzalez Romero serves as an Assistant Professor in the Department of Forest and Environmental Engineering and Management at the Technical University of Madrid. He is an active member of the research group "Inventario y Gestión de Recursos Naturales" (Inventory and Management of Natural Resources) since May 2023, contributing to natural resource studies within Spain's premier technical university. His research spans critical environmental domains with emphasis on: Waste Management and Disposal systems Ecological modeling and Environmental Chemistry Pollution mitigation in forestry contexts Integrated Environmental Engineering solutions Scholarly output demonstrates significant societal impact, with publications referenced in policy documents, covered by news outlets, and widely shared across academic platforms. Mendeley readership metrics (ranging 19-113 per article) and mentions by peer review sites confirm active engagement with his work on contemporary environmental challenges. His professional activities center around the Natural Resources Research Group where he collaborates on field studies and resource assessment projects, leveraging interdisciplinary approaches to address sustainability issues in forest and environmental management.

Yasel Costaمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Mathematical Programming
• +۵ مورد دیگر

Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.

• Remote Sensing
• Forest Ecology
• Terrestrial Laser Scanning
• +۳ مورد دیگر

Mark Danson is a Professor at the University of Salford's School of Science, Engineering & Environment, specializing in remote sensing and forest ecology. His research focuses on developing terrestrial laser scanning technologies for vegetation analysis and ecological monitoring. He leads work on the Salford Advanced Laser Canopy Analyser (SALCA) system and contributes to global environmental databases like Globe-LFMC. His research explores vegetation structure measurement, lidar technology development, and ecological applications of remote sensing. Key interests include forest canopy analysis, plant moisture estimation, wildfire risk assessment, and climate change impacts on ecosystems. Recent work advances 3D forest modeling and validation of satellite-derived ecological parameters. The publication record demonstrates consistent focus on terrestrial laser scanning methodologies and forest applications. Research trends show progression from instrument development (dual-wavelength lidar systems) toward large-scale ecological validation studies and global dataset creation for climate monitoring. Danson leads technology development initiatives including the SALCA instrument design and calibration. Collaborative work appears through international projects like the Global Ecosystem Dynamics Investigation validation studies.