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Karthik NatarajanView profile

Associate Professor

• Humanitarian Operations
• Global Health Supply Chains
• Health Care Delivery Systems
• +5 more

Karthik Natarajan is an Associate Professor in the Department of Supply Chain and Operations at the Carlson School of Management, University of Minnesota, and a Fellow of the Institute on the Environment. He holds a PhD in Operations from the Kenan-Flagler Business School at the University of North Carolina at Chapel Hill, where he received awards such as the Outstanding Graduating Student Award and University-wide Fellowship. His research focuses on humanitarian and non-profit operations, particularly global public health supply chains in resource-constrained settings. Key themes include funding uncertainty, incentive design for healthcare providers/patients, and strategies to prevent stock-outs of essential health commodities. His work has been published in top journals like Manufacturing and Service Operations Management , Production and Operations Management , and Journal of Global Health . Notable awards include multiple teaching recognitions at the Carlson School and finalist status for the Business Week Faculty of the Year Award. He serves as Associate Editor for Naval Research Logistics and on the Editorial Review Board for Decision Sciences . His expertise has been cited in media outlets like the New York Times and PBS. Scientific Awards Outstanding Graduating Student Award (UNC) University-wide Fellowship (UNC) Carlson School Outstanding Teaching Award (2021, 2016) MS Supply Chain Management Outstanding Teacher (2023) Full-time MBA Core Faculty of the Year (2024, 2023) Business Week Faculty of the Year Finalist (2020, 2019)

Melissa CushingView profile

Clinical Professor

• Transfusion Medicine
• Laboratory Medicine
• Hematology
• +3 more

Melissa Cushing, M.D., is a Clinical Professor in the Department of Pathology and Laboratory Medicine at Weill Cornell Medical College. She serves as Executive Vice Chair for Clinical Affairs, Medical Director of Clinical Laboratories, and Division Director of Transfusion Medicine and Cellular Therapy at Weill Cornell Medical College and NewYork-Presbyterian Hospital. M.D. from Georgetown University School of Medicine (2001) Clinical Pathology Residency at Emory University School of Medicine (2005) Fellowship in Transfusion Medicine and Cellular Therapy at Johns Hopkins School of Medicine (2006) Her research focuses on transfusion medicine, coagulation management, and laboratory medicine with particular emphasis on COVID-19 diagnostics , pathogen-reduced blood products , and perioperative hemostasis . Recent publications examine SARS-CoV-2 testing strategies, fibrinogen replacement therapies, and blood product inventory systems. Her work bridges clinical pathology with anesthesiology through cross-departmental collaborations. Dr. Cushing holds dual board certifications in Clinical Pathology and Blood Banking/Transfusion Medicine from the American Board of Pathology. She actively collaborates with industry partners including: Ceruus Corporation (Scientific Advisory Board) CSL Behring & Octapharma (Consultancy roles) Grifols & Werfen (Research Partnerships) Her 15 most recent articles (2023-2025) demonstrate expertise in transfusion safety , coagulopathy management , and innovative blood product applications across specialties including anesthesiology, critical care, and infectious diseases.

• Operational Research
• Health Services Research
• Simulation Modeling
• +7 more

Joe Viana is a Postdoctoral Fellow at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU). With a PhD in Operational Research and an MSc in Management Science from the University of Southampton, UK, he specializes in applying simulation modeling to healthcare and supply chain systems. PhD in Operational Research, University of Southampton MSc in Management Science, University of Southampton His research focuses on Operational Research and Health Services Research , utilizing Discrete-Event Simulation , Agent-Based Modeling , and System Dynamics to analyze healthcare operations and supply chain resilience. Current work includes the HARMONI project for sustainable healthcare resource management. He has published extensively on hybrid simulation frameworks, digital twins in healthcare, and medicine supply chain disruptions, collaborating with institutions in Norway, the UK, and internationally. His outreach includes invited lectures at the University of Exeter, Simon Fraser University, and the Operational Research Applied to Health Services (ORAHS) conference.

• Data Mining
• Database Systems
• Machine Learning
• +7 more

Jixue Liu is an Associate Professor at the School of Information Technology and Mathematical Sciences, University of South Australia, with a research focus spanning data mining, database systems, machine learning, and privacy-preserving technologies. His work bridges theoretical advancements with practical applications in remote sensing, social media analysis, and ethical AI. Education: PhD in Computer Science (Databases), 2001, University of South Australia Master by Research in Mining Engineering, 1987, Beijing University of Science and Technology Bachelor's in Mining Engineering, 1982, Xian University of Architecture and Technology Research interests center on causal inference (e.g., causal decision trees, front-door criterion), privacy-preserving data publishing (e.g., k-anonymity, composition attack mitigation), and machine learning for social media (e.g., adverse drug reaction detection, protest event prediction). Recent work explores algorithmic fairness and XML schema transformations. Article trends reveal expertise in causal modeling (2022-2024), with methodologies like variational autoencoders and instrumental variables, alongside privacy-preserving analytics and event detection systems . His interdisciplinary approach integrates computer science, statistics, and domain-specific applications in forestry and healthcare. Scientific awards include the Best Paper Award at ADC 2014. Major grants from ARC and CRC programs (2005-2023) highlight sustained funding for projects on entity resolution, causal rule mining, and fair predictive modeling. He supervises research degrees and teaches database management, XML databases, and data mining.

Susanne HohmannView profile

Professor

• Logistics
• Supply Chain Management
• Operations Research
• +5 more

Prof. Dr. Susanne Hohmann is a Professor of Logistics at the Westphalian University of Applied Sciences and holds a professorship in General Business Administration, especially Logistics and Project Management at the FOM University of Applied Sciences for Economics and Management . She serves as Vice Dean in her department and focuses on logistics, supply chain management, and operations research. Professor of Logistics, Westphalian University of Applied Sciences Professor of General Business Administration - Logistics and Project Management, FOM University Vice Dean, Department of Economics GE (FB 4) Research Interests include: Supply Chain Resilience through transparent and rational stakeholder behavior Bullwhip Effect Mitigation using vendor-managed inventory systems Green Logistics and sustainable transportation Operations Research applications in logistics networks IT Integration in supply chain processes Automotive Logistics and global container management Scientific Awards : Fifth Annual InfoSci®-Journals Excellence in Research Awards (2012) Stinnes Logistics Award (2004) Essen Savings Bank Prize (2005) Innovation Award of the FAG Kugelfischer Foundation (2004) Supply Chain University Award (2005) of the AKJ Automotive working group

Robert L. CarrawayView profile

Professor

• Data Analytics
• Decision Sciences
• Optimization
• +4 more

Robert L. Carraway is a Professor at the University of Virginia's Darden School of Business, where he has been a faculty member since 1984. He currently serves as the Quantitative Analysis (QA) area head and previously held the position of Senior Associate Dean for MBA Programs from 2006-2011. Carraway teaches Data Analytics and Decision Sciences courses in Darden's MBA program, including First Year Decision Analysis, Managerial Quantitative Analysis, Optimization Models, and Darden Business Projects: Venturing. His global executive education work spans Europe, Asia, and Latin America. Education: B.S., East Carolina University M.B.A., East Carolina University Ph.D., Purdue University Carraway's research spans multiple areas of quantitative business analysis. His original work focused on Optimization, but he has expanded his focus to the broader role of analytics in decision making. He examines the relationship between intuition and rational analysis, exploring how these approaches complement one another in business contexts. His work investigates how analytical methods enhance innovation processes, making them more effective and efficient. A significant portion of his recent research addresses 'Big Data' applications in business. He has authored articles such as 'Big Data, Small Bets' and 'Meeting the Big Data Challenge: DON'T Be Objective,' which explore practical approaches to leveraging large datasets for competitive advantage. His work emphasizes combining analytical rigor with business judgment rather than relying solely on data-driven approaches. Carraway's publication record demonstrates a consistent focus on quantitative methods for business decision-making. His earlier work centered on optimization models and mathematical programming, while more recent publications address analytics, probability distributions, and risk analysis. A notable trend is his exploration of how decision-makers integrate quantitative analysis with intuitive judgment in complex, uncertain environments. Award Recognition: Multiple teaching honors at Darden School of Business Carraway has significantly influenced business education through his case method teaching, with numerous cases used in Darden classrooms worldwide. His global executive education work extends his impact to practicing managers across continents. While specific doctoral students aren't listed, his long tenure suggests substantial mentoring experience. As QA area head, he oversees faculty specializing in quantitative business analysis and collaborates with colleagues like Sam Bodily, Phillip Pfeifer, and Sherwood Frey on research teams focused on decision sciences.

• Landslide Susceptibility
• Geomorphology
• Natural Hazards
• +3 more

Chiara Martinello is a Researcher in Earth and Marine Sciences at the University of Palermo, Italy, with office hours held Tuesdays 3:00-5:00 PM at Via Archirafi, 20 - 4th floor. Her work focuses on advanced geomorphological analysis of landslide and coastal processes using statistical and machine learning methodologies. Her research spans landslide susceptibility mapping, coastal erosion vulnerability, and earthquake/tropical storm-induced geohazards. She addresses critical methodological challenges including incomplete landslide inventories, cell-size effects in modeling, and integration of preparatory/triggering factors. Fieldwork concentrates on Sicily (Italy) and El Salvador, with emphasis on practical risk assessment applications. Analysis of her 15 most recent publications reveals consistent innovation in statistical landslide modeling, particularly regarding inventory completeness validation and multi-typology susceptibility mapping. Recent work expands into coastal vulnerability indices and anthropogenic impacts on fluvial systems, demonstrating interdisciplinary integration of geospatial data, bathymetry, and hydrological modeling. No scientific awards are documented in available sources. Dr. Martinello supervises Master's theses as indicated by her 'Edited theses' role, though specific student names aren't provided. Research grant details remain undisclosed in public materials, though her extensive publication record suggests active project involvement. She operates within the Earth and Marine Sciences Department's research infrastructure at the University of Palermo, contributing to regional risk assessment initiatives through field data collection, statistical modeling, and validation frameworks for geohazard prediction.

• Operations Management
• Supply Chain Management
• Risk Management
• +5 more

Nazaré Rego is an Assistant Professor of Management at the School of Economics and Management (EEG) and a member of NIPE - Center for Research in Economics and Management at the University of Minho. She has held administrative roles as Assistant Dean for International Accreditations and Director of the Master's in Management of Health Care Units. Her research integrates operations management and supply chain principles with applications in complex systems influenced by human behavior, networked structures, and risk. This work spans healthcare, shipbuilding, and cybersecurity contexts, published in journals like International Journal of Procurement Management and Heliyon . Current research trends emphasize digitalization, risk modeling, and network analysis in supply chains. She holds a PhD in Industrial Engineering and Management (2015), an MSc in Quantitative Methods in Management (2007), and a BA in Management (1992), all from the University of Porto. Her academic service includes coordinating courses across undergraduate to doctoral levels.

Hongyan Jenny LiView profile

Associate Professor

• Operations Research
• Management Science
• Data-Driven Operations Management
• +5 more

Hongyan Jenny Li is an Associate Professor at the Department of Economics and Business Economics, Aarhus University. Her research spans Operations Research , Management Science , and Data-Driven Operations Management , focusing on Supply Chain Management , Business Analytics , and Risk Management in Operations . She has taught courses at all academic levels and supervised multiple PhD projects.

Toma Ivanov TonchevView profile

Associate Professor

• Forest growth and yield
• Forest inventory
• Forest and forest land evaluation
• +2 more

Assoc. Prof. PhD Toma Ivanov Tonchev is affiliated with the University of Forestry in Sofia, Bulgaria, where he serves in the Faculty of Forestry 's Forest Management and Management department. His work focuses on quantitative forest analysis and sustainable management strategies. Position: Associate Professor Department: Forest Management and Management Email: ttonchev@ltu.bg Research Interests: Tonchev specializes in forest growth modeling , stand dynamics , and ecosystem management . His studies on site index tables , stem form analysis , and multi-function forest balancing contribute to sustainable forestry practices. His research spans diverse forest types including European beech , Macedonian pine , and Turkish pine ecosystems. Key Research Areas: Quantitative forest inventory methods Forest management planning tools Tree growth modeling and biometrics Conversion of coppice forests to high forests Multi-criteria forest function optimization Regional ecological assessments (Balkan Mountains, Eastern Rhodopes)

Martina JakovčićView profile

Professor

• Economic Geography
• Transport Geography
• Urban Geography
• +3 more

Martina Jakovčić is a Full Professor at the Department of Geography, Faculty of Science, University of Zagreb. Her work spans economic geography, transport geography, and urban geography, with a focus on cities' spatial structures and post-socialist transformations. Role Highlights : Head of Department (2017–2020), Vice-dean for International Cooperation (2020–present) Projects : Croatian-Austrian Bilateral Project on Brownfields, Interreg IIIC, Europe for Citizens, EU Intelligent Energy Fund initiatives Research Interests : Contemporary urban spatial changes, transport equity, brownfield regeneration, and geographic education. She explores how post-industrial and post-military sites reshape urban development, alongside studies on LGBTQ+ spaces and educational curricula in Europe. Articles : Recent works address urban non-places (e.g., Arena Centar), equity in fare zones, and pink consumption spaces, reflecting her expertise in urban consumption patterns and sustainable development. Teaching : Lecturer in charge for courses like Economic Geography and Transport Geography across undergraduate, graduate, and doctoral programs.

• Industrial Engineering
• Supply Chain Management
• Logistics Optimization
• +3 more

Prof. Roberto Montanari, a Full Professor at the University of Parma's Department of Systems Engineering and Industrial Technologies , has dedicated his career to advancing industrial engineering with a focus on supply chain logistics , food industry processes , and RFID technology . His work bridges simulation modeling and optimization for complex systems. PhD in Mechanical Engineering (University of Parma, 1999) Educational leadership in Industrial Plants , Food Industry Machinery , and Logistics Systems Research interests include logistics optimization , RFID-enabled supply chains , and food processing innovation . He pioneered ant colony algorithms for warehouse routing and CFD simulations for mixer design. His work spans WEEE management , food waste valorization , and smart city logistics . His 15+ recent publications demonstrate expertise in warehouse automation, perishable inventory control, and sustainable systems. Awards include BEST PAPER AWARD (MAS 2012) and XXI Summer School 'Francesco Turco' recognition. Director of interdepartmental center CIPACK (2014–present) Co-founder of academic spin-off FMB Engineering Innovation Erasmus+ Rector's Delegate (2018–present)

• Industrial Engineering
• Operations Management
• Lean Methodologies
• +7 more

Ana Dias Martins is an Adjunct Assistant Professor at Instituto Politécnico de Lisboa, affiliated with the Advertising and Marketing section. Her research spans industrial engineering, operations management, and innovation, with a focus on Lean methodologies, Agile frameworks, and sustainability in innovation ecosystems. She has published extensively on risk assessment, product development, and simulation modeling. Fields of Interest : Industrial Engineering, Lean Management, Product Development, Risk Assessment, Sustainability, Agile Methodologies, Simulation Modeling, Collaborative Networks, Six Sigma, and Digital Transformation Email : amartins@escs.ipl.pt Her recent work examines Industry 4.0 maintenance systems, Lean logistics, and socio-economic impacts of disease. She integrates TRIZ and Kano models for process optimization and develops frameworks for collaborative risk assessment in SMEs and logistics networks. Her publications highlight trends in open innovation , sustainable systems , and digital transformation , with subfields including Agile team allocation, fuzzy logic applications, and simulation-based decision support. She applies these methodologies across sectors like electrical systems, food industry, and naval operations.

Rudrajeet PalView profile

Professor

• Operations & Supply Chain Management
• Circular Economy
• Industrial Resilience
• +5 more

Rudrajeet Pal is a Professor at the Department of Business Administration and Textile Management, University of Borås, specializing in textile value chains. His research integrates operations & supply chain management with business model innovation to address industrial resilience and sustainability challenges in the textiles, apparel, and fashion sectors. He holds a PhD in Engineering Science from Tampere University of Technology and has been affiliated with the University of Borås since 2009.

• Machine Learning
• Deep Learning
• Medical Informatics
• +3 more

Nasmin Jiwani is a Research Scholar with 56 publications, an h-index of 20, and 921 total citations. Her academic work spans interdisciplinary applications of machine learning and deep learning techniques across medical diagnostics, cybersecurity, and IoT systems. Her research focuses on Medical Informatics where she develops AI-driven diagnostic tools for liver disease prediction, diabetic retinopathy classification, and acute lymphoblastic leukemia detection. In Cybersecurity , she pioneers image-based malware classification using deep learning architectures. Her IoT Systems research includes supply chain optimization and smart security applications. Recent work shows increasing emphasis on healthcare technology integration, particularly in cancer diagnostics and autism spectrum disorder analysis. Collaboration patterns indicate strong partnerships with Ketan Gupta (30 co-authored papers), J. Logeshwaran, and Neda Afreen across IEEE conferences and journals. Her publication trajectory demonstrates consistent output with 10+ papers annually since 2022, showing particular strength in translating theoretical machine learning models to practical healthcare and security applications.