Find Academic Supervisors

Terri S. HogueView profile

Professor

• Hydrology
• Water Resources Management
• Land Surface Processes
• +9 more

Terri S. Hogue is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines, where she also serves as Dean of Earth and Society Programs and Director of the Center for a Sustainable WE 2 ST. Her work bridges engineering, hydrology, and environmental sustainability, with a strong focus on semi-arid regions. Education: PhD in Hydrology and Water Resources, University of Arizona, 2003 MS in Hydrology and Water Resources, University of Arizona, 1998 BS in Geology, University of Wisconsin-Eau Claire, 1995 Her research focuses on hydrologic and land surface processes, particularly in the context of water resource management, climate variability, urbanization, and natural hazards. She integrates field observations, remote sensing, and modeling to study catchment responses to wildfires, urban development, and climate change. Her work emphasizes improving hydrologic forecasts and understanding human-environment interactions in water-limited systems. The 15 most recent publications highlight consistent themes in hydrologic modeling, remote sensing applications, evapotranspiration estimation, post-wildfire hydrology, and urban water systems. Her research spans both observational and computational methods, with strong applications to real-world water management challenges in the western U.S. Scientific Awards and Honors: NSF Faculty Early Career Development (CAREER) Award, 2009 NSF Fellowship Trainee Award (multiple years) NASA Earth Observing System (EOS) Graduate Fellowship, 2001–2002 AMS Journal of Hydrometeorology Editor’s Award, 2011 UCLA Professor of the Year (2004, 2007, 2010) Appointment to National Academy of Sciences Board on Atmospheric Sciences and Climate, 2013 AMS Science and Policy Colloquium Fellowship, 2002 Multitude of scholarships and fellowships from NASA, NSF, and professional societies Dr. Hogue has been actively involved in advising and research leadership through her Hogue Research Group and the Center for a Sustainable WE 2 ST. She has secured significant grants, including the NSF CAREER Award, and contributes to national science policy through service on the AGU Hydrology Section and the National Academy of Sciences. Her work emphasizes interdisciplinary collaboration, data-driven modeling, and sustainable solutions for water-stressed regions. She leads the Hogue Research Group and the Center for a Sustainable WE 2 ST, both of which focus on integrated water, energy, and environmental systems. These teams bring together engineers, hydrologists, and environmental scientists to tackle pressing sustainability challenges through research, education, and policy engagement.

• Sustainable Tourism
• Event Tourism
• Health Services and Tourism
• +6 more

Dr. Joanne Connell is Associate Professor in Sustainability and Tourism at the University of Exeter Business School, where she serves as Director of Postgraduate Research and Programme Manager for the Master's degree in International Tourism Management. With a career spanning over a decade since joining in 2011, she operates at the intersection of sustainability, inclusivity, and health in tourism contexts. Key roles: Director of Postgraduate Research, Programme Manager for MA International Tourism Management Collaboration networks: Alzheimer’s Society, Historic Royal Palaces, National Trust Research themes: Age-friendly tourism, Cognitive impairment accommodations, Sustainable tourism Major publications: Co-editor of Tourism: A Modern Synthesis (5th ed) and The Routledge Handbook of Events Research Focus Her interdisciplinary research bridges tourism, health, and business engagement. Notable projects include the £1.9m UKRI-funded ENLIVEN project (2022-2024) examining nature-based therapies for elderly with cognitive impairments, and development of dementia-inclusive guides for tourism businesses and heritage sites. She has contributed extensively to understanding: Sustainable tourism frameworks Ageing visitor economy challenges Accessibility in heritage and natural sites Business strategies for older demographics Leisure geography in modern societies Interdisciplinary event studies Publication Legacy As co-editor of the seminal Routledge Handbook of Events (2nd ed, 2024) and author/editor of 10+ books, her work spans: Event studies methodology Tourism-health intersections Leisure sociology Urban event planning Knowledge transfer in tourism Policy development for inclusive tourism

• Disaster Medicine
• Emergency Medicine
• Mass Gathering Medicine
• +3 more

Andrew M Milsten serves as Professor in the Department of Emergency Medicine at UMass Chan Medical School, specifically within the T.H. Chan School of Medicine and Division of EMS/Disaster. His work bridges clinical emergency medicine with large-scale disaster response systems. His educational foundation includes a BA in Biology from Bucknell University, an MS in Emergency Health Services from the University of Maryland Baltimore, and an MD from George Washington University. Milsten's research centers on disaster behavioral science and mass gathering medicine , with signature studies analyzing injury patterns at NHL/MLB games, marathons, and concerts. His recent work explores augmented reality applications for field procedures and ethical frameworks for hospital active shooter incidents. He has significantly contributed to disaster medicine standardization through the 2023 Model Core Content development. Publication trends reveal a strategic evolution from foundational mass gathering epidemiology (2000-2010) toward behavioral disaster science and technological integration (2020-2024), primarily in Prehospital and Disaster Medicine and similar journals. Fellow of the American College of Emergency Physicians (FACEP) Through his Division of EMS/Disaster affiliation, Milsten collaborates with national bodies like the National Association of EMS Physicians to shape position statements and resource documents. His research consistently informs operational guidelines for event medical planning and disaster response protocols. He maintains active leadership in disaster medicine education and operational research within UMass Chan's emergency medicine infrastructure.

Richard SegallView profile

Professor

• Data Mining
• Text Mining
• Web Mining
• +6 more

Dr. Richard Segall is a Professor in the Department of Information Systems and Business Analytics at Arkansas State University , affiliated with the Beck College of Sciences & Mathematics . He is also affiliated faculty in the Master of Engineering Management (MEM) Program , the Environmental Sciences Program , and serves on thesis committees at the University of Arkansas at Little Rock (UALR) . Education: Ph.D. in Operations Research, University of Massachusetts at Amherst (1984) M.S. in Operations Research and Statistics, Rensselaer Polytechnic Institute (1975) M.S. in Mathematics, Rensselaer Polytechnic Institute (1973) B.S. in Mathematics, Rensselaer Polytechnic Institute (1971) Dr. Segall's research spans data mining, text mining, web mining, big data analytics, bioinformatics, supercomputing applications, and mathematical modeling . His work bridges business analytics and computational biology , with a focus on transdisciplinary applications in agriculture, healthcare, and space systems. His recent publications emphasize genomic data analysis , plant disease diagnostics , AI-driven healthcare solutions , and space technology forecasting . The integration of machine learning , data visualization , and open-source tools is a recurring theme across domains. Scientific Awards & Grants: Three research awards from the National Research Council (NRC) Software grants from Oracle Corporation and SAS Institute, Inc. Dr. Segall has served on the editorial boards of the International Journal of Data Science , International Journal of Data Mining, Modelling and Management , and International Journal of Fog Computing . He previously contributed to the Arkansas Center for Plant-Powered Production (P3) and currently participates in the Center for No-Boundary Thinking (CNBT) .

Stephen RoweView profile

Associate Professor

• Auditing
• Financial Reporting
• Accounting Information Systems
• +3 more

Stephen Rowe serves as an Associate Professor in the Accounting Department at the Walton College of Business, University of Arkansas. With extensive industry experience including nine years at KPMG culminating as Audit Manager, he maintains an active CPA license in Washington State while teaching intermediate accounting at graduate and undergraduate levels. His scholarly work focuses on auditing and financial reporting, published in premier journals including The Accounting Review and Review of Accounting Studies . Rowe holds a PhD from the University of Illinois at Urbana-Champaign, a Master's degree from Loyola University Chicago, and a Bachelor's degree from Covenant College. His educational journey bridges rigorous academic training with practical industry experience, informing his teaching approach that emphasizes conceptual understanding through real-world case studies. Research interests span auditing quality, financial reporting practices, and capital market interactions. Recent investigations examine index fund ownership effects, auditor switching dynamics, and media influence on audit markets. His methodological toolkit combines traditional econometric analysis with machine learning techniques, particularly evident in predictive models for auditor behavior. Rowe's work consistently addresses regulatory concerns while exploring market-driven phenomena in accounting ecosystems. Analysis of his publication trajectory reveals increasing focus on market-based audit quality indicators, with growing emphasis on passive investing impacts and regulatory compliance mechanisms. The 2021-2025 period shows heightened attention to technological disruption (machine learning applications) and non-traditional monitoring forces (media scrutiny, index fund activism) within audit markets. Professional recognition includes multiple teaching awards and extensive litigation support consulting engagements. Rowe leverages his expertise as a founding member and CFO of White River Capital Advisors LLC (2020-present), providing expert witness services that connect academic research with real-world accounting disputes. His industry background enables practical translation of complex accounting concepts for diverse audiences. Rowe maintains active engagement with professional practice through ongoing litigation consulting since 2016 and continuous CPA licensure. His balanced commitment to academic rigor and professional relevance exemplifies the practitioner-scholar model, with research directly addressing contemporary challenges in financial reporting and auditing ecosystems.

Akash SrivastavaView profile

Researcher

• Generative Models
• Neuro-Symbolic AI
• Reinforcement Learning
• +4 more

Akash Srivastava is a Research Scientist and Principal Investigator (PI) at the MIT-IBM Watson AI Lab in Cambridge, MA, and Chief Architect of Large Language Model Alignment at IBM Research. His work focuses on generative modeling , Bayesian inference , and machine learning for constrained engineering design . He previously conducted PhD research at the University of Edinburgh under Dr. Charles Sutton and Dr. Michael U. Gutmann on variational inference for generative models using deep learning. His research spans Neuro-Symbolic AI , Language Model Alignment , and Synthetic Data Generation , with applications in 3D modeling , urban logistics , and material science . Recent publications highlight advancements in diffusion models , continual learning , and privacy-preserving data synthesis . As a PI, he collaborates with MIT faculty like Prof. Faez Ahmed and Prof. Rafael Gomez-Bombarelli on projects such as generative modeling for mechanical systems , synthetic data in decision-making , and greener delivery networks . He has received funding through a DARPA grant for machine common sense research.

Kristian SevdariView profile

Research Fellow

• Electric Vehicle Grid Integration
• Vehicle-to-Grid Systems
• Renewable Energy Integration
• +6 more

Kristian Sevdari is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He was born in Kucove, Albania, in 1995, and holds a B.Sc in electrical engineering from the Polytechnic University of Tirana (2016), an M.Sc from UiT Norges arktiske universitet, Norway (2020), and a Ph.D. from DTU (February 2024). Since 2020, he has been working at DTU on multiple projects including Solar-Move, AHEAD, FLOW, EV4EU, ACDC, and FUSE. His research focuses on renewable energy integration and electric vehicle grid integration, with specific expertise in vehicle-to-grid systems, power system dynamics and stability, prosumers and flexible demand, wind power integration, and smart grid technologies. His work contributes to UN Sustainable Development Goals related to sustainable energy and climate action. Dr. Sevdari's recent publications demonstrate a strong trend toward solving practical challenges in EV-grid integration, with emphasis on bidirectional charging technologies, harmonics analysis, battery second-life applications, and smart charging strategies for residential and urban environments. His research bridges theoretical control approaches with experimental validation across multiple European contexts. Best paper award at 2024 IEEE Transportation Electrification Conference & Expo Best paper award of the IEEE PES ISGT-Europe 2021 conference As a supervisor, he has guided multiple Master's theses on topics including telematics integration for EV cost reduction, open charge point protocol implementation, vehicle-to-grid testing, and compatibility testing for EV ecosystems. He is actively involved in the IEEE PES Task Force on electric vehicle grid integration and IEA Task 53, and is the founder of IEEE REST conferences, Qendra SUSALB, and EkoVolt.

Jan EngelhardtView profile

Assistant Professor

• Electric Vehicle Systems
• Battery Energy Storage
• Power System Integration
• +4 more

Jan Engelhardt serves as Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in e-mobility and prosumer integration within power and energy systems. His work directly contributes to UN Sustainable Development Goals through grid modernization and renewable energy integration. His research focuses on electric vehicle-grid integration , with core expertise in battery energy storage systems, DC microgrids, and virtual power plants. Key investigation areas include smart charging architectures for EV clusters, frequency response services, phase balancing techniques, and V2X management strategies. His experimental approach combines theoretical modeling with real-world validation of control systems for enhanced grid stability. Recent publications demonstrate a clear trend toward distributed control solutions for electric vehicle clusters, emphasizing user-centric scheduling while providing grid services. His work increasingly incorporates experimental validation of frequency control architectures and explores high-power reconfigurable battery applications for fast-charging infrastructure. Dr. Engelhardt actively supervises PhD candidates on projects including Hybrid Energy Solutions (EV charging and battery storage synergies) and Provision of Grid Services through EV Aggregation. He participates in major EU initiatives like EV4EU (Electric Vehicles Management for Carbon Neutrality in Europe) and GREAT (GRid Enhancement for Ancillaries in Tomorrow’s power systems), securing substantial research funding through Horizon Europe frameworks.

Ulrich W. ThonemannView profile

Professor

• Supply Chain Management
• Optimization
• Information Systems
• +5 more

Prof. Ulrich W. Thonemann is a Full Professor and Director of the Department of Supply Chain Management & Management Science at the University of Cologne's Faculty of Management, Economics and Social Science. Since 2019, he has served as Dean of the Faculty and President of the University of Cologne Executive School since 2018. His research spans Supply Chain Management Optimization Behavioral Operations Information Systems . His recent work focuses on Incentive systems for forecast sharing Behavioral inventory metrics Contract design for newsvendor problems Demand information sharing Capacity rationing . He has served on the scientific advisory board of Bundesvereinigung Logistik and as Associate Editor for Production and Operations Management . Scientific Awards: Terman Fellow (1999-2000) Anderson Faculty Scholar (1998-2000) Outstanding Academic Achievements at Stanford (1992) Contact: ulrich.thonemann@uni-koeln.de | Research Group Website

Jonathan M. RosenbergView profile

Professor

• K-theory
• Noncommutative Geometry
• C*-algebras
• +7 more

Jonathan M. Rosenberg is a Professor of Mathematics at the University of Maryland, where he holds the Ruth M. Davis Professorship. His career spans several decades with significant contributions across multiple mathematical disciplines. He maintains active involvement in departmental activities including the Geometry/Topology Seminar, Algebra/Number Theory Seminars, Departmental Colloquium, and Geometry and Physics RIT. Rosenberg's research focuses on the deep connections between topology, geometry, and mathematical physics. His primary interests include K-theory, noncommutative geometry, C*-algebras, index theory of elliptic operators, and positive scalar curvature problems. His work bridges pure mathematics with theoretical physics, particularly in string theory applications. His research has evolved to address increasingly sophisticated questions in manifold theory, pseudomanifolds, and their connections to physical theories. His recent publications show a continued focus on positive scalar curvature problems across various geometric settings including spin c manifolds, pseudomanifolds, and manifolds with boundary. Rosenberg also maintains active collaborations with leading mathematicians like Boris Botvinnik, Varghese Mathai, and others, producing work that connects topology with mathematical physics through T-duality and related concepts. His publications span prestigious journals including Journal of Geometry and Physics, Communications in Mathematical Physics, and Advances in Theoretical and Mathematical Physics. Fellow of the American Mathematical Society Ruth M. Davis Professorship at University of Maryland Co-editor of influential volumes including "Novikov Conjectures, Index Theorems and Rigidity" Author of the graduate textbook "Algebraic K-Theory and its Applications" Principal speaker at multiple NSF/CBMS Regional Conferences Rosenberg serves on editorial boards of several prominent journals including Annals of K-Theory (as Managing Editor Emeritus), Journal of Topology and Analysis (as Managing Editor), Homology Homotopy and Applications, SIGMA, and The New York Journal of Mathematics. He previously served as Secretary of the K-Theory Foundation from 2010 to 2021. His teaching responsibilities span undergraduate courses including Calculus and Differential Equations to advanced graduate courses in K-theory, Homotopy Theory, and Noncommutative Geometry. He has maintained the Novikov Conjecture home page and the UMCP Math Department electronic journals web page as significant service contributions to the mathematical community.

• Pneumonia
• Clinical Decision-Making
• Medical Informatics
• +3 more

Dr. Barbara E. Jones serves as an Associate Professor in the Department of Internal Medicine at the University of Utah School of Medicine, with dual appointments in Pulmonary and Critical Care Medicine. Her clinical practice spans diverse healthcare settings within the Veterans Affairs system and academic medical centers, focusing on evidence-based adaptation of care to varied patient populations. Her educational background includes: M.D. from University of Washington School of Medicine B.A. in Philosophy from Dartmouth College Master of Science in Clinical Investigation (M.S.C.I) from University of Utah Postdoctoral Fellowship in Pulmonary and Critical Care Medicine at University of Utah Residency in Internal Medicine at University of Utah Dr. Jones' research centers on decision-making processes in pneumonia diagnosis and treatment, employing a tripartite informatics approach combining population analytics, cognitive behavior analysis, and clinical decision support systems. Her work specifically targets reducing diagnostic uncertainty and treatment variation across healthcare systems, with emphasis on equitable care delivery for diverse patient populations. Current projects investigate diagnostic discordance in community-acquired pneumonia, electronic surveillance for hospital-acquired infections, and machine learning applications for diagnostic error detection. Analysis of her 15 most recent publications reveals consistent focus on pneumonia management systems, with emerging emphasis on pandemic impacts on diagnostic practices and AI-driven quality improvement. Her work predominantly utilizes large VA healthcare datasets spanning 100+ medical centers, featuring mixed-methods approaches that integrate quantitative analytics with qualitative clinician experience assessment. Dr. Jones actively contributes to clinical guideline development and medical education through editorial work in major journals including Chest and Annals of Internal Medicine , where she frequently addresses controversies in pneumonia diagnosis and antibiotic stewardship. Her research program operates at the intersection of the University of Utah Health system and the Veterans Affairs national healthcare network, leveraging electronic clinical decision support implementations across diverse hospital settings including rural and critical access facilities. Current initiatives focus on real-time feedback systems for diagnostic performance improvement and automated surveillance for healthcare-associated infections.

Eleni StaiView profile

Assistant Professor

• Optimization
• Communications Networks
• Data Analytics
• +4 more

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.

Chi JinView profile

Researcher

• Urban sociology
• Urban geography
• Housing Studies
• +6 more

Chi Jin is a Researcher in Sociology at the John F. Kennedy Institute, Department of Sociology, Freie Universität Berlin since March 2024, supervised by Prof. Sebastian Kohl. Concurrently, Jin is completing a PhD in Housing Systems at Delft University of Technology (expected April 2025) under Prof. Peter Boelhouwer, with prior industry experience at Shimao Real Estate in Shenzhen. Education: PhD in Housing Systems, Delft University of Technology, Netherlands (2020-2025) MS in Architecture and Civil Engineering, Chongqing University, China (2015-2018) BS in Engineering Management, Yangtze University, China (2011-2015) Research spans urban sociology, housing studies, migration, behavioral economics, and sustainable development, with focus on young talents' housing and migration decisions in Chinese metropolises. Jin integrates sociological, geographical, and economic perspectives to analyze residential mobility, satisfaction, and urban policy impacts, particularly in Shenzhen. Publications reveal consistent interdisciplinary focus on Chinese urban dynamics, housing systems, and talent migration. Recent work extends to sustainable small-town development using big data and city attribute effects on student retention, demonstrating methodological evolution from behavioral economics to spatial analytics while maintaining China-specific urbanization themes. Academic service includes coordinating the ENHR Conference 2024 and Sustainable Housing Summer School 2023, plus reviewing for Cities, Journal of Housing and the Built Environment, and International Journal of Housing Policy.

Alton RussellView profile

Assistant Professor

• Decision analysis
• Cost-effectiveness analysis
• Simulation modeling
• +4 more

Alton Russell is an Assistant Professor at the Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University. He serves as an Affiliate Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) and is affiliated with the Quantitative Life Sciences program. His research focuses on data-driven decision modeling to optimize healthcare resource allocation through methods in decision analysis, simulation, health economics, and machine learning. PhD in Management Science and Engineering (2021), Stanford University MSc in Management Science and Engineering (2018), Stanford University BSc in Industrial Engineering (Health Systems concentration) and Interdisciplinary Studies (Global Health and Sustainability concentration) (2014), North Carolina State University Russell's research program develops advanced models for blood safety, pediatric kidney disease management, opioid crisis interventions, and infectious disease surveillance. His lab (D3Mod) integrates individual-level data with machine learning and Bayesian statistics to address heterogeneity in patient populations and policy impacts. His work emphasizes open science practices, with publications and code archived via DOIs. Current research themes include personalized donor risk assessment, emergency service optimization, and harmonization of serosurveillance data. Russell teaches advanced decision modeling (EPIB 676) and economic evaluation of health programs (PPHS 528) at McGill.

• Manufacturing Management
• Production Planning
• Production Control
• +14 more

Maria Leonilde Rocha Varela is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where she also serves as a Senior Researcher at the Algoritmi Research Centre. She has been an integrated member of the Algoritmi Research Centre since 2012 and works in the Department of Production and Systems. Dr. Varela earned her degree in Production Engineering from the University of Minho in 1994, completed a Master's in Computer Integrated Production at DPS-UMinho in 1999, and received her Ph.D. in Production and Systems from the University of Minho in 2007. Her primary research focuses on Manufacturing Management, particularly Production Planning, Control and Optimization, and Collaborative Paradigms, Networks and Decision Making Models. She maintains extensive international collaborations with institutions worldwide including the National Institute of Industrial Engineering, VSB-Technick Univerzita Ostrava, University of Belgrade, and others. Her research spans Web Applications and Services for supporting Engineering and Production Management, with increasing emphasis on Artificial Intelligence, Robotic Process Automation, and Industry 4.0/5.0 applications. She has made significant contributions to scheduling algorithms, optimization techniques, and decision support systems for manufacturing environments. Analysis of her recent publications reveals a strong trend toward integrating Artificial Intelligence with traditional manufacturing processes, particularly in Robotic Process Automation applications. Her research increasingly focuses on sustainable manufacturing practices, with numerous publications addressing energy efficiency, environmental sustainability, and resource optimization. There is a clear emphasis on multi-objective optimization approaches to solve complex manufacturing problems, particularly in distributed job shop scheduling. Her work demonstrates an evolution from traditional production planning methods to more advanced AI-driven approaches for Industry 4.0 and 5.0 environments. Dr. Varela has held significant academic leadership roles, currently serving as the director of the master's course in Engineering and Quality Management at DPS-UMinho. She previously coordinated the industrial management and systems subgroup from 2012 to 2021 and was part of the steering committee for the master's course in systems engineering between 2016 and 2019. She has successfully supervised more than 70 MSc projects, with over 15 currently ongoing, focusing on Production and Systems Engineering. Her supervision encompasses collaborative management models, traditional decision approaches, and web-based platforms incorporating AI techniques. She coordinates research projects including 2 concluded Ph.D. projects and 6 ongoing ones. She collaborates as a research member in several R&D projects with national and international industrial enterprises and institutions, and in international Erasmus projects. Dr. Varela is an active participant in the academic community, serving on editorial boards of several international journals and as a member of organizing and scientific committees for numerous international conferences. She is a member of several prestigious research networks including the Euro Working Group of Decision Support Systems (EWG-DSS), Institute of Electrical and Electronics Engineers (IEEE), Industrial Engineering Network, and the Institute of Industrial and Systems Engineers (IISE).