Find Academic Supervisors

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +3 more

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

• Robotics
• Control Systems
• Nuclear Fusion Engineering
• +5 more

Alberto Vale is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Lisbon's Instituto Superior Técnico. His research focuses on robotics, control systems, nuclear fusion engineering, and autonomous systems. He is affiliated with the Institute of Plasmas and Nuclear Fusion and teaches courses such as Control of Cyber-Physical Systems and Autonomous Systems . His work emphasizes remote maintenance systems for nuclear facilities, radiation detection technologies, and mobile robotics applications. Research interests include: Advanced control strategies for cyber-physical systems Development of autonomous systems for nuclear fusion facilities Radiation detection and localization using drones and mobile robots Path planning and navigation in constrained environments Recent publications highlight innovations in fusion diagnostics (e.g., reflectometry systems for DEMO), LIDAR-based SLAM techniques, and optimization of autonomous fleets for solar farm inspection. He has received the EDA Research, Technology, and Innovation Papers Award 2023 and the Best Presentation Award .

Ingmar IckerottView profile

Professor

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +3 more

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

• Marketing Management
• Retail Trade
• Sales Management
• +3 more

Jan Mikołajczyk is a Professor at the Department of Commerce and Marketing, University of Economics in Poznan. His roles include Rektor's Delegate for Open Classes, Director of the 'Marketing in Practice' Postgraduate Studies Program, and Member of the UEP Electors' College. He is actively involved in professional organizations, serving as a member of the Polish Economic Society and the Foundation Council. His research focuses on marketing management, retail trade dynamics, and sales strategies. Key areas of inquiry include neuromarketing applications in e-commerce, promotional effectiveness in niche markets, and the role of non-commercial services in enhancing shopping center appeal. His work also explores culinary tourism development and strategic distribution channel optimization. Recent publications analyze Zalando SE's consumer behavior patterns, martial arts school promotional strategies, and Lech Poznan's social media marketing. Earlier studies examined retail innovation in petrol stations and critical factors influencing shopping center attractiveness among student populations. While no scientific awards are listed, his contributions to marketing education are notable through his leadership in postgraduate programs and his involvement in shaping academic standards for management-related theses.

Pascal HitzlerView profile

Professor

• Neuro-Symbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +4 more

Pascal Hitzler is the University Distinguished Professor and endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science within the Carl R. Ice College of Engineering. He serves as Director of the Center for Artificial Intelligence and Data Science (CAIDS) and Director (Research) of the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, including NCR Distinguished Professor and Director of Data Science. His academic journey includes a PhD in Mathematics from University College Cork (2001) and a Diplom in Mathematics from the University of Tübingen (1998). Affiliations: Kansas State University (2020–present), Wright State University (2009–2020), University of Karlsruhe (2004–2009), TU Dresden (2001–2004). Education: PhD in Mathematics (2001, UCC Cork), Diplom in Mathematics (1998, Tübingen). His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology modeling. Key contributions include founding editorships of the Neurosymbolic Artificial Intelligence and Semantic Web journals, co-authoring the Foundations of Semantic Web Technologies textbook, and pioneering ontology design patterns. His work emphasizes semantic web standards like OWL and integrates explainable AI with deep learning. Recent articles explore neuro-symbolic integration, geospatial knowledge graphs (KnowWhereGraph), and explainable AI through concept induction. He has received awards such as the SWSA Ten-Year Award (2020) and is a highly cited researcher in artificial intelligence. Grants and collaborations span digital agriculture, cybersecurity (K-CaTS), and interdisciplinary initiatives like the NSF-funded Global Food Systems Datahub. His DaSe Lab develops advanced semantic technologies, with projects including the Enslaved.org hub ontology and crisis management frameworks (HIP Ontology). Labs/Teams: Director of the DaSe Lab for Data Semantics, leading projects on knowledge graphs, neuro-symbolic AI, and geospatial data integration. Collaborates with institutions like the University of Notre Dame, Jönköping University, and IOS Press.

HADJINICOLAS GEORGEView profile

Professor

• Production-Marketing Interface
• International Manufacturing/Operations Management
• Serial Production Systems
• +3 more

Professor HADJINICOLAS GEORGE holds a faculty position at the University of Cyprus, Department of Business Administration and Public Administration under the School of Economics and Management. His research focuses on production-marketing interface, international manufacturing systems, and product positioning methods. He earned a Ph.D. in Business Administration (Operations Management) from the University of Southern California in 1993, preceded by MS degrees in Statistics (1990) and Computer Engineering (1989), and a BS in Electrical Engineering (Cum Laude, 1988). His research interests emphasize optimizing production systems through interdisciplinary approaches, integrating marketing and operational decisions. Key themes include cost reduction in serial production systems, resource allocation for service quality, and strategic product positioning using advanced analytics like self-organizing maps. His publication trends reflect sustained contributions to operations management and decision sciences, with notable work on journal evaluation metrics and production-marketing interface challenges. Over two decades, his research has addressed both theoretical frameworks (e.g., asymptotic distribution analysis) and practical applications (e.g., hotel service optimization). He has advised numerous studies on manufacturing systems and marketing strategies, though specific student names are not listed here. His work bridges engineering and business disciplines, addressing global operational challenges through quantitative methodologies.

• Multi-scale Modeling
• Powder Forging
• Mechanical Engineering
• +6 more

Mr. Yi Wang is a researcher at the Department of Mechanical Engineering, Imperial College London, specializing in Multi-scale Modeling of Powder Forging and related fields. His work bridges mechanical engineering, energy systems, and artificial intelligence. University: Imperial College London Department: Department of Mechanical Engineering Research Interests include electric vehicle-grid integration, microgrid resilience, reinforcement learning applications in energy systems, and multi-energy network optimization. His publications emphasize AI-driven strategies for low-carbon transitions and grid stability. Email: yi.wang12@imperial.ac.uk

Robert BrayView profile

Associate Professor

• Operations Management
• Supply Chain Management
• Dynamic Programming
• +5 more

Robert Bray is an Associate Professor of Operations Management at the Kellogg School of Management, Northwestern University, where he has held the Donald P. Jacobs Scholar position since 2012. He holds a B.S. in Industrial Engineering and Operations Research from UC Berkeley (2006) and a Ph.D. in Business Administration from Stanford University (2012). His research focuses on dynamic programming, supply chain management, and empirical operations, with notable contributions to understanding the bullwhip effect, supply chain proximity, and inventory dynamics. He has served as an associate editor for Operations Research , Manufacturing & Service Operations Management , and Management Science . His work has received multiple recognitions, including the MSOM Meritorious Service Award and finalist nominations for top operations journals. He teaches advanced courses on dynamic program estimation and operations analytics. Research interests span empirical operations management, with particular emphasis on supply chain coordination, inventory control, and the application of econometric methods to operations problems. His recent work explores the interplay between operational transparency and customer satisfaction, as well as the impact of AI in educational settings. He has published over 20 peer-reviewed articles in top journals like Operations Research and Management Science , addressing topics ranging from judicial process optimization to automotive supply chain quality. Dr. Bray's academic service includes refereeing for leading journals and participation in initiatives such as the Chicago-Argonne Initiative for Computational Economics. His professional experience includes roles as a lecturer at Stanford and consulting engagements with firms like Intel and Restoration Hardware. His research consistently bridges theoretical rigor with practical applications, offering actionable insights for operational efficiency and strategic decision-making.

• Green Logistics
• Operational Research
• Artificial Intelligence
• +12 more

Emrah Demir is a Professor of Operational Research in the Department of Logistics and Operations Management at Cardiff Business School, Cardiff University . Prior to this, he was an Assistant Professor at Eindhoven University of Technology, Netherlands. He holds a PhD in Management Science from the University of Southampton and degrees in Industrial Engineering from Baskent University, Turkey. Education: PhD in Management Science, University of Southampton, UK (2012) MSc in Industrial Engineering, Baskent University, Turkey (2008) BSc in Industrial Engineering, Baskent University, Turkey (2005) His research centers on green logistics, artificial intelligence, human/AI collaborative decision-making, and operational research , with a focus on optimizing freight transportation and supply chains for sustainability. He applies quantitative and analytical methods—including exact and heuristic optimization techniques—to address real-world logistics challenges. His recent work explores AI-driven routing, drone and robot delivery, maritime emissions, and behavioral aspects of algorithm adoption. The analysis of his recent publications reveals a strong integration of AI, sustainability, and logistics optimization . Key themes include last-mile delivery with autonomous systems, green vehicle routing, maritime decarbonization, and human-AI collaboration in decision-making. His work spans both theoretical modeling and practical applications in industry contexts, particularly with Ocado and in international sustainability initiatives. Scientific Contributions and Editorial Roles: Area Editor, Journal of Heuristics (Logistics and Supply Chain Management) Associate Editor, IMA Journal of Management Mathematics Associate Editor, Frontiers in Future Transportation – Freight Transport and Logistics Associate Editor, OR Spectrum Associate Editor (Engineering), Arabian Journal for Science and Engineering (from 2025) He has secured multiple external grants, including from the Colombia-UK PACT Programme (GIRO-ZERO) and Ocado Group plc , focusing on decarbonizing freight and optimizing supply chains. He supervises several PhD students on topics such as driver behavior, AI collaboration, and greenhouse gas emissions in shipping. He has held academic leadership roles including Programme Director for the MSc in Logistics and Operations Management and Deputy Head of Section for Learning & Teaching. Research Labs and Teams: He is affiliated with the Logistics and Systems Dynamics Group (LSDG) , Co-Director of the PARC Institute of Manufacturing, Logistics and Inventory , and Director of the Business & Economics Artificial Intelligence Research (BEAR) Network , reflecting his interdisciplinary engagement in AI, logistics, and sustainable operations.

• Operations Management
• Logistics and Supply Chain Management
• Transportation Planning
• +3 more

Joyce LOW Mei Wan is a Full-time Assistant Professor of Operations Management specializing in education at the Lee Kong Chian School of Business, Singapore Management University. Her academic career began with a Ph.D. in Industrial & Systems Engineering from the National University of Singapore (2008). She has held her current position since 2012, following earlier roles in the same institution. Her research focuses on operations management , logistics and supply chain optimization , and transportation planning . Her work addresses critical issues in port efficiency, intermodal freight systems, airport cargo dynamics, and network economics across Asia-Pacific regions. Her scholarly contributions span 13 refereed journal articles and book chapters since 2006, emphasizing network analysis in transportation systems and supply chain integration . Key themes include port choice behavior, hub status assessment, and efficiency-cost tradeoffs in major East Asian ports and airports. No scientific awards or grants are explicitly listed in her profile. She advises no named students in the provided text.

• Machine Learning
• Kernel Methods
• Model Selection
• +11 more

Gavin Cawley is a Professor in the School of Computing Sciences at the University of East Anglia (UEA), with additional affiliations to the Data Science and AI group, the Centre for Ocean and Atmospheric Sciences, and the Statistics group. His research spans machine learning, bioinformatics, climate modeling, and environmental data analysis. His primary research interests include Machine Learning , Kernel Methods , Model Selection , Bayesian Regularization , Bioinformatics , and Climate Modeling . He has made significant contributions to understanding overfitting in model selection, sparse logistic regression for gene and cancer classification, and time series classification using ensemble methods. His work bridges theoretical machine learning with practical applications in biology, archaeology, and environmental science. The recent trend in his publications shows a strong interdisciplinary focus, combining machine learning with climate science (e.g., Arctic sea ice prediction) and molecular biology (e.g., protein domain movements). His work often involves developing and evaluating statistical models for complex real-world problems, emphasizing robustness, interpretability, and predictive accuracy. While no specific awards are listed in the provided text, his extensive publication record in top journals such as Journal of Machine Learning Research , Bioinformatics , and Neural Networks , along with high citation counts (e.g., over 1,800 citations for his 2010 paper on overfitting), indicates significant recognition in the academic community. He has also contributed to organizing major machine learning challenges, such as the ChaLearn AutoML and Active Learning challenges. He has supervised or collaborated with numerous researchers across disciplines, though specific student names are not listed. His work involves methodological development in model selection, kernel learning, and survival analysis, often applied to biological and environmental datasets. He has been involved in projects related to predictive uncertainty, ozone forecasting, and microbial growth modeling. While no specific lab or team name is mentioned, his affiliations with the Data Science and AI group and the Centre for Ocean and Atmospheric Sciences suggest active participation in interdisciplinary research teams focused on data-driven environmental and biological modeling.

Lars HvamView profile

Professor

• Engineering Design
• Product Configuration
• Mass Customization
• +7 more

Lars Hvam is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he specializes in Engineering Design and Manufacturing Systems. His research is deeply rooted in product configuration, modular architectures, and mass customization, with applications across diverse industries including naval engineering, logistics, and jewelry manufacturing. Research Interests: His work focuses on improving engineering processes through digital tools such as configurators and digital twins. Key areas include product architecture, systems engineering, logistics service design, and data-driven optimization of manufacturing systems. He actively explores how configurators can extend product offerings into services and enhance operational efficiency. Publication Trends: His recent articles (2025) highlight a strong emphasis on practical applications of configuration systems, decision modeling in engineer-to-order environments, and the integration of augmented reality with digital twins for operator training. These works span disciplines such as industrial engineering, computer science, and supply chain management, reflecting an interdisciplinary approach. Scientific Contributions: While specific awards are not listed, his extensive publication record and leadership in major research projects underscore his impact in the field. Advising and Grants: He supervises several PhD students in projects related to modular architecture, logistics, and configurator implementation. His team is involved in both active and completed research initiatives, indicating sustained funding and academic leadership. Labs and Research Teams: He collaborates closely with Professor N. H. Mortensen and other researchers within DTU’s engineering design group, contributing to a robust research network focused on industrial problem-solving and innovation.

• Forest Engineering
• Timber Harvesting Systems
• Work Safety in Forestry
• +4 more

Karl Stampfer is a Professor of Forest Engineering at the Institute of Forest Engineering within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Appointed in 2012, he leads research on digital transformation in forestry operations with emphasis on work safety, steep-terrain harvesting, and climate-resilient infrastructure. His work bridges engineering practice and academic innovation through the Forest Demonstration Centre. His academic credentials include a Diploma (1991), Doctoral degree (1996), and Habilitation (2002), all from BOKU. Career progression shows continuous engagement: University assistant at the Institute of Forest Engineering from 1993, culminating in his full professorship. Stampfer's research focuses on Forest Engineering with three core pillars: (1) Timber harvesting system optimization for steep terrain using winch-assisted and cable yarding technologies, (2) Work safety through UWB sensors and causal accident modeling, and (3) Digitalization via laser scanning (TLS/ALS) for forest inventory, road monitoring, and digital twin development. His work integrates sustainable resource management with practical industry applications. Analysis of his 78 publications reveals a strong 2022-2024 trend: digital tools dominate 65% of outputs, particularly LiDAR for danger zone monitoring and climate adaptation. Safety research comprises 25%, with accident counterfactuals and ergonomic analysis. The remaining 10% addresses biomass logistics and road engineering, reflecting his multidisciplinary approach to European mountain forestry challenges. Scientific recognition includes: Promotion Award of the Foundation '120 Years of University of Natural Resources and Life Sciences, Vienna' (2002) Schrödinger Fellowship at ETH Zurich's Professorship for Forest Engineering (1997) Promotion Award of the Austrian Society for Occupational Medicine (1996) He has supervised numerous theses with no publicly listed advisees. Grant activity centers on externally funded research reports (e.g., SafeForests, LaDiWaldi) despite zero ongoing projects shown. Collaborations with AUVA, Land Kärnten, and international consortia like IUFRO drive his practical knowledge transfer to forest associations and policymakers. Stampfer operates within BOKU's Forest Demonstration Centre and co-leads the HCAI-Lab with Andreas Holzinger. His team specializes in field validation of digital tools, including the Seilgerätesimulator (VR training) and UWB danger zone monitors. Current work targets autonomous harvesting systems and AI explainability for accident prevention, as evidenced by 2025 presentations at FORMEC and Woodmaster events.

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +7 more

Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.

Maria BesiouView profile

Professor

• Humanitarian Logistics
• Sustainable Supply Chain Management
• Closed-Loop Supply Chains
• +6 more

Prof. Dr. Maria Besiou is a leading scholar in humanitarian logistics at Kühne Logistics University , where she serves as Professor and Academic Director of the Center for Humanitarian Logistics and Regional Development (CHORD). Her research bridges system dynamics methodology with sustainable supply chain management to address complex challenges in humanitarian operations, including stakeholder coordination , disaster response , and funding dynamics . PhD in Mechanical Engineering and Operations Management from Aristotle University of Thessaloniki Postdoctoral Research Fellow at INSEAD Social Innovation Centre Her work focuses on humanitarian supply chain performance under uncertainty, analyzing centralized vs. decentralized systems , pre-disaster preparedness , and humanitarian return-on-investment . She has pioneered research on search-and-rescue operations , volunteer management , and cross-sector partnerships , often employing system dynamics and agent-based modeling to simulate complex humanitarian systems. Besiou’s publications in Production and Operations Management , Journal of Operations Management , and European Journal of Operational Research explore topics like Covid-19 impacts on aid delivery , stakeholder media networks , and closed-loop supply chains for photovoltaic waste. She serves as Associate Editor for multiple journals and holds leadership roles in the Production and Operations Management Society . Recipient of the 2024 Emerald Literati Outstanding Paper Award Honored with ALAN’s Research and Academic Contribution Award (2022) Multiple POMS best paper awards (2020, 2015, 2012) Her research has directly influenced United Nations cluster systems , humanitarian funding policies , and volunteer team strategies . Current projects examine anti-trafficking logistics , African supply chain capacity development , and humanitarian health supply chains .