Prof. Arne Strauss holds the Mercator Endowed Chair of Demand Management & Sustainable Transport at WHU – Otto Beisheim School of Management. His research focuses on reducing air traffic emissions, optimizing transport systems, and developing decision support tools. He teaches the Sustainable Urban Transport course at the BSc level. Key research areas include demand-capacity balancing, cross-border air traffic management, and environmental sustainability in logistics. Recent work addresses challenges in e-fulfillment, dynamic customer contacting, and algorithmic solutions for transshipment and routing. Strauss contributes to journals like Transportation Research Part A and has authored over 30 peer-reviewed articles. His expertise bridges operational research methodologies with real-world applications in aviation and urban transport systems.
Dr. Maxim Bushuev is an Associate Professor in the Department of Information Science and Systems at Morgan State University's Graves School of Business and Management. He holds a Ph.D. in Operations Management from Kent State University and additional degrees from Voronezh State Technological Academy and Chadron State College. His research focuses on supply chain delivery performance, production planning with financial elements, and blockchain applications in supply chain management. He employs stochastic modeling and optimization techniques, contributing to interdisciplinary research. Education: Ph.D. in Operations Management, Kent State University (2013) M.B.A., Chadron State College (2009) Ph.D. in Technical Sciences, Voronezh State Technological Academy (2006) B.S. in Automation Engineering, Voronezh State Technological Academy (2001) Research Interests: Supply Chain Management Blockchain Technology Production/Operations Management Interdisciplinary Operations Research Recent work emphasizes blockchain integration in education systems and carbon emissions analysis in drone-based last-mile delivery. His articles often explore delivery performance improvement across varied probability distributions (gamma, Laplace) and supply chain structures, with a focus on optimizing cost-efficiency and operational metrics. No scientific awards explicitly listed. Active in advising and teaching roles, with no grants mentioned. No dedicated lab affiliations noted.
Roya TAT is an Assistant Professor in Supply Chain Management at EM Normandie since 2024. Previously, she served as an Associate Professor at ESC Clermont Business School (2023-2024) and completed a Post-Doctorate in Operations Management at IESEG School of Management (2021-2022). She holds a PhD in Industrial Engineering from the University of Tehran (2020) and a Post-Doctorate from IESEG School of Management. Her research focuses on Supply Chain Management, Sustainability, Contract Design, and Operations Management, emphasizing sustainable practices in pharmaceutical supply chains and environmental awareness integration. Education Highlights: PhD in Industrial Engineering, University of Tehran (2020) Post-Doctorate in Operations Management, IESEG School of Management (2021-2022) Research Interests: Roya explores innovative approaches to supply chain sustainability, including pharmaceutical waste reduction, contract design for coordination, and environmental policy applications. Her work combines mathematical modeling with real-world supply chain challenges, particularly in healthcare and retail sectors. Publications: Her articles span topics like sustainable pharmaceutical supply chains, cap-and-trade systems, and inventory optimization. Notable contributions include studies on medicine donation schemes and supply chain coordination mechanisms under environmental regulations. Labs/Teams: No specific lab/team affiliation mentioned, but her work aligns with EM Normandie's Supply Chain & Management Digital initiatives.
BETTAYEB Belgacem is an Associate Professor at the Engineering and Numerical Tools department of CESI. His research focuses on Production Management in Industry 4.0, including optimization of production processes, control of cyber-physical systems, and human-centered manufacturing. He holds a PhD in Industrial Engineering from the University of Grenoble Alps (2012) and advanced degrees in Optimization and Systems Safety (MSc, 2005) and Industrial Systems Engineering (MEng, 2004). Current research projects include the RIN AntiHPert Project, OPTIMAN project, and ReCPPS internal project. He supervises PhD students such as Candice DESTOUET (2022–2025) and Nourddine BOUAZIZ (2022–2025), with Merouane MAZAR having defended his thesis in 2022. His work spans topics like supply chain optimization, human-robot collaboration, and stochastic scheduling under uncertainty. Key contributions include publications on multi-agent systems for collision avoidance, resilient scheduling in Industry 5.0, and fog-supported monitoring in smart factories. His research integrates simulation, optimization algorithms, and machine learning to address challenges in modern manufacturing systems.
Maxime Thibault is a Clinical Associate Professor at the Université de Montréal, affiliated with the Faculty of Medicine and the Department of Anesthesiology and Pain Medicine. His research focuses on clinical pharmacy, medication safety, pediatric pharmacology, healthcare technology, and process improvement in healthcare systems. He has contributed to advancements in machine learning applications for medication order review, parenteral nutrition management, and opioid crisis mitigation strategies. His work bridges clinical practice, technology, and patient outcomes through rigorous methodological approaches including mixed-methods evaluations, retrospective cohort studies, and pilot trials. Professional interests also extend to healthcare workforce adaptations during pandemics and the ergonomic design of hospital environments. Key research themes include optimizing pharmacist workflows via AI-driven tools, reducing medication errors through CPOE systems, and managing controlled substances to address opioid misuse. He has pioneered studies on neonatal cholestasis and parenteral nutrition-associated liver disease, emphasizing evidence-based interventions such as ursodeoxycholic acid therapy. His work integrates quantitative analyses (e.g., GANomaly algorithms for anomaly detection) with qualitative insights from healthcare professionals and patients. Dr. Thibault collaborates across disciplines, engaging in national and international comparisons of pharmaceutical practices (e.g., France-Québec medication validation comparisons). He actively participates in healthcare policy discussions related to medication safety, telehealth implementation, and the economic implications of automation in pharmacy compounding. His contributions reflect a commitment to translating technological innovations into actionable solutions for improving patient care and clinical outcomes.
Harmen Hendriksma is a Researcher at the Department of Biointeractions and Plant Health at Wageningen University & Research. His work focuses on apiculture, honeybee health, and pollinator ecology with particular emphasis on Varroa mite control, agricultural landscape impacts, and pest management strategies. He leads the Professional Beekeeping Project SIB2023-012 and has conducted studies on formic acid treatments for varroa, winter mortality prediction using meteorological data, and invasive species interactions. Key research areas include pollinator behavior in greenhouses, beekeeping best practices, and citizen science-based biodiversity monitoring. His datasets include formic acid treatment comparisons and honeybee heatballing observations. Hendriksma frequently speaks at conferences like the Arbeitsgemeinschaft der Institute für Bienenforschung, presenting on topics like natural varroa resistance and climate change impacts on bee health. He collaborates with institutions across Europe and has contributed to media discussions on professionalizing beekeeping in the Netherlands. His work bridges applied research and practical beekeeping solutions, emphasizing sustainable apiculture practices.
Julie Paquette is an Associate Professor in the Department of Logistics and Operations Management at HEC Montréal. She holds a Ph.D. in administration, M.Sc. in logistics, and B.A.A. in quantitative methods from HEC Montréal. Her research focuses on Service Operations Management, Transportation, E-commerce Logistics, and Supply Chain Optimization in nonprofit/humanitarian contexts. She actively supervises Master's theses and projects, with 7 completed theses and 22+ supervised projects in the last five years. Dr. Paquette is the Pedagogical Coordinator for the Operations and Supply Chain Management Specialization in HEC Montréal's M.Sc. program and a member of the executive committee at CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation). Her teaching includes courses like OPER 20525 (Logistics) and OPER 20505 (Service Operations Management). Research interests emphasize optimizing supply chains for humanitarian organizations and sustainable urban transport. Recent work addresses e-commerce logistics challenges and humanitarian logistics in East Africa. She has published in journals like INFOR and Omega, and contributed chapters on humanitarian supply chains. Supervision activities span logistics optimization in healthcare, agro-food industries, and e-commerce platforms.
Gewnhi Park is an Associate Professor of Psychology at Westmont College. She previously served as a faculty member at Azusa Pacific University and Hope College before joining Westmont in 2021. Her research explores psychophysiological mechanisms linking emotion and cognition, with a focus on social cognition, anxiety disorders, and the role of cardiac vagal tone in attention and decision-making. She integrates cognitive models to analyze psychopathology and employs methods like ERP and EEG. Dr. Park holds a BS in Psychology from SUNY Stony Brook, followed by an MA and PhD in Cognitive Psychology from The Ohio State University. Her educational background underscores her expertise in cognitive and clinical research methodologies. Her research interests emphasize how physiological factors (e.g., HRV) interact with cognitive processes such as perception, memory, and attention. Key topics include the cross-race effect, moral judgment, and the impact of anxiety and depression on visual processing. She investigates cultural differences in emotion regulation and the neural underpinnings of social identity. Her publications consistently highlight trends in psychophysiology’s role in understanding social and emotional cognition. Recent work examines spatial frequency effects in face perception among clinical populations and gratitude’s economic implications. Earlier studies explore HRV’s influence on attentional bias and ERP correlates of fear processing in schizophrenia. Dr. Park teaches courses in Psychology of Learning, Cognitive Psychology, and the Senior Capstone Research program. No scientific awards or grants are explicitly listed. She advises students but no specific names are provided. Her research bridges clinical, cognitive, and social domains, using neurophysiological tools to explore how self-regulation, stress, and cultural factors shape mental processes. Ongoing projects likely address these intersections, though lab/team affiliations are not mentioned in the text.
Berry van der Hoorn is a Lecturer and Researcher at Inholland University of Applied Sciences, holding a Lectorship in 'Living in the Metropolis.' His work focuses on molecular biodiversity monitoring, DNA metabarcoding, and aquatic ecosystem assessment. He specializes in advancing standardization of biomonitoring protocols and integrating DNA-based methods into ecological research and policy. Research Interests: Berry’s expertise spans environmental DNA (eDNA), macroinvertebrate ecology, freshwater and marine biomonitoring, and functional traits of invasive species. He emphasizes reproducibility in genetic methodologies and collaborates internationally on projects like DNAqua-Net to harmonize protocols across laboratories. His recent work highlights the reliability of metabarcoding for biodiversity assessment, particularly in marine and freshwater systems. He has contributed to developing reference libraries for benthic invertebrates and diatoms, enhancing biomonitoring accuracy in European waters. Berry has published extensively on topics such as mitochondrial genome sequencing, spatial variation in zooplankton communities, and invasive crayfish ecology. His research bridges academic and applied contexts, aiming to inform conservation strategies and policy decisions. He actively participates in international initiatives like the DNAqua-Net network and has authored foundational papers on protocol standardization, eDNA applications, and biodiversity recovery assessments.
Prof. Olga Battaia is a Full Professor in the Department of Operations Management and Information Systems at Kedge Business School, serving as Associate Dean for Research. She holds a PhD from École des Mines de Saint-Étienne (2007), recognized with the Best PhD Thesis Award. Her expertise spans Supply Chain Management, Sustainable Manufacturing, Operations Research, and Combinatorial Optimization. She has co-authored over 200 publications and supervised 11 PhD students. Current research focuses on reconfigurable manufacturing systems, human-robot collaboration, and sustainability in supply chains. Editorial Roles: Associate Editor for Journal of Manufacturing Systems, IISE Transactions, Omega. Memberships: CIRP (International Academy for Production Engineering), IFAC Technical Committee 5.2. Research highlights include optimizing vaccine allocation (2025), human-robot ergonomics (2024), and closed-loop supply chain equity (2023). Awards include the 2007 Best Thesis Award. Advising: Co-supervised 11 PhD students. Active in European projects and international conference organization.
Diego Nascimento is an Assistant Professor in Statistics at NEOMA Business School. His research focuses on statistical modeling, machine learning, spatio-temporal dependencies, and data visualization, with applications in supply chain management, neurosciences, and industrial projects. He has published in top-tier journals like the Journal of the Royal Statistical Society Series C and Pattern Recognition , collaborating with companies in South America and healthcare institutions. His work bridges theoretical statistics with practical industry challenges, emphasizing Bayesian methods and dynamic models. Key research areas include spatio-temporal modeling, neural data analysis, and optimization techniques. Recent studies involve clinical trials on transcranial stimulation effects and predictive analytics for supply chains during the pandemic. He actively contributes to interdisciplinary projects, combining statistical rigor with real-world applications in healthcare and environmental monitoring. Award-winning research includes advancements in imbalanced classification, safety-stock prediction, and entropy analysis in clinical trials. His collaborative projects reflect a commitment to both academic innovation and industrial relevance, with ongoing work in neuroimaging and supply chain resilience.
Dr. Aboozar Jamalnia is a Lecturer in Operations Management at the School of Business, Edinburgh Napier University. Previously, he served as an Assistant Professor at Kharazmi University, Tehran, Iran. He holds a PhD in Operations Management from Alliance Manchester Business School (2017) and an MSc in Industrial Management from Shiraz University (2008). His teaching expertise spans undergraduate and postgraduate courses in Operations Management and Operations Research. His research focuses on the intersection of Operations Management and Operations Research, employing techniques such as mathematical programming, simulation, and Bayesian networks. Key areas include sustainability governance in multi-tier supply chains, Industry 4.0 applications in healthcare supply chains, and production planning under uncertainty. His work has been published in journals like International Journal of Production Economics and Computers & Industrial Engineering . Recent studies include decision support systems for supply chain sustainability, contingency variables in sub-supplier management, and bibliometric analyses of closed-loop supply chain research. Jamalnia collaborates with the Centre for Business Innovations and Sustainable Solutions, addressing real-world challenges through interdisciplinary approaches.
Philippa Jackson is an Associate Professor of Biological Psychology and Director of the Brain, Performance and Nutrition Research Centre at Northumbria University. She serves as Impact Lead on the Research and Knowledge Exchange Committee in the Department of Psychology. Her research focuses on the relationship between dietary components (nutrients, whole foods, supplements) and brain function/behavior, particularly investigating omega-3 fatty acids' effects on cognition, sleep, stress, and well-being across the lifespan. She has expertise in conducting large-scale randomized controlled trials, collaborating closely with industry partners. Education: PhD in Psychology (2010), BSc (Hons) Psychology (2003). Research Interests: Bioactive lipids' neurocognitive impacts, individual differences in supplementation responses, and essential nutrients' role in sleep regulation. Current projects include investigating differential effects of omega-3 isomers (DHA vs. EPA) and developing nutritional interventions for cognitive enhancement. Student Supervision: Currently guiding PhD candidates Ben Hughes (gaming performance and Nepalese Pepper) and Jessica Greener (dietary phospholipids and brain health). Awards: None explicitly listed in provided text. Key Contributions: Over 10 peer-reviewed articles since 2021, with emphasis on plant extracts (mango leaf, coffeeberry), nutraceuticals, and marine oils' effects on human cognition and physiology. Active in translational research bridging nutritional science and clinical applications.
Jesus Pestana Puerta is a researcher at the Institute of Computer Graphics and Vision (ICG) within the Faculty of Computer Science and Biomedical Engineering at TU Graz. He holds a PhD in Automation and Robotics from the Technical University of Madrid (UPM). With over 10 years of experience, he specializes in Aerial Robotics, focusing on vision-based solutions for drone navigation, obstacle avoidance, and autonomous systems. His work bridges research and industry, including prototypes for delivery drones (Post AG) and inventory management systems. Key projects include Overview Obstacle Maps for safe drone navigation and Micro Aerial Projector for stabilized aerial displays. Research interests span visual-inertial odometry, GPS-denied navigation, and technology transfer. He has contributed to robotics competitions (IC CEA, IMAV, IARC) and published extensively in journals like Journal of Field Robotics and conferences such as IROS. His recent work explores cloud-based navigation systems, AI for waste sorting, and automotive embedded systems optimization. Collaborations include startups and industrial partners, emphasizing practical applications of robotics. He has supervised projects in sensor degradation detection, redundant systems, and UAV lifecycle monitoring. His contributions are documented in over 50 publications, with a focus on advancing drone autonomy and real-world deployment.
Edith Alice Kovács is an Associate Professor at the Department of Differential Equations, Budapest University of Technology and Economics (BME). She holds a PhD from the West University of Timisoara (2005) and has taught at multiple institutions, including the General College of Entrepreneurship (ÁVF) and universities in Arad. Her research focuses on multivariate statistics, probability graph models, information theory, AI/ML, network reliability, and mathematical modeling in finance/medicine. She has received the BME Innovation Award 2020 for anomaly detection work. Kovács has presented at conferences worldwide, including the European Conference on Operational Research and the IEEE SACI conference. Her teaching spans subjects like economic modeling, operations research, and data science across BME and ÁVF programs. Education: BSc and MSc in mathematics from the West University of Timisoara (1994), PhD in Mathematics (2005). Professional roles include full-time employment at BME since 2015 and prior experience at Aurel Vlaicu and Vasile Goldis Universities (1994–2000). Research interests include decision-making under uncertainty, metaheuristic algorithms, neural halos, and social network modeling. Recent work explores copula-based anomaly detection and vine copula structures. Kovács has contributed to projects like stochastic inventory modeling for TESCO and VNF fingerprinting for Nokia.
