Laura Lema Perez is a Postdoctoral Fellow at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). Her research focuses on mathematical modeling and systems biology applied to biotechnological processes and diabetes management. Research Interests: Laura specializes in developing phenomenological-based models for metabolic systems, particularly glucose dynamics and insulin action. Her work addresses model interpretability, sensitivity analysis, and control systems for artificial pancreas technologies, bridging biomedical engineering and computational physiology. Publications Trends: Her recent articles (2022-2024) span journals like Ecological Modelling , PLOS ONE , and Computers in Biology and Medicine , alongside IEEE and IFAC conference proceedings. Topics include meal onset detection, glycemic trend prediction, and nonlinear control systems. Dissemination: She has presented posters and oral presentations at international conferences such as ATTD (Advanced Technologies & Treatments for Diabetes) and EMBC (IEEE Engineering in Medicine & Biology Society), often collaborating with multidisciplinary teams.
Paola Galoppi is a Researcher at Sapienza University of Rome's Department of Maternal, Infant and Urological Sciences, teaching Pathological Obstetrics for Midwifery and Gynecology/Obstetrics courses for Medicine and Surgery students. Her clinical-academic role bridges obstetric practice with maternal-fetal research, focusing on high-risk pregnancy management within Rome's public healthcare system. Her research centers on gestational diabetes pathophysiology, autoimmune disorders (particularly systemic lupus erythematosus) in pregnancy, and complications including thrombocytopenia, hypertension, and fetal growth abnormalities. She investigates metabolic-immunological interactions in adipose tissue, viral transmissions like SARS-CoV-2, and rare conditions such as homozygous familial hypercholesterolemia during gestation. Her methodology emphasizes clinical case reports, systematic reviews, and case-control studies to address evidence gaps in obstetric practice. Analysis of her 2022-2025 publications reveals emerging trends: innovative management of dyslipidemias via lipoprotein apheresis, hybrid closed-loop insulin systems for diabetic pregnancies, and critical reappraisal of fetal monitoring protocols. She actively documents SARS-CoV-2 vertical transmission mechanisms while exploring pharmacological safety (e.g., elexacaftor/tezacaftor/ivacaftor) and hematological interventions for alloimmunization. No scientific awards were documented in the provided institutional records. No information regarding student supervision or research grant acquisition was specified in the source materials, though her clinical case reports suggest collaboration with obstetric teams at Rome's public hospitals. Dr. Galoppi contributes to the institutional research group focused on Gestational diabetes; Risk Factors; Outcomes , indicating active participation in multi-center studies examining metabolic predictors of adverse pregnancy events within Italy's universal healthcare framework.
Kerstin Bach is a Professor in Artificial Intelligence at the Norwegian University of Science and Technology (NTNU), where she serves as Director of the Norwegian Open AI Lab and Research Director of the Norwegian Research Center for AI Innovation (NorwAI). She also holds the position of Deputy Head of the Data and Artificial Intelligence group within NTNU's Department of Computer Science. Her leadership extends to multiple national AI initiatives that bridge industry and academia in Norway. Dr. Bach earned her Dr. rer. nat. (summa cum laude) in Computer Science from the University of Hildesheim, Germany in 2012. Prior to joining NTNU in 2015, she worked as a researcher at the German Research Center for AI (DFKI) and as both a research scientist and software engineer at Verdande Technology, an AI startup developing case-based reasoning technology for various industries. Her research focuses on developing AI methods that combine reasoning, context-awareness, and interpretability to support complex, knowledge-intensive decisions. She specializes in case-based reasoning, explainable AI, and human-AI interaction, with particular emphasis on healthcare applications. Her work explores how to build transparent AI systems that work across domains and are grounded in real-world use cases, especially in medical decision support and patient-centered care. Analysis of her recent publications reveals a strong focus on applying AI to healthcare challenges, particularly musculoskeletal pain management through the selfBACK project. Her research spans human activity recognition, explainable AI methods, clinical decision support systems, and reinforcement learning applications. A consistent theme is the development of trustworthy AI systems that maintain interpretability while addressing complex healthcare problems. Dr. Bach actively mentors students and has established FEMAIS, a mentorship program for aspiring female AI students. She serves on the boards of both the Norwegian AI Society and the German AI Society, demonstrating her commitment to advancing the field and promoting diversity in AI. She leads multiple interdisciplinary projects funded by the Norwegian Research Council and NTNU, focusing on AI-driven healthcare services. Her leadership in the Norwegian Open AI Lab involves organizing events, giving talks, and participating in panels to discuss AI research with both professionals and the public.
Marcel van Gerven serves as Professor of Artificial Intelligence at Radboud University, leading the Artificial Cognitive Systems laboratory within the Donders Institute for Brain, Cognition and Behaviour. He holds dual Principal Investigator roles at both the Donders Centre for Cognition and the Donders Institute, while directing the ELLIS Unit Nijmegen as an ELLIS Fellow. His research program bridges artificial and natural intelligence through machine learning and neuromorphic computing, with core expertise in neural networks, brain-computer interfaces, and neuroprosthetics for vision restoration. Current work develops brain-inspired AI systems that enhance computational efficiency while modeling biological neural processes, particularly focusing on cortical stimulation safety and real-time adaptive systems. Analysis of his 2025 publications reveals dominant themes in reinforcement learning for neuroprosthetics, anomaly detection frameworks, and spiking neural network applications. His work consistently integrates medical applications including epilepsy regulation, immunotherapy diagnostics, and prosthetic vision enhancement, demonstrating strong translational impact from fundamental AI research to clinical solutions. Scientific recognition includes: Vidi laureate from the Dutch Research Council ELLIS Fellowship for European AI leadership Professor van Gerven directs significant research funding through national and international grants, including the Vidi award. His laboratory develops specialized frameworks like Abmax and Kozax for agent-based modeling while mentoring students in cognitive AI systems, though specific advisees aren't documented in available sources. The Artificial Cognitive Systems lab operates within the Donders Institute ecosystem, collaborating closely with the ELLIS Unit Nijmegen to advance European neuromorphic computing research. Current initiatives focus on biologically plausible learning rules, efficient neural network architectures for embedded systems, and closed-loop neuroprosthetic control systems.
Olga Battaïa is Senior Professor in the Department of Operations Management and Information Systems at KEDGE Business School, where she also serves as Associate Dean for Research. Her academic journey includes a PhD in Industrial Engineering from École nationale supérieure des mines de Saint-Étienne (2007) and accreditation to supervise research (HDR, 2014). Education PhD in Industrial Engineering, École nationale supérieure des mines de Saint-Étienne, 2007 HDR (Accreditation to Supervise Research), 2014 Research Focus Professor Battaïa’s research lies at the intersection of operations management , supply-chain optimization , and decision-science methods . She develops mathematical models and algorithms that improve the design and performance of production systems, reconfigurable manufacturing lines, closed-loop supply chains, and collaborative human-robot systems. Her work embraces sustainability challenges, ergonomic considerations, and uncertainty management. Recent investigations include: Dynamic vaccine-allocation models responding to pandemic realities Ergonomic integration in human-robot collaborative workstations Electric-bus charging-network design for sustainable urban mobility Robust resource-leveling techniques under project uncertainty Publication Impact Across 200+ refereed publications, her 2023–2025 output alone spans International Journal of Production Economics , IJPR , Computers & Industrial Engineering , Transportation Research Part E , and flagship conferences such as CIRP ANNALS. Thematic trends reveal deepening emphasis on (i) sustainable and resilient supply-chain design, (ii) advanced exact and heuristic optimization for reconfigurable manufacturing, and (iii) human-centric production systems. Editorial & Professional Service Associate Editor, Journal of Manufacturing Systems (Elsevier) Associate Editor, IISE Transactions Associate Editor, Omega—The International Journal of Management Science Associate Member, International Academy for Production Engineering (CIRP) Member, IFAC Technical Committee on “Manufacturing Modelling for Management and Control” Doctoral Advising & Research Leadership Professor Battaïa has co-supervised 11 PhD thestrong>ses to completion and delivered more than 15 invited lectures worldwide. She coordinates multi-partner research projects with industry and academic institutions, securing sustained funding for large-scale optimization and sustainability initiatives. Laboratories & Teams She leads research activities within KEDGE’s Operations, Supply Chain and Information Management group, collaborating closely with the Reconfigurable Manufacturing Systems and Sustainable Supply Chain Design research teams.
Miguel Angel Lopez Manchado is a Research Professor at the Institute of Polymer Science and Technology, Spanish National Research Council (CSIC), Madrid, Spain. His work focuses on advanced composite materials, particularly self-healing elastomers and sustainable polymer design. PhD : Chemistry Sciences, Universidad Complutense de Madrid (1997) Postdoctoral : University of Perugia (1998-2000) CSIC Affiliation : Ramon y Cajal Contract (2002), Tenured Researcher (2006), Research Scientist (2011), Research Professor (2016) His research centers on composite materials , self-healing polymers , and elastomer sustainability , with a focus on structure-property relationships and recycling. Recent articles highlight innovations in physically unclonable labels , bio-based vitrimers , and gamma radiation shielding composites . Scientific achievements include the IX Talgo Award for Technological Innovations (2009) and patents on: Thermoset Conductive Foams Electrochemically Active Nanoparticulated Polymers Physically Unclonable Labels He pioneers self-healing composites for automotive and packaging applications, with expertise in polymer synthesis, nanocomposite characterization, and circular economy strategies.
Evren Sahin is a researcher specializing in Operations Management with a focus on Supply Chain Optimization , Healthcare Logistics , and Inventory Management . He is affiliated with the Industrial Engineering Laboratory, where his work integrates optimization , discrete event simulation , and production systems . His research explores the intersection of emergency vehicle logistics , home healthcare operations , and agri-food supply chains . Recent publications highlight applications of machine learning in demand forecasting and digital twin technology for supply chain agility. Collaborations with Zied Jemai, Yves Dallery, and Andrea Matta span theoretical and applied projects. Key methodologies include integer programming , inventory control models , and human-robot kitting systems . His work addresses closed-loop supply chains , perishable product management , and emergency medical service improvements through simulation and optimization.
Daniel Benjamin Aharoni is an Associate Professor in the University of California, Los Angeles (UCLA) Department of Neurology, with affiliations in both the School of Medicine and interdisciplinary neuroscience research groups. His work bridges engineering, physics, and neuroscience to develop open-source neurotechnologies like the Miniscope system, now used in over 450 laboratories worldwide. Research interests include: Optical Imaging: Miniature microscopes for freely behaving animals Neural Dynamics: Single-cell and multi-region neural activity analysis Behavioral Neuroscience: Social behavior, spatial coding, and aversive memory studies Biomedical Hardware: FPGA-based real-time decoding systems His publications span high-speed volumetric imaging (2018), Miniscope-LFOV (2023), and BehaviorDEPOT (2022), focusing on hardware-software integration for neuroscience. The lab emphasizes democratizing access to neurotechnology and bridging tool design with biological complexity.
John Osborn is a Professor in the Department of Surgery at the Institute for Engineering in Medicine, University of Minnesota , with a focus on hypertension , renal medicine , and neurocardiology . His research explores autonomic regulation, neural stimulation, and interventional therapies for cardiovascular disorders. Current projects include vagus nerve stimulation for cardiovascular modulation (2021-2028), renal denervation trials with Ablative Solutions (2021-2026), and transcriptomic analysis of sensory neurons in neurogenic hypertension (2024-2025). His work contributes to UN Sustainable Development Goals through medical device innovation and precision hypertension treatment . Research Trends : Recent publications focus on renal nerve mechanisms , vagal excitation , and neurohumoral interactions in cardiovascular disorders, with interdisciplinary applications spanning neuroscience , physiology , and biomedical engineering . Collaborations : Dr. Osborn works with institutions like NIH , Verve Medical , and Augusta University , collaborating with experts in neurology , biomedical engineering , and cardiovascular medicine .
Professor Dimitrios Savvas is the Director of the Laboratory of Vegetable Crops at the Agricultural University of Athens , Department of Plant Production Science. He holds a PhD in Vegetable Crops and Hydroponics from the University of Bonn (1992) and has served at the university since 2006, progressing from Assistant to Full Professor. His research focuses on soilless culture technologies , salinity stress management , nutrient solution optimization , and biostimulant applications in greenhouse vegetable production. PhD in Vegetable Crops & Hydroponics, University of Bonn (1992) Professor at Agricultural University of Athens since 2015 Director of the Laboratory of Vegetable Crops since 2016 His work spans hydroponics , greenhouse microclimate control , and resource-efficient crop systems , with over 75 peer-reviewed publications. Recent Google Scholar articles highlight advancements in ion-selective electrode integration , biostimulant-driven stress tolerance , and vertical farming nutrition for crops like spiny chicory and golden thistle. He has coordinated major EU projects including TRUE (H2020, 2017-2020), TOMRES (H2020, 2017-2020), and EUROLEGUME (FP7, 2014-2017). Current projects address climate change adaptation in Mediterranean vegetable crops via the PRIMA initiative VEGADAPT (2019-2022).
Kristin Sellers is an Assistant Professor at the University of California, San Francisco (UCSF) in the Department of Neurological Surgery under the School of Medicine. Her work focuses on intracranial electrical stimulation for treating neuropsychiatric disorders such as major depressive disorder and chronic pain, with an emphasis on translating findings from clinical trials into neurotechnology development. Education: BS in Human Development from Cornell University (2011) PhD in Neurobiology from University of North Carolina (2016) Certificate in Translational Medicine from University of North Carolina (2016) Postdoctoral Scholar in Neurological Surgery at UCSF (2020) Dr. Sellers specializes in closed-loop neuromodulation systems, aiming to create adaptive neurotechnologies that respond to real-time brain activity. Her research spans human neurophysiology, biomedical engineering, and therapeutic applications of brain stimulation. Key publication trends include innovations in deep brain stimulation protocols, advanced neural recording techniques, and computational approaches to understanding cortical dynamics. Her work has been cited over 2000 times across platforms like Mendeley, X, and news outlets, with notable coverage of treatments for severe depression and chronic pain. She collaborates extensively with UCSF colleagues including Andrew Krystal, Edward Chang, and Philip Starr. Labs & Collaborations: Dr. Sellers operates within UCSF's Neurological Surgery department, contributing to clinical trials and neurotechnology projects. She works with teams developing tools like the DREDge algorithm and Medtronic Summit RC+S systems for brain stimulation.
Dr Fatima Ezzahra Achamrah serves as a Lecturer in Operations and Supply Chain Management at the Sheffield University Management School, University of Sheffield, where she contributes to advancing research at the intersection of operations research and artificial intelligence. Her work focuses on developing innovative methodologies to solve complex logistical challenges in modern supply chains. Education: Ph.D. in Industrial Engineering from Paris Saclay University, CentraleSupelec, France Engineering degree (MEng/CEng) in Process Engineering from the National School of Applied Sciences, Morocco Research Interests: Dr Achamrah's research centers on Combinatorial Optimization in Logistics and Production Systems , Resilience in Cyber-Physical and Collaborative Networks , and Machine Learning/AI in OR . She pioneers interdisciplinary approaches that integrate reinforcement learning with exact and meta-heuristic methods to address vehicle routing, inventory management, and 3D bin packing problems. Her groundbreaking work on flow management within cyber-physical networks, particularly the 'Physical Internet' concept, aims to revolutionize supply chain resilience and efficiency through AI-driven solutions. Publication Trends: Her recent publications (2022-2025) reveal a dominant focus on deep reinforcement learning applications for combinatorial optimization under uncertainty, with significant contributions to sustainable cargo-bike delivery systems, selective maintenance in cyber-physical manufacturing, and Physical Internet protocols. These works consistently address stochastic demands and dynamic environments, demonstrating how AI-enhanced optimization can transform logistics operations while enhancing environmental sustainability. Grants and Supervision: Principal Investigator for The Grantham Centre for Sustainable Futures (GCSF) GO Fund (2024, £10,000) Co-Investigator for APR&D programme (2021-2023, £420,000) She actively supervises PhD research in operations and supply chain efficiency, resilience, sustainability, and cyber-physical network management, guiding next-generation researchers in developing intelligent logistics solutions. Research Group: Dr Achamrah is a core member of the Operations Management and Decision Sciences (OMDS) research group, driving collaborative projects that bridge theoretical innovation with practical industry applications.
Dr Jason X. Wang serves as Lecturer in Sustainable Supply Chain Management within the Operations Management and Decision Sciences department at the University of Sheffield's Management School. Previously holding the position of MBA Programme Leader and Senior Lecturer at the University of Huddersfield, his academic focus centers on sustainable operations and supply chain innovation. His research program investigates sustainable and circular supply chain management through two primary lenses: customer-driven sustainability practices integrating carbon neutrality and circular product design, and blockchain technology applications enhancing supply chain transparency and resilience. This work extends to sustainability innovation in construction through prefabricated systems, addressing sector-specific challenges in environmental performance optimization. Analysis of his 15 most recent publications (2017-2025) reveals consistent emphasis on sustainability measurement, with significant application of event study methodology to quantify market reactions to environmental initiatives. Recent work increasingly employs advanced analytical techniques like fuzzy DEMATEL for barrier analysis, while maintaining strong focus on blockchain implementation challenges and decarbonization strategies across multiple industries. Dr Wang actively supervises PhD candidates in quantitative blockchain applications for sustainable supply chains and supply chain finance. His current research funding includes: £16,000 grant from The Productivity Institute investigating SME decision-making in technology-driven logistics productivity ESRC/The Productivity Institute project on strategic productivity for business leadership teams He contributes to the academic community as Editorial Review Board member for Journal of Supply Chain Management and IEEE Transactions on Engineering Management, while serving as Guest Editor for Transportation Research Part E and Senior Editor for Cogent Business & Management. Dr Wang is an active member of the Supply Chain, Operations and Logistics Applied Research Centre, where he develops industry collaborations including vehicle recovery services in New Zealand and UK motorsport sector sustainability initiatives.
Victor Lobanov is a postdoctoral researcher at the Department of Conservation, University of Gothenburg. His work focuses on environmental sustainability, aquaculture systems, and microbial processes. Institution: University of Gothenburg Department: Department of Conservation Academic Role: Researcher His research spans hydrothermal carbonization , anaerobic digestion , and microbiome dynamics in aquaculture. Key topics include waste-to-energy conversion, nutrient cycling, and sustainable food production systems. Recent publications analyze aquaponic nutrient transfer , sturgeon broodstock management , and microbial ecology in aquatic environments. His work emphasizes circular economy principles and resource optimization. Contact: victor.lobanov.2@gu.se Phone: +46 31-786 30 69
Michael Schluse is a Professor and Chair of the Institute for Human-Machine Interaction at RWTH Aachen University, where he also serves as Chief Engineer. His work bridges academic research and industrial application in digital systems engineering, with a physical presence at Im Süsterfeld 9 in Aachen's Former customs office building. His research centers on Experimentable Digital Twins (EDZ) – a paradigm enabling real-time interaction between physical systems and their digital counterparts. Key focus areas include: Human Digital Twin specification frameworks addressing stakeholder needs and transparency requirements Convergence of simulation and reality for lifecycle-spanning system validation Virtual testbed development for robotics, forestry, and construction applications Carbon balancing technologies in timber supply chains and environmental modeling Augmented reality systems for error-based learning (FeDiNAR project) His publication trends reveal a strategic shift from foundational simulation technologies (2000-2015) toward human-centered digital twin architectures since 2018. Recent work emphasizes practical implementation in Forestry 4.0, construction site modeling, and cybersecurity frameworks, demonstrating consistent translation of theoretical concepts into domain-specific solutions. The research shows strong interdisciplinary alignment between computer science, mechanical engineering, and environmental systems. As head of the Institute for Human-Machine Interaction, Schluse leads a research ecosystem developing runtime environments for experimentable digital twins. The institute maintains close ties with industrial partners through projects like ClusterWIS (forestry information systems) and Off-Highway-Twins, focusing on real-world validation of simulation technologies in mobile and distributed environments.
