جست‌وجوی استاد و پژوهشگر

Olga BATTAIAمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Production Systems Optimization
• +۷ مورد دیگر

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.

Nathaniel Dawمشاهده پروفایل

استاد

• Computational Neuroscience
• Decision-Making
• Reinforcement Learning
• +۳ مورد دیگر

Nathaniel Daw holds the Huo Professorship in Computational and Theoretical Neuroscience at the Princeton Neuroscience Institute , Princeton University. His research integrates computational, neural, and behavioral approaches to study decision-making through trial-and-error learning and reward/punishment processing. Research Interests: Computational Neuroscience Decision-Making Under Uncertainty Model-Based and Model-Free Learning Neural Mechanisms of Self-Control Publications (2025-2019) explore intersections of machine learning and neuroscience, focusing on reward-guided behavior, memory systems, and psychiatric implications like anorexia nervosa and obsessive-compulsive disorder. Key themes include neural replay, cognitive effort allocation, and predictive modeling of human and animal learning. Scientific Awards: Princeton-Rutgers $16M Research Grant for mental illness studies Grants and Collaborations: Highlighted by a major interdisciplinary grant with Rutgers University to advance understanding of mental illness through computational frameworks. Labs and Teams: Leads the Daw Lab at Princeton Neuroscience Institute, focusing on neurocomputational models of decision-making and self-control.

• Advanced Composite Materials
• Nanocomposites
• Elastomer Compounds
• +۳ مورد دیگر

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 Sahinمشاهده پروفایل

پژوهشگر

• Operations Management
• Supply Chain Optimization
• Healthcare Logistics
• +۴ مورد دیگر

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.

• Neuroscience
• Biomedical Engineering
• Biophysics
• +۳ مورد دیگر

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.

• Neuroscience
• Cardiovascular Medicine
• Hypertension
• +۳ مورد دیگر

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 .

• Hydroponics
• Soilless Culture
• Plant Nutrition
• +۱۰ مورد دیگر

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).

• Neuromodulation
• Neurostimulation
• Neuropsychiatric Disorders
• +۲ مورد دیگر

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.

• Combinatorial Optimization in Logistics and Production Systems
• Resilience in Cyber-Physical and Collaborative Networks
• Machine Learning/AI in OR

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.

• Sustainable Supply Chain Management
• Circular Supply Chain Management
• Blockchain Technology Applications
• +۵ مورد دیگر

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.

• Environmental Science
• Aquaculture
• Biotechnology
• +۴ مورد دیگر

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

• Digital Twins
• Human-Machine Interaction
• Simulation-based Systems Engineering
• +۵ مورد دیگر

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.

Stefano Cestellos Blancoمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Bioengineering
• Neurobiology
• +۵ مورد دیگر

Stefano Cestellos Blanco is a Postdoctoral Fellow at Stanford University working jointly in the Deisseroth Lab (neuroengineering) and Bao Lab (materials science), investigating chemical material properties' correlation with neurobiology in genetically targeted assemblies and advancing sustainable biomanufacturing technologies. Education: B.S. in Chemical Engineering, Stanford University (2016) Ph.D. in Materials Science & Engineering, UC Berkeley (2022) with Peidong Yang His research spans Materials Science, Bioengineering, and Neurobiology with expertise in biocatalysis, protein delivery, and electrochemical CO2 conversion systems. Current work integrates genetically targeted assemblies with material science to develop neurobiological tools while pioneering space biomanufacturing solutions for Mars missions through minimal-processing PHB production and CO2 valorization. Publication analysis reveals dominant themes in sustainable energy conversion, particularly electrochemical-biological hybrid systems for CO2 reduction into sugars and multicarbon products, alongside diagnostic innovations for mRNA therapeutics and space-ready biomanufacturing frameworks emphasizing resource efficiency under uncertainty. Scientific Awards: None documented in source materials. Advising and Grants: No student advisement records or grant details provided. He operates at the critical interface of two premier Stanford research groups: the Deisseroth Lab advancing optogenetics and neural circuit mapping, and the Bao Lab pioneering skin-inspired electronics, enabling cross-disciplinary breakthroughs in neurotechnology and sustainable materials.

Rafiq Ahmadمشاهده پروفایل

دانشیار

• Design and Manufacturing
• Additive Manufacturing
• Sustainable Production
• +۷ مورد دیگر

Dr. Rafiq Ahmad (PhD, P.Eng) is an Associate Professor at the University of Alberta’s Faculty of Engineering, Department of Mechanical Engineering. He directs the Smart & Sustainable Manufacturing Systems Laboratory (SMART LAB) and the Aquaponics 4.0 Learning Factory (AllFactory) . His work bridges fundamental research in design and manufacturing with advanced industrial applications. Education : PhD & MSc from French institutions (Ecole Centrale de Nantes and Ecole Arts et Metiers Paris), Postdoc at University of Luxembourg Research : Focuses on Smart Manufacturing (zero-defect production), Green Technologies (3R systems), Industrial Robotics (autonomous systems), and Sustainable Production (Aquaponics 4.0). The 15 most recent publications (2025) explore digital twins, robotics for extreme environments, hybrid manufacturing optimization, and sustainable food production. Articles span additive manufacturing, topology optimization, and AI-driven automation. Scientific Awards : 2023 ASTech Award for Digital Innovation; 2022 Edify Top 40 Under 40; multiple NSERC, Mitacs, and Alberta Innovates grants. Teaching : Offers courses in Manufacturing Systems, Lean Manufacturing, and Mechanical Measurements. Labs : SMART Lab (founded 2016) specializes in hybrid manufacturing and robotics; AllFactory focuses on sustainable aquaponics systems.

Sevak Tahmasianمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Control Systems
• Biomimetics
• +۵ مورد دیگر

Dr. Sevak Tahmasian is an Advanced Instructor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. His expertise lies in vibrational control systems, biomimetic robotics, and the dynamics of mechanical systems. He holds a Ph.D. in Engineering Mechanics from Virginia Tech (2015), and M.S. and B.S. in Mechanical Engineering from Isfahan University of Technology (2001 and 1998). Dr. Tahmasian has received the Leader in Teaching Award twice (2019 and 2022) from Virginia Tech's Biomedical Engineering and Mechanics department. His research focuses on advancing control strategies for mechanical systems using averaging methods, with applications in biomimetic systems like insect flight and swimming robots. Key areas include vibrational stabilization, drag-based propulsion, and optimization of dynamic systems. His work bridges mechanical engineering, robotics, and fluid dynamics to solve complex locomotion and control problems. Notable research trends in his publications include: Development of vibrational control techniques for underactuated systems Analysis of biological systems (insects, flying snakes) to inform robotic designs Integration of higher-order averaging methods for enhanced system stability Optimization of drag-based swimmers and flapping mechanisms His awards highlight his excellence in teaching engineering mechanics concepts. No information on grants or student advising is explicitly stated in the provided materials.