جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Sandra Transchel is a Full Professor of Supply Chain and Operations Management at Kühne Logistics University (KLU) in Hamburg, Germany. She has held this position since 2019, previously serving as Associate Professor (2011-2019) and Dean of Programs (2014-2015). Her academic journey includes appointments as Assistant Professor at Pennsylvania State University (2008-2011) and Visiting Assistant Professor at Tuck School of Business at Dartmouth (2011). Education includes: PhD in Business Administration, University of Mannheim (2008) Diploma in Business Mathematics, Otto-von-Guericke University Magdeburg (2004) Her research integrates supply chain management, inventory control, and revenue management with a strong focus on retail operations optimization and food supply chain sustainability . Key investigations examine perishable inventory systems, demand-supply synchronization, and substitution behavior. Current projects address food waste reduction through contract-based coordination in fresh food supply chains and development of urban food production networks (FabCity). Publications demonstrate consistent focus on inventory optimization under uncertainty, with recent work extending into pandemic impacts on humanitarian logistics and perishable inventory systems with lead-time variability. Research consistently bridges theoretical models with retail/manufacturing applications. Teaching includes Decision Analysis, Inventory and Warehouse Management, and Warehousing and Intralogistics across BSc, MBA, and MSc programs at KLU.

• Supply Chain Management
• Inventory Control
• Revenue Management
• +۵ مورد دیگر

Steffen Bondorf is a Professor of Distributed and Networked Systems in the Faculty of Computer Science at Ruhr University Bochum, Germany. His research focuses on performance modeling and analysis of deterministic networking, particularly using network calculus to provide rigorous performance guarantees for networked systems. Dr. Bondorf received his B.Sc., M.Sc., and Dr.-Ing. (Ph.D.) in Computer Science from TU Kaiserslautern (TUK), where he was part of the distributed computer systems lab. He was the first student to enroll in a B.Sc. program at TUK before finishing secondary education. After graduation, he held positions as postdoctoral researcher, lecturer and Carl-Zeiss Fellow at TUK, research fellow at the National University of Singapore, and visiting researcher at the University of Toronto. From fall 2018 to fall 2019, he was funded by an ERCIM Alain-Bensoussan fellowship at NTNU Trondheim, Norway, and spent time at INRIA Paris. His research interests include network calculus, deterministic networking, performance modeling, computer networks, distributed systems, and P2P overlays. Dr. Bondorf's work has significantly advanced the field of network calculus, particularly in developing methods for analyzing FIFO feedforward networks, multicast flows, and P2P overlay structures. His recent research has integrated machine learning techniques with network calculus to improve analysis accuracy and efficiency, creating hybrid approaches that leverage the strengths of both methodologies. Dr. Bondorf was appointed as assistant professor at Ruhr University Bochum on October 1, 2019, becoming the university's first hire in the joint tenure-track program for the promotion of young scientists. Since December 1, 2021, he has been a tenured full professor at RUB. Carl-Zeiss Fellow ERCIM Alain-Bensoussan fellowship At RUB, Dr. Bondorf teaches Advanced Topics in Networking, Distributed Systems, Deterministic Network Calculus, and Seminar Distributed and Networked Systems. His research group develops tools and methodologies for deterministic network analysis with applications in industrial networking, real-time systems, and time-sensitive communications. His work bridges theoretical networking principles with practical implementations, contributing to the advancement of deterministic networking standards and protocols.

• Network Calculus
• Deterministic Networking
• Performance Modeling
• +۴ مورد دیگر

Dr. Sönke Knoch is a researcher affiliated with the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus and the German Research Center for Artificial Intelligence (DFKI) GmbH . His work focuses on Human-Computer Interaction , Activity Recognition , Process Mining , and Industry 4.0 technologies. Current Affiliation: DFKI GmbH (Saarland Informatics Campus) Academic Role: Researcher Research Interests span digital twins, augmented reality in manufacturing, and safety-critical systems. He leads projects like RZzKI (AI and Digital Transformation) and BaSySafe (risk assessment via management shells). His work addresses zero-defect manufacturing and cognitive support for impaired workers . Recent Publications focus on digital twins for industrial safety, AR-based task adaptation , and AI quality management in smart factories. Key themes include human-centric AI , real-time process conformance , and context-aware systems . Leadership includes contributing to the WALL-ET project for autonomous logistics and co-developing the PARTAS system for cognitively impaired workers.

• Human-Computer Interaction
• Activity Recognition
• Process Mining
• +۳ مورد دیگر

Roman Franz Froschauer is a Professor of Production Informatics at the Upper Austria University of Applied Sciences, Research Center Wels. Since 2018, he has served as Director of Studies for the Master's program in Robotic Systems Engineering and leads the Smart Automation & Robotics research group. His career spans academic and industrial roles, including senior software development and project management at AlpinaTec Technical Products GmbH (2010-2016). Education: Ph.D. in Computer Science (2010) from Johannes Kepler University Linz; Master's in Industrial Informatics (2005) from Upper Austria University of Applied Sciences. Research Areas: Software engineering for intelligent automation systems, human-robot interaction (HRI), control systems, and applications of IEC 61499 standards. His work focuses on proactive collaboration, trajectory planning, and user-centered design for assistive robots in office and industrial settings. Scientific Activities: Active in peer-review, conference organization, and technology development. Projects include VRoboCoop (human-robot trust), MARIE (office robotics), and Autility (automated utility vehicles). Key Contributions: Frameworks for modular manufacturing (PlugBot), skill-based engineering, and intralogistics automation (ATLAS).

• Software Engineering for Intelligent Automation Systems
• Human-Robot Interaction
• Control Systems
• +۷ مورد دیگر

Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.

• Artificial Intelligence
• Operations Research
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Christof Röhrig is a Professor at the FH Dortmund - University of Applied Sciences and Arts , conducting research at the Institute for the Digitalization of Work and Living Environments (IDiAL). He leads the Intelligent Mobile Systems Lab , focusing on robotics, wireless sensor networks, and kinematic modeling. His research spans mobile robotics , indoor localization , and industrial automation , with a strong emphasis on IoT , 5G networks , and rescue robotics . Key trends in his recent work include LoRaWAN localization , modular robot design , and digital twin architecture . He collaborates extensively on motion control , sensor fusion , and energy-efficient systems , though no specific students, awards, or grants are listed in the provided data. The lab at IDiAL explores robotics in emergency response and industrial IoT applications , with a focus on precision localization and collaborative automation .

• Robotics
• Mobile Robotics
• Wireless Sensor Networks
• +۳ مورد دیگر

Harald Augustin is a Professor at Reutlingen University's ESB Business School, specializing in Industrial Engineering and Logistics. He leads the Virtual Engineering and Training Center (VETC) and the Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics. Current roles: Professor for "Fabriksysteme und Logistik", Director of VETC Research focus: Digital Manufacturing, Lean Logistics, Virtual Reality in Factory Planning Education Diplom-Ingenieur (Maschinenbau, Production Engineering), Karlsruhe Institute of Technology (KIT) Dr.-Ing. (Promotion) in Mechanical Engineering, TU Kaiserslautern Research stays in France, Canada, and Australia Research Interests center on optimizing logistics and production systems through digitalization, lean methodologies, and virtual collaboration. His work includes developing immersive planning systems, risk management frameworks, and agile engineering processes. Lab Affiliations : VETC (Virtual Engineering and Training Center) at ESB Business School Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics

• Industrial Engineering
• Operations Management
• Logistics
• +۶ مورد دیگر

Prof. Elmar Rueckert is the Chair of the Cyber-Physical-Systems Institute at Montanuniversität Leoben in Austria since March 2021. He holds a PhD in Computer Science from TU Graz (2014) and previously served as a Senior Researcher at TU Darmstadt (2014–2018) and Assistant Professor at the University of Lübeck (2018–2021). His research focuses on Cyber-Physical Systems, Robotics, Machine Learning, and Human Motor Control, with applications in industrial automation, healthcare robotics, and environmental sustainability. Key research interests include stochastic machine/deep learning, reinforcement learning, brain-computer interfaces, and tactile learning. His work bridges robotics, neuroscience, and AI, emphasizing practical applications such as autonomous navigation, exoskeleton control, and sensor-based recycling technologies. Rueckert has led projects like the AI Robot Lab funded by Robert Bosch Stiftung and the KIRAMET recycling initiative. Recent publications highlight advancements in neural networks for industrial condition monitoring, multimodal robotic learning, and environmental infrastructure modeling. Awards include the German Young Researcher Award (2019) and the Advanced Robotics Best Paper Award (2018). Rueckert advises a team of researchers, including notable students like Daniel Tanneberg (PhD graduate, 2019) and Linus Nwankwo (best student paper winner, 2023). His lab develops open-source tools like ROMR and collaborates on datasets like EnvoDat for robotic spatial reasoning.

• Cyber-Physical Systems
• Robotics
• Machine Learning
• +۹ مورد دیگر

Prof. Dr.-Ing. Tobias Bornemann holds a Cooperative Professorship for Production & Lean Management at Frankfurt University of Applied Sciences , while also serving as Head of Product Management for Autonomous Mobile Robotics at Continental AG . His work bridges theory and practice in areas such as Lean Management , Industrial Engineering , and Smart Factory through teaching, research, and industry collaboration. His research focuses on Intralogistics , Autonomous Mobile Robotics , and Agile Product Development . He leads projects at the Research Lab for Urban Transport (ReLUT) and contributes to the House of Logistics and Mobility (HOLM) , where he co-developed a learning factory. His publications emphasize Industry 4.0 , AMR fleet management , and digital education tools . Cooperative Professorship at Frankfurt UAS Head of Industrial Engineering (M.Sc.) program Research Lab for Urban Transport (ReLUT) House of Logistics and Mobility (HOLM) collaboration Continental AG Tech Matinees and Ambassadorship His academic efforts include mentorship for students, interdisciplinary teaching , and industry-academia partnerships under the PROFfm initiative.

• Production Management
• Lean Management
• Industrial Engineering
• +۵ مورد دیگر

JESUS GARCIA HERRERO is a Full Professor at the Department of Computer Science , Carlos III University of Madrid , and serves as Director of the Postgraduate School of Engineering and Basic Sciences and the Master's Degree in Applied Artificial Intelligence. His research focuses on Artificial Intelligence , Data Fusion , and Maritime Surveillance , with applications in UAV navigation , sensor integration , and fuzzy systems . Key Research Areas: Machine Learning, Trajectory Analysis, Contextual Data Fusion, Robotics, Maritime Security, and Smart Grids. Notable Projects: ASPID (2024-2027), MARVISION (2024-2025), SIMBAT (2021-2024), and HADA (2023-2024). Contact: jesus.garcia@uc3m.es , jgherrer@inf.uc3m.es

• Artificial Intelligence
• Data Fusion
• Sensor Fusion
• +۴ مورد دیگر

Prof. Tim Gruchmann is a prominent academic specializing in supply chain management and logistics, with a focus on sustainability, technology integration, and systemic resilience. His research explores ethical dimensions in transport logistics, technology acceptance among drivers, and the application of digital twin technologies. He has conducted empirical studies on automotive, food, and pharmaceutical industries, addressing challenges like semiconductor shortages and climate adaptation strategies. His work often bridges theoretical frameworks with practical industry applications, such as dynamic capabilities for resilience and blockchain-driven supply chain innovation. He has contributed to projects supported by the German Federal Ministry of Education and Research (BMBF), including the ADINA initiative on innovative logistics concepts. Research interests span sustainable supply chain governance, automation in warehousing, and logistics social responsibility. His studies analyze consumer behavior in sustainable food networks and the diffusion of labor standards through supply chains. He has authored over 30 peer-reviewed articles since 2017, with recent work emphasizing systemic disruptions and adaptation strategies in long-term crises. Notable projects include scenario planning for transformative supply chains and the development of a sustainable logistics service quality scale for Egyptian providers. His teams investigate ergonomics in intralogistics and the role of dynamic capabilities in local food distribution. Prof. Gruchmann’s research integrates quantitative methods like simulation modeling and system dynamics with qualitative empirical analyses. He collaborates internationally and has advised on policy frameworks for climate mitigation in transport sectors.

• Supply Chain Management
• Logistics
• Sustainability
• +۶ مورد دیگر

Mohammadhossein Malmir is a Researcher at the Chair of Robotics, Artificial Intelligence and Real-time Systems at Technische Universität München (TUM). He joined the chair in November 2019 and currently contributes to the A-IQ Ready project (successor of AI4DI ), focusing on learning algorithms for industrial manipulators and mobile robots in manufacturing and intralogistics tasks. Education B.Sc. in Electrical Engineering (Control Systems) from Amirkabir University of Technology (Tehran Polytechnic) (2014) M.Sc. in Automation and Control Engineering from Politecnico di Milano (2018) His research addresses Sim2Real Transfer , Reinforcement Learning , Robust Control , and Model Predictive Control for autonomous robotic systems. He has published extensively on sim2real policy transfer, domain randomization, and control algorithms for manipulation and navigation tasks. Recent publications highlight his work in dexterous grasping , continual domain adaptation , and deep reinforcement learning for trajectory optimization . His advising roles include supervising 13 master's students and interdisciplinary projects, with co-advisorship on topics like vision-based robotic grasping and socially compliant path planning . He teaches courses on Cognitive Systems and Cloud-Based/Simulation-Based Machine Learning in Robotics , emphasizing reinforcement learning and sim2real methodologies.

• Reinforcement Learning
• Robotic Manipulation
• Sim2Real Transfer
• +۳ مورد دیگر

Prof. Markus Fittinghoff is a Professor of Material Flow and Logistics Planning at Heilbronn University, part of the Faculty of Economics Business Engineering Logistics. His expertise spans simulation of logistics systems, warehouse management systems, and automated block storage systems. He holds a doctorate summa cum laude from TU Dortmund University (2001) in material flow and logistics, with a thesis on parking system performance analysis. Education: Mechanical Engineering (specializing in material flow/logistics) at TU Dortmund University Doctorate (2001): "Performance Analysis of Parking Systems" Professional Experience: 2001–2004: Project Engineer & Management Team Member at AVIPO GmbH (Magdeburg) 2004–2011: Lecturer in Technical Logistics at SRH University of Applied Sciences, Hamm (served as Vice-Rector) 2011–Present: Professor at Heilbronn University, focusing on intralogistics, simulation tools (Plant Simulation, AutoMod), and automated systems optimization. Research & Engagement: Key areas: Throughput analysis of automated warehouses, WMS control strategies, and buffer/warehouse dimensioning Contributions to university committees: Information & Media Committee (2014–2019), Senate (2019–2023) Planned research semester: Summer 2025 Teaching: Supervises bachelor’s/master’s theses on logistics simulation, warehouse systems, and automation solutions. Offers internal simulation projects in production/logistics.

• Material Flow Simulation
• Warehouse Management Systems
• Automated Storage Systems
• +۳ مورد دیگر

Prof. Dr. Sven Völker is a faculty member at Technische Hochschule Ulm , affiliated with the Faculty of Production Engineering and Production Management and the Institute for Business Organization and Logistics (IBL) . He specializes in technologies for Industry 4.0 , with a focus on material flow simulation, digital factory design, and optimization methods in production planning and control. Teaches Enterprise Information Systems and Digital Factory Planning in the Systems Engineering and Management program. Active in simulation-based optimization and digitalization scenarios for logistics and manufacturing systems. Research Interests: His work bridges industrial engineering and computer science , emphasizing simulation tools, ERP systems, and lifecycle management of digital models. Recent publications explore Machine Learning applications in production planning, OPC UA communication for logistics systems, and augmented reality in manufacturing demonstrations. Publications: His research spans 2010–2023, covering simulation-based optimization of supply networks, discrete-event modeling, and Industry 4.0 integration. Keywords include Operations Research , Robotics , and Digital Twins , with sub-fields like Logistics Automation and Flexible Manufacturing . Memberships: Institute for Higher Education Didactics (IHD) Institute for Applied Research (IAF)

• Industry 4.0 Technologies
• Material Flow Simulation
• Production Planning and Control Optimization
• +۴ مورد دیگر

Professor Wolfgang Echelmeyer is a faculty member at Reutlingen University’s Faculty of Sustainability and Technology, specializing in Technical Logistics. His research focuses on logistics automation, human-robot interaction, and sustainable supply chain systems. Position: Professor Department: Technical Logistics Email: wolfgang.echelmeyer@reutlingen-university.de Research interests include robotic container unloading, lean logistics, and ergonomics in automated systems. Recent projects involve EU-funded initiatives like RobLog (EU# 270350) for cognitive robotics in freight handling. His work spans applications in city logistics, milk-run transportation systems, and decision support tools for automation investments. Key article trends explore robotics in logistics, sustainability in freight systems, and ergonomic resource planning. Publications from 2018–2024 emphasize innovative solutions for intermodal terminals, deformable cargo handling, and smart transportation networks. Administrative roles include Dean of Studies for the BSc in Sustainable Production and Business and Pro-Dean for Teaching at the Faculty of Sustainability and Technology. Collaborators include Marco Bonini, Tuan Nguyen, and Augusto Urru. Labs and teams: Active in projects like LogFabr (Logistics Fabrication) and partnerships with industry leaders such as Merck AG, Proctor & Gamble, and STIHL. His work addresses real-world challenges in logistics planning and automation deployment.

• Logistics and Supply Chain Management
• Material Handling
• Operations Research
• +۳ مورد دیگر