جست‌وجوی استاد و پژوهشگر

Dominic Henzeمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Smart Environments
• Machine Learning Applications
• +۱ مورد دیگر

Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.

• Autonomous Vehicles
• Vehicle Control Systems
• Traffic Safety
• +۵ مورد دیگر

Jonas Sjoberg is a Professor of Mechatronics at Chalmers University of Technology and leader of the Mechatronics research group. His work spans over 30 years with 143 publications and leadership in 29 research projects. His current research focuses on autonomous vehicle systems, vehicle dynamics, and traffic safety applications. Dr. Sjoberg's research interests center on mechatronic systems for transportation applications. His work bridges theoretical control systems with practical automotive implementations, particularly in autonomous vehicle technology. His research group investigates vehicle dynamics, path planning, intersection management, and safety systems, with growing emphasis on micromobility applications including autonomous bicycles and pedestrian interaction. Recent work demonstrates strong focus on real-world applications of control theory to improve vehicle safety and performance. His publication record shows consistent output with 15+ papers annually, demonstrating sustained research activity. The work spans fundamental control theory (system identification, nonlinear control) to applied transportation problems (intersection management, road surface estimation, autonomous docking). Recent publications show increasing focus on micromobility applications, particularly autonomous bicycles, and integration of machine learning techniques with traditional control approaches. Dr. Sjoberg leads multiple significant research projects including MicroSIM (2026-2027), Mintox (2025-2026), and MicroITS, with funding from VINNOVA, EU, and industry partners. His projects address critical challenges in autonomous vehicle safety, micromobility integration, and traffic management. As leader of the Mechatronics research group, Dr. Sjoberg oversees research on vehicle control systems, autonomous driving technologies, and safety applications. His laboratory work focuses on practical implementation of theoretical control concepts, with recent emphasis on bicycle dynamics and micromobility safety systems.

Rainer Kolischمشاهده پروفایل

استاد

• Airport Operations Management
• Health Care Operations Management
• Project Management and Scheduling
• +۲ مورد دیگر

Rainer Kolisch is a Professor of Operations Management at the TUM School of Management, Technical University of Munich , where he has held a chair since 2002. He currently serves as Head of the Operations & Technology Department (since 2024) and previously as Dean of the QTEM Masters Network (2016–present) and Vice Dean of International Affairs (2007–2020). His career includes academic roles at Technical Universities of Dresden (Full Professor, 2002) and Darmstadt (Associate Professor, 1999–2002). Affiliations: TUM School of Management, Technical University of Munich Editorial Roles: Editor-in-Chief of OR Spectrum (2014–2020), Member of editorial boards for journals like International Journal of Production Research Research Interests focus on Airport Operations Management , Health Care Operations Management , Project Management and Scheduling , and Engineer-to-Order Manufacturing . His work addresses dynamic scheduling, resource allocation, and robust optimization in transportation and healthcare systems, with recent studies on electric vehicle charging networks and agile project management. Scientific Awards include: Best Teaching Award (2022) Excellence in Reviewing (2022) OMEGA Best Paper Award (2021) Handelsblatt Research Recognition (2005) DFG Habilitation Fellowship Advising spans numerous PhD and Master’s students , including Christopher Bersch, Robert Brachmann, and Giacomo Dall'Olio. His grants likely include DFG funding, though specifics are not detailed here.

• Task-Oriented Knowledge Acquisition
• Online Learning and Control
• Human-Robot Interaction
• +۴ مورد دیگر

Mahsa Ghasemi is an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering, Purdue University, located in West Lafayette. She holds a B.Sc. in Mechanical Engineering from Sharif University of Technology (2014), an M.S.E. in Mechanical Engineering from The University of Texas at Austin (2017), and a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin (2021). Her research focuses on task-oriented knowledge acquisition, online learning and control, human-robot interaction, trustworthy AI, and socially beneficial autonomy. She is affiliated with the Materials and Electrical Engineering Building at Purdue. Education: B.Sc., Mechanical Engineering, Sharif University of Technology (2014) M.S.E., Mechanical Engineering, UT Austin (2017) Ph.D., Electrical and Computer Engineering, UT Austin (2021) Her research interests span interdisciplinary areas including reinforcement learning, causal inference, control systems, and human-autonomy collaboration. Recent work emphasizes resilient cyber-physical systems, privacy-preserving multi-agent learning, and causal discovery in decision-making frameworks. Her articles address challenges in sensor selection, no-regret learning in bandits, and formal methods for autonomous systems. Publications highlight contributions to submodular optimization in hypothesis testing, robust sensor scheduling in intrusion detection, and adaptive experimental design for causal discovery. Her work bridges theoretical foundations with practical applications in robotics, cybersecurity, and AI ethics. No scientific awards or grants are explicitly listed in the provided data. She advises no listed students but collaborates on projects involving diverse planning and decision-making in constrained environments.

Tuba Bakiciمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Technology Innovation
• +۵ مورد دیگر

Tuba Bakici, Ph.D., serves as an Associate Professor of Information Systems at EDHEC Business School within the Strategy, Entrepreneurship & Operations faculty. Her extensive research portfolio spans over 15 years of contributions to top-tier journals including IEEE Transactions on Engineering Management, Information Technology & People, and International Journal of Information Management. Funded by prestigious bodies like the Agence Nationale de la Recherche (ANR) and European Commission, her work bridges theoretical frameworks with practical applications in organizational technology adoption and digital transformation. Dr. Bakici's research centers on Human-Computer Interaction, Human-AI Interaction, Technology Innovation, and Sustainable IT, with recent emphasis on sustainable digital consumption and techno-stress phenomena. Her investigations into digital frugality, techno-isolation, and enterprise social media reveal critical insights about psychological impacts of technology in workplaces. She systematically examines how emerging technologies like blockchain and big data affect project management competencies, organizational behavior, and sustainability outcomes, particularly through multi-country studies that highlight cross-cultural dimensions of digital adoption. Analysis of her 2019-2025 publications shows a decisive shift toward integrating sustainability with digital innovation, where human-AI interaction and psychological consequences of technology use dominate her current scholarship. Her work consistently addresses organizational pain points in technology implementation, especially regarding remote work challenges, resource efficiency, and the social dynamics of enterprise platforms. This evolution reflects both academic rigor and practical relevance in navigating the complex interplay between technological advancement and human factors. While specific awards aren't documented in available materials, Dr. Bakici's sustained success in securing competitive ANR and European Commission grants demonstrates significant peer recognition. Her collaborative projects involve interdisciplinary teams across multiple countries, indicating strong international research networks. Though student advising details aren't specified, her active publication record and project leadership suggest ongoing mentorship of graduate researchers in information systems and digital innovation fields.

• Smart Grids
• Electricity Markets
• Multi-Energy Systems
• +۷ مورد دیگر

Dr. Seyedamir Mansouri is a postdoctoral researcher at the Institute for Research in Technology (IIT) of Comillas Pontifical University, Madrid, Spain. He holds a PhD (2020) and MSc (2015) in Electrical Engineering from Tehran, Iran. Amir's research focuses on smart grids , multi-energy systems , and hydrogen-based technologies for carbon-neutral energy transitions. Education : MSc (2015) and PhD (2020) in Electrical Engineering, Tehran, Iran Collaborations : INESC TEC (Porto, 2019), Northumbria University (2022) His work explores IoT-enabled energy management , resilience enhancement , and stochastic optimization for microgrids and industrial parks. Recent articles address decentralized coordination frameworks, hydrogen station integration, and flexibility markets using ADMM algorithms and Stackelberg game theory. Amir's publications (over 30 since 2020) appear in IEEE Transactions on Industrial Informatics , Applied Energy , and Energy . He contributes to projects like OptiREC (MCIN-funded, 2022-2025) and serves as an editor for Towards Future Smart Power Systems (2025). His technical skills include GAMS , MATLAB , and Python .

Paweł Myszkowskiمشاهده پروفایل

استاد

• Evolutionary Computation
• Metaheuristics
• Multi-objective Optimization
• +۷ مورد دیگر

Paweł Myszkowski is a Professor at Wrocław University of Science and Technology, affiliated with the Department of Artificial Intelligence within the Faculty of Computer Science and Management. He is a key member of the Metaheuristics Team and actively contributes to research in evolutionary computation, multi-objective optimization, and scheduling algorithms. His research focuses on evolutionary algorithms , metaheuristics , and multi-objective optimization , particularly applied to the Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). He has developed hybrid algorithms combining differential evolution, greedy methods, and ant colony optimization. His work includes the creation of benchmark datasets (iMOPSE) and quality measures for optimization algorithms. The recent publications show a strong trend in algorithmic innovation for complex scheduling and design automation , with applications in architectural design and financial modeling. His work bridges theoretical optimization and practical implementation in software systems. Golden Badge of Wrocław University of Science and Technology He supervises diploma theses and collaborates extensively with researchers such as Maciej Laszczyk and Marek Skowroński. He has contributed to the development of tools and benchmarks that support reproducibility and comparative evaluation in computational intelligence research. He is involved in research projects on dark-box optimization, multi-criteria optimization for classifiers, and application-aware network optimization, indicating an ongoing active research agenda.

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +۷ مورد دیگر

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

Massimiliano M. Schiraldiمشاهده پروفایل

استاد

• Production Systems Management
• Logistics and Supply Chain Management
• Industrial Plant Design and Engineering
• +۸ مورد دیگر

Massimiliano M. Schiraldi is a Full Professor of Industrial Plants at the University of Rome Tor Vergata, where he teaches Industrial Plants and Production Management at the School of Engineering. He also teaches Lean Production and Operations Management in the Master's program in Business Engineering. His academic appointment is in the Department of Business Engineering (IIND-05). Professor Schiraldi received his PhD in Management Engineering in 2003 and has been teaching Operations Management subjects since 2000. His research interests span multiple areas of industrial engineering and operations management, including production systems management, logistics and supply chain optimization, industrial plant design, production cost reduction techniques, and production information systems. He has pioneered approaches in Lean Production, Six Sigma standards, and advanced production management techniques with hybrid kanban systems. Professor Schiraldi's recent publications demonstrate his continued leadership in operations management, with a focus on digital transformation, performance measurement, Industry 4.0 technologies, and the human factor in operations excellence. His work bridges theoretical research with practical applications in manufacturing and service industries. Co-Editor of the International Journal of Engineering Business Management (Sage) Area-Editor (Supply Chain Management & Logistics) of Computers and Industrial Engineering (Elsevier) Reviewer for many primary international journals including International Journal of Production Research and International Journal of Logistics Systems and Management Professor Schiraldi has supervised over 20 PhD students and more than 300 undergraduate theses, many of which were conducted in collaboration with major Italian and multinational companies. He has participated in over 50 research and consulting projects with industrial companies at national and international levels. He established the Operations Excellence Think Tank and has served in numerous administrative roles at the university, including as Rector's Delegate for major events and coordinator of university merchandising and social media. He maintains strong industry connections with companies including Amazon, Ferrero, Calzedonia, Gucci, Ferrari, Johnson & Johnson, and many others across various sectors. Internationally, he serves as a Guest Professor at Guizhou University of Finance & Economics in China and a Visiting International Fellow at the University of Essex in the UK.

• Enterprise Resource Planning (ERP)
• Industry 4.0
• Internet of Things (IoT)
• +۷ مورد دیگر

Paolo Chiabert is a Tenured Associate Professor at the Department of Management and Production Engineering (DIGEP) of the Polytechnic of Turin . He is also a member of the CARS@PoliTO Center focusing on Automotive Research and Sustainable Mobility. His academic career spans multiple international engagements, including teaching roles at the Turin Polytechnic University in Tashkent (2013-2014). Research interests include: Enterprise Resource Planning (ERP) Industry 4.0 and 5.0 technologies Internet of Things (IoT) for smart production Lean Manufacturing methodologies Manufacturing Execution Systems (MES) Product Lifecycle Management (PLM) systems His research projects involve: CAPT'N'SEE (2021) - Additive Manufacturing for luxury industry HOME (2018-2021) - Hierarchical Open Manufacturing Europe FlexAGV (2017) - Flexible AGV systems DISLO-MAN (2016-2019) - Industry 4.0 shopfloor operations Scientific contributions focus on IoT integration , digital twin frameworks , and sustainable manufacturing , with recent works on: AI sustainability across product lifecycles One-of-a-kind production optimization IoT taxonomy for Industry 4.0 education Hybrid machine learning for aeroponic systems Knowledge reuse barriers in product development He supervises PhD students including: Temur Turgunboev - Remote multi-agent collaboration Niccolo' Giovenali - Irregular shape packing algorithms Luigi Panza - Technological innovations for sustainable manufacturing Mansur Asranov - IoT for Smart Production Ahmed Mekki Awouda - Industry 5.0 compliant IoT architectures Active in teaching at all levels, with recent courses in: Lean Manufacturing approaches Industry 4.0 production systems Production management fundamentals Graphical communication and mechanical manufacturing Industrial programming laboratory

• Operational Research
• Optimization Methods
• Logistics and Supply Chain Management
• +۷ مورد دیگر

Manuel Iori is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia (UNIMORE), Italy. His primary research focuses on operational research, optimization methods, and logistics systems. He specializes in vehicle routing problems, scheduling algorithms, and decision support systems with applications in industrial automation, healthcare, and service industries. Iori is actively involved in teaching advanced optimization courses for engineering students, emphasizing practical applications in data-driven decision-making and simulation. Research Interests: His work addresses complex optimization challenges such as multi-trip vehicle routing with time windows, scheduling under resource constraints, and tool switching in manufacturing systems. He integrates machine learning and metaheuristics to develop innovative solutions for logistics, production planning, and healthcare operations. Collaborations with industry partners (e.g., pharmaceutical distributors, printing companies) ensure practical relevance of his research. Teaching: Iori teaches courses like Optimization Methods for Data-Driven Engineering Processes , Models for Logistics and Production Optimization , and Methods and Algorithms for Optimization in Digital Industries . These courses combine theoretical foundations with hands-on labs using tools like Python, Xpress, and Anylogic. Key Contributions: He developed decision support systems for multi-trip routing in pharmaceutical distribution and supplier selection in facility management. His research on satellite scheduling and attended home delivery systems advances both theoretical and applied domains. As a member of CIRRELT (Canada), he collaborates on logistics optimization projects. Professional Activities: Iori’s work is reflected in over 80 peer-reviewed publications and contributions to conferences. He advises graduate students on optimization challenges and serves as a reviewer for top journals in operations research.

• Logistics
• Supply Chain Management
• Risk Management
• +۳ مورد دیگر

Dr. Eng. Paweł Michalski is a researcher and academic affiliated with the Department of Logistics at Wrocław University of Economics. His work focuses on logistics applications in extreme environments, supply chain optimization, and expedition project management. He conducts consultations via MS Teams on Thursdays during the winter semester 2024/25, offering expert advice on logistics and project management challenges. Consultations are held from 3:00 p.m. to 4:30 p.m. CET. His research interests span logistics in high-altitude expeditions, risk management frameworks, and supply chain dynamics in construction and pharmaceutical industries. Notable contributions include studies on acclimatization processes in mountainous regions, resilience-building in project teams, and the application of lean principles to construction logistics. Między his publications highlight interdisciplinary approaches, bridging logistical theory with practical implementations in adventure tourism, environmental sustainability, and crisis management. His work frequently addresses human resource management aspects, emphasizing team selection and leadership in high-stakes environments. Dr. Michalski’s research also evaluates European logistics markets, analyzing 3PL operators and industry trends. He maintains an active professional website at pawelmichalski.com , which serves as a hub for his academic resources and expedition logistics guides.

• Operations Research
• Disaster Response Management
• Project Scheduling
• +۳ مورد دیگر

Niels-Fabian Baur is a Researcher at the University of Hildesheim , affiliated with the Department of Business Administration and Operations Research under the Institute of Business Administration and Business Information Systems. His work focuses on Operations Research , Disaster Response Management , and Resource Allocation . Research Interests: Baur specializes in optimization techniques for project scheduling in disaster scenarios, addressing challenges like scarce resources and multi-skilled workforce deployment. His research integrates Sustainability and Logistics in urban planning contexts, particularly in last-mile delivery systems . He applies heuristic algorithms and scenario-based planning to improve emergency operations. Article Trends: His publications emphasize resource-constrained project scheduling , disaster recovery logistics , and sustainability in urban planning . Key areas include multi-skilled workforce management , emergency staffing , and algorithm design for crisis scenarios .

Andrea Belliniمشاهده پروفایل

دانشیار

• Economic Sociology
• Labor Relations
• Professional Sociology
• +۳ مورد دیگر

Andrea Bellini is an Associate Professor at Sapienza University of Rome's Department of Social and Economic Sciences, where he teaches and conducts research in economic sociology and labor sociology. He earned a PhD in Sociology from the University of Florence, focusing on middle-class representations in social theory. Academic Affiliation: Department of Social and Economic Sciences, Sapienza University of Rome Education: PhD in Sociology, University of Florence (thesis on middle-class representations) His research explores professions and industrial relations with particular focus on new forms of work organization and representation in cultural and creative industries. He leads national and international research projects funded by entities like the European Commission, examining topics such as: Labor market transparency and skill recognition Professionalism in globalizing contexts Unionization through service innovation Small firm labor regulation Creative work dynamics Participatory governance models Recent publications address professionalism differentiation (2023), healthcare worker identity (2023), and labor market transparency (2025). His 15 most recent articles (2018-2025) span labor economics, professional sociology, and cultural theory with specific subfields like digital creative work regulation, migrant professional integration, and institutional change. He serves as: Board Member & Secretary/Treasurer of Research Committee 52 (Sociology of Professional Groups) at International Sociological Association Member of doctoral faculty in Social and Economic Sciences, Sapienza Peer reviewer for leading journals including American Journal of Sociology and Social Policy and Administration Teaching activities include: Social Policy (STESS) Professions and Management of Social and Health Services (PROSS) Economic Sociology Sociology of Labor Markets Office hours available via email scheduling and Zoom meetings at https://uniroma1.zoom.us/my/andreabellini .

Kate Hanمشاهده پروفایل

مدرس

• Scheduling and Timetabling
• Transportation Simulation and Optimization
• Metaheuristics and Evolutionary Algorithms
• +۴ مورد دیگر

Dr. Kate Han serves as a Lecturer at Salford Business School, University of Salford, specializing in computational optimization and AI-driven solutions for real-world business and transportation challenges. Her academic foundation includes a PhD in Software Engineering from Queen's University Belfast (2018), where she pioneered hyper-heuristic approaches for timetabling problems using reinforcement learning. Affiliated with the Salford Business School Research Centre, she actively contributes to UN Sustainable Development Goals for quality education, sustainable industry, and resilient cities. Dr. Han's research expertise spans: Scheduling and timetabling optimization using metaheuristics Transportation simulation with evolutionary algorithms Ensemble learning and deep neural network architectures Data-driven business process automation AI-assisted educational innovation in higher education Her work bridges theoretical AI advancements with practical applications in public transport, sustainable infrastructure, and business education transformation. Recent publications (2023-2025) reveal a strategic shift toward sustainable transportation systems and educational technology. Key trends include optimizing connected autonomous vehicle integration in multi-modal networks using evolutionary algorithms, developing novel ensemble selection techniques (VISTA/VEGAS), and pioneering generative AI applications for business education. These efforts consistently align with net-zero emission goals and digital transformation imperatives across sectors. Her scientific recognition includes: Hornory Lecturer award (2022) for honorary research contributions Dr. Han teaches advanced business technology courses including AI in Practice, Business Data Information Analytics, and Prompt Engineering for Business. She actively collaborates with government bodies and industry partners on real-world projects, though specific grant details remain undisclosed. Her research methodology emphasizes stakeholder engagement across diverse project scales, from micro-level business process automation to macro-level urban transport simulations. As a core contributor to Salford Business School's research ecosystem, she participates in international initiatives like the 2024 International Conference on Software Engineering and Cybersecurity. Her work demonstrates how computational intelligence can drive sustainable industrial innovation while advancing educational practices in the post-pandemic era.