جست‌وجوی استاد و پژوهشگر

Jutta Geldermannمشاهده پروفایل

استاد

• Sustainable Production Systems
• Logistics Optimization
• Multi-criteria Decision Support
• +۴ مورد دیگر

Prof. Jutta Geldermann is a Full Professor and Chair Holder for Business Administration and Production Management at the University of Duisburg-Essen's Faculty of Engineering. She holds a diploma in Industrial Engineering and a PhD from the Karlsruhe Institute of Technology (KIT), followed by a habilitation in Business Administration. Her career includes leadership roles such as Full Professor and Chair Holder at Georg-August-University of Göttingen (2006-2018), Dean of the Faculty of Business and Economics, and Head of the Energy Economics Research Area at the Energy Research Center of Lower Saxony (2009-2018). Her research focuses on sustainable production and logistics systems, multi-criteria decision support, and life-cycle assessment (LCA), with over 50 industry- and publicly funded projects. Current roles include President of the German Operations Research Society (GOR) and Editor-in-Chief of the EURO Journal on Decision Processes . Research interests emphasize energy efficiency, renewable resources, and decision-making frameworks. She has led initiatives such as the DFG Research Training Group 1703 on resource efficiency in interorganizational networks. Professional engagements include board memberships in GOR, VHB (German Academic Association of Business Research), and the Energy Research Center Lower Saxony (EFZN). Publications span multi-criteria analysis, energy systems, and sustainable logistics, reflecting her expertise in bridging academic research with practical applications in industry and policy.

Michalis Michaelidesمشاهده پروفایل

استادیار

• Communication Systems
• Wireless Sensor Networks
• Environmental Monitoring
• +۶ مورد دیگر

Michalis Michaelides is an Assistant Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at the Cyprus University of Technology , where he has held a tenure-track position since 2012. He holds a PhD in Electrical Engineering from the University of Cyprus (2009), and earlier degrees from Purdue University (MSEE, 1998; BSEE, 1997). His research focuses on communication systems, wireless sensor networks, environmental monitoring, and computational intelligence applications in maritime logistics and smart infrastructure. He received the Elsevier Building and Environment Journal Best Paper Award in 2014. His work spans smart port operations , IoT integration , and data-driven environmental modeling . Recent publications address berth allocation optimization, vessel arrival prediction, CO2-based virus transmission risk analysis, and AI-driven maritime terminal management. His interdisciplinary approach combines signal processing, optimization algorithms, and sensor networks to solve challenges in transportation, environmental sustainability, and public health. Education: PhD in Electrical Engineering, University of Cyprus (2009) MSEE, Purdue University (1998) BSEE, Purdue University (1997) Awards: Elsevier Building and Environment Journal Best Paper Award (2014) His research group collaborates on projects like intelligent irrigation systems and coastal eutrophication analysis , leveraging computational intelligence for real-world applications. Ongoing work emphasizes port efficiency, sensor network reliability, and decision support systems for maritime logistics.

Haydar Mücahit ŞİŞLİOĞLUمشاهده پروفایل

استادیار

• Logistics Management
• Supply Chain Management
• Port Performance Evaluation
• +۷ مورد دیگر

Haydar Mücahit ŞİŞLİOĞLU is an Assistant Professor and Department Head in the Department of Logistics Management at Beykent University, Faculty of Economics and Administrative Sciences. He has previously held academic positions at BeYOZ University, Istanbul City University, and Yeditepe University, demonstrating a consistent trajectory in logistics and supply chain education. His research interests are centered on logistics management , port performance evaluation , container terminal operations , and infrastructure investment analysis . He also explores organizational behavior topics such as organizational justice and employee well-being in the retail sector. His work integrates quantitative methods including simulation modeling and multi-criteria decision-making (AHP, COMET). The recent articles highlight a strong focus on maritime logistics, particularly evaluating port performance during the pandemic and optimizing terminal productivity through simulation. His publications appear in journals such as Maritime Policy Management (SSCI-indexed) and Beykoz Academy Magazine (TR INDEX), reflecting both international and national scholarly engagement. He has supervised multiple graduate theses on topics including rail freight transport, container freight cost calculation, digital supply chains, and risk mitigation in international transportation, indicating an active role in student mentorship. Professional memberships include being a member of ROMA Journal (2025) and LODER (2021), contributing to his academic network in logistics and operations research.

Seyed Mojib Zahraeeمشاهده پروفایل

مدرس

• Biomass Renewable Energy
• Supply Chain Management
• Sustainability Assessment
• +۷ مورد دیگر

Seyed Mojib Zahraee is a Lecturer at RMIT University's School of Engineering , specializing in Mechanical, Manufacturing, and Mechatronic Engineering . With a PhD in 2022, he focuses on biomass supply chains, renewable energy systems, and logistics optimization. Expertise in supply chain resilience , lean manufacturing , and environmental emissions analysis Recognized as top 2% scientist globally (Stanford/Elsevier, 2020-2024) and Australia Global Talent Visa recipient Research Trends: Zahraee's work spans biomass logistics , hydrogen economy planning , and sustainable transportation systems , with recent publications emphasizing maritime supply chain emissions , closed-loop resource recovery , and lean manufacturing frameworks . His 350+ peer reviews in energy journals highlight his sector influence. Scientific Awards: Australian National Innovation Visa (2022) RMIT Research Stipend Scholarship (2018) Best Publication Award (2017) Graduate Assistantship Scheme (2016) World top 0.5% scholar (2024) Teaching includes Integrated Logistics Support Management and Environmental Systems Engineering , with sessional roles in Systems Engineering Principles and Professional Engineering Practice . Collaborations span Melbourne's street space allocation studies , UNESCO women in STEM research , and Palm Oil biomass projects in Malaysia.

Julian Neugebauerمشاهده پروفایل

پژوهشگر

• Digital Twins
• Seaport Logistics
• Transportation Systems
• +۳ مورد دیگر

Julian Neugebauer is a Researcher at the Institute of Information Systems within the University of Hamburg Business School at the University of Hamburg. His work focuses on digital transformation in seaport logistics, with a particular emphasis on digital twins and automation technologies. He is affiliated with the Von-Melle-Park campus, office VMP 5, room 3061. Neugebauer's research interests revolve around the application of digital twins in seaport environments, dynamic driving systems in terminals, and the integration of automation technologies into maritime logistics. His recent work explores both current implementations and future potentials of these technologies. His publications highlight trends in smart port infrastructure , autonomous systems , and data-driven port optimization . While no scientific awards are listed, his contributions address critical challenges in port efficiency and innovation. No advising or grant details are provided in the source text. Neugebauer is part of the Institute of Information Systems team, collaborating on projects that bridge information systems and operational logistics.

Ahmet Cürebalمشاهده پروفایل

پژوهشگر

• Operations Research
• Linear Programming
• Mixed-Integer Programming
• +۵ مورد دیگر

Ahmet Cürebal is an External Doctoral Researcher at the Institute of Information Systems, part of the Business School at the University of Hamburg. He holds B.S. and M.S. degrees in Industrial Engineering from Kirikkale University, Turkey, and is currently pursuing his Ph.D. His research focuses on Operations Research with specializations in Linear Programming (LP), Mixed-Integer Programming (MIP), Combinatorial Optimization, Scheduling, Assignment, and Routing problems within Supply Chain contexts. Key research interests include solving real-world optimization challenges such as staff scheduling in retail sectors, driver workload balancing in logistics firms, and pandemic-era security personnel allocation. His work often involves applying metaheuristic methods like Variable Neighborhood Search (VNS) and Fixed Set Search (FSS) to complex operational problems. Notable publications explore applications such as straddle carrier routing in container terminals, bus route optimization for high-speed rail integration, and competency-based scheduling during crises. His methodologies frequently integrate Goal Programming and Analytical Network Process (ANP) for multi-criteria decision-making scenarios. Cürebal’s research demonstrates a strong emphasis on practical implementations across diverse industries, including healthcare, logistics, and retail, with a focus on balancing efficiency and real-world constraints through advanced mathematical modeling and algorithmic approaches.

Wolfgang Echelmeyerمشاهده پروفایل

استاد

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

Bernardo Martin Iradiمشاهده پروفایل

مدرس

• Public transportation
• On-demand mobility
• Maritime logistics
• +۳ مورد دیگر

Bernardo Martin Iradi is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. He holds a PhD in Operations Research from DTU Management (Technical University of Denmark) and has served as a Postdoctoral researcher and teaching assistant at ETH Zurich since 2023. His professional experience includes roles as a Doctoral researcher at DTU, a routing consultant at AMCS Group, and teaching responsibilities in courses like Logistics and Freight Transportation and Transport Systems. His research focuses on public transportation optimization , on-demand mobility systems , maritime logistics , and network optimization . Notable projects include developing algorithms for railway timetabling stability, cooperative game analysis in multi-port operations, and dynamic capacity planning for multimodal transit systems. Recent work emphasizes microscopic modeling of railway networks, logic-based decomposition approaches for timetabling, and stochastic optimization for demand-responsive transit. He has presented at leading conferences such as RailDresden 2025 and TRISTAN XII, showcasing advancements in transportation systems optimization. Education: PhD in Operations Research (2019–2023), DTU Management MSc in Industrial Engineering and Management (2016–2018), Technical University of Denmark BSc in Industrial Technology Engineering (2011–2015), Polytechnical University of Catalonia Professional contributions include collaborations with industry partners like AMCS Group and involvement in projects like the DADA initiative addressing railway delay propagation. His work bridges theoretical optimization methods with practical transportation challenges.

Octavian Postolacheمشاهده پروفایل

دانشیار

• IoT Systems for Healthcare
• Smart Sensors for Biomedical Applications
• Ubiquitous Computing
• +۳ مورد دیگر

Octavian Postolache is an Associate Professor with Habilitation at the Department of Information Science and Technology (DCTI) of ISCTE - Lisbon University Institute. He serves as Director of the Doctoral Program in Information Science and Technology and as Director of the Telecommunications Institute Delegation. Additionally, he is a Senior Researcher at the Telecommunications Institute, an IEEE Lecturer, and President of the IEEE IMS Portuguese Chapter. His research interests span IoT systems for healthcare , smart sensors for biomedical applications , ubiquitous computing , embedded artificial intelligence , and VR/AR environments supporting physical therapy. He actively participates in national and international research teams, including Portuguese, EU, and global projects. Recent publications highlight his work on: maritime AI for ship detection and trajectory prediction; IoT security using blockchain and ensemble methods; digital twin applications for horticulture and port automation; and embedded systems for biomedical calibration and environmental monitoring. His articles emphasize IoT integration , AI-driven optimization , and real-time data processing across diverse domains like healthcare, agriculture, and industrial logistics. Octavian contributes to advancing smart sensing and digital twin frameworks , particularly in healthcare and precision agriculture. His work bridges machine vision , sensor calibration , and network reliability in challenging environments, such as remote rural areas and maritime operations. He leads initiatives in IoT standardization and embedded AI , collaborating with institutions like the Telecommunications Institute and IEEE. His research explores non-intrusive cardiorespiratory assessment , UWB indoor localization , and stress monitoring via physiological parameters .

Maria Burnsمشاهده پروفایل

استادیار

• Data Science
• Network Analysis
• Security Studies
• +۵ مورد دیگر

Maria Burns is an Assistant Professor in the Department of Construction Management/Political Science at the University of Houston’s College of Technology. Her research focuses on the intersection of data science, security, and logistics, with applications in energy, maritime, and homeland security sectors. She specializes in network analysis, AI-driven risk assessment, and policy analysis for critical infrastructure protection. Her work integrates multidisciplinary approaches including machine learning, time-series forecasting, and data visualization to address complex challenges such as human trafficking, cargo security, and port resilience. Key areas include supply chain vulnerability analysis, maritime security protocols, and the economic/environmental impacts of port activities. Burns has contributed to numerous DoS- and DHS-funded training manuals and courses, including 'Global Supply Chain Security' and 'UN Security Resolutions and WMD.' Her research also explores energy security paradoxes, intermodal transport risks, and crisis management strategies. Recent publications highlight innovative applications of AI in security technology and policy-driven solutions for modern security challenges. Her funded projects emphasize practical outcomes, such as optimizing port operations through 5G connectivity and enhancing border management through strategic convergence of trade and immigration policies. Burns’ work bridges academia and industry, offering actionable insights for public and private sector stakeholders.

Aleksandra Teresa Wiśniewskaمشاهده پروفایل

استادیار

• Simulation Tools
• Fuzzy Logic Applications
• Logistics Optimization
• +۴ مورد دیگر

Ph.D. Eng. Aleksandra Teresa Wiśniewska is an Assistant Professor at Gdańsk University of Technology's Faculty of Mechanical Engineering and Ship Technology. She has held multiple leadership roles, including Vice-Dean for Education (2020–2024) and serves as an e-learning consultant/administrator (since 2015). Her academic journey includes a PhD in Mechanical Engineering (2008) and postgraduate studies in Scandinavian Studies, Research Project Management, and Lean Manufacturing. Education history: Master's in Automation and Robotics (Gdańsk Tech, 1995–2000) Postgraduate studies in Control & Management of Lean Manufacturing (Fachhochschule Karlsruhe, 1998–2000) Postgraduate in Research Project Management (Gdańsk Tech, 2010–2011) Postgraduate in Scandinavian Studies (University of Gdańsk, 2019–2020) Research focuses on optimizing manufacturing processes using simulation tools and fuzzy logic, particularly in logistics, quality management (TQM/ISO standards), and Lean Production. She explores machine repair principles, automated systems design, and productivity-enhancing investments. Key areas include flexible manufacturing systems (FMS) and adaptive quality control. Her publications span over 20 years, emphasizing fuzzy logic applications in manufacturing control, port logistics optimization, and sustainable energy transitions. Recent works address online education strategies and infrastructure management case studies. Awards: 2022 Rector Award (faculty consolidation), 2019 Rector Award (didactic excellence) Grants/Projects: Polish-French bilateral research (2004–2008), STER R&D internship (2012), KBN grant (2006–2008) She advises PhD student Bogdan Ścibiorski and coordinates internships/teams in educational practice. Active in the Polish Society of Production Management (since 2023).

Saulius Gudasمشاهده پروفایل

استاد

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +۵ مورد دیگر

Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University . His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania. Education & Background: While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status. Research Interests: Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems . Core themes include: Causal knowledge modelling to enhance agile enterprise application development. Model-driven approaches for ensuring business-IT alignment. Deep knowledge-based evaluation and interoperability of enterprise applications. Quality modelling of web services and financial process mining. Publication Trends: Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection. Doctoral Supervision & Training: Prof. Gudas has successfully supervised the following PhD projects: Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019). Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020). Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023). Laboratory & Team Involvement: As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.

• Materials Science
• Nanotechnology
• Maritime Engineering
• +۶ مورد دیگر

Yasin Arslanoglu is a Professor at Istanbul Technical University's Department of Fundamental Sciences. His work bridges materials science, maritime engineering, and risk assessment with over 20 publications and 6 led projects. His research focuses on phthalocyanine-based materials, nanotechnology, and maritime safety systems. Education details not explicitly listed. Research Interests Dr. Arslanoglu's research spans: Phthalocyanine synthesis and photophysical properties Risk assessment in maritime operations AI-driven ship power grid analysis Environmental sustainability in marine transport Maintenance optimization for machinery systems Recent Article Trends Recent works emphasize maritime decarbonization strategies (dual-fuel engines, alternative fuels) and predictive maintenance systems using AI. He also explores nanomaterials for catalytic applications. Awards Recipient of the 2013 Best Poster Award. Grants/Advising PI on projects including 'Risk Prediction Modeling for Container Terminals' (2020-2022) and 'AI in Ship Power Grids' (2019-2022). No formal advisee list available.

• Transport Engineering
• Logistics
• Port Operations
• +۴ مورد دیگر

M.B. Duinkerken serves as a Professor in the Department of Transport Engineering and Logistics within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. With an active research profile evidenced by 61 research outputs including articles, reports, and conference contributions, Duinkerken maintains significant external collaborations across international port and transport networks. Research interests focus on Transport Engineering and Logistics with specialized expertise in port operations, freight systems, and sustainable infrastructure. Key areas include: Port safety and risk management for emerging technologies like ammonia bunkering Renewable energy infrastructure logistics, particularly offshore wind farm installation Intelligent transportation systems for freight and high-speed rail networks Digital transformation in container terminal operations and supply chain transparency Recent publications reveal a strong trend toward sustainability-focused transport solutions, with 60% of 2022-2025 outputs addressing decarbonization challenges in ports, freight, and rail systems. The research consistently bridges engineering design with operational implementation, often utilizing living lab methodologies and data-to-value frameworks. Duinkerken's collaborative network spans European rail authorities, port operators, and maritime technology developers, with editorial experience including DUP Satellite (2004). The research portfolio demonstrates consistent funding support through involvement in major infrastructure projects and dataset development, particularly for European high-speed rail optimization and port safety frameworks.

Sönke Hartmannمشاهده پروفایل

استاد

• Operations Research
• Logistics
• Optimization Algorithms
• +۳ مورد دیگر

Sönke Hartmann is Professor for Operations Research and Logistics at the Hamburg School of Business Administration (HSBA) since 2007. His academic work focuses on optimization algorithms, resource-constrained project scheduling, and container terminal optimization. He teaches courses in Operations Research, Statistics, Mathematics, Computer Science Foundations, AI & Data Science, and Data Analysis. Professor Hartmann completed his Computer Science studies at the University of Kiel and earned his PhD in Economics with a specialization in Operations Research. His doctoral research laid the foundation for his subsequent work in mathematical optimization and scheduling problems. His research spans multiple areas within operations research and logistics. Dr. Hartmann has made significant contributions to resource-constrained project scheduling, developing algorithms that address complex resource allocation challenges. His work on container terminal optimization has practical applications in port logistics, focusing on improving efficiency through simulation and mathematical models. He has also explored applications of mathematical programming to solve logic puzzles and smartphone applications, demonstrating the versatility of optimization techniques across different domains. Professor Hartmann's publication record shows a clear evolution from theoretical scheduling algorithms to practical applications in container terminals. His recent work (2025) provides a comprehensive review of fifty years of research on resource-constrained project scheduling, while his earlier publications established foundational work in genetic algorithms for project scheduling. The journal distribution shows strong representation in top-tier operations research journals like European Journal of Operational Research. As an active member of the academic community, Professor Hartmann serves as a reviewer for more than 30 scientific journals, contributing his expertise to maintain scholarly standards in operations research and logistics publications. His research has practical implications for container terminal operations, with applications in scheduling equipment and manpower, optimizing container movements, and improving overall terminal efficiency through simulation models. This industry-focused research demonstrates the real-world impact of his academic work.