Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .
Michael Trick is the Senior Associate Dean for Faculty and Research and Higgins Professor of Operations Research at the Tepper School of Business, Carnegie Mellon University. His research focuses on combinatorial optimization, sports scheduling, constraint programming, and operations research applications. He has contributed to seminal work on sports timetabling (e.g., scheduling college basketball conferences) and the traveling tournament problem. Trick's work bridges theoretical advancements with practical applications, including integer programming, branch-and-price methods, and stochastic dynamic programming. He has led initiatives in operations research education and served as President of INFORMS, emphasizing the field's societal impact. His research also spans voting systems, optimization for newspaper zoning, and algorithmic design for complex scheduling problems. Trick's expertise spans academic leadership, research methodology, and cross-disciplinary applications. His articles address topics like auction design for spectrum allocation, bike-sharing logistics, and robust scheduling strategies. He collaborates across academia and industry, contributing to both theoretical advancements and real-world operational challenges. His work often highlights the practical utility of mathematical programming techniques in diverse domains.
Prof. Dr. Natalia Kliewer is a Professor of Business Informatics at the Free University of Berlin, where she leads the Professorship for Business Information Systems within the Department of Business Informatics in the Faculty of Economics and Business Administration. She has been serving in this position since 2009, following a Junior Professorship at the University of Paderborn from 2005-2009. Free University of Berlin (2009-present): Professor of Business Informatics University of Paderborn (2005-2009): Junior Professorship for Business Informatics and Operations Research Doctorate from University of Paderborn (2005) Studies in Information Systems at Kirgisischen Technischen Universität and Business Informatics at Münster and Paderborn (until 2000) Prof. Kliewer's research focuses on optimization in transport and traffic systems, with particular expertise in robust planning approaches, delay management, and airline revenue management. Her work bridges business informatics with practical transportation challenges, developing algorithms and decision support systems that enhance efficiency in public and air transportation networks. She has made significant contributions to integrated vehicle and crew scheduling, timetabling, and resource deployment planning that can withstand disruptions and uncertainties in real-world operations. Her recent publications demonstrate a strong trend toward addressing sustainability challenges in transportation, particularly through the integration of e-mobility solutions in public transport systems. Her research increasingly combines traditional operations research methods with data-driven approaches, including machine learning for travel time prediction and robust schedule generation. The work spans multiple transportation modes including buses, trains, and aircraft, with a consistent focus on developing integrated optimization approaches that consider multiple planning stages simultaneously. Member of the Advisory Board of the German Society for Operations Research (since 2013) Mentored students receiving prestigious awards including the GOR Bachelor Prize (Felix Becker) Prof. Kliewer has supervised numerous doctoral students including Dr. Lucas Mertens and Dr. Max Gerlach, and has advised multiple bachelor's and master's theses. Her research is supported by significant grants from the German Research Foundation (DFG), including multiple projects on robust efficiency in resource deployment plans for air transport and public transportation. She leads the BERLIN MOBILITY DATA HUB initiative and has secured funding for projects on e-mobility infrastructure planning and smart mobility solutions. She leads a research team that includes doctoral students, postdoctoral researchers, and student assistants working on various aspects of transportation optimization. Her group collaborates closely with transportation operators and industry partners to ensure practical relevance of their research. Current projects focus on AI-enhanced hybrid optimization for personnel scheduling, robust planning in public transport, and blockchain applications for secure documentation in aviation maintenance.
Professor Raimo Michaelsen serves as Professor of Railway Engineering, especially Control and Safety Engineering at the Department of Traffic and Transport at University of Applied Sciences Erfurt. He holds multiple leadership roles including Head of the Bachelor's program in Industrial Engineering in Railway Engineering (B.Eng.), Member of the Study Commission, Member of the Examination Board, and Member for Research and Teaching Affairs in the Faculty Council. Doctorate in Civil Engineering at TU Braunschweig (2004) Civil Engineering studies (Transport Engineering specialization) at University of Hanover (1993-1999) Professor Michaelsen's research focuses on railway engineering with special emphasis on control and safety technology. His work spans railway operations science, risk and hazard analyses of operating procedures, timetable and infrastructure concepts, and analysis of operating procedures. The railway system research encompasses the components track, safety technology, rolling stock, and operations interfaces. His extensive publication record demonstrates expertise in railway infrastructure optimization, safety systems implementation, timetable construction, and capacity analysis. Recent work shows particular focus on digitalization in rail operations, ETCS implementation challenges, and infrastructure adaptation for the Germany Takt concept. FH Erfurt study prize (first place, 2010) Professor Michaelsen supervises numerous Master's and Bachelor's theses in railway engineering topics, with recent work covering infrastructure optimization, safety technology, timetable construction, and operational concepts. His teaching spans both the Industrial Engineer in Railway Engineering and Industrial Engineer in Traffic, Transport, Logistics programs, with specialized courses in control and safety technology, timetable construction, and railway network simulation. He also teaches at St. Pölten University of Applied Sciences in their Railway Technology and Mobility program. His department maintains strong industry connections through excursions to railway infrastructure sites, signaling technology companies, and operational centers, providing students with practical exposure to the railway sector.
Ullrich Martin is a Professor and Head of the Institute of Railway and Transport Engineering at the University of Stuttgart, Germany. His work spans railway systems, infrastructure modeling, and transport policy. Key areas include fault diagnosis, simulation-based optimization, and capacity evaluation. Contact: Pfaffenwaldring 7, 70569 Stuttgart, Germany Office Hours: By agreement Research Trends: Recent publications focus on GAN-based data augmentation for railway fault detection, high-speed maglev systems optimization, and early instability detection in ballast tracks. His team explores discrete element modeling, operational risk analysis, and machine learning applications for track condition monitoring. Infrastructure Innovation: He drives digitalization in railway planning through graph-based knowledge databases and automated compliance tools. Projects address dwell time forecasting, electromagnetic suspension design, and accessibility solutions like the Sinn²-App for visually impaired passengers. Operational Modeling: His work includes tabu search algorithms for dispatching, reinforcement learning for timetable calibration, and multi-scale simulation frameworks. He investigates interactions between track irregularities and vehicle dynamics, with a focus on safety and efficiency.
Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.
Navpreet Chohan is a Senior Lecturer in the Division of Construction, Property & Surveying at London South Bank University's School of Built Environment and Architecture since 2012. They specialize in teaching BIM and digital technologies across various courses, aiming to enhance the digital skills of future industry professionals. Holding an MSc in Product Design Engineering (Kingston University, 2002) and a BEng in Automotive Systems Engineering (2000), they bring extensive engineering design experience from design and planning consultancies. Education Background: MSc Product Design Engineering (2002), BEng Automotive Systems Engineering (2000) Research focuses on BIM pedagogy and collaboration, with current projects involving a British Council-funded initiative to develop a virtual platform for cross-disciplinary built environment education. Past work includes analyzing Tsunami runup using GIS and mathematical modeling. Additional responsibilities include timetabling leadership for their division. Publications emphasize BIM integration in curricula, construction waste management, and digital-driven educational strategies. No scientific awards explicitly mentioned, though research activities indicate active contributions to industry-relevant scholarship. Teaching includes Construction Practice, BIM & Design, and Building Surveying Project. Advising roles and grant details are not explicitly stated in available texts. Collaborations involve international partners for educational innovation projects. Actively involved in curriculum development for construction engineering programs and digital tool adoption in education.
Zubeyde Ozturk is a Professor at Istanbul Technical University, affiliated with the Civil Engineering Department. She holds a PhD in Transportation Engineering from the same institution. Her research focuses on Transportation Planning, Transportation Structures Engineering, and Transportation and Traffic systems. She has served as Director of the Research and Application Center since 2013 and has been a Professor since 1983. Dr. Ozturk has extensive experience in academic leadership and research, with notable contributions to railway systems, urban transportation, and sustainable mobility. She has advised numerous graduate students and contributed to projects such as the Transportation Master Plan Strategy. Her work spans areas like rail wear analysis, intelligent transportation systems (ITS), noise control, and cost optimization of transportation infrastructure. Her recent articles emphasize synchronization of urban rail timetables, environmental impacts of transportation, and optimization of high-speed rail systems. She has also been a member of the IMO (International Maritime Organization) from 1980 to 2011. Courses taught include High-Speed Railways and Environmental Impacts of Transportation. Zubeyde Ozturk’s research integrates technical and economic aspects of transportation infrastructure, addressing challenges in sustainability, safety, and efficiency.
Georgios Triantafyllidis is an Associate Professor at the Department of Architecture, Design and Media Technology, Aalborg University Copenhagen. He is affiliated with the Lighting Design Lab, MeCIS (Media Cognition and Interactive Systems), and The Center for Applied Game Research. His work spans lighting design, energy efficiency, biomimetic architecture, and educational technology. He has led projects such as the PLDC Award-winning initiatives and the EU-funded 'PYTHAGORAS' and 'INVITE' programs focusing on sustainable lighting and virtual education. His research emphasizes EEG-based studies on lighting perception, interactive kinetic systems, and circular economy applications in construction. He actively collaborates internationally and has authored over 100 peer-reviewed publications. Research interests include smart building systems, biophilic design, and the psychological impacts of lighting. Recent projects explore daylight control via kinetic facades and virtual reality's role in urban planning. He has received the PLDC Award for Education (2017) and contributed to media coverage on lighting innovations. His academic contributions extend to educational game frameworks for special needs learners and IoT-driven energy management systems.
Michał Musiał is an Assistant Professor at the Faculty of Civil and Environmental Engineering and Architecture , Rzeszów University of Technology . He specializes in energy-saving technologies and thermal performance of building materials. Member of IBPSA Poland Dean's Representative for Student Didactic Timetable Tutor of the "da Vinci" Student Science Club Research Interests: Michał's work focuses on phase change materials (PCM) for thermal energy storage, renewable energy integration in construction, and innovative building composites . He explores PCM applications in transparent partitions, mobile insulation, and autonomous buildings. Scientific Awards: Recipient of multiple Rector's Awards (2021-2024), Prime Minister's Award (2021), and international recognition at INTARG Cracow (2015) . Teaching Activities: Lecturer and project supervisor for courses including Energy Saving Technologies , Renewable Energy in Construction , and Energy-Efficient Construction .
Prof. Dr.-Ing. Mark Seefried serves as a faculty member and Vice Dean of Teaching at Munich University of Applied Sciences within Faculty 03. His office is located in room B 261b at Dachauer Str. 98b, 80335 Munich, Germany, with direct contact via telephone at +49 89 1265-3576. His core expertise spans Construction methodologies, Development processes, and Engineering Quality Methods (EQM), directly supporting academic and industrial applications in mechanical engineering disciplines. He leads the KCA Laboratory focused on Design and Computer-Aided Engineering (CAx) systems. Administratively, Prof. Seefried manages teaching coordination and timetable oversight for his faculty division, integrating practical engineering education with quality assurance frameworks.
Dr Luke Desforges is the Academic Director for Sheffield Hallam University's London campus, overseeing academic strategy across undergraduate, postgraduate, apprenticeship, and professional development programs. Previously held roles include Associate Dean for Business and Enterprise in the College of Social Sciences and Arts, and Head of the Department of the Natural and Built Environment. His career began as a lecturer in Geography at Aberystwyth University, with additional experience at the University of Sheffield. Research focuses on the intersection of UK society/culture with global impacts, particularly through tourism in Peru, museum representations of migration at Ellis Island, and development charity operations. Methodologies emphasize qualitative approaches including ethnography and historical archives. Publications span geography, cultural studies, and development policy, with notable work on global citizenship formations and tourism's socio-cultural dimensions. Teaching contributions include undergraduate geography modules and dissertation supervision. Key academic milestones include organizing the EE2008 Engineering Education Conference and co-authoring foundational texts in tourism and bilingual education. Current initiatives involve designing academic infrastructure for the London campus, including timetabling systems and teaching space configurations.
Dr. David Lai is an Associate Professor of Operations Management at Queen Mary University of London (QMUL), affiliated with the School of Business and Management and the Department of Business Analytics and Applied Economics. He holds a PhD in Systems Engineering and Engineering Management from the Chinese University of Hong Kong (2014). Before joining QMUL, he served as Assistant Professor at the University of Southampton (2022–2024), Eindhoven University of Technology (2020–2022), and VU Amsterdam (2014–2020). His research focuses on optimization challenges in logistics, transportation systems, and operations management, including vehicle routing problems, scheduling, and heuristic algorithm development. Key interests include dynamic routing under stochastic conditions, green logistics, and real-time rescheduling for public transit. Dr. Lai’s work spans theoretical contributions (e.g., tabu search heuristics, graph-based formulations) and applied studies (e.g., construction industry logistics, public transport disruption management). His publications highlight innovations in metaheuristics, multi-objective optimization, and network design. He currently holds no explicitly listed scientific awards but has a robust academic portfolio with over 15 peer-reviewed articles since 2009. His teaching and supervision focus on operations management and analytics, though specific advisee names are not documented here.
Erika Ábrahám is a Full Professor at RWTH Aachen University , Germany, leading the Theory of Hybrid Systems research group. Her academic journey includes positions as a Junior Professor (2008-2013) and postdoctoral researcher at institutions like Jülich Research Centre and Albert-Ludwigs-University Freiburg. Her research interests span formal methods, SMT solving, hybrid systems verification, and probabilistic systems. She has contributed to symbolic computation, railway timetables, and probabilistic hyperproperties, with recent work focusing on cylindrical algebraic decomposition, conflict-driven search algorithms, and stochastic modeling. Scientific contributions include 15+ articles (2021-2025) on topics like probabilistic hyperproperties , hybrid automata , and symbolic arithmetic , often published in LNCS, Springer, and Elsevier venues. She has collaborated on tools like HyPro and SMT-RAT, and edited proceedings for conferences including NASA Formal Methods and QEST.
Dr. Nicole Gardner is a Professor and Program Director of Computational Design at the School of Built Environment, Faculty of Arts, Design and Architecture (ADA), UNSW. A Registered Architect in NSW (#7921), she holds a PhD in Architecture from the University of Technology Sydney (2018) and a First Class Honours Bachelor of Architecture from the University of Adelaide (2000). Her research bridges digital transformation, urban technology ethics, and computational design practices. PhD, School of Architecture, University of Technology Sydney (2018) Bachelor of Architecture (1st Class Honours), University of Adelaide (2000) Bachelor of Design Studies, University of Adelaide (1998) Her research interrogates digital transformation in the AEC industry through organizational learning theory, computational pragmatism, and ethical frameworks for smart cities. She explores human-machine configurations, augmented reality applications, and sustainable fabrication techniques like hybrid clay 3D printing for bio-reef structures. The 15 most recent articles reveal trends in computational design ethics, smart city scaling, digital compliance workflows, waste reduction strategies, and human-scale urban technology. Keywords span urban technology , machine learning , design automation , and gender dynamics in tech , with subfields like parametric acoustic modeling , semantic BIM consistency , and privacy-preserving occupancy analysis . 2021-2022: UNSW Faculty Research Fellowship 2022: Chief Investigator for $9M ARC Industrial Transformation Training Centre 2024, 2021, 2019: DFAT Australia-Japan Foundation Grants Nicole supervises practice-based MPhil/PhD candidates focused on smart cities and digital transformation in AEC. She co-edited CAADRIA conference proceedings and chaired the 2024 CAADRIA conference 'Accelerated Design'.
