جستجوی استاد راهنمای دانشگاهی

• Discrete Optimisation
• Scheduling Theory
• Operations Research
• +۷ مورد دیگر

Frank Werner is apl. Professor (Adjunct Professor) of Mathematical Optimisation at the Otto von Guericke University Magdeburg, Faculty of Mathematics, Institute for Mathematical Optimization. Since 1989 he has been a permanent member of this institute, leading DFG- and EU-funded projects, supervising international doctoral students and post-doctoral researchers, and serving on the editorial boards of more than a dozen journals. Education 1961–1973: Nordpark-Oberschule, Clara-Zetkin-Oberschule, EOS Geschwister Scholl, Magdeburg (Abitur ‘Ausgezeichnet’) 1975–1980: Diploma in Mathematics, Technische Hochschule Magdeburg (Dipl.-Math., grade ‘Ausgezeichnet’) 1980–1983: Doctoral studies, TH Magdeburg (Dr. rer. nat., Summa cum laude) 1987–1989: Habilitation, TH Magdeburg (Dr. rer. nat. habil.) Research Interests Werner’s work lies at the intersection of applied mathematics, operations research and computer science. He designs exact and heuristic algorithms for NP-hard scheduling and sequencing problems, analyses the stability of solutions under interval data uncertainty, and applies these techniques to real-world domains such as machine scheduling, vehicle routing, train timetabling, supply-chain coordination, and healthcare logistics. Recent activities extend to the use of machine-learning techniques to enhance optimisation algorithms. Scientific Awards & Honours Best Paper Award, International Journal of Production Research Best Paper Award, IISE Transactions NOC Prize 2009, INCOM Symposium Moscow, for work on hierarchical mobile-robot scheduling Supervision, Grants & Service Since 1992 Werner has coordinated numerous DFG and EU projects and acted as principal investigator for international collaborations involving Belarus, Russia, Poland, the USA, Mexico, Iran, Nepal, China and Finland. He has mentored Alexander von Humboldt fellows and long-term visiting scholars, and currently serves as Editor-in-Chief of the MDPI journal Algorithms , Associate Editor for Journal of Scheduling and International Journal of Production Research , and on the editorial or advisory boards of more than ten further journals. Laboratory & Teams He heads the Scheduling & Discrete Optimisation group within the Institute for Mathematical Optimization, maintaining active partnerships with Tribhuvan University (Nepal), Autonomous University of Baja California (Mexico), Belarusian State University, École des Mines de Saint-Étienne (France), University of Alabama in Huntsville (USA), and many others.

Mathieu GEORGETمشاهده پروفایل

مدرس

• Soft Mobility
• Electric Vehicles
• Vehicle Performance
• +۳ مورد دیگر

Mathieu GEORGET is a Lecturer at the University of Nantes' Department of Management, Logistics and Transport, based at the IUT of Saint-Nazaire. He serves as the Training Action Manager for the DUT in Management, Logistics and Transport and Educational Manager for the 2nd year DUT Logistics & Transport Management apprenticeship program through the Continuing Education and Apprenticeship Service. His teaching focuses on Economics & Management with specialization in Accounting and Finance, along with computer science applications including digital work environments and timetable management systems. His research explores soft mobility solutions and performance optimization of electric vehicles , examining efficiency metrics in sustainable transportation systems. GEORGET also leads technological modernization initiatives, having deployed CELCAT timetable software across departments and integrated scheduling systems with major calendar platforms. Administrative Leadership: Director of Studies for Logistics/Transport Department (2008-2010) C2I Institutional Correspondent Elected representative to University Councils (2001-2011) SNESUP union commissioner for certified teaching staff As a certified CELCAT trainer, he develops scheduling solutions for higher education institutions and vocational training centers across France.

Felix Kolbeckمشاهده پروفایل

استاد

• Accounting
• Controlling
• Tourism

Prof. Dr. Felix Kolbeck serves as a Professor at Munich University of Applied Sciences within the Faculty of Business and Social Sciences (Faculty 14). Based in Room S 215 at Schachenmeierstraße 35, Munich, his academic responsibilities center on Accounting, Controlling, and Tourism disciplines. His institutional affiliation demonstrates integration within Bavaria's professional education framework for business and social sciences. Research interests focus on practical intersections between financial management systems and tourism operations, particularly examining sustainable travel choices within political contexts. His work emphasizes actionable industry applications rather than theoretical frameworks, targeting hospitality sector professionals through trade publications and media engagement. Key themes include consumer decision-making in tourism, policy impacts on travel behavior, and operational accounting practices for hospitality businesses. Recent publications reveal an applied research trajectory oriented toward Bavarian tourism industry needs. The 2023 Gastgeber Bayern article analyzes political dimensions of travel choices, while the 2020 TV BAYERN contribution addressed tourism summit outcomes during pandemic recovery. These outputs demonstrate consistent focus on contemporary tourism challenges with emphasis on practical business implications rather than scholarly journal contributions. Students access scheduling information through the FK14 Moodle platform, with office hours and timetables managed via this institutional system. Direct contact is available through university-provided telephone (+49 89 1265-2172), though email communication channels remain unspecified in public materials. His position reflects integration within Munich's professional education ecosystem serving Bavaria's business community.

Markus Würtzمشاهده پروفایل

مدرس

• Public Transport Operations
• Transport Logistics
• Traffic Management
• +۳ مورد دیگر

Markus Würtz serves as an external lecturer at the University of Applied Sciences Erfurt while holding a full-time position as Head of Sales at Jenaer Nahverkehr GmbH (Jena Local Transport GmbH). He teaches within the Bachelor's degree programs for Industrial Engineering in Railway Engineering and Traffic, Transport, Logistics. His research and teaching expertise centers on public transport operations, with specific focus areas including: Service planning, quality standards, and evaluation methodologies Vehicles and operating facilities management Timetable development and vehicle routing optimization Duty scheduling, sequencing, and personnel dispatch systems Intermodal Transport Control Systems (ITCS) Public transport acceleration techniques Fare structures and business economics Würtz has developed specialized teaching scripts covering Public Transport Operations and Working Hours Law, reflecting his practical industry experience in German local transport systems.

• Combinatorial Optimization
• Operations Research
• Artificial Intelligence
• +۳ مورد دیگر

Corinne LUCET-VASSEUR is a University Professor at Université de Picardie Jules Verne (UPJV), leading Research Unit UR 4290 (OCIA - Optimisation Combinatoire, Images et Applications). Her office (Room 302, Tel: 5900) serves as the hub for her research group focused on combinatorial optimization and artificial intelligence applications. Her research spans: Combinatorial Optimization : Developing metaheuristics for NP-hard problems Healthcare Logistics : Patient flow optimization, facility location, simulation training Logistics Engineering : Parcel distribution, vehicle routing with time windows Algorithm Design : Ant Colony Optimization, Adaptive Large Neighborhood Search, portfolio methods She applies these methodologies to solve complex real-world problems, particularly in healthcare systems where resource constraints and scheduling complexity demand innovative optimization approaches. Her work bridges theoretical advances with practical implementation through industrial partnerships. Current research projects include: SMILE PICK UP (CIFRE industrial partnership) Simusanté (healthcare simulation) LORH (logistics optimization) These projects secure ongoing funding and provide doctoral training opportunities through industry collaboration. Her publication record demonstrates consistent methodological innovation applied to healthcare and logistics challenges across multiple European conferences and journals. Professor Lucet-Vasseur actively mentors junior researchers through co-authorship on conference papers and journal articles. Her supervision style emphasizes practical problem-solving with industry relevance, preparing students for both academic and industrial careers in optimization. The OCIA research unit provides a collaborative environment for tackling complex combinatorial problems with real-world impact. The OCIA laboratory serves as UPJV's center for combinatorial optimization research, specializing in metaheuristic development for healthcare and logistics applications. The lab maintains strong industry connections through CIFRE contracts and applied projects, ensuring research relevance while providing students with exposure to real business challenges. Current focus areas include adaptive algorithm selection using reinforcement learning and fitness landscape analysis for optimization problems.

• Evolutionary Computation
• Multi-Objective Optimization
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Ciprian Zavoianu is an academic researcher at Robert Gordon University (RGU) in the School of Computing, Engineering & Technology. He leads the Net Zero Operations research programme at the National Subsea Centre and is affiliated with the Complex Optimisation Research Group. His work focuses on applying artificial intelligence, particularly evolutionary computation algorithms, to solve complex real-world optimization problems with practical engineering applications. Dr. Zavoianu earned his academic qualifications from West University of Timisoara, Romania (BSc and MSc in Computer Science) and Johannes Kepler University Linz, Austria (PhD in Computer Science, 2015). His doctoral research focused on enhancing multi-objective evolutionary algorithms for computationally-intensive optimization problems. His primary research interests include: Evolutionary Computation Multi-Objective Optimization Data Mining & Machine Learning (particularly for surrogate modeling) Timetabling and Rostering Parallel/Distributed Computing Dr. Zavoianu's recent publications (2021-2025) demonstrate a strong focus on applying optimization techniques to transportation systems, electrical machine design, and sustainable energy solutions. His work consistently addresses the challenge of computationally expensive optimization through innovative surrogate modeling approaches, enabling practical applications of evolutionary algorithms to real-world engineering problems. He has secured multiple research grants including 'Data For Net Zero' and 'Ferry Passenger and Freight Modelling for Shetland,' demonstrating the practical relevance and industry applicability of his research. Dr. Zavoianu actively supervises five PhD/EngD students across diverse topics including predictive analytics for subsea installations, optimization of electrical machines, and operations optimization for harbor operations. His supervision approach emphasizes bridging theoretical algorithm development with practical implementation in engineering contexts. His laboratory work is centered around the National Subsea Centre, where he leads the Net Zero Operations research programme, focusing on sustainable solutions for the energy transition through advanced computational methods.

• data analysis
• artificial intelligence
• mathematical finance
• +۲ مورد دیگر

Roman Vladimirovich Lisov is a Research Fellow at the National Research University Higher School of Economics (HSE), working within the Faculty of Computer Science and the Institute of Artificial Intelligence and Digital Sciences. He is affiliated with the Project-based Learning Laboratory "Artificial Intelligence in Mathematical Finance" and began his position at HSE in 2025. Dr. Lisov holds a Master's degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology (National Research University), completed in 2023. His research interests include: Data Analysis Artificial Intelligence applications in finance Mathematical modeling Quantitative methods He also serves as a visiting lecturer at the Faculty of Computer Science. His academic supervision is provided by Professor Sokolov E. A. His office is located at AUK "Pokrovsky Boulevard", Pokrovsky Boulevard, Building 11, with consultation hours scheduled according to the class timetable.

• Operational Research
• Artificial Intelligence
• Healthcare Modelling

Fang He is a Lecturer in the Department of Computer Science at the University of Westminster. Her research interests include the application of operational research techniques to healthcare and financial portfolio management problems, with a focus on nurse scheduling and portfolio optimization under uncertainty.

Kian Pokornyمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Data Science
• +۱ مورد دیگر

Kian Pokorny serves as Professor of Computing at McKendree University, maintaining an office in Clark Hall 200 with contact phone (618) 537-6440. His academic foundation includes a Ph.D. from Louisiana Tech and dual degrees (M.S., B.S.) from Central Missouri State University. Education background: Ph.D., Louisiana Tech M.S., Central Missouri State University B.S., Central Missouri State University His research spans Artificial Intelligence , Soft Computing , Data Science , and Computer Science Education , driven by the philosophy: "My highest priority as an educator is to produce lifelong learners with strong critical thinking skills. This I hope to accomplish by creating a non-threatening, student-centered environment within my classroom that allows students to achieve the highest possible levels of learning." This commitment manifests in curriculum innovations and educational tool development. Analysis of his 15 most recent publications reveals consistent focus on computer science pedagogy evolution. Key trends include: integration of data science into traditional curricula (2022), machine learning applications for institutional analysis (2021), and sustained development of the Frances tool suite for computer architecture education (2009-2012). His work bridges theoretical computer science with practical educational implementation, demonstrating particular strength in constraint satisfaction problems and fuzzy logic applications. Scientific recognition: ACI Grant for Intelligent Tutoring Systems Design: An Empirical Approach (2005-2006) While specific student advisees aren't documented, his extensive publication record in educational methodology suggests significant mentorship impact. The ACI grant specifically supported research into adaptive learning systems, indicating early recognition of his contributions to educational technology innovation. No laboratory facilities or research teams are referenced in available materials.

Jesus Gonzalez Feliuمشاهده پروفایل

استاد

• Sustainable urban logistics
• Demand modeling and forecasting
• Transport optimization
• +۸ مورد دیگر

Jesus Gonzalez Feliu is a Professor of Supply Chain Management at Excelia Business School in La Rochelle, France. He holds a PhD in Computer and Systems Engineering from the Politecnico di Torino (Italy) and an Habilitation à Diriger des Recherches from the University of Paris Est. His academic journey includes positions as Research Engineer at CNRS, Assistant Professor at Ecole des Mines de Saint-Etienne, and current Professor at Excelia Business School since 2020. Habilitation à diriger des recherches, Université Paris Est, France (2016) Doctorat en Génie informatique et des systèmes, Politecnico di Torino, Italie (2008) Master en Transport et mobilité durable, Politecnico di Torino, Italie (2004) Professor Gonzalez Feliu specializes in sustainable urban logistics, demand modeling and forecasting, transport optimization, sustainable food logistics, humanitarian logistics and resilience, and group decision-making processes. His research often focuses on data production and demand estimation, interactive problem solving, and scenario evaluation in logistics contexts. He has made significant contributions to understanding urban freight systems, particularly in developing sustainable solutions for cities in both developed and developing countries. His extensive publication record includes over 75 peer-reviewed journal articles, 2 monographs, and guest editorship of more than 10 special journal issues. His most recent work demonstrates a continued focus on spatial accessibility in logistics warehouses, urban goods transport demand estimation, and sustainable supply chain solutions, with particular attention to applications in developing countries and humanitarian contexts. Chair of Urban Logistics Lab Scientific Committee, Deakin University, Melbourne (2019-2023) Member, Urban Mobility Observatory, Universidad del Pacifico, Lima (2020-present) Professor Gonzalez Feliu has supervised numerous research projects and collaborations across Europe, Latin America, and Australia. His work bridges theoretical modeling with practical applications, particularly in developing decision support systems for urban logistics planning and management. His international perspective is reflected in his research on logistics systems in diverse contexts, from European cities to developing economies in Latin America.