Find Academic Supervisors

Nicu N. GogaView profile

Researcher

• Computer Simulation
• Molecular Dynamics
• Robotics
• +5 more

Nicu N. Goga is an external researcher at the University of Groningen's Faculty of Science and Engineering, specializing in computational methods with applications spanning transportation systems, robotics, and renewable energy. His work integrates advanced simulation techniques across multiple engineering disciplines to solve complex real-world problems. Dr. Goga's research demonstrates exceptional interdisciplinary breadth, with core expertise in computer simulation and molecular dynamics. He has pioneered adaptive route optimization solutions for commercial fleets, developed affordable humanoid robotics platforms like Miha, and engineered EEG-based brain-computer interfaces for consumer electronics. His molecular dynamics work focuses on photoelectrochemical water splitting for sustainable hydrogen production, directly contributing to UN Sustainable Development Goals in clean energy and industry innovation. Analysis of his 2021-2025 publications reveals a strategic evolution from fundamental computational chemistry toward applied engineering solutions. While maintaining molecular dynamics as a foundational methodology, his recent work increasingly targets transportation logistics and human-robot interaction, showcasing a deliberate shift toward high-impact applications in commercial and assistive technologies. Affiliated with the Molecular Dynamics research group at Groningen, Dr. Goga operates within a robust collaborative network evidenced by international co-authorship patterns. His technical fingerprint spans computer simulation engineering, model checking, multiscale modeling, and distributed systems architecture, reflecting a versatile computational toolkit applied across diverse problem domains.

• Operations Research
• Combinatorial Optimization
• Vehicle Routing Problems
• +5 more

Prof. TEMEL ÖNCAN is a Professor of Industrial Engineering at Galatasaray University's Faculty of Engineering and Technology, specializing in Operations Research. He has been serving in this position since 2016, after previously holding the ranks of Associate Professor (2009-2015) and Assistant Professor (2006-2009) at the same institution. His academic journey began with a Doctorate from Bogazici University's Department of Industrial Engineering (1998-2004), following a Postgraduate degree from the same institution (1996-1998). His educational background includes: Doctorate (1998-2004) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Postgraduate (1996-1998) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Prof. Öncan's research interests span Operations Research, Combinatorial Optimization, Vehicle Routing Problems, Facility Location Problems, Assignment Problems, Network Design, Warehouse Management, and Scheduling. His work has resulted in numerous publications in prestigious journals such as European Journal of Operational Research, Networks, and Annals of Operations Research. His recent research focuses on conflict-constrained optimization problems, facility location models, and warehouse management systems, demonstrating consistent contributions to theoretical and applied aspects of Operations Research. His publication trends show a strong focus on combinatorial optimization problems with practical applications in logistics, transportation, and supply chain management. Many of his recent works address complex variants of classical optimization problems with additional constraints that better reflect real-world scenarios. Prof. Öncan has successfully supervised 12 theses across various topics in Operations Research and has led numerous research projects funded by TUBITAK and higher education institutions. His projects have focused on conflict-constrained optimization problems, facility location models, and warehouse management systems. He has held significant managerial roles, including University Executive Board Member at Galatasaray University's Continuing Education Application and Research Center since 2012. His international experience includes postdoctoral research at the University of Montreal (2005-2006), University of New Brunswick (2005), and a visiting lecturer position at Columbia University (2004-2005).

• Cycling infrastructure
• Asset management
• Human vibration exposure
• +6 more

Dr. Mark Taylor is a Lecturer in Civil Engineering at Edinburgh Napier University's School of Computing, Engineering and the Built Environment . Key affiliations include the Transport Research Innovation Centre and roles in projects related to cycling infrastructure , human vibration exposure , and automated construction . Research Areas : Cycling infrastructure asset management, Hand-arm vibration syndrome (HAVS), Sustainable construction, Public health impacts of urban design Recent Grants : £52,461 from Mott Macdonald (2023-2024), £5,000 from Scottish Funding Council (2021-2022) His research focuses on vibration exposure in cycling and construction industries, with publications spanning cycling infrastructure quality assessment , mountain bike ergonomics , and offsite construction economics . Notable collaborations include Reactec (vibration monitoring) and SipSecure Ltd (spill-proof cup design). Current projects include: Ikerbs Phase 4 (2023-2024): Kerb design trials BikeSenz (2019): Cyclist comfort research IntelliBike (2011-2015): Instrumented bicycle development He supervises postgraduate research, notably directing James Calvey's master's work on cycle path condition monitoring , and participates in industry advisory groups like the BSI Working Group on Human Exposure to Vibration .

• urban transport systems
• traffic management
• information technology in transport

Raida Igor Mykhailovych is a Senior Lecturer at the Transport Technologies Department of Zaporizhzhia Polytechnic National University's Transport Faculty. With over 25 years of academic experience since 1995, he has established himself as a specialist in urban transport systems and traffic management, with particular expertise in applying information technologies to transportation problems. His educational background includes a degree from Zaporizhia State Technical University's Faculty of Transport (1995), where he specialized in 'Organization of transportation and management in transport.' He has taught courses including 'Information systems and technologies in transport,' 'Integrated transportation systems,' 'Geographic information systems,' and 'Special methods of traffic management.' Raida's research focuses on urban transport systems, traffic management, and information technology applications in transportation. His work has examined epidemic impacts on transport infrastructure, passenger contact networks, bus transportation organization, and the environmental impact of road transport. His research demonstrates a consistent commitment to improving urban mobility through technological innovation and evidence-based analysis. Among his professional recognitions are multiple Honorary Certificates from Zaporizhzhia National Technical University for his contributions to student research guidance and scientific work, including awards in 2019, 2018, 2016, 2014, and 2013. He also received recognition from the Zaporizhzhia City Council's October District Administration in 2012 for preparing highly qualified specialists for Ukraine's transport sector. From 2005 to 2015, Raida participated in the state examination commission for the specialty 'Organization and regulation of road traffic.' His ORCID identifier is 0000-0003-3925-4692, and his Google Scholar profile is available online. Fluent in both Ukrainian and Russian, he maintains an active research profile with publications spanning over two decades.

Martin LoeblView profile

Professor

• Discrete Mathematics
• Graph Theory
• Combinatorial Optimization
• +10 more

Professor Martin Loebl is a distinguished academic at the Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University in Prague. His extensive teaching portfolio includes Discrete and Continuous Optimization, Linear Programming, Nonlinear Optimization, Game Theory for intelligent networks, and Linear Algebra. His office is located in room S 325 on the 3rd floor in Lesser Town, Malostranské nám. 2/25, Prague 1. Loebl's research spans the breadth of discrete mathematics with particular emphasis on graph theory, combinatorial optimization, and applications to statistical physics. His work bridges theoretical mathematics with practical applications in network optimization, market equilibria, and critical distribution systems. He has made significant contributions to Kasteleyn theory, dimer models, Ising model applications, matroid theory, and matching theory. Analysis of his recent publications reveals a strong focus on the intersection of discrete mathematics with economic and social systems. His work increasingly addresses real-world challenges such as resource allocation during crises, market design, and fair division problems. The publications demonstrate sophisticated applications of graph theory and combinatorial optimization to game-theoretic models and distribution systems, with growing emphasis on practical implementations of theoretical frameworks. Scientific Awards: Prize of Rector of Charles University for the book 'Topics in Discrete Mathematics: Dedicated to Jarik Nešetřil on the Occasion of his 60th birthday' Professor Loebl coordinates the H2020-MSCA-RISE-2018 project 'Combinatorial Structures and Processes (CoSP)' and previously coordinated the Czech Ministry of Interior's 'Critical Distribution System (CRISDIS)' project motivated by the COVID-19 pandemic. His research has practical applications in winter road maintenance routing, market equilibria design, and critical goods distribution systems. He maintains an active research laboratory focused on discrete mathematics applications, with particular emphasis on translating theoretical results into practical algorithms for optimization problems in network design, resource allocation, and market mechanisms. His group has produced significant work on dimer models, Kasteleyn orientations, and their applications to statistical physics problems.

• Logistics Optimization
• Material Handling Systems
• Discrete-Event Simulation
• +3 more

Slaheddine Mestiri is a Researcher at the Chair of Material Handling and Logistics (Lehrstuhl für Fördertechnik Materialfluss Logistik) at the Technical University of Munich (TUM), located at Boltzmannstraße 15, Garching. Holding an M.Sc. degree, he actively contributes to logistics research through publications and the PlaKAT project, focusing on simulation-based solutions for transport systems and warehouse automation. Research Profile His work centers on discrete-event simulation, data-driven modeling, and AI applications in logistics. Key contributions include developing frameworks for material handling system modeling, transport system dimensioning, and order assignment strategies for heterogeneous fleets. Recent publications demonstrate increasing focus on warehouse AI scalability and feasibility assessment. Publication Trends Analysis of his 2021-2025 publications reveals consistent methodology: simulation-driven approaches applied to material flow challenges. Dominant themes include transport system optimization (43% of works), warehouse innovation (29%), and decision-support tool development (28%). His research shows progressive integration of AI concepts, particularly in 2024-2025 works addressing warehouse automation scalability. Projects & Collaboration Primary contributor to PlaKAT project (funded by German Federal Ministry for Economic Affairs and Climate Action) developing a transport means selection compass Regular collaborator with Prof. Johannes Fottner and researchers including Soufi, David, and Küster Publications presented at German Material Flow Congress and in journals like Flexible Services and Manufacturing Journal Research Infrastructure Mestiri operates within TUM's Chair of Material Handling and Logistics, a research unit specializing in material flow systems. The chair maintains industry partnerships for applied logistics research, with Mestiri focusing on simulation model development and transport system analysis within this ecosystem.

William N. CaballeroView profile

Assistant Professor

• Decision Support Systems
• Statistical Modeling
• Mathematical Optimization
• +5 more

Dr. William N. Caballero is an Assistant Professor of Data Science in the Department of Operational Sciences at the Air Force Institute of Technology (AFIT). His research focuses on developing statistical and mathematical models for decision support in uncertain, multi-agent environments, with applications in defense and security. Methodologically, his work integrates deterministic/stochastic optimization, Bayesian analysis, and interpretable machine learning. Education: Doctor of Philosophy in Operations Research, Air Force Institute of Technology (2019) Master of Science in Operations Research, Air Force Institute of Technology (2017) Bachelor of Science in Industrial Engineering, University of Houston (2011) Research Interests: His interdisciplinary research bridges statistics and operations research, emphasizing Bayesian decision analysis for security problems and modern data science applications in defense contexts. Primary domains include adversarial risk analysis, security games, ethical AI systems, automated driving technologies, and military personnel training optimization. Publication Trends: Recent articles demonstrate strong focus on machine learning applications in national security (LLMs, pilot selection), adversarial modeling (security games, data poisoning), and autonomous systems (driving mode management, ethical frameworks). Methodological innovations frequently combine Bayesian approaches with optimization techniques. Awards and Honors: Seiler Award for Mathematical Sciences Research (2023) Finalist for Clemen-Kleinmuntz Decision Analysis Best Paper (2022) USAF-MIT AI Accelerator Datathon: 5 awards including Overall Winner (2021) Multiple Field/Company Grade Officer of the Quarter awards (2013-2024) Distinguished Graduate honors (AFIT, OTS, Squadron Officer School) General Omar Nelson Bradley Fellowship (2018) Inductee to Omega Rho and Tau Beta Pi honor societies

Lonnie ParkerView profile

Researcher

• Autonomy
• Collaborative Robotics
• Robotics
• +5 more

Lonnie Parker is the Collaborative Autonomy Branch Chief in the Robotics and Autonomous Systems Division of the ATAS Laboratory at Georgia Tech Research Institute (GTRI). As a Senior Research Scientist and Principal Investigator for multiple programs, he specializes in designing collaborative behaviors for unmanned systems in maritime and air domains. With over 10 years of experience managing DoD-sponsored projects, his career includes 7 years at NUWC Division Newport conducting maritime autonomy research through ONR-funded initiatives. Education: Ph.D. in Electrical & Computer Engineering, Georgia Institute of Technology (2012) M.S. and B.S. in Electrical Engineering, Rochester Institute of Technology (2006) Research Focus centers on: Collaborative autonomy algorithms for multi-robot systems Adaptive navigation protocols in resource-constrained environments Geo-physical terrain modeling for autonomous surveying Human-multi-robot teaming dynamics Research Trends from his publications show expertise in: Autonomous navigation optimization Distributed sensor networks Multi-agent communication protocols Environmental modeling for robotics Laboratory Affiliation: The Aerospace, Transportation & Advanced Systems Laboratory (ATAS Lab) at GTRI serves as his primary research platform.

Francisco Saldanha da GamaView profile

Professor

• Supply Chain Management
• Logistics
• Facility Location Optimization
• +3 more

Professor Francisco Saldanha da Gama is a Chair in Supply Chain Management at the University of Sheffield Management School. His expertise spans facility location, supply chain optimization, and stochastic programming, with over 150 conference presentations and editorial leadership as Editor-in-Chief of Computers & Operations Research . He has co-edited the seminal Springer volumes Location Science and contributed to humanitarian logistics, robust optimization, and multi-period network design. PhD in Statistics and Operations Research from University of Lisbon Research interests focus on integrating strategic supply chain decisions with operational constraints under uncertainty. Key areas include: Facility location under stochastic and risk-averse frameworks Dynamic lot-sizing and assembly line rebalancing Hub location-routing with congestion modeling Humanitarian logistics for sheltering and evacuation Recent publications (2023-2025) address multi-stage stochastic districting, risk-averse transportation planning, and battery swapping station optimization. Collaborators include Stefan Nickel and Gilbert Laporte. Editor-in-Chief, Computers & Operations Research (2020-present) Editorial Advisory Board, Journal of Operational Research Society (UK) Consulting Editor, Social Sciences & Humanities Open Supervises PhD researchers like Jue Huang (Electric vehicle supply chain sustainability). Professional affiliations include INFORMS, Operational Research Society (UK), and leadership roles in EURO working groups on stochastic optimization and location analysis.

• Distributed Control Systems
• Robust Control
• Networked Control Systems
• +7 more

Petros G. Voulgaris is a Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), with affiliate appointments in the Coordinated Science Laboratory (CSL) and the Department of Electrical and Computer Engineering (ECE). He is also an Adjunct Professor at UIUC. His research focuses on distributed control, robust control, networked systems, and optimization, with applications spanning UAVs, power systems, infrastructure, and robotics. Education: Ph.D. in Aeronautics and Astronautics, MIT, 1991 M.S. in Aeronautics and Astronautics, MIT, 1988 B.S. in Mechanical Engineering, National Technical University of Athens, 1986 Research Interests: His core research lies in the theory and application of distributed control and estimation , particularly in systems with communication constraints. He has contributed to the analysis and synthesis of time-varying and adaptive systems , and the coordination of multi-agent systems . His work also includes robust and multi-objective control methodologies. Application domains include UAV swarms , power grid control , traffic systems , infrastructure monitoring , and microscopy systems . Scientific Awards: IEEE Fellow (2011) ADGAS Visiting Chaired Professor, Petroleum Institute, UAE (2008–2010) UIUC Junior Xerox Award for Faculty Research (1996) ONR Young Investigator Award (1995) NSF Research Initiation Award (1993) Advising & Grants: While no specific students are listed, Voulgaris has been actively involved in collaborative research. He is a co-PI on an NSF grant titled "Distributed Quasi-Newton Methods for Nonsmooth Optimization" , working with Angelia Nedich and Nikolaos Freris. The project focuses on developing fast, distributed optimization methods for large-scale, structured systems. Labs & Teams: Voulgaris is affiliated with the Coordinated Science Laboratory (CSL) at UIUC, a hub for interdisciplinary research in control, computing, and communications. His work is also supported through collaborations with ECE and AAE departments, fostering cross-disciplinary research in cyber-physical systems.

Evren SahinView profile

Researcher

• Operations Management
• Supply Chain Optimization
• Healthcare Logistics
• +4 more

Evren Sahin is a researcher specializing in Operations Management with a focus on Supply Chain Optimization , Healthcare Logistics , and Inventory Management . He is affiliated with the Industrial Engineering Laboratory, where his work integrates optimization , discrete event simulation , and production systems . His research explores the intersection of emergency vehicle logistics , home healthcare operations , and agri-food supply chains . Recent publications highlight applications of machine learning in demand forecasting and digital twin technology for supply chain agility. Collaborations with Zied Jemai, Yves Dallery, and Andrea Matta span theoretical and applied projects. Key methodologies include integer programming , inventory control models , and human-robot kitting systems . His work addresses closed-loop supply chains , perishable product management , and emergency medical service improvements through simulation and optimization.

Cyril AllignolView profile

Lecturer

• Combinatorial optimization
• Metaheuristics
• Semantics of languages
• +4 more

Cyril Allignol is a Lecturer and Researcher in the OPTIM team at the National School of Civil Aviation (ENAC) research laboratory. His work focuses on two primary themes: (1) solving combinatorial optimization problems related to air traffic and airport operations using constraint programming , and (2) formalizing reactive languages to ensure guaranteed properties for air traffic control and piloting assistance tools. PhD in Computer Science and Telecommunications (2011) from the University of Toulouse ENAC Engineer (2006) Master's in Computer Science and Telecommunications (2006) from the University of Toulouse His research spans air traffic conflict resolution , detect-and-avoid algorithms for UAVs/UAS , and formal methods in reactive language compilation . He has contributed to constraint programming frameworks, robust gate allocation models, and 3D trajectory deconfliction systems. His work integrates metaheuristics , geometrical algorithms , and formal verification techniques. Publications reveal expertise in mathematical optimization , UAS integration , and bigraph-based modeling for avionics systems. He collaborates with institutions across France, Italy, Georgia, and the United States through conferences like ICRAT , ATM Seminar , and ROADEF . His team affiliation ( OPTIM ) and technical focus on conflict resolution , self-separation , and navigation accuracy highlight his contributions to air traffic safety and efficiency . Current projects include 4D-trajectory deconfliction and formal methods for avionics software .

Heung Jin OhView profile

Assistant Professor

• Data-driven Construction
• Infrastructure Delivery
• Text Analytics
• +3 more

Dr. Heung Jin Oh is an Assistant Professor at Purdue Polytechnic, specializing in data-driven approaches to construction management and infrastructure development. His research integrates smart technologies, sustainability, and human-centered methodologies to transform the construction industry. Ph.D. in Building Construction, Georgia Institute of Technology (2024) M.S. in Civil and Environmental Engineering, Georgia Institute of Technology (2019) B.S. in Civil and Environmental Engineering, Hanyang University (2014) Research Focus: Dr. Oh's work addresses construction workforce optimization, infrastructure delivery systems, and text analytics for industry trends. His Smart and Sustainable Workforce and Infrastructure Data-driven Evolution (S²-WIDE) lab combines automation with sustainable practices to enhance construction processes. Article Trends: His publications emphasize data analytics in construction labor markets, equity in infrastructure deployment, and BIM-based safety design. Topics span wage disparities, multiskilled labor development, and smart intersection optimization, reflecting a commitment to technological and social advancements. Grants & Projects: Funded by NSF and GDOT, he has investigated risk preferences during pandemics, broadband equity, and BIM implementation roadmaps.

Esteban FeuersteinView profile

Associate Professor

• Algorithms and Data Structures
• Online and Dynamic Algorithms
• Parallel and Distributed Algorithms
• +4 more

Esteban Feuerstein is a faculty member at the Universidad de Buenos Aires , affiliated with the Faculty of Exact and Natural Sciences and the Department of Computer Science . A renowned Associate Professor, he has extensive experience in academic research and teaching. Education : Licenciado en Informática, ESLAI (1988) Doctor en Informática, Universidad de Roma 'La Sapienza' (1995) Research Focus : His work centers on Algorithms and Data Structures , with special emphasis on Online and Dynamic Algorithms , Parallel and Distributed Algorithms , and Computational Complexity . Additional interests include Knowledge Management , Information Retrieval , and Algorithmic Problems in Online Advertising . Academic Contributions : His 15 most recent publications (1993-2011) cover diverse subfields including Conflict-free Petri Nets , Stochastic Auction Mechanisms , Online Traveling Salesman Algorithms , and Distributed Inverted Files . These works span theoretical computer science, practical web search optimization, and algorithmic economic models. Professional Roles : Founder of Echagüe & Feuerstein Consultores (1999) Co-founder of umai (2001) Senior Consultant at Pragma Consultores (2001-) Yahoo! Research collaborator (2006) Editor-in-Chief of SADIO's Electronic Journal (1997-) Teaching : Currently teaches Algoritmos y Estructuras de Datos II at Universidad de Buenos Aires. Previously taught Algoritmos y Estructuras de Datos III (1995-2004).

Philipp HungerländerView profile

Associate Professor

• semidefinite optimization
• conic optimization
• polynomial optimization
• +4 more

Philipp Hungerländer is an Associate Professor at the Institute of Mathematics, University of Klagenfurt. He is a member of the combinatorial optimization working group led by Prof. Franz Rendl, focusing on advanced optimization techniques for real-world industrial applications. Research Interests: His work spans three core areas: (1) semidefinite, conic, and polynomial optimization for nonlinear discrete problems, (2) quadratic programming and active-set algorithms for convex/nonconvex models, and (3) exact and heuristic methods for combinatorial optimization in routing and scheduling. Additionally, he explores game theory and dynamic games. Recent Publications: His 15 most recent articles reflect expertise in railway logistics, facility layout, home delivery services, and medical pandemic response. Topics include integrated freight routing, dial-a-ride optimization, and applications of mixed-integer programming. Contact: Email: Philipp.Hungerlaender@aau.at