جستجوی استاد راهنمای دانشگاهی

Peter Nielsenمشاهده پروفایل

استاد

• Artificial Intelligence for Operations Research
• Logistics and Supply Chain Optimization
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Professor Peter Nielsen is a faculty member at Aalborg University's Department of Materials and Production, part of The Faculty of Engineering and Science. He specializes in Artificial Intelligence for Operations Research, focusing on logistics optimization, unmanned aerial vehicles (UAVs), and heuristic algorithms. His work bridges theoretical research and practical applications in industrial automation and sustainable systems. He has led or participated in multiple research projects, including the ORMS project (Operational Reliability Management System) and the ValuePole initiative, which addressed value chain optimization for SMEs. His research emphasizes AI-driven solutions for maritime search and rescue, UAV operations in dynamic environments, and autonomous systems for healthcare logistics. Notable research interests include optimizing routing and scheduling problems, trustworthiness in autonomous vehicle algorithms, and cross-infection risk mitigation in indoor environments. His contributions span over 210 publications, with recent work highlighted in journals like Journal of Intelligent and Robotic Systems and Marine Policy . Peter has advised two PhD students and contributed to academic activities as a peer reviewer for Production & Manufacturing Research . His work often integrates computational fluid dynamics (CFD) and Taguchi methods for optimizing ventilation systems and reducing disease transmission risks.

• Operations Research
• Transport Optimization
• Mathematical Optimization
• +۳ مورد دیگر

Jesper Larsen is a Professor and Head of the Management Science Division as well as Department Head of Education at the Department of Technology, Management and Economics (Technical University of Denmark). He holds a PhD in Operations Research from DTU (1999) and has been a faculty member since 2000. His roles include teaching Operations Research at undergraduate and graduate levels, supervising over 120 student projects, and leading initiatives like the BSc in Data Science and MSc in Business Analytics. Research interests focus on transport optimization and healthcare resource planning , with projects involving industry partners such as Danish State Railways and Novo Nordisk. He has authored over 50 publications and serves on editorial boards including OR Spectrum and TOP . Notably, he received the 2017 Hedorf Foundation Prize for transportation research. Educations: MSc Computer Science (University of Copenhagen, 1995), PhD Operations Research (DTU, 1999) Awards: 2017 Hedorf Foundation Prize Advising: Supervised over 10 PhD students and 120+ theses/projects Grants/Projects: Industry collaborations in transport (e.g., Deutsche Bahn) and healthcare (e.g., Rigshospitalet) He is actively involved in professional organizations such as the Executive Committee of EURO (European Association of OR Societies) and reviews for top journals and agencies globally.

Stefan Røpkeمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Logistics Optimization
• +۵ مورد دیگر

Stefan Røpke is a Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Operations Research and Management Science, with a particular emphasis on logistics optimization, vehicle routing, and sustainable transportation systems. He has contributed to advancements in adaptive algorithms for scheduling, berth allocation, and stochastic optimization. Røpke is actively involved in PhD supervision, mentoring students in projects such as university timetabling, hybrid power plant design, and sustainable delivery systems. He received the Hedorfs Fond's Prize for Transportation Research in 2019, recognizing his impactful work in transportation science. His research often addresses UN Sustainable Development Goals, particularly those related to climate action and sustainable cities. Røpke collaborates internationally, contributing to projects like optimizing liner shipping networks with alternative fuels and improving port operations through heuristic methodologies. As a supervisor, he oversees multiple PhD projects, including studies on stochastic optimization acceleration, hybrid energy systems, and crowdsourced delivery networks. His work bridges theoretical advancements with practical applications, driving innovations in logistics and operational efficiency.

Bin Yangمشاهده پروفایل

استاد

• Computer Science
• Data Management
• Machine Learning
• +۹ مورد دیگر

Bin Yang is a Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, artificial intelligence, and machine learning, with emphasis on spatiotemporal data analysis, representation learning, and time series forecasting. He leads projects like aSTEP (spatio-temporal data analytics) and Light-AI for Cognitive Power Electronics. Key contributions include advancements in trajectory data processing, anomaly detection, and lightweight neural architectures. Research interests span machine learning, data mining, intelligent transport systems, and material science applications. Notable awards include the IJCAI 2019 Distinguished PC Member and Sapere Aude Research Leader (2018). He has supervised six PhD students and contributed to over 119 publications. His work is supported by grants from Villum Foundation and EU initiatives. Yang is involved in interdisciplinary collaborations, including data-driven decision-making frameworks and environmental monitoring systems. Labs and teams include the Daisy Center for Data-intensive Systems and AI for the People initiatives. Projects emphasize real-world applications in smart cities, traffic forecasting, and sustainable technologies. His research bridges theoretical foundations with practical implementations in domains like oceanography and crowdsourcing systems.

Tianyi Liمشاهده پروفایل

استادیار

• Digital Twin
• Graph Neural Networks
• Energy Engineering
• +۸ مورد دیگر

Tianyi Li is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on data engineering, spatiotemporal systems, and digital twins, with applications in energy, transportation, and vehicular networks. Key areas include trajectory data management, graph neural networks, compression techniques, and federated learning. He has contributed to over 37 publications, including works on digital twin frameworks for autonomous driving and smart grids, trajectory prediction systems, and efficient time series compression. His research integrates machine learning, distributed systems, and cybersecurity to address challenges in data-intensive environments. Key Projects: Digital twin-enabled voltage control, federated vehicular networks, trajectory simplification frameworks. Labs: Involved with the Daisy Center, focusing on data-centric systems and scalable solutions. Technical Expertise: Blockchain systems, energy systems optimization, and real-time data processing.

• Transportation Engineering
• Sustainable Mobility
• Electric Vehicles
• +۳ مورد دیگر

Anders Fjendbo Jensen is an Associate Professor at the Department of Technology, Management and Economics (Transport Division) at the Technical University of Denmark (DTU). His research focuses on sustainable mobility, transportation engineering, and infrastructure economics. He has published extensively on topics such as electric vehicles, cycling safety, and urban planning, leveraging large-scale datasets like crowdsourced GPS and crash data. His academic background includes work on energy policies, vehicle adoption models, and cost-benefit analyses of transportation infrastructure. Notable studies include investigations into the role of roadworks in micromobility accessibility and the challenges of transitioning to 100% zero-emission vehicles. His work often bridges theoretical modeling with practical policy implications. Jensen collaborates with industry and policy stakeholders to address real-world transportation challenges. His recent articles highlight advancements in Bayesian modeling for route choice analysis and the socio-economic impacts of bicycle infrastructure investments. Despite no explicitly listed awards or grants in the provided texts, his prolific publication record underscores his contributions to transportation research.

Line Reinhardtمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• Operations Research
• Maritime Logistics
• +۳ مورد دیگر

Line Reinhardt is an Associate Professor at Roskilde University's Department of People and Technology Programming, Logic and Intelligent Systems, and leads the Centre for Maritime and Marine Research. His primary research focuses on combinatorial optimization and operations research, with applications in maritime logistics, rail systems, healthcare operations, and IoT-enabled transportation solutions. He collaborates extensively with industry partners to ensure practical relevance of his work. Key research areas include container stowage planning, route optimization for maritime networks, and AI-driven solutions for energy-efficient liner shipping. His work bridges theoretical optimization with real-world implementation, addressing challenges in port operations, hospital resource allocation, and sustainable transportation systems. Reinhardt has led or participated in multiple research projects, including the Innovation Fund-backed 'Stowage Algorithms and AI for Energy Efficient Liner Shipping' (2022–2025) and the EU-funded 'Game For Green' project (2023–2026). He was awarded a prize for cargo transport optimization in 2023 and has been featured in media for advancing green maritime solutions. Recent Projects: Game For Green (2023–2026): Developing green transition strategies for the blue economy. ROROGREEN (2020–2024): Digital innovation for sustainable roll-on/roll-off shipping. His academic contributions span over 25 peer-reviewed publications, with a focus on algorithmic innovation and systems optimization. Reinhardt also engages in academic outreach, organizing PhD courses and serving as an examiner in doctoral evaluations.

Inkyung Sungمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Operations Research
• Optimization Algorithms
• +۵ مورد دیگر

Inkyung Sung is an Associate Professor at the Department of Materials and Production, Aalborg University, Denmark. Her research focuses on Artificial Intelligence for Operations Research, particularly in optimization algorithms, UAV operations, and scheduling systems. She leads projects on maritime search and rescue planning, autonomous vehicle path-finding, and cloud computing resource management. Her work integrates AI-driven solutions with real-world applications in emergency services, manufacturing, and logistics. Key research areas include UAV-based service delivery optimization, dynamic environment adaptation for autonomous systems, and scheduling algorithms for robotic and cloud environments. She has collaborated on datasets for generalized assignment problems and developed methodologies for zone partitioning in UAV operations. Sung’s contributions span 33 peer-reviewed publications and three datasets, emphasizing practical applications of operations research in safety-critical and efficiency-driven domains.

• Cyber-Physical Systems
• Systems Biology
• Formal Methods
• +۷ مورد دیگر

Radu Grosu is a full professor and head of the Institute of Computer Engineering at the Faculty of Informatics, Vienna University of Technology (TU Wien). He also serves as a research professor in the Department of Computer Science at the State University of New York at Stony Brook (USA). His leadership extends to directing the Cyber-Physical Systems research group at TU Wien and previously co-directing the Concurrent-Systems Laboratory and co-founding the Systems-Biology Laboratory at SUNY Stony Brook. His research focuses on the modeling, analysis, and control of cyber-physical and biological systems. Key application domains include distributed automotive and avionic systems, Internet of Things (IoT), autonomous mobility, green operating systems, mobile ad-hoc networks, and biological networks such as cardiac, neural, and genetic regulatory systems. His methodological expertise lies in formal methods, hybrid systems, and compositional design. The recent trend in his publications emphasizes formal frameworks for cyber-physical system design, verification of AI-based controllers, green computing, and modeling of biological systems using hybrid and stochastic models. His work bridges theoretical rigor with practical applications in safety-critical domains. Scientific Awards: National Science Foundation Career Award State University of New York Research Foundation Promising Inventor Award Association for Computing Machinery Service Award Advising and Grants: Radu Grosu has co-directed research laboratories and mentored students in concurrent and systems biology research. He has secured competitive funding, evidenced by the NSF CAREER Award and other institutional recognitions. His leadership in founding and directing labs indicates strong grant acquisition and team mentorship capabilities. Labs and Research Groups: He leads the Cyber-Physical Systems group at TU Wien and previously co-directed the Concurrent-Systems Laboratory and co-founded the Systems-Biology Laboratory at SUNY Stony Brook, fostering interdisciplinary research in formal methods and biological computing.

Andreas Kloseمشاهده پروفایل

دانشیار

• Operations Research
• Combinatorial Optimization
• Integer Programming
• +۳ مورد دیگر

Andreas Klose is an Associate Professor at the Department of Mathematics, Aarhus University, Faculty of Science. His work focuses on combinatorial optimization and integer programming, particularly for logistics applications. Active in exact solution approaches for bi-objective and uncertain facility location problems Develops metaheuristics for fixed charge transportation challenges Teaches master courses on location planning, vehicle routing, and optimization methods Research Trends: Recent publications emphasize facility location under uncertainty, exact algorithms for capacitated problems, and metaheuristic approaches. Topics span both theoretical and applied operations research. Teaching: Offers courses on Multiple Criteria Optimization , Location Planning , Vehicle Routing , and Metaheuristics , alternating between fall and spring semesters. Collaborations: Frequently collaborates with researchers like Simon Gadegaard and Kim Jörnsten on facility location and transportation problem frameworks.

Peter Axel Nielsenمشاهده پروفایل

استاد

• Computer Science
• IT Project Management
• Software Development
• +۵ مورد دیگر

Peter Axel Nielsen is a Professor and Head of the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design. His research spans computer science, IT project management, software development, and big data analytics, with a focus on agile methodologies, environmental assessment, and sustainable development goals. Institutional Affiliation: Aalborg University, Denmark Research Interests: Nielsen's work addresses the intersection of technology and sustainability. Key areas include risk management in agile software teams, big data analytics for societal benefits, and digital transformation in energy systems like district heating. Recent projects explore UAV routing, predictive maintenance for offshore wind farms, and AI integration in multimodal service systems. Trends in Publications: His 2024–2025 articles emphasize Digital transformation for sustainability UAV operations and routing algorithms Big data analytics in healthcare and energy Ageism in labor markets Maintenance optimization for renewable energy Scientific Awards: Best Paper Award at SCIS 2021 (Scandinavian Conference on Information Systems) Collaboration & Projects: Active in interdisciplinary collaborations, Nielsen leads initiatives like DREAMS (digitally supported environmental assessment) and SB3D (security by design in Digital Denmark). He has been a principal investigator in over 26 projects since 1995, including district heating research and digital educational material development.

David Pisingerمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Network Design
• +۳ مورد دیگر

David Pisinger is a Professor at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on Operations Research, Management Science, and Optimization, with significant contributions to maritime transportation, offshore wind farm design, and stochastic optimization. He leads the DECIDE project (ERC-2022-ADG), exploring machine learning for decision-making under uncertainty. His research interests include network design, vehicle routing, energy systems modeling, and combinatorial optimization. Notable recent work addresses challenges in multi-parallel-aisle warehouses, tramp ship routing, and immunization strategies for epidemic outbreaks. Research Trends in Articles: Recent publications emphasize maritime logistics, renewable energy optimization (offshore wind farms), and stochastic programming applications. His work bridges theoretical optimization and real-world problems in transportation, energy, and telecommunication networks. Awards: ERC-2022-ADG Grant (2023) Finalist - EURO Excellence in Practice Award (2021, 2018) Best Student Paper Award (ICORES 2017) Advising & Grants: Supervises PhD students in stochastic optimization, energy systems, and maritime logistics. PI of projects like DECIDE (2024–2029), SUSTAINABULK (2022–2025), and others. Teams/Labs: DECIDE Project Team (machine learning for decision-making under uncertainty). Collaborations on offshore wind farm optimization, energy system modeling, and maritime logistics.

Jasmine Lamمشاهده پروفایل

استاد

• Maritime Transportation
• Supply Chain Management
• Environmental Sustainability
• +۳ مورد دیگر

Jasmine Lam is the Maritime Chair Professor at the Department of Technology, Management and Economics, Technical University of Denmark (DTU), specializing in maritime logistics, supply chain resilience, and sustainable energy systems. She holds editorial roles in Transportation Research Part D , Maritime Policy & Management , and Transportation Research Part E . Her research focuses on green shipping corridors, energy transition strategies, and AI-driven maritime systems. Recent work includes studies on hydrogen fuel in shipping, post-pandemic supply chain resilience, and port logistics innovation with the 6th-generation port model. Lam actively collaborates globally, addressing challenges in maritime safety, ammonia bunkering, and decarbonization. She supervises PhD projects and advocates for data-driven solutions in port energy systems and vessel traffic management. Research Interests: Maritime sustainability, risk analysis, AI in transportation, and energy policy. Activities: Keynote speaker at international conferences, guest lectures on decarbonization and supply chain strategies. Her publications emphasize interdisciplinary approaches, integrating machine learning, big data analytics, and environmental science to transform maritime industries. Current trends in her work highlight the strategic shift towards renewable energy integration in ports and adaptive systems for volatile shipping markets.

Kristian Torpمشاهده پروفایل

استاد

• Trajectory Data
• GPS Data Management
• Energy Engineering
• +۵ مورد دیگر

Professor Kristian Torp is affiliated with the Department of Computer Science at Aalborg University, where he leads research in the Daisy Center for Data-Intensive Systems and participates in the BLUE Marine & Maritime Research initiative. His work focuses on spatial data management, trajectory analysis, and green mobility solutions. He has contributed to projects like Streamspin (smart push technology), TransDB (GPS data management), and REMOTE (traffic monitoring). Torp has published over 90 peer-reviewed articles and holds six awards for best papers and demos at international conferences. His research explores energy consumption optimization for electric vehicles, vessel trajectory prediction, and maritime data analysis, emphasizing practical applications in transportation and environmental sustainability. Research interests include trajectory data analytics, GPS-based systems, and data privacy in mobility contexts. Key contributions involve developing efficient spatial data warehouses, automated traffic monitoring frameworks, and frameworks for eco-routing and CO2 reduction. His work often bridges theoretical computer science with real-world infrastructure challenges, such as optimizing roundabout efficiency and reducing emissions through data-driven approaches. Awards: Best Paper (2018, 2014), Best Demo (2018, 2013), Best Poster (2014) Labs: Daisy Center, BLUE Research Group Grants: EU FP6, Viking Tempo Program Current projects include ACTIVE (vessel trajectory similarity search) and Mobispaces (energy-efficient mobility data architecture). His work is widely cited in transportation, environmental science, and database systems domains.

Irfan Ahmed Halepotoمشاهده پروفایل

پژوهشگر

• Electric Vehicle Engineering
• Autonomous Vehicles
• Optimization
• +۳ مورد دیگر

Irfan Ahmed Halepoto serves as a Guest Researcher at Aalborg University's Faculty of Engineering and Science within the Department of Power Electronics System Integration and Materials, Denmark. His work focuses on advancing electric vehicle (EV) technology through energy consumption modeling and drive range optimization. Research interests center on Electric Vehicle Engineering , Autonomous Systems , and Eco-driving Optimization . He employs black-box modeling techniques and AI-driven predictive frameworks to integrate real-time parameters like traffic patterns and weather data, developing novel strategies for energy-efficient route planning in EVs. His fingerprint analysis reveals dominant expertise in Key Parameters Engineering (100%), Black Box methodologies (100%), and Driving Route optimization (100%). Recent publications demonstrate a clear trend toward multi-objective optimization of EV performance using NSGA-II algorithms and real-time data integration. His research bridges theoretical modeling with practical applications in sustainable transportation, specifically targeting traffic avoidance systems and dynamic range extension for electric vehicles through eco-driving strategies. Based at Pontoppidanstraede 111, Aalborg East, Halepoto operates within AAU's Power Electronics research ecosystem, contributing to cutting-edge system integration projects focused on sustainable energy solutions for next-generation electric mobility.