جستجوی استاد راهنمای دانشگاهی

Saleh Javadi is a Senior Lecturer at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is actively engaged in research and teaching within the field of systems engineering. His educational background includes: B.Sc. in Electrical-Control Engineering from Amirkabir University of Technology (2009) M.Sc. in Electrical, Electronic and Systems Engineering from The National University of Malaysia (2013) Ph.D. in Systems Engineering from Blekinge Institute of Technology (BTH) (2021) Saleh Javadi's research focuses on signal processing, machine learning, and computer vision , with applications spanning remote sensing, intelligent transportation systems, and AI-driven industrial optimization. His work bridges theoretical advancements with practical implementations, particularly in SAR imagery analysis, drone-based agricultural monitoring, and traffic surveillance systems. His recent publications demonstrate a strong focus on remote sensing technologies, particularly Synthetic Aperture Radar (SAR) image processing and analysis. There's a clear trend toward applying machine learning techniques to solve complex problems in aerial and satellite imagery, traffic monitoring, and agricultural applications. His research shows interdisciplinary connections between computer vision, signal processing, and practical engineering applications. Saleh Javadi has received significant recognition for his innovative work: Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing and reducing energy consumption in industries by using artificial intelligence ÅForsk Entrepreneur's prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park's annual conference in May 2019 Dr. Javadi is involved in practical applications of his research through projects such as "Artificiell intelligens AI kan reducera ogräsfrön i utsäde" (ongoing) and "Bekämpa Renkavle med hjälp av drönare och Artificiell Intelligens (AI)" (completed). His work demonstrates a strong commitment to translating academic research into real-world solutions that address industrial and environmental challenges. His research appears to be conducted within a collaborative framework, working with colleagues on drone technology, SAR image analysis, and AI applications across multiple domains including agriculture, maritime monitoring, and transportation systems.

• Systems engineering
• Signal processing
• Machine learning
• +۱ مورد دیگر

Dr. Fabio Ballini is an Associate Professor specializing in Maritime Energy Management at World Maritime University. With a PhD in Electrical Engineering from the University of Genova, his research focuses on sustainable maritime solutions including port energy management, circular economy applications, and ship emission control technologies. He has led numerous EU-funded projects such as Horizon Europe's SeaNergy and CyberMar. Research Expertise: Air pollution abatement, externality cost analysis, and clean-tech solutions for maritime transport. His work bridges economic and environmental dimensions of port operations. Professional Experience: Former Adjunct Professor at the University of Genova teaching Maritime Economy and Social Cost-Benefit Analysis. Extensive project management experience across EU programs including TEN-T and Interreg.

• Maritime Energy Management
• Circular Economy in Ports
• Ship Emissions Control
• +۳ مورد دیگر

Marco L. Della Vedova is a Senior Lecturer in Applied Artificial Intelligence at Chalmers University of Technology, Sweden. He works in the Vehicle Engineering and Autonomous Systems division within the Department of Mechanics and Maritime Sciences, as part of Prof. Mattias Wahde's research group. Since 2025, he has served as Director of the Data Science and AI master's programme (MPDSC) at Chalmers, where he teaches courses including Introduction to Artificial Intelligence and Digitalization in Sports. Dr. Della Vedova earned his academic foundation at the University of Pavia, Italy, where he completed his BSc (2006), MSc (2009), and PhD (2013) in Computer Engineering. His doctoral research focused on "Real-Time Physical Systems and Electric Load Scheduling" under Prof. Tullio Facchinetti. During his PhD studies, he spent a year at U.C. Berkeley hosted by Prof. Francesco Borrelli at the Model Based Predictive and Distributed Control Lab. His research spans multiple AI domains with a strong emphasis on interpretability. Dr. Della Vedova develops interpretable methods for conversational AI, naturalness evaluation of forests using canopy height models, and geospatial applications. His work bridges theoretical AI with practical societal benefits, particularly in environmental monitoring, transportation systems, and orienteering. He has previously contributed to cloud computing, hate speech detection, and cyber-physical energy systems, demonstrating his interdisciplinary approach to AI research. Dr. Della Vedova's publication record reveals a consistent trajectory of impactful research across multiple domains of artificial intelligence. His recent work shows a strong focus on interpretability in AI systems, with significant contributions to natural language processing, geospatial analysis, and causal inference. The research demonstrates both theoretical depth and practical applications, particularly in environmental monitoring and social media analysis. His methodology often combines traditional machine learning approaches with novel interpretability techniques, creating bridges between complex AI systems and human understanding. Dr. Della Vedova has received several prestigious recognitions for his work: Best PhD thesis award from the Order of the Engineers of Bergamo (2013) Italian champion of Il Cervellone (2012) Top Italian performer in IEEEXtreme 6.0 programming competition (148th overall globally, 2012) Premio Arturo Schena award from Fondazione Credito Valtellinese (2010) With over 50 students supervised through bachelor's and master's theses, Dr. Della Vedova has established himself as a dedicated mentor in the AI community. His current PhD students include Minerva Suvanto working on interpretable NLP and Vivien Lacorre developing AI for railway infrastructure inspection. His supervision spans diverse topics from forest naturalness evaluation to hate speech detection and transportation optimization. Beyond formal supervision, he actively contributes to educational initiatives including serving as Director of Chalmers' Data Science and AI master's program and developing innovative teaching methods that connect theoretical concepts with real-world applications. Dr. Della Vedova is deeply embedded in both academic and professional communities. He leads the Applied Artificial Intelligence research group at Chalmers while maintaining strong connections with European research networks through projects like the ERASMUS+ EUrienteering initiative. His interdisciplinary approach is reflected in collaborations across computer science, environmental science, and social sciences. Notably, he applies his AI expertise to orienteering both as a researcher developing localization methods and as a licensed Event Advisor for the International Orienteering Federation, demonstrating how his professional and personal interests converge in innovative ways.

• Artificial Intelligence and Machine Learning
• Interpretable and Explainable AI
• Geospatial AI
• +۷ مورد دیگر

Krister Wolff is an Associate Professor of Adaptive Systems at the Department of Mechanics and Maritime Sciences (M2) at Chalmers University of Technology. He also serves part-time as Vice Head of Department for Education. His research focuses on applying artificial intelligence, machine learning, and bio-inspired methods to robotics, autonomous systems, and self-driving vehicles. He teaches in the international Master's program in Complex Adaptive Systems. His work includes projects such as AI-supported vehicle suspension design, propeller optimization using genetic algorithms, and developing interactive robots for social distancing in healthcare settings. He has contributed to over 39 publications and 9 research projects, collaborating with organizations like VINNOVA and the Swedish Transport Administration. Notable projects include ISOLDE for hospital robots and Tactical Decision-Making in Autonomous Driving funded by the Wallenberg Foundation. Key areas of expertise include reinforcement learning for autonomous vehicles, evolutionary algorithms in design optimization, and driver behavior modeling in critical scenarios. His research bridges theory and practical applications, emphasizing collaboration between academia and industry.

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۲ مورد دیگر

Per Åhag is an Associate Professor at the Department of Mathematics and Mathematical Statistics, Umeå University. His research spans several complex variables, pluripotential theory, and differential geometry, with applications in Kähler geometry, polyfold theory, and mathematical education. Current research projects include 'Mathematical Modeling for Sustainable Development and Societal Change' (2024-2029) and 'Tensors and Geometric Metrics on Manifold-like Polyfolds' (2022-2026). He explores mathematical education through studies like 'Students' Perspectives on Artificial Intelligence' (2022-2024) and 'Formative Assessment and Personalized Learning' (2022-2024). Recent publications address complex Hessian equations, geodesics in m-subharmonic functions, and educational strategies. His work intersects pure mathematics and applied educational psychology, demonstrating a commitment to both theoretical and pedagogical advancements.

• Several Complex Variables
• Pluripotential Theory
• Differential Geometry
• +۷ مورد دیگر

Frida Lind is an Assistant Professor at the Department of Supply and Operations Management, Chalmers University of Technology. Her work focuses on business networks, digital transformation, and sustainable logistics, with a particular emphasis on startups, resource renewal, and collaborative innovation. Research Themes : Digital-physical resource integration, circular economy, networked business models, and sustainable freight transport. Notable Contributions : Studies on university spin-offs, geofencing in urban logistics, and resource development in heavy industry networks. Recognition : Recipient of the Outstanding Article of the Year–2014 award in 2015. Frida's recent articles explore trends in circular product development, smart products, and renting models in the textile industry. Her work bridges digitalization with sustainability, emphasizing value creation through collaborative strategies. Contact: frida.lind@chalmers.se

• Business Networks
• Digital Transformation
• Circular Economy
• +۵ مورد دیگر

Lea Fobbe is a Lecturer at the University of Gävle, specializing in Industrial Economics with a focus on sustainability transitions in supply chains and organizations. Her research integrates stakeholder engagement strategies, circular economy principles, and industrial systems analysis to advance sustainable business practices. Education and Credentials: She holds a doctoral degree (2023) and a licentiate degree (2021) from the University of Gävle, with both theses centered on stakeholder engagement for organizational sustainability. Research Focus: Sustainable supply chain management, emphasizing energy efficiency and local food systems. Stakeholder engagement frameworks for circular economy implementation in manufacturing. Organizational collaboration models to drive sustainability in seaports and industrial sectors. Publications Insight: Her recent articles (2019–2025) demonstrate a consistent theme of developing practical frameworks for sustainability, using methodologies ranging from literature reviews to empirical case studies. Key trends include adaptive stakeholder engagement models, circular economy transitions, and supply chain optimization for environmental resilience. Awards and Honors: No scientific awards are documented in the provided materials. Additional Contributions: She actively collaborates with international researchers on projects related to smart manufacturing education and port sustainability. No specific grants, student advisement, or lab affiliations are detailed.

• Industrial Economics
• Sustainability
• Stakeholder Engagement
• +۲ مورد دیگر

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +۵ مورد دیگر

Jonas Westin is an Associate Professor at the Department of Mathematics and Mathematical Statistics and a Research Fellow at the Centre for Regional Science (CERUM) at Umeå University. His research focuses on applying mathematical methods and models to address social science challenges, particularly in transportation, regional development, and environmental policy. He teaches courses in mathematical modeling and project courses for civil engineering students, and is recognized as a university teacher. His research interests include transportation economics, input-output analysis, and operations research, with a focus on optimizing freight networks, evaluating infrastructure policies, and modeling regional accessibility. He has contributed to projects analyzing sustainable aviation, maritime safety, and cross-border infrastructure planning in Northern Europe. Westin collaborates with institutions like Trafikverket (Swedish Transport Administration) and the Nordic countries’ transport networks. His work bridges theoretical mathematical modeling with practical policy analysis, emphasizing the implications of transport policies on regional competitiveness and environmental sustainability. Notable projects include the Botnia-Atlantica corridor analysis and studies on fossil-free regional aviation. Affiliations: Associate Professor, Department of Mathematics and Mathematical Statistics Research Fellow, CERUM (Centre for Regional Science) Key Research Themes: Transportation Network Optimization Regional Economic Impact Analysis Environmental Policy Modeling His recent publications highlight innovative approaches to freight modeling, maritime safety metrics, and cross-border infrastructure coordination. Westin’s interdisciplinary work reflects a commitment to addressing complex societal challenges through rigorous quantitative methods.

• Mathematical Modeling
• Transportation Economics
• Regional Science
• +۳ مورد دیگر

Ming Xiao is an Associate Professor in the Division of Information Science and Engineering at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science (EECS). He is affiliated with the Digital Futures Faculty and leads research in wireless communications, machine learning, and network coding. His work focuses on 6G networks, distributed learning, and secure communications. Affiliations: KTH EECS, Digital Futures, Swedish Research Council, EU Horizon Europe projects Roles: Editor for IEEE Transactions on Wireless Communications, TPC Co-Chair for VTC Fall Research Interests: Dr. Xiao's expertise spans wireless communication systems (e.g., mmWave, NOMA), network coding, machine learning applications in communications, and energy-efficient distributed systems. He has pioneered work on intelligent reconfigurable surfaces (RIS), federated learning in edge computing, and integrated sensing-communications (ISAC). Projects: Ongoing EU-funded projects include ASCENT (autonomous vehicular networks) and COVER (unmanned aerial vehicles for emergency response). Past projects include 6G channel coding and intelligent energy management in smart communities. Grants: Over 12 active grants from VR, EU Horizon Europe, FORMAS, STINT, and VINNOVA Awards: IEEE Vehicular Technologies Society Best Paper Award (2023), World Top 2% Researcher (2020–2023), Highly Cited Researcher in Computer Science/Engineering. Labs/Teams: Leads the KTH Digital Futures initiative, collaborates with RISE Research Institutes, and manages a team of 12 PhD students/postdocs focusing on 6G, distributed ML, and secure IoT.

• Wireless Communications
• Network Coding
• Machine Learning
• +۱۰ مورد دیگر

Jenny Norrman is a Professor in the Division of Geology and Geotechnics at Chalmers University of Technology, where she leads the Engineering Geology research group and serves as Head of Unit. Her research focuses on sustainable environmental management with emphasis on contaminated land remediation, subsurface planning, and geosystem services. She directs multiple interdisciplinary projects including SPADES (Spatial Planning and Design with Soil) and UNDER (Geosystem services underneath sustainable communities), funded by EU and Swedish research councils. Her core research investigates: Nature-based solutions for upgrading contaminated urban land Risk management frameworks for soil remediation Economic valuation of geosystem services Sustainable subsurface resource utilization Stakeholder-integrated brownfield regeneration Her publication trends reveal strong focus on practical applications of environmental science, with recent work emphasizing PFAS remediation, phytomanagement techniques, and integration of ecosystem services into policy frameworks. She frequently employs cost-benefit analysis and probabilistic modeling to evaluate remediation strategies. Norrman leads significant grants including RECOVER (Climate-smart agriculture on demined land in Ukraine) and ISLANDR (Information-based land remediation strategies), collaborating with European Commission and Swedish Transport Administration. She coordinates multi-institutional teams across geology, economics, and urban planning disciplines.

• Environmental Engineering
• Soil Remediation
• Geosystem Services
• +۴ مورد دیگر

Henning Jessen is a Professor at the World Maritime University (WMU), holding the Nippon Foundation Chair in Maritime Law and Digital Change since 2016. He specializes in legal aspects of IMO Conventions, EU maritime law, Law of the Sea (UNCLOS), carriage of goods by sea, marine insurance, and international transport law. He serves as Programme Coordinator for WMU’s Postgraduate Diploma in Marine Insurance Law & Practice since 2018 and joined the editorial board of WMU’s Journal of Maritime Affairs in 2022. Education: Ph.D. (Dr. iur) summa cum laude, Martin-Luther-Universität Halle-Wittenberg (2005) LL.M. in Admiralty and Maritime Law, Tulane University (2004) Law Degree (First and Second State Exams), Christian-Albrechts-Universität Kiel (2002) His research focuses on maritime legal frameworks, digitalization challenges, and environmental sustainability. He has published extensively on topics including marine insurance, autonomous shipping regulation, and EU Arctic governance. His 15 most recent publications address legal implications of MASS, fuel technology compliance, and social policy in maritime transport. Notable awards include a Fulbright Scholarship. He is a fully qualified German lawyer with prior faculty roles at universities in Bremen (2008-2012) and Hamburg (2012-2016). He contributes to WMU’s EDU 101 course on maritime education frameworks. Scientific Awards: Fulbright Scholarship

• Maritime Law
• International Maritime Policy
• IMO Conventions
• +۴ مورد دیگر

Alessandro Schönborn is an Associate Professor at World Maritime University specializing in Maritime Energy Management. He teaches Alternative Fuels and Marine Renewable Energy, covering wave, tidal, and ocean current technologies. His research focuses on sustainable propulsion systems and emission reduction technologies. With expertise in fuel chemistry and engine technologies, his work explores ammonia combustion, hydrogen-enriched fuels, and emission measurement techniques. Recent studies emphasize decarbonization pathways for maritime transport. Publications demonstrate strong focus on alternative marine fuels, including ammonia-hydrogen propulsion systems, LNG applications, and techno-economic analyses of green hydrogen production. His research incorporates lifecycle assessments to evaluate environmental impacts.

• Alternative Fuels
• Marine Renewable Energy
• Engine Technologies
• +۳ مورد دیگر

Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +۷ مورد دیگر

Xin Zhao is an Associate Professor at the Fluid Dynamics Division within the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. His research focuses on multidisciplinary design and analysis of aircraft propulsion systems and air traffic management, including conventional, hybrid, electric, and hydrogen propulsion systems, aviation noise and emissions modeling, and thermal management systems for aero engine applications. Dr. Zhao's primary research interests include: Advanced propulsion technologies for sustainable aviation Noise prediction and abatement techniques Flight procedure optimization using meteorological data Boundary layer ingestion aerodynamics Environmental impact assessment of aviation systems Thermal management in aero engines His recent publications demonstrate a strong focus on sustainable aviation solutions, with emphasis on noise reduction techniques, flight procedure optimization, and hybrid-electric propulsion systems. The research consistently addresses both theoretical modeling and practical applications in aircraft design and operations. Dr. Zhao leads and contributes to numerous research projects funded by the European Commission, Swedish Transport Administration, and Swedish Energy Agency, including: HOPE (2023-2027): Hydrogen Optimized multi-fuel Propulsion system NEFAT (2023-2025): Noise Exposure in Future Air Traffic IMOTHEP (2020-2023): Hybrid Electric Propulsion technologies SUBLIME (2019-2022): Boundary Layer Ingesting Model Experiment STATMET (2019-2022): Statistical Meteorological database for flight procedures

• Aircraft Propulsion Systems
• Aviation Noise Modelling
• Emissions Modelling
• +۵ مورد دیگر