Find Academic Supervisors

• Monolithic Microwave Integrated Circuits (MMIC)
• Millimeter-wave and Terahertz Electronics
• Packaging Technologies for High-Frequency Circuits
• +2 more

Vessen Vassilev serves as an Associate Professor in the Department of Microtechnology and Nanoscience at Chalmers University of Technology, Sweden, where he has been affiliated since 1998. His academic journey began at Sofia Technical University before transitioning to Chalmers for advanced degrees and his current research leadership role. His educational qualifications include: M.Sc. in Radio Communications, Sofia Technical University, Bulgaria (1995) M.Sc. in Digital Communications, Chalmers University of Technology (1998) Ph.D., Department of Radio and Space Science, Chalmers University of Technology (2003) Professor Vassilev's research focuses on pioneering Monolithic Microwave Integrated Circuits (MMIC) for frequencies exceeding 100 GHz, with dual emphasis on circuit design and specialized packaging technologies. His work extends to millimeter-wavelength sensor development, most notably an automotive polarimetric radar system validated in real traffic conditions for road surface characterization—a breakthrough enabling differentiation between wet, icy, and dry pavement through advanced electromagnetic sensing. Analysis of his recent publications (2021-2025) reveals concentrated expertise in D-band/E-band communications, automotive radar applications, and innovative packaging solutions. Key thematic threads include road surface sensing using polarimetric techniques, high-speed wireless data transmission above 100 GHz, and gap waveguide antenna integration—demonstrating consistent contributions to next-generation millimeter-wave systems for both communication and safety-critical applications. He maintains active research within Chalmers' Microwave Electronics Laboratory, driving projects that bridge theoretical circuit design with practical implementation in radio astronomy heritage systems and emerging automotive technologies.

• Modeling (multivariate methods, reactor modeling, experimental design)
• Catalytic reactors (exhaust gas purification, automotive catalysis)
• Internal combustion engines
• +6 more

Jonas Sjöblom is an Associate Professor at Chalmers University of Technology, affiliated with the Transport, Energy and Environment division. His research focuses on connecting modeling techniques, catalytic reactor design, internal combustion engines, and emission control to create environmentally friendly vehicles and improve air quality. Modeling: Multivariate methods, reactor modeling, experimental design Emissions: Engine, brake, and tire particulate matter Air Quality: Control instruments and policy implications Projects: Involved in 40 initiatives, including hydrogen propulsion, emission regulations, and virtual calibration systems His recent work includes computational modeling of catalytic systems, characterization of alternative fuel emissions, and applications of machine learning in trip prediction. Collaborations span Chalmers departments, Gothenburg University, and industry partners like AFA Försäkring and Energimyndigheten.

• Combinatorial Optimization in Logistics and Production Systems
• Resilience in Cyber-Physical and Collaborative Networks
• Machine Learning/AI in OR

Dr Fatima Ezzahra Achamrah serves as a Lecturer in Operations and Supply Chain Management at the Sheffield University Management School, University of Sheffield, where she contributes to advancing research at the intersection of operations research and artificial intelligence. Her work focuses on developing innovative methodologies to solve complex logistical challenges in modern supply chains. Education: Ph.D. in Industrial Engineering from Paris Saclay University, CentraleSupelec, France Engineering degree (MEng/CEng) in Process Engineering from the National School of Applied Sciences, Morocco Research Interests: Dr Achamrah's research centers on Combinatorial Optimization in Logistics and Production Systems , Resilience in Cyber-Physical and Collaborative Networks , and Machine Learning/AI in OR . She pioneers interdisciplinary approaches that integrate reinforcement learning with exact and meta-heuristic methods to address vehicle routing, inventory management, and 3D bin packing problems. Her groundbreaking work on flow management within cyber-physical networks, particularly the 'Physical Internet' concept, aims to revolutionize supply chain resilience and efficiency through AI-driven solutions. Publication Trends: Her recent publications (2022-2025) reveal a dominant focus on deep reinforcement learning applications for combinatorial optimization under uncertainty, with significant contributions to sustainable cargo-bike delivery systems, selective maintenance in cyber-physical manufacturing, and Physical Internet protocols. These works consistently address stochastic demands and dynamic environments, demonstrating how AI-enhanced optimization can transform logistics operations while enhancing environmental sustainability. Grants and Supervision: Principal Investigator for The Grantham Centre for Sustainable Futures (GCSF) GO Fund (2024, £10,000) Co-Investigator for APR&D programme (2021-2023, £420,000) She actively supervises PhD research in operations and supply chain efficiency, resilience, sustainability, and cyber-physical network management, guiding next-generation researchers in developing intelligent logistics solutions. Research Group: Dr Achamrah is a core member of the Operations Management and Decision Sciences (OMDS) research group, driving collaborative projects that bridge theoretical innovation with practical industry applications.

Irina HarrisView profile

Senior Lecturer

• Logistics Network Design
• Facility Location and Allocation
• Multi-Objective Optimization
• +3 more

Irina Harris is a Senior Lecturer in Logistics and Operations Modelling at the Cardiff Business School , Cardiff University, and serves as Deputy Section Head for Research, Innovation, and Engagement within the Logistics and Operations Management Section. Her career bridges computer science and logistics, focusing on sustainable network design, multi-objective optimization, and technological trends in supply chains. PhD in Computer Science (2011) - Multi-Objective Optimization for Green Logistics BSc (First Class) in Computer Science, Cardiff University Her research explores strategic and tactical logistics network design through economic and environmental lenses, emphasizing green logistics and reverse supply chains . She specializes in heuristics , evolutionary algorithms , and multi-criteria decision-making tools , often collaborating with industry partners to address real-world challenges. Her recent publications highlight electric vehicle adoption trends using agent-based modeling and machine learning , collaborative strategies in SME logistics , and carbon mitigation in multimodal transport . While no scientific awards are documented, her work frequently addresses sustainability in public procurement, supply chain resilience, and climate change adaptation. Contact: HarrisI1@cardiff.ac.uk

Kamal HossainView profile

Associate Professor

• Pavement Performance and Sustainability
• Recycled and Alternative Highway Materials
• Climate Change Impact Assessment and Adaptation for Highway Pavements
• +19 more

Dr. Kamal Hossain is an Associate Professor in the Department of Civil and Environmental Engineering at Carleton University's Faculty of Engineering and Design. He leads the Advanced Road & Transportation Engineering Lab (ARTEL), focusing on sustainable and resilient transportation infrastructure. His work addresses critical challenges in pavement engineering, particularly in the context of climate change and emerging vehicle technologies. Dr. Hossain's extensive research portfolio spans pavement performance, sustainable materials, climate adaptation strategies, and winter maintenance technologies. His work integrates civil engineering principles with environmental sustainability to develop innovative solutions for Canada's extensive road network. He has published numerous high-impact papers in top transportation journals and secured significant research funding from organizations like NSERC and Transport Canada. His recent publications demonstrate a strong focus on climate change adaptation for asphalt pavements, autonomous vehicle impacts on infrastructure, and sustainable materials. The research spans theoretical modeling, field testing, and practical implementation strategies, with particular emphasis on Canadian climatic conditions and infrastructure needs. Scientific Awards: Editor's Choice Paper, ASCE Journal of Cold Regions Engineering (2022) Editor's Choice Paper, Canadian Journal of Civil Engineering (2022) Research Excellence Award to PhD Student, Memorial University Graduate Student Union (2020) Best Paper of Pavements Award, ASCE T&DI Pavement Conference, Chicago (2019) NSERC Postdoctoral Fellowship (2016) Dr. Hossain has supervised numerous graduate students working on cutting-edge pavement research, with several receiving prestigious awards including the CTAA Graduate Scholarship. His research has been supported by major funding agencies including NSERC, MTO, NRC-CNRC, and industry partners. The Advanced Road & Transportation Engineering Lab (ARTEL) serves as a hub for innovative transportation research, collaborating with government agencies and industry partners to address real-world infrastructure challenges. ARTEL actively engages with the broader community through media appearances, conference presentations, and industry partnerships. The lab's work has been featured in major media outlets including CBC, Vancouver Sun, and The Telegram, highlighting the societal relevance of Dr. Hossain's research on road infrastructure challenges.

Lars Magnus HvattumView profile

Professor

• Combinatorial Optimization
• Mathematical Programming
• Decision Support Systems
• +7 more

Lars Magnus Hvattum is a Professor in Quantitative Logistics at Molde University College, Faculty of Logistics. His work focuses on developing mathematical models and optimization methods for complex planning problems across various domains including transportation, maritime logistics, and sports analytics. Professor Hvattum's primary research interests span several key areas in operations research and optimization: Mathematical modeling of complex planning situations Methods to solve combinatorial optimization problems Dealing with uncertainty in planning Development of decision support systems His research portfolio demonstrates a strong focus on both theoretical and applied aspects of optimization. In recent years, he has published extensively on tabu search algorithms, vehicle routing problems, maritime inventory routing, and the application of machine learning techniques to optimization challenges. His work bridges the gap between theoretical advances in operations research and practical applications in logistics and beyond. Professor Hvattum is actively involved in multiple research groups including ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), the Center for Healthcare Operations Management, and the Energy Logistics Research Group (EneLog). His collaborative research extends across international boundaries with frequent co-authorship with researchers from various institutions worldwide.

Vinko LešićView profile

Associate Professor

• Model Predictive Control
• Smart Grids
• Renewable Energy Systems
• +5 more

Associate Professor Vinko Lešić is affiliated with the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), specifically within the Department of Control and Computer Engineering. His research focuses on advanced control systems, smart grids, renewable energy integration, IoT applications in agriculture, and optimization algorithms. Notable projects include predictive climate control systems for buildings, precision pest detection using hyperspectral imaging, and energy-efficient street lighting solutions. He has contributed to over 50 peer-reviewed articles and led initiatives like the AgroSPARC project for climate-resilient agriculture. His work bridges theoretical control theory with practical applications in smart cities and sustainable energy systems. Research interests span Model Predictive Control (MPC), distributed energy management, and machine learning integration with industrial automation. He collaborates on EU-funded projects addressing climate change impacts on agriculture and urban infrastructure. Teaching responsibilities include courses on automation fundamentals and process control, emphasizing hands-on IoT and PLC implementations. Current activities include developing zone climate control living labs and resilient energy management systems for buildings and microgrids. Publications highlight innovations such as coalitional MPC for building zones, data-driven thermal modeling, and adaptive battery charging for electric vehicles. He advises projects on renewable energy integration and has pioneered sensor-based systems for crop health monitoring. Though no formal awards are listed, his extensive publication record and industry collaborations reflect his academic and applied contributions.

• Operations Research
• Logistics Optimization
• Supply Chain Management
• +3 more

Yuanyuan Li is a Researcher at LINKS Foundation and currently pursuing a PhD in Operations Research and Management at ESSEC Business School (France) with a visiting PhD at Nanyang Business School (Singapore). She holds a Master’s in Software Engineering and a Bachelor’s in Computer Engineering from the Polytechnic University of Turin (Italy). Her research focuses on optimization techniques for sequential decision-making, large-scale optimization problems, and their applications in last-mile delivery and startup operations. She has presented work at prestigious conferences including INFORMS Annual Meeting, POMS, and EURO, and contributed to EU-funded projects like LEXIS and SYNCHRO-NET. Technical skills include programming languages (Java, Python, OPL, C, SQL, HTML), software tools (CPLEX, Gurobi, Eclipse, MySQL), and operating systems (Windows, macOS, Linux). Language proficiency includes Chinese (native), English (fluent), and Italian/French (basic).

Jésica De ArmasView profile

Associate Professor

• Operations Research
• Combinatorial Optimization
• Metaheuristics
• +10 more

Jésica De Armas is an Associate Professor at the Department of Economics and Business, Universitat Pompeu Fabra (UPF) in Barcelona, Spain. She holds a prestigious Ramon y Cajal Fellowship from the Spanish Ministry of Science and Innovation, recognizing her outstanding research contributions. Her academic career spans multiple institutions, with previous postdoctoral positions at the Open University of Catalonia (UOC) and the University of La Laguna (ULL). PhD in Computing (Cum Laude) from University of La Laguna (2012) Computer Engineering degree with special award for best academic record Ramon y Cajal Fellowship recipient (2022) PhD Extraordinary Award from University of La Laguna (2012) PhD Award from Spanish Association of Artificial Intelligence (AEPIA) (2014) Her research focuses on developing and applying optimization techniques to solve complex real-world problems. She specializes in combinatorial optimization, metaheuristics, and machine learning approaches applied to logistics, transportation, and health care systems. Her work bridges theoretical advancements with practical implementations, particularly in vehicle routing, scheduling, and resource allocation problems. She has established herself as a leading researcher in optimization for social good, with significant contributions to humanitarian logistics and health care delivery systems. Dr. De Armas's publications reveal a strong trajectory in operations research with applications spanning multiple domains. Her research shows a clear evolution from theoretical optimization methods toward increasingly complex real-world applications, particularly in health care and social services. Her most recent work demonstrates a sophisticated integration of simulation, machine learning, and optimization techniques to address challenges in refugee resettlement, home care services, and public infrastructure planning. The consistent publication in high-impact journals reflects her growing influence in the field of operations research. Ramon y Cajal Fellowship (2022) Best Paper Award from Energies (2019) Luis Azcárraga Award from ENAIRE Foundation (2017) PhD Award from Spanish Association of Artificial Intelligence (2014) PhD Extraordinary Award from University of La Laguna (2012) HPC-Europa2 Fellowship (2011) Dr. De Armas has successfully secured multiple competitive research grants and has advised numerous students across various academic levels. She has served as Principal Investigator for projects including REASON (2024-2027) on optimizing health care delivery in rural areas, and previously led the EPHoCaS project (2020-2022) focused on sustainable home care services for the elderly. Her advising portfolio includes three PhD students to completion and numerous master's and undergraduate thesis students, demonstrating her commitment to mentoring the next generation of researchers. Her research has led to tangible industry applications, particularly in vehicle routing optimization where her algorithms have been implemented by companies as key business tools. Dr. De Armas maintains an active international research network with collaborations spanning institutions in Edinburgh, Nottingham, Cosenza, Boulder, Hamburg, and Montreal. Her work on the ROAR-NET research network demonstrates her leadership in advancing optimization algorithms research across European institutions. She has also contributed significantly to the academic community through conference organization, including the International Conference on Computational Logistics (ICCL2022) and the Metaheuristics International Conference (MIC 2017).

• Networking
• Wireless Communication
• Internet of Things (IoT)
• +5 more

Frank Yong Li is a Professor in the Department of Information and Communication Technology at the University of Agder, Norway. He holds a Ph.D. in Telematics from the Norwegian University of Science and Technology (NTNU). His research focuses on networking aspects of mobile and wireless systems, including 5G/6G, IoT, cognitive radio, and energy-efficient protocols. He has supervised numerous M.Sc. and Ph.D. theses, with notable awards such as the Best Master Thesis in ICT 2022 for Jon Anders Skadberg Øgaard's work. Teaching responsibilities include advanced courses on mobile communications, IoT, and 5G fundamentals. He has led projects prototyping open-source 5G systems and contributed to maritime IoT and vehicular networks. His work emphasizes protocol design, performance evaluation, and real-world implementation. Research interests span MAC mechanisms, routing protocols, cooperative communications, and network slicing. Key contributions include frameworks for energy-efficient IoT, grant-free access in 5G NR, and reliability analysis in ultra-reliable low-latency communications (URLLC). He advises on over 50 student projects, focusing on IoT, 5G, and network security. Notable collaborations include partnerships with Telenor Maritime and CERN, integrating academia-industry research. His labs explore cutting-edge topics in beyond 5G networks and private mobile infrastructure.

• Transportation Electrification
• Autonomous Vehicle Systems
• Logistics and Quality Management
• +3 more

Magnus Blinge is an Adjunct Professor at Linköping University's Department of Management and Engineering, specializing in Logistics and Quality Management. His research focuses on electrification advancements in transport systems and autonomous vehicle integration. He actively contributes to projects like Ride the Future, which expands autonomous bus routes into residential areas like Vallastaden, bridging research with public accessibility. His work emphasizes sustainable transport solutions, including electric goods transport and emission-free aviation. Blinge collaborates in interdisciplinary teams addressing climate-smart logistics and quality management frameworks for modern transportation challenges. He is affiliated with the Logistics and Quality Management division (LOGQ) and has been featured in university news discussing breakthroughs in electrification and autonomous systems deployment. No formal student advisees or grant details are explicitly documented in available texts. Key projects include real-world implementation of autonomous transportation networks and analysis of electric propulsion scalability across different transport sectors.

Marduch TadarosView profile

Assistant Professor

• Operations Research
• Logistics
• Optimization Algorithms
• +3 more

Marduch Tadaros is an Assistant Professor at Linköping University, affiliated with the Department of Science and Technology and the Communications and Transport Systems division. His research focuses on logistics optimization, transportation systems, and metaheuristic algorithms with applications in hierarchical routing problems and sustainable logistics networks. Key research areas include vehicle routing problem variants, multi-objective optimization, and the integration of environmental considerations into logistics frameworks. His work often involves real-world applications such as HCT vehicle routing, lithium-ion battery recycling networks, and green transportation strategies. Recent publications emphasize algorithm development (e.g., hybrid ant colony optimization, variable neighborhood search) and validation techniques for metaheuristics. Collaborations include co-authors like Athanasios Migdalas and Angelo Sifaleras. No scientific awards are explicitly stated in the provided materials. Current advising and grant information is not detailed here, though his research aligns with quantitative logistics and transport systems themes.

Abdolreza RoshaniView profile

Assistant Professor

• Operations Research
• Business Analytics
• Supply Chain Management
• +3 more

Dr Abdolreza Roshani is a Lecturer (Assistant Professor) in Business Analytics at Surrey Business School , University of Surrey. He also serves as the Undergraduate Program Director for the BSc in Business Management with Business Analytics. He is affiliated with the Centre for Business Analytics in Practice and is a Fellow of the Higher Education Academy (FHEA) and the Sustainability Institute . Education: BSc, MSc, PGc, FHEA, PhD Research Interests: Dr Roshani's research spans Operations Research , Business Analytics , Supply Chain Management , and Optimization . He has a strong focus on resilient supply chain design , additive manufacturing , and energy-efficient production systems . Publications and Research Trends: His recent publications demonstrate a clear trajectory toward integrating advanced analytics with real-world manufacturing and logistics challenges . His work includes developing risk assessment frameworks for additive manufacturing, resilient network design for supply chains, and optimization models for electric vehicle scheduling and assembly line balancing. Scientific Awards and Honors: Fellow of the Higher Education Academy (FHEA) Fellow of the Sustainability Institute Grants and Projects: Dr Roshani was a key contributor to the RAMONA Project , a £1+ million EPSRC-funded collaboration between the University of Warwick, University of Reading, and University of Surrey. The project focused on enhancing resilience in additive manufacturing through disruption detection, analysis, and responsive reconfiguration strategies. Doctoral Supervision and Teaching: He is currently accepting applications from prospective PhD students in Business Analytics and resilient supply chain design . He teaches modules such as Data Mining and Text Analytics at both undergraduate and postgraduate levels. Affiliations and Collaborations: Beyond Surrey, he has conducted advanced research at Genova University and served as a visiting scholar at Kettering University (Michigan) . He also actively collaborates with international researchers and serves as a reviewer and guest editor for leading journals.

Ali ShirzadehView profile

Lecturer

• Project Scheduling and Management
• Supply Chain Management
• Marketing Strategy
• +4 more

Ali Shirzadeh is a Lecturer at the Isenberg School of Management, University of Massachusetts Amherst, specializing in Operations & Information Management. He holds a PhD in Industrial Engineering from Sharif University of Technology (2014), along with MSc and BSc degrees from the same institution. His academic roles include Adjunct Lecturer positions at Northeastern University, Babson College, and Visiting Scholarships at the University of Rhode Island and University of Massachusetts Boston. **Education**: PhD Industrial Engineering, Sharif University of Technology, 2014 MSc Industrial Engineering, Sharif University of Technology, 2008 BSc Industrial Engineering, Sharif University of Technology, 2002 **Research Interests**: Focus on Project Scheduling, Supply Chain Management, Marketing Strategy, and Product Pricing/Return Strategies. His work integrates mathematical modeling, optimization, and operations research to address complex decision-making challenges in business environments. **Awards**: Notable accolades include the Outstanding Ph.D. Graduate Award (2014) and Best Paper Award at the 9th International Industrial Engineering Conference (2013). He has also served as a Session Chair and Keynote Speaker at the 838th ICSTEM conference (2021). **Professional Experience**: Over 15 years of industry experience in management consulting, business analysis, and software design. Roles include Management Consultant at Polymershapes (2019) and Head of Project Management Office at Modiran 21 (2015-2019). Technical certifications include SAP S/4 HANA and SAP Analytics Cloud. **Grants and Labs**: While specific grants or lab affiliations are not detailed, his research collaborations span academic institutions and industry partners, reflecting a strong emphasis on applied operations research and business analytics.

• Operations Research
• Optimization Algorithms
• Combinatorial Optimization
• +4 more

Adam Letchford is a Professor in the Department of Management Science at Lancaster University, specializing in Operations Research and Optimization. His research focuses on combinatorial optimization, integer programming, and algorithm design, with particular contributions to vehicle routing, network design, and polyhedral theory. He has authored numerous peer-reviewed articles, including works on clique partitioning polytopes, knapsack problems, and matheuristics. Letchford is actively involved in academic conferences and editorial roles, contributing to the advancement of operational research methodologies and applications in logistics and decision sciences. His work bridges theoretical foundations with practical implementations, addressing challenges in both academic and real-world contexts.