Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018–2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review. Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.

• 1. Sustainable Urban Mobility Plans (SUMPs) – An Overview2. Leveraging Meta-Heuristics and Deep Learning for Decision Support Systems in Sustainable Transport Applications3. Consensus Reaching Process for Intelligent Vehicle Group Decision-Making in Smart Transportation System4. Shared Electric Vehicle Usage Risk Prioritization Based on Integrated FMEA and CRADIS Methods with T-Spherical Uncertain Linguistic Information5. Safety Risk Assessment of Autonomous Vehicles for Sustainable Transportation6. Developing a GIS-Supported SVN-WENSLO-ARLON Hybrid Method for Bicycle Pooling Location Selection: A Case Study in Turkiye7. Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects8. Flexible Linguistic Consensus Decision Making for Sustainable Transport Practices9. Optimization based decision making for sustainable transport: Insights into the aviation industry 10. A Generalized Hellinger Distance-Based Spherical Fuzzy TOPSIS Method for Sustainable Transport Systems Selection11. Fuzzy multi-criteria decision making for assessing public transportation systems for sustainable transportation12. Determining enablers for the application of sustainable and resilient urban transport systems using T-spherical fuzzy DEMATEL-ISM model13. Selection of the solution for the integration of sustainable and resilient urban transport systems using linguistic T-spherical fuzzy COCOSO’B method14. Sustainable AI-Assisted Energy-Efficient Edge Cloud System for Industrial Internet of Things Applications

Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018–2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review. Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.

• 1. Sustainable Urban Mobility Plans (SUMPs) – An Overview2. Leveraging Meta-Heuristics and Deep Learning for Decision Support Systems in Sustainable Transport Applications3. Consensus Reaching Process for Intelligent Vehicle Group Decision-Making in Smart Transportation System4. Shared Electric Vehicle Usage Risk Prioritization Based on Integrated FMEA and CRADIS Methods with T-Spherical Uncertain Linguistic Information5. Safety Risk Assessment of Autonomous Vehicles for Sustainable Transportation6. Developing a GIS-Supported SVN-WENSLO-ARLON Hybrid Method for Bicycle Pooling Location Selection: A Case Study in Turkiye7. Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects8. Flexible Linguistic Consensus Decision Making for Sustainable Transport Practices9. Optimization based decision making for sustainable transport: Insights into the aviation industry 10. A Generalized Hellinger Distance-Based Spherical Fuzzy TOPSIS Method for Sustainable Transport Systems Selection11. Fuzzy multi-criteria decision making for assessing public transportation systems for sustainable transportation12. Determining enablers for the application of sustainable and resilient urban transport systems using T-spherical fuzzy DEMATEL-ISM model13. Selection of the solution for the integration of sustainable and resilient urban transport systems using linguistic T-spherical fuzzy COCOSO’B method14. Sustainable AI-Assisted Energy-Efficient Edge Cloud System for Industrial Internet of Things Applications

Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018–2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review. Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.

• 1. Sustainable Urban Mobility Plans (SUMPs) – An Overview2. Leveraging Meta-Heuristics and Deep Learning for Decision Support Systems in Sustainable Transport Applications3. Consensus Reaching Process for Intelligent Vehicle Group Decision-Making in Smart Transportation System4. Shared Electric Vehicle Usage Risk Prioritization Based on Integrated FMEA and CRADIS Methods with T-Spherical Uncertain Linguistic Information5. Safety Risk Assessment of Autonomous Vehicles for Sustainable Transportation6. Developing a GIS-Supported SVN-WENSLO-ARLON Hybrid Method for Bicycle Pooling Location Selection: A Case Study in Turkiye7. Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects8. Flexible Linguistic Consensus Decision Making for Sustainable Transport Practices9. Optimization based decision making for sustainable transport: Insights into the aviation industry 10. A Generalized Hellinger Distance-Based Spherical Fuzzy TOPSIS Method for Sustainable Transport Systems Selection11. Fuzzy multi-criteria decision making for assessing public transportation systems for sustainable transportation12. Determining enablers for the application of sustainable and resilient urban transport systems using T-spherical fuzzy DEMATEL-ISM model13. Selection of the solution for the integration of sustainable and resilient urban transport systems using linguistic T-spherical fuzzy COCOSO’B method14. Sustainable AI-Assisted Energy-Efficient Edge Cloud System for Industrial Internet of Things Applications