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Dr. Saeid Habibi is a Tier I Canada Research Chair and a full Professor in the Department of Mechanical Engineering at McMaster University. He leads the Centre for Mechatronics and Hybrid Technologies (CMHT), specializing in advanced automotive research, including battery management systems, autonomous driving, and electric vehicle technologies. His research focuses on control systems, state estimation, and fault detection/diagnosis, with applications in automotive, aerospace, and robotics sectors. Education: B.Sc. (Hons) in Control Engineering, University of Dundee, 1986 Ph.D. in Control Engineering, University of Cambridge, 1990 Research Interests: Dr. Habibi’s work spans control systems, hybrid vehicles, battery management, and mechatronics . He has pioneered the Smooth Variable Structure Filter (SVSF) for state estimation and fault detection. His interdisciplinary expertise bridges academia and industry, with collaborations in automotive electrification, fluid power, and actuation systems. Key projects include the development of prognostic tools for battery health and the creation of advanced test equipment commercialized globally. Key Contributions: Founder and CEO of EECOMOBILITY Inc., a startup focused on AI-driven vehicle diagnostics. Director of the CMHT lab, which houses cutting-edge automotive research facilities. Recipient of prestigious awards, including the ASME and CSME Fellowships, and multiple NSERC grants. Awards & Recognition: 2022 Dean’s Doctoral Mentoring Honour Roll 2015 ASME Fellowship 2012 IEEE Transportation Electrification Best Paper Prize Teaching & Mentorship: Dr. Habibi teaches advanced courses in mechatronics and hybrid vehicle design. He has mentored over 100 graduate students, many of whom now hold leadership roles in industry and academia. His NSERC CREATE initiative promotes interdisciplinary education in vehicle electrification. Labs & Partnerships: CMHT collaborates with industry leaders like Ford, Honda, and Bombardier, focusing on electrified powertrains, battery diagnostics, and autonomous systems. The lab supports large-scale projects funded by NSERC and Ontario’s Research Fund.

• Control Systems
• Automotive Engineering
• Hybrid Vehicles
• +6 more

Jose Maria Armingol Moreno is a Full Professor at the University Carlos III of Madrid, affiliated with the Department of Systems Engineering and Automation. He serves as Director of the Master's Degree in Internet of Things: Applied Technologies and leads the Intelligent Systems Laboratory research group within the Duque de Santomauro Institute of Motor Vehicle Safety. His expertise spans autonomous systems, computer vision, robotics, and intelligent transportation infrastructure. Key research interests include vehicle safety, sensor fusion, and deep learning applications in traffic monitoring and autonomous navigation. He has authored over 100 peer-reviewed articles, with recent work focusing on 3D vehicle detection, UAV battery systems, and intelligent infrastructure for smart cities. Dr. Armingol has also led numerous projects on autonomous vehicle development, cooperative driving systems, and traffic safety technologies. His contributions include patented innovations in vehicle inspection and collision avoidance systems.

• Autonomous Vehicles
• Computer Vision
• Intelligent Transportation Systems
• +5 more

Emmanouil Kakouris is an Assistant Professor in Civil Engineering at the School of Engineering, University of Warwick. He holds a PhD from the University of Nottingham (2019), a MEng in Civil Engineering (2012) and a MSc in Earthquake Resistant Structures (2014) from the National Technical University of Athens, Greece. He previously worked as a Research & Design Engineer at Roughan & O’Donovan (ROD) Consulting Engineers, Ireland, and as a Research Associate at the University of Nottingham. His research focuses on computational mechanics, damage modeling, multiscale modeling, and AI-driven engineering systems. Key projects include probabilistic damage assessment of additive manufacturing materials (P-DAM), AI for multiscale material damage modeling, and infrastructure climate change risk assessment (INFRALIC). He also collaborates on transport infrastructure projects, such as mitigating bridge/tunnel strikes by oversized vehicles. Teaching includes leading the ES3G8 Integrated Project module for undergraduate and Degree Apprentices. He reviews for top journals like Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering . Active in PhD supervision, he offers scholarships through CIS, CSC, Monash-Warwick Alliance, and Shanghai Jiao Tong University programs. His funded research spans over £3.5M, including EPSRC grants and EU Horizon 2020 projects. Current vacancies include a PhD on AI-assisted modeling of ductile fracture, with applications prioritized until a candidate is identified.

• Computational Mechanics
• Damage Modelling
• Multiscale Modelling
• +5 more

Dr. Moataz Mohamed is an Associate Professor of Civil Engineering at McMaster University and Director of the McMaster Institute for Transportation & Logistics (MITL). His research focuses on systemic evaluation of transportation networks to achieve sustainable and resilient systems, emphasizing electric and autonomous technologies. He holds the Joseph Ip Distinguished Engineering Fellowship. Education: B.Eng. (Assiut University, Egypt), M.A.Sc. (University of Rome), Ph.D. (University of Ulster). Awarded prestigious honors including Runner-Up Smeed Prize (2011), IEEE ITEC Best Paper (2020), and Ron Rice Award (2021). Research Interests: Electric transit systems, UAV logistics, energy-grid interactions, multimodal accessibility, and policy impact. Grants & Projects: SSHRC-funded transit infrastructure study, NRCan-funded E-Bus Energy Simulator (ZEVAI project), and collaboration with University of Liverpool on decarbonizing port cities. Teaches courses like CIV ENG 6T04 (Transit Modelling) and CIV ENG 745 (Multivariate Data Methods). Leads initiatives to accelerate ZEV adoption in trucking and public transit sectors.

• Transportation Engineering
• Sustainable Transportation
• Electrification of Transit Systems
• +5 more

Frans Tillema is a Lecturer at the Automotive Research Department of the Academy of Engineering and Automotive at HAN University of Applied Sciences. His research focuses on Intelligent Mobility, including Advanced Driver Assistance Systems (ADAS), autonomous driving, and cooperative vehicles. He emphasizes model development and validation through prototyping, aiming to ensure safe future mobility through interdisciplinary collaboration. Member of the Gelderland Energy Agreement mobility team Quality Team member of Brainport Smart District (appointed by Helmond's Mayor) Board member of the Association of Lecturers Supervisory Board member of 'Het Stedelijk Lyceum Enschede' Research projects include HUBRIS (human-like robotics in vehicle systems), SAVED (autonomous logistics), and H2Lab (hydrogen systems). Notable collaborations involve Ten Kate Racing for sustainable motorsport and Brainport Industries Campus for innovation partnerships.

• Intelligent Mobility
• Advanced Driver Assistance Systems (ADAS)
• Autonomous Driving
• +3 more

Benoit Delinchant is a Professor at Université Grenoble Alpes, affiliated with the National School of Energy, Water and the Environment (Ense3) and the Department of Electrical Engineering and Industrial Computing. He serves as co-head of the MAGE research team (Models, Methods and Methodologies Applied to Electrical Engineering) at G2ELab since 2015 and co-facilitator of the Thematic Group for Complex Systems within GdR SEEDS. His educational leadership includes roles as Director of Studies and co-head of the GREEN thematic program at GS@UGA. Education: 2011: Habilitation to Direct Research (HDR), University of Grenoble 2003: Ph.D. in Electrical Engineering, INP Grenoble 2000: DEA in Electrical Engineering (Master's equivalent), INP Grenoble 2000: Engineering Degree in Electrical Engineering, INP Grenoble His research develops methods for modeling, simulation, and optimization of electrical energy systems, spanning electromagnetic components to multi-energy networks and building efficiency. Key focus areas include: Automatic modeling strategies for energy system design Uncertainty management in complex energy networks Optimization techniques for building-grid interactions Human-in-the-loop control systems His work integrates computational intelligence with practical applications in sustainable urban systems. Recent publications emphasize data-driven approaches to energy flexibility, carbon-aware systems, and hybrid modeling. Dominant themes include machine learning applications for load forecasting, lifecycle assessment methodologies, and experimental validation of demand response strategies. Cross-cutting focus on sustainability links building-scale optimizations with grid-level decarbonization challenges. Scientific Awards: No awards mentioned in source materials. Academic Supervision & Projects: Supervised 19 completed PhD theses and 6 ongoing doctoral candidates Led 4 study engineers, 6 post-docs, and managed 28+ Master's internships Major projects: Singapore NRF CREATE DesCartes (2021-26), PEPR TASE HyMES (2022-27), H2020 COLLECTiEF (2021-25), Grenoble IDEX OTE Observatory (2022-25), ANR COSIMPHI/INTENS/PRECCISION Leads research within G2ELab's MAGE team, collaborating with ENEDIS, EDF, ENGIE, Schneider Electric, CEA, and CSTB. Coordinates international partnerships including Brazil (UFSC) and Vietnam (USTH) for energy transition research.

• Electrical Engineering
• Energy Systems Optimization
• Building Energy Efficiency
• +5 more

Tolga Soyata is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University's College of Engineering, specializing in cyber-physical systems, digital health, and high-performance computing. Previously, he served as an Associate Professor at SUNY Albany (2016-2019), Senior Lecturer at Johns Hopkins University (2020), and Assistant Research Professor at the University of Rochester (2008-2016). PhD, Electrical and Computer Engineering, University of Rochester (2000) MS, Electrical and Computer Engineering, Johns Hopkins University (1992) BS, Electrical and Communications Engineering, Istanbul Technical University (1988) His research focuses on cyber-physical systems , digital health applications , and FPGA/GPU-based high-performance computing , with significant contributions in medical cyber physical systems, brain-computer interfaces, and energy harvesting for embedded systems. His work bridges hardware design with healthcare applications and smart city infrastructure. Analysis of his recent publications reveals a strong emphasis on medical applications of cyber-physical systems (30%), smart city infrastructure (25%), energy-efficient computing (20%), and security/privacy frameworks (15%). His work consistently integrates hardware innovation with real-world applications, particularly in healthcare monitoring and urban systems. BEST PAPER AWARD (UEMCON18-BCI) PRESIDENTIAL AWARD FOR UNDERGRADUATE RESEARCH BEST PAPER AWARD (HONET-ICT'15) IEEE Senior Member (2016-present) ACM Senior Member (2016-present) As an advisor, he has mentored 12 PhD students (including 2 who completed degrees under his supervision) and over 25 master's/undergraduate researchers, many of whom received awards for their work. His TTIP directorship at GMU focuses on expanding graduate education in computer engineering through innovative recruitment and bridge programs. His research has been supported by industry partnerships with NVIDIA, Xilinx, and MOSIS. He leads research in medical cyber physical systems and energy-harvesting architectures, with lab facilities supporting FPGA development, GPU programming, and medical sensor integration for digital health applications.

• Cyber-Physical Systems
• Digital Health
• FPGA-Based High-Performance Computing
• +5 more

Kudirat Zakariyyah is a Lecturer in Construction Management and Project Management for Construction (CM&PMfC) at the University of Brighton's School of Architecture, Technology and Engineering. She holds a PhD in Building from the University of Lagos, alongside advanced qualifications in Construction Management and Building Technology. Her research focuses on improving construction project performance through organizational culture, digital transformation, and workforce safety/well-being. She is a Registered Builder and trained Quality Assurance Assessor. Education : PhD (Building), University of Lagos (2010-2017) M.Sc. (Construction Management), University of Lagos (2003-2004) B.Sc. (Building), University of Lagos (1999-2003) HND (Building Technology) (1990-1997) Research Interests: Construction project management, occupational safety, building defects analysis, sustainability, digital transformation, and skills development. She actively supervises postgraduate research in project management, learning organizations, and occupational health. Publications: Recent works explore generative AI in education, WRMSD impacts on social sustainability, digital transformation strategies, and safety compliance in Nigerian construction firms. Her research bridges theoretical frameworks with practical industry challenges. Teaching: Focuses on interactive, analogy-based learning to enhance student engagement and critical thinking in construction management.

• Construction Project Management
• Occupational Safety & Health
• Building Defects Analysis
• +5 more

Prof. Andrea Bonci is an Associate Professor at the Department of Information Engineering, Polytechnic University of Marche. His research focuses on automation, robotics, control systems, and machine learning, with applications in industrial automation, predictive maintenance, and human-robot collaboration. He leads projects involving edge computing frameworks, digital twins, and advanced control algorithms for manufacturing systems. His work integrates AI techniques such as Echo State Networks and Deep Learning for anomaly detection and process optimization. Key research areas include: Development of collaborative robot systems for material handling and precision manufacturing Real-time control systems for autonomous vehicles and motorcycles Edge AI frameworks for industrial anomaly detection Modelling and simulation of cyber-physical systems Recent publications emphasize innovations in ROS 2-based robotics, PID control for lateral vehicle dynamics, and energy-efficient production planning. His contributions bridge theoretical control systems with practical industrial applications, aiming to enhance manufacturing efficiency and safety.

• Automation
• Robotics
• Control Systems
• +3 more

Prof. Aldo Franco Dragoni is an Associate Professor at the Department of Information Engineering, Polytechnic University of Marche (UNIVPM). He specializes in artificial intelligence applications for healthcare, cybersecurity, and smart systems. His research spans machine learning, computer vision, and multi-agent systems, with notable projects like CLAUDIA (Alzheimer's diagnosis via 3D MRI) and Cloud-YLung (lung cancer histology classification). He leads initiatives in medical imaging analysis, violence detection, and IoT-based systems. Research interests include AI-driven medical diagnostics, cyber-physical systems, and BDI agent architectures for ambient assisted living (e.g., Virtual Carer project). His work integrates cloud computing, neural networks, and multi-agent reasoning for healthcare solutions. Publications focus on AI applications in medical imaging, surveillance, and smart environments. He contributes to academic publications and conference proceedings, co-authoring papers on topics like deep learning for violence detection, face recognition systems, and blockchain in multi-agent negotiations.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +3 more

Prof. Simone Orcioni is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche. His research focuses on sensor systems, biomedical engineering, nonlinear signal processing, and embedded systems. He leads projects in structural health monitoring, battery management, and telemedicine solutions. Orcioni's work integrates hardware design, algorithm development, and data analytics to address challenges in infrastructure maintenance, healthcare, and sustainable energy. Education: Not explicitly listed, but his role as an associate professor implies advanced academic credentials in electrical or biomedical engineering. Research interests include wearable sensors for healthcare monitoring, IoT-enabled environmental systems, and stochastic modeling of nonlinear processes. He collaborates on interdisciplinary projects involving robotics, circular economy, and smart infrastructure. His publications span journals and conferences in signal processing, biomedical engineering, and electronics. Notable areas include electrochemical impedance spectroscopy, sleep monitoring systems, and low-cost sensor networks. Orcioni's work emphasizes practical applications, such as non-invasive vital sign detection and sustainable battery recycling processes. Awards: None explicitly mentioned. Grants and collaborations are implied through his research projects but not detailed in the text. He contributes to academic governance via his teaching and administrative roles at the university. Labs/Teams: Affiliated with the Department of Information Engineering's research groups focused on embedded systems, biomedical instrumentation, and nonlinear signal analysis. Collaborates with industry partners on projects like smart EV charging systems and telemedicine platforms.

• Sensor Systems
• Biomedical Engineering
• Signal Processing
• +5 more

Prof. Paola Pierleoni is a Researcher at the Department of Information Engineering of the University of Ancona and Marche Polytechnic (UNIVPM) . Her work focuses on IoT, telecommunications, and wearable sensor systems applied to healthcare, disaster management, and industrial automation. She leads projects in real-time data processing , embedded machine learning , and cross-protocol communication , with notable contributions to earthquake early warning systems and diabetes therapy optimization. Her research combines telecommunications engineering with health monitoring applications , including gait analysis for Parkinson’s disease, stress assessment via wearable sensors, and underwater diver monitoring. She has developed low-cost IoT solutions for infrastructure monitoring (e.g., water leak detection) and AI-driven algorithms for medical diagnostics and industrial predictive maintenance. Key projects include: Earthquake Early Warning systems using MEMS accelerometers AIoT frameworks for ambient assisted living (AAL) Bluetooth mesh network optimization for latency-sensitive applications Machine learning models for diabetes therapy personalization Her work emphasizes interdisciplinary collaboration , integrating engineering, computer science, and medical expertise. Office hours are held on Mondays 9:00–13:00 at the Department of Information Engineering, Via Brecce Bianche.

• Telecommunications
• IoT (Internet of Things)
• Wearable Sensors
• +3 more

Dr. Yan Wang is a Principal Lecturer at the University of Brighton's School of Arch, Tech and Eng Communication, specializing in remanufacturing and sustainable manufacturing. His research focuses on intelligent manufacturing systems, circular economy strategies, and carbon accounting methodologies. He chairs BSI committee TPR1/7/3 and contributes to national standards like BS8887. Dr. Wang holds a PhD in Advanced Manufacturing Engineering from the University of Nottingham and has organized high-level UK-China collaborations in remanufacturing policy. Education: PhD in Advanced Manufacturing Engineering, University of Nottingham (2005) Master's in Computer Integrated Manufacturing System, Guangdong University of Technology (2000) Bachelor's in Mechanical and Manufacturing Engineering, Wuhan Textile University (1996) Research Interests: Dr. Wang's work bridges academia and industry, emphasizing remanufacturing processes, lifecycle data modelling, and net-zero manufacturing. His projects include optimizing energy-efficient machining strategies, developing predictive battery health models, and standardizing end-of-life product strategies. He leads initiatives like the BRIIM project promoting intelligent manufacturing education under China's Belt and Road Initiative. Grants & Projects: REMP: Digital Supply Chain Feasibility Study (2021-2021) BRIIM: China-UK Education Partnership (2019-2024) Parafix KTP: Manufacturing Efficiency (2019-2022)

• Intelligent Manufacturing
• Remanufacturing
• Circular Economy
• +3 more

Dr. Frank Ghansah is a Lecturer in Quantity Surveying at the Division of Construction, Property and Surveying, affiliated with the Digital x Data Research Centre since October 2023. He holds a PhD in Real Estate and Construction from the University of Hong Kong and advanced degrees from Kwame Nkrumah University of Science and Technology, actively supervising PhD students in sustainable construction research. His educational background includes: PhD in Real Estate and Construction, University of Hong Kong (2020-2023) MPhil in Project Management, Kwame Nkrumah University of Science and Technology BSc in Quantity Surveying and Construction Economics (First Class Honours), Kwame Nkrumah University of Science and Technology Dr. Ghansah's research centers on digital transformation for sustainable construction, with emphasis on BIM, digital twins, and AI applications to advance quality assurance, circular economy principles, and modular building methods. His work addresses critical challenges in low-carbon construction, smart building technologies, and supply chain resilience, particularly in developing contexts like Ghana. Analysis of his 43 publications (2020-2025) reveals dominant trends in pandemic-impacted construction logistics, digital twin implementations for carbon management, and circular procurement frameworks. His research bridges digital innovation with practical sustainability outcomes, showing increasing focus on AI-driven solutions and developing-world applications since 2023. Dr. Ghansah actively mentors PhD candidates and has secured major research funding including a HKD 5.31 million Collaborative Research Fund project on modular construction optimization and a RMB 5 million Theme-based Research Fund for digitalization initiatives. His peer-review activities span top journals like Engineering, Construction and Architectural Management and Smart and Sustainable Built Environment. As a core member of the Digital x Data Research Centre, he leads international collaborations on human-robot construction teams, circular economy frameworks, and offsite manufacturing. His current projects integrate Ghanaian case studies with global supply chain innovations to develop context-specific digital construction solutions for emerging economies.

• Sustainable Construction
• Digital Construction
• Construction Quality Assurance
• +6 more

Souma Chowdhury is an Associate Professor in the Department of Mechanical and Aerospace Engineering and an Adjunct Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo. His work focuses on nature-inspired computing, swarm systems, autonomous robotics, and UAV design, integrating AI, optimization, and physics-infused machine learning. He leads the ADAMS Laboratory, advancing robotics, human-swarm interaction, and energy systems. Education: PhD, Mechanical Engineering, Rensselaer Polytechnic Institute (2012) MS, Mechanical Engineering, Florida International University (2008) BTech, Indian Institute of Technology (2007) Research Interests: Swarm robotics and collective behavior Autonomous systems and UAVs Physics-aware AI and machine learning Multi-fidelity optimization and metamaterials Human-swarm interaction Energy systems and smart grids His recent work emphasizes real-time decision-making in robotics, space debris capture systems, and urban air mobility. Over 50+ publications demonstrate his contributions to AI-driven robotics and sustainable energy solutions. Awards: NSF CAREER Award (2021) SEAS Early Career Researcher of the Year (2019) Renewable Energy Top Paper Award (2015) Grants & Projects: $5K Summer Foundry funding (RPI, 2012) NYSERDA CleanTech funding (2012) Labs & Teams: ADAMS Laboratory (Autonomous & Distributed Agents for Multi-domain Systems) Develops open-source tools like SHaSTA for human-swarm collaboration

• Nature-inspired computing
• Swarm systems
• Autonomous systems
• +7 more