جست‌وجوی استاد و پژوهشگر

• Tribology
• Railway Engineering
• Wheel/Rail Contact Tribology
• +۵ مورد دیگر

Roger Lewis is a Professor of Mechanical Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering . He graduated from Sheffield in 1996 with an MEng and completed his PhD in the Tribology Research Group . His academic career progressed from Lecturer (2002) to Senior Lecturer (2006), Reader (2011), and finally a personal chair in 2013. In 2019, he was appointed a Royal Academy of Engineering Research Chair , co-funded by the Rail Safety and Standards Board , focusing on low adhesion management in wheel/rail interfaces. PhD in Tribology (University of Sheffield) MEng in Mechanical Engineering (University of Sheffield) His research spans two domains: industrial wear solutions (railway wheel/rail tribology, friction modifiers, condition monitoring) and human tissue interactions (skin friction modeling, medical device interface analysis, slip/fall mechanics). He pioneered ultrasonic techniques for contact analysis and edited The Wheel/Rail Interface Handbook . Awards include the Tribology Trust Bronze Medal (2001), Brian Mercer Innovation Award (2003), and Donald Julius Groen Prize (2020). Roger's recent publications (2025-2024) focus on railway wear mechanisms (corrosion interactions, Mn13/CrB1400 rail steels), particle entrainment modeling , and adhesion optimization via sanding. His work integrates experimental twin-disc testing , DEM/CFD simulations , and real-time monitoring of wheel/rail contacts. Scientific Honors: Tribology Trust Bronze Medal (2001) Brian Mercer Award for Innovation (2003) Institute of Physics Innovation Prize (2008) Donald Julius Groen Prize (2020) Chartered Engineer and IMechE Fellow Roger leads the Leonardo Tribology Centre and has developed laser cladding techniques for rail repair. His work on friction modifiers and adhesion management has direct applications in railway safety and efficiency.

• Energy systems
• Powertrains
• Internal combustion engines
• +۵ مورد دیگر

Enrico Corti is an Associate Professor at the University of Bologna's Department of Industrial Engineering since 2014. His research focuses on energy systems and powertrain technologies including internal combustion engines, hybrids, and fuel cells, with emphasis on control systems and synthetic fuels. He collaborates with major automotive companies like Audi, BMW, Ducati, Ferrari, and Lamborghini. Degree in Mechanical Engineering (1999, University of Bologna, cum laude) PhD in Engineering of Machines and Energy Systems (2004, University of Bologna) Research interests span powertrain testing, control algorithms, malfunction diagnosis, and hydrogen-fueled hybrid systems. His work includes hardware/software tool development for powertrain measurement and model definition for physical systems. He participates in projects like PRIN 'H2ICE' and PNNR Spoke 2 'Sustainable Road Vehicles'. Teaching includes courses on machinery, engine control, and powertrain calibration at Bologna and Modena universities. He co-founded Alma Automotive srl (2002), a spin-off supplying automotive solutions to companies like Audi and Ferrari.

• Internet of Things (IoT)
• Radio-Frequency Identification (RFID)
• Mobile Health (mHealth)
• +۳ مورد دیگر

Elgar Fleisch is a Professor at the University of Zurich, specializing in interdisciplinary research at the intersection of Internet of Things (IoT), Radio-Frequency Identification (RFID), Mobile Health (mHealth), and Energy Informatics. His work bridges theoretical and applied domains, focusing on real-time data analytics, wearable technologies, and behavioral interventions. Key research areas include sensor-based health monitoring systems Development of transparent computing frameworks for AI/data collection Consumer behavior analysis through IoT-enabled retail and energy systems Machine learning applications for circadian rhythm analysis and respiratory disease detection Recent publications demonstrate expertise in federated learning for cough classification, circadian rhythm biomarkers, and driver behavior analytics. While no specific awards are listed in this dataset, his collaborations with institutions like ETH Zurich and University of St. Gallen indicate broad academic engagement.

• RFID Technology
• Anticollision Protocols
• Algorithm Analysis and Optimization
• +۳ مورد دیگر

Hugo Landaluce Simon is a Lecturer at the University of Deusto , affiliated with the School of Engineering and the Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Informatics and Telecommunications (2014) and an M.Sc. in Advanced Electronics Systems (2010) from the same institution. Research Focus : RFID technology, anticollision protocols, algorithm optimization, and wireless systems. His work bridges theoretical and experimental RFID studies, including hardware platforms, sensor networks, and applications in smart mobility. Supervised Theses : Guided Ph.D. research on passive computational RFID platforms (2021) and dynamic protocol strategies (2018, 2018). Notable Projects : Collaborator in Deusto Smart Mobility (2022–2025), Cognitive Computing for Resilient Cities (2022–2025), and Enhanced Data Processing for Multimodal Traffic (2021–2025). Email : hlandaluce@deusto.es His publications span RFID hardware design, anticollision protocols, and IoT applications, with recent work on polarization-diversity rotation sensing (2023) and fully customizable RFID platforms (2021). Articles emphasize algorithm analysis, energy efficiency, and sensor network integration.

• Sustainable HCI
• Persuasive Technologies
• Behavior Change Technologies
• +۳ مورد دیگر

Dr. Diego Casado Mansilla is a Researcher at the MORElab group within the Department of Computing, Electronics and Communication Technologies at the College of Engineering, University of Deusto. His work bridges Sustainable Human-Computer Interaction (HCI), Persuasive Technologies, and Internet of Things (IoT) systems to drive behavior change in energy consumption, urban sustainability, and STEM education accessibility. Education: PhD in Persuasive Technologies for Sustainability and Behavior Change (2016), University of Deusto His research spans two decades, focusing on Sustainable Design , Physical Interaction with Everyday Objects , and Human-Centric IoT Systems . He has led projects like Suggestive Autonomy (2016) and co-led GreenSoul (2017, 2019), which employ IoT for energy awareness in public buildings. Current projects include AmIAire (air quality monitoring) and Urban Adaptation and Alert Solutions (climate resilience, 2024-2028). Key trends in his 20+ publications (2012-2025) include: Energy efficiency in tertiary buildings and smart cities IoT protocols (CoAP, IEC 61850) for industrial and urban systems Behavioral economics and nudging for sustainable decisions Rural STEM education via remote experiments Privacy-preserving smart workplace systems Climate change perception studies across generations His supervised theses and projects address User Diversity , Edge Computing , and Industry 4.0 Adoption . He collaborates with European institutions on grants from the Ministry of Science and Innovation and European Commission , contributing to citizen science initiatives like SOCIO-BEE and educational tools such as EngageMate and Computario .

Yi Zhaoمشاهده پروفایل

پژوهشگر

• Energy Systems
• Decarbonization Technologies
• Industrial Sustainability
• +۳ مورد دیگر

Yi Zhao is a Researcher at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the SCI-STI-FM group (IPESE) at EPFL Valais Wallis. Their work bridges energy systems analysis, industrial decarbonization, and refrigeration engineering. Research Interests Energy storage technologies (e.g., solid oxide electrolysis) Refinery and heavy industry decarbonization strategies Application of genetic algorithms and active learning in energy optimization Low-GWP refrigerant systems for automotive use Development of databases for industrial sustainability (AIDRES project) Modeling of thermodynamic and fluid dynamics in refrigeration systems Scientific Contributions Leading the AIDRES database project for European industrial decarbonization Innovating cost estimation frameworks for hydrogen storage systems Advancing AI-driven optimization in energy system design Investigating CO2 electrolysis safety and efficiency Contact: yi.zhao@epfl.ch

Matthias Kluschمشاهده پروفایل

استاد

• Hybrid (Neuro-Symbolic) AI
• Quantum Artificial Intelligence
• Intelligent Agents
• +۵ مورد دیگر

PD Dr. Matthias Klusch is a Principal Researcher and DFKI Research Fellow at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, where he heads the Intelligent Information Systems (I2S) research team within the Agents and Simulated Reality department. He holds the position of Private Docent (habilitated faculty member) in Computer Science at Saarland University, affiliated with the Faculty of Mathematics and Computer Science and the Computer Science Department at the Saarland Informatics Campus. Dr. Klusch earned his diploma and doctoral degree (PhD) from the University of Kiel and completed his habilitation in Computer Science at Saarland University. His academic journey includes positions as Adjunct Professor at Swinburne University of Technology in Melbourne, Assistant Professor at VU Amsterdam and TU Chemnitz, and Postdoctoral Researcher at Carnegie Mellon University. His research focuses on the intersection of cutting-edge AI paradigms, with particular emphasis on hybrid (neuro-symbolic) AI systems that combine the strengths of symbolic reasoning and machine learning approaches. He has pioneered work in quantum artificial intelligence for coordination and optimization problems, intelligent agent technologies, and semantic service coordination. His work bridges theoretical foundations with practical applications in autonomous systems, automotive technology, and smart information systems. Dr. Klusch's recent publications demonstrate a clear trajectory toward quantum-enhanced AI solutions, particularly in optimization, navigation, and coalition formation problems. His work increasingly integrates quantum computing principles with traditional AI techniques to address computational challenges that are intractable for classical approaches alone, showing particular promise in autonomous vehicle navigation, satellite networks, and complex regression problems. Finalist for the ACM SIGART Award for Excellence in Autonomous Agent Research (2008) As an active educator, Dr. Klusch has supervised numerous Master's theses and regularly teaches advanced seminars and courses at Saarland University on Quantum AI, Hybrid Learning and Reasoning, and AI for Autonomous Driving. He has led multiple significant research projects including QAI2/QAICO (Quantum AI for Automotive Industry), WELCOME (intelligent conversation agents for migrant integration), CREMA (cloud-based manufacturing), and MODEST (model-driven agents for semantic web services), with funding from the European Commission, German Federal Ministry of Education and Research (BMBF), and industry partners. Dr. Klusch leads the Intelligent Information Systems (I2S) research team at DFKI, which focuses on developing innovative approaches to intelligent data analysis and service coordination. His team actively participates in the Saarland Informatics Campus ecosystem, collaborating with researchers across multiple institutions on cutting-edge AI challenges, particularly in the emerging field of quantum AI applications.

Vadim Malvoneمشاهده پروفایل

دانشیار

• Strategic Reasoning
• Multi-Agent Systems
• Formal Verification
• +۵ مورد دیگر

Vadim Malvone is an Associate Professor in the Computer Science and Networks (Infres) department at Télécom Paris, affiliated with the Autonomous and Critical Embedded Systems (ACES) team within the Information Processing and Communication Laboratory (LTCI). His research focuses on strategic reasoning, multi-agent systems, formal verification, and temporal logics in theoretical computer science. Education: Ph.D. in Computer Science (2018), University of Naples "Federico II" Master's in Computer Science (2014), University of Naples "Federico II" Bachelor's in Computer Science (2010), University of Naples "Federico II" Research Trends: His recent work spans attack graphs , stochastic temporal logics , compositional verification frameworks , and cost-aware strategic modeling . He explores formal methods for cybersecurity, smart contracts, and dynamic game reasoning. Scientific Awards: BEST PAPER AWARD at Formal Methods - 25th International Symposium, FM 2023 Advising and Grants: Vadim supervises research projects on topics like dynamic cybersecurity strategies for automotive cyber-physical systems and verification of smart contracts . He has collaborated with institutions including University of Evry, Polish Academy of Sciences, and Sorbonne University. Labs & Teams: He works with the ACES team at LTCI (Télécom Paris) and has engaged in international collaborations with researchers such as Francesco Belardinelli, Aniello Murano, and Jean Leneutre.

Ahmed Serhrouchniمشاهده پروفایل

استاد

• Cybersecurity
• Cryptography
• Blockchain
• +۳ مورد دیگر

Ahmed Serhrouchni is a Professor at Télécom Paris, affiliated with the Computer Science and Networks (Infres) department. He leads the Specialized Masters® in Design, Network Architecture and Cybersecurity and Cybersecurity and Cyberdefense. His research focuses on cybersecurity, cryptography, blockchain, and IoT security. Research interests include: Secure blockchain applications in healthcare and vehicular networks Lightweight cryptographic protocols for IoT and C-ITS Machine learning for security threats detection (e.g., DNS flooding, Sybil attacks) Anti-jamming mechanisms in vehicular communication PUF schemes resistant to ML attacks Recent publications highlight advancements in blockchain scalability, TLS protocol security, and vehicular network defenses. His work emphasizes practical implementations for 5G, IoV, and secure authentication in distributed systems. He is associated with the Cybersecurity and Cryptography (C²) team and the Information Processing and Communication Laboratory (LTCI).

• Supply Chain Management
• Information Fusion in Manufacturing/Maintenance
• Multi-Agent Systems in Logistics
• +۳ مورد دیگر

Sandor Ujvari is a Senior Lecturer in Logistics at the University of Skövde , associated with the School of Business and the Department of Commerce and Entrepreneurship. His research focuses on Supply Chain Management , Information Fusion in Manufacturing/Maintenance , Multi-Agent Systems (MAS) in Logistics , and AGV Modeling . His scholarly work spans interdisciplinary collaborations, particularly in healthcare quality improvement, where he explores Trust dynamics in management-initiated reforms System reliability in service delivery Cross-sectoral knowledge transfer He has published extensively on simulation-based optimization, stochastic transportation models, and institutional entrepreneurship. Recent trends in his publications highlight Integration of multi-agent systems for logistics Sustainability in supply chains Adaptation of industrial methods to healthcare His teaching involves Bachelor-level logistics courses and training programs, emphasizing ERP systems and digital transformation in supply chains. He currently leads the ongoing project "Labour Market Challenges of Green Transition in West Sweden" (2023–2029), analyzing societal impacts of automotive industry transformation. His co-authors include prominent researchers like Thomas Andersson , Nomie Eriksson , and Per Hilletofth . No scientific awards are explicitly mentioned in the provided texts.

• Wireless Communications
• Internet of Things (IoT)
• Electric Vehicles
• +۶ مورد دیگر

Nagham Saeed serves as Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, a position she has held since April 2023. Previously, she was Senior Lecturer in Electrical Engineering at the same institution from November 2017 to April 2023, following roles as Electronic Lecturer at Uxbridge College (2012-2017) and Electronic/Control Lecturer at Brunel University (2007-2012). Her academic credentials include: Ph.D. in Optimization in Wireless Networks and Communications (Brunel University, 2007-2011) M.Sc. in Mechatronics (University of Technology, Baghdad, 1997-1999) B.Eng. in Computer and Control (University of Technology, Baghdad, 1988-1992) DTLLS Diploma in Teaching (University of Westminster, 2012-2014) BAPP in Learning and Teaching (Brunel University, 2009-2010) Assessing Competence Certification (Uxbridge College, 2014) Dr. Saeed's research spans wireless communications, IoT, electric vehicles, and AI-driven energy optimization. Her work focuses on Bluetooth Low Energy applications for healthcare monitoring, battery management systems for EVs, sustainable ICT practices, and GIS-based land use analysis. She pioneers solutions for energy-efficient radio access networks and develops AI models for vehicle classification and low-resource language processing. Analysis of her 2022-2025 publications reveals three dominant trends: (1) AI integration for sustainable energy systems in telecommunications and transportation, (2) blockchain-secured vehicular networks for 6G infrastructure, and (3) cross-disciplinary applications of IoT in healthcare and environmental monitoring. Her research consistently bridges electrical engineering with computer science to solve real-world sustainability challenges. Professional recognition includes: MDPI Reviewer Acknowledgements (2020) for Algorithms, Applied Sciences, and Information journals While her 2022 educational research on feedforward teaching approaches demonstrates pedagogical engagement, no student supervision or grant management details are documented. Current institutional affiliations show no dedicated laboratory facilities or research teams specified in available records.

Janine Wendtمشاهده پروفایل

استاد

• Corporate Law
• Banking and Capital Markets Law
• Artificial Intelligence Law
• +۵ مورد دیگر

Professor Dr. Janine Wendt (née Oelkers), affiliated with the Department of Civil Law and Corporate Law at Technical University of Darmstadt since 2011, specializes in corporate governance, compliance, and the legal implications of artificial intelligence and autonomous systems. She previously held academic positions at the University of Vienna and Vienna University of Economics and Business. University of Vienna (Law studies) Vienna University of Economics and Business (Postdoctoral Assistant) Technical University of Darmstadt (Professor since 2011) Her research focuses on interdisciplinary intersections of corporate law, AI regulation, product liability, and responsible digitalization. Key contributions include analyzing legal uncertainty in autonomous manufacturing, compliance frameworks for AI systems, and corporate social responsibility mechanisms in executive compensation. She actively participates in projects like KIARA (BMBF) and RoboTrust (Competence Center for Responsible Digitalization). Recent publications and lectures address trends in AI law, human-robot interaction liability, and compliance challenges in Industry 4.0. She received the Walter Kastner Grand Prize (2008) for her dissertation on Italian corporate law. Her work spans collaborations with institutions such as the German Kidney Foundation and DFG-funded research centers. Walter Kastner Grand Prize (2008) Co-editor of EU AI Regulation Commentary (2025) Principal Investigator in KIARA (BMBF) and RoboTrust (Responsible Digitalization)

Bastian Bohnمشاهده پروفایل

پژوهشگر

• Mathematics of Machine Learning
• Approximation Theory
• High-dimensional Discretizations
• +۳ مورد دیگر

Bastian Bohn is a Researcher at the Institute for Numerical Simulation (University of Bonn). He focuses on Mathematics of Machine Learning , Approximation Theory , and High-dimensional Discretizations . His work bridges Sparse Grid Methods Numerical Analysis Scientific Computing with modern ML applications. His recent publication Algorithmic Mathematics in Machine Learning (2024) consolidates his work on algorithmic foundations for high-dimensional data analysis. Earlier studies investigate Deep Kernel Learning Explainable AI Dimensionality Reduction using sparse grid frameworks.

• Artificial Intelligence
• Transportation Engineering
• Vehicle Safety Systems
• +۳ مورد دیگر

Filippo Velardocchia serves as a Research Fellow at the Department of Management and Production Engineering (DIGEP) at Polytechnic University of Turin. His academic work focuses on the intersection of artificial intelligence and transportation engineering, particularly in developing safety systems for heavy vehicles. His research interests center on applying advanced machine learning techniques to solve critical challenges in vehicle dynamics and safety. Specializing in Long-Short Term Memory networks and synthetic data generation, Velardocchia's work addresses the complex problem of heavy vehicle rollover prevention across various operational conditions. His expertise spans both theoretical algorithm development and practical implementation of AI solutions for real-world transportation challenges. Analysis of his publication record from 2022-2025 reveals a focused research trajectory on enhancing vehicle safety through artificial intelligence. His work demonstrates increasing sophistication in handling real-world challenges such as noise in sensor data and operational variability in different vehicle types and terrains. The consistent collaboration with Guido Perboli suggests a strong research group focused on intelligent transportation systems at Polytechnic University of Turin. Velardocchia completed his doctoral studies in the XXXVII Cycle under the supervision of Guido Perboli, with his thesis focusing on enabling artificial intelligence techniques at the operational level. His research has been published in reputable venues including IEEE Open Journal of Intelligent Transportation Systems and various international conference proceedings focused on logistics and transportation.

• Mechatronics
• Mobile Propulsion Systems
• Automotive Engineering
• +۳ مورد دیگر

Markus Eisenbarth is a researcher at RWTH Aachen University specializing in Mechatronics in Mobile Propulsion, based in Building 4153, Room V204 at Forckenbeckstr. 4, 52074 Aachen. He holds the academic title Dr.-Ing. (Doktoringenieur) and serves within the university's engineering research infrastructure. His research focuses on interdisciplinary mechatronic systems for mobile propulsion applications, integrating mechanical engineering, electronics, and control theory. Key areas include automotive propulsion systems , real-time control algorithms , and electromechanical integration for vehicle dynamics optimization. This work bridges theoretical modeling with practical implementation in mobile platforms. As part of the Mechatronics in Mobile Propulsion team, Dr. Eisenbarth contributes to both teaching initiatives and advanced research projects within RWTH Aachen's engineering programs. The group maintains specialized laboratory facilities for propulsion system testing and validation in Aachen.