جست‌وجوی استاد و پژوهشگر

• Logistics Optimization
• Transportation Planning
• Operations Research
• +۳ مورد دیگر

Prof. Michael Schneider is Universitätsprofessor and Chair of Computational Logistics at RWTH Aachen University since 2016. Previously, he held positions at TU Darmstadt (2013-2016) and earned his doctoral degree from TU Kaiserslautern (2012). His research focuses on logistics optimization, including transportation routing, warehouse management, and metaheuristic methods for solving complex operational challenges. He leads the Global Challenges Lab and serves as communication chair of VeRoLog (EURO's vehicle routing group). Research interests include: quantitative modeling for supply chains, heuristic/exact optimization methods, electric vehicle routing, territory design, and production planning. Notable achievements include the INFORMS Journal on Computing Meritorious Paper Award (2021) and editorial roles in journals like Applied Mathematical Modelling. Publications span topics like vehicle routing with time windows, electric logistics networks, and warehouse automation strategies. His work integrates advanced algorithms with real-world industry applications (e.g., DHL, Picnic). The Computational Logistics group collaborates on projects addressing sustainability, autonomous systems, and modern warehousing challenges. Education: Business Admin & Computer Science (University of Mannheim), PhD (TU Kaiserslautern) Professional Roles: VeRoLog Communication Chair, EURO Working Group Key Projects: Electric vehicle routing optimization, warehouse automation, and sustainable logistics networks

• Signal Processing
• Image Processing
• Smart Environments
• +۶ مورد دیگر

Manuel Reis is an Associate Professor with Agregação at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, in the Electrical Engineering Department. His research focuses on signal/image processing, smart environment systems, and multimedia education technologies. He is affiliated with the Institute of Electronics and Telematics Engineering of Aveiro (IEETA) and collaborates with Brazil's IFPA-Santarém in computing education research. Education: Bachelor's in Electrical Engineering (University of Trás-os-Montes e Alto Douro, 1991) Master's in Electronics and Telecommunications (University of Aveiro, 1996) PhD in Electrical Engineering (University of Aveiro, 2001) Research Interests: Signal & Image Processing Cybersecurity for IoT and Smart Environments Education Technology (e-learning, multimedia tools) 5G and Edge Computing Applications Artificial Intelligence in Agriculture and Healthcare Recent articles highlight his work on cybersecurity in connected vehicles, federated learning for IoT security, and IoT-based systems for drowsiness detection. He has contributed to projects involving smart city infrastructure, sustainable waste management, and low-cost biomedical devices. His educational research explores e-learning frameworks, student engagement metrics, and innovative teaching methodologies in engineering education. Lab/Affiliations: Institute of Electronics and Telematics Engineering of Aveiro (IEETA) Multidisciplinary Research Group IFPA-Santarém-Brazil (Computing in Education)

Andrea Araldoمشاهده پروفایل

دانشیار

• Transportation Systems
• Edge Computing
• Reinforcement Learning
• +۳ مورد دیگر

Andrea Araldo is an Associate Professor at Telecom SudParis within the SAMOVAR research lab, specializing in NeSS (Networks, Systems, and Services). His work focuses on optimizing transportation systems, edge computing, and network resource allocation using advanced techniques like reinforcement learning and game theory. He has published extensively on topics including demand-responsive transit, vehicular cloud computing, and multi-tenant edge resource management. His research addresses challenges in urban mobility equity, infrastructure resilience, and energy-efficient network design. Research Interests: Transportation systems optimization Edge computing architectures Reinforcement learning applications Network resource allocation Urban accessibility equity Autonomous mobility systems Recent Trends in Publications: Recent work emphasizes adaptive transport network design during disruptions, equity-driven public transit planning, and vehicular cloud alternatives to traditional edge computing. He explores hybrid optimization methods combining reinforcement learning with classical algorithms for virtual network embedding and resource scheduling. Grants & Collaborations: Engages in multi-institutional projects involving institutions like Université Paris-Saclay and industry partnerships. Active in conferences such as TRB, IEEE ICC, and ACM SIGCOMM. Labs/Teams: Leads projects within SAMOVAR lab focusing on smart transportation and edge computing systems.

• Chronic Pain
• Chronic Fatigue Syndrome
• Epigenomics
• +۴ مورد دیگر

Andrea Polli is an unpaid and external employee in the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB), Belgium, with an ORCID profile (0000-0001-8559-2217). She maintains an active research profile with 53 documented research outputs and leads multiple funded research projects through 2028. Her research expertise spans several interconnected domains: Chronic Pain Mechanisms (100% research focus) Chronic Fatigue Syndrome/ME/CFS (91% research focus) Epigenetic Regulation in Pain Conditions (66% research focus) Central Nervous System Sensitization (86% research focus) Brain-Derived Neurotrophic Factor Pathways (47% research focus) Dr. Polli's recent publications demonstrate a sophisticated integration of molecular biology, immunology, and clinical pain research. Her 2025 work examines adrenergic dysfunction in ME/CFS, epigenetic mechanisms in pain management, and metabolic-immune interactions in chronic pain conditions. This research bridges basic science with clinical applications, particularly in developing evidence-based management strategies for complex chronic pain syndromes. She received recognition in 2022 for her work on stress intolerance mechanisms in chronic pain: Stress intolerance in patients with chronic widespread pain: are epigenetic mechanisms the answer to the mystery? Dr. Polli is actively involved in five major research projects investigating chronic pain mechanisms, including studies on low back pain comorbidities, epigenetic regulation of exercise-induced pain, stress-related mechanisms, and mitochondrial dysfunction in ME/CFS. Her collaborative network extends across multiple institutions, with significant activity in conference presentations and research supervision.

Haihua Chenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Data Quality
• +۷ مورد دیگر

Haihua Chen is an Assistant Professor of Data Science in the Department of Information Science at the University of North Texas (UNT), with a co-affiliation in Health Informatics. They lead the Intelligent Data Engineering and Analytics (IDEA) Lab, focusing on interdisciplinary research in artificial intelligence, data science, and informatics. Chen earned a Ph.D. in Information Science (concentrating in Data Science) from UNT in 2022, an M.S. in Information Science from Wuhan University, and dual B.S. degrees in Information Science and English Literature from Central China Normal University. Research interests span applied machine learning, data quality evaluation, NLP, and informatics applications in legal and healthcare domains. Notable work includes developing frameworks for measuring scientific novelty, constructing high-quality legal and biomedical datasets, and leveraging AI for precision medicine and disaster response. Chen has secured over $499K in external grants, including NSF REU and HSI projects, and $20K+ in internal grants. Their work has been published in top journals like Journal of Informetrics , IEEE Transactions on Reliability , and Scientometrics , with a strong focus on innovation measurement and data-centric AI. Teaching includes courses on computational methods, data analysis, and AI in healthcare. Professional leadership roles include chairing ASIS&T SIG-STI and editorial roles for Journal of the Association for Information Science and Technology , Knowledge and Information Systems , and others. Awards include UNT’s Great Grads Award and the Linda Schamber Writing Award.

Zhiyi Huangمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algorithmic Game Theory
• Online Algorithms
• +۳ مورد دیگر

Zhiyi Huang is an Associate Professor of Computer Science at the University of Hong Kong, leading the Computer Science Division within the School of Computing and Data Science. He holds a PhD from the University of Pennsylvania (2013) and completed a postdoctoral fellowship at Stanford University (2013–2014). His research focuses on Theoretical Computer Science, Algorithmic Game Theory, Online Algorithms, and Differential Privacy, with notable contributions to Machine Learning and Computer Networks. Education: PhD in Computer and Information Science, University of Pennsylvania (2013) Postdoctoral Researcher, Stanford University (2013–2014) Bachelor's Degree from the Yao Class at Tsinghua University (2008) Research interests span foundational areas including algorithmic game theory, online optimization, and privacy-preserving mechanisms. He has pioneered work on revenue maximization in single-parameter settings and developed novel frameworks for analyzing price of anarchy in game theory. Key Awards: Early Career Award (Research Grant Council of Hong Kong, 2014) Best Paper Award at ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2015) Morris and Dorothy Rubinoff Dissertation Award (2013) Simons Graduate Fellowship in Theoretical Computer Science (2012–2013) Recent grants include studies on algorithmic foundations of Bayesian mechanism design (HK$675,647), online primal dual techniques (HK$496,028), and privacy-preserving mechanisms (HK$931,737). His work bridges theoretical advancements with practical applications in healthcare, autonomous systems, and cybersecurity. Notable Projects: Medical predictive systems for acute cardiopulmonary events AI-driven maritime navigation using AIS data Secure federated learning frameworks with blockchain

Thor Inge Fossenمشاهده پروفایل

استاد

• Marine craft hydrodynamics
• Motion control systems
• Navigation systems
• +۷ مورد دیگر

Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.

Filipe Rodriguesمشاهده پروفایل

دانشیار

• Machine Learning
• Intelligent Transportation Systems
• Transportation Science
• +۷ مورد دیگر

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.

• Social Inequality
• Gender Studies
• Social Class
• +۳ مورد دیگر

Cristina Sanchez Miret is a Professor of Sociology at the Faculty of Economics and Business, University of Girona , where she has been a faculty member since 1995. She serves as Director of the Department of Business (2018–present), a member of the Strategic Plan Working Group UdG 2030 (2019–present), and the Gender and Diversity Coordinator at the Faculty of Economics (2020–present). Her research focuses on social inequality, gender, class, and participatory democracy. Department of Business, University of Girona IGESI Research Group (Gender and Social Inequalities) ARPA Research Group (Audiovisual Media Analysis) Her work spans gender-based violence prevention, linguistic sociology, and participatory budgeting. She collaborates with advisory councils in Catalonia and Barcelona, contributes to media outlets like El Nacional and TV3, and has led research projects such as SOL.NET and Temps Retrobat . She holds a PhD in Sociology from the Autonomous University of Barcelona (1994). Key Research Themes: Intersectionality of gender, class, and social inequality Impact of digital technologies on violence Participatory democracy and policy reform Linguistic usage patterns in Catalonia

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +۷ مورد دیگر

Shuguang Cui is the X.Q. Deng Presidential Chair Professor in the Department of Electrical and Computer Engineering at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He holds a PhD from Stanford University and has previously served on the faculties of the University of Arizona, Texas A&M University, and UC Davis. His research lies at the intersection of artificial intelligence and communication networks, particularly in AI+Networking , with major contributions in federated learning over wireless systems, intelligent reflecting surfaces, UAV trajectory optimization, and energy-efficient edge computing. His work bridges machine learning theory with practical communication system design. The recent publications reflect a strong trend toward integrating distributed AI with wireless network constraints, focusing on reducing communication overhead, optimizing resource allocation, and enhancing learning efficiency in edge environments. Key themes include federated learning convergence, hybrid VLC-RF systems, and intelligent surface-assisted communications. Award highlights include: IEEE Fellow (2013) IEEE Marconi Prize Paper Award (2023) Fellow of the Royal Society of Canada (2023) Fellow of the Canadian Academy of Engineering (2023) Multiple IEEE best paper awards (Globecom, WCNC, ICC) Thomson Reuters Highly Cited Researcher (2014) Prof. Cui has served in leadership roles such as Vice Chair of the IEEE VT Fellow Evaluation Committee, member of the IEEE ComSoc Award Committee, and currently as Editor-in-Chief of IEEE Transactions on Mobile Computing . He has secured significant research impact through high-visibility publications in top-tier journals and conferences, shaping the future of AI-driven wireless systems. He leads a research group focused on next-generation intelligent networks, supervising graduate students and collaborating across institutions. His team actively contributes to advancing the theoretical and practical foundations of AI-enabled communications.

• Music Psychology
• Musicology
• Cognitive Psychology
• +۱ مورد دیگر

Andreas C. Lehmann is a Professor of Systematic Musicology and Music Psychology whose research bridges cognitive science, performance studies, and psychological mechanisms of musical experience. While his institutional affiliation remains unspecified in the provided text, his collaborative network includes prominent researchers from the University of Hamburg, Hanover University of Music, Drama and Media, and State University of Music and Performing Arts Stuttgart. Lehmann's scholarly focus centers on empirical investigations of music's cognitive and physiological impacts, with particular emphasis on deliberate practice efficacy, neurocognitive aspects of musical training, and music-induced emotional modulation of pain perception. His methodological approach integrates meta-analytic techniques, psychophysiological measurements, and longitudinal observational studies to dissect performance science and music cognition phenomena. Analysis of his publication record reveals a consistent trajectory examining how structured musical engagement shapes human cognition and physiological responses. His work demonstrates specialized attention to gender-differentiated effects in music-induced arousal, neural adaptations from early musical specialization, and quantifiable relationships between practice intensity and achievement metrics—contributing foundational insights for evidence-based music education and therapeutic applications.

• International Security Studies
• Cybersecurity Policy
• Information Warfare
• +۴ مورد دیگر

Dr. Craig Douglas Albert is a Professor of Political Science and Graduate Director of the PhD in Intelligence, Defense, and Cybersecurity Policy and the Master of Arts in Intelligence and Security Studies at Augusta University. His work bridges academic research and real-world policy, with expertise in global security threats and digital warfare. Education: PhD in Political Science and Government, University of Connecticut (2009) Master of Arts in Political Science and Government, University of Connecticut (2003) Bachelor of Arts in Political Science and Government, Augusta State University (2001) Research Focus: Dr. Albert's work centers on the evolving landscape of international conflict, with emphasis on: Information warfare tactics and propaganda dissemination across social media platforms Geopolitical implications of artificial intelligence in military and security operations Cybersecurity policy frameworks for major powers (US, China, Russia) Ethnic conflict dynamics and political philosophy in security contexts His research consistently examines how technology transforms traditional power structures and conflict mechanisms. Publication Trends: Recent works (2022-2024) demonstrate a strong focus on AI-driven information warfare, social media manipulation, and great-power competition. Over 60% of publications analyze technological impacts on security, while 30% address propaganda mechanics. Emerging themes include TikTok's national security risks, pandemic intelligence systems, and Middle Eastern disinformation campaigns. Media & Policy Engagement: Testified before US Congress Joint Subcommittee on Foreign Affairs Regular commentator for Fox News, Forbes, CTV Canada, VOA, and international outlets Council on Foreign Relations Higher Education Ambassador Advised US Army Cyber Center of Excellence workshops on AI threats Labs & Teams: Leads research initiatives on disinformation detection and cybersecurity policy through Augusta University's intelligence programs, collaborating with military cyber units on threat analysis.

• Cybersecurity
• Wireless Communication
• Network Security
• +۷ مورد دیگر

Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.

• Economics
• Artificial Intelligence
• Innovation
• +۴ مورد دیگر

Simone Vannuccini is a Teacher-Researcher and Junior Professor in the Economics of Artificial Intelligence and Innovation at the University Côte d'Azur's School of Economics and Management. He is affiliated with the Research Group in Law, Economics, and Management (GREDEG) and the Pole Innovation, Science and Technology (PIST) under the FIT (Firms, Innovation, Territories) team. His research focuses on innovation , artificial intelligence , and industrial policy , with particular emphasis on socioeconomic impacts, technological sovereignty, and global value chains. His recent publications explore themes like robot adoption , AI governance , and strategic autonomy in the European Union . His peer-reviewed articles and conference contributions span topics including multimodal AI systems , disruptive technologies , competition law enforcement , and cyber-physical dynamics . He actively contributes to interdisciplinary research bridging economics , law , and technology studies . Simone Vannuccini participates in collaborative projects such as AI3SD (Artificial Intelligence, Autonomous Systems, and Digital Innovation) and engages in policy discussions on green transitions , budgetary autonomy , and technological multiplier effects . His work integrates theoretical frameworks from Schumpeterian economics with empirical analyses of global innovation trends.

John Paul MacDuffieمشاهده پروفایل

استاد

• Vehicle and Mobility Innovations
• Flexible/Lean Production Systems
• Collaborative Problem-Solving
• +۶ مورد دیگر

John Paul MacDuffie is a Professor of Management at the Wharton School of the University of Pennsylvania. His research spans innovative mobility systems, lean production, interorganizational trust, global automotive dynamics, and the intersection of technology and work organization. He has held leadership roles such as President of the Industry Studies Association and Co-curator of the Automotive Transformation Map at the World Economic Forum. Research Interests: Vehicle and Mobility Innovations Flexible/Lean Production Systems Collaborative Problem-Solving Diffusion of Management Practices Organizational Learning Scientific Awards: President of Industry Studies Association (2019) Excellence in Teaching Awards (University of Pennsylvania, multiple years) Outstanding Young Scholar Award (IRRA, 1997) International Professional Practice Research Award (ASTD, 1989) Teaching Activities: He teaches courses on technology and work, including MGMT2430, MGMT7430, and advanced courses on enterprise management (MGMT6110, MGMT6120, MGMT6130). His work has been featured in major media outlets like the New York Times , Wall Street Journal , and Harvard Business Review .