جست‌وجوی استاد و پژوهشگر

• Legal History
• Criminal Justice History
• French Revolution
• +۷ مورد دیگر

Emmanuel Berger is an Invited Assistant Professor in the Department of History at ISCTE – Instituto Universitário de Lisboa and an Integrated Researcher at CIES-Iscte, specializing in legal and criminal justice history during the revolutionary and Napoleonic eras. He is affiliated with the research group Historical Dynamics and Global Integration of the World . Education: PhD in History, Catholic University of Louvain (Belgium, 2006) Master’s in History, Université Paris 1 Panthéon-Sorbonne (France, 2003) Master’s in History, Catholic University of Louvain (Belgium, 2003) Master’s in Cultural Management, Université Libre de Bruxelles (Belgium, 2001) Master’s in History, Université Libre de Bruxelles (Belgium, 2000) Research Interests: Berger's work centers on the evolution of judicial institutions, particularly popular justice, juries, policing, and transnational criminal cooperation. His research spans the late 18th to early 20th centuries, with a strong emphasis on France, Belgium, and transnational European dynamics. He investigates how revolutionary ideals reshaped legal systems, especially regarding citizenship, due process, and state control. Recent Publications Trends: His recent articles (2021–2024) reveal a sustained focus on the transformation of justice during the French Revolution, including jury composition, preventive detention, extradition, and the integration of marginalized groups like Jews into legal citizenship. He frequently contributes to edited volumes and presents at major international conferences, often engaging with comparative and transnational frameworks. Scientific Engagement: Berger is actively involved in academic service, including editorial roles and organizing international symposia. He has co-edited special journal issues and books on popular policing and justice in transitional periods. Professional Activities: Member, Digithemis (Digital History of Justice) Member, In#C (International Research Network on Confinement) Member, Research Group on the History of War (since 2025) Member, Criminal Justice Network, ESSH Conference (since 2023) Fellow, NIAS Fellows Association (since 2018) He has organized and co-organized numerous international events, including symposia on popular policing, justice in transitional periods, and police cooperation in the Atlantic world. His editorial work includes guest editing special issues on topics such as police and public order, and popular protest.

Javier Bueno Lemaمشاهده پروفایل

استاد

• Agricultural Engineering
• Precision Agriculture
• Dairy Farm Management
• +۳ مورد دیگر

Javier Bueno Lema is a Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Agroforestry Engineering under the Higher Polytechnic School of Engineering. He is part of the Strategic Grouping in Sustainable Management and Production of Bioresources (BioReDes) and the BioMODEM research group focusing on biosystem modeling and mechanization. He holds a PhD from the Polytechnic University of Madrid (1997) with a thesis on no-till maize cultivation. His work emphasizes agricultural mechanization, dairy farm automation, and logistics optimization in farming systems. Research interests include robotic milking systems, automated machinery effectiveness, crop harvest modeling, and sustainable organic fertilizer distribution. Recent studies focus on AMS adoption in Galician dairy farms, mastitis detection systems, and discrete-event simulation for cost reduction. Publications span topics like forage corn harvest optimization, potato cultivation mechanization, and typologies of farms using automated systems. He contributes to rural development through teaching and applied research in agroengineering.

Bart De Schutterمشاهده پروفایل

استاد

• Model Predictive Control
• Hybrid Systems
• Multi-Agent Systems
• +۱۳ مورد دیگر

Bart De Schutter is a Full Professor and Head of the Delft Center for Systems and Control (DCSC) at Delft University of Technology , The Netherlands. He leads a research group focused on advanced control methodologies with applications in transportation, energy, and environmental systems. His research interests span model predictive control (MPC) , hybrid and piecewise-affine systems , multi-agent and distributed control , reinforcement learning , and discrete event systems with applications in intelligent transportation, smart grids, and underwater robotics. His work integrates model-based and data-driven approaches to enable robust, scalable, and intelligent control of large-scale networks. His recent publications reflect a strong trend toward integrating learning with formal control methods, ensuring safety and performance in complex hybrid systems. Research themes include learning-based MPC, scenario reduction for stochastic control, stability analysis of max-plus systems, and applications in railway scheduling and marine monitoring. Notable scientific awards include: ERC Advanced Grant (CLariNet, 2021–2026) Richard C. DiPrima Prize for PhD thesis Robert Stock Prize for PhD theses in Exact Sciences VIDI grant from STW IEEE Fellow IFAC Fellow Bart De Schutter has coordinated major EU projects such as HD-MPC , SeaClear , and SeaClear2.0 , demonstrating leadership in both theoretical innovation and real-world applications. He serves as a senior editor for IEEE Transactions on Intelligent Transportation Systems and associate editor for IEEE Transactions on Automatic Control . He leads a research team working on next-generation control solutions for autonomous systems and infrastructure, with ongoing projects in intelligent traffic control, smart energy systems, and underwater robotics. The group actively recruits PhD and postdoctoral researchers, indicating a vibrant and expanding lab environment.

Pau Fonseca Casasمشاهده پروفایل

استاد

• Simulation
• Modeling and Analysis
• Operations Research
• +۴ مورد دیگر

Pau Fonseca Casas is a Professor at the Universitat Politècnica de Catalunya (UPC) in the Department of Statistics and Operations Research, affiliated with the Barcelona Informatics School (FIB). His research focuses on simulation modeling, digital twins, optimization algorithms, and their applications in urban mobility, healthcare systems, and education. He leads the IMP (Information Modeling and Processing) research group and collaborates with the inLab FIB (part of the TECNIO Network and CIT UPC). He holds a doctorate from UPC and has over 242 scholarly activities including articles, projects, and awards. Notable contributions include pandemic modeling using digital twins, bike-sharing system optimization, and educational innovations leveraging computational thinking and Industry 4.0 principles. Fonseca Casas has received awards like the UPC's 14th Research Valorization Prize and has served on committees for major simulation conferences like Annual Modeling and Simulation Conference. His work spans interdisciplinary collaborations in sustainability, healthcare, and technology, with ongoing projects on wastewater surveillance networks and smart urban management. He actively publishes in journals like Sustainability , Logistics , and Advanced Theory and Simulations , emphasizing practical solutions for complex systems through rigorous validation processes.

Sangjin Hongمشاهده پروفایل

استاد

• Low-power VLSI Design
• Wireless Communication
• Digital Signal Processing
• +۲ مورد دیگر

Roles and Affiliations: Sangjin Hong is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University (SUNY). He holds a Ph.D. from the University of Michigan and has prior industry experience at Ford Aerospace, Samsung, and as a research fellow at the University of Michigan. Education: B.S. and M.S. in Electrical Engineering and Computer Science, University of California, Berkeley Ph.D. in Electrical Engineering and Computer Science, University of Michigan, Ann Arbor Research Interests: Focuses on low-power VLSI design for multimedia and wireless communication systems, SOC design methodology, digital signal processing architectures, and hardware-aware system modeling. His work integrates algorithmic innovation with hardware optimization for real-world applications like surveillance, healthcare, and network systems. Teaching: Teaches core courses such as Discrete Mathematics for Engineers (ESE 122) , Digital Signal Processing Architectures (ESE 375) , and System Specification and Modeling (ESE 356/501) . Courses emphasize hands-on projects and SystemC-based system design. Awards and Affiliations: Senior Member of IEEE Member of Eta Kappa Nu and Tau Beta Pi Honor Societies Key Research Themes: Recent articles highlight work in real-time biomedical imaging, machine learning for education, and multi-sensor collaboration in surveillance systems. His publications span over two decades, reflecting expertise in both theoretical and applied aspects of signal processing and system design.

Andrei Gagarinمشاهده پروفایل

مدرس ارشد

• Combinatorics
• Graph Theory
• Optimisation
• +۹ مورد دیگر

Dr. Andrei Gagarin is a Senior Lecturer in the School of Mathematics at Cardiff University, Wales, United Kingdom. His academic career spans multiple institutions across Canada, France, and the UK, with research expertise spanning combinatorics, graph theory, and operational research. He serves as Year Abroad Coordinator (since 2022), British Combinatorial Committee representative (since 2018), and co-organizer of the Discrete Mathematics and Data Science Research Team (since 2016). Dr. Gagarin earned his PhD in Computer Science from the University of Manitoba (2003), MSc in Operational Research, Combinatorics, and Optimisation from National Polytechnic Institute of Grenoble and Joseph Fourier University (1996), and MSc in Mathematics from Belarusian State University (1994). His research focuses on combinatorial optimization, graph theory, and their applications to real-world problems. Dr. Gagarin's work bridges theoretical mathematics with practical applications in transportation networks, information security, and data analysis. His research interests include: Combinatorics and Graph Theory Optimization and Algorithm Design Network Analysis and Operational Research Access Control and Information Security Data Analysis and Mining Biomedical Research Applications Dr. Gagarin's publication record demonstrates a strong trajectory in applying graph theory to solve complex problems in transportation networks, particularly for electric vehicle infrastructure, as well as in workflow satisfiability and information security. His recent work shows increasing interdisciplinary collaboration, connecting mathematical theory with urban planning, sustainable transportation, and decision support systems. Dr. Gagarin is actively involved in academic service, serving on the British Combinatorial Committee and as an editor for Utilitas Mathematica. He has organized significant academic events including the 31st British Combinatorial Conference (2026) as principal organizer. As an educator, Dr. Gagarin supervises multiple PhD students including Lukas Dijkstra and Lucy Maybury, and teaches courses such as Graph Theory and Algorithms, Foundations of Operational Research & Analytics, and Further Operational Research. He has received recognition as a Fellow of the Higher Education Academy (FHEA, since 2018). Dr. Gagarin is a member of several research groups including the Discrete Mathematics and Data Science Team, Operational Research group, Sustainable Transport Interdisciplinary Doctoral Training Hub, and Electric Vehicle Centre of Excellence. His current research projects include DECIDE (Decoding Cities for Informed Decision Making) with WSA and combinatorial models for optimizing placement of refueling stations for alternative fuel vehicles.

• Criminology
• Social Work
• Transgender Studies
• +۷ مورد دیگر

Sarah Connelly is a Lecturer in Criminology at the University of Sunderland 's Faculty of Education and Society . Her research focuses on transgender and non-binary detainee experiences in UK custody, intersecting gender and age analysis, and appropriate adult roles in criminal justice. She collaborates on projects evaluating the Northumbria Local Appropriate Adult Scheme and explores student success through collaborative partnerships. Her work addresses critical areas such as human rights for transgender populations, vulnerability in police custody , and economic inclusion of working-class students. She actively participates in criminology conferences and institutional research events. Scientific Awards : None listed. Her research outputs highlight policy grey areas and advocate for trauma-informed practices in justice and education systems.

• Data Visualization
• Computational Biology
• Tumor Modeling
• +۳ مورد دیگر

Rafał Wcisło serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His academic profile combines teaching responsibilities with active research in computational methods for data visualization and biomedical simulation, contributing to the university's reputation in computer science and interdisciplinary applications. Dr. Wcisło's research centers on innovative approaches to visualizing high-dimensional data and modeling complex biological systems. He has pioneered GPU-accelerated techniques for embedding large datasets and developed the Particle Automata Model (PAM) for simulating tumor dynamics and pathogen expansion. His work in medical applications extends to stroke rehabilitation, where he has designed multimedia holistic methods for patient recovery. These diverse interests reflect a commitment to solving real-world problems through computational innovation. Analysis of his publication record from 2012-2020 reveals a consistent focus on efficiency and interactivity in visualization tools, with a strong emphasis on GPU parallelism. His research trajectory shows increasing integration of computational biology, particularly in oncology, where his models address tumor progression under anti-tumor treatments. The recurring theme across his work is the development of robust, scalable methods that balance computational demands with practical utility in medical and scientific contexts.

• Formal Methods
• Concurrent Systems
• Real-Time Systems
• +۷ مورد دیگر

Professor Marcin Szpyrka is a faculty member at AGH University of Science and Technology in Kraków, Poland, where he works in the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. He holds the position of Professor and maintains an office in building C-2, room 321. His academic work spans formal methods, concurrent systems modeling, and data mining applications. Professor Szpyrka's primary research interests focus on formal methods including the Alvis modeling language, Petri nets, and process algebras. He specializes in the modeling and verification of concurrent and real-time systems , with applications spanning industrial processes, automotive diagnostics, and cybersecurity. His work bridges theoretical computer science with practical engineering applications, particularly in embedded systems and data analysis. Analysis of Professor Szpyrka's recent publications reveals a clear research trajectory focusing on formal verification techniques applied to increasingly complex systems. His work has evolved from foundational research on the Alvis language to practical applications in automotive systems, industrial processes, and cybersecurity. The publications demonstrate consistent expertise in modeling concurrent systems while expanding into data mining and machine learning applications for anomaly detection and system diagnostics. Rector's Finance Committee Disciplinary Council for Technical Information Technology and Telecommunications Disciplinary Appeals Committee for Doctoral Students Supervised 9 PhD dissertations between 2009-2024 Developed academic resources including the aghdpl LaTeX class for thesis preparation Mentored students working on formal methods, concurrent systems, and data mining applications Professor Szpyrka leads the Formal Methods research group with projects hosted at fm.kis.agh.edu.pl, focusing on the development and application of the Alvis modeling language for system verification.

Mengchu Zhouمشاهده پروفایل

استاد

• Petri Nets
• Automation
• Internet of Things
• +۴ مورد دیگر

Mengchu Zhou is a Distinguished Professor at the New Jersey Institute of Technology within the Department of Electrical and Computer Engineering. With over 1200 publications, 31 patents, and numerous accolades, he is a leading figure in automation and intelligent systems. Education : Ph.D. from Rensselaer Polytechnic Institute (1990) Research Interests : Zhou specializes in Petri nets , automation , Internet of Things , and big data . His work focuses on modeling complex systems and optimizing industrial processes. Recent publications highlight advancements in scheduling algorithms, robotic grasp stability, and network throughput. Scientific Awards : Fellow, IEEE Fellow, IFAC Fellow, AAAS Fellow, CAA Fellow, NAI Collaborations : Zhou has collaborated with researchers across institutions, including Nanyang Technological University and The University of Hong Kong. He maintains an active network with 878 co-authors and over 1200 publications.

Michael Martinمشاهده پروفایل

استاد

• Semantic Web Technologies
• Data Science
• Linked Data Management
• +۴ مورد دیگر

Prof. Dr. Michael Martin serves as Professor for Data Management Systems at TU Chemnitz, where he heads the Emergent Semantics research group as part of the AKSW network. His academic work bridges theoretical research and practical applications of semantic technologies, with strong connections to both TU Chemnitz and the University of Leipzig where he teaches courses in E-Business, Software Engineering and Software Management. Michael Martin's research focuses on Engineering of Web Applications using Semantic Web Technologies, Data Science, and Management of Linked (Open) Data. His work explores how semantic technologies transform traditional web applications into data-driven systems, with particular emphasis on knowledge graph engineering, LLM-assisted semantic technologies, and industrial applications in sectors like steel and copper production. Recent work demonstrates growing interest in applying these technologies to crisis management and resilience research. His publication record shows a clear evolution from foundational semantic web technologies toward integrating large language models with knowledge graphs. Current research trends include developing benchmarks for LLM capabilities in knowledge graph engineering (LLM-KG-Bench), creating ontology-based digital representations for industrial processes (KupferDigital, StahlDigital), and building practical tools for geo-spatial data integration with semantic technologies. These works demonstrate increasing sophistication in applying semantic technologies to real-world industrial challenges. Michael Martin leads significant research projects including LEDS (Linked Enterprise Data Services funded by BmBF), SlideWiki (EU-funded), and previously contributed to major initiatives like LOD2, LATC, OntoWiki, and the Digital Agenda Scoreboard of the European Commission. His work demonstrates strong grant acquisition capabilities across both national and European funding programs, with clear translational impact from academic research to practical applications. As head of the Emergent Semantics research group within the AKSW network, Martin leads a team focused on practical applications of semantic technologies. The group develops tools like OntoWiki for semantic web application development and participates in creating knowledge graph platforms for industrial applications and crisis management, demonstrating strong industry-academia collaboration and real-world impact of semantic technologies.

• Administrative Law
• European Law
• Migration Law
• +۳ مورد دیگر

Imke Smits is an Assistant Professor at Utrecht University's Faculty of Law, Economics and Governance , affiliated with the Department of Constitutional Law, Administrative Law and Legal Theory. Her work focuses on the Europeanization of immigration law as a subfield of general administrative law. Research Interests : Smits investigates how EU-level migration policies reshape national administrative law frameworks, particularly through the analysis of Dutch migration law reforms. Her research bridges comparative law, regulatory theory, and institutional analysis. Collaborations : She participates in academic events like the 28th Ius Commune Conference and contributes to the RENFORCE research group on Administrative Law Regulation and Enforcement.

Michel Reniersمشاهده پروفایل

دانشیار

• Model-Based Systems Engineering
• Supervisory Control
• Cyber-Physical Systems
• +۳ مورد دیگر

Michel Reniers is an Associate Professor at the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on model-based engineering of supervisory controllers, synthesis of supervisory controllers for modal logics, cyber-physical systems, and development of modeling languages like CIF. MSc in Computer Science (TU/e, 1994) PhD in Computer Science (TU/e, 1999) His work emphasizes formal methods in supervisory control for high-tech and embedded systems, with applications in manufacturing, automotive systems, waterway locks, tunnel installations, robotics, and autonomous systems. The research aims to ensure safety and performance guarantees for cyber-physical systems through automated synthesis tools. Key publications highlight advancements in controller synthesis for non-deterministic systems, Hennessy-Milner logic, and embeddings between state-based and event-based systems. These contributions bridge concurrency theory and practical supervisory control implementations. Scientific Awards IEEE Senior Member

Marco Gambardellaمشاهده پروفایل

استاد

• Criminal Law
• Economic Criminal Law
• Corporate Criminal Liability
• +۵ مورد دیگر

Marco Gambardella serves as Full Professor of Criminal Law at Sapienza University of Rome's Faculty of Law, where he teaches Criminal Law I (M-Z) and Economic Criminal Law. Since November 2022, he has held the position of President of the Law School (Corso di studio in Giurisprudenza). His institutional roles extend to the Department of Legal and Economic Studies, where he maintains active teaching and research responsibilities. Professor Gambardella's research focuses on criminal law theory, with particular emphasis on economic crimes, corporate criminal liability, and legal reforms concerning abuse of office and corruption. His scholarly work demonstrates sophisticated analysis of temporal dimensions in criminal law, intertemporal relationships between legal norms, and the evolving landscape of economic criminality. His recent publications (2023-2025) show a consistent pattern of addressing contemporary legal challenges, especially regarding corporate liability frameworks, abuse of office reforms, and drug-related offenses. His academic leadership extends beyond teaching, as he coordinates the criminal law module for the Anti-Corruption Master's program and serves as faculty for the "Lobbying & Advocacy" Master's program. Professor Gambardella also contributes to legal practice as a licensed attorney since 1996 and as a member of the special list of university professor lawyers since 2009. Coordinator of the journal Cassazione penale (Giuffrè) Member of scientific committees for Sistema penale, Discrimen, Lexambiente, Giurisprudenza penale, and Penale Diritto e Procedura Member of oversight bodies for Treccani Reti S.p.a. and Kairos Società Cooperativa Sociale Onlus Regular contributor to ministerial commissions and parliamentary hearings on criminal law reforms His extensive scholarly output includes over 100 publications in specialized Italian and international journals, along with numerous monographs addressing fundamental aspects of criminal law. Professor Gambardella frequently presents at national and international conferences and has served as faculty at the Higher School of Magistracy for ordinary judges.

• Wireless Mesh Networks
• Ant Colony Optimization
• Bio-Inspired Routing Algorithms
• +۳ مورد دیگر

Laurent Paquereau is a Consultant Lecturer in the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU). Since 2017, he has served as an academic advisor for programs such as MTKOM, MSTCNNS, and MSSECCLO, focusing on quality assurance, course planning, and student exchanges. Research Focus: Bio-inspired routing algorithms for wireless mesh networks, including ant colony optimization, opportunistic routing, and cross-entropy methods. Education: MEng in Telecommunications, Services, and Uses from INSA Lyon, France (2005). His work emphasizes network simulation tools like NS-2 and NS-3, with a focus on ensuring fast adaptation and reliability in multi-hop wireless networks. While no formal scientific awards are documented, his contributions include key publications in journals and conferences such as Springer, IEEE, and ACM.