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Maik BoltesView profile

Researcher

• Pedestrian Dynamics
• Crowd Behavior Analysis
• Data Acquisition Systems
• +5 more

Dr. Maik Boltes serves as Head of the division Pedestrian Dynamics - Empiricism at Forschungszentrum Jülich's Institute for Advanced Simulation (IAS-7), specifically within the Civil Safety Research department. His work focuses on empirical data collection and analysis of pedestrian movement to understand and model crowd behavior. His primary research interests include the identification of parameters influencing pedestrian dynamics, acquisition of these parameters, studying sensor techniques for data capture, and analyzing collected and fused data (head movement, full body motion, pressure, identification). Boltes has developed PeTrack , an open-source tool that automatically extracts accurate pedestrian trajectories from experiments, and maintains an open data archive of pedestrian experiments. He co-publishes the diamond open access journal Collective Dynamics and serves as guest editor for the Journal of Advanced Transportation. Analysis of Boltes' publication record reveals consistent focus on pedestrian dynamics methodology, with recent work emphasizing accessibility considerations (wheelchair users, people with disabilities), technological innovations in tracking systems, and safety applications for large events. His research bridges computer vision, biomechanics, and transportation engineering to advance understanding of crowd behavior. Young scientist award (2005) from FernUniversität Hagen Best poster award (2010) from Trends in Computational Science and Engineering Foundation InnovationPlus prize (2021) from Forschungszentrum Jülich for special achievement related to innovation capability Boltes has secured significant funding as Principal Investigator for numerous projects including LoStInCrowds (2024-2027), Be FAIR to pedestrian dynamics data (2023), CroMa (2018-2022), and SiME (2016-2019). His work with the conference Traffic and Granular Flow '13 and the workshop on Collecting and Analysing Experimental Data of Pedestrian Dynamics demonstrates his leadership in establishing methodological standards for the field. As leader of the Pedestrian Dynamics - Empiricism division, Boltes oversees research on data acquisition systems, trajectory analysis, and open science infrastructure for pedestrian dynamics. His team collaborates with institutions across Germany and internationally, including recent projects with Chilean and Palestinian researchers.

Yi ShenView profile

Research Fellow

• Biomaterials
• Food Security
• Nanotechnology
• +4 more

Dr. Yi Shen is a Research Fellow at the University of Cambridge, Department of Chemistry, affiliated with the Cambridge Global Food Security research center. His work intersects food security, nanotechnology, and biomaterials research. Education : PhD in Health Science and Technology (ETH Zurich, 2017), Bachelor and two Master degrees (Wageningen University), with internships at Harvard and Princeton Universities. Research Focus : Development of organic-inorganic hybrid biomaterials for nutritional applications, including amyloid fibril-based gels with calcium nanoparticles, and biofluid manipulation in microfluidic devices for food systems. Scientific Achievements : Published 7 peer-reviewed papers (including a Nature Nanotechnology cover feature) and filed 3 patents. Awards : Recipient of The Spark Award for top innovations at ETH Zurich (2018). Contact: ys495@cam.ac.uk

Taha KhanView profile

Academic

• Usable Security and Privacy
• Cyber-crime Measurement
• Trustworthy AI
• +2 more

Taha Khan is an Associate Teaching Professor at the Information Networking Institute within Carnegie Mellon University’s College of Engineering . He brings broad expertise in usable security and privacy, cyber-crime measurement, trustworthy AI, online censorship, and computer-science pedagogy to both his research and his teaching. Education: Ph.D. in Computer Science, University of Illinois at Chicago, 2020 B.S. in Electrical Engineering, Lahore University of Management Sciences, 2013 Research Interests: Dr. Khan’s work centers on understanding and improving how real users interact with security systems. His recent projects include building learning-based tools that automatically detect and manage sensitive files in cloud storage, performing large-scale measurement of commercial VPN security and performance, and reverse-engineering mobile applications to uncover surveillance risks. He also investigates privacy management on social media and explores how cultural context shapes user responses to online censorship. Currently, he is extending this agenda into the domain of secure and effective code-debugging with large language models, while looking ahead to emerging challenges in AI-driven cyber forensics and blockchain-based verification. Teaching & Mentorship: Khan champions an active-learning philosophy, having taught courses ranging from introductory programming and hardware organization to advanced systems, security, networks, programming languages, and databases. He remains deeply committed to mentoring graduate students, guiding them toward impactful, socially relevant research.

Peter HewitsonView profile

Senior Lecturer

• Bioprocess Engineering
• Liquid-Liquid Extraction
• Counter-current Chromatography
• +4 more

Dr Peter Hewitson is a Senior Lecturer in the Department of Chemical Engineering at Brunel University of London , affiliated with the College of Engineering, Design and Physical Sciences . His research focuses on Bioprocess Engineering , Liquid-Liquid Extraction , and Counter-current Chromatography for scalable pharmaceutical and chemical separations. PhD in Process Engineering (scale-up of extraction technologies) Former Senior Research Scientist at Kodak Ltd, developing photographic media, flexible displays, and solar cells with patent filings His work spans Biorefinery applications, Protein Purification , and industrial chemical separations. Key contributions include optimizing Counter-current Chromatography throughput and column geometry. Teaching includes modules like MSc Research Dissertation and Process Design and Safety . Research Trends : Recent publications emphasize Step-Gradient Counter-Current Chromatography , Phenolic Compound Isolation , and Aqueous Two-Phase Systems for biopharma applications. He collaborates with researchers such as Dr Svetlana Ignatova and Dr ACHF Sawaya , with a focus on Natural Product Purification and Biorefinery Processes .

Fabrice MUHLENBACHView profile

Lecturer

• Artificial Intelligence
• Data Mining
• Text Mining
• +4 more

Fabrice MUHLENBACH is a Lecturer in Computer Science at Jean Monnet University of Saint-Étienne, where he has been working since September 2003. He conducts his research within the Hubert Curien Laboratory (UMR CNRS 5516), specifically as a member of the Connected Intelligence research team. His academic background is multidisciplinary, combining computer science with cognitive psychology and cognitive sciences. MUHLENBACH's research focuses on artificial intelligence, particularly in improving recommendation processes from intelligent systems. His work addresses ethical considerations in AI and explores ways to escape the "filter bubbles" commonly encountered in recommendation systems. He has developed innovative approaches to recommendation systems that consider complementary cultural forms when users become saturated with similar content. His research also investigates the potential usefulness of knowledge from scientific disciplines outside one's expertise. His publications demonstrate expertise in data mining, text mining, recommendation systems, and AI ethics. His work spans from theoretical foundations to practical applications, with notable contributions in clustering algorithms, semantic search, and health informatics. His research has practical implications, as evidenced by the industrial patent filed for a method of automatic multimedia content selection. Best Paper Award at ADMA 2017 conference Patent FR3046269 for "Method for automatic selection of multimedia content in a database" (2017) Contributions to Encyclopedia of Social Network Analysis and Mining (2014, 2017) MUHLENBACH has supervised doctoral theses in recommendation systems and data mining, and has been actively involved in teaching various computer science subjects including data analysis, machine learning, and computer ethics. His work bridges technical aspects of AI with human-centered considerations, reflecting his background in both computer science and cognitive psychology.

• Mobile Computing
• Distributed Systems
• File Systems
• +3 more

Dan Cojocar is a Lecturer in the Department of Computer Science at Babeș-Bolyai University, Cluj-Napoca, Romania. He serves as Lab Instructor for the Mobile Applications course (2024-2025) teaching third-year English-speaking students, and instructs multiple undergraduate courses including Operating Systems laboratories, Web Services and Middleware Technologies, IoT & Android Things, and Tutoriat sessions. His academic responsibilities span course development, laboratory instruction, and bachelor thesis supervision across both semesters of the academic year. Cojocar's research centers on distributed systems with emphasis on the BBUFs (Babeș-Bolyai University File System) framework, mobile computing architectures, and formal verification methods. His scholarly work explores replication strategies, synchronization mechanisms, IPv6-based lookup systems, and aspect-oriented programming for monitoring. The research demonstrates strong integration between theoretical computer science (π-Calculus modeling) and practical system implementation, particularly in Unix-based distributed environments and mobile network routing. Analysis of Cojocar's publication timeline (2006-2015) reveals progressive specialization from foundational web application development toward advanced distributed systems. Early work focused on model-driven approaches (2006) and session management (2007), evolving into BBUFs architecture (2008-2009) and sophisticated replication strategies (2011). The research trajectory shows increasing sophistication in formal methods application while maintaining practical relevance to file system design and mobile networking challenges, with later publications integrating mobile ambient concepts into network routing schemes (2015). Through his GitHub repository (dancojocar/ma), Cojocar maintains comprehensive Mobile Applications course materials used since 2016, featuring multi-language support (Kotlin 40.1%, Java 34.4%) and contemporary mobile development practices. His educational contributions include developing laboratory frameworks for Android, Flutter, and Firebase integration, with course infrastructure utilizing Microsoft Teams and GitHub for student collaboration. The repository's academic adoption (21 stars, 38 forks) demonstrates recognition of his pedagogical approach to mobile computing education.

• Animal Breeding
• Livestock Husbandry
• Animal Informatics
• +2 more

Dr. Kerstin Barth serves as a PartTime Lecturer at the University of Kiel's Institute of Animal Breeding and Husbandry, specializing in the integration of informatics with livestock management practices. Her academic work focuses on behavioral analysis within animal husbandry systems. Her research interests center on Animal Breeding methodologies , Livestock Husbandry optimization , and the application of informatics systems to agricultural settings. Dr. Barth contributes to the Behavioral Informatics in Livestock Husbandry team, working at the intersection of animal science and data analytics to improve farming practices. Dr. Barth is associated with the AniFair software project, which appears to be a tool for animal breeding management as indicated by the Documentation_AniFair.pdf and Installation_AniFair.pdf files referenced alongside her name in the institute's resource listings.

Róbert TóthView profile

Assistant Professor

• Spatial Skills
• Web Technologies
• Software Technology
• +3 more

Róbert Tóth is an Assistant Professor at the University of Debrecen's Faculty of Informatics, Department of Information Technology. His work focuses on enhancing spatial abilities through emerging technologies, including gamification and augmented reality. Contact details: toth.robert@inf.unideb.hu, Office: 2nd floor, I228 Faculty of Informatics building. Research interests include: Spatial skill assessment and training using 3D modeling and interactive tools Integration of gamification and augmented reality in educational contexts Development of open-source software frameworks for cognitive training (e.g., viskillz-blender) Analysis of transportation data (GTFS/RT) and geospatial visualization techniques Optimization of educational systems and Smart Campus services Recent publications emphasize spatial reasoning development, gamified learning environments, and efficient handling of geospatial data through Python-based tools and Blender integrations. His work bridges software engineering, educational technology, and human-computer interaction.

• Microelectromechanical Systems (MEMS)
• Radio Frequency Circuits
• Integrated Circuit Design
• +7 more

Frédéric Nabki is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. Holding a B.Ing. and Ph.D. from McGill University, he maintains an active research program focused on microelectromechanical systems, RF circuits, and integrated photonics. His work bridges fundamental research with practical applications in avionics, wireless communications, and sensing systems. Dr. Nabki's research interests span microelectromechanical systems (MEMS), radio frequency integrated circuits, sensor design, microfabrication techniques, and optical communications. His laboratory, LACIME (Communications and Microelectronic Integration Laboratory), focuses on three primary research axes: Sensors, Networks and Connectivity; Innovative materials and advanced manufacturing; and Quantum Engineering. His work encompasses analog and RF microelectronics, MEMS and MOEMS devices, microfabrication, system-on-chip design, integrated sensors and actuators, interface circuits for sensors, wireless and optical communication circuits, energy harvesting microsystems, silicon photonics, and embedded systems for avionics applications. Analysis of Dr. Nabki's recent publications reveals a strong focus on MEMS technology with applications spanning multiple domains. His work demonstrates expertise in piezoelectric MEMS devices, optical switching solutions using silicon nitride photonics, ultrasonic transducers for sensing applications, and RF front-ends for avionics. The research increasingly incorporates machine learning techniques for signal processing and fault detection, showing an interdisciplinary approach that combines hardware design with advanced algorithms. His work maintains strong ties to practical applications, particularly in aerospace, industrial monitoring, and biomedical imaging. Dr. Nabki has successfully supervised numerous graduate students through their master's and doctoral research. His supervision portfolio includes over 30 theses covering diverse topics from MEMS resonators and energy harvesters to optical switching systems and avionics RF front-ends. His research has been supported through significant funding that has enabled the filing of 48 patents, numerous peer-reviewed publications (116 journal articles), and multiple book chapters. The extensive patent portfolio demonstrates the translational nature of his research with practical commercial applications. Dr. Nabki leads the LACIME research laboratory, which focuses on the integration of communication systems with microelectronic technologies. The laboratory maintains strong collaborations with industry partners, particularly in the aerospace sector, and has developed specialized facilities for MEMS design, fabrication, and testing. Current research directions include quantum-based security for connected objects, advanced MEMS for avionics applications, and silicon photonics for optical switching solutions.

• Project Management
• Material Appearance Measurement
• 3D Imaging
• +5 more

Aditya Suneel Sole is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as a Research Coordinator Project Manager Associate Director of CIE Division 1 Conference Chair Deputy Scientific Coordinator for the MSCA Doctoral Network Aditya holds a Master of Science in Digital Colour Imaging and a PhD in Computer Science . His research focuses on Material Appearance Measurement , 3D Imaging , and Color Science , particularly in Spectral and Geometric Analysis 3D Printing Reflectance Modeling Surface Property Reconstruction Gonio-spectrophotometry Research Grant Coordination His recent publications (2022-2025) emphasize 3D Object Quality Metrics White Core Thickness in Color Reproduction BRDF Estimation Accelerated Aging of Printed Materials Multi-layer Halftoning Entropy Evaluation in Mesh Simplification with applications in Cultural Heritage, Advanced Manufacturing, and Remote Sensing. He teaches IDATG1004/IDATA1004/IDATT1004 - Team-Based Collaboration and actively participates in outreach activities, including presentations at MANER Network Colour Leeds London Imaging Meeting Euspen Conferences

• History of Psychiatry
• History of Alcoholism
• History of Confinement and Disciplinary Institutions
• +3 more

Anatole Le Bras is a Lecturer in Contemporary History at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), affiliated with the Institute of Cultural and International Studies (IECI) and the Center for the Cultural History of Contemporary Societies (CHCSC). His academic career focuses on historical intersections of psychiatry, alcoholism, and institutional frameworks. Education : Graduate of Sciences Po (2014), Agrégé in History (2015), and Doctor of History (2021). Research interests include: Social and cultural history of psychiatry (19th-20th centuries) History of alcoholism Confinement and disciplinary institutions Health-environment relationships "Climate psychiatry": climate influences on mental health Family dynamics in institutional contexts Recent publications explore alcoholism recovery movements, outpatient psychiatric care, gender roles in medical treatment, and family-asylum interactions. His work spans journals like Le Mouvement social , Genèses , and Social History of Medicine . Editorial roles include membership on the editorial board of History of Psychiatry and scientific committees for Canadian Journal of Health History and L'évolution mentale .

Wei-Ming LinView profile

Professor

• Distributed and Parallel Computing
• Computer Architecture
• Computer Networks
• +6 more

Dr. Wei-Ming Lin is a Professor in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA) , where he has been since at least 2006. He previously served as the Associate Dean for Graduate Studies in the College of Engineering at UTSA from 2006 to 2015 and played a key role in developing four new graduate programs: M.S. in Advanced Manufacturing and Enterprise Engineering, Ph.D. in Mechanical Engineering, Master in Civil Engineering, and M.S. in Advanced Materials Engineering. His research spans Distributed and Parallel Computing , Computer Architecture , Computer Networks , Autonomous Control , and Internet Security . He has published extensively on SMT Processor Optimization , Resource Management , and High-Performance Computing , often integrating Machine Learning and Neural Networks into his work. Funding for his research has come from prestigious organizations such as the National Science Foundation (NSF) , Department of Defense (DOD) , Office of Naval Research (ONR) , and Air Force Office of Scientific Research (AFOSR) . The trends in his publications highlight a focus on Simultaneous Multi-Threading (SMT) Processors , Resource Allocation , and Energy Efficiency in computing systems. His work includes innovative approaches to Instruction Dispatching , Issue Queue Management , and Hashing Techniques for network applications. Dr. Lin has been involved in program committees for major international conferences and served as Program Chair for the International Conference on Computer Applications in Industry and Engineering (2004) . While no specific scientific awards are mentioned in the provided text, his extensive grant funding and leadership roles underscore his impact in the field.

Kyong Eun OhView profile

Professor

• Human Information Behavior
• Personal Information Management
• Information Organization
• +3 more

Kyong Eun Oh is a Professor and Director of the PhD Program at Simmons University's School of Library and Information Science (SLIS), where she has served since Fall 2013. Her leadership spans academic administration, research innovation, and professional service in library and information science. Her educational credentials include: PhD in Communication and Information from Rutgers University MA in Library and Information Science from Yonsei University BA in English Language and Literature & Library and Information Science from Yonsei University Professor Oh's research examines how individuals interact with information in daily contexts, focusing on behavioral patterns in digital environments. She investigates societal and technological influences on information practices through projects like cloud-based collaborative file management (funded by the Alfred P. Sloan Foundation) and mobile information behavior. Her work bridges theoretical frameworks with practical applications in metadata, information visualization, and organizational systems. Her scientific recognition includes: Distinguished Member of ASIS&T ALISE/Eugene Garfield Dissertation Award 2025 ASIS&T Outstanding Information Science Teacher Award As PhD Program Director and doctoral course instructor, she mentors emerging scholars while leading the Simmons ASIS&T Student Chapter to twelve 'Student Chapter of the Year' awards (including three consecutive wins through 2022). Her grant portfolio features the Sloan Foundation project on collaborative research information management. Professional service includes DCMI Governing Board membership, editorial roles at Frontiers in Research Metrics and Analytics, and leadership of major conferences including DCMI 2023 as Program Chair. She actively shapes metadata standards through Dublin Core initiatives and contributes to evidence-based practices in academic libraries through committee leadership for ALISE awards and conference tracks.

• Decentralized Systems
• Distributed Systems
• Blockchain
• +3 more

Pierluca Borsò-Tan serves as a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with both the Institute of Computer Systems and Networks (IC-SIN) for teaching duties and the Decentralized and Distributed Systems Laboratory (DEDIS) within the Institute of Computer Science for research activities. His research focuses on decentralized architectures, with expertise spanning blockchain implementation, secure peer-to-peer networking, distributed consensus mechanisms, and resilient file-sharing systems. He leads the course "Decentralized systems engineering," guiding students through hands-on development of messaging protocols, blockchain applications, and distributed security frameworks. Based at EPFL's BC Building (Room BC 209) in Lausanne, Switzerland, he maintains active roles in both academic instruction and laboratory research, with contact available via pierluca.borso@epfl.ch or +41 21 693 87 82.

William WeadockView profile

Clinical Professor

• Radiology
• Medical Imaging
• 3D Printing
• +5 more

William Weadock, MD, is a Clinical Professor in the Department of Radiology at the University of Michigan Medical School. He specializes in abdominal and pelvic imaging (CT, MRI, ultrasound) and has pioneered the use of 3D medical printing in radiology. A leader in the RSNA Informatics Committee and 3D Printing Special Interest Group , he has developed educational courses and optimized imaging workflows for over two decades. Education: MD from University of Michigan Medical School (1992), Radiology residency at University of Minnesota (1997), Body Imaging fellowship at University of Michigan Health System (1998). Clinical Interests: Abdominal/pelvic CT/MRI/US, 3D analysis, vascular imaging, and endovascular device evaluation. Research Trends: His work bridges 3D printing and medical imaging , focusing on surgical planning, education, and workflow optimization. Recent publications highlight 3D models for complex surgeries, data privacy in radiology presentations, and ergonomics in radiology practice. He also explores MRI artifacts in iron-related pathologies and interventional radiology training phantoms. Scientific Awards Fellowship, American College of Radiology Lifetime Achievement Award, American Board of Radiology Leadership Roles: Director of the Department of Radiology’s Media Services division , which enhances educational materials with professional standards. He has also led initiatives to optimize PACS systems and structured reporting in radiology.