جستجوی استاد راهنمای دانشگاهی

A. Bozzon is a Full Professor at Delft University of Technology, affiliated with the Department of Web Information Systems under the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on Human-Centered Artificial Intelligence (HCAI), emphasizing ethical AI, human-AI interaction, and societal implications. He has authored over 240 publications and secured 8 notable awards, including Best Paper Awards at CHI 2023 and 2025. Affiliations : Delft University of Technology Research Interests : AI ethics, human-AI collaboration, algorithmic fairness, and sustainable design. His work bridges technical innovation with social impact, addressing topics like mental health diagnostic tools, automation adoption in organizations, and greenspace accessibility. Key contributions include datasets on adverse drug reactions and AI-driven urban analysis. Collaborations span global institutions, reflecting his interdisciplinary approach. Awards : Best Paper Award at CHI 2023 Best Paper Award at CHI 2025 CTwalk Map: Best Demo Award (2024) Supervised 14 academic works, fostering next-generation researchers in HCAI. Active in policy discussions around AI governance and has pioneered tools like Amalur for FAIR data integration.

• Artificial Intelligence
• Human-Computer Interaction
• AI Ethics
• +۳ مورد دیگر

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +۵ مورد دیگر

Eva García López is a Professor in the Department of Computer Science at the University of Alcalá. She holds a PhD from the same institution, completing her thesis on improving the usability of interfaces for teaching objects in m-learning in 2013. Her research focuses on usability engineering, artificial intelligence, and educational technology, with emphases on mobile applications, accessibility, and gamification. She is affiliated with the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to TIFyC (Information Technologies for Training and Knowledge) and PMI (Intelligent Mobile Platforms). Eva’s work spans developing adaptive learning systems, enhancing digital content accessibility, and leveraging large language models for educational tools. Her projects include MOOC development, social gamification experiments, and usability evaluations of mobile instant messaging apps. She has also explored the impact of olfactory stimuli on user performance and the application of NLP in automated question generation. Her contributions include guidelines for accessible digital content creation and frameworks for personalized learning paths in web engineering curricula. Her research integrates interdisciplinary approaches, combining machine learning, human-computer interaction, and educational theory to address challenges in digital learning ecosystems. Notable contributions include frameworks for curriculum development, methodologies for usability evaluation, and tools for automated code vulnerability repair.

• Artificial Intelligence
• Educational Technology
• Mobile Applications
• +۳ مورد دیگر

Shovonlal Roy is an Associate Professor at the University of Reading, School of Archaeology, Geography and Environmental Science (SAGES), where he leads the Marine Ecosystem Science Research Group (MarES) and serves as Research Division Leader for Environmental Science. He teaches Quantitative Analysis of Data in Environmental Science and Ecosystems Modelling at both undergraduate and postgraduate levels, and supervises numerous PhD and postgraduate students. His research spans satellite remote sensing, ecological and biogeochemical modelling, and eco-evolutionary dynamics, with applications to marine ecosystems, fisheries, phytoplankton biodiversity, and climate change. He has secured major funding from the European Space Agency, NERC, Royal Society, and other international bodies. Recent publications highlight trends in phytoplankton size structure, marine carbon cycling, fish population dynamics, and evolutionary ecology, using advanced remote sensing and individual-based modelling techniques. His work integrates satellite data with ecological theory to address pressing environmental challenges. Fellow of the UK Higher Education Academy Associate Editor, Frontiers in Ecology and Evolution (2022–present) Associate Editor, Remote Sensing in Earth Systems Sciences (2016–present) Associate Editor, Remote Sensing for Ecology and Conservation (2014–2017) Review Editor, Frontiers in Marine Science (2014–present) Visiting Professor, Kasetsart University (2025–2026) Visiting Professor, University of Philippines Visayas (2025–2026) Shovonlal Roy has supervised numerous PhD students on topics including climate change impacts on algal blooms, ocean biogeochemistry, fish population modelling, and remote sensing applications. He has been Principal or Co-Investigator on grants from ESA, NERC, Royal Society, and industry partners, focusing on marine ecosystem monitoring, carbon cycling, and sustainable fisheries. His work involves extensive international collaboration with institutes in Thailand, the Philippines, Canada, Austria, and the USA. He is actively involved in research networks including the Scientific Committee for Mathematical Models in Ecology and Evolution (MMEE), GEO-BON, and GEO Blue Planet, contributing to global efforts in ecosystem observation and modelling.

• Satellite Remote Sensing
• Bio-optical Modelling
• Marine Ecosystem Science
• +۱۰ مورد دیگر

Kang Shin is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. His research spans multiple domains in computer science and engineering, focusing particularly on automotive security, wireless communications, and distributed systems.

• Networking
• Operating Systems
• Distributed Systems
• +۶ مورد دیگر

Zahid Islam is a Professor of Computer Science and Associate Dean (Research) at Charles Sturt University's Faculty of Business, Justice and Behavioural Sciences (FoBJBS). He leads the Data Science and Engineering Research Unit (DSERU) and the Cyber Security CRC initiatives. His research focuses on Data Mining, Cyber Security, Privacy-Preserving Techniques, and Machine Learning applications in real-world domains such as healthcare and agriculture. Key roles include: Associate Dean (Research), FoBJBS (since 2023) Director, DSERU (2019–2023) Theme Lead & Academic Lead, Cyber Security CRC (2021–2023) Research interests span: Data Mining: Classification, Clustering, Federated Learning, Missing Value Analysis Cyber Security: Malware Detection, Adversarial Attacks, IoT Security Applications: Healthcare, Agriculture, Smart Farming, Supply Chain Recent work includes developing frameworks for ransomware detection (RADAR dataset), collaborative learning in healthcare (CL3), and privacy-preserving techniques like UD-LDP. His cyber security research has earned the 2021 Cyber Security Researcher of the Year Award (AISA). Key grants include: $5M+ external funding for cybersecurity projects AI for Mental Health Support (2025) Adaptive Federated Learning Grant (2024) Labs/Groups: Data Mining Research Group (DaMRG), Machine Vision and Digital Health (MaViDH), Cyber Security Research Group (CSRG)

• Data Mining
• Cyber Security
• Machine Learning
• +۸ مورد دیگر

Badis Hammi is an Assistant Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on IoT security, blockchain applications, botnet detection, and vehicular networks. He has authored numerous peer-reviewed articles on topics such as malware analysis, phishing detection frameworks, and decentralized security solutions in smart homes and healthcare sectors. Education PhD in Cryptography and Security (2015), Université de Technologie de Troyes Research Interests Cybersecurity frameworks for IoT and blockchain systems Malware detection methodologies PKI security in cooperative intelligent transportation systems (C-ITS) Phishing prevention using graph neural networks Botnet activity analysis in cloud environments Recent Article Trends His recent work emphasizes blockchain's role in mitigating supply chain fraud, improving smart home security, and securing vehicular communications. He also explores machine learning approaches for detecting Sybil attacks and network anomalies in distributed systems. Grants & Advising Active in collaborative projects with industry partners on vehicular network security Advises on EU-funded initiatives for blockchain-based authentication systems Labs/Teams Affiliated with the SAMOVAR research lab at Telecom SudParis, focusing on network and system security.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technology
• +۵ مورد دیگر

Stéphane MAAG is a Professor at Telecom SudParis, associated with the SAMOVAR research laboratory. His work focuses on formal methods for protocol validation, network security, and distributed systems monitoring. He has contributed to advancing testing methodologies for mobile ad-hoc networks (MANETs), IoT protocols, and wireless communication systems. His research integrates machine learning techniques for automation and has been applied to web testing frameworks and ERP systems. Key research areas include protocol performance evaluation, trust management in networks, and curriculum design for computer science ethics. His work spans both academic surveys (e.g., European ethics education studies) and technical innovations (e.g., proactive interoperability solutions for wireless routing). Publications emphasize practical applications of formal methods, with over 50 peer-reviewed articles in journals like International Journal of Ethics Education , Computer Communications , and IEEE Transactions . His work bridges theoretical foundations with real-world systems like ODOO ERP and SIP protocols.

• Network Protocol Validation
• Formal Methods in Software Engineering
• Mobile and Wireless Networks (MANETs/IoT)
• +۳ مورد دیگر

Chantal Taconet is a Lecturer at Telecom SudParis, part of the SAMOVAR research institute. Her work focuses on middleware systems for the Internet of Things (IoT), context-aware computing, energy efficiency, and blockchain applications in supply chains. She has co-authored over 20 peer-reviewed articles and conference papers since 2008, addressing IoT middleware design, QoC management, and middleware for cloud-IoT integration. Her research spans IoT middleware architectures (e.g., IoTVar framework), energy-efficient IoT protocols, and blockchain-based supply chain traceability. She contributed to the ANR INCOME project on multi-scale context management, emphasizing model-driven engineering and distributed system frameworks. Taconet has organized workshops like M4IoT and co-edited special issues on IoT middleware in Annals of Telecommunications . Key technical areas include semantic-based discovery services, fog computing integration for sensor networks, and trust models for IoT systems. Her work bridges theoretical middleware design with practical implementations for IoT applications.

• Internet of Things (IoT)
• Middleware Systems
• Context-Aware Computing
• +۳ مورد دیگر

Sandro Sozzo is an Associate Professor of Logic and Philosophy of Science at the University of Udine, where he has been a faculty member since 2022. He previously served as a lecturer (2013) and associate professor (2015) at the University of Leicester, UK. He holds a PhD in Physics from the University of Salento (2006) and completed postdoctoral training at the Free University of Brussels (VUB). His academic affiliations include the Centre for Quantum Social and Cognitive Science (CQSCS), which he founded and directs, and leadership roles in the International Quantum Structures Association (IQSA) and the journal Foundations of Science. His research centers on the logical and epistemological foundations of natural and cognitive sciences, employing analytic philosophy to develop novel theoretical frameworks. He has pioneered a quantum-theoretic approach to modeling human cognition, explaining cognitive fallacies and probabilistic judgment under uncertainty. This work extends to applications in information retrieval and natural language processing, forming the basis of interdisciplinary projects like QUARTZ. The most recent articles reflect a consistent trajectory in quantum cognition, decision theory, and foundational physics. They demonstrate a deep integration of quantum structures into cognitive modeling, with recurring themes in Hilbert space representations, non-classical probability, and conceptual dynamics. His publications span high-impact journals in physics, cognitive science, and philosophy, indicating a strong interdisciplinary footprint. Awards for teaching quality (2016, 2018, 2020, 2022) Member of the Higher Education Academy (HEA) since 2015 Sandro Sozzo has supervised numerous research initiatives and students through the Centre for Quantum Social and Cognitive Science (CQSCS). He was the scientific leader of the Marie Curie Innovative Training Network 'QUARTZ', securing significant international funding. He has also held leadership roles as director for teaching, research, and internationalization. His editorial work as managing editor of Foundations of Science and organizational role in five international conferences further underscore his academic influence. He founded and currently directs the Centre for Quantum Social and Cognitive Science (CQSCS), an interdisciplinary research center focused on the epistemological foundations of natural and cognitive sciences. The center fosters collaborations across physics, philosophy, cognitive science, and computer science, supporting projects like QUARTZ and promoting quantum-inspired approaches to information systems and human reasoning.

• Logic and Philosophy of Science
• Quantum Foundations
• Cognitive Science
• +۱۲ مورد دیگر

Lukasz (Luke) Ziarek serves as Associate Dean for Academic Affairs and Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His work bridges theoretical computer science with practical systems engineering, focusing on real-time capabilities in distributed environments and safety-critical applications. His educational foundation includes a PhD in Computer Science from Purdue University (2011) and a BS in Computer Science from the University of Chicago (2003). Ziarek's research centers on formal verification of distributed protocols , real-time systems engineering , and mobile/embedded computing . He pioneers session type theory for IoT security, develops real-time variants of Android (RTDroid) and Standard ML (RTML), and investigates UAV software reliability. His work consistently addresses the tension between theoretical guarantees and practical system constraints in concurrency, timing, and security. Recent publications (2022-2025) reveal three dominant trajectories: formal methods for rate-based session types in IoT protocols, performance analysis of visual SLAM systems for robotics, and security vulnerabilities in embedded platforms like ARM TrustZone. These threads converge on ensuring correctness and timeliness in resource-constrained distributed systems. His scientific accolades include the IEEE Region One Technological Innovation Award (2023) and NSF CAREER Award (2018), reflecting dual excellence in research and education. IEEE Region One Technological Innovation (Academic) Award, 2023 President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring, 2022 NSF CAREER Award, 2018 SEAS Early Career Teacher of the Year, 2016 Halstead Award for Outstanding Research in Software Engineering, 2009 Intel Fellowship, 2008 GAANN Fellowship, 2004 Ziarek directs significant research initiatives including a $900K NSF UAV infrastructure project (as PI) and a $1.7M MRI grant for connected vehicle testing. His funding portfolio spans real-time systems, compiler design, and pocket-scale data management, emphasizing collaborative, interdisciplinary approaches to software reliability. CRI:CI-New UAV Infrastructure ($900K, PI 31%) NSF CAREER: Real-time Object-Oriented Systems ($500K, PI 100%) MRI: iCAVE2 Vehicle Testing ($1.7M, co-PI 14%) III: Just-in-Time Data Structures ($499K, co-PI 50%) II-EN: MLton Compiler Research ($606K, PI 63%) He leads an open-source ecosystem including RTDroid (real-time Android), Multi-MLton (parallel SML compiler), and BlueSeal (Android security analyzer), fostering community-driven advances in systems software.

• Concurrency and Parallelism
• Real-time Systems
• Distributed Systems
• +۶ مورد دیگر

Dr. Brahim Medjahed is a Professor in the Department of Computer and Information Science at the University of Michigan - Dearborn's College of Engineering and Computer Science (CECS) . He also holds administrative roles as Associate Dean at the Rackham Graduate School and Acting Associate Dean of Undergraduate Education at CECS. He earned his PhD in Computer Science from Virginia Tech in 2004 and an M.Sc. from Algiers University of Sciences and Technology (USTHB) . Research Interests include advancing service-oriented software integration in emerging environments like cloud computing, IoT, big data, social computing, and crowdsourcing . His work focuses on privacy, trust, and fault tolerance in these domains. He has over 100 publications and two Springer-published books. Scientific Awards highlight his excellence: 2019 Michigan Distinguished Professor of the Year 2018 Trevor O. Jones Outstanding Paper Award 2015 Best Student Paper Award (ICWS) 2008 Wilkes Award (The Computer Journal) Grants include significant funding from Ford Motor Company ($191,154 for privacy algorithms) and NSF ($900,000 shared for IT education initiatives).

• Service-Oriented Computing
• Cloud Computing
• Data Management
• +۹ مورد دیگر

Stefan Ćirković is a Teaching Associate in the Department of Information Technologies at the Faculty of Technical Sciences in Čačak, University of Kragujevac. His office is located at Saint Sava 65, 32102 Čačak, Serbia. He is currently pursuing doctoral studies in Information Technology (2023–present) at the same institution. Education: Doctoral Academic Studies – Information Technology, University of Kragujevac (2023–present) Master of Academic Studies – Information Technology, University of Kragujevac (2022–2023) Basic Academic Studies – Information Technology, University of Kragujevac (2018–2022) Specialized Program – Cybersecurity, University of Kragujevac (2024) Research Focus: Ćirković specializes in applied artificial intelligence with significant work in cybersecurity, medical imaging, and network systems. His research demonstrates strong emphasis on practical AI implementations including real-time object detection (YOLO algorithm), anomaly detection in networks, federated learning for healthcare applications, and cybersecurity techniques using large language models. His work frequently intersects with medical informatics, particularly in diagnostic applications. Publication Trends: Recent publications (2024–2025) show predominant focus on AI/ML applications across multiple domains. Cybersecurity remains a core theme with novel approaches to web application security and network anomaly detection. Medical applications feature prominently, especially in diagnostic imaging (kidney stones, skin cancer) and hemodialysis optimization. Methodologically, there's consistent exploration of deep learning architectures and real-time systems. Laboratory Affiliations: Associated with the Computer Science Laboratory at the Faculty of Technical Sciences in Čačak. Utilizes institutional resources including the Moodle e-learning platform and Microsoft 365/Teams infrastructure for academic activities.

• Cybersecurity
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Sebastián Ferrada is an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile. He also serves as Young Researcher at the Institute for Foundational Research on Data (IMFD) and Collaborating Researcher at the National Center for Artificial Intelligence Research (CENIA). His research focuses on Knowledge Graphs, with special emphasis on extraction, management, and applications for querying, browsing, and AI systems. His academic background includes: PhD in Computer Science (2021), Universidad de Chile MSc in Computer Science (2017), Universidad de Chile BEng in Computer Science (2017), Universidad de Chile Sebastián's research explores several key areas: Multimedia Databases with applications to Wikimedia Commons images Graph Databases and Knowledge Graphs construction Federated Data Management across heterogeneous RDF sources SPARQL query extensions for similarity-based operations Graph data management and compression techniques His recent publications demonstrate strong trends in knowledge graph construction, similarity-based querying, and efficient graph data management. These works combine theoretical advancements with practical implementations in real-world systems like IMGpedia and MillenniumDB. Scientific achievements include: Best Paper Award at CoopIS 2023 Best Demonstration Award runner-up at SIGMOD/PODS 2024 Best Student Paper (Resources Track) and Best Poster at ISWC 2017 First prize in CLEI 2017 for his Master's thesis Sebastián currently leads the Fondecyt project on graph data management and contributes to the U-Inicia project on AI processes in graph databases. He serves on the editorial board of Transactions on Graph Data and Knowledge.

• Knowledge Graphs
• Graph Databases
• Multimedia Databases
• +۳ مورد دیگر

Tate Carson is an Assistant Professor in Digital Sound Design at Dakota State University, affiliated with the College of Arts & Sciences. His academic and creative work bridges music, technology, and interactive media, with a strong emphasis on human-computer interaction and new musical interfaces. His educational background includes a Ph.D. in Experimental Music and Digital Media from Louisiana State University, an M.F.A. in Electronic Music and Recording Media from Mills College, an M.M. in Jazz Studies from the University of New Orleans, and a B.M. in Music Industry Studies with a concentration in Jazz Bass from Loyola University New Orleans. Carson’s research and teaching focus on innovative applications of technology in music, including web audio, mobile music, and networked performance systems. His work explores how digital tools can enable participatory and environmentally responsive musical experiences. He has developed open-source curricula and taught programming for art and music at both university and high school levels. The most recent publications highlight trends in peer-to-peer music platforms, environmental sound awareness, audience-driven compositions, and collaborative circuit-bent devices. These works reflect a consistent interest in decentralization, interactivity, and ecological engagement through sound. 2nd place in Musicworks' 2016 Electronic Music Composition Contest for 'Before, I wandered as a diversion' Carson has advised and mentored students through undergraduate research and has been involved in curriculum development, particularly within STEM-integrated arts programs. He has secured teaching roles supported by initiatives like the LSU STEM Certification Pathways. His collaborative projects often involve interdisciplinary teams and open-access educational tools. He is actively involved in research labs and creative teams focused on web audio, networked music performance, and digital sound design, frequently presenting at leading international conferences such as the Web Audio Conference and New Interfaces for Musical Expression (NIME).

• New Interfaces for Musical Expression
• Human-Computer Interaction
• Mobile Music
• +۷ مورد دیگر