جست‌وجوی استاد و پژوهشگر

• Semantic Web
• Linked Data
• Ontology Engineering
• +۷ مورد دیگر

Dr. Stefan Schlobach is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Artificial Intelligence department, Network Institute, and Knowledge Representation and Reasoning group. His research focuses on Semantic Web, Linked Data, Ontology Engineering, and Hybrid Intelligence systems. He has published over 116 peer-reviewed works and supervised 6 PhD theses. Recent projects include robotic knowledge acquisition (ORKA ontology), explainable AI for security systems, and knowledge engineering for virtual heritage applications. He co-developed the LOTUS search framework for big linked data and contributed to the CoPla ontology for agriculture. His work bridges theoretical foundations (e.g., argumentation systems) with applied domains (e.g., cyber-physical systems, cultural heritage digitization). Research Interests: Semantic Web Technologies Knowledge Graphs & Ontology Engineering Hybrid Intelligence (Human-AI Collaboration) Robotic Perception Systems Explainable AI Entity Linking & Identity Resolution Key Contributions: Developed LOTUS adaptive search system (2016 prize-winning work) Created ORKA ontology for robotics knowledge acquisition Pioneered perceived-entity linking methodologies Advocated knowledge engineering principles for hybrid systems Teaching: Leads courses in Artificial Intelligence, Knowledge Representation, and Semantic Technologies at both undergraduate and graduate levels.

• Stochastic Modeling
• Model Checking
• Hybrid Systems
• +۴ مورد دیگر

Dr. Anne K.I. Remke is a Full Professor in the Department of Mathematics of Operations Research at the University of Twente's College of Engineering. Her research focuses on stochastic modeling, hybrid systems, and formal verification techniques, with applications in energy systems, cybersecurity, and healthcare. She contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Her recent work includes developing stochastic hybrid system specifications, intrusion detection systems for smart grids, and parameter estimation methods for battery models. She has collaborated internationally on projects involving energy distribution networks and cybersecurity infrastructure. Remke has supervised 3 PhD students and maintains an active publication record with over 76 research outputs since 2004. Her technical expertise spans model checking algorithms, probabilistic verification, and algorithm design for infinite-state systems. She frequently publishes in peer-reviewed journals like Energy Informatics and conferences such as E-Energy and IEEE CSR, focusing on real-world applications like smart grid communication and energy management optimization.

Angelo Sotgiuمشاهده پروفایل

استادیار

• Machine Learning Security
• Adversarial Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Angelo Sotgiu is an Assistant Professor at the University of Cagliari's Department of Electronic and Computer Engineering. His research focuses on machine learning security, adversarial attacks, and malware detection. He holds an MSc in Telecommunication Engineering and a PhD in Electronic and Computer Engineering from the University of Cagliari. During his PhD (2019–2023), he conducted a visiting research period at CISPA Helmholtz Center for Information Security (Saarbrücken, Germany). He has worked as a Research Collaborator for the National Interuniversity Consortium for Informatics (CINI) from 2022–2023. His work emphasizes adversarial robustness, AI security, and practical defenses against attacks on machine learning systems. Key contributions include the ImageNet-Patch dataset for adversarial patch benchmarking, the secml Python library for secure ML, and frameworks like Fader for fast adversarial example rejection. His research bridges theoretical advancements with real-world cybersecurity applications.

Ali Mansourمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Computer Networking
• Educational Technology
• +۲ مورد دیگر

Dr. Ali Mansour is a Senior Lecturer in Computing and Information Systems at the University of Bedfordshire's School of Computer Science and Technology . He holds a PhD in Computer Science from Sheffield University and a BSc (Honours) in Computer Studies from Sheffield Hallam University. His professional credentials include Chartered Engineer (CEng), Chartered IT Professional (CITP), and Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). Education Background: PhD in Computer Science, University of Sheffield BSc (Hons) in Computer Studies, Sheffield City Polytechnic (now Sheffield Hallam University) Research Focus: Cyber Security, Computer Networking, Educational Technology (e-Learning, Virtual Learning Environments), and Medical Informatics. His work includes Wellcome Trust-funded medical informatics research and leadership in cybersecurity education through the Cisco Academy. Professional Contributions: Lead academic for Cisco Academy since 2009 (recognized by Cisco in 2018) External Examiner roles at Solent University, University of Portsmouth, and others Project leadership: £73K British Council DelPHE-Iraq Project (2011-2012), Innovation Voucher projects (£6K total) Leadership Roles: Course Leader for BSc Cybersecurity, MSc Cyber Security, and MSc Cyber Security with Project Management Member of the Institute for Research in Applicable Computing (IRAC) Professional Memberships: Fellow of the British Computer Society (2012–present) Chartered Engineer (British Engineering Council, 2003–present) Advisory & Consultancy: Supervised 9 PhD students and provided consultancy through the University’s Research and Innovation Service.

Ahmed Aleroudمشاهده پروفایل

دانشیار

• Cyber Security
• Privacy Preserving Data Analytics
• Intrusion Detection
• +۴ مورد دیگر

Dr. Ahmed Aleroud is an Associate Professor of Cyber Security at Augusta University's Department of Computer & Cyber Sciences within the School of Computer and Cyber Sciences. He holds a Ph.D. in Information Science from the University of Maryland, Baltimore County (UMBC), an MS in Computer Information Systems from Yarmouk University, and a BS in Software Engineering from Hashemite University. His research focuses on cyber-security, privacy-preserving data analytics, social engineering attack detection, and radical content identification via sentiment analysis. Key areas of expertise include intrusion detection, privacy-preserving techniques, and adversarial machine learning applications. His work is supported by organizations like MITRE and the European IP Networks (RIPE). Notable awards include the RIPE Academic Cooperation Initiative (2018) and European IP Networks support (2017). Education: Ph.D. in Information Science, University of Maryland, 2014 BS in Software Engineering, Hashemite University, 2006 His teaching interests span cyber security, data mining, and databases. Recent publications emphasize generative AI's role in deception detection, adversarial attacks on intrusion detection systems, and privacy-preserving frameworks for IoT and smart grids. He actively contributes to professional service as a reviewer for ACM Transactions on Intelligent Systems and Technology (TIST). Grants & Support: MITRE, RIPE, Maryland Innovation Initiative Service Roles: Faculty search committee member, data science curriculum developer, and graduate research day judge

Piotr Krystaمشاهده پروفایل

استاد

• Theoretical Computer Science
• Algorithmic Mechanism Design
• Algorithmic Game Theory
• +۸ مورد دیگر

Piotr Krysta is a Professor in the School of Computer and Cyber Sciences at Augusta University, GA, USA, and a part-time Professor in the Department of Computer Science at the University of Liverpool, UK. He is affiliated with the Materials Innovation Factory and the Doctoral Training Centre in Distributed Algorithms. His research focuses on theoretical computer science, algorithmic mechanism design, algorithmic game theory, optimization, and their applications in computational economics, blockchains, computational chemistry, AI, and machine learning. Education: Ph.D. from the University of Saarland (2001), Habilitation from the University of Dortmund (2006). Prior roles include postdoctoral positions at Max Planck Institute for Informatics and University of Waterloo. Research interests include approximation algorithms, distributed algorithms, stochastic optimization, and adversarial equilibria. Notable works include crystal structure prediction algorithms and MEV blockchain mechanisms. Recognitions include the Emmy Noether Fellowship (2004–2008), ICALP 2012 Best Paper Award, and AAMAS 2013 Best Paper Award. Advising: Supervised 7 Ph.D. students, including Antonia Tsili and Emmanouil Bakopoulos. Secured £1.2 million in research grants, notably on mechanism design and algorithmic game theory. Labs/Teams: Active in the Materials Innovation Factory and collaborations with chemists and computer scientists for computational chemistry projects.

Hyungsub Kimمشاهده پروفایل

استادیار

• System Security
• Cyber-Physical Systems Security
• Privacy
• +۱ مورد دیگر

Hyungsub Kim is an Assistant Professor of Computer Science at Indiana University Bloomington's Luddy School of Informatics, Computing, and Engineering. He earned his PhD in Computer Science from Purdue University in 2023. His research focuses on system security and privacy, particularly cyber-physical systems security. He is affiliated with the Security and Privacy in Informatics, Computing, and Engineering research center.

• Cybersecurity
• Mobile Technologies
• Wireless Sensor Networks
• +۵ مورد دیگر

John J Yoon is a Professor of Cybersecurity in the Math/Computer Sciences Department at Mercy College's School of Liberal Arts. He serves as Director of the Mercy College Edge Computing (MCEC) initiative. His research focuses on cybersecurity, mobile technologies, wireless sensor networks, and machine learning applications in network security. Key areas include IoT security, secure coding practices, and distributed data services. His work bridges theoretical advancements with practical implementations, such as deep-learning approaches to IoT threat detection and steganography techniques in Python. Recent publications emphasize edge computing trustworthiness, real-time packet analysis, and collaborative sensor calibration. Notable contributions include an intelligent distance learning framework for heterogeneous online students (2021), a deep-learning IoT attack handling system (2020), and studies on sensor trustworthiness in mobile edge computing (2017-2018). His research spans over three decades with foundational work in XML security (2006) and telecommunications fault management (1993).

Sanjay Bapnaمشاهده پروفایل

استاد

• Business Intelligence
• Data Mining
• Analytics
• +۳ مورد دیگر

Dr. Sanjay Bapna is an Interim Associate Dean and Professor in the Graves School of Business at Morgan State University, leading the Department of Information Science & Systems. He holds a B.Tech. in Chemical Engineering from IIT Kanpur (1981), an MBA from the University of Iowa (1987), and a Ph.D. in Management Information Systems from the same institution (1992). His research focuses on Business Intelligence, Data Mining, Analytics, Computer Security, and Economic Modeling. He has secured grants from the Department of Transportation and pioneered work in freight industry economic analysis, cybersecurity deterrence, and insider threat modeling. Awards include the 2011 Best Paper Award and multiple recognition from National Decision Sciences Institute and International Association of Computer Information Systems. Recent publications span predictive modeling in healthcare, freight economics, and cybersecurity strategies. He has developed frameworks for CRM analytics, GIS-based crash analysis, and privacy-preserving data mining techniques. Prof. Bapna’s work emphasizes practical applications of technology in transportation safety, STEM diversity initiatives, and organizational trust dynamics. His contributions bridge academia and industry through impactful research in logistics, data systems, and policy-driven solutions.

M. Hossain Heydariمشاهده پروفایل

استاد

• Information Security
• Internet of Things (IoT) Security
• Telecommunication Networks
• +۳ مورد دیگر

Dr. M. Hossain Heydari is a Professor of Computer Science at James Madison University (JMU), serving since 1997. He is also the Director of JMU's Master of Science in Computer Science with a Concentration in Information Security. His academic journey includes roles such as Associate Professor at the University of Wisconsin-Whitewater and Assistant Professor at Jackson State University. He holds a Ph.D. in Computer Science from the University of Texas at Dallas (1993), an M.S. in Computer Science from Jackson State University (1979), and a B.S. in Applied Mathematics from Karaj School of Mathematics & Economic Management (1976). His research focuses on Information Security, IoT Security, Telecommunication Networks, E-Commerce, VLSI Layout, and Computer Science Education. Recent publications span environmental remediation (e.g., nanomaterial-based pollution control), cybersecurity (e.g., IoT system security), and interdisciplinary topics like solar energy strategies in the Middle East. His work integrates analytical chemistry, bioinformatics, and mathematical modeling to address complex challenges. Teaching areas include Information Security, Operating Systems, and programming languages, with experience in online education. While no specific awards are listed, his contributions to curriculum development and interdisciplinary research highlight his academic impact. His career also includes non-academic roles like Visiting Scientist at Lawrence Berkeley Labs and industry experience in software engineering. Dr. Heydari’s advising and grants are not explicitly detailed, but his leadership in JMU’s Information Security program underscores his commitment to training future cybersecurity experts. Collaborations are implied through his diverse publication themes, though specific labs or teams are not mentioned.

Christian Krupitzerمشاهده پروفایل

استاد

• Self-aware Computing Systems
• Self-adaptive Systems
• Autonomic Computing
• +۱۲ مورد دیگر

Christian Krupitzer is a Tenure Track Professor at the Department of Food Informatics, University of Hohenheim since October 2020. Previously, he served as a post-doctoral research group leader at the Chair of Software Engineering (Informatik II) at the University of Würzburg (2018–2020) and completed his doctoral research at the Chair of Information Systems II (University of Mannheim, 2012–2018). He holds a Master of Business Informatics from the University of Mannheim and an Erasmus stay at Vrije Universiteit Amsterdam. His research focuses on Self-aware Computing Systems, Autonomic Computing, IoT, and Cyber-physical Systems, with applications in Industry 4.0 and Intelligent Transportation Systems. He has organized multiple conferences and workshops, including the International Workshop on Self-aware Computing Systems (SeAC) and the Organic Computing Doctoral Dissertation Colloquium. His teaching roles include co-lecturing on 'Self-aware Computing Systems' and 'Advanced Programming' at the University of Würzburg. He has supervised several theses, including works on multirotor formations and platooning coordination. Notable awards include DAAD grants and Best Paper nominations. His contributions span academic leadership, with roles such as Steering Committee Secretary for the International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) and IEEE membership. Research highlights include frameworks for self-adaptive systems and infrastructure-aided platooning management in autonomous vehicles.

• Computer Science
• Networking
• Embedded Systems
• +۲ مورد دیگر

Kay Uwe Römer is a Professor at the Institute of Technical Informatics (Institut für Technische Informatik) of Technische Universität Graz. His academic qualifications include a Diplom-Informatics degree and a Doctor of Sciences from ETH Zurich (Dr.sc.ETH). He holds a teaching qualification in Technical Informatics and oversees research and teaching activities in his department. His work focuses on technical informatics and related interdisciplinary fields. He is reachable at roemer@tugraz.at and his office is located at Inffeldgasse 16/I, Raum IE01176 in Graz. His professional profile emphasizes research, development, and academic leadership within computer science and engineering disciplines.

Ronald W. Fechterمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Mathematical Logic
• Automated Deduction
• +۶ مورد دیگر

Ronald W. Fechter is an Associate Professor in the Division of Computer Science, Mathematics and Science at the Lesley H. and William L. Collins College of Professional Studies (CPS), St. John's University. He has held this position since 2005 and contributed to curricular developments including new BS programs in Cyber Security Systems and Healthcare Informatics, and an MS program in Data Mining and Predictive Analytics. His doctoral research under Martin Davis at NYU's Courant Institute focused on Skolem Functions and the Lambda Calculus, culminating in his 1991 Ph.D. dissertation. Research interests span automated deduction, lambda calculus, embedding theorems, non-standard analysis, and the history of mathematical reasoning. He teaches courses in mathematical logic, theory of computation, differential equations, and numerical analysis. Notable work includes a 1991 co-authored article on lambda calculus embeddings with Davis. No awards or grants are explicitly listed in the provided text. His academic contributions emphasize theoretical foundations and interdisciplinary curricular innovation.

• Business Process Management
• Distributed Simulation
• Model-Driven Engineering
• +۴ مورد دیگر

Paolo Bocciarelli is affiliated with the University of Rome Tor Vergata , specifically within the Department of Industrial Engineering under the College of Engineering . His work focuses on business process modeling and simulation , leveraging model-driven engineering and distributed simulation to enhance system automation and interoperability. Teaches Service-oriented Software Engineering and other software/systems courses Research emphasizes MSaaS (Modeling and Simulation as a Service) , HLA (High-Level Architecture) , TOSCA , and IoT-aware systems His recent publications (2025–2024) address collaborative business processes in distributed environments, XES extensions for simulation, HLA-based interoperability, and predictive process mining using ebPMN. Earlier works (2023–2019) explore resource modeling, IoT integration, federated MSaaS infrastructures, and microservice-based simulations. He has no listed scientific awards or students in the provided data.

Reena Pauمشاهده پروفایل

پژوهشگر ارشد

• Computing Education
• Gender Studies in STEM
• Educational Technology
• +۳ مورد دیگر

Dr. Reena Pau is a Senior Enterprise Fellow at the University of Southampton, contributing to interdisciplinary research in computing education and gender studies. She is affiliated with the Cyber Physical Systems Centre for Internet of Things and Pervasive Systems and the UKRI Centre for Doctoral Training in Machine Intelligence for Nano-electronic Devices and Systems . Her work focuses on inclusive teaching strategies, gender dynamics in STEM education, and leveraging technology for interactive learning experiences. Pau has co-authored research on student motivation, social networks in education, and the experiences of women in computing careers. Education & Research Groups While formal educational credentials are not explicitly listed, her research integrates pedagogical innovation with technological applications. She collaborates with experts across computer science, education, and social sciences. Labs & Projects Pau’s involvement in the UKRI CDT highlights her role in training next-generation researchers in machine intelligence and nano-electronics. Her projects emphasize practical applications like Raspberry Pi-based interactive art and online hubs for inclusive computing education.