جست‌وجوی استاد و پژوهشگر

• Entity Resolution
• Knowledge Graphs
• Anomaly Detection
• +۴ مورد دیگر

Vassilis Christophides is a Researcher at INRIA Paris, France, specializing in data management and knowledge systems. His research spans entity resolution, knowledge graphs, anomaly detection, and IoT analytics, with recent focus on fairness-aware algorithms and explainable AI. He maintains active collaborations with institutions across Europe and has published extensively in top-tier venues including VLDB, ICDE, and KDD. His core research investigates: Scalable entity resolution techniques for web-scale data Knowledge graph construction and alignment methodologies Real-time anomaly detection in streaming environments Fairness and bias mitigation in data integration pipelines Edge computing optimizations for IoT analytics Recent publications demonstrate a strong trend toward responsible data science, combining foundational data management with emerging concerns in AI ethics. His work frequently develops novel methods for: (1) improving transparency in automated systems through explainable anomaly detection, (2) ensuring fairness in entity resolution workflows, and (3) optimizing resource-constrained edge environments for continuous analytics. Dr. Christophides leads research initiatives at INRIA and collaborates on European projects involving streaming data processing, knowledge representation, and distributed computing infrastructures. His team focuses on bridging theoretical frameworks with practical implementations for web-scale data challenges.

• High Performance Computing
• Agent Based Modeling
• Analysis of Large Datasets
• +۴ مورد دیگر

Parantapa Bhattacharya is a Research Scientist at the Network Systems Science and Advanced Computing Division of the Biocomplexity Institute and Initiative at the University of Virginia. His work focuses on developing computational tools and systems for extracting meaningful insights from complex datasets, with applications spanning public health, social networks, and artificial intelligence. Dr. Bhattacharya's research interests center around High Performance Computing, Agent Based Modeling, Analysis of Large Datasets, and Explainable AI with special emphasis on Natural Language Processing models. His work bridges the gap between theoretical computer science and practical applications in epidemiology and social systems, creating scalable frameworks that can handle real-world complexity and data volume. His publication record shows a clear trajectory from social media analysis (2013-2016) toward pandemic modeling and response (2019-2022), reflecting the growing importance of computational epidemiology. His research spans multiple disciplines including computer science, epidemiology, social network analysis, and public health, with a consistent focus on developing scalable computational frameworks. The most recent publications demonstrate significant contributions to pandemic response infrastructure, with several papers related to the PanSim framework for agent-based pandemic modeling. Notable recognitions include being a Finalist for the 2021 ACM Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research and having work published in Nature Computational Science, highlighting the impact and relevance of his research during the global pandemic. Dr. Bhattacharya has developed significant computational infrastructure, most notably PanSim - a distributed pandemic simulator that enables large-scale agent-based modeling of disease transmission. His technical expertise spans distributed systems, high-performance computing, and machine learning, allowing him to tackle complex problems at the intersection of computer science and public health.

• Digital Libraries
• Web Archiving
• Semantic Web
• +۳ مورد دیگر

Thomas Risse is a Professor affiliated with Goethe University Frankfurt, with former roles at institutions such as L3S Research Center and Fraunhofer Institute. His work focuses on digital libraries, web archiving, semantic technologies, and information retrieval. He has led and participated in numerous international conferences and workshops, including TPDL, JCDL, and ECIR. Key contributions include methods for event-centric web archive analysis, named entity evolution recognition, and semantic ambient media experiences. His research spans topics like focused crawling, language evolution in digital archives, and QoS-aware service composition. Risse has collaborated extensively with researchers across Europe and contributed to projects like ARCOMEM, enhancing social and semantic web archiving.

Vijay Anandمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Information Systems Management
• +۳ مورد دیگر

Dr. Vijay Anand is an Associate Professor of Information Systems and Technology at the University of Missouri-St. Louis (UMSL), where he joined in 2019. He holds a Ph.D. from the Illinois Institute of Technology. His research focuses on cybersecurity, blockchain technology, and educational strategies in computing curricula. Research interests include SIM card security, cybersecurity program accreditation, blockchain applications in accounting, and enhancing computing education through competitive events. Recent work explores Zero Trust architectures in tactical edge networks and discrete event simulation for healthcare system optimization. He has contributed to over 15 publications, including work on cryptomining detection, knowledge graph-as-a-service for cyber defense, and transforming lab courses for distance learning. No scientific awards are explicitly listed. His advising and grants section remains unspecified, though his research aligns with cybersecurity policy development and curriculum innovation. He is affiliated with UMSL’s media contact department, contributing to academic outreach and media relations.

• E-Learning
• Multimedia Systems
• Educational Technology
• +۳ مورد دیگر

Nikos Pappas is a Researcher affiliated with the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete. He is part of the TUC/MUSIC Laboratory (Laboratory of Distributed Multimedia Information Systems and Applications), focusing on interdisciplinary research in e-learning platforms, multimedia systems, and service-oriented architectures. His work emphasizes innovative educational technologies, digital ecosystems, and knowledge management infrastructure. His academic contributions span over two decades, with notable projects such as Coursevo (a gamified online learning platform) and Py4hs (a Python teacher training program). He actively contributes to advancing educational technologies through frameworks like PerFECt and TeC, which integrate computational principles into interdisciplinary learning environments. Key areas of expertise include distributed multimedia systems, metadata management, and platform development for collaborative learning communities. His research bridges theoretical computer science with practical applications, particularly in vocational training, robotics education, and digital business ecosystems. Though no awards are explicitly listed, his extensive publications reflect impactful contributions to e-learning systems and multimedia infrastructure. He advises on educational technology initiatives and maintains an active role in the development of open learning environments like MOLE (Multimedia Open Learning Environment).

• Real-time networks
• Embedded systems
• Wireless sensor networks
• +۵ مورد دیگر

Filipe de Faria Pacheco Paulo (born Filipe de Faria Pacheco in 1971) is a Professor and PhD Researcher at the Department of Computer Engineering within the School of Engineering at the Polytechnic Institute of Porto. He has been teaching at this institution since 1996 and is actively involved in research through CISTER (Centre for Research in Cyber-Physical Systems and Technologies), where he has served on the board of directors since 2013. He earned his undergraduate degree in 1994, MSc in 1997, and PhD in 2009, all in Electrical and Computer Engineering from the University of Porto. His academic journey began with research at the Systems and Robotics Institute, Industrial Automation Group (University of Porto) from 1994 to 1996, where he focused on User Interfaces. Professor Pacheco's research spans multiple domains of computer engineering with a strong emphasis on practical applications. His work has evolved from early research in industrial communication protocols and power-line communications to more recent work in wireless sensor networks, Internet of Things, and datacenter energy optimization. His publications reveal a consistent interest in real-time systems and networked embedded computing across diverse application domains including industrial automation, transportation, aerospace, and sustainable computing infrastructure. His approach combines theoretical protocol design with practical implementation considerations. His publication record demonstrates a clear progression from foundational work in industrial communication protocols to cutting-edge research in cyber-physical systems. The thematic evolution shows increasing focus on energy efficiency, scalability, and integration of diverse technologies. His recent work particularly emphasizes applications in sustainable computing, smart infrastructure, and vehicular networks, reflecting contemporary challenges in computer engineering. Best paper award nominee at INForum 2015 for 'Social Media Integration in Video Games: A Social Overlay for Desktop Games' Professor Pacheco has been instrumental in several major research projects including R-Fieldbus, REMPLI, SENODS, SmartSkin, and CarCoDe. His leadership in CISTER since 2002 and position on the board of directors since 2013 highlight his significant role in the research community. His work often involves collaboration with international partners and has practical applications in industrial settings. As a core member of CISTER, he contributes to one of Portugal's leading research centers in cyber-physical systems. The center focuses on real-time and embedded systems with applications across multiple sectors. His work within this framework has helped establish important connections between academic research and industrial applications, particularly in the domains of transportation, energy, and manufacturing.

• Cybersecurity
• Distributed Systems
• P2P Applications
• +۶ مورد دیگر

Evangelos Markakis is an Assistant Professor at the Department of Information & Communication Systems Engineering (Hellenic Mediterranean University) with over 20 years of experience in Cybersecurity, Distributed Systems, and Fog Computing . His career spans roles in the Research & Development of Telecommunications Systems Laboratory 'PASIPHAE', 'Pagni' Hospital (Network Architect), and Horizon 2020 projects as Dissemination Manager (FORTIKA) and Technical Manager (EMYNOS). He holds a PhD in P2P Constellations in Broadband Networks (University of the Aegean) and has contributed to 60+ publications (H-index 11). BSc (2003): Applied Informatics & Multimedia, Technological Educational Institute of Crete MSc (2005): Data Communication Systems, Brunel University PhD (2014): P2P Constellations in Broadband Networks, University of the Aegean His research focuses on Secure Network Virtualization (SDN/NFV), Quantum-Resistant Cryptography , and AI-Driven Cybersecurity . Recent work explores 6G Network Security , UAV Communication Protection , and Privacy-Preserving Healthcare Systems . Key project involvements include: H2020-FORTIKA (GA740690): Dissemination Manager H2020-SMILE (GA740931): Researcher H2020-SPHINX: Security Architect Scientific contributions: Editor of IET Book on 'Cloud and Fog Computing in 5G Mobile Networks' Workshop Co-Chair: IEEE SDN-NFV Conference Initiator of CYBERSEC4HEALTH Workshop (EU TDS-02-2018 Projects) Active in IEEE and IEEE ComSoc He has led work packages in 20+ EU/Greek research projects, with expertise in IoT Security Frameworks , Federated Learning , and Quantum Communication Analysis .

Nidhal C. Bouaynayaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• +۵ مورد دیگر

Nidhal C. Bouaynaya is a Professor at Rowan University's Henry M. Rowan College of Engineering, holding dual roles as Associate Vice President for Artificial Intelligence and Director of MAVRC. She leads the Electrical & Computer Engineering department and focuses on AI-driven research in health informatics and engineering systems. Education: Ph.D. & M.S. in Electrical & Computer Engineering (University of Illinois at Chicago), M.S. in Pure Mathematics (UIUC), B.S. in Electrical Engineering (ENSEA, France). Research: Specializes in AI, Machine Learning, Big Data Analytics, and Medical Imaging. Her work includes brain tumor segmentation (BRATS 2016 winner), healthcare AI applications, and aviation safety systems. She co-founded MRIMATH LLC to commercialize oncology AI solutions. Grants & Funding: Over $10M+ secured from NSF, NIH, FAA, USDA, and industry partners. Active projects include aviation safety data analysis, AI-based water resource modeling, and tumor surveillance systems. Awards: Rowan Research Achievement Award (2017), Best Paper Awards (IEEE 2019, GENSIPS 2013), and recognition for entrepreneurial ventures in AI healthcare. Students: Mentors 18+ doctoral, master's, and undergraduate researchers in AI, biomedical systems, and signal processing. Labs & Teams: Leads MAVRC (Multidisciplinary Applied Vision and Reality Computing lab) and collaborates with industry partners like Lockheed Martin and NASA on applied AI solutions.

Kang Liمشاهده پروفایل

استاد مدعو

• Network Security
• Multimedia Networking
• Computer Networks
• +۳ مورد دیگر

Kang Li is an Adjunct Professor in the School of Computing at the University of Georgia, part of Franklin College of Arts & Sciences. His research focuses on Network Security, Systems Security, and Multimedia Networking, with a strong emphasis on cybersecurity challenges in domains such as DNS monitoring, malware detection, and cloud computing. Li holds a Ph.D. in Computer Science from Oregon Graduate Institute (2002) and a B.Sc. from Tsinghua University (1995). His research interests include analyzing security risks in distributed systems, developing tools for detecting malicious domain names, and exploring vulnerabilities in virtualized environments. Notable projects include the DHS-funded 'SDCI Sec: Passive and Active DNS Monitoring Tools' (2015–2019) and collaborative work on ClickMiner and WebCapsule for forensic browser interaction analysis. Li has authored over 50 peer-reviewed publications, covering topics such as rowhammer exploits, autonomous vehicle security, and kernel vulnerability analysis. His work bridges theoretical computer science with practical applications in networked systems and cloud infrastructure.

Jong Kwan Jake Leeمشاهده پروفایل

دانشیار

• Visualization
• Computer Vision
• Pattern Recognition
• +۵ مورد دیگر

Dr. Jong Kwan "Jake" Lee is an Associate Professor and Department Chair of the Computer Science Department at Bowling Green State University in Ohio, with expertise in visualization, computer vision, and machine learning. He holds a Ph.D. and M.S. in Computer Science from the University of Alabama in Huntsville and a B.Eng. from Kyungpook National University, Korea. Research Interests : Deep learning-based solar physics visualization Computer vision and pattern recognition High-performance computing applications Machine learning for business and engineering problems Computer graphics and multimedia Teaching : He teaches courses ranging from operating systems to advanced computer graphics and artificial intelligence, with a focus on both undergraduate and graduate levels. His research publications reflect trends in solar feature analysis, GPU acceleration, and encrypted data management. Service : Dr. Lee has held leadership roles including department chair and served on university-wide committees for curriculum development and diversity. He has advised over 30 graduate and undergraduate students in computer science and data science.

• Biomedical Engineering
• Machine Learning
• Signal Processing
• +۱۲ مورد دیگر

Abbas Z. Kouzani is a Professor at Deakin University's School of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary domains including biomedical engineering, artificial intelligence, sensor technology, and embedded systems. Key areas: Machine Learning, Neurotechnology, Sustainable Robotics, Mental Health Analytics Recent work focuses on AI-driven solar defect detection, low-resource FPGA implementations, and 4D-printed robotic joints with reinforcement learning. Collaborations include Sui Yang Khoo, Scott D. Adams, and M. A. Parvez Mahmud.

• Telecommunications
• Wireless Communication
• Machine Learning
• +۱۴ مورد دیگر

Dr. Iakovos S. Venieris is a distinguished researcher at the University of Piraeus , Department of Digital Systems , with a prolific publication record spanning over 15 years. His work focuses on telecommunications , wireless networks , and machine learning applications in network optimization and security. Research Interests Telecommunications and Wireless Network Design Intelligent Metasurfaces (STARS) in 5G/6G Systems Edge Computing and DNN Inference Optimization Privacy-Aware Network Monitoring and Access Control Particle Swarm Optimization in Network Topology Context-Aware Systems and Semantic Rule Injection Recent Trends : His 2024–2025 publications emphasize stacked intelligent metasurfaces for MIMO networks, ML-driven eavesdropper detection in IIoT, and dynamic temporal encodings for IoT security. Earlier works delve into privacy legislation enforcement (2007) and adaptive QoS via neural networks (2006). Collaborations : Regular co-author with Dimitra I. Kaklamani , Symeon Chatzinotas , and Stylianos I. Venieris , often published in IEEE Transactions on Vehicular Technology, Wireless Communications, and Access.

• Wireless Sensor Networks
• Nanocommunication Networks
• IoT Network Security
• +۳ مورد دیگر

Rafael Asorey-Cacheda is an active researcher in wireless communication and IoT technologies, with a focus on nanocommunication networks, error correction schemes, and environmental monitoring systems. His work spans collaborations with institutions and researchers like Antonio-Javier García-Sánchez and Joan García-Haro, resulting in publications in IEEE journals and conferences since 2001.

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +۳ مورد دیگر

Professor Phoebe Chen is a Professor and Chair of the Department of Computer Science and Information Technology at La Trobe University, Melbourne, Australia since 2010. Previously, she held roles as Associate Professor at Deakin University (2003–2010) and Senior Lecturer at Queensland University of Technology (1999–2003). She earned her BInfTech (First Class Honours) and PhD in Computer Science from the University of Queensland (2000). Her research focuses on interdisciplinary areas including bioinformatics, artificial intelligence, medical image analysis, deep learning, and data mining. Notable projects include the ARC Centre of Excellence in Bioinformatics and drug design using visualization and machine learning. She has secured over 30 research grants totaling ~$8M, including 13 prestigious ARC grants. Professor Chen chairs international conferences like the Asia-Pacific Bioinformatics Conference and ACM MM, and serves on editorial boards such as IEEE Transactions on Neural Networks and Current Bioinformatics. Her work spans topics like cancer recurrence prediction via multi-omics data, medical image analysis using neural networks, and AI-driven solutions for healthcare challenges. She has published over 300 peer-reviewed papers in top journals/conferences (e.g., Nature Machine Intelligence, IEEE Transactions).

• Cryptography
• Cybersecurity
• Data Mining
• +۴ مورد دیگر

Артан Лума is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). He holds a PhD in Computer Sciences (Cryptography) from SEEU, a Master's in Multimedia, and an engineering degree in Informatics. His academic roles span over two decades, including Deputy Director of e-Learning Center and prior positions as Associate Professor (2015–2020), Assistant Professor (2010–2015), and Teaching Assistant (2003–2010). His research focuses on Cryptography, Cybersecurity, Blockchain Technology, and Data Mining, with notable contributions to academic credential verification systems, alignment of university curricula with job markets, and industrial IoT security. He has authored/co-authored over 40 peer-reviewed publications in venues like IEEE, International Journal of Online and Biomedical Engineering, and SAR Journal. Key Research Themes: Blockchain applications in education, cybersecurity frameworks for IIoT, parallel computing algorithms. Grants/Projects: Developed the North Macedonia Research Ranking Platform and collaborated on EU-funded projects aligning education with labor market needs. Educational Leadership: Pioneered e-Learning initiatives and curriculum modernization in Balkan universities.