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Michael BewongView profile

Senior Lecturer

• Data Science
• Artificial Intelligence
• Cyber Security
• +3 more

Dr. Michael Bewong is a Senior Lecturer in Computing at Charles Sturt University, specializing in Data Science, AI, and Cyber Security. He holds a PhD and BSc (Hons) from the University of South Australia. His roles include teaching database-related subjects and conducting research in data analytics and cyber security. Previously, he worked as a Research Fellow at UniSA, collaborating with Data to Decisions CRC on projects like 'Beat the News' (predictive data mining) and 'Predicting Cyber Security Exploits' (machine learning for vulnerability analysis). Education: PhD in Computing, University of South Australia BSc (Hons) in Computing, University of South Australia Research Interests: Focuses on applying data analytics and machine learning to solve real-world problems in cyber security, agriculture, and health. His work integrates AI-driven solutions for cyber threat detection, privacy-preserving data publication, and smart farming systems. Current projects include analyzing UAV threats to agriculture and developing frameworks for false information detection on social media. Articles Trends: Recent publications emphasize cyber security (e.g., threat hunting, exploit prediction), AI ethics (fairness algorithms), and precision agriculture (UAV threats, data-driven farming). Collaborations span interdisciplinary teams addressing challenges in graph data imputation, federated learning, and privacy techniques like LDP. Awards: Holds 12 prizes (specific names not listed in provided texts). Advising & Grants: No explicit student advisees listed. Collaborations include grants from Data to Decisions CRC and Food Agility Cooperative Centre. Labs/Teams: Affiliated with Data Science and Engineering Research Unit, Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG) at Charles Sturt University.

• Fracture Mechanics
• Ice Mechanics
• Materials Science
• +2 more

John Dempsey is a Professor in the Coulter School of Engineering & Applied Sciences at Clarkson University, affiliated with the Department of Civil & Environmental Engineering. His research focuses on fracture mechanics, ice mechanics, and materials science, with applications to polar engineering and structural analysis. His publications demonstrate a consistent focus on ice fracture behavior under varying thermal and mechanical conditions. Recent work explores size/rate effects in freshwater ice fracture, T-stress extraction methods, and in-situ testing protocols. The research employs laboratory experiments, field measurements, and computational modeling to address fundamental questions in material failure. No awards, students, or lab affiliations were mentioned in the provided text.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +3 more

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

• Systems Engineering
• Product Development
• Conceptual System Design
• +5 more

Dinesh Verma is a Professor and Executive Director of the Systems Engineering Research Center (SERC) at Stevens Institute of Technology. He previously served as Founding Dean of the School of Systems and Enterprises (2007–2017). His roles include adjunct positions at Georgetown University (Visiting Professor, Department of Biochemistry), and advisory roles at institutions like the Embedded Systems Institute (Eindhoven, Netherlands) and the Defense Science Board (U.S.). Education and Professional Background: Verma’s career spans academia and industry, including roles at Lockheed Martin, Virginia Tech (Systems Engineering Design Laboratory), and as an Invited Lecturer at the University of Exeter (1995–2000). Research Interests: Focus on systems engineering fundamentals, including conceptual design evaluation, system architecture, life cycle costing, and supportability engineering. Recent work emphasizes digital engineering integration, ontology-based model interoperability, and systems security for modular open systems. Grants & Patents: Directed over $175M in academic/research programs. Holds patents in life-cycle costing, fuzzy logic for design evaluation, and collaborative engineering tools. Awards: Honorary Doctorate (Linnaeus University, 2007) and Honorary Master’s (Stevens, 2008). INCOSE Fellow (International Council on Systems Engineering). Key Contributions: Authored 100+ publications, including textbooks on Maintainability, Economic Decision Analysis, and Space Systems Engineering. Co-founded the Defense Science Board’s Digital Engineering initiative and chairs DoD/MITRE mission engineering collaborations.

Guiling WangView profile

Professor

• Machine Learning
• Blockchain Technology
• Deep Learning
• +9 more

Dr. Guiling Wang is a Distinguished Professor of Computer Science and Associate Dean of Research and External Relations at New Jersey Institute of Technology (NJIT). She holds a Ph.D. in Computer Science and Engineering from The Pennsylvania State University (2006) and a B.S. in Software Engineering from Nankai University, China (2002). Her research focuses on machine learning, blockchain technology, deep learning, and intelligent transportation systems. Dr. Wang’s work spans interdisciplinary areas such as: Machine Learning and Reinforcement Learning Blockchain-based systems and decentralized applications Intelligent traffic signal control and autonomous systems Data privacy and cybersecurity Generative adversarial networks (GANs) and vision-language models Her recent research emphasizes practical solutions for: Optimizing traffic management through multi-agent reinforcement learning Developing robust watermarking techniques for digital security Applying LLMs for financial decision-making and portfolio management Designing blockchain frameworks for vehicular networks and edge computing Notable contributions include: Proposing novel architectures like MCFN for high-performance watermarking Advancing RAGIC for risk-aware stock interval construction Developing PairUpLight for multi-intersection traffic coordination Pioneering blockchain-based systems iBCTrans and VDKMS for vehicular networks Dr. Wang’s research is supported by grants from federal agencies and industry collaborators, with applications in smart cities, financial technology, and healthcare systems.

• Software Engineering Education
• Computational Technology in Education
• Machine Learning Applications
• +5 more

Saheed Popoola, PhD, is an Assistant Professor at the University of Cincinnati's CECH - School of Information Technology. His research spans software engineering education, computational technology in K-12 classrooms, and model-driven engineering. He actively explores strategies to enhance collaborative learning environments through student-driven software projects and investigates challenges in open-source development and cybersecurity incident analysis. His work bridges empirical software engineering practices with educational technology, focusing on topics such as static analysis tool efficacy, user sentiment analysis in software communities, and ensemble learning techniques for network security. He has contributed to tools like Loupe for model analysis and has examined LabVIEW/Simulink model evolution patterns. Recent studies include the impact of computational thinking in K-12 education, early heart disease detection via machine learning, and strategies for managing diverse classroom environments. His research emphasizes practical applications in both academic and industrial software development contexts. Notably absent from the provided data are specific details about grants, awards, or direct student advising. However, his involvement in initiatives like the student software solutions center highlights a focus on experiential learning and community-driven development practices.

• Mobile and ubiquitous user interfaces
• Interaction techniques
• Visual and ubiquitous analytics
• +5 more

Pourang Irani is an Adjunct Professor in the Department of Computer Science at the University of Manitoba's Faculty of Science. His research focuses on designing software tools for ubiquitous interaction and analytic tasks, emphasizing accessibility across devices and environments. He holds an email address associated with the University of British Columbia (UBC), suggesting potential cross-institutional collaborations. Research Interests: Mobile and ubiquitous user interfaces Visual and ubiquitous analytics Information visualization Navigation and distributed user interfaces Gaming and input device innovations While no specific grants, awards, or students are listed, his work bridges human-computer interaction and pervasive computing environments. No lab affiliations or future projects are detailed in the provided text.

Jeffrey WallView profile

Associate Professor

• AI/Machine Learning
• Information Systems
• Business Analytics
• +3 more

Jeffrey Wall is an Associate Professor of Management Information Systems & Analytics at the College of Business, Michigan Technological University. He holds a PhD in Information Systems from the University of North Carolina at Greensboro, along with an MS in Public Administration (minor in IS) from Brigham Young University and a BA in Organizational Communication from the University of Utah. His research focuses on AI/ML applications in finance/accounting, simplification of AI workflows, information security behavior, and power dynamics. He has developed proprietary e-commerce systems and an ERP system, and currently oversees two open-source software projects with student collaboration. Teaching interests include business process automation, AI for business, systems analysis, and programming for analytics. Dr. Wall’s work emphasizes entrepreneurship and the practical application of technology in small businesses. His research spans behavioral aspects of information security, organizational policy compliance, and cross-cultural privacy behaviors. He has authored over 15 peer-reviewed articles on topics ranging from fear appeals in security messaging to collaborative theorizing in academic research. His projects often bridge theory and practice, particularly through student-led open-source initiatives.

• Cloud Computing
• Online Social Network Analysis
• Internet Computing
• +2 more

Professor Marios Dikaiakos is a faculty member at the University of Cyprus Department of Computer Science, where he also served as Head of Department (2010-2014) and founded the Centre for Entrepreneurship (2014-2021). He holds a Ph.D. and M.A. in Computer Science from Princeton University and a Dipl.-Ing. in Electrical Engineering from the National Technical University of Athens. His research focuses on Cloud Computing systems performance and dependability, and Online Social Network analysis. Research Interests: Professor Dikaiakos leads the Laboratory for Internet Computing, directing numerous EU-funded projects. His work spans network-centric systems, cloud computing infrastructure, and social media analytics, with over 160 peer-reviewed publications. Recent work explores energy efficiency in edge computing and misinformation detection in polarized media environments. Publication Trends: His recent articles show a strong focus on sustainable computing, edge AI systems, and social media analysis, with emerging work on LLM ethics and industrial IoT. Methodologies include benchmarking frameworks, federated learning, and unsupervised NLP techniques applied to large-scale datasets. Collaborations & Labs: As Principal Investigator of the Laboratory for Internet Computing, he oversees multiple research projects and has held visiting positions at Rutgers University, Université de Paris Cité, and National Technical University of Athens. He serves as Associate Editor for Springer's Computing journal.

Stephen BlottView profile

Associate Professor

• Unix/Linux systems
• Computer networks
• Container technologies
• +2 more

Stephen Blott is an Associate Professor at the School of Computing, Dublin City University. He holds a BSc in Computing Science from Glasgow University and a PhD from the same institution. Previously, he worked as a Senior Research Associate at ETH Zurich and as a Principal Investigator at Bell Labs in New Jersey. His research focuses on Unix/Linux systems, computer networks, container technologies, DevOps, and educational tools for computer science. Key areas include operating system optimization, network security protocols, container orchestration, and pedagogical innovations in computer science education. Publications show consistent focus on network security, data management, and computational efficiency. Recent work emphasizes internet infrastructure, privacy-preserving technologies, and biomedical informatics, with strong methodological foundations in simulation and algorithm design.

• Database Systems
• Virtual Reality Applications
• Digital Humanities
• +4 more

Yannis Ioannidis is a Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. His research spans interdisciplinary areas including database systems, virtual reality applications, and cultural heritage technology. He leads projects integrating technology with education, art, and social sciences, such as VR environments for urban planning (ARSINOE VR) and AI-driven scientific discovery frameworks. His work emphasizes collaborative tools for digital storytelling and participatory cultural experiences. Ioannidis has contributed to advancements in database query optimization, text exploration through SQL extensions (DETEXA), and indexing techniques for data lakes. His recent focus includes exploring the intersection of tabletop role-playing games with historical education and ethical AI-human coevolution. He actively participates in initiatives like the EBRAINS infrastructure for brain research and the MagicARTS social VR project. Notable research trends in his publications include leveraging VR for immersive learning, designing hybrid museum kits, and applying AI to support UN Sustainable Development Goals. His work bridges technical innovation with societal impact, addressing challenges in education, art preservation, and ethical technology use.

• Natural Language Processing
• Computer Vision
• Deep Learning
• +3 more

Dr. Vimal Kumar Kumar serves as a Research Fellow at the University of Limerick's Department of Computer Science and Information Systems, affiliated with Lero – the Irish Software Research Centre. His academic career includes prior faculty positions as Assistant Professor at Jaypee University of Information Technology (2009-2022) and Lecturer at SRM Institute of Science and Technology (2007-2009), followed by a Postdoctoral Researcher role at University College Dublin (2022-2023). His educational background includes: PhD in A Novel sense based Hindi to Tamil machine translation system from Jaypee Institute of Information Technology (2019) Masters from Anna University Chennai (2005-2007) Bachelor from PSG College of Technology (2000-2004) Dr. Kumar's research centers on Natural Language Processing with specialized focus on machine translation for Indian languages (Hindi, Tamil), text summarization, and sentiment analysis. He extends this work into computer vision applications for medical imaging and activity recognition, plus deep learning implementations for IoT-based agricultural monitoring. His methodology frequently addresses challenges in low-resource language processing and develops optimized neural network architectures for mobile deployment. Analysis of his publication trends reveals consistent interdisciplinary innovation, particularly in healthcare applications (retinal disease detection), agricultural technology (crop yield prediction), and social media analytics. His work demonstrates strong emphasis on practical AI solutions for resource-constrained environments and underrepresented linguistic communities, often leveraging generative models and contextual embeddings. Dr. Kumar actively contributes to Lero's research initiatives, aligning his technical work with UN Sustainable Development Goals through software solutions addressing global challenges in health, food security, and digital inclusion.

Ritu ChaturvediView profile

Associate Professor

• Data Mining
• Predictive Modeling
• Educational Data Mining
• +5 more

Ritu Chaturvedi is an Associate Professor at the School of Computer Science, University of Guelph. Her research focuses on data mining and predictive modeling with applications in educational technology, e-commerce, and social media analysis. She holds a faculty position emphasizing interdisciplinary approaches to computational challenges in learning systems and digital environments. Her research interests span Intelligent Tutoring Systems (ITS) Educational Data Mining Sentiment Analysis Recommendation Systems Natural Language Processing Machine Learning Methodologies Recent work includes developing algorithms for personalized learning systems, analyzing social media sentiment during global health crises, and enhancing cross-platform e-commerce recommendations. Her publications demonstrate expertise in data-driven solutions for instructional design, consumer behavior modeling, and privacy policy optimization. Advising focuses on graduate students exploring adaptive learning technologies and data integration strategies. Her lab's projects often involve open-source implementations of recommendation engines and educational analytics frameworks.

John NordinView profile

Adjunct Professor

• Argumentation Theory
• Critical Thinking
• Public Speaking
• +6 more

John Nordin is an Adjunct Professor in the Department of Communication Studies at the University of Minnesota, where he has taught for 16 years. His academic work spans Argumentation theory Critical thinking pedagogy Public speaking Ancient and modern Greek studies Biblical studies Project management . He holds a Ph.D. in Transportation Systems from MIT and an M.Div. from Pacific Lutheran Theological Seminary. His research interests focus on interdisciplinary connections between communication, religion, and technology. He has published analytical work on Iranian politics, theological treatises on worship practices, and technical papers on computer graphics and database design. His personal website maintains resources on Greece, including the Plaka website Philhellenic Perspective newsletter . Teaching is enriched by global experience: Led study abroad programs in Greece Worked as a Lutheran pastor in Iowa and Colorado Teaching Computer Science at University of Nairobi Project management in IT . He integrates travel, cultural analysis, and technical expertise into his courses. Publications include: Co-authored textbook on critical thinking Articles on Iranian politics Technical papers on sulfur emissions and airport operations Theological works on hymnody and worship reform . His creative writing includes a historical novel about ancient Greece and poetry.

Dongsheng LuoView profile

Assistant Professor

• Data Mining
• Deep Learning
• Natural Language Processing
• +5 more

Dr. Dongsheng Luo is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). He holds a Ph.D. in Information Science and Technology from Pennsylvania State University (2022) and a B.Eng. in Computer Science and Technology from Beihang University (2017). His research focuses on developing interpretable AI tools for complex data analysis, particularly in graph mining, deep learning, and natural language processing, with applications in neuroscience, healthcare, and environmental systems. Education: 2022: Ph.D., Penn State University 2017: B.Eng., Beihang University His research interests emphasize explainable AI, robust graph neural networks, and multimodal integration. Recent work includes frameworks for medical plan generation, causal discovery, and flood forecasting. He investigates methods to enhance model reliability and transparency, such as confidence-aware explanations and fidelity evaluation. Collaborations span biomedical informatics, climate science, and IoT systems. Publications highlight contributions to graph explainability, time series analysis, and molecular modeling. His work bridges theoretical advances with practical applications in healthcare, environmental monitoring, and communication systems.