جست‌وجوی استاد و پژوهشگر

Mazdak Zamaniمشاهده پروفایل

دانشیار

• Cybersecurity
• Artificial Intelligence
• Digital Watermarking
• +۵ مورد دیگر

Dr. Mazdak Zamani is an Associate Professor of Cybersecurity and Associate Dean of Computer Science and Cybersecurity at Felician University , NJ. He earned his PhD in Computer Science from Universiti Teknologi Malaysia in 2011. His research focuses on Cybersecurity and Artificial Intelligence , with publications spanning video watermarking , IoT authentication , mobile cloud security , and digital forensics . His recent work addresses heterogeneous device authentication and optimized steganography for secure data transmission. 2019 : Video watermarking performance evaluation, data mining for energy systems 2018 : LSB image steganalysis, spatial domain watermarking 2017 : Botnet forensics, illumination normalization for face recognition 2016 : Mobile cloud authentication, image/video watermarking techniques At Felician, he teaches Network Security , Digital Forensics , and Advanced Cryptography . Previously, he served as a Senior Lecturer at Universiti Teknologi Malaysia and as an Assistant Professor at Wenzhou-Kean University .

• Artificial Intelligence
• Biometrics
• Security Systems
• +۵ مورد دیگر

Kingsley Nwosu is an Associate Professor in the Department of Computer Science at Norfolk State University's College of Science, Engineering and Technology. His research spans artificial intelligence, biometric systems, and security frameworks, with a focus on healthcare, campus safety, and low-resource environments. Email: kcnwosu@nsu.edu Research Themes: AI-driven emotion recognition and facial recognition systems Biometric authentication for security and privacy Blockchain applications in e-voting and data integrity Urban mobility optimization via embedded systems Public policy evaluation for social enterprises Data partitioning strategies for machine learning Publication Trends: His work since 2012 highlights interdisciplinary applications of AI and biometrics in healthcare, security, and economic development, with recent emphasis on scalable solutions for developing economies and proactive cybersecurity measures.

• Computer Science Education
• Human-Computer Interaction
• E-Learning
• +۱۳ مورد دیگر

Dr Nigel Beacham is a Senior Lecturer in the Department of Computing Science within the School of Natural and Computing Sciences at the University of Aberdeen. He currently serves as the Director of Education for the School and Acting Head of Computing Science, reflecting his leadership in academic governance and educational innovation. With over 25 years of experience, he is a leading figure in Computer Science Education and Human-Computer Interaction, particularly in inclusive pedagogies and assistive technologies for learners with specific learning difficulties. His research focuses on e-pedagogies for inclusion , digital inclusion , and the development of adaptive learning systems that consider learner personality, cognitive styles, and emotional states. He investigates how educational technologies can support adult learners with dyslexia and dyscalculia, and is currently exploring the role of inclusive practices in cloud-based security systems. His interdisciplinary collaborations span fields such as educational psychology, teacher education, and civil engineering. Dr Beacham’s recent publications demonstrate a consistent focus on adaptive learning , collaborative group dynamics , and affect-aware educational systems . His work frequently appears in international venues such as ED-MEDIA, JORSEN, and Computing and Education. He has contributed to the development of influential tools like DyslexSim and Dyscalculium , and has secured research grants such as the 'Developing NQTs E-Pedagogies for Inclusion' project. He is actively involved in the Part Time and Short Cycle Higher Education (PT&SCHE) initiative. CEng (Chartered Engineer) MBCS (Member of the British Computer Society) CITP (Chartered IT Professional) MIScT CSci (Chartered Scientist) SFHEA (Senior Fellow of the Higher Education Academy) Dr Beacham supervises undergraduate and postgraduate student projects and has coordinated numerous courses including Principles of Software Engineering and Human-Computer Interaction. He has held key administrative roles such as Postgraduate Director and admissions tutor for MSc programmes in Artificial Intelligence and Information Technology. He is a journal reviewer for AACE JILR and reviews funding proposals for RUK. His lab and team collaborations include work with Prof. Judith Masthoff and others on adaptive systems and inclusive education.

Asif Karimمشاهده پروفایل

مدرس

• Machine Learning
• Health Informatics
• Blockchain Applications
• +۷ مورد دیگر

Dr. Asif Karim is a Research Active Lecturer in the Department of Information Technology at the Faculty of Science and Technology, Charles Darwin University, Australia. He has been a full-time lecturer since August 2021, following a sessional role from 2018 to 2021. Prior to his current position, he served as a lecturer at Daffodil International University and Uttara University in Bangladesh. His research focuses on the application of machine intelligence in health informatics and blockchain technologies. He has significant industry experience in Software Engineering and actively supervises postgraduate research students. Machine Learning Health Informatics Blockchain Applications Smart Contracts Deep Learning Anomaly Detection The recent publications of Dr. Karim span a diverse range of applications in artificial intelligence, particularly in healthcare and secure computing. His work includes developing efficient deep learning models for medical diagnosis, privacy-preserving classification of diseases from medical images, and anomaly detection in cybersecurity. He also explores applications in mobile cloud computing and agricultural technology, demonstrating a broad interdisciplinary approach to solving real-world problems using machine learning. Dr. Karim actively contributes to research projects and supervises postgraduate students. He led the project "Machine Learning Diagnostics System for Bronchiectasis" and has extensive experience in teaching undergraduate and postgraduate courses in computer science, including Machine Learning, Operating Systems, and Software Engineering. He is involved in organizing academic events, such as a digital awareness workshop for rural indigenous communities, reflecting his commitment to community engagement and technology outreach.

• Cloud computing
• Cybersecurity
• Software engineering
• +۹ مورد دیگر

Pål Halvorsen is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. He works at the intersection of computer science and applied domains, with a particular focus on multimedia systems, distributed computing, and healthcare applications. Specializes in distributed multimedia systems Active in AI-driven forensic psychology applications Conducts research on medical imaging and diagnostics Develops sports analytics datasets and tools Works on communication and distributed systems His research spans several key areas of computer science, particularly focusing on multimedia systems and their applications in healthcare, sports analytics, and forensic psychology. He leads projects involving AI-driven child avatars for investigative interview training, develops datasets for medical and sports applications, and explores innovative approaches to image analysis and time-series data processing. Recent publications demonstrate strong activity in applying computer vision and deep learning to medical diagnostics, particularly in gastrointestinal tract analysis and ophthalmology. His work on sports analytics includes creating comprehensive datasets for ice hockey and soccer, while his forensic psychology research focuses on AI-enhanced interview training for child abuse investigations. Halvorsen collaborates extensively across disciplines, working with researchers in psychology, medicine, and sports science. His projects often involve developing novel tools for data analysis, including approaches to multimodal data handling, visual deep learning verification, and AI-enhanced prompt generation techniques.

• Computer Networking
• Bio-inspired Computing
• Network Management
• +۶ مورد دیگر

William Donnelly is a professor at Waterford Institute of Technology in Waterford, Ireland, with a distinguished research career spanning over three decades. His work demonstrates a clear evolution from traditional telecommunications and network management to bio-inspired computing approaches, and more recently to precision agriculture applications and computer graphics. His primary research interests focus on Computer Networking , Bio-inspired Computing , and Precision Agriculture . Early in his career, he specialized in telecommunications management networks (TMN) and service management. He then pioneered work applying biological concepts like chemotaxis and quorum sensing to networking problems, developing bio-inspired routing protocols and service management frameworks. In the 2010s, his research shifted toward precision agriculture applications, particularly dairy farming, where he applied wireless sensor networks, fog computing, and edge analytics to monitor animal behavior and optimize farming practices. Most recently, he has transitioned into computer graphics, focusing on real-time rendering techniques with publications in 2023-2024 on spatiotemporal sampling methods. Analysis of his publication trends reveals a researcher who consistently identifies emerging technological challenges and applies innovative cross-disciplinary approaches to solve them. His work demonstrates remarkable adaptability, moving from telecommunications standards to biological metaphors, then to agricultural technology applications, and finally to computer graphics - always maintaining a focus on optimization, efficiency, and practical implementation. Throughout his career, Donnelly has maintained strong collaborative relationships, particularly with Sasitharan Balasubramaniam and Dmitri Botvich, with whom he has co-authored numerous papers exploring bio-inspired networking approaches. His recent collaborations in computer graphics include Alan Wolfe, Judith Bütepage, and Jon Valdés.

• Semantic Web
• Internet of Things
• Ontology Reasoning
• +۵ مورد دیگر

Floriano Scioscia is a researcher at the Polytechnic University of Bari, Department of Electrical Engineering and Information Technology, with extensive contributions to the Semantic Web, Internet of Things, and knowledge-based systems. His work focuses on developing frameworks for semantic reasoning, resource discovery, and intelligent systems in ubiquitous computing environments. His research interests span multiple domains within computer science: Semantic Web technologies and ontology reasoning Internet of Things and Cyber-Physical Systems Cloud-Edge computing architectures Knowledge representation and semantic matchmaker systems Mobile and ubiquitous computing applications Analysis of his recent publications (2023-2025) reveals a strong focus on edge-based semantic reasoning, with significant work on the Tiny-ME and Cowl frameworks for lightweight OWL reasoning on resource-constrained devices. His research has increasingly incorporated blockchain technologies into IoT systems and explored the concept of "Internet of Conscious Things" with social capabilities for smart objects. The interdisciplinary nature of his work bridges computer science with healthcare applications, particularly in clinical decision support systems. Dr. Scioscia has collaborated extensively with researchers including Michele Ruta, Eugenio Di Sciascio, Giuseppe Loseto, and Filippo Gramegna across numerous projects spanning more than 15 years of research output.

Ünal ÇAVUŞOĞLUمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۶ مورد دیگر

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.

Oh Jin Kwonمشاهده پروفایل

استاد

• Image Processing
• Image Coding
• Digital Watermarking
• +۷ مورد دیگر

Professor Oh Jin Kwon is a faculty member in the Department of Electronic Engineering at Sejong University since 1999. His research focuses on image/video analysis, compression algorithms, image quality enhancement, fusion techniques, watermarking, and steganography. He has developed patented algorithms for region adaptive image coding, image watermarking, backward compatible HDR image coding, and progressive image coding. Education: Ph.D. in Electrical and Computer Engineering from University of Maryland, College Park (1994) M.S. in Electrical Engineering from University of Southern California, Los Angeles (1991) B.S. in Electronic Engineering from Hanyang University, Seoul (1984) His extensive research includes image processing , watermarking , and cyber resilience . Recent publications explore deep learning applications in cybersecurity , image coding standards , and 360-degree imaging . His work has been published in Electronics (Switzerland) , Applied Sciences (Switzerland) , Drones , and other journals. Scientific Awards & Grants NSF Grant 91-00655 DACA 76-92-C-0079 DACA 76-89-C-0019 DACA 76-92-C-0009 Professor Kwon has advised numerous PhD and MS students in areas like Point Cloud Coding , JPEG Privacy & Security , and AI-based image coding . He leads research projects funded by institutions including the Korea Aerospace Research Institute and Electronics and Telecommunications Research Institute . His laboratory, the Video Communication Research Lab , focuses on JPEG systems standards , image security , and smart store technologies . Current research includes operator-friendly interface technology for unmanned vehicles and composite material cultural heritage data encryption.

• Educational Leadership
• Online Learning
• School Assessment
• +۳ مورد دیگر

Robin Henrikson serves as an Associate Professor and Director of Assessment at Seattle Pacific University's School of Education. With extensive experience in educational leadership and assessment, she plays a key role in shaping the academic direction and quality assurance within the School of Education. Dr. Henrikson's educational background includes: Ph.D. from Seattle Pacific University (2012) Master of Education in Educational Leadership from Seattle Pacific University (2006) Bachelor of Arts from Western Washington University (2000) Her research focuses on educational leadership, online learning environments, school assessment practices, and teacher development . Dr. Henrikson has established herself as a thought leader in the intersection of educational technology and leadership development, particularly examining how digital platforms can enhance learning communities and professional collaboration. Her work consistently addresses practical challenges faced by educational institutions, with a particular emphasis on school board governance and superintendent evaluation frameworks. Dr. Henrikson's publication record demonstrates a sustained commitment to improving educational practices through evidence-based research. Her recent work shows a progression from foundational studies on online learning engagement to more complex investigations of school board dynamics and leadership development. A notable trend in her scholarship is the consistent focus on practical applications of research findings to real-world educational settings, with particular attention to assessment methodologies and leadership development frameworks. As Director of Assessment, Dr. Henrikson oversees the evaluation frameworks and quality assurance processes within the School of Education, ensuring academic excellence and alignment with accreditation standards. While specific grant information isn't detailed in the available materials, her research on community-level needs assessments and pilot program implementation suggests experience with educational research funding.

• Analytics
• Statistics Education
• Operations Research
• +۴ مورد دیگر

Concetta A DePaolo serves as Chair & Professor in the Marketing and Operations Department at Indiana State University's Scott College of Business. Holding a Ph.D. in Operations Research from Rutgers University (2001), she specializes in bridging analytics with business education through innovative teaching methodologies. Her research spans Statistics Education, Business Analytics, and Educational Technology, with notable contributions including the STAT-MAPS learning platform and real-world case studies like Save the Vino and Disney World wait time analyses. She develops practical applications using Excel and Tableau for cost estimation, housing market visualization, and healthcare analytics. Dr. DePaolo's scholarly impact is reflected in 25+ journal articles in publications like Journal of Statistics Education and British Journal of Educational Technology . Her work demonstrates consistent focus on making quantitative methods accessible through: Development of teaching datasets (Café Data series) Transactional distance research in online learning Word cloud applications for qualitative assessment Recurrent quiz systems for student engagement Her distinguished recognition includes: Caleb Mills Distinguished Teaching Award (ISU's highest honor) Faculty Recognition Awards for Teaching Excellence (2021, 2016) Professing Excellence awards annually since 2019 Journal Article Award from AECT-DDL (2015) As an active grant recipient and committee leader, she directs resources toward educational innovation while mentoring through the Master Teacher Program. Her STAT-MAPS platform continues to evolve as a key resource for statistics educators, reflecting her commitment to open educational resources and practical analytics training.