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Syed Hassan ShahView profile

Adjunct Professor

• Wireless Networks
• Cyber-Physical Systems
• Smart Cities
• +7 more

Dr. Syed Hassan Shah is a distinguished adjunct faculty member at California State University, Fullerton's Department of Computer Science, where he teaches graduate-level courses. Concurrently, he serves as a Wi-Fi connectivity subject matter expert and Product Director for Short Range Technologies at Quectel Inc., and previously held roles as Product Manager for Mobile & Compute Connectivity at Qualcomm Inc., focusing on Mi-Fi, CPE, and UWB technologies. Ph.D. in Computer Science & Engineering, Kyungpook National University, South Korea (2013-2017) BS in Computer Science, Kohat University of Science & Technology, Pakistan (2007-2012) Dr. Shah's research spans interdisciplinary domains in Wireless Communications , Cyber-Physical Systems , and Smart Cities , with significant contributions to Vehicular Networks , Internet of Things , and Future Internet Architectures . His recent publications demonstrate expertise in Neural Networks , Optimization Theory , and Security & Privacy applications. Scientific recognition includes: Qualcomm Innovation Award (2016) IEEE Senior Member (2018) ACM Distinguished Speaker (2018) Best Research Contribution Award (Brain Korea, 2016) Multiple travel grants from ACM and IEEE KNU Honors Scholarship (2013) Dr. Shah actively contributes to academic governance as: Editorial Board Member for 60+ special issues in top-ranked journals TPC Member for 100+ international conferences including IEEE Globecom and ACM MobiHoc IEEE Vehicular Technology Society Board appointee (2018-2019)

Asif KarimView profile

Lecturer

• Machine Learning
• Health Informatics
• Blockchain Applications
• +7 more

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.

Jing AiView profile

Professor

• Insurance Markets
• Behavioral Insurance
• Risk Management
• +5 more

Jing Ai is a Professor of Finance, Risk Management and Insurance at the Shidler College of Business, University of Hawaii at Manoa, where she holds the First Insurance Company Distinguished Professorship. She serves as Director of the Ph.D. Program and Faculty Advisor for the Insurance & Risk Management Track. Her academic credentials include a PhD in Risk Management and MS in Information, Risk, and Operations Management from the University of Texas at Austin (2008), and a BS in Finance from Tsinghua University (2003). Research Focus: Professor Ai's interdisciplinary research spans insurance markets, behavioral economics, regulatory frameworks, and quantitative risk modeling. Key areas include: Behavioral dynamics in insurance decision-making Enterprise risk management optimization techniques Advanced fraud detection methodologies Longevity risk and retirement solutions Cyber risk contagion modeling Efficiency in insurance operations Her work integrates actuarial science, finance, and behavioral economics to address contemporary challenges in risk transfer mechanisms. Publication Analysis: Her 15 most recent publications (2009-2022) demonstrate consistent focus on insurance market efficiency, behavioral anomalies in risk-taking, and innovative risk quantification methods. Dominant themes include fraud detection systems (healthcare, financial), behavioral contract design, enterprise risk interdependencies, and specialized risk transfer solutions (cyber, weather, longevity). Methodologies range from theoretical modeling to empirical data analysis using advanced statistical techniques. Awards & Honors: Most Outstanding Journal Article Award - Society of Actuaries (2016) Spencer L. Kimball Writing Award - NAIC (2015) Shidler Faculty Fellow (2012-2014) Shirley M. Lee Research Award (2011) Hagen Family Foundation Award (2009) Academic Leadership: As Ph.D. Program Director, she oversees graduate research development in finance and risk management. Advises students in the Insurance & Risk Management specialization, developing curriculum that bridges theoretical frameworks and industry applications. Teaches core courses including Principles of Insurance, Enterprise Risk Management, and Insurance/Risk Management graduate seminars.

David StevensView profile

Assistant Professor

• Cybersecurity
• Information Technology
• Network Security
• +7 more

David Stevens is an Assistant Professor in the Department of Business, Legal, and Technology Education at the University of Hawaii, where he actively contributes to cybersecurity and information technology education. He serves as the Point of Contact (POC) for the Center of Academic Excellence in Cyber Defense (CAE-CD), highlighting his role in promoting national standards in cyber defense education. His research and teaching focus on cybersecurity , encompassing network security, incident response, forensics, cloud database technology, and secure programming practices. He integrates hands-on learning through project-based courses and internships, preparing students for real-world IT challenges. Stevens teaches a comprehensive curriculum ranging from introductory digital tools and Python programming to advanced topics such as cyber attacks and defense, network security, and incident response. His course portfolio reflects a strong emphasis on practical skills and applied cybersecurity knowledge. He is involved in workforce development through internship courses and project management training, supporting student readiness in the IT sector. His leadership in the CAE-CD program underscores institutional recognition of his contributions to cybersecurity education.

Rajesh GanesanView profile

Associate Professor

• Cybersecurity
• Healthcare Operations
• Transportation Systems
• +6 more

Rajesh Ganesan is an Associate Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. His research focuses on applying advanced mathematical and computational methods to solve complex decision-making problems under uncertainty across multiple critical domains including cybersecurity, healthcare, defense, and transportation systems. His research interests span cybersecurity operations, healthcare resource allocation, transportation systems optimization, stochastic optimization, and reinforcement learning. Ganesan's work addresses fundamental challenges in sequential decision-making under uncertainty, with applications ranging from cybersecurity analyst scheduling to liver transplant allocation and air traffic management. His research has significant implications for national security, public health, and transportation efficiency. His publication record demonstrates consistent contributions to high-impact journals and conferences, with recent work focusing on cybersecurity operations centers (CSOCs), adaptive resource allocation, deception technologies, and healthcare optimization. His research methodology combines stochastic optimization, approximate dynamic programming, and reinforcement learning to tackle complex real-world problems. Teacher of Distinction Award, Center for Teaching Excellence ISERC Best Track Paper Award, National Security Track Faculty Study Leave, GMU Provost Office Multiple U.S. Patents in process control and manufacturing Best Paper Awards in air transportation and security domains Ganesan has successfully mentored PhD and Master's students including Poornima Balakrishna (recipient of the INFORMS Best Dissertation Award) and Sameer Kulkarni (recipient of the Transportation Research Board Graduate Research Award). His research has been funded by the National Science Foundation, Department of Defense, NIH, and other agencies, addressing critical challenges in security operations, healthcare systems, and transportation networks. His laboratory work centers around the Center for Secure Information Systems and the Center for Air Transportation Systems Research (CATSR), where he develops computational frameworks for dynamic resource allocation in complex adaptive systems.

Qicheng YuView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Cyber Security
• +1 more

Dr. Qicheng Yu is an Associate Professor (Enterprise) at the School of Computing and Digital Media, London Metropolitan University. As Subject Standard Board Chair of Computer Science and Applied Computing, he leads the Data Analytics MSc and Information Technology (Distance Learning) MSc programs. His research spans AI, cyber security, and big data, with a focus on practical applications in education, finance, and urban development. His research interests include Artificial Intelligence , Machine Learning , and Cyber Security , with projects ranging from fraud detection to student performance prediction. Recent work highlights multimodal data analysis for fake review detection and data dashboard development for business intelligence. Fellow of the Higher Education Academy (FHEA) Member of Data Science Association and Cyber Security Systems Research Centre Recipient of Innovate UK grants (2022: £131,296; 2019: £19,200; 2015: £115,000) He supervises PhD students in data science and AI , while contributing to cross-disciplinary initiatives like the Empowering London Lab and SME cyber security clinics.

• Simulation-Based Optimization
• Industry 4.0
• Production Engineering
• +4 more

Amos H. C. Ng is a Professor at the School of Engineering Science, University of Skövde, specializing in simulation-based optimization and Industry 4.0 technologies. His research bridges production engineering with human-robot collaboration, ergonomics evaluation, and cloud-based cyber-physical systems for manufacturing efficiency. Key Affiliations: University of Skövde (School of Engineering Science), Uppsala University (Industrial Engineering and Management) Research Themes: Multi-objective optimization, Digital Twin frameworks, Human-centric production systems, Reconfigurable manufacturing, Throughput bottleneck analysis Projects: ACCURATE 4.0 (Knowledge Foundation), VF-KDO (Virtual Factories with Knowledge-Driven Optimization), EWASS (Wire Harness Assembly Optimization) His recent publications demonstrate expertise in applying evolutionary algorithms, machine learning models, and digital human modeling tools to solve complex manufacturing problems ranging from crankshaft machining to wood supply chain robustness. Current work integrates motion capture technology with DHM tools for objective ergonomic assessments in assembly stations. Amos collaborates extensively with industrial partners like Volvo Penta and academic institutions, utilizing simulation-based approaches to enhance decision-making in production systems. His methodological focus includes non-dominated sorting genetic algorithms, surrogate modeling, and parallel computing architectures for optimization tasks.

• Civil Law
• Family Law
• Inheritance Law
• +5 more

Carolina Mesa Marrero serves as a Professor in the Department of Basic Legal Sciences at the University of Las Palmas de Gran Canaria's School of Law. Her academic work focuses on Civil Law within the Branch of Knowledge of Social and Legal Sciences. She maintains an active research and teaching profile, supervising numerous undergraduate and master's students through their thesis work. Professor Mesa Marrero's research spans multiple critical areas within civil law, with particular expertise in family law, inheritance law, legal capacity, and guardianship. Her work addresses contemporary legal challenges including digital assets in inheritance, protection of minors, rights of persons with disabilities, and personality rights in the digital age. She has demonstrated consistent scholarly activity through her supervision of student research projects across these domains. Her recent publications and supervised theses reveal a strong trend toward examining how traditional civil law frameworks adapt to modern societal challenges. Her work connects historical legal concepts with contemporary issues like digital inheritance, assisted reproduction law, and the impact of international conventions on domestic guardianship systems. This interdisciplinary approach bridges civil law with technology, human rights, and social welfare considerations. Professor Mesa Marrero has been instrumental in guiding the next generation of legal scholars and practitioners. She has supervised twenty doctoral theses from 2018-2023, working with students on topics ranging from domestic violence in inheritance contexts to digital personality rights. Her mentorship extends across both undergraduate and master's level programs at the University of Las Palmas de Gran Canaria.

Timothy HenryView profile

Associate Professor

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +3 more

Dr. Timothy Henry serves as Associate Professor in the Department of Computer Science and Information Systems at Rhode Island College's School of Business, leveraging 40+ years of cross-sector experience in academia, industry, and military service. He pioneered Rhode Island's first undergraduate Artificial Intelligence major and two AI minors while establishing critical cybersecurity infrastructure including a state-of-the-art cyber range for hands-on training. His educational credentials include: Ph.D. in Applied Mathematical Sciences from University of Rhode Island Master's in Computer Science from Old Dominion University Bachelor's in Mathematics from U.S. Coast Guard Academy Dr. Henry's research integrates theoretical and practical dimensions of Artificial Intelligence, Cybersecurity, and Machine Learning with emphasis on secure systems implementation. His work consistently bridges foundational computer science concepts with societal implications, particularly through ethical frameworks for emerging technologies. This dual focus manifests in both curriculum development and award-winning scholarly publications addressing real-world security challenges. His textbook publications demonstrate evolving expertise from core data structures to contemporary AI ethics, with consistent recognition for educational impact. The progression from algorithmic foundations to societal implications reflects his holistic approach to computing education, emphasizing both technical rigor and responsible innovation. Major honors include: TAA Excellence Award nomination (2025) for AI security textbook Consecutive TAA awards (2018-2019) for data structures and ethics textbooks McGuffey Longevity Award for sustained educational impact As academic lead for Rhode Island's Governor's AI Task Force and Higher Ed AI Policy Task Force, Dr. Henry shapes statewide technology strategy while developing next-generation educational infrastructure. His industry leadership in government healthcare projects translates directly into classroom applications through the cyber range facility. He directs the Institute for Cybersecurity & Emerging Technologies while advancing practical training through the cyber range facility. His task force leadership connects academic research with state policy development, creating pathways for student engagement in real-world AI implementation challenges.

Andreas JohannsenView profile

Professor

• System development and integration
• Business application systems
• Value-oriented corporate management
• +12 more

Prof. Dr. Andreas Johannsen is a Professor of System Development and Integration at the Brandenburg University of Technology (FH Brandenburg) in Germany. He serves as the Managing Director of the Institute for Business Application Systems (IBAW) and has been actively involved in teaching, research, and industry collaboration since joining the university in 2006. His academic journey includes an MBA from the University of Edinburgh (1993-1994) and Business Administration studies at Eberhard Karls University Tübingen (1991-1993). Prior to his academic career, he accumulated substantial industry experience at SAP Deutschland, Mummert Consulting, and KPMG Consulting/BearingPoint, bringing practical insights to his academic work. Member of the IPv6 Council at the Hasso-Plattner-Institute since 2014 Board member of the Computer Science Department Conference (2014-2016) Managing Director of the Institute for Business Application Systems since 2011 Practical Affairs Representative for Business Informatics since 2009 Professor Johannsen's research spans system development and integration, business application systems, and value-oriented corporate management with particular focus on telecommunications and energy supply industries. His recent work emphasizes IT-Governance, Risk and Compliance Management (IT-GRC) for small and medium enterprises, sustainable logistics solutions using machine learning, and security challenges in digital cooperation. His publication pattern reveals consistent contributions across multiple domains with recent emphasis on: ERP system implementation methodologies and evaluation IT security frameworks for resource-constrained organizations Machine learning applications for sustainable logistics optimization Cloud computing and cooperative business models for SMEs API security and IoT security vulnerabilities Digital sovereignty concerns in business contexts Professional Contributions Professor Johannsen has led numerous research projects including the development of the reference model 'Service- and Cloud-Oriented Architectures for Storage Management' (DICAS) with Berliner Verkehrsbetriebe (BVG) in 2017, Business Process Management implementation with Brandenburg's Central IT Service Provider (2013-2014), and multiple studies on ERP system performance in various business contexts. Teaching and Academic Leadership He has taught a wide range of courses including Information Management, ERP Reporting, Project and Risk Management, and Value-Oriented IT Management. His teaching approach integrates theoretical foundations with practical applications, drawing from his extensive industry experience. He has served in various academic leadership roles including program director for Business Informatics master's and bachelor's programs and as a member of the department council. Research Infrastructure Professor Johannsen leads the 'Process Integration and ERP Systems' competence field which maintains ERP laboratories at FH Brandenburg featuring various ERP installations, particularly SAP and Microsoft systems. This infrastructure supports hands-on teaching and applied research on enterprise systems implementation and integration.

Mesut ŞöhretView profile

Associate Professor

• International Relations
• Turkish Foreign Policy
• International Law
• +7 more

Mesut Şöhret is an Associate Professor at Gaziantep University's Faculty of Economics and Administrative Sciences, Department of International Relations, specializing in Turkish foreign policy, migration studies, and geopolitical security. His academic career spans faculty positions at Gaziantep University since 2012, including roles as Department Chair and Dean's Assistant. PhD in International Relations from Kocaeli University (2014) MA in International Relations from Cyprus International University (2009) His research focuses on the intersection of climate change, migration, and security, with significant contributions to understanding Turkey's geopolitical positioning. Recent work examines Arctic security implications of global warming, Syrian refugee dynamics in the EU, and the impacts of industrial automation on labor markets. His publications demonstrate a multidisciplinary approach bridging international law, political science, and environmental studies. Professor Şöhret has supervised 14 master's theses on topics ranging from cyber intelligence to migration push factors in Syria. His editorial work includes serving as editor for Gaziantep University Journal of Social Sciences since 2018. Current teaching responsibilities include Migration Policies, Geopolitics, and International Security Theories at both undergraduate and graduate levels.

• Security
• Theoretical Computer Science
• Formal Methods
• +7 more

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

• Cybersecurity
• Cognitive Science
• Human Factors
• +3 more

Benjamin James Knox serves as an Adjunct Associate Professor at the Norwegian University of Science and Technology (NTNU), with his work based at the Gjøvik campus. His research bridges cybersecurity with cognitive science, focusing on human factors in cyber defense operations. He maintains an active research profile with numerous publications through NTNU's institutional repository. Dr. Knox's research interests center on the intersection of human cognition and cybersecurity, with significant contributions in cognitive agility for cyber operators, neuroergonomic approaches to threat identification, and the psychological dimensions of cyber warfare. His work explores how cognitive processes, emotional states, and team dynamics influence cyber situational awareness and decision-making in high-stakes environments. Recent research has expanded into extended reality training environments, individual risk assessment for cybersecurity personnel, and the application of digital twins for critical infrastructure protection. His publication record demonstrates consistent output across multiple high-impact venues including Frontiers in Education, IEEE Access, and Lecture Notes in Computer Science. Dr. Knox frequently collaborates with researchers across European institutions, particularly in Norway, Lithuania, and Germany, indicating strong international research networks. His work with NATO Science and Technology Organization highlights the strategic relevance of his research to defense applications. While specific laboratory affiliations aren't detailed in the available information, his publications suggest involvement with cyber defense simulation environments and neuroergonomic testing facilities. His recent focus on extended reality and digital twin technologies indicates engagement with advanced simulation platforms for cybersecurity training.

• Psychological Counseling Education
• School Psychological Counseling
• Smartphone & Social Media Addiction
• +5 more

Associate Professor Ahmet Rıfat Kayiş is a faculty member at Kastamonu University, Faculty of Education, Department of Guidance and Psychological Counseling, serving full-time since 2021. Previously he held positions as Doctoral Instructor (2018-2021) and Research Assistant (2010-2017) at Kastamonu and Anadolu Universities. Education PhD in Guidance and Psychological Counseling, Anadolu University (2013-2017) MSc in Guidance and Psychological Counseling, Anadolu University (2011-2013) BSc in Educational Sciences, Sakarya University (2006-2010) Research Interests Dr Kayiş’s scholarship centers on Psychological Counseling Education and School Psychological Counseling . His empirical work spans the psychosocial impacts of digital technologies—particularly smartphone and social-media addiction—on youth, families, and romantic relationships. Additional foci include resilience, mindfulness, multicultural competence, and the psychological sequelae of the COVID-19 pandemic. Publication Trends Across 48 publications, a clear trajectory emerges: early meta-analytic and scale-adaptation studies on personality and internet addiction (2013-2016) evolved into sophisticated mediation analyses examining smartphone addiction, loneliness, and mental health during the pandemic (2020-2023). Recent work increasingly incorporates resilience, hope, and positive-psychology constructs to inform prevention-oriented counseling interventions. Scientific Awards TÜBİTAK Article Performance Award (2022) Multiple Article Performance Awards (2021, 2016, 2015) Projects & Leadership Principal or senior researcher in six funded projects (UN/World-Bank/UNESCO, TÜBİTAK, BAP) on themes ranging from multicultural teacher competencies to university-student mental-health promotion. He has coordinated international students (2020-) and served as Department Chair (2020-2021). Laboratory & Professional Networks Dr Kayiş collaborates extensively with colleagues at Yıldız Technical, Sakarya, and Anadolu Universities, and maintains active membership in the American Counseling Association and the Turkish Psychological Counseling and Guidance Association.

Wen HuView profile

Professor

• Cyber-physical systems
• Internet of Things
• Sensor network systems
• +3 more

Professor Wen Hu is a distinguished academic at the School of Computer Science and Engineering at the University of New South Wales (UNSW), where he holds a professorship focusing on cutting-edge research in cyber-physical systems and the Internet of Things (IoT). With extensive experience in both academia and industry, Professor Hu has established himself as a leading researcher in sensor network systems, low-power communications, security, and compressive sensing. His work bridges theoretical research with practical applications, as evidenced by his active commercialization efforts through roles as Chief Technology Officer at Parking Spotz and former Chief Scientist at WBS Tech. Professor Hu's research interests span multiple domains within cyber-physical systems and IoT. His work particularly focuses on low-power wireless communications , sensor network security , compressive sensing techniques , and novel applications of IoT technologies . His research group explores how these technologies can be applied to solve real-world problems in areas such as smart buildings, environmental monitoring, and human-computer interaction. The research integrates hardware design, communication protocols, security mechanisms, and data analytics to create efficient and robust IoT systems. Professor Hu's publication record demonstrates a consistent focus on advancing the state-of-the-art in wireless sensor networks and IoT. His recent work shows increasing integration of machine learning techniques with traditional sensor systems, exploring applications in areas ranging from healthcare monitoring to agricultural technology. There's a clear trend toward more sophisticated signal processing approaches, particularly using mmWave technology and visible light communications, while maintaining the core focus on energy efficiency and security that has characterized his earlier work. CSIRO Office of Chief Executive (OCE) Julius Career Award (2012-2015) Professor Hu has successfully secured multiple research grants from the Australian Research Council, CSIRO, and industry partners, enabling his team to pursue ambitious research projects with both theoretical significance and practical applications. His editorial leadership as Editor-in-Chief of ACM TOSN and organizational roles in major conferences like CPS-IoT Week 2020 and ACM/IEEE IPSN 2023 demonstrate his significant contributions to the research community. As a senior member of both ACM and IEEE, he actively mentors students and early-career researchers while fostering collaborations across academia and industry. Professor Hu leads a vibrant research group at UNSW that combines theoretical research with practical implementation. His team works closely with industry partners to ensure research relevance and facilitate technology transfer. The group maintains strong connections with international research communities and participates in collaborative projects that address global challenges in IoT and cyber-physical systems.