Find Academic Supervisors

Alan ReaView profile

Professor

• Agile Methods
• Digital Forensics
• Internet of Things
• +4 more

Dr. Alan Rea is a Professor of Business Information Systems at Western Michigan University (WMU), affiliated with the Haworth College of Business. He holds a Ph.D. from Bowling Green State University. His teaching focuses on Information Security, Risk Management, CyberEthics, Linux, and Digital Forensics, emphasizing free and open-source software in coursework. He co-directs WMU’s cybersecurity programs and actively participates in academic and industry security working groups. His research explores secure system development, organizational information assurance, and risk management, particularly in cloud services, IoT devices, and mobile applications. He frequently engages with media as a cybersecurity expert and has published widely in journals like the Journal of Information Systems Security and Communications of the ACM. His work also addresses legal challenges in digital forensics, privacy in virtual environments, and innovative pedagogical approaches. Rea’s contributions include developing frameworks such as the Secure Cloud Internetwork Model with Economic and Social Incentives (SCIMES) and the Layered Virtual Reality Commerce System (LaVRCS). He advocates for integrating technology with community health, exemplified by initiatives like the Smart Consumer-Empowered Diabetes Education System (SCEDES).

• Supply Chain Management
• Logistics
• Green Shipping
• +5 more

Kee-hung Lai is a distinguished Professor in the Department of Logistics and Maritime Studies at Hong Kong Polytechnic University's Faculty of Business, with an extensive publication record spanning over 18 years and 56 indexed publications. His research has consistently focused on supply chain management, logistics operations, and the intersection of information systems with business processes. Dr. Lai's research interests center around Supply Chain Management , Logistics Innovation , Green Shipping , and Digital Transformation in Maritime Operations . His recent work shows an increasing emphasis on sustainability topics, particularly examining how digital technologies can enable greener shipping practices and more resilient supply chains. His research employs both quantitative and qualitative methodologies, often applying theoretical frameworks from operations management, information systems, and strategic management to address practical business challenges. Analysis of his 15 most recent publications reveals a strong trajectory toward sustainability-focused research, with nearly half of his 2023-2025 work examining green innovation, circular economy principles, and environmental sustainability in logistics and shipping contexts. His publications appear consistently in top-tier journals including IEEE Transactions on Engineering Management, Decision Support Systems, and Information Systems Frontiers, demonstrating both breadth and depth across multiple research domains. Dr. Lai has established productive research collaborations with scholars worldwide, most notably with Xitong Guo (20 co-authored publications), T.C.E. Cheng (15 co-authored publications), and Xiaofei Zhang (10 co-authored publications), indicating strong research team leadership capabilities. His work demonstrates significant practical implications for logistics service providers, shipping companies, and supply chain managers seeking to implement sustainable practices while maintaining operational efficiency. The integration of digital innovation with traditional logistics operations represents a particularly promising research direction that continues to evolve in his recent publications.

• Machine Learning
• Network Security
• Protocol Analysis
• +4 more

Dr. Sen Zhao is a Professor at Chongqing University of Posts and Telecommunications, School of Computer Science, Department of Network Engineering. His research spans machine learning applications for network security, protocol analysis, and computational fluid dynamics with biomedical applications. His primary research interests include Machine Learning, Network Security, Protocol Analysis, Computational Fluid Dynamics, Fault Diagnosis, Optimization Algorithms, and Biomedical Engineering. Dr. Zhao has developed innovative approaches for binary protocol reversing using deep learning with knowledge-driven augmentation, multi-modal contrastive learning for vulnerability code representation, and reputation incentive schemes for edge tampering detection. Analysis of his recent publications (2021-2025) reveals a strong focus on applying deep learning techniques to network security challenges, with particular emphasis on protocol analysis, device fingerprinting, and secure query processing. His work bridges theoretical machine learning advances with practical security applications in networking and IoT environments. The interdisciplinary nature of his research is evident in his computational fluid dynamics work applied to biomedical problems. Dr. Zhao has mentored numerous students including Jiayuan Li, Zhen Wang, Bo Sun, Yi Zhao, and Haoyu Bin, who appear as first authors on significant publications. His collaborative network includes prominent researchers like Hongsong Zhu, Limin Sun, and Maya R. Gupta across multiple institutions.

Roger LirelyView profile

Professor

• Tax Policy
• Taxpayer Rights and Litigation
• Flow-Through Entities
• +5 more

Dr. Roger Lirely is a Professor of Accounting and Department Chair of Accounting, Finance, and Business Law at The University of Texas at Tyler since 2010. Previously, he served as Department Head of Accounting, Finance, and Economics at Western Carolina University and chaired Assurance of Learning committees for their College of Business. He holds a D.B.A. from Southern Illinois University, an M.S. in Accountancy from DePaul University, and a B.A. in Chemistry from Illinois Wesleyan University. His research interests focus on taxpayer rights, litigation, flow-through entities, tax policy, and corporate tax equity. Notable work includes analyses of IRS administrative fairness, unauthorized data disclosures, and the impact of tax reform acts. He also explores broader topics like board independence, savings behavior under SOX, and presidential influence on global markets. Teaching emphasizes taxation and accounting principles. His publications span journals like Oil, Gas, and Energy Quarterly , Seton Hall Law Review , and Academy of Accounting and Financial Studies Journal . Outside academia, he enjoys baseball, cooking, and movies.

Dimitar JovevskiView profile

Professor

• Digital Marketing
• Social Media Marketing
• Search Engine Optimization
• +4 more

Dimitar Jovevski is a Full Professor and Chair of E-business at the Department of E-Business, Faculty of Economics, Ss Cyril and Methodius University in Skopje, North Macedonia. He has served the institution since 2008, earning his MSc in 2011 and PhD in 2014 from the same faculty. His educational background includes: PhD in Economics (2014, Faculty of Economics-Skopje) MSc in Economics (2011, Faculty of Economics-Skopje) Professor Jovevski specializes in digital marketing and e-business with core expertise in Social Media Marketing (Facebook, Instagram, Google advertising), Search Engine Optimization, Digital Sales Funnels, and Digital Analytics. His research examines Big Data Analytics and AI adoption in Macedonian SMEs, e-commerce security, and pandemic-driven digital transformation. He actively consults for companies and start-ups to enhance their digital growth strategies. His publication trends reveal consistent focus on North Macedonia's business landscape, with recent works analyzing ChatGPT in accounting, digital transformation productivity, and SME technology adoption. The research demonstrates strong empirical grounding in local business contexts while addressing global digital marketing challenges. Teaching over 200 students annually, he delivers undergraduate courses in Digital Marketing and Social Media Marketing, alongside postgraduate instruction in Internet Marketing Tools and Applications. His professional engagement includes active profiles on Google Scholar, ORCID, and ResearchGate for disseminating academic contributions.

• Corporate Governance
• Board Diversity
• Financial Performance
• +4 more

Alireza Vafaei is a Lecturer in Accounting at La Trobe University's Department of Accounting, Data Analytics, Economics and Finance within the La Trobe Business School. His expertise spans accounting principles, financial systems, and data analytics tools like Power BI/Tableau. He holds a PhD in Accounting from RMIT University and a Graduate Certificate in Higher Education from La Trobe University. Research focuses on corporate governance (board diversity, director incentives), financial performance metrics, environmental sustainability, and intellectual capital reporting. Notable studies include examining board composition impacts on Australian firms and gender diversity's role in innovation. He has secured over AU$48,000 in competitive research grants, including major awards from La Trobe Business School and AFAANZ. Certifications include Chartered Accountant (CA ANZ), advanced Excel qualifications, and payroll services credentials. He is fluent in English and Persian, with professional proficiency in peer reviewing academic work. Available to supervise Master's/PhD students in accounting-related research areas.

Ika IdrisView profile

Associate Professor

• Social Media Analytics
• Government Communication
• Disinformation & Misinformation
• +4 more

Ika Idris is an Associate Professor at Monash Indonesia specializing in social media analytics and public policy. Previously, she served as Director of Research at Paramadina Public Policy Institute (2019-2021) and Assistant Professor at Paramadina Graduate School of Communication (2009). Her work focuses on government communication strategies, digital policy frameworks, and mitigating disinformation. She has consulted for Indonesian government agencies, including the Jakarta Provincial Government and the Ministry of Communication and Informatics, designing public communication curricula and evaluating service delivery systems. Education: PhD in Media Arts and Studies from Ohio University (2019) Key Research Areas: Social media analytics, government communication, disinformation mitigation, and public policy implementation Her research has explored hate speech detection via NLP, pandemic narrative framing, and cross-cultural media literacy comparisons. She leads projects like the ASEAN Disinformation Index and climate resilience communication initiatives. Awards include the Fulbright Scholarship and the first international fellowship in Texas State University's PhD Digital Bootcamp. Major Projects: ASEAN Disinformation Index (2022), Climate Resilience Communication (2023), Monash Global Reputation Enhancement (2023) Advising: Open to PhD students focusing on digital governance and public policy Labs/Teams: Collaborates with SMARTLab (Ohio University) and Monash Indonesia's policy research units. Current focus includes geopolitical security forums and digital literacy training for ASEAN officials.

Abdelmalek BouazzaView profile

Professor

• Geotechnical Engineering
• Environmental Geotechnics
• Waste Containment
• +5 more

Professor Abdelmalek Bouazza is a renowned academic in Geotechnical Engineering at Monash University's Department of Civil and Environmental Engineering. He holds dual roles as a Professor and Registered Engineer, specializing in Geosynthetics and Environmental Geotechnics. His international reputation is underscored by prestigious awards, including the IGS Gold Medal and Telford Premium Prize. Professor Bouazza leads cutting-edge research in waste containment systems, landfill engineering, and geothermal energy solutions. He has contributed to over 394 publications and secured major grants, including projects on energy piles and microplastic containment in landfills. Education: Ingenieur d'Etat, Genie Civil, Ecole Nationale Polytechnique d'Alger, Algeria PhD in Geotechnical Engineering, University of Glasgow, UK Research Interests: Bouazza’s work focuses on advancing geosynthetic technologies for environmental protection, including landfill liner systems, geothermal energy extraction, and sustainable infrastructure. His research bridges theoretical models with practical applications, addressing global challenges like waste management and carbon footprint reduction. Key Contributions: He pioneered guidelines for Victorian landfill standards, advising on over 30 landfill designs globally. His leadership roles in international committees (ISSMGE, IGS) and editorial boards amplify his influence. Recent projects include developing advanced containment systems for Antarctica and thermal analysis of energy piles. Awards: Over 16 major awards, including Honorary Life Membership in ACIGS (2021), IGS Chapter Service Award (2022), and the Malek Bouazza Lecture (2023). Grants & Projects: Leads ARC-funded initiatives like 'Resilient Design of Energy Piles' and 'Microplastics in Landfills.' Collaborates on Smart Transport Pavements via SPARC Hub. Labs/Teams: Involved in the Advanced Macro-scale Testing Chamber (AMTC) and National Geotechnical Centrifuge Facility.

• Structural Health Monitoring
• Machine Learning
• Data Science
• +7 more

Dr. Ali Anaissi is a Lecturer in Data Science at the School of Computer Science, University of Sydney. His research focuses on structural health monitoring (SHM) using machine learning and sensor networks to detect damage in infrastructure such as bridges and roads. He has applied these techniques to the Sydney Harbour Bridge and developed a vehicle-mounted sensor system for road condition assessment. His work emphasizes condition-based maintenance over traditional time-based approaches. He teaches courses including Principles of Data Science (COMP5310), Machine Learning and Data Mining (COMP5318), and Software Development in Java (COMP9103). His research spans structural damage detection, federated learning, tensor decomposition, and IoT applications in smart homes and healthcare. Key projects include developing a smart pothole detection system and exploring adversarial attacks in UAV services. He has authored numerous publications in journals like IEEE Transactions on Cybernetics and conferences such as IJCNN and ICDMW. His work integrates machine learning with domain knowledge to improve infrastructure safety and efficiency. Dr. Anaissi's contributions include pioneering the use of adaptive one-class SVMs in SHM and developing frameworks for privacy-preserving fitness systems. His team's sensor-driven approaches aim to transform infrastructure maintenance through real-time health scoring and automated anomaly detection.

Tim AndersenView profile

Professor

• Computer Science
• Bioinformatics
• Data Storage
• +7 more

Tim Andersen is a Professor in the Computer Science Department at Boise State University. He holds a Ph.D. in Computer Science from Brigham Young University (1999) and previously worked as Chief Scientist at IArchives, developing OCR and image processing algorithms. His research focuses on interdisciplinary areas including nucleic acid-based data storage, blockchain applications in AI, machine learning optimization, and bio-inspired computational models. Education : Ph.D. in Computer Science, Brigham Young University, 1999 Research Interests : Dr. Andersen’s work spans molecular data storage (e.g., DNA-based memory systems), computational security protocols leveraging blockchain, optimization of neural network training, and bioinformatics applications such as probe design and protein docking. He pioneered methods for encoding digital information in nucleic acids and developed algorithms for enhancing AI model trustworthiness through decentralized verification. Publications Trends : Recent work emphasizes nucleic acid memory optimization (2023–2025), blockchain integration in AI security (2023–2024), and legacy contributions to OCR algorithms and evolutionary computation (1995–2000s). His research often bridges computer science with molecular biology, addressing both theoretical and applied challenges in emerging technologies. Awards & Grants : Not explicitly listed in available texts, but his sustained contributions across multiple disciplines suggest substantial external funding and recognition in interdisciplinary computing. Advising & Curriculum Development : Co-developed the “Computer Science Professionals’ Hatchery” program, integrating inclusion/diversity initiatives into Boise State’s curriculum. Focus on preparing high-school teachers in computer science through sustainable models like IDoCode. Labs & Collaborations : Associated with Boise State’s computational biology and AI security research groups. Collaborates across disciplines to advance nucleic acid storage and blockchain-audited systems.

Michael TierneyView profile

Professor

• International Relations
• Development Policy
• Foreign Assistance
• +3 more

Michael Tierney is a Professor of Public Policy at the College of William & Mary, affiliated with the Arts & Sciences school. He holds dual roles as Co-Director of the Global Research Institute and Director of the AidData Center for Development Policy. With a B.A. from William & Mary (1987) and a Ph.D. from UC San Diego (2003), his work focuses on international development finance, policy impact, and bridging academic-research gaps. Education: B.A. William & Mary (1987), Ph.D. UC San Diego (2003) Research explores non-traditional donors like China, Saudi Arabia, and Brazil, analyzing foreign assistance effectiveness. Current projects include studying university research's policy impact and globalization through innovative beverage industry case studies. His work emphasizes methodological innovation, such as open-source data collection and participant observation techniques. Publications highlight themes like Chinese development finance, academic policy engagement, and U.S. foreign policy shifts. His research often challenges conventional narratives about 'rogue donors' and emphasizes empirical evidence in policy design. Tierney advocates for institutional reforms to align academic scholarship with real-world policy needs. Labs/Teams: Global Research Institute (Co-Director), AidData Center for Development Policy (Director). His work integrates quantitative methods with field-based research, particularly in Africa and Asia.

Anil GurungView profile

Professor

• Information Security
• Privacy Protection
• E-Commerce Trust
• +5 more

Anil Gurung is a Professor of Management Information Systems at Marshall University’s Lewis College of Business, specializing in organizational and individual practices related to information security and privacy. He holds a faculty position in the Department of Marketing, Management Information Systems, & Entrepreneurship. Prior to academia, he worked in aviation and tourism sectors. His research focuses on cybersecurity behaviors, e-commerce trust dynamics, mobile commerce adoption, and innovative teaching methodologies in database design. Key areas include cross-cultural technology use, user privacy concerns, and supply chain management in fast fashion industries. Dr. Gurung has published extensively in journals like the Journal of Global Information Technology Management and Computers in Human Behavior. His work spans over two decades, with articles addressing topics such as consumer motivations for combating spyware, trust restoration in electronic commerce, and the impact of cultural differences on IT outsourcing. He has contributed to academic service through roles in curriculum development, including advocating for workflow management systems in MIS education. Awards and honors are listed under 'Employee Awards and Honors' in his profile.

Kritagya Raj UpadhyayView profile

Assistant Professor

• Cybersecurity
• Blockchain and Smart Contracts
• Artificial Intelligence
• +4 more

Dr. Kritagya Raj Upadhyay is an Assistant Professor in the Department of Computer Science at Middle Tennessee State University (MTSU). Specializing in Blockchain and Smart Contracts , Cybersecurity , Artificial Intelligence , Data Cooperatives , and Metaverse , his research focuses on developing architectures and algorithms that address uncertainty, trust, privacy, and security in emerging technologies. Research Interests: Blockchain for Trusted Artificial Intelligence Smart Contracts Security and Scalability Data Cooperatives for Privacy Protection Metaverse Threat Modeling Fuzzy Logic in Legal Contract Interpretation Recent Publications demonstrate expertise in blockchain applications, metaverse security, and AI integration across diverse domains. His work spans Smart Contract Vulnerability Detection , Legal Contract Automation , and Secure IoT Systems . Scientific Awards : MTSU Data Science Institute Seed Grant ($5,000) - 2024 Best Research Paper Award - IEEE TPS-ISA 2023 Outstanding Ph.D. Student Award - University of North Texas 2023 NSA Innovation Award - 2021 Dr. Upadhyay mentors graduate students like Samir Poudel (Second Best Poster Awardee 2023) and teaches courses including Blockchain and Smart Contracts , Secure Software Systems , and Computer Science I at MTSU.

Leigh MutchlerView profile

Associate Professor

• Behavioral Information Security
• Cybersecurity Policy Compliance
• Information Systems Education
• +5 more

Leigh Mutchler is an Associate Professor in the Department of Computer Information Systems and Business Analytics at James Madison University's College of Business. She holds a Ph.D. and MSIS from Mississippi State University (2012), with prior teaching roles as Lecturer at the University of Tennessee (2012-2018) and Instructor at Mississippi State University (2010-2012). Her research focuses on behavioral information security, including security policy compliance, efficacy of instructional programs, and user behavior in mobile/Web systems. Teaching emphasizes experiential learning through cases, group projects, and IT skills development in information systems courses. Her work bridges behavioral psychology and cybersecurity, exploring how direct/vicarious experiences influence secure actions and how tailored messaging can improve compliance. Recent publications highlight agile frameworks in education, pandemic-era course design, and socio-cultural learning techniques. She has extensively studied self-efficacy in security training and trust dynamics in social commerce. Though no specific grants or awards are noted, her research demonstrates a strong focus on applied cybersecurity education and user-centric security strategies. No advising roles or lab affiliations are explicitly mentioned in the provided materials.

Ravi MukkamalaView profile

Professor

• Data Security
• Cloud Computing
• Distributed Systems
• +5 more

Ravi Mukkamala is a Professor & Chair in the Department of Computer Science at Old Dominion University . He holds advanced degrees including a Ph.D. in Computer Science (University of Iowa, 1987) and an MBA from Old Dominion University (1993). His research focuses on security, distributed systems, cloud computing, and real-time database systems, with notable contributions to privacy-preserving data management, blockchain applications, and UAV-based healthcare logistics. Education: Ph.D. in Computer Science, University of Iowa, 1987 M.B.A., Old Dominion University, 1993 Other in Computer Systems, Indian Institute of Technology Kanpur, 1978 B.E. in Electronics and Communications, Osmania University, 1976 Research Interests: Dr. Mukkamala’s work spans cybersecurity, blockchain technology, vehicular and UAV systems, distributed databases, and aviation software. He emphasizes practical applications like secure payment systems, privacy-preserving data mining, and automated healthcare delivery via drones. Articles Overview: His recent publications address cutting-edge topics such as blockchain-based healthcare monitoring, UAV logistics for medical supplies, and privacy-preserving machine learning techniques. Earlier work includes foundational studies on distributed databases and real-time systems security. Awards: Best Paper Awards (2008–2009) Phi Kappa Phi and Beta Gamma Sigma memberships Most Inspiring Faculty Member Award (Old Dominion University) Grants & Advising: He has led over 20 grants totaling millions, including projects on airspace systems, IT infrastructure management, and STEM education. His advisory work includes aviation software testing (e.g., TDMS) and coalition-based resource sharing. Labs & Teams: Collaborates with university and industry partners on projects involving cybersecurity, UAV systems, and distributed cloud architectures.