Find Academic Supervisors

• Supply Chain Management
• Business Statistics
• Supply Chain Resilience
• +3 more

Saban Adana is an Assistant Professor in the Department of Management, Marketing, and Supply Chain at the Boler College of Business, John Carroll University. His expertise spans Supply Chain Management and Business Statistics, leveraging 14 years of military logistics experience including international service at SHAPE Headquarters in Mons, Belgium. Originally from Eskisehir, Turkey, he integrates real-world operational insights into his academic work and is an avid soccer player. Dr. Adana's research centers on supply chain resilience, risk propensity in contract selection, performance-based contracting, and machine learning applications. His work bridges Transaction Cost Economics and Goal-Setting Theory with practical supply chain challenges, emphasizing organizational structure impacts and post-pandemic recovery strategies. He prioritizes translating theoretical frameworks into actionable industry solutions for enhanced supply chain robustness. Analysis of his publication record reveals consistent focus on decentralization's role in resilience, reliability growth in logistics contracts, and trust mechanisms in international trade. His recent work examines machine learning for predictive analytics while exploring e-waste reduction through performance-based contracting. Recurring themes include organizational adaptability during disruptions and the interplay between contractual design and supply chain robustness. Dr. Adana has not received any scientific awards as per available information. Details regarding student advising and research grants are not documented in current sources, though his military background suggests potential mentorship in operational logistics contexts. No dedicated research laboratories or specialized teams are mentioned in association with Dr. Adana's current academic role.

Arthi ManoharView profile

Senior Lecturer

• Human–Computer Interaction
• Inclusive Design
• Participatory & Co-design
• +5 more

Dr Arthi Manohar is a Senior Lecturer in Design at Brunel University London and serves as Programme Director for the BSc Product Design degree within Brunel Design School, College of Engineering, Design and Physical Sciences. Since joining Brunel in 2018 she has led multiple undergraduate and master-level modules, championed Equality, Diversity & Inclusion, and secured significant EPSRC research funding. Education PhD Digital Product Design, University of Dundee (2017) MA Architecture and Digital Media, University of Westminster (2009) BArch Architecture, National Institute of Technology, India (2007) FHEA (Fellow of the Higher Education Academy), 2021 Research Interests Arthi’s research lies at the intersection of social design and emerging technology . She investigates participatory, inclusive and co-design approaches to Human–Computer Interaction, privacy and trust in the Internet of Things, and the application of AI to accessibility and health technologies. Her work emphasises human values, cross-cultural perspectives and ethical considerations in technology design. Recent funded projects include Trust in Home: Rethinking Interface Design in IoT (EPSRC HDI Network Plus) and From Understanding Privacy and Trust to Re-visualising TAPESTRY (EPSRC Sandpit). She collaborates across disciplines with partners such as the University of Nottingham, University of Kent, Royal Holloway and industry partners like LoomiAssist Ltd. Publications & Scholarly Service Arthi has published extensively in top-tier venues such as DRS, DIS, British HCI, Multimedia Tools & Applications, IEEE Transactions on Services Computing and CHI Workshops. Since 2020 she has served as Equality, Diversity & Inclusion Champion for the Department of Design and has held programme-committee roles for British HCI 2021, DIS 2019 and IndiaHCI 2019. PhD Supervision & Teaching She currently supervises four doctoral researchers exploring antimicrobial resistance design, stigma in assistive technology, virtual production and user engagement. At undergraduate and masters levels she leads modules on Interaction & UX Design, Digital Design Prototyping, Professional Practice and Design Communication, and has mentored over a dozen master dissertations on inclusive design, AI/AR retail experiences and speculative futures.

Kwame Porter RobinsonView profile

Assistant Professor

• Community-Based Economies
• Digital Sustainability
• Generative Justice
• +5 more

Kwame Porter Robinson serves as Assistant Professor of Technology, Information Systems and Analytics at Wayne State University, where he develops community-based economic systems through co-designed AI and automation. His work bridges academic research with practical applications in digital sustainability and generative justice, informed by prior experience as a Department of Defense data scientist and NGO consultant. His educational background spans technical and creative disciplines: Ph.D. in Information, University of Michigan (2024) M.S. in Computer Science, University of Maryland (2012) B.S. in Electrical Engineering (honors), New Mexico State University (2008) B.F.A. in Graphic Design (magna cum laude), Boston University (2002) Research focuses on decolonial computing and community economies , examining how human-AI collaboration can create unalienated labor systems in artisanal contexts. His methodology emphasizes bottom-up technology co-design with communities, particularly evident in Detroit-based artisan studies and blockchain implementations for economic empowerment. Publications since 2019 reveal accelerating focus on computational reparations and generative justice, with recent work exploring fractal scaling in AI governance and worker-owned AI ecosystems. Key themes include decolonial transitions, circular value flow, and environmental sustainability in crafting economies. Scientific recognition includes: Rackham Merit Fellowship (2019-2024) with multiple research grants AWS Cloud Credits for Research (2019) Best Student Talk award for ethical AI (2023) National Intelligence Meritorious Unit Citation (2012) Teaching includes Business Information Systems and Blockchain & CyberSecurity courses, reflecting his industry-academia synthesis. While specific grant details beyond Rackham awards aren't provided, his DoD background and AWS credits indicate strong industry partnerships. Collaborative work with scholars like Ron Eglash demonstrates interdisciplinary team engagement in justice-oriented computing initiatives.

Hao YeView profile

Assistant Professor

• Machine Learning
• Wireless Communications
• AI Applications
• +4 more

Hao Ye is an Assistant Professor in Electrical and Computer Engineering at the University of California, Santa Cruz (UCSC). Previously, he worked as a Machine Learning Researcher at Qualcomm AI Research before transitioning to academia. His research focuses on integrating machine learning methodology into communication networks, particularly for applications involving edge devices such as autonomous vehicles. PhD in Electrical and Computer Engineering, Georgia Institute of Technology His research interests center on wireless communications, AI-driven network optimization, and signal processing for vehicular networks. He explores deep learning applications in channel estimation, resource allocation, and end-to-end communication systems, emphasizing adaptability in unreliable environments. Key trends in his publications include: Advancing Massive MIMO systems with data-driven approaches Developing graph neural networks for wireless resource management Integrating reinforcement learning into vehicular network spectrum sharing Proposing pilot-free end-to-end communication frameworks using deep learning Investigating federated learning in decentralized wireless architectures Applying meta-learning to networked AI systems Scientific contributions include being invited as an Editor for IEEE Transactions on Wireless Communications in 2024. He actively mentors PhD students and collaborates with researchers like Le Liang, Geoffrey Ye Li, and Shi Jin. Recent team announcements include welcoming Jing Qiao in September 2024, reflecting ongoing growth in his research group focused on machine learning and wireless systems.

• Artificial Intelligence
• Distributed Computing
• Energy Communities
• +3 more

Rafael Duarte Pereira da Silva is a Research Fellow at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) within the School of Engineering of the Polytechnic Institute of Porto. He is currently pursuing his doctoral degree in Artificial Intelligence and Intelligent Systems Engineering while developing AI-driven solutions for energy communities and smart buildings. His academic background includes: Master's degree in Artificial Intelligence Engineering (2025) from the Polytechnic Institute of Porto, with a dissertation on "Distributed Intelligent Management of Citizen Communities" (grade: 19/20). Bachelor's degree in Computer Engineering (2022) from the Polytechnic Institute of Porto, featuring a green computing project for smart building energy management. Currently enrolled in a doctoral program in Artificial Intelligence and Intelligent Systems Engineering (since 2025). Rafael's research spans Artificial Intelligence, Distributed Computing, and Energy Communities, focusing on human-centric intelligent systems for resource optimization. He develops virtual energy communities using IoT devices and AI models to enable dynamic interaction with community members while managing distributed resources. His work emphasizes sustainability through green computing principles and integration of renewable energy sources in smart infrastructure. His 2024-2025 publications reveal a cohesive research trajectory centered on the Caravels framework for decentralized energy management. Key themes include container-based infrastructure for community resource sharing, peer-to-peer energy trading with storage optimization, and AI-driven demand response systems. His work bridges theoretical AI models with practical IoT implementations, particularly in energy forecasting and HVAC control, demonstrating significant contributions to sustainable consumption in smart buildings and community-scale energy systems. Advising Co-supervised three undergraduate thesis projects at the Polytechnic Institute of Porto on IoT notification systems, Linux-based single-board computer configuration, and open-source IoT devices for smart buildings. Grants and Projects Sa4CPS: Secure situational awareness for critical cyber-physical systems (COMPETE2030-FEDER and ITEA) NGS: New Generation Storage (PRR initiative) TIoCPS: Trustworthy and Smart Communities of Cyber-Physical Systems (P2020 and ITEA programs) As an active GECAD member, Rafael contributes to server infrastructure management and organizes scientific events, including public demonstrations that secured the group's "Excellent" FCT evaluation rating. He has coordinated annual team energizing events for two consecutive years and participated in developing virtual energy community systems that showcase GECAD's research impact in distributed computing and IoT integration.

Robert KlemmensenView profile

Professor

• Political Behavior
• Political Psychology
• Behavioral Genetics
• +4 more

Robert Klemmensen is Professor and Assistant Head of Department at Lund University's Department of Political Science, where he coordinates research activities. He is a member of the LU Profile Area: Natural and Artificial Cognition, an interdisciplinary initiative exploring cognition from biological and computational perspectives. His work examines how genetic and psychological factors shape political behavior using advanced quantitative methods. Klemmensen's research focuses on: Voter opinion formation and behavioral alignment with stated preferences Genetic influences on political attitudes through twin studies Quantitative text analysis of political rhetoric Machine learning applications in political ideology detection Normative implications of empirical findings in democratic systems His publications demonstrate consistent focus on genetic-behavioral interactions in politics, with recent work incorporating computational methods like deep learning for facial analysis and natural language processing. Article clusters examine: (1) heritability of political traits, (2) methodological innovations in text analysis, and (3) cross-disciplinary connections between political science and genetics. He currently co-edits Political Psychology and Research and Politics , and serves on the Independent Research Fund Denmark. Klemmensen leads the research project 'Divided Parliaments? Polarization, Moralization, and the Risk of Gridlock' (2024-2027), funded by the Bank of Sweden Tercentenary Foundation, examining governance challenges in polarized environments. Within Lund University's Natural and Artificial Cognition profile area, he collaborates with computer scientists and cognitive researchers to develop interdisciplinary approaches to political behavior analysis.

Marcelo Corrales CompagnucciView profile

Associate Professor

• Legal Issues in Data Spaces
• Cloud Computing
• Internet of Things
• +19 more

Marcelo Corrales Compagnucci is an Associate Professor and Associate Director at the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), Faculty of Law, University of Copenhagen. He specializes in IT law, data protection, and legal aspects of emerging technologies like AI, blockchain, and biomedical innovation. He holds affiliate status with Harvard Law School's Petrie-Flom Center and has held visiting positions globally. Education: Doctor of Laws (LL.D.), Kyushu University (2017) LL.M. in International Economic and Business Law, Kyushu University (2014) LL.M. in European Intellectual Property Law, Stockholm University (2009) LL.M. in Law and Information Technology, Stockholm University (2006) Research Focus: Marcelo's work bridges law and disruptive technologies, addressing data governance, AI ethics, privacy frameworks, and innovation in biomedicine. His research spans legal informatics, cybersecurity, and the socio-legal implications of digital transformation across health, industry, and society. Publication Trends: Recent articles (2025) emphasize ethical governance of AI in healthcare, EU cybersecurity regulations, data-sharing barriers in precision medicine, and decolonizing digital health. Common themes include equity, policy design, and adaptive legal frameworks for emerging technologies. Awards & Fellowships: Research Fellowships: Max Planck Institute (2015, 2017), Academia Sinica (2019) Robert Cooter Prize for Law & Economics (2018) Best Paper Award - UK e-Science (2011) EU Research Award of Excellence (2014) Projects & Collaborations: Marcelo leads/contributes to Horizon Europe projects including TENACITy (counter-terrorism AI ethics), CLASSICA (AI in cancer surgery), and MobiSpaces (data spaces for green mobility). He co-organizes workshops on legal-ethical challenges in health data environments. Affiliations: Heads research teams at CeBIL (Copenhagen) and collaborates with Harvard's Petrie-Flom Center. Previously associated with Leibniz Universität Hannover, Cambridge University, and University of Edinburgh.

Xiaojun CaoView profile

Professor

• Optical Networks
• Wireless Networks
• Network Security
• +3 more

Dr. Xiaojun Cao is a faculty member at the Andrew Young School of Policy Studies, Georgia State University, specializing in optical and wireless network architectures, protocols, and security. His research addresses challenges in bandwidth scalability, network survivability, and future Internet design through innovations in multi-granular switching, traffic grooming, and cross-layer interactions. B.S., Engineering Physics, Tsinghua University, 1996 M.S., Electrical Engineering, Chinese Academy of Sciences, 1999 Ph.D., Computer Science and Engineering, State University of New York at Buffalo, 2004 His work spans three core areas: Optical Network Optimization : Developing waveband switching frameworks for backbone networks, focusing on multi-layer architectures and performance evaluation. Network Survivability : Designing proactive and reactive strategies for protection and restoration in optical and wireless systems. Edge Network Security : Advancing secure service function chain deployment in multi-vendor and zero-trust environments. Recent research trends highlight his leadership in Network Functions Virtualization (NFV) , Edge Computing , and AI-Driven Networking , with publications on blockchain-based federated learning, prompt chain deployment, and asymmetric protection mechanisms. His work bridges theoretical rigor with practical applications in 5G/6G, UAV networks, and smart infrastructure. Dr. Cao leads a research group exploring optical-wireless convergence and has contributed to foundational studies in network virtualization and traffic management.

• Digital Forensics
• Cybersecurity
• Incident Response
• +5 more

Professor Vasilis Katos is a Professor in Cyber Security at Bournemouth University, specializing in digital forensics, incident response, and intellectual property security. With over 160 publications and extensive industry experience as an Information Security Consultant, he serves as an expert witness in criminal courts in both the UK and Greece. His research has significant impact in digital forensics for intellectual property infringement investigations through collaborations with the EU Intellectual Property Office (EUIPO) and UNICRI. Professor Katos holds a Diploma in Electrical Engineering from Democritus University of Thrace, an MBA from Keele University, and a PhD in Computer Science (network security and cryptography) from Aston University. He is a certified Computer Hacking Forensic Investigator (CHFI) with extensive practical experience in cybersecurity. His research primarily focuses on digital forensics and incident response, with recent emphasis on intellectual property infringement investigations, IoT security, blockchain applications, and traffic prediction systems. His work bridges academic research with practical security applications, particularly in intellectual property protection and smart city security frameworks. Professor Katos has coordinated significant research projects including Illegal IPTV in the European Union and IP Infringement on online trading platforms, funded by the EUIPO Observatory. His extensive publication record shows strong trends in digital forensics, cybersecurity for intellectual property protection, IoT security, and increasingly in smart city security frameworks. The research demonstrates a progression from foundational cybersecurity work to specialized applications in intellectual property protection and circular economy security models, with recent incorporation of AI and machine learning techniques for threat intelligence and traffic prediction. Certified Computer Hacking Forensic Investigator (CHFI) Editorial Board Member of Computers & Security Journal Professor Katos has successfully supervised multiple PhD students including Amalia Damianou (Digital Forensics in Smart, Circular Cities), Christos Iliou (Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots), and Mohammed Al Qurashi (Intrusion Detection for IoT). He has secured significant research funding including the ECHO project (European network of Cybersecurity centres), IDEAL-CITIES, and multiple EUIPO-funded initiatives focusing on intellectual property protection. His work connects with the Centre for Intellectual Property Policy & Management (CIPPM) at Bournemouth University, where he contributes to research on intellectual property in emerging technologies. Professor Katos maintains active collaborations with international organizations including UNICRI and the EU Intellectual Property Office, focusing on practical applications of digital forensics in intellectual property protection.

Shen-Shyang HoView profile

Professor

• Machine Learning
• Data Mining
• Artificial Intelligence
• +7 more

Shen-Shyang Ho is a Full Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His work spans machine learning, data mining, and edge computing with applications in urban mobility, precision agriculture, and data privacy. He leads NSF-funded research projects on dynamic graph analysis and spatiotemporal anomaly detection. Ph.D. in Computer Science, George Mason University Post-Doctoral Associate, Caltech & NASA JPL B.S. in Mathematics with Computational Science, National University of Singapore Research expertise includes graph-based machine learning, conformal prediction, cooperative inference, and privacy-preserving ML. Current work focuses on federated learning for edge devices and anomaly detection in evolving systems. He has developed tools like SplitTracer for cooperative inference evaluation and ParkGauge for urban mobility monitoring. Recent publications highlight his contributions to 2026 Pattern Recognition journal (martingale-based graph analysis), 2025 IEEE ICAIC conference (blockchain gas optimization), and 2024 ACM SAC symposium (shared mobility systems). His work integrates machine learning with real-world constraints across energy grids, transportation, and agricultural technology. NSF Grant (2022) for Dynamic Graph Anomaly Detection NSF Grant (2018) for Spatiotemporal Analysis Google Scholar Classic Paper Recognition (2017) for 2006 Radar Micro-Doppler Study Professional memberships include the Association for Computing Machinery (ACM). His teaching portfolio ranges from introductory programming to advanced ML courses. He previously held positions at Nanyang Technological University before joining Rowan in 2016.

• Software Engineering
• Internet of Things (IoT)
• Cryptography
• +4 more

Dr. Bassam Al-Shargabi serves as a Senior Lecturer in Software Engineering at Cardiff School of Technologies, Cardiff Metropolitan University. His academic credentials include a PhD in Computer Information Systems (2009) and an MSc in Computer Information Systems from AABFS (2004). His research focuses on critical intersections of technology and security: Lightweight encryption methods for resource-constrained IoT healthcare devices Innovative DNA-based cryptographic techniques Blockchain technology applications in auditing systems E-learning platform adoption in educational contexts Dr. Al-Shargabi's scholarly contributions demonstrate a consistent trajectory in developing secure, efficient solutions for emerging technological challenges, particularly in healthcare environments. His work bridges theoretical computer science with practical implementations to address real-world security concerns in increasingly connected systems. He actively participates in the academic community as a guest editor and technical program committee member for international conferences and leading journals. His publications appear in prestigious venues from major publishers including Elsevier, IEEE, Springer, and ACM, reflecting the quality and relevance of his research contributions.

Stephan LeibleView profile

Researcher

• Employee-driven (Digital) Innovation
• Intrapreneurship
• Employee Engagement
• +2 more

Stephan Leible is a Researcher at the Department of Computer Science , University of Hamburg (MIN Faculty). Holding both M.Eng. in Business Engineering and an MBA, he focuses on employee-driven digital innovation, intrapreneurship, and leveraging generative AI for organizational transformation. Research Interests : Employee-driven Innovation, Intrapreneurship, Generative AI Governance, Design & Data Thinking, IT Innovation Management Contact : stephan.leible@uni-hamburg.de | Room 117C, Vogt-Kölln-Straße 30, Hamburg His work bridges citizen development with public sector innovation, emphasizing value co-creation, real-time analytics, and ethical AI implementation. Current studies explore: Generative AI adoption patterns and limitations Interpretable machine learning for urban mobility Participatory frameworks for smart city futures Methodologies for continuous improvement in conversational agents

Raymond ChengView profile

Researcher

• Security
• Privacy
• Distributed Systems
• +5 more

Raymond Cheng is a Researcher and blockchain lecturer with a focus on security, privacy, and distributed systems. He earned his Ph.D. in Computer Science from the University of Washington and holds degrees in Physics, Electrical Engineering, and Computer Science from MIT. His research spans blockchain scalability, privacy-preserving protocols, and decentralized infrastructure. Key projects include Kariba Labs , MASQ Foundation , and Open Source Observer , where he works on tools for public goods funding, secure smart contracts, and open-source analytics. Raymond's publications highlight advancements in blockchain-based databases (FalconDB), confidential smart contracts (Ekiden), and privacy-preserving messaging (Talek). His work often intersects with internet freedom and secure, scalable systems. He co-founded multiple organizations, including the Decentralization Institute and Public Goods Foundation , and has been featured in Forbes , Wired , and MIT Technology Review for his contributions to privacy and blockchain innovation.

• Edge-Cloud Computing
• Resource Optimization
• Applied Machine Learning
• +5 more

Jia Hu is an Associate Professor in Computer Science at the University of Exeter. He holds a PhD in Computer Science from the University of Bradford (2010), and M.Eng/B.Eng degrees in Electronic Engineering from Huazhong University of Science and Technology. His research specializes in edge-cloud computing, federated learning, and AI-driven optimization for networks and IoT systems. Research Interests: Hu's work spans resource optimization, applied machine learning (particularly in distributed settings), network security, blockchain integration, and intelligent systems for electric vehicles and Industry 4.0. His recent projects focus on federated edge AI, 6G-enabled industrial IoT, and real-time federated learning via hardware-algorithm co-design. Publications: His 150+ papers emphasize federated learning, edge computing, and reinforcement learning applications. Recent works (2020–2025) show a strong trend toward optimizing AI at the network edge, with themes like digital twins, blockchain security, and EV-integrated systems dominating. Awards & Recognition: Best Paper Awards: IEEE SOSE'16, IUCC'14 Outstanding Service & Leadership Awards for IEEE conferences Top 4% contributor to EPSRC Peer Review Fellow of the Higher Education Academy (HEA) Grants & Projects: Secured €4.7M+ funding from EU Horizon, EPSRC, and Royal Society for projects including: SAILING (Secure AI for Smart Internet-of-Energy, €3.6M) REFINE (Real-time Air Quality Monitoring with UAVs, €897K) SustainAIRA6G (Energy-Efficient AI for 6G Networks, £118K) Advising: Supervised 12 PhD students to completion; currently mentoring 7 students in federated learning, edge computing, and AIoT.

Chen FengView profile

Associate Professor

• Information Theory
• Coding Theory
• Blockchain Technology
• +4 more

Chen Feng is an Associate Professor in the Department of Electrical Engineering at the School of Engineering, University of British Columbia (UBC), Okanagan campus. He holds the Tier-2 Principal's Research Chair in Blockchain and serves as the Co-Cluster Lead for Blockchain@UBC. Dr. Feng joined UBC in July 2015 after completing postdoctoral fellowships at Boston University and EPFL. Dr. Feng received his B.Eng. degree from Shanghai Jiao Tong University in 2006, and his M.A.Sc. and Ph.D. degrees from the University of Toronto in 2009 and 2014, respectively. Dr. Feng's research focuses on the intersection of information theory, coding theory, and blockchain technology. His work spans several key areas including: Information and Coding Theory for wireless communications Blockchain and distributed ledger technologies Quantum communications and cryptography Cloud computing optimization and analysis Stochastic analysis of distributed systems His recent research output demonstrates a strong trajectory in blockchain consensus protocols, private information retrieval, and the application of information theory to distributed systems. Dr. Feng has been actively publishing in top-tier venues with a focus on improving the performance, security, and scalability of blockchain systems. Dr. Feng has received several prestigious awards including: Best Paper Award at IEEE MSN (2021) Tier-2 Principal's Research Chair Award (2020) Visiting Fellow Scholarship at the University of Melbourne (2019) Emerging Professor Award from UBC-Okanagan School of Engineering (2017) Teaching Excellence Award (2017/18) As a graduate student supervisor, Dr. Feng teaches a range of courses from undergraduate to graduate levels, with a particular emphasis on blockchain technologies, wireless communications, and advanced engineering topics. He serves as a Senior Research Consultant for Subspace Labs and a Scientific Consultant for Creative Destruction Lab, bridging academic research with industry applications. Dr. Feng leads the Blockchain@UBC initiative, which focuses on advancing blockchain research and applications across multiple domains including clean energy, distributed systems, and secure communications.