Find Academic Supervisors

Tianyi LiView profile

Assistant Professor

• Digital Twin
• Graph Neural Networks
• Energy Engineering
• +8 more

Tianyi Li is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on data engineering, spatiotemporal systems, and digital twins, with applications in energy, transportation, and vehicular networks. Key areas include trajectory data management, graph neural networks, compression techniques, and federated learning. He has contributed to over 37 publications, including works on digital twin frameworks for autonomous driving and smart grids, trajectory prediction systems, and efficient time series compression. His research integrates machine learning, distributed systems, and cybersecurity to address challenges in data-intensive environments. Key Projects: Digital twin-enabled voltage control, federated vehicular networks, trajectory simplification frameworks. Labs: Involved with the Daisy Center, focusing on data-centric systems and scalable solutions. Technical Expertise: Blockchain systems, energy systems optimization, and real-time data processing.

Md Tauhidur RahmanView profile

Assistant Professor

• Hardware Security
• Embedded Security
• Side-channel Analysis
• +4 more

Dr. Md Tauhidur Rahman is an Assistant Professor in the Department of Electrical and Computer Engineering at Florida International University (FIU), part of the College of Engineering and Computing. He earned a Ph.D. in Computer Engineering from the University of Florida (2017), an M.Sc. from the University of Connecticut (2015), and a B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2009). His research focuses on hardware security, embedded security, side-channel analysis, memory systems, and reliability, with funding from NSF, NSA, and CyberFlorida. Research Interests: Hardware Security and Trust Embedded Security Side-channel Analysis Memory System Reliability Machine Learning Applications in Security Grants and Awards: $750K NSA Grant (2022) for UAS Security $1.4M CyberFlorida Grant (2022) for Hardware-Security Training NSF SaTC Grant (2021) NSF CRII Grant (2019) UAH New Faculty Research Award (2019) Labs and Leadership: Director of the SeRLoP Lab (Security, Reliability, Low-power, and Privacy), leading collaborative projects on hardware security and critical infrastructure protection.

T. RavichandranView profile

Professor

• Digital Strategy
• Digital Platforms
• Supply Chain Management
• +7 more

T. Ravichandran is a Professor at Rensselaer Polytechnic Institute's School of Engineering and serves as an associated faculty member in the School of Science's IT program. He teaches graduate and doctoral courses at RPI and periodically in top Asian and European business schools, integrating a global perspective into his pedagogy. His research explores digital strategies, supply chain transformations, and IT-driven competitive dynamics. Education: Ph.D. in Industrial and Systems Engineering from Southern Illinois University, PG Diploma from National Productivity Council, India, B.E. in Production Engineering from University of Madras Research Grants: Funded by NSF (USA) and Ministry of Education (Singapore) Research Focus: Ravichandran investigates how digitization reshapes firms, markets, and industries through lenses like digital platforms, network structures, and outsourcing. His work spans disciplines including Information Systems, Strategic Management, and Technology Management, with methodological diversity from empirical studies to system dynamics models. Editorial Roles: Senior Editor of MIS Quarterly, Department Editor for IEEE Transactions on Engineering Management, Associate Editor for Information Systems Research Scientific Recognition: Recipient of multiple best paper awards across ICIS, HICSS, and the Academy of Management. His 2010 work won dual accolades from AIS and Information Systems Research. Teaching: Courses on Managing Digitization & Transformation and Supply Chain Capstone Labs: Affiliated with the Institute for Data Exploration and Applications (IDEA)

DUAN YueView profile

Assistant Professor

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +5 more

DUAN Yue is an Assistant Professor of Computer Science at the School of Computing and Information Systems, Singapore Management University (SMU). He holds a PhD from the University of California, Riverside (2019). His research focuses on cybersecurity, software security, AI security, and blockchain security, with an emphasis on vulnerabilities in smart contracts, malware analysis, and adversarial machine learning. Education: PhD, Computer Science, University of California, Riverside (2019); Postdoctoral training at Cornell University and University of Utah. Research Interests: Cybersecurity, software testing, blockchain security, AI security, mobile security, and system security. His work leverages program analysis and deep learning to address emerging security challenges. Awards: NSF CRII Award (2023), Excellence in Teaching Award (2023), ACM CCS Best Paper Honorable Mention (2022), RAID Best Paper Award (2019). Advising: Current students include Shengchen Duan (PhD, SMU) and visiting researchers. Notable former advisees include William Bodell (Increment Finance), Hua Xu (PhD, IIT), and others. Labs/Teams: Leads a research group focused on software and system security, with collaborations across academia and industry.

Jacques Bou AbdoView profile

Assistant Professor

• Cybersecurity
• Complex Systems
• Network Economics
• +5 more

Jacques Bou Abdo is an Assistant Professor at the University of Cincinnati's School of Information Technology, specializing in interdisciplinary research spanning cybersecurity, complex systems, and network economics. His work focuses on cyber deterrence, information warfare dynamics, and resilient network architectures. He holds a dual PhD in Management Sciences (Paris-Saclay University, 2021) and Computer Science (Sorbonne University, 2014), alongside advanced engineering degrees from Lebanese and French universities. Education includes a PhD in Management Sciences (2021, Paris-Saclay), PhD in Computer Science (2014, Sorbonne), and engineering degrees from Saint Joseph University and Lebanese University. Professional experience includes roles at Notre Dame University (NTT Assistant Professor), University of Nebraska, and visiting positions at institutions like Northern Arizona University and ITMO University. Research interests emphasize cybersecurity frameworks, blockchain applications, and computational models for strategic defense. Key themes include anomaly detection in data streams, IoT security, and ethical AI integration. Recent publications explore federated learning for IoT, AI governance, and modular robotics communication. Notable awards include the Fulbright Visiting Scholar Fellowship (2018). Grant roles include Co-PI for a National Strategic Research Institute project on nuclear deterrence theory (2022–2023). His work bridges theoretical models with practical applications in cyber resilience and strategic systems.

Jonathan AndersonView profile

Associate Professor

• Computer Security
• Operating Systems
• Privacy Technologies
• +3 more

Jonathan Anderson is an Associate Professor at Memorial University of Newfoundland's Faculty of Engineering and Applied Science. He holds a B.Eng. and M.Eng. from Memorial University (2006, 2008) and a PhD from the University of Cambridge (2012). His research focuses on computer security, privacy, operating systems, and the hardware/software interface. He is a contributor to the FreeBSD operating system, particularly its Capsicum sandboxing framework, and maintains securityconferences.net . Anderson's work includes the development of the CHERI capability model and the TESLA security logic assertions framework. He has held postdoctoral roles at Cambridge before returning to Memorial in 2014. His honors include the IEEE Canada–Telus Innovation Award and the Rothermere Fellowship. His research spans secure operating systems, cryptographic protocols, and distributed systems. Key contributions include advancements in sandboxing technologies, secure storage systems, and blockchain applications for data integrity. Anderson actively participates in academic workshops and conferences, contributing to the field of security protocols and system design.

George LoukasView profile

Professor

• Cyber Security
• Human-Centric Security
• Cyber-Physical Systems
• +2 more

Professor George Loukas heads the Centre for Sustainable Cyber Security at the University of Greenwich, specializing in human-centric and cyber-physical security. His externally funded research includes the EUNOMIA project (social media trustworthiness verification) and CHAI project (smart home AI compromise detection). He serves on IEEE Transactions on Information Forensics and Security editorial board. Core research themes: Cyber-physical attack detection in IoT Human-as-a-security-sensor frameworks Blockchain applications for data integrity Explainable AI for security Recent publications analyze emotional responses to smart home breaches, blockchain models for energy systems, and Android malware detection. Authored the ACM-top-10 listed 'Cyber-Physical Attacks: A Growing Invisible Threat' (2015).

Abu Barkat UllahView profile

Researcher

• Cyber Security
• Data Analytics
• Decision Analytics
• +3 more

Dr Abu Barkat Ullah is affiliated with the University of Canberra, where he conducts research in cybersecurity and related fields. He holds a PhD in Computer Science from the University of New South Wales (UNSW) Australia (2009). Previously, he served as Head of the Department of Cyber Security and Games at Canberra Institute of Technology (CIT), where he established the Threat Simulation Operations Centre (TSOC) for cyber training, which won the 2019 ACT Industry Collaboration Award. His research focuses on cybersecurity threats, data analytics, decision analytics, and evolutionary optimization. Notable contributions include studies on ransomware’s impact on national security, phishing strategies leveraging persuasion principles, and cybersecurity challenges in global mining infrastructure. He has led projects funded by organizations like AustCyber and Fifth Domain, emphasizing industry collaboration. Awarded the CIT Board Award for Leadership and Business Growth, Dr Ullah also contributes to academic governance through roles in CIT’s Academic Council and Corporate Resources Committee. His work bridges technical cybersecurity solutions with human-centric factors, emphasizing interdisciplinary approaches to address evolving threats.

• Distributed Systems
• Cloud Computing
• Blockchain Technology
• +5 more

Roussopoulos Mema is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Their research focuses on distributed systems, blockchain technology, peer-to-peer networks, and data preservation. They have contributed to advancements in decentralized storage systems, privacy-preserving voting mechanisms, and efficient resource management in cloud environments. Education and employment details are not explicitly listed in the provided text, but their extensive publication record indicates a long-standing academic and research career. Key research interests include distributed consensus algorithms, secure peer-to-peer architectures, and the integration of blockchain with traditional systems. Recent publications highlight work on interactive consistency in distributed systems (2021), decentralized social connectivity services (2020), and privacy-preserving internet voting systems (2019). Their research spans both theoretical frameworks and practical implementations, addressing challenges in scalability, security, and reliability. No scientific awards are explicitly mentioned in the text. Advising and grants details are not provided, but their extensive list of articles indicates active collaboration and funding in their field. They are affiliated with the Computer Systems and Applications division at the university, reflecting their focus on applied computer science and networking.

• Data science in smart grids
• Electricity markets for renewable-rich power systems
• Network modelling/planning for renewable integration
• +3 more

Dr. Jiajia Yang is a Senior Lecturer in Renewable Energy and Electrical Engineering at James Cook University (JCU), Australia. He holds a Ph.D. from the University of New South Wales (2018) and has extensive experience in power system modeling, renewable integration, and energy markets. Prior to JCU, he worked as a Senior Research Associate at UNSW and a Senior Power System Engineer in industry projects like the Renewable Energy Zone (REZ) programs. Education: B.E., Northeast Electric Power University, China (2011) M.E., Zhejiang University, China (2014) Ph.D., University of New South Wales, Australia (2018) Research Interests: Data science in smart grids Electricity markets for renewable-rich systems Localized/P2P trading mechanisms Hydrogen economy Recent Research Trends: Dr. Yang’s work focuses on decarbonizing power systems through innovative market designs, renewable integration, and cybersecurity. His 2024 studies emphasize hydrogen credit frameworks and carbon-neutral energy systems, while earlier projects address P2P trading and grid stability under high renewables. Awards: Outstanding Editorial Board Member (2023) Best Research Paper Award (2018) Advising & Grants: He coordinates teaching modules like Power Engineering 1/2 and leads the 2024 International Conference on Energy and Environment Engineering. His research is supported by projects like the North Queensland Transmission Grid Planning initiative (2024–2027). Labs/Teams: Engaged in IEEE PES roles, including IEEE Transactions on Industry Applications editorial work and chairing multiple conferences.

Hairong QiView profile

Professor

• Computer Vision
• Machine Learning
• Remote Sensing
• +3 more

Dr. Hairong Qi is the Gonzalez Family Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. Her research focuses on collaborative signal processing, computer vision, machine learning, and remote sensing. She directs the Advanced Imaging and Collaborative Information Processing (AICIP) Lab. Dr. Qi holds a PhD in Computer Engineering from North Carolina State University (1999), and MS/BS degrees in Computer Science from Northern JiaoTong University, China. Her work has been funded by NSF, DARPA, IARPA, ONR, NASA, and DHS. Her research contributions include over 200 technical papers and two co-authored books in computer vision. Notable awards include the IEEE Fellow (2018), NSF CAREER Award (2005), and GRSS Highest Impact Paper Award (2012). She has led projects in smart grid resilience, AI-driven healthcare, and hyperspectral imaging. Professional service includes editorial roles for IEEE Transactions on Image Processing and IEEE Multimedia Magazine, and leadership in conferences like ICPR, ICDSC, and WHISPERS. She has mentored numerous students and advised on interdisciplinary initiatives like the UT Cluster Hiring Initiative in Foundational AI. Dr. Qi’s work spans academic, industrial, and societal impacts, with innovations in sensor networks, cybersecurity, and agricultural robotics.

Natalia StakhanovaView profile

Associate Professor

• Cybersecurity
• Malware Analysis
• Software Obfuscation
• +7 more

Natalia Stakhanova is an Associate Professor and Director of The CyberLab at the University of Saskatchewan, Canada. She is a leading researcher in cybersecurity, with a focus on malware analysis, software obfuscation, mobile security, IoT security, and e-Health security. Her work integrates practical solutions to real-world security challenges, leveraging advanced techniques in reverse engineering, blockchain forensics, and AI-driven security tools. Her research has been recognized with prestigious awards, including the Best Paper Awards at FPS 2023 and EUSPN 2023, and she was named one of Canada’s Top 20 Women in Cybersecurity. She actively contributes to the cybersecurity community through editorial roles (e.g., IEEE TDSC) and conference leadership (e.g., Program Chair of SAD20 and SSPREW19). Stakhanova’s recent work explores AI-generated code security, adversarial analysis of software tools, and blockchain-based healthcare data integrity. Her projects often involve collaboration with industry partners, emphasizing practical impact alongside academic rigor.

Linh TruongView profile

Associate Professor

• Edge Computing
• Distributed Systems
• IoT Analytics
• +3 more

Linh Truong is an Associate Professor at Aalto University School of Science, Department of Computer Science, where he leads the AaltoSEA Group on Systems and Services Engineering Analytics. He also holds an adjunct position at TU Wien. Research interests: Distributed systems, edge-cloud continuum, IoT analytics, and machine learning infrastructure. Current focus includes resource optimization for real-time ML on edge devices, federated learning marketplaces, and context-aware service policies across edge environments. Publications: Recent work addresses challenges in edge-based ML serving, blockchain-edge integration, and DevOps for IoT microservices. Articles appear in IEEE conferences and journals including Transactions on Services Computing, Cloud Computing, and Internet of Things. Professional service: Regular program committee member for IEEE ICWS, CLOUD, BigData conferences. Editorial board member for Empirical Software Engineering journal. Professor Truong supervises doctoral students in distributed systems and edge intelligence, with research supported by EU and national funding.

Najam Ul HasanView profile

Senior Lecturer

• Internet of Things (IoT)
• Wireless Sensor Networks
• 5G/6G Networks
• +7 more

Dr. Najam Ul Hasan is a Senior Lecturer at the Department of Computing, Sheffield Hallam University. He holds a PhD in Information and Communication Engineering from Sejong University (2014), and prior roles included Assistant and Associate Professor at Dhofar University (2015–2020). His expertise spans IoT, 5G/6G networks, mobile edge computing, and machine learning, with applications in smart cities, disaster management, and healthcare. He has authored over 40 Web of Science-indexed papers and 25 IEEE conference papers, with 1,100+ citations (h-index 18). Awards include IEEE Senior Member and Fellow of Advance HE. Education: B.Sc. & M.Sc. in Computer Engineering (2006–2008), University of Engineering and Technology & NUST, Pakistan Ph.D. in Information and Communication Engineering (2014), Sejong University, South Korea Research & Expertise: IoT, Wireless Sensor Networks, 5G/6G, Mobile Edge Computing Applications: Smart Cities, UAVs for Disaster Management, Remote Healthcare Blockchain in Healthcare (e.g., SHealth system), Fraud Detection Teaching: Modules: Computer Programming, IoT Systems, Foundations in Computing Program Design, Quality Assurance, Academic Management Awards & Grants: Secured grants for IoT projects in smart cities, agriculture, and UAV-based disaster management Lead Research Committee at College Level Labs & Collaborations: Research Assistant at MINES Lab (Sejong University) Researcher at Multidimensional Insight Lab (Yonsei University)

Sebastian Alexander MödersheimView profile

Associate Professor

• Security Protocols
• Protocol Verification
• Privacy in Cybersecurity
• +3 more

Sebastian Alexander Mödersheim is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). He specializes in security protocols, formal verification, and privacy-preserving technologies. His research focuses on developing automated methods for analyzing and ensuring the security and privacy of cryptographic protocols, including topics such as privacy properties, protocol compositionality, and accountability mechanisms. His work contributes to UN Sustainable Development Goals by addressing privacy and security challenges in digital systems. Key research areas include formal methods for protocol verification, privacy models like Alpha-Beta Privacy, and secure authentication mechanisms. Mödersheim has authored over 59 publications, including peer-reviewed articles in prestigious conferences such as IEEE Computer Security Foundations Symposium (CSF) and journals like ACM Transactions on Privacy and Security. His recent work emphasizes privacy in authentication protocols, stateful protocol composition, and automated verification tools using theorem provers like Isabelle/HOL. He supervises PhD students in projects such as secure cloud-edge computing (TaRDIS), logical approaches to privacy, and formalization of security protocols. His contributions also extend to tools like AVISPA and AIF framework for protocol analysis.