Find Academic Supervisors

Xing GaoView profile

Assistant Professor

• Cybersecurity
• Cloud Computing
• Mobile Computing
• +4 more

Xing Gao is an Assistant Professor at the University of Delaware, affiliated with the Department of Computer and Information Sciences and jointly with the Department of Electrical and Computer Engineering. His office is located at 316B FinTech Innovation Hub on the STAR Campus. He holds a PhD from the College of William and Mary (2018) and a BS from Beijing Institute of Technology (2011). Research Interests: Cybersecurity in Software Supply Chain, Web 3, High-Performance Computing, Large Language Models, with a focus on Security, Cloud Computing, and Mobile Computing. Education: PhD | 2018 | College of William and Mary BS | 2011 | Beijing Institute of Technology His recent work explores cybersecurity vulnerabilities in cloud gaming services (CCS'22), container registries (USENIX-SEC'22), and software supply chains, with specialized attention to GPU cache attacks (USENIX-SEC'24) and Ethereum smart contracts (WWW'24). His research spans theoretical and applied aspects of system security, including CI/CD pipelines (CCS'24), SDN backdoors (INFOCOM'23), and hardware-level threats (ACSAC'21). Scientific Awards NSF CAREER Award (2024) NSF CRII Award (2020) NDSS Distinguished Poster Award (2016) He serves as Registration Chair for ACM/IEEE Symposium on Edge Computing (2023) and Publicity Co-Chair for IEEE Conference on Communications and Network Security (2022). He is actively involved as TPC Member in multiple top-tier conferences including USENIX Security (2026,2025), CCS (2026,2025,2024), and IEEE DSN (2024). He has also reviewed for journals like IEEE Transactions on Dependable and Secure Computing. Labs & Teams X-Lab at the University of Delaware, a research group focused on cybersecurity in emerging technologies.

Mauro ContiView profile

Professor

• Security
• Privacy
• Wireless Sensor Networks
• +9 more

Mauro Conti is a Full Professor at the University of Padua, Italy, where he serves as Editor-in-chief of IEEE TIFS, UniPD Academic Advisor for Entrepreneurship Development, Study Program Coordinator of the MSc degree in Cybersecurity, Head of the SPRITZ Security and Privacy Research Group, and Director of the UniPD node of CINI Cybersecurity National Lab. He also maintains affiliations with TU Delft (NL) and the University of Washington (USA). Additionally, he is the CEO and co-founder of CHISITO and co-founder of DYALOGHI. His research focuses on security and privacy for wireless resource-constrained mobile devices (WSNs, RFIDs, and smartphones), computer system security, computer forensics, access control, and distributed and networked systems. Professor Conti has published extensively in top security venues including ACM CCS, IEEE S&P, NDSS, and USENIX Security, with recent work covering topics such as battery authentication, federated learning privacy, private set intersections, USB peripheral fingerprinting, and ATM PIN inference. He has received numerous prestigious awards including IEEE Fellow, Young Academy of Europe Fellow, EU Marie Curie Fellow, and DAAD Fellow. Professor Conti has advised over 100 students at various levels including PhD, MSc, and BSc, many of whom have gone on to successful careers in academia and industry. His research has been supported by multiple European Commission projects, university grants, and industry collaborations with companies like Cisco and Intel.

Soteris DemetriouView profile

Senior Lecturer

• Computer System Security
• Cyber-Physical Systems Security
• Machine Learning Security
• +3 more

Soteris Demetriou is a Senior Lecturer of Computer Systems Security at Imperial College London's Department of Computing, within the Faculty of Engineering. He leads the Applications, Platforms, and Systems Security (APSS) Research Lab and directs the Academic Centre of Excellence in Cyber Security Research (ACE-CSR). His research focuses on securing mobile, IoT, and cyber-physical systems through techniques like explainable AI, reverse engineering, and trusted computing. Notable contributions include tools for privacy preservation in machine learning models, detection of LiDAR spoofing attacks, and securing Android's middleware. Education: PhD and MSc in Computer Science (University of Illinois at Urbana-Champaign), Diploma in Electrical and Computer Engineering (University of Patras). Research Interests: Mobile/IoT security, AI security, trusted computing, and vulnerability analysis. Key areas include privacy in generative models, adversarial attacks on autonomous systems, and large-scale distributed systems. Publications: Over 50 peer-reviewed papers in top venues like NDSS, CCS, and SOSP. Recent work addresses privacy in speech generation, LiDAR security for autonomous vehicles, and hyperscale serverless architectures at Meta. Awards: Distinguished Paper Award at NDSS 2018, Best Paper at SafeThings 2024, and multiple travel grants. Served on technical committees for PETS, CCS, and AutoSec. Grants & Collaborations: SPRITE+ grant for Bio-IoT security, collaboration with Meta on distributed systems, and leadership in ACE-CSR. Labs: APSS Lab focuses on systems and AI security, with interdisciplinary projects in healthcare and autonomous systems.

Ahmad GhafarianView profile

Professor

• Information Security
• Computer Forensics
• Cybersecurity
• +5 more

Dr. Ahmad Ghafarian is a Professor of Computer Science in the Mike Cottrell College of Business at the University of North Georgia (UNG), where he has served for over 20 years since 1996. He is a dedicated educator who emphasizes positive teacher-student relationships and has taught a wide range of undergraduate and graduate courses in computer science and cybersecurity. His educational background includes: Ph.D. in Computer Science, University of Glasgow, UK, 1982 M.S. in Computer Science, University of Glasgow, UK, 1974 B.S. in Mathematics, Ferdowsi University of Mashhad, Iran, 1970 Postdoctoral Studies in Information Security, University of Maryland University College, 2007 Graduate Certificate in Information Security, Purdue University, 2003 Dr. Ghafarian's research focuses on digital forensics and cybersecurity, with expertise in computer forensics, malware detection, cloud security, social media privacy, and SQL injection attacks. His work involves empirical studies of security tools and protocols, advancing forensic methodologies and security practices through rigorous experimentation and analysis. His publication record demonstrates a clear evolution from foundational computer science education topics in the 1990s to specialized cybersecurity research since the mid-2000s. Current work emphasizes memory forensics for social media platforms, ransomware detection mechanisms, connected vehicle security, and VoIP system vulnerabilities, reflecting his adaptation to emerging technological threats. No scientific awards were explicitly mentioned in the source material. Dr. Ghafarian has developed comprehensive curricula across 15+ graduate and undergraduate courses including cybersecurity capstones, network security, and computer forensics. His teaching innovations include semester-long projects, ethical case studies, and practical lab components using tools like Kali Linux. While specific grant funding isn't documented, his extensive publication record and curriculum development demonstrate sustained research engagement and academic leadership.

• Cyber Defence
• Reverse Engineering
• Malware Analysis
• +5 more

Geir Olav Dyrkolbotn is an Associate Professor at NTNU's Center for Cyber and Information Security (CCIS) and a Major in the Norwegian Armed Forces, serving at the Norwegian Defence Cyber Academy (NDCA). He leads the NTNU Malware Lab and the cyber defence research group at CCIS. He holds a PhD in Information Security from Gjøvik University College and a MSc in Computer Science from NTNU. With over 25 years in the military, his work focuses on tactical communication systems, defensive cyber operations, and operational security. His research emphasizes cyber defence, reverse engineering, malware analysis, side-channel attacks, and machine learning applications. Education: PhD in Information Security, Gjøvik University College (HiG) MSc in Computer Science, NTNU Research Interests: Geir Olav's work bridges theoretical cybersecurity research and practical military applications. He explores innovative methods for hardware reverse engineering, malware detection/classification using low-level features, and forensic acquisition techniques. His contributions include analyzing USB power delivery vulnerabilities, NTFS cluster allocation behavior, and secure chip exploitation for digital forensics. Teaching: Courses include IIKG6500/IMT4213 Cyber-taktikk, IMT4214 Cyber-etterretning, IIKG6501 Cyber Intelligence, and IMT4116 Malware Analysis & Reversing. Labs & Teams: Heads the NTNU Malware Lab and leads the cyber defence research group at CCIS, collaborating on projects like the Digital Forensic Acquisition Kill Chain and hardware security vulnerability assessments.

Weiqing SunView profile

Professor

• Computer Security
• Network Security
• Malware Defense
• +6 more

Weiqing Sun is a Professor in the Computer Science and Engineering Technology Program within the Department of Engineering Technology at the College of Engineering, University of Toledo. He serves as the Program Director for the Master's Programs in Cyber Security and is also the Cyber Security Faculty Fellow for UT DTAS (Division of Technology and Advanced Solutions). His office is located in NE 1627 at the University of Toledo. Dr. Sun earned his Ph.D. degree from the Computer Science Department at Stony Brook University (SUNY at Stony Brook) in 2008. He completed his undergraduate and master's education in China, holding both B.E. and M.E. degrees in Computer Science and Engineering from Tongji University, Shanghai. Dr. Sun's primary research focuses on computer and network security, with particular emphasis on malware defense and detection, security policy development, security testbed creation, and intrusion detection systems. His work extends to enhancing security across various critical infrastructure systems including smart grids, cloud computing environments, software-defined networks, unmanned aerial vehicles, healthcare information systems, and transportation networks. His research approach combines theoretical foundations with practical implementations, often developing simulation testbeds to evaluate security solutions in realistic scenarios. Analysis of Dr. Sun's publication record reveals a consistent focus on practical cybersecurity solutions across multiple domains. His work shows evolution from foundational security mechanisms toward specialized applications in emerging technologies like UAV networks, smart grids, and connected vehicles. A notable trend is his development of simulation testbeds for security evaluation, demonstrating his commitment to bridging theoretical security concepts with real-world implementation challenges. His research increasingly incorporates machine learning and deep learning techniques for intrusion detection and anomaly identification. Dr. Sun has been actively involved in mentoring students and developing curriculum in cybersecurity. His teaching portfolio includes advanced courses in computer and network security, software engineering, programming languages, and web services. He has contributed to cybersecurity education through the development of hands-on lab environments that provide practical security experience for students. His research has received support from the Ohio Department of Transportation and the University of Toledo, enabling his work on critical infrastructure security. Dr. Sun leads research initiatives focused on creating secure environments for emerging technologies and critical systems. Dr. Sun directs the Cyber Security Research Lab at the University of Toledo, where his team works on developing innovative security solutions for various platforms and systems. The lab focuses on practical security implementations, often creating simulation environments to test security mechanisms before real-world deployment.

Gauthier LanotView profile

Professor

• Empirical Micro-economics
• Econometrics
• Labour Economics
• +3 more

Gauthier Lanot is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Department of Economics, Umeå University. His research focuses on empirical micro-economics, econometrics, labour economics, public economics, and public finance. He holds a PhD from Université Louis Pasteur (1993) and has held positions at Keele University (UK), Laval University (Canada), and Queen's University Belfast (UK). He served as an associate editor for the Journal of the Royal Statistical Society Series A (2010-2013) and on the Danish National Centre for Social Research Advisory Board (2013-2016). His research explores topics such as tax incidence, minimum wage effects, pension policies, and labour market dynamics. Current projects include studies on electricity demand flexibility, military deployment impacts, and taxation responses. Lanot has taught courses like Industrial Economics and Microeconomics Analysis at both undergraduate and graduate levels. He secured grants from Forte and Handelsbanken in 2021, and is affiliated with the Economic Policy Network. Key contributions include analyses of retirement decisions in Denmark, lottery demand modeling, and evaluation of UK economic research performance. His work bridges theoretical econometric methods with applied policy analysis, emphasizing empirical rigor in public finance and labour market studies.

Medhanie GaimView profile

Associate Professor

• Organizational Paradoxes
• Entrepreneurial Ecosystems
• Startup-Corporate Collaboration
• +5 more

Medhanie Gaim is an Associate Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University. He holds a Docent (higher doctorate) and is a Recognised University Teacher. His primary affiliation is within the Department of Business Administration and Management, focusing on organizational paradoxes and entrepreneurial ecosystems. Research interests include managing contradictions in organizations, startup-corporate collaboration strategies, refugee entrepreneurship, and innovation ecosystems. He leads the 'Entrepreneurial Ecosystems and New Venture Creation' research group and has secured grants from Forte and Handelsbanken. Notable achievements include the USBE Scientific Awards 2020. Key contributions address paradox persistence in projects (e.g., Sydney Opera House), Volkswagen's emissions scandal analysis, and pandemic-driven organizational adaptations. His work spans interdisciplinary dialogues, cultural management (Ubuntu case), and design thinking applications in creative industries. Publications emphasize frameworks for synthesizing paradoxical tensions, ecosystem orchestration strategies, and routines balancing stability/innovation. Current projects include refugee entrepreneurship studies and interactive spaces for venture creation support.

Niklas HanesView profile

Associate Professor

• Public Economics
• Labor Economics
• Regional Economics
• +5 more

Niklas Hanes is an Associate Professor at the Department of Economics within the Umeå School of Business, Economics and Statistics (USBE) at Umeå University. His research focuses on public economics, labor economics, regional development, and behavioral economics with particular attention to military policy impacts, childcare reforms, municipal amalgamations, and stock market participation behaviors. Research Projects: Lead researcher in the 2021-2023 project analyzing military deployment's labor market effects. Research Groups: Member of the Economic Policy Network. Research Interests His work examines the economic implications of public policies across multiple domains: Military training's civilian labor market returns Effects of childcare fee reforms on gendered employment patterns Economic efficiency of municipal mergers Psychological determinants of financial decision-making Historical analysis of municipal governance reforms Recent Research Trends Recent publications emphasize: Long-term economic effects of military service Regional policy impacts on local economies Behavioral factors in financial market participation Awards & Grants Recipient of the 2021-2023 research grant studying military deployment labor market outcomes. Active in securing multi-year research funding through collaborative projects. Labs & Teams Prominent contributor to the Economic Policy Network's initiatives analyzing regional development strategies and public sector efficiency.

• Computer Science
• Cybersecurity
• Network Security
• +4 more

Mauro Andreolini is a University Researcher at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia. He teaches Operating Systems and Secure Software Development courses within the Computer Science degree program. His research focuses on Cybersecurity , Network Security , Machine Learning in Security , and Cloud Computing . His recent publications analyze Data Privacy through geohashing and clustering, Adversarial Attacks in cybersecurity, and Moving Target Defense architectures. He has also contributed to frameworks for Automated Security Assessments using deductive reasoning and Realistic Botnet Detection benchmarks. Andreolini's work addresses Graph Neural Networks in intrusion detection, n-Gram Analysis for automotive network security, and Side-Channel Vulnerabilities in USB devices. He collaborates with researchers like Artioli, Ferretti, Marchetti, and Colajanni on projects spanning Adversarial Machine Learning , Secure Software Development , and Cloud-Based Monitoring .

Adam BatesView profile

Associate Professor

• Data Provenance
• Cybersecurity
• Computer Systems
• +7 more

Adam Bates is an Associate Professor at the University of Illinois at Urbana-Champaign, with affiliations in the Department of Computer Science and the Electrical & Computer Engineering Department. His research focuses on data provenance, cybersecurity, and secure system design. He received his PhD from the University of Florida under Professor Kevin Butler, collaborating with the Florida Institute for Cybersecurity Research. His work addresses security challenges in SSL/TLS, cloud computing, USB attack vectors, and telephony infrastructure, with notable contributions to provenance-aware systems. Education: PhD in Computer Science (University of Florida, advised by Kevin Butler) Research Interests: Secure data provenance systems Endpoint detection and response Privacy in smart homes and IoT Serverless computing security USB and cloud security Scientific Awards: NSF CISE Research Initiation Initiative (CRII) Award (2017) NSF CAREER Award (2018) Labs & Teams: Principal Investigator at the STS Lab

Rich WestView profile

Professor

• Real-time systems
• Embedded systems
• Operating systems
• +12 more

Rich West is a Professor in the Department of Computer Science at Boston University, with a secondary affiliation in Electrical and Computer Engineering. He joined BU in 2000 after earning his PhD from Georgia Tech. His research focuses on real-time and embedded systems, operating systems, and resource management, leading the development of the Quest real-time OS and its separation kernel, Quest-V. His work emphasizes safety, predictability, and efficiency in systems like IoT devices and automotive/avionics applications. Education: PhD, Computer Science, Georgia Institute of Technology (2000) MS, Computer Science, Georgia Institute of Technology (1998) MEng, Microelectronics and Software Engineering, University of Newcastle-upon-Tyne (1991) Research Interests: Rich's work spans real-time operating systems, embedded systems design, multicore resource management, kernel architecture, hardware-software co-design, and secure separation kernels. He emphasizes practical applications, such as autonomous drones, automotive systems, and IoT devices. His lab develops systems like Quest-V for predictable execution and FlyOS for drone avionics. Awards and Recognition: Outstanding Paper Award at ECRTS 2020 Best Student Paper Award at RTAS 2017 Nominated for Best Paper Award at EMSOFT 2021 Best Paper Award at RTAS 2022 (FlyOS) Advising and Labs: He advises numerous PhD/MSc students on real-time systems, embedded computing, and safety-critical software. His lab collaborates on projects like the Quest OS, ModelMap automotive frameworks, and drone control systems (FlyOS). He also leads the BOSS, RTCC, and iBench research groups.

Myung KangView profile

Lecturer

• Cybersecurity
• NERC CIP Compliance
• Network Security
• +2 more

Myung Kang is a Lecturer at the University of Kansas with over 20 years of experience in cybersecurity, specializing in NERC CIP compliance, network security, and vulnerability assessments. He holds a Master of Science in Information Technology (University of Kansas) and certifications including CISSP and Security+. Education: MS in Information Technology, University of Kansas His research focuses on secure network infrastructures and USB device security, highlighted by his 2017 publication USBWall . He actively contributes to the Kansas City InfoSec community as a volunteer photographer and engages in ethical hacking experiments in his homelab.

• Computer Security
• Digital Forensics
• Machine Learning
• +3 more

Stefan Axelsson is an Associate Professor at NTNU (Norwegian University of Science and Technology) in Gjövik, Norway, and a Senior Lecturer at Blekinge Institute of Technology in Sweden. His research focuses on computer security, digital forensics, and applications of machine learning in intrusion detection and data analysis. He holds a PhD in Computer Science from Chalmers University of Technology (2005), with a thesis on intrusion detection visualization. His work bridges academia and industry, including collaborations with Ericsson. Research interests span forensic file systems analysis (NTFS/ReFS), fraud detection in financial systems, and visualization techniques for security data. Notable contributions include the Bayesvis intrusion detection tool and fraud simulation frameworks like PaySim. He has published extensively in venues like Digital Investigation, DFRWS, and IFIP conferences. Key achievements include a best paper award at EMSS 2013 for forensic agent-based simulation work. His software contributions focus on practical tools for security professionals, emphasizing usability and visualization of complex data patterns.

• Cyber defense
• Reverse engineering
• Malware analysis
• +7 more

Geir Olav Dyrkolbotn is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Center for Cyber and Information Security (CCIS). He leads the NTNU Malware Lab and the Cyber Defence research group. His expertise bridges academic research with military experience from over 25 years in the Norwegian Armed Forces. PhD in Information Security from Gjøvik University College MSc in Computer Science from Norwegian Institute of Technology (NTH) His research focuses on cyber defense , reverse engineering , and malware analysis , with significant work in side-channel attacks and machine learning . He has contributed to hardware security, IoT vulnerabilities, and digital forensics through publications spanning 2006–2024. Recent publications highlight trends in malware detection via low-level features , hardware reverse engineering , and IoT security , reflecting his interdisciplinary approach to cyber threats. Collaborative works with institutions like IEEE and Springer demonstrate his industry and academic impact. Geir supervises PhD student Sergii Banin , leads critical research labs, and contributes to education through courses like Reverse Engineering and Malware Analysis. His work emphasizes practical applications in military and civilian cyber infrastructure defense.