Find Academic Supervisors

• Distributed Stream Processing
• Data Stream Analytics
• Database Optimization
• +3 more

Dr. Boris Novikov is a prominent Russian computer scientist affiliated with St Petersburg University and the Higher School of Economics . His research focuses on distributed stream processing, temporal databases, and XML query optimization. Key collaborators include Artem Trofimov , Elena Mikhailova , and Anna Yarygina . Research Areas : Distributed Systems (stream processing, substream management) Database Optimization (vertical partitioning, XML caching) Temporal Data Management Machine Learning (concept drift detection) His recent work on distributed stream processing (2023-2022) explores substream bounding, deterministic models, and resource allocation strategies. Earlier contributions (2012-2008) focused on XML query performance, similarity indexing, and access control frameworks. Technical Trends : Event time alignment in distributed architectures Dynamic residual projection for cybersecurity Bi-objective optimization in database systems Speculative execution with conflict resolution Incremental Lagrangian dual solutions Matrix clustering for partitioning problems

Husnain RafiqView profile

Lecturer

• Cyber Security
• Machine Learning
• Malware Detection
• +4 more

Dr. Husnain Rafiq is a Lecturer in Cyber Security at Edge Hill University, where he conducts research on machine learning applications in cybersecurity. He earned his PhD in Cyber Security from Northumbria University in December 2022, focusing on ML-based mobile malware defense. With over seven years of teaching experience, he currently supervises graduate research projects in mobile security, adversarial ML, and malware detection. Research Focus His research spans: Machine Learning for Security: Developing adversarial-aware malware detectors and evasion-resistant models Mobile Systems Protection: Specializing in Android malware detection using image processing and deep learning Cyber Defense Innovations: Creating GAN-based botnet detectors and DGA detection systems Trustworthy AI: Exploring explainable AI for fraud detection and content moderation Publication Trends Recent works demonstrate strong focus on adversarial machine learning (77% of publications) with applications in malware detection (57%), network security (35%), and trust-aware AI systems (21%). Emerging themes include explainable fraud detection, sustainable risk frameworks, and low-data regime solutions.

Asaf LubinView profile

Associate Professor

• International Law
• Cybersecurity
• National Security
• +5 more

Asaf Lubin is an Associate Professor of Law at Indiana University Maurer School of Law and a Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. He holds affiliations as an Affiliated Fellow at Yale Law School’s Information Society Project and a Visiting Scholar at Hebrew University’s Federmann Cyber Security Research Center. His research focuses on the intersection of law, technology, and international security, addressing cybersecurity liabilities, espionage regulation, AI ethics, and privacy frameworks. Dr. Lubin earned dual degrees in Law and International Relations (Hebrew University, magna cum laude), an LL.M., and a J.S.D. from Yale Law School. He has held roles including Postdoctoral Fellow at Tufts University’s Fletcher School, UNODC Expert Contributor, and legal clerk at Israel’s Ministry of Foreign Affairs. His scholarship emphasizes legal challenges in emerging technologies, with forthcoming books on The International Law of Intelligence (Oxford, 2025) and Teaching Cybersecurity Law (Edward Elgar, 2025). He has published in top-tier journals like the Harvard International Law Journal and Lawfare, exploring topics such as spyware regulation, botnet jurisprudence, and data rights in armed conflict. Awarded Indiana University’s prestigious Outstanding Junior Faculty Award (2024), Lubin also contributes to policy initiatives like the UN’s Education for Justice Cybercrime Modules. His interdisciplinary work bridges academia and practice, informed by military intelligence experience (Israeli Defense Forces) and advocacy with Privacy International. Lubin teaches courses on cybersecurity law, international law, and torts at IU Maurer School of Law, and has previously instructed at Columbia and Yale. He actively engages in public discourse through media outlets like The Harvard Crimson and podcasts on national security law.

• Network Science
• Applied Machine Learning
• Cybersecurity
• +7 more

Shi ZHOU is a tenured full Professor of Network Science at the Department of Computer Science, University College London (UCL). He is affiliated with the Centre for Artificial Intelligence and the Information and Decision Systems (IDS) Research Group. His work focuses on network science, applied machine learning, cybersecurity, and complex systems analysis. He holds a PhD from Queen Mary College (2004), and earlier degrees from Zhejiang University (BSc 1995, MSc 1998). Research interests include social network analysis, epidemiological modeling, opinion dynamics, cybersecurity, and internet topology. Notable projects involve voter model simulations for election forecasting, botnet detection in social media platforms, and BGP routing protocol analysis in ISP networks. His work intersects with UN Sustainable Development Goals 3 (Health) and 9 (Infrastructure). Recent research trends emphasize optimizing network structures to mitigate polarization, enhancing routing efficiency in complex networks, and developing cloud-aware security frameworks. His publications demonstrate expertise in both theoretical network models and applied cybersecurity solutions. Grants and collaborations include projects on cloud computing classification systems (UCC), botnet lifecycle analysis, and large-scale network measurement studies. He leads the IDS Research Group at UCL, fostering interdisciplinary approaches to complex systems analysis.

• Digital Forensics
• Cybersecurity
• Network Forensics
• +5 more

Dr. Mark Scanlon is an Associate Professor in the School of Computer Science at University College Dublin (UCD), where he also serves as Founding Director of the UCD Forensics and Security Research Group and Programme Director of the MSc in Forensic Computing and Cybercrime Investigation. He holds a PhD in Remote Digital Forensic Evidence Acquisition and Analysis from UCD and is a Fulbright Scholar in Cybersecurity. His research focuses on digital forensics, cybersecurity, and IoT device analysis, with notable contributions in electromagnetic side-channel analysis, AI-driven forensic tools, and password cracking methodologies. Education: BA, University College Dublin MSc and PhD in Remote Digital Forensic Evidence Acquisition and Analysis, University College Dublin Professional Diploma in University Teaching & Learning, UCD Affiliations: Principal Investigator at CeADAR (National Centre for Applied AI) Senior Editor, Forensic Science International: Digital Investigation Scanlon’s research interests span digital forensics, cybersecurity, and AI applications in investigation. He has pioneered work in electromagnetic side-channel analysis for IoT devices, non-invasive cryptographic analysis, and leveraging LLMs for forensic efficiency. His work addresses challenges such as data deduplication, password cracking optimization, and improving practitioner workflows through automated tools like TraceGen and EMvidence frameworks. His articles highlight trends in AI integration (e.g., LLMs for evidence analysis), IoT forensic readiness, and practitioner challenges (via the DFPulse survey). Scanlon has secured grants including a Fulbright award for collaborative research and led initiatives in forensic education and ethical hacking training. His contributions bridge academic research and real-world forensic practices, emphasizing ethical considerations and tool development. Scientific Awards: Fulbright Scholar in Cybersecurity and Cybercrime Investigation In teaching, he coordinates modules such as Advanced Computer Forensics, Ethical Hacking, and OSINT Analysis, reflecting his commitment to advancing forensic education and cybersecurity training.

Sven DietrichView profile

Professor

• Computer Security
• Network Security
• Cryptography
• +5 more

Sven Dietrich is a Professor in the Computer Science Department at Hunter College, CUNY. His affiliations include the Hunter Computer and Network Security Lab, CUNY Graduate Center (Doctoral Faculty), and the IEEE Cybersecurity Initiative. He has served in leadership roles such as Program/General Chair for multiple conferences including SADFE 2020 and SACMAT 2022. Education: Doctor of Arts in Mathematics (Adelphi University), with significant computer science work; MS and BS in Mathematics and Computer Science from Adelphi University. Research focuses on computer/network security, cryptography, anonymity, and privacy. Key areas include DDoS/malware analysis, cryptographic protocol verification, and IoT security. He has advised numerous PhD/master’s students and contributed to anti-phishing technologies via Wombat Security Technologies. Teaching includes courses on computer security, software design, and network forensics at Hunter College and CUNY Graduate Center. His work has led to impactful tools like VFuzz for IoT vulnerability detection and ZMAD for Z-Wave protocol security. Awards include a Best Paper Award at the 2008 Malware Conference for groundbreaking work on P2P botnet analysis. He actively participates in academic service through roles like IEEE Computer Society Board of Governors and multiple conference committees.

Michael BewongView profile

Senior Lecturer

• Data Science
• Artificial Intelligence
• Cyber Security
• +3 more

Dr. Michael Bewong is a Senior Lecturer in Computing at Charles Sturt University, specializing in Data Science, AI, and Cyber Security. He holds a PhD and BSc (Hons) from the University of South Australia. His roles include teaching database-related subjects and conducting research in data analytics and cyber security. Previously, he worked as a Research Fellow at UniSA, collaborating with Data to Decisions CRC on projects like 'Beat the News' (predictive data mining) and 'Predicting Cyber Security Exploits' (machine learning for vulnerability analysis). Education: PhD in Computing, University of South Australia BSc (Hons) in Computing, University of South Australia Research Interests: Focuses on applying data analytics and machine learning to solve real-world problems in cyber security, agriculture, and health. His work integrates AI-driven solutions for cyber threat detection, privacy-preserving data publication, and smart farming systems. Current projects include analyzing UAV threats to agriculture and developing frameworks for false information detection on social media. Articles Trends: Recent publications emphasize cyber security (e.g., threat hunting, exploit prediction), AI ethics (fairness algorithms), and precision agriculture (UAV threats, data-driven farming). Collaborations span interdisciplinary teams addressing challenges in graph data imputation, federated learning, and privacy techniques like LDP. Awards: Holds 12 prizes (specific names not listed in provided texts). Advising & Grants: No explicit student advisees listed. Collaborations include grants from Data to Decisions CRC and Food Agility Cooperative Centre. Labs/Teams: Affiliated with Data Science and Engineering Research Unit, Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG) at Charles Sturt University.

Mostafa DahshanView profile

Lecturer

• Computer Networks
• Network Security
• Cloud Computing
• +4 more

Dr. Mostafa Dahshan is a Lecturer in Computing at Charles Sturt University (Bathurst campus), affiliated with the School of Computing, Mathematics and Engineering. He holds a PhD in Electrical & Computer Engineering from the University of Oklahoma, USA, and has prior roles as an Associate Professor at King Saud University (2007-2018). His research focuses on computer networks, cybersecurity, cloud computing, and machine learning applications in healthcare and materials science. He is a Senior Member of IEEE and a Certified Professional of the Australian Computer Society. Education: PhD (Electrical & Computer Engineering), University of Oklahoma, USA (2006) MSc (Telecom Systems), University of Oklahoma, USA (2002) BSc (Computer Engineering), Cairo University, Egypt (1999) Research Interests: Network security, IoT protocols, machine learning for medical imaging, and optimization of optical networks. His work bridges theoretical computer science with practical applications in education technology and industrial engineering. Key Contributions: Published over 20 peer-reviewed articles on topics like wireless sensor network authentication, lung cancer detection via machine learning, and heat transfer in curved geometries. His interdisciplinary approach integrates data science with engineering challenges. Awards: Senior Member (IEEE), 2018 Certified Professional (ACS), 2023 Teaching & Advising: Developed courses in programming, cloud computing, and web technologies. Advised multiple theses and capstone projects at King Saud University. Active in curriculum design for technology-enhanced learning. Labs/Teams: Member of the Data Science and Engineering Research Unit at Charles Sturt University, contributing to interdisciplinary projects in applied computing.

• Cybersecurity
• Adversarial Machine Learning
• IoT Security
• +2 more

Mohammed Kaosar is Senior Lecturer in Information Technology at Murdoch University, specializing in cybersecurity, IoT systems, and adversarial machine learning. His research develops secure computing frameworks for applications in healthcare, critical infrastructure, and social media. Current investigations include quantum neural networks, blockchain-based security systems, and privacy-preserving AI techniques. Research clusters address: Federated learning for medical diagnostics Bot detection in social networks Secure IoT architectures Cryptographic privacy solutions Publications demonstrate innovation in distributed trust management, healthcare data security, and deep learning applications. Recent work explores quantum computing approaches to image classification challenges. Ongoing projects include developing resilient intrusion detection systems and analyzing cyber threats to national security infrastructure.

Mira YunView profile

Professor

• Computer Science Education
• K-12 Outreach
• Undergraduate Research
• +6 more

Mira Yun is Professor of the Practice in Computer Science at Boston College, transitioning from Wentworth Institute of Technology. She holds a Ph.D. from George Washington University focusing on heterogeneous wireless network optimization. Research spans computer science education (K-12 outreach, undergraduate coaching) and wireless networks (public safety systems, base station placement). Education work develops inclusive pedagogies using playful robotics. Network research optimizes resource allocation for emergency response. Publications include 2021-2022 studies on IoT botnet testbeds and CS education frameworks. Recent focus on scalable network solutions and educational equity. No awards documented. Advocates for diverse participation in computing. Leads workshops for Girl Scouts and mentors undergraduate educators. Public safety network research supported through algorithmic innovations.

Raheem A BeyahView profile

Professor

• Network Security
• Cyber-Physical Systems Security
• Network Traffic Characterization
• +3 more

Raheem A Beyah is the Dean of the College of Engineering at Georgia Tech and holds the Southern Company Chair. He is a Professor in the School of Electrical and Computer Engineering, leading the Communications Assurance and Performance Group (CAP). His research focuses on network security, cyber-physical systems, and critical infrastructure protection. Education: BS in Electrical Engineering from North Carolina A&T State University (1998), MS and PhD in Electrical and Computer Engineering from Georgia Tech (1999-2003). Prior roles include Vice President for Interdisciplinary Research, Interim ECE Chair, and affiliations with the Institute for Information Security & Privacy (IISP). Research interests span network security monitoring, industrial control systems, and IoT vulnerability analysis. Notable achievements include the NSF CAREER Award (2009), ACM Distinguished Scientist (2016), and IEEE Fellow (2025). Advising and grants: Founded Fortiphyd Logic, Inc., and led initiatives like the Online Masters of Cybersecurity (OMS Cybersecurity). Community involvement includes KIPP WAYS Academy board service and leadership programs with United Way and Leadership Atlanta. Labs/Teams: CAP Group focuses on secure network infrastructure and accountable computing systems. Active in academic mentoring through programs like LSAMP and SURE.

Son VuongView profile

Associate Professor

• Computer Security
• Distributed Systems
• Mobile Computing
• +3 more

Son Vuong is an Associate Professor Emeritus in the Department of Computer Science at the University of British Columbia, affiliated with the Faculty of Science. His research spans cybersecurity, distributed systems, and mobile computing, with a focus on malware detection, mobile agent systems, and peer-to-peer network architectures. He has contributed to advancements in context-aware security frameworks, wireless sensor networks, and healthcare IT solutions. His work emphasizes practical applications of distributed computing, including scalable content delivery systems, QoS verification in networks, and intrusion detection methodologies. Notable projects include frameworks for Android malware classification using machine learning and innovative approaches to MANET service discovery. Publications highlight trends in mobile computing security, P2P scalability, and healthcare system integration. His research bridges theoretical foundations with real-world implementations, addressing challenges in both academic and industrial contexts.

Wenke LeeView profile

Professor

• Network Security
• Botnet Detection
• Malware Analysis
• +7 more

Wenke Lee is the USG Regents Professor and John P. Imlay Jr. Chair in Software at Georgia Tech's College of Computing, where he has been a professor since 2001. He currently serves as Executive Director of the Institute for Information Security & Privacy (IISP), leading Georgia Tech's global cybersecurity initiatives. His academic roles also include leadership in the Georgia Tech Information Security Center (GTISC) from 2012 to 2015. Dr. Lee holds a Ph.D. in Computer Science from Columbia University (1999). His research focuses on systems and network security, including botnet detection, malware analysis, and secure software development. Notable contributions include co-founding Damballa, Inc. (2006), a cybersecurity firm targeting botnet mitigation. His research interests span anomaly detection, adversarial machine learning, and privacy-preserving technologies. Recent work emphasizes AI-driven security solutions, IoT protection, and cyber-physical system resilience. Lee’s projects are funded by NSF, DHS, DoD, and industry partners. Key awards include the USG Regents Professorship and the John P. Imlay Jr. Chair. He has authored over 100 publications, with many highly cited in cybersecurity domains. His affiliations include the School of Cybersecurity and Privacy, CERCS, and the Online Master of Science in Computer Science (OMSCS) program.

Brendan SaltaformaggioView profile

Associate Professor

• Computer Systems Security
• Cyber Forensics
• Threat Intelligence
• +3 more

Brendan Saltaformaggio is an Associate Professor in the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering at the Georgia Institute of Technology, with a courtesy appointment in the School of Computer Science. He leads the Cyber Forensics Innovation (CyFI) Lab, focusing on advanced cybercrime investigation and malware analysis in mobile/IoT environments. His research spans computer systems security, cyber forensics, and untrusted software vetting. He has received funding from the ONR, DARPA, and NSF, among others. His work has been recognized with awards such as the ACM SIGSAC Doctoral Dissertation Award and Best Paper distinctions at top security conferences. Saltaformaggio earned his B.S. in Computer Science from the University of New Orleans (2012), and his M.S. and Ph.D. from Purdue University (2014, 2016). His research has led to impactful contributions, including the removal of malicious software packages from platforms like PyPI and the collaboration with the FBI on smart contract fraud investigations. Key achievements include developing frameworks like DSCRETE (Best Student Paper at USENIX Security 2014) and GUITAR (Best Paper at CCS 2015). His recent publications address topics such as botnet remediation, AI-driven forensic analysis, and cryptocurrency fraud detection. He actively contributes to the security community through conference tutorials and media outreach, with his work featured in outlets like IEEE GlobalSpec, TechRadar, and Communications of the ACM.

Gokila DoraiView profile

Assistant Professor

• Digital Forensics
• Mobile Data Analysis
• Internet of Things (IoT)
• +5 more

Dr. Gokila Dorai is an Assistant Professor at Augusta University's School of Computer and Cyber Sciences , specializing in Digital Forensics with applications to Mobile and IoT Devices . She holds a Ph.D. in Computer Science and has developed targeted data extraction models for evidence retrieval using Machine Learning and Computer Vision . Education: Ph.D. (2019), MS (2016) from Florida State University, BE (2007) from Anna University Her research focuses on AI-based digital forensics , user data privacy , and security solutions for wearable and IoT devices. She has pioneered frameworks for privacy-preserving data access and blockchain-based forensic provenance . Recent publications demonstrate her expertise in mobile forensics (Amazon/Etsy apps), blockchain frameworks (ForensiBlock), IOT security (FLARE system), and privacy policy analysis using NLP techniques. NSA Cybersecurity Research Innovation Grant ($494,999.51) NSF Research Grant ($569,500) with socio-technical framework AURI Emerging Scientist Award Golden Pen Award Dr. Dorai actively mentors students through programs like Scholarship for Service (SFS) , CURS Research , and Phi Kappa Phi conferences. She leads the Digital Forensics & AI Research Lab (DFAIR Lab) in Augusta University's Georgia Cyber Center, fostering collaborations between academia, government, and industry.