Find Academic Supervisors

August SeeView profile

Researcher

• Bot Detection
• Protocol Analysis
• Automated Binary Analysis
• +3 more

Dr. August See is a Researcher/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Computer Science. His primary role is within the Computer Networks research group, focusing on bot detection, protocol analysis, and automated binary analysis. He is based in Office F-616 and can be reached via email at see@informatik.uni-hamburg.de or by phone at +49 40 42883 2329. His research interests include detecting and mitigating illegitimate bot activities through methods like keystroke dynamics analysis, mouse behavior monitoring, and homomorphic encryption. He has contributed to developing polymorphic protocols to counter bot influence and improving secure memory handling in web applications. Recent work emphasizes accelerating reverse engineering processes through novel 'point-of-interest beacon' techniques. Dr. See has published nine peer-reviewed articles between 2021-2024, with a focus on cybersecurity, network security, and data privacy. His collaborations include Prof. Mathias Fischer and researchers like Tatjana Wingarz and Kevin Röbert. While no specific awards are listed, his work demonstrates impactful contributions to automated threat detection and protocol security. He advises students on thesis topics involving cryptography, reverse engineering, and machine learning applications in security. His research integrates both theoretical protocol design and practical implementations in networked systems.

Biju IssacView profile

Associate Professor

• Cyber Security
• Networks (Wired/Wireless)
• Artificial Intelligence/Machine Learning
• +4 more

Dr. Biju Issac is an Associate Professor and Head of Subject (Networks and Cyber Security) at Northumbria University's Computer and Information Sciences Department. He directs the Academic Centre of Excellence in Cyber Security Research (ACE-CSR) and leads the CyberNets Research Group. With a PhD in Networking and Mobile Communication, he holds a Chartered Engineer (CEng) certification and is a Senior Fellow of the Higher Education Academy (HEA). Affiliations: Editor-in-Chief of the International Journal of Information and Computer Security, Alan Turing Institute collaborator, and former Programme Leader for BSc (Computer Networks and Cyber Security) and BSc (Computer and Digital Forensics). Education: PhD (Networking & Mobile Communication), MCA (First Class), BE in Electronics and Communication Engineering. Research Interests: Cybersecurity (malware/botnets), AI/ML applications, IoT security, satellite/drone networks, secure routing protocols, Android security, and cloud computing optimizations. His Northumbria Cyber Clinic partners with law enforcement (NEBRC) to train students as ethical hackers and protect local businesses. Notable awards include the 'Innovator of the Year' (Dynamites 2020) and finalist for Excellence in Cybersecurity (IET 2020). Key Projects: Funded projects with Lockheed Martin Space (vulnerability detection tool) and the Alan Turing Institute (AI security for defense). Supervises PhD students in AI-driven cybersecurity, ransomware detection, and federated learning applications. Professional Activities: Editorial roles in journals like IEEE Access, peer-reviewer for multiple publications, and advisor to the EPSRC Peer Review College.

• Machine Learning
• Deep Learning
• Network Security
• +5 more

Ayman Yafoz is an active Associate Professor in the Department of Computer Science at Alexandria University's College of Engineering. His research bridges computer science and engineering with a focus on practical security and optimization applications. His scholarly output includes 60 publications with an h-index of 12, demonstrating consistent contributions to his fields of expertise. Dr. Yafoz's research interests center on the intersection of optimization algorithms and machine learning/deep learning techniques. His work spans network security, intrusion detection systems, medical image analysis, Arabic language processing, and IoT security applications. He frequently develops novel hybrid models that combine metaheuristic optimization approaches with neural network architectures to solve complex real-world problems. His publication portfolio reveals strong trends in security applications, with approximately 60% of his recent work focused on various aspects of cybersecurity including intrusion detection, botnet detection, and encryption. Another significant portion addresses medical imaging and accessibility technology, demonstrating his commitment to applying computational methods to healthcare challenges. Dr. Yafoz maintains active research collaborations with scholars across the Middle East, particularly with co-authors Raed Alsini, Omar Alghushairy, and Khaled Tarmissi. His work appears primarily in engineering journals with notable publications in Alexandria Engineering Journal, IEEE Access, and Sustainability.

Mazdak ZamaniView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Digital Watermarking
• +5 more

Dr. Mazdak Zamani is an Associate Professor of Cybersecurity and Associate Dean of Computer Science and Cybersecurity at Felician University , NJ. He earned his PhD in Computer Science from Universiti Teknologi Malaysia in 2011. His research focuses on Cybersecurity and Artificial Intelligence , with publications spanning video watermarking , IoT authentication , mobile cloud security , and digital forensics . His recent work addresses heterogeneous device authentication and optimized steganography for secure data transmission. 2019 : Video watermarking performance evaluation, data mining for energy systems 2018 : LSB image steganalysis, spatial domain watermarking 2017 : Botnet forensics, illumination normalization for face recognition 2016 : Mobile cloud authentication, image/video watermarking techniques At Felician, he teaches Network Security , Digital Forensics , and Advanced Cryptography . Previously, he served as a Senior Lecturer at Universiti Teknologi Malaysia and as an Assistant Professor at Wenzhou-Kean University .

Seibu Mary JacobView profile

Senior Lecturer

• Mathematics Education
• Engineering Education
• Machine Learning
• +14 more

Dr Seibu Mary Jacob is a Senior Lecturer in Analytical Methods/Engineering Mathematics at the School of Computing, Engineering and Digital Technologies, Teesside University, where she has been since 2014. She is a Senior Fellow of the Higher Education Academy (HEA) and leads the pedagogic research group STEAMEDULAB@TU. She teaches modules including Engineering Mathematics, Probability & Statistics, Statistical Analysis, and History/Philosophy of Mathematics at both undergraduate and postgraduate levels, including Masters project supervision. Education: BSc in Mathematics MSc in Mathematics BEd in Mathematics Education PhD in Mathematics Education (focus: Critical Thinking in Online Engineering Mathematics) Postgraduate Diploma in Computer Applications (PGDCA) Her research lies at the intersection of applied mathematics, statistical modeling, machine learning, and educational technology. She investigates how AI, especially Generative AI, can enhance student engagement, critical thinking, and inclusive learning. Her work also extends into cybersecurity, where she applies machine learning to detect Android malware, spam emails, and cyber-hate using techniques such as graph neural networks, fuzzy systems, and adversarial defense mechanisms. The recent publications reveal a strong trend in applying machine learning to security challenges—particularly in adversarial environments—while maintaining a parallel focus on pedagogical innovation and the impact of digital tools on education. Her interdisciplinary approach combines technical rigor with social responsibility, emphasizing diversity, inclusion, and community impact. Scientific Awards and Recognitions: Senior Fellow of the Higher Education Academy (HEA) Microsoft Certified Educator (MCE) Dr Jacob is actively involved in PhD student supervision and community projects promoting STEM education, especially for marginalized groups. She is passionate about policy development and curriculum internationalization in mathematics and engineering education. Her research has been supported through institutional affiliations and collaborations, particularly with IEEE, where several of her works are published. She leads the STEAMEDULAB@TU research group, which focuses on innovation in digital pedagogy, including projects on collaborative learning models, U-learning, and learner engagement through technology-enhanced environments.

• System Security
• Privacy
• Cybersecurity
• +3 more

Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).

Giovanni VignaView profile

Professor

• Cybersecurity
• Malware Analysis
• Web Security
• +4 more

Giovanni Vigna is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB) and Director of the NSF AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION). He is also the co-founder and former CTO of Lastline, Inc., now part of Broadcom. His research focuses on cybersecurity, including malware analysis, vulnerability assessment, and applications of AI to security challenges. He holds a Ph.D. from Politecnico di Milano. Education: Ph.D. in Electronic Engineering, Politecnico di Milano, Italy, 1998 M.S. (with honors) in Electronic Engineering, Politecnico di Milano, Italy, 1994 Research Interests: Malware Analysis & Detection Web and Mobile Security Cyber Threat Intelligence AI-driven Security Solutions Botnet Tracking & Analysis Awards: IEEE Fellow ACM Fellow Leadership & Initiatives: Organizer of the iCTF (International Capture The Flag) hacking competition Founder of the Shellphish security research group Director of the UCSB Security Lab (iSeclab) Labs & Teams: Leads the Threat Analysis Unit at Broadcom's ANS division and collaborates with industry partners like VMware.

Angelo SpognardiView profile

Associate Professor

• Information Security
• Social Media Fake Phenomena
• Network Security
• +5 more

Angelo Spognardi is an Associate Professor in the Department of Computer Science at Sapienza University of Rome, leading the Network Security Lab group since March 2020. He teaches courses including Practical Network Defense and Programming Unit 2 for Computer Science and Cybersecurity programs. His research spans information security , with emphasis on fake phenomena in social media , fake content analysis in review systems, adversarial machine learning , and network security for resource-constrained devices . His work integrates bio-inspired models for bot detection and focuses on resilient metrics against disinformation campaigns. Recent publications explore LLM-powered bot detection and IPv6 security. He leads the Prebunking research project predicting coordinated inauthentic behaviors in social media. His lab promotes initiatives like CyberX Mind4Future , offering cybersecurity training with virtualized labs and hackathons. Master's students in Cybersecurity under his guidance achieve 100% placement with top salaries in Italy. Spognardi maintains active collaborations with the Sysma group at IMT Lucca and previously worked with DTU IoT Center and CNR's Institute of Informatics and Telematics. His industry impact includes frameworks like SafeDroid for Android malware detection and analyses of IoT broker vulnerabilities.

Michael A. ComberView profile

Adjunct Professor

• Fraud
• Corruption
• Healthcare Law
• +5 more

Michael A. Comber serves as an Adjunct Professor at Duquesne University School of Law while maintaining an active legal practice. He is a Partner at Farrell & Reisinger, LLC, specializing in government and regulatory investigations involving fraud, corruption, healthcare, cybercrime, and environmental matters. Previously, he served thirteen years as an Assistant United States Attorney for the Western District of Pennsylvania, including nine years as Chief of the Civil Division leading eleven attorneys. His professional expertise centers on complex criminal and civil litigation, with deep specialization in financial fraud, healthcare fraud, corporate embezzlement, international drug trafficking, and cybercrime investigations. He has handled landmark cases including the dismantling of the GameOver Zeus botnet and the global settlement with Education Management Corp. His teaching focuses on applying real-world investigative techniques to legal education. Professional recognitions include: Attorney General’s Distinguished Service Award for dismantling the GameOver Zeus botnet Council of Inspectors General Award for Excellence for the EDMC global settlement Comber also served as a Hearing Officer for the September 11th Victim Compensation Fund and chaired the Federal Courts Section of the Allegheny County Bar Association (2018-19). His legal career spans international law firm practice in Pittsburgh and Frankfurt, regional firm experience, and early service at the Allegheny County District Attorney's office. His adjunct role bridges academic instruction with current regulatory enforcement practices.

Ryan K. J. DickeyView profile

Lecturer

• Cyber Law
• Computer Crime
• Intellectual Property Law
• +1 more

Ryan K. J. Dickey serves as a Professorial Lecturer in Law at George Washington University Law School, teaching Computer Crime Law (course 6369), while concurrently holding the position of Director and Assistant General Counsel for Cyber at Capital One. His dual expertise bridges academia and industry in high-stakes cyber legal domains. Education: BS, University of Virginia JD, Boston University Specializing in cyber law and computer crime, Dickey leverages over a decade of federal prosecution experience from the Department of Justice’s Computer Crime and Intellectual Property Section and the Eastern District of Virginia’s Cybercrime Unit. His work focuses on real-world applications in intellectual property law, cybersecurity policy, and digital forensics, directly informing his academic instruction on evolving cyber threats and legal countermeasures. Scientific Awards: 2023 Assistant Attorney General’s Award for Distinguished Service 2021 Attorney General’s David Margolis Award for Exceptional Service (DOJ’s highest honor) 2021 Europol Excellence Award in Innovation 2019 Attorney General’s Award for Distinguished Service 2018 Anti-Defamation League’s SHIELD Award 2018 Attorney General’s John Marshall Award 2018 Int’l Association of Chiefs of Police’s Excellence in Criminal Investigations Award No student advising details or grant activities are documented in available records. His professional trajectory emphasizes practical cybercrime disruption—evidenced by botnet takedowns and prosecutions of swatting, child exploitation, and malware operations—rather than traditional academic research teams or laboratories.

Michael J. SaleView profile

Professor

• Legacy Software Maintenance
• Information Technology Auditing
• Big Data and Machine Learning
• +4 more

Michael J. Sale serves as the Associate Dean of the Leo J. Meehan School of Business, Chair of Management & Business Analytics, and Program Director for the Management Information Systems and Data Analytics Minor at Stonehill College. He joined Stonehill in 2007 as a part-time faculty member and was appointed to the full-time faculty in 2014. Dr. Sale's educational background includes: Doctor of Professional Studies in Computing, Pace University, NY Master of Science in Management, Bridgewater State College, MA Bachelor of Science in Management Information Systems, Bridgewater State College, MA His research focuses primarily on legacy software maintenance practices. Additionally, he has published in information technology auditing in higher education, big data and machine learning algorithms, and the application of Agile and Scrum software engineering methodologies in academic research and teaching. Dr. Sale's scientific recognition includes: SAS Distinguished Educator (2023) He has advised numerous student research projects and independent studies covering biometrics, technology and pedagogy, and botnet propagation models. Dr. Sale also serves as an advisor for the Distributed Education Clubs of America (DECA) and maintains active professional memberships in the Academy of Management, Agile Alliance, American Statistical Association, Association for Computing Machinery, and Decision Sciences Institute.