Find Academic Supervisors

• Artificial Intelligence
• Cyber Security
• Quantum Cryptography
• +13 more

Dr Mujeeb Ur Rehman is a Senior Lecturer in Computer Science at the School of Computer Science and Informatics, De Montfort University, UK. He has over 10 years of academic experience, having taught and researched at institutions including the University of Glasgow and York St John University. His work bridges artificial intelligence, cybersecurity, and digital healthcare, with a focus on secure and intelligent systems. PhD in Applied AI and Cyber Security MS in Engineering (Gold Medalist) BS in Engineering (Distinction) His research interests include Artificial Intelligence, Cyber Security, Quantum Cryptography, AI for Healthcare, Homomorphic Encryption, Zero-Knowledge Proof, Internet of Medical Things (IoMT), and Data Science. He applies machine learning and chaos theory to develop secure systems for healthcare, IoT, and post-quantum environments. The recent publications show a strong trend in hybrid security systems combining AI, chaos, quantum operations, and DNA encoding for medical data, IoT, and image encryption. His work emphasizes privacy-preserving models, lightweight cryptography, and robustness against noise and attacks. Best Paper Award, ICOTEN 2021 Best Paper Award, ICACIN 2021 Global Talent in AI and Cyber Security, Royal Academy of Engineering (UK), 2022 Distinction in BS Engineering Gold Medal in MS Engineering PhD Studentship Award Dr Rehman has successfully secured multiple research grants as Principal Investigator from Innovate UK, King Khalid University, and internal DMU funding. He has supervised numerous PhD, MSc, and undergraduate students. His consultancy includes projects with Abu Dhabi University and King Khalid University on UAV security and medical image encryption. He is actively involved in research groups including the Digital Research Communications and Responsible Innovations, Cyber Technology Institute (CTI), and Institute of Artificial Intelligence (IAI) at DMU.

Trinabh GuptaView profile

Associate Professor

• Operating Systems
• Distributed Systems
• Computer Security
• +3 more

Trinabh Gupta is an Associate Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB). Previously, he was a postdoctoral researcher at Microsoft Research Redmond. He holds a PhD from The University of Texas at Austin and a BTech from IIT Delhi. His research focuses on secure systems, privacy-preserving technologies, and applying cryptographic techniques to real-world systems. Education: PhD in Computer Science (UT Austin, 2017); BTech in Computer Science and Engineering (IIT Delhi, 2009). Research Interests: Building systems with strong security and privacy guarantees, including private information retrieval, federated learning, and cryptographic protocols. He emphasizes practical implementations, such as systems for secure media delivery and email privacy. Teaching: Courses include CS170 (Operating Systems), CS178 (Cryptography), and CS293G (Advanced Topics in Computing on Encrypted Data). Courses emphasize hands-on labs and critical analysis of cryptographic systems. Key Contributions: Developed systems like HADES, Coeus, and Addra, which apply theoretical constructs to real-world privacy challenges. His work spans secure distributed systems, federated learning, and oblivious data retrieval.

Lorenzo Dalla CorteView profile

Assistant Professor

• Cybersecurity Law
• Data Protection
• Privacy Law
• +3 more

Lorenzo Dalla Corte is an Assistant Professor in privacy and cybersecurity law at the Tilburg Institute for Law, Technology and Society (TILT) within Tilburg Law School, Tilburg University. He specializes in data protection, cybersecurity, and socio-technical regulation. Previously, he held roles as a postdoctoral researcher at TILT, honorary lecturer at the Australian National University, and doctoral researcher at TU Delft. His expertise includes smart city development, data privacy, and compliance frameworks. He actively participates in projects like INTERSCT (Internet of Secure Things) and ENCRYPT (privacy-preserving technologies). His research focuses on legal standards in mass surveillance, necessity tests in privacy jurisprudence, and impact assessments for urban data systems. Key collaborations span European institutions and include interdisciplinary work on cybersecurity and national security. His work contributes to UN Sustainable Development Goals related to privacy and ethical technology.

Jörn Müller-QuadeView profile

Professor

• Cryptography
• IT Security
• Cybersecurity
• +6 more

Professor Jörn Müller-Quade is a leading expert in cryptography and IT security at the Karlsruhe Institute of Technology (KIT). He serves as Director of the KASTEL — Institute for Information Security and Reliability at KIT and heads the Cryptography and Security research group. Müller-Quade is also the head of the "IT Security, Privacy, Law and Ethics" working group at the Learning Systems Platform initiated by the Federal Ministry of Education and Research. His work focuses on developing secure systems that can withstand intelligent attackers through rigorous mathematical models and cryptographic methods. Professor Müller-Quade's research spans multiple critical areas of modern digital security. His primary interests include cryptography, secure multi-party computations, privacy-preserving analytics, and the intersection of artificial intelligence with security systems. He investigates how to develop security properties that can be mathematically proven, particularly against intelligent adversaries who constantly develop new attack methods. His work on cryptographic voting procedures demonstrates how seemingly contradictory requirements like ballot secrecy and verifiable counting can be simultaneously achieved. Müller-Quade also explores how AI systems change IT security landscapes, creating both new vulnerabilities and potential defense mechanisms. Analysis of Professor Müller-Quade's publications reveals consistent focus on practical security applications with societal impact. His work spans election security, patient data protection, surveillance debates, and industrial espionage prevention. A recurring theme is the need for security systems that remain robust against previously unknown attacks. His publications show increasing attention to AI's dual role in security - both as a tool for attackers and defenders. The evolution of his work demonstrates growing emphasis on European digital sovereignty and the need for mandatory cybersecurity standards. Professor Müller-Quade's notable achievements include: Receiving the German IT Security Award in 2008 for his "Bingo Voting" system Initiating and directing KASTEL, which evolved from a competence center to a permanent institute at KIT Contributing to influential white papers on AI security and medical applications of AI Providing expert testimony on critical security issues to policymakers As Director of KASTEL — Institute for Information Security and Reliability, Müller-Quade leads a major interdisciplinary research effort that brings together cryptographers, IT security experts, software engineers, lawyers, and network specialists. The institute focuses on "Engineering Secure Systems" for economically and socially relevant fields including energy, mobility, and production. Müller-Quade emphasizes the importance of evaluating security in a comprehensive manner, noting that security engineering should ideally encompass all aspects of a system. His team works closely with existing infrastructures to develop practical security solutions that address real-world challenges.

Mirko J. HelblingView profile

Lecturer

• Cyber Security
• IT Security
• Digitalization
• +4 more

Mirko J. Helbling serves as a Lecturer at the University of Applied Sciences for IT Security and Software Engineering while concurrently working as a Cyber Security Specialist in the Swiss Defense Industry. His dual-role positions him at the intersection of academic instruction and practical national security applications, with contact details including mirko-helbling@outlook.de and +41 79 12208 93. His research spans Cyber Security , IT Security , Digitalization , and Privacy , with specialized focus on quantum computing threats, cyberbullying dynamics, and surveillance societal impacts. He examines how emerging technologies challenge existing cryptographic systems and social structures, emphasizing real-world implications for individuals and economic systems through his public-facing blog contributions. Analysis of his publications reveals consistent thematic threads: quantum computing's disruption of financial cryptography, psychological and legal dimensions of online harassment, context-specific privacy threats during travel, and systemic risks of mass surveillance. His work prioritizes actionable insights for non-technical audiences while highlighting urgent security gaps in rapidly evolving digital landscapes.

• Privacy in Smart Grids
• Machine Learning
• Differential Privacy
• +6 more

Günther Eibl is a Senior Lecturer and Senior Researcher at the Salzburg University of Applied Sciences , affiliated with the Department Information Technologies and Digitalisation . He serves as Head of Research Group and Deputy Head of the Center for Secure Energy Informatics , combining 50% teaching and 50% research responsibilities. Education: MSc in Mathematics (Numerics Thesis) MSc in Physics (Plasma Physics Simulation Thesis) PhD in Machine Learning (Multiclass Boosting Thesis) Research Interests focus on Privacy in Smart Grids , including: Privacy Analyses – Using machine learning and statistics to extract information from load profiles. Privacy-Enhancing Technologies (PETs) – Historically focused on homomorphic encryption, masking, differential privacy, and wavelet analysis; current research emphasizes privacy-preserving price calculation and proving privacy properties of protocols. Scientific Contributions span 15+ years, with recent work (2025–2021) addressing: Privacy threat modeling for renewable energy communities Smart meter data anonymization Blockchain-based secure aggregation Game-theoretic privacy proofs Differential privacy in load forecasting Intrusion detection in power grids Skills include cryptography, data mining, and energy informatics, with a strong emphasis on visualization and applied statistics . He teaches applied mathematics , applied statistics , and data mining in bachelor and master programs.

• Edge AI
• Electronic Design Automation
• Federated Learning
• +3 more

Valentino Peluso is a Fixed-Term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on Edge AI , Electronic Design Automation , Federated Learning , and Low-Power Design , with applications in distributed systems and cyber-physical technologies. Associate Editor at IEEE Transactions on Circuits and Systems II (2025-) Organizer of workshops on smart grids and IoT at IEEE conferences Recipient of Politecnico di Torino's RIMINI SCHOOL 2025 badge for research funding participation His recent work explores homomorphic encryption for secure federated learning, DVFS side-channel attacks in edge inference, and energy-efficient pipeline optimization for embedded systems. Publications span IEEE Transactions, ICECS, ICCD, and VLSI-SoC conferences. Scientific Awards & Roles: RIMINI SCHOOL 2025 Certification Learning to Teach (L2T) badge Editorial contributions to IEEE journals Chair and co-chair roles in hardware/software co-design sessions He contributes to teaching in High-Level Synthesis , Machine Learning for IoT , and Efficient AI Computing at both PhD and MSc levels.

• Computer Adaptive Testing
• Database Management
• Software Engineering
• +7 more

Dr. Svetlana Andjelic is a prominent researcher at Singidunum University, with a career spanning over two decades in educational technology, information systems, and machine learning applications. She holds a PhD in Management of Information Systems from "Union" University (2010), a Master's in Electronic Business from University of Belgrade (2007), and a specialist degree in Electronic Business (2005). Her work focuses on computer adaptive testing, database applications, and digital transformation in education. Education PhD in Management of Information Systems (2010), Faculty of Engineering Management, "Union" University Master's in Electronic Business (2007), Faculty of Organizational Sciences, University of Belgrade Specialist in Electronic Business (2005), Faculty of Organizational Sciences, University of Belgrade BSc in Information Systems (2001), Faculty of Organizational Sciences, University of Belgrade Her research explores: computer adaptive testing for knowledge assessment, database management systems, software engineering methodologies, cloud computing security, and educational technology implementation during crises. She has co-authored multiple books including "Application of databases" (2022) and "WPF and ASP.NET Framework" (2016). Recent publications demonstrate her evolving focus from educational assessment tools to modern security challenges and renewable energy forecasting. She collaborates extensively across Serbian institutions on topics ranging from rural tourism digitalization to banking sector innovations.

• Discrete Mathematics
• Coding Theory
• Algorithms
• +6 more

Assoc. Prof. Zlatko Georgiev Varbanov is a distinguished academic at the Faculty of Mathematics and Informatics, University of Veliko Tarnovo (Bulgaria). With expertise spanning discrete mathematics, coding theory, and software development, he has established himself as a prominent researcher in both theoretical and applied computer science domains. His scholarly work bridges mathematical theory with practical implementations, particularly in DNA coding, quantum error correction, and software engineering principles. Dr. Varbanov's research interests encompass a diverse range of topics including Discrete Mathematics, Coding Theory, Algorithms, Programming, DNA codes, Quantum codes, and Information security. His scholarly work demonstrates a consistent focus on the intersection of algebraic structures and practical coding applications, with particular emphasis on self-dual codes over finite fields and their applications in DNA computing and quantum information theory. In software engineering, he has made significant contributions to design patterns, asynchronous programming in C#, and static site generation techniques. Analysis of Dr. Varbanov's recent publications reveals a dual research trajectory: one strand focusing on theoretical aspects of coding theory (particularly DNA codes and quantum codes), and another addressing practical software engineering challenges. His work on design patterns, SOLID principles, and asynchronous programming in C# demonstrates his commitment to improving software development practices. The publications on static site generation and data storage services reflect his engagement with contemporary web development technologies and their optimization. Dr. Varbanov has been actively involved in numerous research projects, with current engagements extending into 2025. These projects focus on AI-driven information systems, mobile technologies for students with special needs, digital accessibility for visually impaired users, and enhancement of research indicators for faculty members. His collaborative work spans multiple institutions and demonstrates a strong commitment to both theoretical research and practical applications that address real-world challenges.

• Quality of Experience (QoE) of Internet applications
• Artificial intelligence and machine learning for communication networks
• Measurement and analytics of encrypted network traffic
• +5 more

Prof. Dr. Michael Seufert is a Full Professor and Chairholder at the University of Augsburg since October 2023, leading the Chair of Networked Systems and Communication Networks within the Faculty of Applied Computer Science. Previously, he served as a Private Lecturer at the University of Würzburg and completed his Habilitation in Computer Science there in 2023. His academic journey includes a PhD in Computer Science from the University of Würzburg (2017) with a thesis on Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming, which earned him two prestigious Best Dissertation Awards. His research focuses on Quality of Experience (QoE) of Internet applications, artificial intelligence and machine learning for communication networks, measurement and analytics of encrypted network traffic, and data-driven proactive user-centric network management solutions. His work bridges theoretical foundations with practical applications in network monitoring, security, and performance optimization. Recent research has increasingly incorporated machine learning techniques to address challenges in network management, traffic analysis, and user experience assessment. Prof. Seufert's publication record shows a clear evolution from foundational work on QoE modeling and HTTP adaptive streaming toward more sophisticated applications of machine learning in network operations. His recent publications (2023-2025) demonstrate a strong emphasis on practical ML applications for network monitoring, security, and optimization, with particular attention to real-world constraints and performance requirements. The research spans multiple subfields including encrypted traffic analysis, explainable AI for network management, edge computing, and quality assessment for emerging applications. CNOM Young Professional Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) (2024) Best Dissertation Award 2018 of KuVS (Communication and Distributed Systems) special interest group Best Dissertation Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) Prof. Seufert actively supervises research projects and advises students through thesis projects and practical modules. His teaching portfolio includes Communication Systems, Management of Communication Networks, Practical Introduction to Internet-Technologies, and seminars on Networked Systems. He leads a research group focused on networked systems and communication networks, with current projects exploring machine learning applications in networking, as evidenced by the organization of the 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025).

Erivelton NepomucenoView profile

Associate Professor

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +6 more

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

Mai AbdelhakimView profile

Associate Professor

• Cybersecurity
• Cyber-Physical Systems
• Artificial Intelligence
• +4 more

Dr. Mai Abdelhakim is an Associate Professor at the University of Pittsburgh's Swanson School of Engineering, specializing in Electrical and Computer Engineering. Her research focuses on cybersecurity, cyber-physical systems, and artificial intelligence, particularly in designing secure and reliable IoT-enabled infrastructure. PhD in Electrical Engineering, Michigan State University MS and BS in Electronics and Communications Engineering, Cairo University Her work leverages stochastic analysis, information theory, and machine learning to address challenges in wireless communications and network security. She has published extensively on topics like multihop IoT networks, anomaly detection in autonomous vehicles, and robust image watermarking. Dr. Abdelhakim has received the University of Pittsburgh’s Innovation in Education award (2023) and serves as a Senior Editor for IET Communications since 2023. Her collaborations span cybersecurity, wireless systems, and machine learning applications in network reliability.

• Management Information Systems
• Workflow Management
• Complex Event Processing
• +7 more

Dr. Yiannis Verginadis is an Assistant Professor in Management Information Systems at the Department of Business Administration, Athens University of Economics and Business (AUEB). With over 15 years of experience in ICT projects, his research focuses on management of information systems workflow management complex event processing cloud computing and security adaptive systems context-aware access control He holds a Diploma and Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, specializing in inter-organizational workflow systems for e-Government. His career includes adjunct lecturer roles at the University of Thessaly and Technological Educational Institute of Kalamata. Research trends from his publications include: Cloud continuum brokerage and decentralized data management (2023-2025) Attribute-based access control for healthcare data (2021-2024) Workflow optimization in multi-cloud environments (2016-2023) Federated learning applications (2022-2024) Event-driven architectures and ontological modeling (2009-2021) Security-by-design frameworks (2013-2021) Dr. Verginadis has authored a book on Information Management Systems and contributed to works on e-Participation, adaptive web services, and ambient assisted living systems. He has served on over 25 journal and conference review committees and published 60+ peer-reviewed papers.

• Advertising
• Public Relations
• Social Media Communication
• +6 more

JUAN MANUEL CORBACHO VALENCIA is a Full-Time Professor at the University of Vigo , affiliated with the Faculty of Social Sciences and Communication in the Audiovisual Communication and Advertising department. With a doctorate in Audiovisual Communication (2008), his work focuses on digital communication, event management, and fact-checking practices. Education: Doctorate in Audiovisual Communication (University of Vigo, 2008) Advisors: Dr. Alberto Pena Rodríguez Research Interests span diverse areas including: Fact-Checking across social media platforms (Instagram, Facebook, Telegram) with emphasis on disinformation combat and engagement metrics Event Organization analyzing technological integration and pandemic-era adaptations Nation Branding exploring the disparity between internal and external country perceptions Digital Advertising covering creative trends and economic bid evaluations Political Communication through case studies of emerging digital parties Educational Innovation in audiovisual production models and protocol teaching Publication Trends show a strong focus on disinformation (2020-2021) and event spectacularization (2023). His work combines theoretical approaches with practical case studies from European and Iberoamerican contexts.

Cüneyt BAYILMIŞView profile

Professor

• Internet of Things
• Computer Vision
• Wireless Networks
• +8 more

Prof. Dr. Cüneyt BAYILMIŞ is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. He has been serving in this position since 2021, following his promotion from Associate Professor (2015-2021). His academic career at Sakarya University spans over 15 years, with previous appointments in the Faculty of Technology and Faculty of Technical Education. Dr. BAYILMIŞ earned his Doctorate in 2006 from Kocaeli University with a thesis on "Design of an interconnection unit that extends CAN segments using IEEE 802.11B clan," followed by a Master's degree in 2003 and Bachelor's degree in 2001, both from Sakarya University. His research spans multiple domains in computer engineering, with a strong focus on Internet of Things (IoT) , Computer Vision , Wireless Networks , and Cyber Security . His work demonstrates significant contributions to real-time systems, object detection, and lightweight cryptographic solutions for resource-constrained IoT devices. His recent publications show increasing interest in quantum neural networks for security applications and autonomous charging systems using computer vision. Dr. BAYILMIŞ's publication record reveals a consistent research trajectory focused on practical applications of networking technologies, with recent works emphasizing disaster management systems, D2D communication for public safety networks, and advanced techniques for IoT security. His research bridges theoretical concepts with real-world implementations, particularly in specialized domains like shore-to-ship charging and medical monitoring systems. As an academic advisor, Dr. BAYILMIŞ has supervised multiple graduate students, including doctoral candidate İSMAİL KIRBAŞ and master's students İBRAHİM NALBATCI, GAMZE DOĞALI, and ZUHAL YILDIRIM. His teaching portfolio includes courses on IoT applications, microprocessor systems, wireless network technologies, and computer engineering design. He has co-authored the book "Nesnelerin İnternet'i: Teori ve Uygulamaları" (2019) and contributed a chapter on "Yapay Zeka Dijital Sistemler ve Uygulamaları" (2021), demonstrating his commitment to knowledge dissemination in emerging technology fields.