Find Academic Supervisors

• Parallel and Distributed Systems
• Cloud Computing
• Computer and Communication Networks
• +12 more

Deniz Turgay Altılar is a Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He has been an active academic since 1988, progressing from Research Assistant to Associate Professor in 2013 and later achieving the rank of Professor. His work is centered on distributed systems, cloud computing, and computer networks, with expanding interests in AI applications for agriculture and healthcare. Education Bachelor of Science, Control and Computer Engineering, Istanbul Technical University (1984–1988) Master of Science, Computer Engineering, Istanbul Technical University (1988–1992) Research experience at Queen Mary and Westfield College, University of London (1998–2002) His research interests include parallel and distributed systems, cloud computing, secure computation, deep learning, and cybersecurity. He applies these to interdisciplinary domains such as corn yield prediction, radar identification, and medical diagnostics using ECG signals. His recent work emphasizes efficient and secure AI systems. The publication trends show a strong focus on distributed deep learning, straggler mitigation, secure multiparty computation, and hardware-based attack detection. His work bridges theoretical computer science with real-world applications in agriculture, medicine, and national security. Recent articles highlight innovation in lightweight AI models, privacy-preserving computation, and cross-layer system design. Scientific Awards No specific awards are mentioned in the provided text. He actively supervises students and leads major research projects, including those on cache side-channel attacks in multi-tenant clouds, distributed OpenCL platforms, real-time scheduling, and molecular communication in nano-networks. These projects reflect sustained external funding and leadership in cutting-edge computing domains. His research group collaborates across disciplines and institutions, contributing to both national and international scientific communities. Labs and Teams : While not explicitly named, his role as Principal Investigator on multiple projects suggests leadership in a research lab focused on distributed systems, cybersecurity, and applied AI at ITU.

Silvia Llorente ViejoView profile

Assistant Professor

• Computer Science
• Computer Architecture
• Telecommunications Engineering
• +5 more

Assistant Professor at the Polytechnic University of Catalonia 's Barcelona School of Informatics , specializing in Computer Architecture and Genomic Data Security . Research focuses on: Secure genomic information representation (MPEG-G, FAIR principles) Medical device cybersecurity (MedSecurance project) Privacy-preserving health data systems (HIPAMS, GIPAMS) Digital rights management for multimedia and health content Watermarking techniques for data leak detection Recent publications address cybersecurity challenges in interconnected medical devices, reversible fingerprinting for genomic data, and compliance with international standards like ISO/IEC 23092. Key collaborators include researchers from health informatics and multimedia standardization fields.

Wayne Chris HenryView profile

Assistant Professor

• Cybersecurity
• Offensive Cybersecurity
• Software Reverse Engineering
• +7 more

Lt Col Wayne Chris Henry is an Assistant Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. He is actively engaged in teaching, research, and leadership in cybersecurity, particularly in space systems and offensive cyber operations. Education: Ph.D., Electrical Engineering, Air Force Institute of Technology, 2020 M.S., Computer Engineering, Air Force Institute of Technology, 2011 B.S., Computer Engineering, Pennsylvania State University, 2004 His research focuses on cutting-edge cybersecurity challenges, including software reverse engineering, vulnerability analysis, IoT/embedded security, and human-machine teaming. He emphasizes practical applications in military and space contexts, aiming to strengthen cyber resilience in critical infrastructure. The most recent articles show a strong trend in space system cybersecurity, secure data distribution (DDS-Cerberus), satellite intrusion detection, and offensive cyber techniques like ROP attacks and script smuggling. His work bridges theoretical analysis with operational defense strategies. Scientific Awards: 2023 Field Grade Officer of the Year - Air University 2023 Graduate School of Engineering Management Dean's Distinguished Professor Award 2022 Field Grade Officer of the Quarter - AFIT 2019 Inducted into Tau Beta Pi (Top 20% students) 2019 Inducted into Eta Kappa Nu (Top 33% students) He mentors numerous students and researchers, particularly through collaborative publications and leadership in AFIT's first Capture the Flag team. While specific grants are not listed, his extensive publication record in defense and cybersecurity suggests active involvement in funded research projects. He is also deeply involved in cybersecurity education and curriculum development for military professionals. Dr. Henry leads and contributes to research teams focused on space cybersecurity, software analysis, and cyber education. His lab work includes developing testbeds for satellite security, designing intrusion detection scenarios, and analyzing cyber threats in RF SATCOM and embedded environments.

• 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.

Mario Di MauroView profile

Researcher

• Network Intrusion Detection
• Machine Learning
• Cybersecurity
• +6 more

Mario Di Mauro is a prominent researcher in computer science and engineering, specializing in network security, intrusion detection, and network function virtualization (NFV). His work focuses on leveraging neural networks, machine learning, and stochastic modeling to enhance availability analysis in softwarized systems and telecommunications infrastructure. His research spans critical areas such as: Neural-based intrusion detection systems Optimal configurations for high-availability telecom systems Performance evaluation of multimedia protocols over LTE Machine learning for encrypted traffic detection Key trends in his publications include hybrid active learning for video quality assessment, sensitivity analysis of NFV architectures, and the application of deep learning to network security. Collaborations with co-authors like M. Longo, F. Postiglione, and G. Galatro highlight his interdisciplinary approach.

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.

Martin ReedView profile

Professor

• Computer Networking
• Network Security
• Internet of Things Security
• +5 more

Professor Martin Reed is a Professor and Deputy Head of the School of Computer Science and Electronic Engineering at the University of Essex. His academic career spans over two decades, with significant contributions to computer networking and network security research. He has played a key leadership role in curriculum development for the school, merging the curricula of two former departments into the current structure. Martin Reed earned his PhD from the University of Essex in 1997 and completed his BEng (1st Class) with an Industrial Year at BBC Research Department from the University of Surrey in 1989. His educational background provided a strong foundation for his subsequent research career in networking technologies. Professor Reed's research focuses on computer networking and network security, with particular emphasis on Internet of Things security, Software Defined Networking (SDN) security, Information Centric Networking, and multimedia transmission over networks. His work bridges theoretical research with practical applications, addressing real-world challenges in network infrastructure. He has supervised numerous PhD students who have gone on to contribute to these fields, and his research has evolved to address emerging challenges in networked systems as technology has advanced. Analysis of Professor Reed's recent publications reveals a strong focus on applying artificial intelligence and machine learning techniques to network security challenges, particularly in the context of Software Defined Networking and Internet of Things environments. His work demonstrates a progression from traditional network security approaches to more sophisticated, AI-driven solutions that can adapt to evolving threats. There's also a clear trend toward addressing security challenges in distributed and edge computing environments, reflecting the changing landscape of networked systems. Professor Reed has successfully secured funding from multiple prestigious sources including the European Commission, Innovate UK, and British Telecommunications. His grants portfolio demonstrates his ability to translate theoretical research into practical applications with industry relevance. He has led projects focused on network security, information-centric networking, and IoT security, often collaborating with industry partners to ensure real-world applicability of research outcomes. As an academic supervisor, Professor Reed has guided numerous PhD students through their research journeys, with recent completions focusing on topics like IoT security, SDN security, and information-centric networking. His supervision record spans over a decade, showing consistent engagement with emerging research areas as the field has evolved. He also serves as an external examiner for undergraduate and postgraduate programs at multiple UK universities, contributing to academic quality assurance across the sector.

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.

Aarushi GoelView profile

Assistant Professor

• Cryptography
• Secure Multiparty Computation
• Zero-Knowledge Proofs
• +5 more

Aarushi Goel is an Assistant Professor in the Computer Science department at Purdue University , specializing in cryptography. She previously held a postdoctoral position at NTT Research's CIS Lab under Sanjam Garg and earned her PhD from Johns Hopkins University in 2022, advised by Abhishek Jain. Research Focus: Designing efficient techniques for secure multiparty computation (MPC) and zero-knowledge proofs (ZKPs), with applications in privacy-preserving systems, blockchain, and cloud security. Teaching: Courses include Advanced Cryptography (CS65500) and Special Topics in Cryptography (CS59200-STC), emphasizing state-of-the-art ZKP methods and MPC protocols. Scientific Awards: Simons-Berkeley Research Fellow (2025), participating in the program "Cryptography 10 Years Later".

• 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.