Find Academic Supervisors

• Cryptography
• Cryptanalysis
• Symmetric-Key Cryptography
• +3 more

Jian Guo is an Associate Professor (with tenure) at Nanyang Technological University (NTU) in Singapore, affiliated with the School of Physical and Mathematical Sciences and holding a courtesy appointment in the College of Computing and Data Science. His research focuses on cryptography, particularly cryptanalysis, design and implementation of symmetric-key algorithms (hash functions, block ciphers, authenticated encryption), and privacy-preserving technologies. PhD in Mathematical Sciences (2007-2010), supervised by Huaxiong Wang, and BEng in Computer Engineering (2003-2006) with First Class Honors from NTU. Jian leads the Cryptanalysis Taskforce at NTU and has published extensively in cryptography. His work includes breaking the full Kravatte PRF design (FSE 2018 Best Paper) and improving related-key boomerang attacks against AES-256 (ACISP 2022 Best Paper). His research also targets cryptographic standards like SHA-3 and AES Hashing, evidenced by a 2021 eprint preimage attack publication. He has received multiple accolades including the NTU/SPMS Young Researcher Award (2021), Collaborative Research Award (2022), and Accelerating Creativity and Excellence Award (2020). He serves on the IACR Board of Directors (2020-present), chairs major conferences (Asiacrypt 2023, Asiacrypt 2021), and contributes to international standardization efforts (ISO/SC27/WG2, Singapore representative since 2017). As a Principal Investigator, he collaborates with industry partners like LatticeX Foundation (2022-2025) and previously PayPal Inc (2021-2023). He actively mentors PhD and postdoc candidates, with ongoing openings jointly advertised at Wuhan University (2025) and Tsinghua University (2024).

Ünal ÇAVUŞOĞLUView profile

Associate Professor

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +6 more

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.

Abdullah SEVİNView profile

Assistant Professor

• Cryptography
• Internet of Things
• Blockchain
• +3 more

Abdullah SEVİN serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, a position held since 2017. Previously, he worked as a Research Assistant at Sakarya University (2009-2011) and American University of Sharjah (2014). His academic credentials include: Doctorate in Computer Engineering, Sakarya University (2011-2016), Thesis: A NEW MEDIA ACCESS CONTROL PROTOCOL WITH QUALITY OF SERVICE SUPPORT FOR WIRELESS BODY AREA NETWORKS Master's in Electronics and Computer Education, Sakarya University (2008-2011) Bachelor's in Computer Systems Teaching, Sakarya University (2004-2008) Dr. SEVİN's research integrates advanced cryptographic methods with emerging technologies. His primary expertise spans Cryptography—including hash functions, lightweight cryptography, and Torus fully homomorphic encryption (TFHE)—alongside Blockchain systems, Internet of Things (IoT) communication protocols, and Parallel Computing architectures. His performance analysis focuses on security testing of IoT application layers and cryptographic implementations, emphasizing real-world system optimization. No scientific awards were documented in the source material. Details regarding student supervision, research grants, laboratory facilities, or collaborative teams were not provided in the available text.

Tom BarbetteView profile

Assistant Professor

• High-Speed Networking
• Network Function Virtualization (NFV)
• Load-Balancing
• +3 more

Tom Barbette is an Assistant Professor in the Computer Engineering Center (INGI) department at the Louvain Polytechnic School (EPL) of Université catholique de Louvain (UCLouvain), Belgium. He leads the Efficiency of Networked Systems Group , focusing on programmable networks, SmartNICs, NFV, data-centers, and high-speed packet processing. PhD (2018) from Université de Liège (advisor: Laurent Mathy) Post-doctoral research at KTH, Sweden (2018-2021) and UCLouvain (2021-2022) His research explores redefining internet communication paradigms through programmable infrastructure like SmartNICs and P4. Key themes include: High-speed networking and load-balancing Sub-atomic communication models for disaggregated systems KERNEL bypass techniques for performance optimization He has contributed to major conferences like SIGCOMM, NSDI, and CoNEXT, with patents on network interface optimization. His group collaborates on projects such as: ASNI (SmartNICs programming interface) HIRT (High-speed Forward Erasure Correction) Reframer (Network stream optimization)

• Artificial Intelligence
• Machine Learning
• Probabilistic Inferencing
• +5 more

Barry Drake serves as an Adjunct Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he is also affiliated with the Faculty of Engineering and Information Technology and the Data Science Institute. Additionally, he holds the position of Co-Chief Scientist at the Digital Health Cooperative Research Centre and participates in government advisory committees. His career bridges academic research and industry application, with significant experience in translating research into practical technology solutions for business and government sectors. Drake earned his PhD in Computer Science from UNSW Australia (1998-2003) and a BSc with First Class Honors in Computer Science from UTS (1991-1996). His educational background is complemented by a Certificate of Proficiency for Radio Fitter/Mechanic Electronic Systems from the Royal Australian Navy. His research focuses on algorithms and software for practical smart systems, with particular expertise in applications of AI and machine learning, probabilistic inferencing and knowledge compilation, learning probabilistic models, and fast-efficient near-neighbor searching in ultra-high dimensional spaces. His work demonstrates a clear trajectory toward health informatics applications , especially in health systems and delivery of health services, where he has made significant contributions through projects like the Lumos statewide linkage programme. The analysis of his publication record reveals a consistent pattern of research bridging theoretical computer science with practical healthcare applications. His recent work shows increasing focus on health data integration, patient journey modeling, and privacy-preserving synthetic data generation for healthcare applications, while maintaining his foundational expertise in probabilistic models and efficient search algorithms. Inventor on 20 filed patents ORCID identifier: 0000-0003-0572-9936 Drake actively supervises Masters and PhD students according to his profile, and his funded research portfolio includes multiple grants from the Digital Health CRC and NSW Health. His industry experience, particularly his 13 years at Canon Information Systems Research Australia where he served as Senior Principal Engineer and lead researcher for machine learning, informs his approach to technology research methods from a commercial perspective. His current projects focus on the impact of integrated care in New South Wales, synthetic data generation, and patient journey modeling. As Co-Chief Scientist at the Digital Health CRC, Drake contributes to a major national initiative focused on digital health innovation. His work with the Lumos programme has created Australia's first statewide linked data asset across primary care and other health settings, providing unique insights about cross-setting healthcare utilization. This initiative represents a significant contribution to health data infrastructure in Australia.

Fernando Magno Quintão PereiraView profile

Associate Professor

• Compilers
• Code Generation
• Compiler Optimizations
• +3 more

Fernando Magno Quintão Pereira is an Associate Professor at the Federal University of Minas Gerais (UFMG), Brazil, specializing in compiler design and program analysis. His academic journey began with a Ph.D. from UCLA in 2008 under Jens Palsberg's supervision, establishing his foundation in compiler research. His research focuses on compilers , with core expertise in code generation , compiler optimizations , and static program analyses . Recent work explores quantum compilation, binary analysis, and security-aware compilation techniques. His publications reveal consistent contributions to major conferences including PLDI, CGO, and SPLASH, with emphasis on practical optimization frameworks and theoretical compiler advancements. Analysis of his 15 most recent publications (2020-2026) shows dominant themes in binary optimization (e.g., AnghaBench), security-aware compilation (e.g., Memory-Safe Elimination of Side Channels), and emerging architecture support (e.g., Quantum Computing Compilation). His work bridges theoretical compiler principles with real-world systems challenges. He actively contributes to the academic community through: Program committees for PLDI (2020-2025), CGO (2021-2026), and SPLASH conferences Leadership roles including CGO Finance Chair (2026) and PLDI Diversity & Inclusion Co-Chair (2023-2024) Organizing JENSFEST 2024 and serving on multiple conference steering committees Pereira maintains an active research group evidenced by continuous publication output and conference leadership, with his personal website ( homepages.dcc.ufmg.br/~fernando/ ) serving as a hub for his academic activities.

• Distributed Systems
• Peer-to-Peer Networks
• Service-Oriented Architecture
• +5 more

Professor Jerzy Brzeziński is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With a career spanning several decades, he has established himself as a leading researcher in distributed systems and networking, maintaining active research productivity with publications as recent as 2022. Professor Brzeziński's research interests focus on distributed systems, peer-to-peer networks, service-oriented architecture, mobile ad hoc networks, and distributed shared memory systems. His work bridges theoretical foundations with practical applications, particularly in areas like gaming platforms, secure data exchange, and reliable communication protocols. Recent publications demonstrate continued innovation in sybil-proof data exchange mechanisms and broadcast protocols for mobile networks. Analysis of his publication trends reveals an evolution from foundational work on memory systems and consistency models in the early 2000s toward more applied research in peer-to-peer systems, gaming applications, and sustainable computing in recent years. His work consistently addresses core challenges in distributed computing while adapting to emerging technological contexts. Professor Brzeziński has supervised at least 10 doctoral students throughout his career, including Andrzej Stroiński, Michał Kalewski, and Łukasz Piątkowski. His mentorship has produced significant contributions to the field, with students researching topics like Petri Net models, reliable broadcast protocols, and server synchronization. His research is characterized by strong collaborative networks, frequently working with colleagues at Poznań University of Technology and former students. This collaborative approach has resulted in numerous high-impact publications in reputable journals and conference proceedings across the distributed systems domain.

Theodosis MourouzisView profile

Assistant Professor

• Information Security
• Cryptography
• Blockchain
• +4 more

Dr Theodosis Mourouzis serves as an Assistant Professor of Information Management at the University of Nicosia and directs the MSc in Business Intelligence and Data Analytics program within the Department of Information Technologies. Academic Background: PhD in Information Security and Cryptography from University College London (UCL) MSc in Advanced Studies in Mathematics from University of Cambridge BA/MA in Mathematics from University of Cambridge Research Expertise: Dr Mourouzis specializes in information security with deep technical focus on cryptography (including symmetric/asymmetric cryptanalysis) and blockchain ecosystems . His work spans theoretical cryptanalysis of algorithms like GOST and SIMON to practical implementations such as privacy-preserving healthcare blockchain solutions. Current research emphasizes efficient blockchain design and security evaluation frameworks. Publication Trends: His 14 publications (2011-2021) reveal an evolution from foundational cryptanalysis (differential/algebraic attacks on ciphers) toward applied blockchain systems. Key thematic clusters include cryptographic security evaluation (35% of works), blockchain innovation (40%), and authentication systems (25%), demonstrating consistent technical rigor across theoretical and implementation challenges. Academic Leadership: As MSc Director, he oversees program development bridging technical cryptography research with business intelligence applications, indicating strong curriculum design capabilities and industry-academia translation focus.

Bernardi PranggonoView profile

Associate Professor

• Cybersecurity
• Internet of Things
• Computer Networks
• +3 more

Dr. Bernardi Pranggono serves as Associate Professor in Cyber Security and Computer Networks at Anglia Ruskin University's School of Computing and Information Science, Cambridge. With over 20 years of combined academic and industry experience, he previously held positions at Sheffield Hallam University, Glasgow Caledonian University, Queen's University Belfast, and the University of Leeds, alongside industry roles at Oracle, PricewaterhouseCoopers, Accenture, and Telstra. Education: PhD in Electronics and Electrical Engineering, University of Leeds, UK Master in Digital Communications, Monash University, Australia BEng in Electronics and Telecommunications Engineering, Waseda University, Japan PGCert in Learning and Teaching in Higher Education, Glasgow Caledonian University, UK Research Focus: His work centers on cybersecurity for resource-constrained IoT ecosystems, lightweight cryptographic protocols, and sustainable ICT solutions. Current investigations span IoMT security frameworks, AI-driven intrusion detection systems, green networking for smart grids, and Industry 4.0 security architectures. His approach integrates theoretical rigor with practical industry applications, particularly in healthcare and critical infrastructure protection. Publication Trends: Recent works (2021-2023) demonstrate concentrated efforts in IoT security mechanisms (35%), healthcare cybersecurity (25%), and energy-efficient computing (20%). Key patterns include development of lightweight cryptographic primitives for LoRaWAN, anomaly detection in medical IoT, and AI-enhanced security for smart grid infrastructure, reflecting strong interdisciplinary collaboration with engineering and medical researchers. Scientific Recognition: Fellow of the Higher Education Academy (FHEA) Senior Member of IEEE (SMIEEE) Research Leadership: As Principal Investigator for British Council's Going Global Partnerships project (2024) on AI data science skills for women's employability and Engineering/Mathematics Research Grant on IoMT Security (2022), he directs internationally funded initiatives. His EPSRC/FP7 project participation (INSTANT, HIPNet, PRECYSE) demonstrates sustained grant acquisition capability across cybersecurity and IoT domains. Professional Engagement: Chairs IEEE's SIG-Industrial IoT Networks, serves as Associate Editor for Frontiers journals, and provides extensive peer review services for IEEE, Elsevier, and Springer publications while maintaining active industry consultation roles.

Joshua Brandon HoldenView profile

Professor

• Number Theory
• Cryptography
• Algebra
• +4 more

Joshua Brandon Holden is a Professor of Mathematics at Rose-Hulman Institute of Technology, where he has established himself as an expert in number theory and cryptography. His work bridges theoretical mathematics with practical cryptographic applications, and he has contributed significantly to both academic research and educational initiatives at the institution. Education: PhD in Mathematics from Brown University (1998) AM in Mathematics from Brown University (1994) AB in Mathematics from Harvard University (1992) Dr. Holden's research focuses on computational number theory, discrete logarithms, algebraic number theory, and applications of number theory to cryptography. His work explores the mathematical foundations of cryptographic systems, with particular attention to the discrete exponential function and its properties. He has also pioneered interdisciplinary connections between mathematics, computer science, and art through his investigations of braids, cables, and weaves using mathematical models. His research demonstrates how pure mathematical concepts can have practical applications in information security and artistic patterns. Dr. Holden's publication record reveals a consistent focus on the intersection of mathematics and cryptography, with a special emphasis on educational applications. His work spans theoretical investigations of number-theoretic concepts, practical cryptographic implementations, and innovative approaches to teaching complex mathematical ideas. A notable trend in his research is the connection between abstract mathematical structures and tangible real-world applications, including secure communication systems and artistic patterns. Scientific Awards: Honorary Member of Upsilon Pi Epsilon (2008) Best Paper in Mechanical Engineering Division at ASEE Annual Conference (2005) Dr. Holden has led National Science Foundation-funded research projects exploring discrete logarithms and has served as a cryptography consultant for Vadium Technology, Inc. since 2003. He has advised numerous student projects and theses in mathematics and cryptography. Additionally, he has played a leadership role on campus by chairing the committee on integrating classroom technology, demonstrating his commitment to innovative teaching methods and educational technology. His book 'The Mathematics of Secrets: Cryptography from Caesar Ciphers to Digital Encryption' has made complex cryptographic concepts accessible to a broader audience. While specific laboratory information isn't provided in the text, Dr. Holden's work with wireless tablet PCs and mathematical software suggests he has been involved in developing technology-enhanced learning environments. His research on braids and cellular automata also indicates interdisciplinary collaborations that bridge mathematics with computer science and artistic applications.

Darjan KarabaševićView profile

Professor

• Computer Science
• Multi-criteria decision-making
• Management
• +2 more

Darjan Karabašević is currently serving as the Acting Dean and Full Professor at the Faculty of Applied Management, Economics and Finance, University of Economics Academy in Novi Sad. He was elected to the position of Acting Dean on April 29, 2023, and achieved the rank of Full Professor for the narrow scientific fields of General Management and Informatics on February 22, 2023. Prior to this, he served as Vice-Dean for Research since March 1, 2018, and held positions as Associate Professor (2020) and Assistant Professor (2017) at the same institution. His educational background includes a Doctorate in Computer Science from the University of Novi Pazar (2022), another Doctorate from the Faculty of Management Zaječar, John Nesbitt University Belgrade (2016), Specialist Academic Studies from Megatrend University Belgrade (2012), and undergraduate studies at the Faculty of Management Zaječar, Megatrend University Belgrade (2009). He completed his secondary education at the Zaječar School of Economics and Trade. Professor Karabašević's research primarily focuses on multi-criteria decision-making methods, neutrosophic logic, fuzzy systems, and their applications in management and computer science. His work demonstrates a strong integration of mathematical modeling with practical business applications, particularly in personnel selection, supplier evaluation, website quality assessment, and e-commerce strategy development. He has published extensively on extensions of methods like WISP, TOPSIS, MULTIMOORA, and SWARA, often incorporating neutrosophic and fuzzy logic to handle uncertainty in decision-making processes. His publication record shows a consistent output of high-quality research, with over 200 scientific and professional papers, including more than 60 papers indexed in SCI/SSCI databases. His research has accumulated 2432 citations on Google Scholar, 863 on Web of Science, and 8 on Scopus, indicating significant impact in his fields of study. Professor Karabašević serves as the Editor-in-Chief of the Journal of Process Management and New Technologies (category M52) and is an editor for the SCI-indexed journal "Axioms" (category M22). He is a member of the editorial boards of numerous international journals including Neutrosophic Sets and Systems, International Journal of Neutrosophic Science, and Journal of Fuzzy Extension and Applications, among others. He has reviewed over 200 scientific papers for prestigious journals such as Mathematics, Applied Mathematics and Computation, Journal of Cleaner Production, and Omega. He has held significant leadership roles including being elected as Co-President and Head of the Neutrosophic Science International Association for Serbia (2018), and later becoming President of the association for Serbia (2022). He serves on the scientific committees of multiple international conferences including the International Congress on Aviation Management and conferences on Sustainable Development based on Knowledge (ERAZ). His professional activities also include serving as a reviewer for the National Body for Accreditation and Quality Assurance in Higher Education (NAT) since 2018 and previously for the Commission for Accreditation and Quality Assurance (KAPK) from 2017-2018.

Yutian TangView profile

Assistant Professor

• AI+SE
• Large-language Model+SE
• Program Analysis
• +5 more

Dr. Yutian Tang serves as an Assistant Professor (UK Lecturer) and Principal Investigator at the School of Computing Science, University of Glasgow, where he supervises PhD students and leads research in AI-driven software engineering. His academic journey includes a PhD from The Hong Kong Polytechnic University's Department of Computing. His research spans AI+SE integration , particularly focusing on Large Language Models for program analysis, software testing, and Android security. Key areas include: LLM-assisted vulnerability detection and repair Empirical studies of real-world software systems Privacy protection mechanisms Configuration compatibility in mobile applications Smart contract security optimization His publication portfolio shows a clear trajectory toward AI-augmented software engineering , with recent work demonstrating how LLMs can enhance taint analysis, binary code similarity detection, and test generation. This evolution reflects the field's broader shift toward AI integration while maintaining rigorous empirical validation. Award highlights include: Best Industry Paper Award at ISSRE'18 Elevation to IEEE Senior Member (2024) Three Android OS defects confirmed by Google Security Team As an active researcher and community contributor, Tang serves on 40+ program committees including PLDI, ICSE, and FSE. His work receives funding from National Natural Science Foundation of China, Shanghai Science Commission, OpenAI, and Google. Current projects focus on automated bug localization and LLM-based testing frameworks, with recent grants from OpenAI Cybersecurity and Google Cloud programs. He leads research groups investigating Android security and AI-assisted program analysis, collaborating with institutions like Lund University.