Find Academic Supervisors

Tim Berners-LeeView profile

Professor

• Computer Science
• Information Systems
• Network Protocols
• +7 more

Tim Berners-Lee is a British computer scientist and inventor of the World Wide Web. He holds the 3Com Founders Chair at the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory since 1994 and is a Professor at the University of Southampton (2004-present) and the University of Oxford (2016-present) in Computer Science. His work revolutionized global information sharing through the creation of HTML, HTTP, URLs, and the first web browser/server, enabling the Web's scalability via existing Internet protocols. Key research areas include networked hypertext systems, semantic web technologies, Internet architecture, and societal impacts of digital infrastructure. He founded the World Wide Web Consortium (W3C) in 1994 to standardize web technologies and the World Wide Web Foundation in 2008 to advocate for digital equality. His technical minimalism prioritized immediate utility over theoretical perfection, leveraging Unix and TCP/IP foundations. ACM A.M. Turing Award (2016) Knighted as KBE (2004) Order of Merit (2007) Fellow of Royal Society, IEEE, and American Academy of Arts and Sciences Berners-Lee's advocacy spans data privacy, open standards, and resistance to centralization. He criticized proprietary social media dominance and promoted decentralized systems like Solid for personal data control. His career bridges technical innovation with profound societal reflection, emphasizing harmonious global digital cooperation and ethical governance.

• Algebraic Geometry
• Hyperkähler Manifolds
• Rozansky-Witten Invariants
• +3 more

Prof. Dr. Marc Nieper-Wißkirchen is a University Professor (W3) for Algebra and Number Theory at the Institute of Mathematics, University of Augsburg, since 2008. He has held visiting positions at the Max Planck Institute for Mathematics in Bonn and the University of Cambridge, and served as a Junior Professor at Johannes Gutenberg University Mainz (2004–2008). Since October 2021, he has been Vice Dean of the Faculty of Mathematics, Natural Sciences and Technology (MNTF). Education: Diploma in Mathematics (2000) from the University of Cologne, preceded by preliminary diplomas in physics (1997) and mathematics (1997). His doctoral studies (2000–2002) under Prof. Daniel Huybrechts focused on characteristic classes and Rozansky-Witten invariants of hyperkähler manifolds. His research spans algebraic geometry, differential geometry, and mathematical physics, with a focus on hyperkähler manifolds, Hilbert schemes of points, irregular singular connections, and Stokes phenomena. He has contributed to the understanding of Rozansky-Witten invariants, Chern numbers, and topological aspects of differential equations. Recent publications include works on Betti structures of hypergeometric equations (2022) and Stokes matrices for confluent hypergeometric equations (2022), reflecting his ongoing exploration of differential equations' geometric underpinnings. Earlier works address Hochschild homology, equivariant cohomology, and operads in algebraic contexts. His computational contributions include software demonstrations for elliptic curve arithmetic, Collatz sequences, and Google Matrix simulations. Technical expertise includes programming languages (TeX, PHP, HTML) and systems (Unix/Linux, Zope/Plone).

• Software Reusability
• Reverse Inheritance
• E-Learning
• +5 more

Ciprian Bogdan Chirila is a Senior Lecturer at the University Politehnica of Timisoara (Faculty of Automation and Computer Science, Computing and Information Technology Department) and also teaches at Ioan Slavici University . His career spans over two decades, with roles in teaching, research, and software development. Education : PhD in Computer Science (2010, University Politehnica Timisoara & University Nice-Sophia Antipolis) Master's in Computer Science & Software Engineering (2002) Engineer Diploma in Automation & Computer Science (2001) Analyst-Programmer Diploma (1996) Research Interests : His work focuses on reverse inheritance for software reusability, generative learning objects for education, and software quality assessment using code metrics. He explores interdisciplinary applications in healthcare, mathematics education, and industrial IT services. Article Trends : Recent publications emphasize adaptive e-learning frameworks , gamification in education , and model-driven development . Key themes include automated assessment , dynamic content generation , and integration of standards like SCORM and xAPI . Scientific Awards : Microsoft Award, Student Scientific Communications Session (2001) Award, Student Scientific Communications Session (2002) Third Place, Mechanics and Robotics Contest (1998) Fourth Place, Traian Lalescu Mathematics Contest (1998) Teaching & Development : He has led laboratory sessions and lectures in Data Structures , Compiler Design , Operating Systems , and Heuristic Methods . He organizes programming contests and develops centralized materials management software as a volunteer engineer.

• Cybersecurity
• Network Security
• Automotive Cybersecurity
• +5 more

Mirco Marchetti is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. He specializes in cybersecurity, network security, and automotive systems. His teaching responsibilities include courses on cybersecurity fundamentals, computer networks, operating systems, and automotive cyber defense. Research interests focus on intrusion detection systems (IDS), vehicular networks (VANETs), machine learning applications in cybersecurity, and automotive cybersecurity. He has contributed to projects like HackCar (automotive attack/defense testbed) and RealCAN (real-time CAN bus analysis tools). His work also explores adversarial attacks on ML-based systems and secure communication protocols for industrial and vehicular systems. Recent publications emphasize automotive cybersecurity (e.g., Mercedes-Benz infotainment system analysis, CAN bus anomaly detection), ML robustness against adversarial attacks, and zero-trust architectures. He collaborates with the SECloud research group (secloud.ing.unimore.it) and uses experimental platforms like Software-Defined Radios for security evaluations. Teaching responsibilities span multiple academic programs including Master's degrees in Computer Engineering and Artificial Intelligence Engineering. Courses emphasize practical skills in Linux/Unix administration, network configuration, and embedded system security.

• Networking
• Distributed Systems
• Vehicular Ad-Hoc Networks
• +3 more

Rui Manuel Pacheco Meireles is an Assistant Professor in the Computer Science Department at Vassar College since 2017. He is also a Researcher at the Instituto de Telecomunicações in Portugal. His research focuses on networking and distributed systems, particularly in Vehicular Ad-Hoc Networks (VANETs), aiming to enhance traffic safety, efficiency, and passenger entertainment through wireless vehicle communication. He holds dual PhDs from Carnegie Mellon University and the University of Porto, alongside an MS from Carnegie Mellon University. Education: PhD in Computer Science, Carnegie Mellon University PhD in Computer Science, University of Porto MS in Computer Science, Carnegie Mellon University Research Interests: Rui’s work emphasizes applied and experimental research, designing protocols, creating prototypes, and evaluating them in real-world environments. His primary focus is on vehicular networks, including Wi-Fi-based communication between vehicles and infrastructure. His contributions span network selection algorithms, throughput estimation, and geolocation-based sector selection for 802.11ad protocols. His research also touches on HTTP/2 performance analysis and testbed development like HarborNet. Publications: Rui has authored over 15 peer-reviewed articles, with recent work including Wi-Fi network diversity exploration and practical network selection protocols for vehicle-to-infrastructure communication. His 2016 paper on the LASP protocol won the Best Paper Award at IEEE VNC. Awards: Best Paper Award at IEEE Vehicular Networking Conference (VNC) 2016 Teaching: Rui teaches courses such as CMPU 203 (Software Design and Implementation) and has previously instructed data structures, algorithms, and computer networks courses at Vassar. He also shares teaching materials, including an introduction to Linux/Unix. Labs/Teams: Collaborates with the Instituto de Telecomunicações (Portugal) and has developed datasets for vehicular networks, including 802.11ad Wi-Fi datasets for infrastructure communication studies.

• Cybersecurity
• Cryptography
• Information Security
• +7 more

Dr. Viktor Melnyk serves as an Assistant Professor in the Department of Applied Computer Science at the Institute of Mathematics, Informatics and Landscape Architecture within the Faculty of Natural Sciences and Technology at John Paul II Catholic University of Lublin. His academic activities span teaching, research, and extensive student supervision across multiple years. His research interests focus on cybersecurity, cryptography, and FPGA-based systems, with particular expertise in wireless network security (especially IEEE 802.15.4), hardware acceleration, and machine learning applications in electronic design. His work bridges theoretical computer science with practical security implementations, evident in his numerous publications and student thesis topics. Analysis of Dr. Melnyk's recent publications reveals a consistent focus on hardware security implementations, particularly for low-rate wireless networks and reconfigurable computing systems. His research trajectory shows increasing integration of machine learning techniques with traditional security protocols, reflecting broader trends in the field. The publications demonstrate both theoretical depth and practical implementation focus, with many papers addressing specific hardware implementations. Dr. Melnyk has served as an Independent External Expert for evaluating grant proposals in the European COST Open Call competition, indicating professional recognition of his expertise. His contributions to the academic community extend to reviewing numerous scientific articles across various domains including biomedical data processing, cyber-physical systems, and cloud computing. His academic advising is exceptionally active, with documentation of supervising over 100 diploma theses from 2015 through 2025 across both Bachelor's and Master's levels. The thesis topics consistently align with his research interests, covering cybersecurity, cryptography, network security, and hardware implementations. He teaches courses including 'Operating Systems,' 'Network Data Protection Technologies,' and 'Multimedia Systems,' with teaching materials adapted for remote delivery during the pandemic period.

Diomidis SpinellisView profile

Professor

• Software Engineering
• Programming Languages
• Computer Science
• +5 more

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.

Trevor CickovskiView profile

Assistant Professor

• Bioinformatics
• Microbiome Analysis
• GPU Computing
• +6 more

Trevor Cickovski is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences, with a focus on bioinformatics and computational biology. Holding Graduate Faculty status, he specializes in microbiome analysis, GPU computing, network analysis, and Unix systems. His academic journey began with a Ph.D. in Computer Science and Engineering from the University of Notre Dame (2008). Current roles: Associate Director, Assistant Teaching Professor Research affiliations: Bioinformatics Research Group (BioRG), ACM, IEEE Dr. Cickovski's research spans microbiome analysis, software engineering, and GPU-accelerated computing. His work explores the microbiome's role in neuropsychiatric disorders (ADHD), genetic conditions (A1AD), respiratory diseases (COPD), and environmental phenomena (red tides) through multi-omics integration. His publications in Journal of Medical Microbiology , Bioinformatics , and IEEE/ACM TCBB reflect strengths in plugin-based software frameworks (PluMA), network analysis, and computational pipeline optimization. Awards include multiple teaching excellence honors and industry funding from NVIDIA. 2020 Graduate Faculty Status 2019 FIU CAT Fellow 2019 FIU Faculty Teaching Award 2017 Teaching Excellence Award 2014 Promotion to Associate Professor As lead developer of PluMA, he enables cross-language plugin development for bioinformatics workflows. Funded by NIJ and NSF, his projects apply machine learning to epigenetics and computational approaches to vaccine discovery.

• Software security
• IoT
• Machine learning
• +2 more

Nadhem Ebrahim is an Assistant Professor in the Department of Computer Science at the University of Akron's College of Engineering and Polymer Science. He joined UA in 2023 and holds a Ph.D. in Computer Science from Swami Ramanand Teerth Marathwada (SRTM) University (2015), with a Master's in Computer Application from Bangalore University. His research focuses on software security, IoT systems, machine learning, and AI applications. Dr. Ebrahim teaches courses such as Fundamentals of Cybersecurity, Unix-Based System Security, and contributes to curriculum development in computer science. Research emphasizes data mining for software reliability, IoT security protocols, and lightweight cryptographic algorithms for IoT devices. He has published in high-impact journals and conferences like IEEE, Springer, and IASET. His work bridges theoretical advancements with practical applications in cybersecurity and education, including a recent study on game-based pedagogy for primary education.

Md Golam Moula Mehedi HasanView profile

Assistant Professor

• Cyber Security
• Machine Learning
• Explainable Artificial Intelligence
• +3 more

Dr. Md Golam Moula Mehedi Hasan is an Assistant Professor of Computer Science at Iona University. He holds a Ph.D. and M.S. in Computer Science from Tennessee Tech University, an MBA in Finance from IBA, Dhaka, and a B.Sc. in Computer Science & Engineering from BUET, Bangladesh. His research focuses on cyber security, machine learning explainability, and game-theoretic applications. Dr. Hasan teaches undergraduate and graduate courses in computer science and has published extensively in conferences like FLAIRS and IEEE COMPSAC. His work emphasizes counterfactual explanations in machine learning and game-theoretic approaches to cyber defense. Education: Ph.D., Computer Science, Tennessee Tech University (2022) M.S., Computer Science, Tennessee Tech University (2017) MBA, Finance, IBA, Dhaka (2014) B.Sc., Computer Science & Engineering, BUET, Bangladesh (2009) Research Interests: Dr. Hasan’s research combines game theory with cyber security and machine learning. Key areas include counterfactual explanation generation for model interpretability, game-theoretic defense strategies against network attacks, and secure IoT/Smart Grid infrastructure design. His work bridges theory and practice, addressing challenges in explainable AI and resilient system architectures. Publications: His publications span topics like counterfactual data augmentation, game-theoretic pricing in V2G systems, and fraud detection in AMI networks. Recent work emphasizes the application of game theory to enhance cyber security and machine learning robustness. Teaching & Service: Dr. Hasan teaches courses in programming, algorithms, and Unix systems. He has served as a reviewer for multiple conferences and held roles in academic organizations like the Data Science League.

• Structural Biology
• Protein Biochemistry
• Cell Biology
• +3 more

Logan W.F. Donaldson is a Full Professor in the Department of Biology at York University, affiliated with the Faculty of Science. His research focuses on understanding how transcription factors and enzymes modify their conformation and partnerships in response to signals such as ligand binding or post-translational modifications like phosphorylation. He employs nuclear magnetic resonance (NMR) spectroscopy to determine atomic-level structures of protein complexes, complemented by molecular biology, biochemistry, and computational methods (UNIX-based systems). Sub-disciplines include Cell Biology, Protein Biochemistry, and Structural Biology. His work emphasizes collaborative projects integrating experimental and computational approaches. Representative publications include structural studies of AIDA1 PTB domains, bacteriophage proteins, and NMR-based computational methodologies. No scientific awards are explicitly listed, though his contributions to structural biology are evident in his publication record. He is eligible to supervise students in the Biology Graduate Program and leads a lab emphasizing collaborative research with computational and biochemical components.

• Computer Security
• Industrial Control Systems Security
• Wireless Sensor Network Security
• +5 more

Ernest Foo is an Adjunct Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), within the Faculty of Science. His research focuses on cybersecurity, particularly in industrial control systems, wireless sensor networks, and vehicular communication systems. He holds a PhD from QUT and has extensive experience in network communications and information security education. Research Interests: • Industrial Control Systems Security • Smart Grid Security • Wireless Sensor Networks • VANET (Vehicular Ad Hoc Network) Security • Intrusion Detection Systems • Cyber-Physical Systems Key Projects: • ARC Linkage grant with Powerlink (electricity transmission authority) • SCADA security laboratory design and development • Research on IEC 61850 substation automation standards Awards: • Best Paper Award at the 2nd International Cyber Resilience Conference (2015) Teaching Contributions: • Courses: Networks, Network Planning, Security Technologies • Guest lectures in Unix Network Administration and Security Labs and Facilities: • QUT SCADA security research laboratory

Diego KuonenView profile

Adjunct Professor

• Business Analytics
• Big Data Analytics
• Data Literacy
• +4 more

Diego Kuonen is an Adjunct Professor at the Research Institute for Statistics and Information Science at the University of Geneva. He holds a PhD in Statistics from the Swiss Federal Institute of Technology (EPFL). His expertise spans Business Analytics, Big Data Analytics, Data Literacy, Data Science, and Statistical Engineering. Kuonen is a co-founder of Statoo Consulting, a Swiss firm specializing in statistical consulting since 2001. His research focuses on data strategy integration, problem framing in data science projects, and governance mechanisms for data use in public health crises. He has co-authored the Swiss Data Literacy Charter , advocating for nationwide data literacy initiatives. His work emphasizes bridging organizational gaps between technical and non-technical stakeholders to achieve sustainable data-driven solutions. Notable contributions include articles in Harvard Business Review , Sloan Management Review , and interdisciplinary journals addressing AI ethics, healthcare data governance, and statistical engineering applications. Kuonen teaches executive courses on data quality strategies and analytics consulting, reflecting his commitment to advancing professional education in data-driven fields.

• Computer Architecture
• Programming Languages
• Systems Programming
• +5 more

Stephen Kell is a Lecturer (equivalent to Assistant Professor) in the Department of Informatics at King's College London, where he specializes in systems programming, compiler optimization, and debugging tools. He holds a PhD from the University of Cambridge and has held roles at the University of Oxford, USI, and the University of Kent. His research focuses on improving software development efficiency and safety, particularly through projects like liballocs (runtime metadata tracking) and libcrunch (runtime type checking for unsafe languages). He has contributed to formalizing C semantics, enhancing debugging capabilities, and eliminating foreign function interfaces (FFIs). Education: BSc and PhD in Computer Science from the University of Cambridge (2005 and 2010, respectively). Professional roles include Senior Research Associate at the University of Cambridge's Computer Laboratory and visiting researcher at the Department of Computer Science and Technology. His work emphasizes practical systems design, bridging gaps between high-level languages and low-level systems. Key research areas include Unix process environment evolution, unsafe-language safety enhancements, and cross-language interoperability. He has received awards for his contributions to programming language research and tool development. His collaborations include projects with Arm, Pernosco, and Sony (SN Systems) through the EPSRC-funded DIADEM initiative.

Jiasi ShenView profile

Assistant Professor

• Programming Languages
• Software Engineering
• Program Analysis
• +3 more

Jiasi Shen is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology. She leads the HKUST Automated Reasoning and Transformation of Software research group. PhD and Master's from Massachusetts Institute of Technology Bachelor's from Peking University Her research focuses on automating software development through program analysis , program transformation , and active learning . She explores how to systematically introduce safety checks, optimize performance, and enable cross-platform adaptation while maintaining core functionality. Recent work includes: Dynamic graph-based fingerprinting for cryptomining detection Benchmarking LLMs for operating system verification tasks Improving program comprehension via deimplicitization techniques She has received the Distinguished Artifact Award at SLE 2017 and serves on program committees for OOPSLA, Onward!, and SPLASH conferences. Her group supervises multiple PhD and MPhil students while developing systems like Konure (database application modeling) and KumQuat (parallel Unix command synthesis).