Find Academic Supervisors

• Artificial Intelligence
• Computational Modelling
• Data-Driven Modelling
• +9 more

Savas Konur is a Professor of Artificial Intelligence and Computational Modelling at the University of Bradford's Faculty of Engineering and Digital Technologies, serving as Head of the School of Computer Science, Artificial Intelligence and Electronics. Previously, he held roles as Lecturer, Senior Lecturer, and Reader at Bradford, and worked at the University of Sheffield and Liverpool. He earned his B.Sc. from METU (Turkey), M.Sc. from RWTH Aachen (Germany), and Ph.D. from the University of Manchester (UK). His research focuses on computational modelling, machine learning, software engineering, and high-performance computing with interdisciplinary applications in systems biology, membrane computing, and smart manufacturing. He has secured £1.5M as PI and £1.3M as Co-I in grants from EPSRC, Innovate UK, and others, fostering collaborations with industry and academia globally. He leads the Computational Modelling Research Group and serves on editorial and advisory boards including the Journal of Membrane Computing and International Membrane Computing Society. Prof Konur’s work spans cybersecurity, synthetic biology tools, and automation, evidenced by over 76 publications and 11 research projects. His research has garnered multiple awards and recognitions, reflecting his contributions to computational science and interdisciplinary innovation.

Kenneth CalvertView profile

Professor

• Computer Network Protocols
• Network Architectures
• Active Networks
• +2 more

Kenneth Calvert is a Professor in the Department of Computer Science at the Stanley and Karen Pigman College of Engineering, University of Kentucky. He holds a Ph.D. in Computer Sciences from the University of Texas at Austin (1991), an M.S. in Computer Science from Stanford University (1980), and an S.B. in Computer Science and Engineering from M.I.T. (1979). His professional appointments include roles as Division Director at the National Science Foundation (2016-2019), Interim Director of the Center for Visualization and Virtual Environments (2012–2014), and Chairman of the Computer Science Department (2007–2013). Calvert's research focuses on next-generation computer network protocols and architectures, active networks, network security, and formal methods. His work explores innovative approaches to internet infrastructure, including programmable networks, economic models for connectivity, and security frameworks. His recent publications demonstrate a consistent focus on network architecture evolution, with themes spanning software-defined networking, economic mechanisms for internet services, and privacy-preserving measurement techniques. These articles collectively advance scalable and secure communication systems. While no scientific awards are documented, his leadership roles at NSF and UKY underscore significant recognition. Advising activities and grant information are not detailed in the source material.

Michel BarbeauView profile

Professor

• Wireless Communications and Networking
• Underwater Communications
• Quantum Communications
• +4 more

Michel Barbeau is a Professor and Director at the School of Computer Science, Carleton University. He holds a Ph.D. in Computer Science from Université de Montréal (1991) and has held academic roles at Université de Sherbrooke (1991–1999) and a visiting position at the University of Aizu, Japan. His research focuses on non-classical wireless networks, including underwater acoustic communication systems, quantum networks, and resilience assessment of cyber-physical systems. He leads projects involving acoustic signal processing, underwater node communication, and challenges like multipath propagation in aquatic environments. His team tested prototypes in Ottawa’s Rideau Canal. His work spans underwater communication protocols, quantum encryption, and AI-driven network optimization. He is active on YouTube and Twitter, and his ORCID profile highlights interdisciplinary contributions. His research emphasizes practical applications in environmental monitoring, coastal navigation, and secure quantum communication frameworks. Education: Ph.D. Computer Science, Université de Montréal (1991) M.Sc. Computer Science, Université de Montréal (1987) B.Sc. Computer Science, Université de Sherbrooke (1985) Research Interests: Underwater Acoustic Networks Quantum Communications and Cryptography Cyber-Physical Systems Resilience Ad Hoc and Mobile Networks Machine Learning for Network Optimization His current projects address challenges such as signal interference in underwater environments and developing quantum-safe cryptographic algorithms. Collaborations involve interdisciplinary teams of students and researchers. Advancement and Grants: Lead projects on underwater surveillance systems Explores quantum encryption protocols for post-quantum security Investigates AI-driven solutions for UAV and MIMO networks Labs and Teams: His research group focuses on experimental prototyping, including underwater acoustic networks and quantum communication frameworks. Collaborations span academia and industry for real-world applications.

Marc St-HilaireView profile

Professor

• Telecommunication Network Planning
• Wired and Wireless Communication Networks
• Mobile Computing
• +7 more

Marc St-Hilaire is a Professor at Carleton University, cross-appointed between the Carleton School of Information Technology and the Department of Systems and Computer Engineering. He holds a Ph.D. from École Polytechnique de Montréal and is a Senior Member of IEEE. His research focuses on telecommunication networks, including network planning, optimization, mobile computing, and emerging technologies like fog/edge computing and software-defined networking (SDN). He leads the NET Program and actively contributes to research through his team and collaborations with labs such as the Broadband Communications and Wireless Systems (BCWS) and Real-Time and Distributed Systems Group (RADS). Dr. St-Hilaire has supervised numerous graduate students, with current advisees in Ph.D. and M.Sc. programs. His work has garnered multiple awards, including Best Paper Awards at conferences like ADHOCNETS and iThings, as well as the Carleton Faculty Graduate Mentoring Award. He is deeply involved in academic service, serving as editor for journals like JSAN and MONET, and organizing committees for major conferences such as IEEE ICC and IEEE Globecom. His research explores cutting-edge areas like vehicular cloud networks, blockchain-based edge intelligence, and resource allocation in distributed systems. He actively seeks to mentor talented students and collaborate on projects addressing challenges in future networks, including 5G/6G integration and industrial IoT reliability.

• Automatic Control
• Robotics
• Critical Infrastructure Protection
• +4 more

Professor Stefano Panzieri is a Full Professor in the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University. He has held academic positions since 1996, including Associate Professor (2003–present) and Assistant Professor (1996–2003). His research focuses on automatic control, robotics, critical infrastructure protection, and cyber-physical systems. He coordinates the Ph.D. program in Computer Science and Automation and leads initiatives like the CISIApro model for infrastructure resilience. Panzieri directs the Robotics Laboratory, MCIPlab, and Automation Lab, contributing to 10 Ph.D. students' supervision. His work spans distributed control, sensor networks, and smart grid technologies, with over 180 publications and projects funded by the EU and Italian Ministry of Economic Development. Key contributions include interlaced Kalman filters and anomaly detection frameworks. Research Interests: Automatic Control: Nonlinear techniques, iterative learning control, and MPC. Robotics: Mobile robotics, sensor fusion, and navigation. Critical Infrastructure: Protection strategies, cascading effects modeling, and decision support systems. Cybersecurity: False data injection defense, game-theoretic models, and resilient networks. Recent Articles Trends: Focus on distributed state estimation, cyber-physical system resilience, and adaptive filtering techniques. Recent work addresses adversarial attacks, multirate systems, and pandemic impact modeling. Grants & Projects: SMART Environments (2015): Smart city and infrastructure development. ATENA (2017): Secure IACS using Software-Defined Networking. URANIUM (2014): Resource allocation and game theory for critical infrastructure. Labs & Teams: Leads MCIPlab (Critical Infrastructure Protection) and the Automation Lab, collaborating on robotics and smart grid technologies.

Christodoulopoulos KonstantinosView profile

Assistant Professor

• Optical Communications
• Networking
• Machine Learning
• +7 more

Christodoulopoulos Konstantinos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on optical communications, networking, and machine learning applications in network optimization. He has contributed to advancements in resource allocation, quality of transmission (QoT), and cybersecurity through quantum key distribution (QKD). His work includes field demonstrations of encrypted networks, techno-economic studies in metro-core systems, and scalable industrial network solutions. Education details are not explicitly provided in the text, but his academic role suggests a Ph.D. in a related field. Key research interests span optical network design, SDN-enabled architectures, and hybrid optical-electrical data centers (e.g., NEPHELE projects). He has published extensively on topics like slotted optical datacenter networks, machine learning for QoT estimation, and marginless optical network operations. Notable contributions include experimental demonstrations of disaggregated white-box networks, real-time SDN control frameworks, and collaborative projects with institutions like the University of Patras. His work emphasizes practical implementations, such as industrial-grade PONs and fault localization in optical networks.

Yu LiView profile

Researcher

• Robotics
• Cyber-Physical Systems
• Machine Learning
• +3 more

Yu Li is a Researcher affiliated with the Physics Institute at the University of Stuttgart . Their work focuses on advancing robotics and cyber-physical systems , with a particular emphasis on anomaly detection, risk assessment, and fault tolerance in autonomous systems. They specialize in applying machine learning techniques like MLSTM-FCN and transformers to enhance system reliability. Research interests include Robotic manipulation under uncertainty ROS-based fault injection frameworks Hybrid probabilistic risk modeling Real-time anomaly detection in industrial systems Recent work emphasizes automated risk assessment for software-defined robotic systems, leveraging SysML V2 models and continuous monitoring. Their publications span robotics, AI, and safety-critical system design, reflecting interdisciplinary collaboration across engineering and computer science domains.

Mohammed Amine TogouView profile

Assistant Professor

• 5G/6G Networks
• Software-Defined Networking
• Blockchain Applications
• +3 more

Mohammed Amine Togou is an Assistant Professor in the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research specializes in performance optimization and protocol design for next-generation networks including 5G/6G systems, SDN/NFV architectures, and blockchain-enabled solutions. With PhD in Computer Science from University of Montreal and MSc in Computer Networks from Al Akhawayn University, he has published over 40 peer-reviewed papers. Current research develops machine learning solutions for network management challenges including: interference mitigation in O-RAN architectures, adaptive streaming for immersive media, and blockchain-based network slicing. He serves as guest editor for Electronics journal's special issue on 5G Technology and IoT, and supervises PhD students in network optimization and distributed computing. Teaching responsibilities include distributed systems and network security courses, with pedagogical research on technology-enhanced learning methods in computing education.

Tim CurryView profile

Assistant Professor

• Optimization
• Cybersecurity
• Computer Science
• +2 more

Tim Curry is an Assistant Professor at the University of Connecticut (Storrs Campus). His research focuses on Optimization and Cybersecurity , particularly in network systems and computational methods. Recent research trends include: Developing hybrid optimization frameworks for secure virtualized networks Advancing constraint programming applications in cybersecurity Designing dynamic configuration algorithms for Software-Defined Networks (SDN) Integrating attack graph analysis with network defense strategies His work intersects Computer Science , Network Engineering , and Operations Research , with publications emphasizing formal verification, algorithm design, and security automation in networked systems.

• Software Defined Radio
• AI/ML for Wireless Communications
• Cyber Security
• +3 more

Ruolin Zhou is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth, part of the College of Engineering. She joined UMass Dartmouth in 2018 after serving as a tenured Associate Professor at Western New England University from 2012 to 2018. Her research focuses on software-defined radio (SDR), AI/ML-driven wireless communications, spectrum sensing, cyber & electromagnetic spectrum security, and hardware security. Her work has been supported by grants from NSF, ONR, AFRL, ARL, and industry partners like Lockheed Martin. Dr. Zhou holds a PhD in Engineering from Wright State University (2012), an MS in Electrical Engineering (2007), and a BS in Electrical Engineering from Dalian Jiaotong University (2003). She teaches courses including Foundations of Cybersecurity, Digital Logic Design, and Software-Defined Radio. Her research has led to innovations in FPGA-accelerated deep learning architectures, real-time spectrum monitoring, and secure communication systems. Her contributions have been recognized with awards including the 2024 IEEE Region 1 Outstanding Teaching Award, ONR Summer Faculty Research Fellowships (2022-2023), and Best Demo Awards at GLOBECOM 2010. She actively serves in IEEE roles, including Vice President for Technical Activities within the IEEE Reliability Society (2025) and steering committee memberships in IEEE Future Networks and IoT Technical Communities.

Chatchai KhunboaView profile

Visiting Professor

• Wireless Sensor Networks
• Internet of Things
• Software Defined Networks
• +3 more

Chatchai Khunboa is a Visiting Professor at the Shiley School of Engineering, University of Portland, and currently holds the position of Associate Professor in the Department of Computer Engineering at Khon Kaen University, Thailand. He is a Fulbright Scholar-in-Residence, focusing on sharing his expertise in IoT and encouraging students to engage with contemporary technological advancements. Dr. Khunboa's educational background includes a Bachelor of Electrical Engineering from Khon Kaen University (1992), a Master of Science in Telecommunications from the University of Pittsburgh (2000), and a Ph.D. in Information Technology from George Mason University (2005). His research interests are centered on Wireless Sensor Networks (WSN), Internet of Things (IoT), and Software Defined Networks (SDN). He actively explores applications and challenges in these fields, emphasizing their relevance in modern technological ecosystems. Fulbright Scholar-in-Residence His current Fulbright grant supports collaborative research and educational initiatives, particularly in highlighting the importance of IoT in contemporary environments. He has no listed advisees or grants beyond this residency program.

Abdussalam SalamaView profile

Lecturer

• Network Security
• IoT Security
• Cloud Security
• +4 more

Dr. Abdussalam Salama is a Lecturer in Computer Networks and Cybersecurity at Sheffield Hallam University's School of Computing and Digital Technologies. He holds a PhD in Computer and Communication Networks (2020) and industry certifications such as CCNP and CCSP. His expertise spans network security, IoT security, cloud security, and Quality of Service (QoS) in wireless networks. He actively contributes to EU-funded projects like Digital Innovation for Growth (DIfG), focusing on SME digital transformation. Education: PhD in Computer and Communication Networks, Sheffield Hallam University (2020) MSc Telecommunication and Electronic Engineering, Sheffield Hallam University (2015) BSc Electrical and Electronic Engineering, University of Tripoli (2001) Research Interests: Network security, IoT security, cloud security, QoS/QoE optimization, Software-Defined Networks (SDN), and eHealth applications. He leads projects on SASE/SD-WAN for SMEs and adaptive eHealth systems. Collaborations: EU-funded Digital Innovation for Growth (DIfG) project Rotherham Foundation Trust - NHS for eHealth applications Awards: Fellow of the Higher Education Academy (FHEA) Member of the Institute of Engineering and Technology (MIET) Grants/Postgraduate Supervision: Supervises doctoral researchers in network security, cloud computing, and SASE architectures. Manages projects funded by EU initiatives and industry partnerships. Labs/Teams: Member of RIKE and ERCIF groups, collaborating on applied research and industry partnerships.

Quamar NiyazView profile

Assistant Professor

• Cybersecurity
• Computer Networks
• Applied Machine Learning
• +3 more

Dr. Quamar Niyaz is an Assistant Professor in the Department of Electrical and Computer Engineering at Purdue University Northwest (PNW), located in Hammond, Indiana. He is affiliated with the College of Engineering and Sciences, focusing on cybersecurity, computer networks, and applied machine learning. His work emphasizes both technical innovation and educational tool development, including testbeds for hands-on learning. Dr. Niyaz holds a Ph.D. in Computer Science & Engineering from The University of Toledo, an M.S. and B.S. in Computer Engineering from Aligarh Muslim University, India. His research spans intrusion detection systems, malware analysis, and cybersecurity education frameworks, with a focus on making cybersecurity accessible to high-school and university students through interactive tools like visualization aids and smartphone-based learning modules. His research interests include network security, machine learning applications, and cybersecurity pedagogy. Notable projects include developing NATICUSdroid (Android malware detection), Permission-Educator (mobile permission education app), and PortableVN (network security testbeds). He also explores the societal impact of cybersecurity education on career choices and student attitudes. Teaching courses in C++/Matlab, software engineering, and computer networks, Dr. Niyaz emphasizes practical skills and ethical considerations in technology. His recent work highlights trends in hybrid cybersecurity education models, augmented reality for engineering training, and combating modern threats like GPS spoofing and UAV jamming attacks. Dr. Niyaz’s contributions bridge academia and industry through collaborative research on secure software frameworks, AR/ML integration, and autonomous systems security. His efforts aim to prepare students for challenges in a rapidly evolving technological landscape while addressing global cybersecurity needs.

Percy Shuo LiangView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +5 more

Percy Shuo Liang is an Associate Professor of Computer Science and Courtesy Associate Professor of Statistics at Stanford University. He directs the Center for Research on Foundation Models (CRFM) and is affiliated with Human-Centered Artificial Intelligence (HAI), the Artificial Intelligence Lab, and the Natural Language Processing Group. His research focuses on foundational aspects of machine learning, natural language processing, and reproducible research methodologies. He co-developed CodaLab Worksheets, a platform for experiment reproducibility, and leads the Marin community for open foundation model development. Education: B.S. (2004) and MEng (2005) in Electrical Engineering and Computer Science from MIT, advised by Michael Collins. Ph.D. (2011) in Computer Science from Berkeley under Michael Jordan and Dan Klein. Postdoctoral researcher at Google (2012). Research interests include foundation models, copyright challenges in AI, data weighting strategies, model interpretability, and ethical AI. Over 30 students and postdocs have been advised, many now holding prestigious academic and industry roles. Awards include the Presidential Early Career Award (2019), Sloan Fellowship (2015), and ACM ICPC World Finals 2nd place (2002). Labs/Teams: CRFM, HAI, AI Lab, NLP Group, Machine Learning Group. Notable contributions include CodaLab Worksheets and Marin platform. Active in programming contests and piano competitions (KDFC Classical Star Search winner, 2008).

Konstanty BialkowskiView profile

Associate Professor

• Wireless Communication
• Radar Systems
• Signal Processing
• +4 more

Associate Professor Konstanty Bialkowski is affiliated with the School of Electrical Engineering and Computer Science at The University of Queensland (UQ). His research focuses on communication systems, passive radar, and signal processing, particularly leveraging software-defined radios (SDRs) for applications in wireless communication, biomedical imaging, and sensor integration. Key contributions include sensor architectures for multi-modal data collection (RF, vibration, acoustic), passive radar algorithms enabling 3D target localization, and low-cost biomedical imaging devices. Education: Bachelor of Science, University of Queensland Bachelor (Honours) of Engineering, University of Queensland Doctor of Philosophy, University of Queensland Research Interests: Dr. Bialkowski’s work spans communication systems , passive radar , biomedical imaging , and antenna design . He pioneers the use of SDRs for high-reliability communication, wireless sensing, and applications like stroke detection via microwave tomography. His team develops wearable electromagnetic imaging systems and low-cost clinical scanners for acute stroke diagnosis. Key Projects: Electromagnetic brain scanner prototypes for clinical use Passive radar systems for low-Doppler target detection Flexible antenna arrays for wearable medical diagnostics Lab & Team: Collaborates with interdisciplinary teams on projects involving electromagnetic imaging, sensor networks, and biomedical engineering. Notable collaborators include Prof. Amin Abbosh and Dr. Lei Guo.