Find Academic Supervisors

• Cybersecurity
• Wireless Communication
• Network Security
• +7 more

Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.

George GhineaView profile

Professor

• Multimedia Quality Assessment
• Mulsemedia Computing
• Human-Computer Interaction
• +7 more

Professor George Ghinea is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 350 publications and 33 successfully supervised PhD students, he leads cutting-edge research at the intersection of computer science, media studies, and psychology. His educational background includes a PhD from the University of Reading (1999) where he pioneered the Quality of Perception (QoP) metric - a precursor to today's widely adopted Quality of Experience (QoE) concept. He holds multiple degrees with distinction from the University of the Witwatersrand in South Africa, including BSc, BSc (Hons), and MSc in Computer Science. Professor Ghinea's research focuses on perceptual multimedia quality and human-centered e-systems, with particular emphasis on mulsemedia (multiple sensorial media) - his own conceptual framework extending multimedia to engage non-traditional senses. His work spans eye-tracking applications, telemedicine, multi-modal interaction, and ubiquitous computing. Current research explores mulsemedia integration in autonomous vehicles, security-enhanced systems, and accessibility solutions. His publications reveal strong trends in multisensory computing (42% of recent works), telemedicine applications (28%), accessibility research (18%), and network optimization (12%). The work consistently bridges theoretical frameworks with practical implementations, often incorporating physiological data and user perception metrics. Distinguished Visiting Fellow of the Royal Academy of Engineering (2018) SPARC DUO-India 2020 Fellowship Programme recipient Principal Investigator for multiple EU Horizon 2020 projects Research featured in major media including BBC, Forbes, and Daily Telegraph Professor Ghinea has secured substantial research funding through projects like the EU H2020 NEWTON initiative, Royal Academy of Engineering partnerships, and multiple Newton Fund collaborations. His supervision portfolio includes 33 PhD completions with diverse research spanning security behavior in Ghana, physiological QoE in VR, smart city adoption in Oman, and sustainable digital transformation in Qatar. He leads the IMUSY research group focusing on mulsemedia systems and human perception. His laboratory work centers on the IMUSY research group where they develop mulsemedia applications integrating thermal, wind, and olfactory devices for enhanced user experiences. Current team projects include mulsemedia in autonomous vehicles (MulsEAV), physiological data for QoE assessment, and smart city adoption studies.

László LengyelView profile

Professor

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +7 more

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

Iain John BateView profile

Lecturer

• Scheduling and Timing Analysis
• Real-Time Systems
• Systems Engineering
• +4 more

Iain Bate is a Lecturer in Real-Time Systems and Head of the Department of Computer Science at the University of York. His research focuses on scheduling and timing analysis, systems engineering with optimization of design trade-offs, design assurance, component-based engineering, and managing emergent behavior, particularly in critical systems. University of York, Department of Computer Science Research areas: Real-Time Systems, Mixed-Criticality Scheduling, Multi-Core Architecture Departmental Roles: Head of Department, Research Group Lead (Real-Time Systems) His recent research explores cache-aware scheduling, fault tolerance, and resource stress management in multi-core environments. He has contributed to journals like Microprocessors and Microsystems as an editor and collaborated on projects funded by EPSRC and industry partners such as Rolls Royce. He actively supervises PhD students and leads research initiatives related to wireless sensor networks, task allocation, and system certification for critical applications.

Alan BovikView profile

Professor

• Image and Video Processing
• Digital Television
• Digital Cinema
• +5 more

Alan Bovik is a Professor at The University of Texas at Austin, holding the prestigious Cockrell Family Endowed Regents Chair in Engineering. He serves as Director of the Laboratory for Image and Video Engineering (LIVE) and maintains dual faculty appointments in the Department of Electrical and Computer Engineering and the Institute for Neuroscience. His extensive contributions have established him as a leading authority in visual information processing with global impact. Dr. Bovik's research spans multiple domains with a primary focus on image and video processing, digital television and digital cinema, computational vision, and visual perception. His work has fundamentally advanced the understanding of human visual perception, leading to practical applications in video quality assessment and image processing systems. With over 800 technical publications cited more than 75,000 times and an H-index above 100, his research has had extraordinary impact across academia and industry. He is recognized as a Highly-Cited Researcher by Clarivate Analytics, placing him among the most influential researchers globally. Analysis of Dr. Bovik's recent publications reveals a strong emphasis on video quality assessment for emerging applications like user-generated content, high-motion streaming, and adaptive video delivery. His work seamlessly integrates deep learning approaches with traditional signal processing techniques to develop perceptually accurate models. There's a clear trend toward addressing practical challenges in video streaming quality, compression artifacts, and the unique characteristics of modern video content. His research bridges theoretical foundations with real-world applications, making significant contributions to both academic understanding and industry standards. Dr. Bovik's exceptional contributions have been recognized with numerous prestigious awards: IEEE Fourier Award (2019) for seminal contributions to perception-based image and video processing Edwin H. Land Medal (2017) from The Optical Society Primetime Emmy Award for Outstanding Achievement in Engineering Development (2015) Norbert Wiener Society Award (2013) Claude Shannon / Harry Nyquist Technical Achievement Award (2005) Multiple best paper awards from IEEE, EURASIP, and Picture Coding Symposium As an educator and mentor, Dr. Bovik has guided numerous students through his leadership at LIVE. His professional service includes founding and serving as Editor-in-Chief of the IEEE Transactions on Image Processing (1996-2002) and chairing the inaugural IEEE International Conference on Image Processing in 1994. His industry impact is substantial, evidenced by his Primetime Emmy Award and frequent consultation with major institutions. Dr. Bovik is also a registered Professional Engineer in Texas, demonstrating his practical engineering expertise alongside theoretical contributions. Dr. Bovik leads the Laboratory for Image and Video Engineering (LIVE), which maintains strong affiliations with multiple research centers including the Wireless Networking and Communications Group (WNCG), Center for Perceptual Systems, Telecommunications and Signal Processing Research Center, and Institute for Computational Engineering and Sciences. These interdisciplinary connections enable research that bridges engineering, neuroscience, and computer science to advance our understanding of visual perception and processing.

Martin BrookeView profile

Associate Professor

• Analog Circuits
• RF Circuits
• Optoelectronic Circuits
• +4 more

Martin Brooke is an Associate Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He earned his B.E. in Electrical Engineering (First Class Honors) from Auckland University, New Zealand (1981), followed by M.S. (1984) and Ph.D. (1988) degrees from the University of Southern California. His career includes positions at Georgia Institute of Technology (1988-2003) before joining Duke. Dr. Brooke's research spans analog/RF/optoelectronic circuits, sensor interfaces, and deployable sensor systems with applications in ocean engineering and biomedical imaging. He leads innovative projects including ocean pH monitoring sensors and X Prize seafloor mapping initiatives, focusing on solving 'open-ended problems' through interdisciplinary approaches combining engineering with marine science. His extensive publication record (160+ articles) demonstrates consistent focus on sensor technologies, integrated circuits, and engineering education. Recent works emphasize biomedical applications (cancer margin assessment), environmental monitoring (ocean sensors), and educational innovations (remote microelectronics labs), showing a trend toward multidisciplinary solutions for real-world challenges. Awards and Honors: Capers and Marion McDonald Award for Teaching/Research Excellence (2022) Georgia Tech Outstanding Thesis Advisor Award (2003) IEEE Midwest Symposium Best Paper Award (1992) NSF Research Initiation Award (1990) Analog Devices Career Development Award (1988-1993) He has graduated 23 PhD students and mentors teams for major challenges like the X Prize ocean robotics competition. His research group develops deployable sensor systems with funding from NSF, X Prize Foundation, and industry partners. Current projects include drone-based ocean floor mapping systems and advanced pH sensors for marine ecosystem monitoring. Dr. Brooke leads the Brooke Research Group focusing on analog/RF systems and sensor integration. The team collaborates with Duke Marine Lab on ocean engineering initiatives and maintains eight U.S. patents. Future work emphasizes scalable sensor networks for environmental monitoring and biomedical diagnostics.

Tuğçe BilenView profile

Assistant Professor

• Artificial Intelligence
• Computer and Communication Networks
• Digital Twin
• +4 more

Tuğçe Bilen is an Assistant Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering, within the School of Computer and Informatics. Her research focuses on Artificial Intelligence and Computer and Communication Networks, particularly Digital Twin technologies, 6G wireless systems, and smart IoT applications. PhD in Computer Engineering (2017-2022), Istanbul Technical University Master's in Computer Engineering (2016-2017), Istanbul Technical University Licence in Computer Engineering (2010-2015), Istanbul Technical University Her research explores Digital Twin middleware for smart farms, energy-aware task scheduling in 6G edge networks, aeronautical ad-hoc network optimization, and cloud-based protocol enhancements. Recent work addresses metaverse-driven supply chain optimization and secure routing for aircraft networks. Key publication trends show strong focus on: Digital Twin integration across domains 6G wireless network architectures Adaptive routing algorithms Energy-efficient IoT systems Security in airborne communication Machine Learning for network management Scientific recognition includes: Serhat Özyar Young Scientist of the Year Honorary Award (2023) Doctoral Thesis Award from Istanbul Technical University (2023) TÜBA Doctoral Science Awards-Teknofest (2023) She serves as Principal Investigator for the Unsupervised Learning-Based Management of Ad Hoc Airborne Network Topology project (2024-2026) and holds a patent for Parametric Parsing Based Routing System in Content Delivery Networks (2021). As IEEE member since 2015, she contributes to telecommunications standards.

Manuel Jesus Espinosa GaviraView profile

Researcher

• Power Quality Analysis
• Wireless Sensor Networks
• Smart Grid Technologies
• +3 more

Manuel Jesus Espinosa Gavira is a researcher at the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cádiz, Spain. He is affiliated with the TIC168 Computational Instrumentation and Industrial Electronics research group under the Information and Communication Technologies PAIDI area. Research Focus: His work centers on power quality analysis, wireless sensor networks, and smart grid technologies. Key contributions include developing instrumentation systems for voltage supply characterization, cloud-induced photovoltaic transient analysis, and synchronized sensor networks for industrial applications. His PhD thesis (2023) explored sensor networks for short-term solar prediction in microgrids and smart cities. Publications Trends: Recent work focuses on higher-order statistics (HOS) for power quality monitoring, photovoltaic plant optimization using weather forecasts, and frequency domain analysis for grid stability. These publications reflect expertise in computational instrumentation, renewable energy integration, and real-time monitoring systems.

Marchegiani Maria LetiziaView profile

Assistant Professor

• Signal Processing
• Machine Learning
• Robotics
• +9 more

Maria Letizia Marchegiani is an Assistant Professor at the University of Parma , affiliated with the Department of Engineering and Architecture . Previously, she held academic positions at Aalborg University (2019) and Oxford Robotics Institute (2014-2018). Education: PhD in Computer Science and Engineering from Sapienza - University of Rome , MSc/BEng in Computer Engineering Her research interests span signal processing , machine learning , and their applications to robotics , autonomous systems , intelligent transportation , and intelligent healthcare . She explores intersections between auditory perception , cognitive modeling , and energy-efficient wearable systems . Recent publications demonstrate expertise in acoustic event localization , ML-SDWSN architectures , thermal camera integration for vehicles, and privacy-preserving wearable systems . Her work addresses challenges in network reliability , urban soundscapes , and human-robot collaboration .

• Internet of Things (IoT)
• Machine Learning
• Smart Agriculture
• +9 more

Laura Belli is a Researcher at the Department of Engineering and Architecture , University of Parma, with a focus on interdisciplinary projects bridging IoT, Machine Learning, and Smart Systems . Her work spans smart agriculture, vehicular networks, and urban mobility. Research Interests: Internet of Things (IoT) in agriculture and transportation Machine Learning for predictive modeling and data analysis Edge Computing and network optimization Blockchain applications in data integrity Driver health and stress monitoring Recent Publications highlight her contributions to privacy-preserving vehicular systems , smart farming datasets , and adaptive IoT protocols . She collaborates on projects like OPEVA and DistriMuse , emphasizing data-driven innovation.

Matthias BeckerView profile

Professor

• Human-Computer Interaction
• Simulation and Modeling
• Distributed Systems
• +6 more

Matthias Becker is a Professor at the Institute for Practical Computer Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, where he has been a core member of the Human-Computer Interaction group since 2019. He serves as Internship Coordinator for Computer Science and Computer Engineering and holds key roles in the Computer Science Examination Board and Selection Committee, actively shaping academic governance and student development. His academic journey began with PhD studies at the University of Bremen (1996-2000) supported by a DFG grant, followed by a postdoctoral permanent position at Leibniz University Hannover (2000-2019), an Associated Assistant Professor role at École des Mines de Nantes (2000), and a Habilitation in Computer Science in 2013. This foundation enabled his transition to a full professorship in 2019. Becker's research spans Human-Computer Interaction, Simulation and Modeling, and Bio-inspired Computing, with applications in agriculture, renewable energy, and manufacturing. His work integrates distributed systems, optimization algorithms, and wireless sensor networks to solve complex real-world problems, such as greenhouse monitoring, wind farm logistics, and tire noise reduction. Recent publications reveal a strategic focus on practical validation of simulation models and cross-domain applications of nature-inspired algorithms. His 15 most recent publications (2018-2024) demonstrate consistent innovation in applying simulation techniques to offshore wind farm installation, agricultural pest management, and sports science. These works emphasize real-world validation, collaborative problem-solving, and the development of domain-specific optimization frameworks that bridge theoretical algorithms and industrial implementation. As Internship Coordinator, Becker facilitates critical industry-academia connections for students, while his examination board responsibilities ensure rigorous academic standards. His leadership in the Human-Computer Interaction group drives research on interactive systems for agriculture, energy, and health, with particular emphasis on user-centered design in complex operational environments like wind farm logistics and greenhouse automation.

Ahmed AhmedView profile

Associate Professor

• Computer Science
• Artificial Intelligence
• Machine Learning
• +5 more

Ahmed Ahmed, an associate professor in the Department of Computer Science at Prairie View A&M University (PVAMU) , shapes tech leaders through innovative teaching and research. His work spans IoT, AI, and ML applications across agriculture, infrastructure monitoring, and healthcare. Key research areas include: IoT and AI for sustainable agricultural practices LoRa-based location tracking in constrained environments Secure blockchain-federated learning systems Geofencing for community safety With over 50 peer-reviewed publications and a $300k NSF grant (2023), Ahmed develops hands-on learning tools like a Special Interest Group for IoT and live programming demonstrations. His global journey—from Cairo University to a PhD at the University of Saskatchewan—fuels his commitment to empowering underrepresented students. Scientific awards include the PVAMU Faculty Service Award . He advises students like Kritika Singh (2022 graduate) and advocates for continuous refinement of teaching as a craft.

Ramon CanalView profile

Professor

• Secure microarchitectures
• System reliability
• Virtualization and operating systems
• +5 more

Ramon Canal is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics and the Computer Architecture Department. He has served as Vice Dean of postgraduate studies and leads the VirtuOS (Virtualization and Operating Systems) research group. His academic background includes BSc, MSc, and PhD from UPC, with thesis supervision by Antonio González (UPC) and James E. Smith (University of Wisconsin-Madison). He completed sabbaticals at Harvard University (2006-2007) and University of Cyprus (2019-2020). Education: PhD, MSc, BSc in Computer Engineering (UPC) Research focus: Microarchitecture security, reliability across circuit/system levels, cloud optimization Recent publications address privacy in IoT, secure hardware accelerators, and safety-critical systems. His work contributes to the DRAC project (2019-2022), Red-RISCV network, and Horizon's Vitamin-V project. Awards include HiPEAC Paper Awards, IEEE Senior Member status, Fulbright recognition, and multiple education excellence accolades. Scientific Honors HiPEAC Paper Award (ISCA-44, 2017) IEEE Senior Member (2016) Best Paper Nominee (ICCD-32, 2014) UPC Outstanding PhD Award supervision (2011) He advises current MSc students and has mentored multiple PhD graduates. Professional activities span academic leadership, research collaborations with Barcelona Supercomputing Center (BSC), and technical contributions to reliability analysis frameworks like RECIPE and FRACTAL.

• Computer Security
• 5G Networks
• Privacy Preservation
• +6 more

Philip Ginzboorg is a Professor of Practice at the Department of Computer Science, Aalto University. His research focuses on advanced security and privacy challenges in modern networking systems, with a particular emphasis on 5G, edge computing, and disruption-tolerant networks. His recent work explores AKMA (Authentication and Key Management for Access) protocols for secure mobility in 5G edge computing environments, privacy-preserving authentication mechanisms , and fragmentation algorithms for disrupted links . Collaborations with Valtteri Niemi, Jörg Ott, and other researchers highlight his interdisciplinary approach. Key publication trends span 5G security , privacy in pervasive networks , DTN (Disruption-Tolerant Networking) , and cryptographic protocols for constrained systems . Notable contributions include defenses against downgrade attacks on identity privacy and novel approaches to IMSI-based routing.

Lydia RayView profile

Professor

• Wireless Sensor Networks
• Wireless Network Security
• Radio Frequency Identification (RFID)
• +2 more

Dr. Lydia Ray is a Professor at the TSYS School of Computer Science , Columbus State University, with a Ph.D. in Computer Science from Louisiana State University (2005) and an M.Stat in Statistics from Indian Statistical Institute (1998). She specializes in Wireless Sensor Networks , Wireless Network Security , RFID Systems , and Computer Science Education . Research Interests: Secure energy-efficient data transmission in Wireless Sensor Networks RFID security and privacy mechanisms Virtual network labs for online education Teaching: Graduate courses: Advanced System Security, Computer Forensics, Wireless Security Undergraduate courses: Data Structures, Introduction to Programming, Information Technology Education Outreach: Active8 Summer Camps (Scratch, Pico Cricket, Alice, Lego Robotics) Future Teachers’ Academy (Cybersecurity, Computer Networks) Computer Science Academy workshops Contact: ray_lydia@columbusstate.edu | Office: CCT Building Room 429