Find Academic Supervisors

• Wireless Networks
• Internet of Things
• Network Security
• +7 more

Robin Kravets is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, where she leads the Mobius research group. She earned her Ph.D. in Computer Science from the Georgia Institute of Technology in August 1999. Her office is located at 3114 Siebel Center for Comp Sci, and she can be contacted via email at rhk@illinois.edu or phone at (217) 244-6026. Courses Taught: CS 438 (ECE 438) - Communication Networks CS 498 WN3 (CS 498 WN4) - Wireless IoT Lab CS 591 PH2 (CS 591 PHD) - PhD Orientation Seminar CS 591 SCH - PhD Job Search Prep CS 591 WN - Wireless Networking Seminar ECE 439 (CS 439) - Wireless Networks ENG 572 - Professional Practicum Research Focus: Dr. Kravets specializes in wireless and mobile systems, with emphasis on IoT security, energy-efficient networking, and privacy-preserving protocols. Her work addresses challenges in dense network environments, vehicular communication, and low-power devices, often leveraging probabilistic models and adaptive protocols to enhance system resilience. Publication Trends: Her recent articles (2016-present) predominantly explore wireless IoT security (e.g., MAC randomization defenses, BLE optimization) and practical applications in environmental sensing/retail. Earlier work (2007-2015) established foundations in vehicular networks, disruption-tolerant communication, and energy-aware protocols. Leadership: She directs the Mobius Group, which develops solutions for mobile and IoT systems, including projects like IVP (Illinois Vehicular Project) and contributions to standards in pervasive computing.

• Optical Communications
• Optoelectronic Circuits
• Optical Switching
• +7 more

Amalia Miliou is a Professor in the Department of Informatics at Aristotle University of Thessaloniki, where she has served since 1993, progressing through the academic ranks from Lecturer to her current position as Professor since 2022. She holds a PhD in Electrical and Computer Engineering from the University of Florida (1991) with specialization in Optoelectronics, following an MSc in the same field (1988) and a Physics degree from Aristotle University (1985). Her research focuses on optical communications systems, with specific expertise in optoelectronic circuits simulation, optical switching, optical RAM development, converged fiber-wireless technology, 5G networks, and secure optical communications using chaos theory. Over her career, she has supervised numerous graduate students across these research areas, with thesis topics spanning optical memory systems, fiber-wireless integration, chaos-based secure communications, and advanced optical network architectures. Her recent publications (2021-2024) demonstrate a strong focus on next-generation optical networking solutions for 5G/6G applications, including fiber-wireless convergence, optical memory systems for high-speed networks, and innovative approaches to optical signal processing. Her work bridges fundamental photonics research with practical telecommunications applications, particularly in addressing the bandwidth and latency challenges of modern mobile networks. Professor Miliou has served as the Coordinator of the LLP-ERASMUS student exchange program at the Department of Informatics since 1997 and has held various administrative positions including membership in the University Senate and General Assembly. She has led and participated in numerous research projects, most recently focusing on technological improvements for 5G systems through optical-wireless network development (2019-2021), next-generation healthcare applications leveraging 6G networks (2023-2027), and photonic integrated circuits for random access memory (2012-2015).

• Cryptographic Protocols
• Cloud Security and Privacy
• Homomorphic Encryption
• +3 more

Travis Mayberry is an Assistant Professor in the Cyber Security department at the United States Naval Academy. His research focuses on cryptographic protocols, cloud security, privacy-preserving technologies, homomorphic encryption, and secure voting systems. He holds a PhD in Computer Science from Northeastern University, with a dissertation on practical Oblivious RAM (ORAM) protocols for private data outsourcing. He also contributed to the Scantegrity project at the University of Maryland, Baltimore County, developing end-to-end verifiable voting systems. Key areas of research include privacy in mobile devices, secure communication protocols, and cryptographic mechanisms for data protection. His work has been published in top venues like Privacy Enhancing Technologies Symposium (PETS), Network and Distributed Systems Security Symposium (NDSS), and ACM Computer and Communications Security (CCS). He received a Distinguished Paper Award in 2014 for his research on combining ORAM and PIR for efficient private file retrieval. Mayberry’s publications analyze vulnerabilities in Bluetooth Low Energy protocols, TLS client authentication tracking, and MAC address randomization in mobile devices. He has collaborated extensively on secure voting systems (e.g., Scantegrity) and practical ORAM implementations like ObliviSync and rORAM. His contributions bridge theoretical cryptography with real-world applications in privacy and security.

• Internet of Things (IoT)
• Structural Health Monitoring (SHM)
• Microwave Imaging
• +5 more

Igor Bisio is a Full Professor at the Department of Naval, Electrical, Electronics, and Telecommunications Engineering (DITEN) at Università di Genova. His research focuses on IoT-driven structural health monitoring, microwave imaging for biomedical applications, and wireless surveillance systems. Teaches courses on telecommunications, IoT, and machine learning Pioneers low-cost IoT solutions for SHM and post-stroke rehabilitation Develops microwave tomography techniques for pediatric stroke diagnostics Advances privacy-preserving Wi-Fi-based crowd monitoring Recent research trends include edge AI integration, compressive sensing for vibration analysis, and multi-class object tracking in aerial scenes. He also explores UAV-based monitoring systems, WiFi fingerprinting for localization, and Banach space inversion models for electromagnetic imaging. His work spans interdisciplinary domains combining electrical engineering, biomedical applications, and wireless network security.

• Signal Processing
• Wireless Communication Systems
• Power Amplifier Modeling
• +4 more

María José Madero Ayora is a Professor at the Department of Signal Theory and Communications , Universidad de Sevilla , specializing in nonlinear system modeling and digital predistortion for wireless communication systems. Her research focuses on Volterra series applications in power amplifier linearization, microwave measurements , and machine learning techniques for signal processing. Principal Investigator for projects like Statistical Signal Modeling for Brain-Computer Interfaces (PID2021-123090NB-I00) Recipient of the Arftg Roger Pollard Student Fellowship in microwave measurement Her work spans 5G waveform linearization , I/Q modulator impairments , and thermal memory effects in RF amplifiers. Recent publications combine sparse Bayesian methods with Volterra models to address nonlinear distortion in OFDM and visible light communication systems. She has supervised doctoral theses and participated in international conferences across the U.S., Europe, and Asia.

• Cybersecurity
• Wireless Network Security
• Cryptographic Protocol Analysis
• +3 more

Mathy Vanhoef is an Assistant Professor at the Faculty of Engineering Science of KU Leuven , affiliated with the Distributed and Secure Software (DistriNet) group and involved in multiple cybersecurity councils. His research focuses on wireless protocol vulnerabilities, particularly Wi-Fi security flaws in modern standards like WPA2 and WPA3. He has led significant projects on network protocol analysis and security mitigation strategies. Research Interests: Exploiting design flaws in wireless protocols Side-channel attack mechanisms Network stack security analysis Cryptographic protocol weaknesses Man-in-the-middle attack prevention Scientific Contributions: Discovered fundamental Wi-Fi vulnerabilities (FragAttacks) Exposed critical flaws in Cloudflare WARP and WPA3 implementations Developed testing tools for wireless protocol security Teaching: Vanhoef teaches courses including Introduction to ICT Security , CyberSecurity Basics , and Security Through the Software Lifecycle . He is actively involved in cybersecurity education and research at KU Leuven.

• Security
• Privacy
• Wireless and Mobile Networks
• +3 more

Hongyu Jin is a Researcher at the KTH Royal Institute of Technology in the Networked Systems Security (NSS) Group , led by Prof. Panos Papadimitratos. His work focuses on security and privacy in wireless and mobile networks , with emphasis on vehicular communication systems and decentralized location-based services. Primary Affiliation : Division of Software and Computer Systems, KTH Royal Institute of Technology Research Focus : Vehicular network security, DoS-resilience, privacy protection, and decentralized authentication mechanisms Research Trends : Hongyu Jin's publications highlight advancements in secure vehicular communication , including mitigation of Distributed Denial-of-Service (DoS) attacks , beacon verification , and Wi-Fi localization privacy . His work integrates cooperative security models and Bloom Filter-based certificate validation to enhance scalability and robustness in automotive networks. Additional Contributions : He has developed runtime MAC address re-randomization for Wi-Fi privacy, decentralized LBS frameworks , and scalable identity management infrastructures for vehicular systems.

Onur KayaView profile

Professor

• Wireless Communication Theory
• Information Theory
• Multi-user Information Theory
• +9 more

Prof. Dr. Onur Kaya is a Professor and Dean of the Faculty of Engineering and Natural Sciences at Işık University in Istanbul, Turkey. He leads the Department of Electrical and Electronics Engineering and has been a faculty member since 2005. His academic leadership extends to the Engineering Deans Council of Turkey where he serves on the executive board. Işık University, Faculty of Engineering and Natural Sciences (2005-present) University of Maryland, College Park (PhD, MS) İhsan Doğramacı Bilkent University (BS) Prof. Kaya's research spans wireless communication theory and information theory with particular focus on multi-user systems, semantic/goal oriented communication, and energy harvesting networks. His work addresses fundamental challenges in 6G development, physical and MAC layer protocol design, cognitive radio systems, and age of information metrics. His research bridges theoretical information theory with practical communication system design, particularly in cooperative and energy-constrained wireless networks. His publication record shows a clear evolution from fundamental information theory work on cooperative multiple access channels to contemporary research on semantic communication, age of information, and energy harvesting systems. Recent publications demonstrate increasing focus on practical applications for next-generation wireless systems, particularly in the areas of goal-oriented communication and timeliness metrics. IEEE WCNC 2008 Best Paper Award Outstanding Achievement Award in Education, Işık University Prof. Kaya has successfully secured multiple TÜBİTAK 1001 research grants as principal investigator, focusing on cooperative communication systems and energy harvesting wireless networks. He has advised numerous PhD and master's students whose theses address various aspects of cooperative communication protocols, resource allocation, and energy harvesting systems. His research group has made significant contributions to cooperative multiple access channel theory and its practical implementations. His laboratory work focuses on implementing cooperative diversity techniques, resource allocation algorithms, and semantic communication protocols for wireless networks, with applications in IoT, 5G/6G, and energy-constrained systems.

• Health Psychology
• Behavioral Medicine
• Organ Donation Strategies
• +4 more

Professor Ronan O'Carroll is a Clinical and Health Psychologist at the University of Stirling, holding roles as past President of the UK Society for Behavioural Medicine and Behaviour Change Expert to NICE's Vaccine Uptake Committee. He leads research in health behavior change, organ donation, and cancer screening adherence. With over 250 peer-reviewed publications and an h-index of 80, his work spans behavioral medicine, mental health, and public health policy. Education: BSc (Hons) Biological Sciences (University of Edinburgh, 1979), PhD in Behavioral Endocrinology (1983), clinical psychology training (Edinburgh, 1983-85). Past roles include Assistant Professor at Memorial University, Senior Research Fellow at Stirling, and Professorships at University of St Andrews and later return to Stirling in 2003. Research focuses on emotion-driven health decisions, including strategies to improve organ donation rates, colorectal cancer screening uptake, and medication adherence. Key projects include the TELBRECS, ARTICS, INORDAR, and IAMSS initiatives. He co-designed interventions like the MAC pharmacy consultation tool and the ActWELL lifestyle program. Awards include Fellowship of the Royal Society of Edinburgh and UK Academy of Social Sciences. His work addresses psychological factors in suicide prevention, vaccine hesitancy, and pandemic mental health. Active in editorial roles for journals like Health Psychology and Annals of Behavioral Medicine . Grants and advisory roles span NIHR, NICE, and Scottish Intercollegiate Guideline Network. His labs explore cortisol biomarkers in suicide risk and behavioral economics in healthcare decisions. Collaborates internationally on antimicrobial resistance and global health equity issues.

Fabio LavagettoView profile

Professor

• Telecommunications
• Internet of Things (IoT)
• Signal Processing
• +5 more

Fabio Lavagetto is a full professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. His research focuses on telecommunications, signal processing, and biomedical engineering, with particular emphasis on IoT applications for structural health monitoring and medical diagnostics. His recent work explores edge AI-driven signal compression, Wi-Fi-based privacy-preserving monitoring, and microwave imaging for pediatric stroke diagnostics. Publications highlight interdisciplinary approaches combining telecommunications, machine learning, and wearable sensor technology. Key Research Themes: Structural health monitoring with compressive sensing Microwave tomography for biomedical imaging Wi-Fi fingerprinting for context-aware systems Drone-based traffic and object monitoring Wearable IoT devices for rehabilitation

Farshid AgharebparastView profile

Associate Professor

• Data Communications
• Mobile Computing
• Wireless Networks
• +3 more

Farshid Agharebparast serves as an Associate Professor Teaching in the Department of Electrical and Computer Engineering at the University of British Columbia's Faculty of Applied Science. His academic career is anchored in data communications networks and mobile computing, with active contributions to the Communication Systems Research Group specializing in Data Communications. Education: BSc, University of British Columbia MASc, University of British Columbia PhD, University of British Columbia Dr. Agharebparast's research explores stochastic network calculus applications for wireless performance evaluation, cross-layer design in fading channels, and QoS provisioning. His work bridges theoretical frameworks like min-plus algebra with practical challenges in 4G handover privacy, bandwidth allocation in WiMAX, and traffic shaping for unreliable channels. These investigations address critical needs in next-generation mobile infrastructure where latency guarantees and resource efficiency are paramount. His teaching encompasses core engineering subjects including Circuit Analysis (ELEC 201), Operating Systems (CPEN 331), Computer Networking (ELEC 331, CPEN 400N), and multiple design studio courses (ELEC 291, CPEN 291). This portfolio demonstrates deep engagement with both foundational theory and hands-on implementation across electrical and computer engineering curricula. Scientific Awards: No awards documented in source materials Through design studio courses and undergraduate teaching assistantships, Dr. Agharebparast mentors emerging engineers in practical system development. His publication trajectory from 2001-2022 indicates sustained research activity in network performance modeling, though specific grant funding details remain unreported. His work consistently targets real-world wireless challenges including video streaming optimization and privacy-preserving mobility management. Affiliated with UBC's Communication Systems Research Group, he contributes to a collaborative ecosystem focused on data communications innovation. Current investigations appear centered on stochastic performance bounds for modern wireless architectures, extending his two decades of scholarship in network calculus applications.

Shadi SadeghpourView profile

Assistant Professor

• Cybersecurity
• Adversarial Machine Learning
• Network Security
• +4 more

Dr. Shadi Sadeghpour is an Assistant Professor of Cyber Operations at The Citadel, based in the Department of Cyber and Computer Sciences under the Swain Family School of Science and Mathematics. She holds a Ph.D. in Computer Science (Cybersecurity focus) from York University (2023), along with a B.Sc. in Computer Engineering and M.Sc. in Computer Networks from Toronto Metropolitan University. Her research emphasizes applying machine learning to cybersecurity challenges, particularly web bot detection, intrusion detection systems, and adversarial machine learning. Her work involves developing defenses against session-replay bots using techniques like LSTM neural networks and web page randomization (RanABD framework). She also studies behavioral analysis through datasets like ReMouse, which quantifies human trajectory patterns to distinguish bots. Current projects include UAV-based intrusion detection systems employing intelligent approaches. Dr. Sadeghpour actively advises undergraduate and graduate research groups at The Citadel. Her recent publications (2023-2025) focus on bot detection methodologies, IoT security, and machine learning applications in cybersecurity. She collaborates on projects addressing real-time botnet detection and ad fraud mitigation in digital advertising. Labs/Teams: Involved with The Citadel's Cyber Range and Research Labs including CHARIoTS Lab and RADIUS Lab. Engaged in Citadel Cyber Institute initiatives and DoD Cyber Service Academy Scholarship programs.

Natalija VlajicView profile

Associate Professor

• Network and information security
• Communication systems and network protocols
• Cybersecurity of industrial systems
• +7 more

Natalija Vlajic is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. She holds a PhD in Electrical Engineering from the University of Ottawa and an M.Sc. in Electrical and Computer Engineering from the University of Manitoba. Dr. Vlajic is a highly accomplished researcher with over 80 publications in international conferences and journals, specializing in cybersecurity with a focus on industrial control systems. Her primary research interests include network and information security, communication systems and network protocols, cybersecurity of industrial systems, machine learning applications in security, and system performance evaluation. She has made significant contributions to the understanding of security risk management, bot and DDoS attacks, user privacy, IoT security, and sensor networks. Her work bridges theoretical security concepts with practical applications in critical infrastructure protection. Dr. Vlajic's recent publications demonstrate a strong focus on Industrial Control Systems security, particularly addressing vulnerabilities through innovative approaches like risk-based cryptoperiod optimization, attack tree modeling using MITRE ATT&CK framework, and advanced bot detection techniques. Her research combines traditional security methodologies with machine learning and data analytics to develop more robust protection mechanisms for critical infrastructure. NSERC University Faculty Award Faculty-Wide Excellence in Teaching Award Departmental Mildred Baptist Teaching Award Best Poster Award at ACM/IEEE ICCPS (2023) Best Paper Award at HoTSoS (2018) Dr. Vlajic actively mentors graduate students including Gabriele Cianfarani, Melina Najimi, Stefan Petrovic, Shadi Sadeghpour, Daniel Brown, and Jazdeep Sarai. Her research group has received significant recognition, with students presenting at major conferences like GradCon hosted by Waterloo's Cybersecurity and Privacy Institute. She serves as a co-editor for the IEEE Communications Magazine special issue on Security of Communication Protocols in Industrial Control Systems. Her research is conducted through the Security Research at York (SecRAY) initiative, focusing on practical security solutions for industrial systems, web applications, and IoT environments. The group maintains strong industry connections and collaborates on real-world security challenges, particularly in the domain of critical infrastructure protection.

Jiongmin YongView profile

Professor

• Control Theory
• Differential Games
• Stochastic Differential and Integral Equations
• +1 more

Jiongmin Yong serves as a Professor of Mathematics at the University of Central Florida, holding office MSB 415 and teaching courses including MAA 6229 (Advanced Real Analysis) and MAC 2312H (Honors Calculus II) with regular office hours maintained on Monday, Tuesday, and Wednesday. His research spans foundational areas in applied mathematics with significant interdisciplinary impact: Control Theory for system optimization, Differential Games for competitive decision-making, Stochastic Differential and Integral Equations for modeling random processes, and Mathematical Finance for quantitative economic applications. These fields collectively address complex dynamic systems under uncertainty across engineering and financial domains. Professor Yong's scholarly impact is evidenced by prestigious recognitions: Inclusion in Stanford University's global list of top two percent most-cited researchers 2011 SIAG/CST Best SICON Paper award for "Optimal Stopping Problem for Stochastic Systems" (co-authored with Mou-Hsiung Chang and Tao Pang) International mathematics honor described as equivalent to an Oscar in the film industry His extensive publication record includes books, edited volumes, and selected papers tracked through MathSciNet with documented h-number and m-number metrics, though specific advising relationships and grant funding details were not provided in available sources. No laboratory or research team affiliations were mentioned in the institutional materials.

Pooria MadaniView profile

Assistant Professor

• Cybersecurity
• Machine Learning
• Adversarial Machine Learning
• +4 more

Pooria Madani is an Assistant Professor in the Department of Networking and IT Security at Ontario Tech University's Faculty of Business and Information Technology. He holds a PhD in Computer Science from York University (2021). His research focuses on leveraging machine learning for cybersecurity applications, including adversarial machine learning, intrusion detection, and malware classification. Dr. Madani's work addresses theoretical and practical challenges in securing networks and systems against evolving threats. Education: PhD in Computer Science, York University, 2021 Masters in Computer Science, University of New Brunswick, 2015 Bachelor of Science in Computer Science, University of Prince Edward Island, 2012 Research Interests: Cybersecurity and Adversarial Machine Learning Intrusion Detection Systems Malware Analysis and Evolution AI-driven Threat Mitigation IoT and Network Security Privacy in Distributed Systems Recent publications highlight advancements in securing quantum communication networks, combating adversarial attacks on neural networks, and leveraging deep learning for IoT threat detection. His work bridges theoretical frameworks with practical cybersecurity solutions, addressing modern challenges in data-driven defense mechanisms. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Details about current advisees or funded grants are not provided in the scraped content. Collaborations with industry and academic partners may exist but are unspecified. Labs/Teams: Affiliated with Ontario Tech's Faculty of Business and IT research groups, though specific lab affiliations are not detailed in the text.