Find Academic Supervisors

• Operations Research
• Scheduling
• Machine Learning
• +6 more

BEZOUI Madani is a Researcher-Lecturer at CESI, affiliated with the 'Engineering and Numerical Tools' research team. He holds a PhD in Operational Research from the University of Science and Technology Houari Boumediène (2019), with a focus on multi-objective programming in portfolio optimization. His academic roles include serving as a pedagogical tutor for FISA training courses and heading the 'Data Sciences' program for 5th-year Computer Science Engineers at CESI. His research interests center on Industry 4.0/5.0, optimization of complex systems, machine learning, IoT/BIM technologies, and scheduling. Notable work includes integrating human-centricity and sustainability into digital twin models and advancing hybrid metaheuristics for multi-objective manufacturing optimization. Recent publications (2021–2024) address preference-driven optimization methods, tabu search algorithms, and IoT network vulnerability detection. He has authored a book on Euclidean graph boundaries and contributed to frameworks for flexible job shop scheduling. His ongoing research focuses on decision-maker preference integration in dynamic scheduling under Industry 5.0 contexts. Advising and grants: No specific advising roles or grants mentioned in the CV. His educational activities emphasize pedagogical leadership in data science and operational research. Labs/teams: Active member of CESI’s Engineering and Numerical Tools group, collaborating on IoT, digital twins, and optimization projects.

• Data Analytics
• Internet of Things (IoT)
• Machine Learning
• +3 more

Shafique Chaudhry is an Assistant Professor of Information Systems and Operations at the Reh School of Business, Clarkson University. He holds a Master's in Computer Science from the University of Punjab, Pakistan, and a PhD from Ajou University, Korea. His postdoctoral research at University College Cork, Ireland, preceded his faculty roles in Saudi Arabia and Oman. His research focuses on Data Analytics, IoT, and Machine Learning, with applications in cybersecurity, smart grids, and healthcare. He has authored over 30 peer-reviewed articles and holds two international patents. Notable awards include IITA Korea's research award and Dhofar University's Best Researcher award (2015). Dr. Chaudhry teaches courses such as Applied Data Analytics, Machine Learning, and Database Design. His work spans IoT security frameworks, sensor network optimization, and policy compliance systems. Recent trends in his publications emphasize hybrid ML techniques for IoT security, environmental sensor calibration, and pediatric neurosurgery outcome analysis. Education : MSc Computer Science (Punjab University), PhD (Ajou University) Patents : Two international patents (details not specified) Lab/Teams : Active in IoT, cybersecurity, and smart systems research groups

Manuel RicardoView profile

Professor

• Mobile Communications Networks
• Quality of Service
• Radio Resource Management
• +5 more

Manuel Alberto Pereira Ricardo is a Full Professor at the Faculty of Engineering of the University of Porto (FEUP), teaching courses on Mobile Communications and Computer Networks. He holds the position of TEC4 Coordinator at INESC TEC since January 1, 1996, where he has progressed through roles including Wireless Networks area coordinator, Center for Telecommunications and Multimedia director, and Board of Directors member. His research focuses on mobile communications networks, quality of service, radio resource management, network congestion control, and performance assessment. Licenciatura, M.Sc., and Ph.D. (2000) in Electrical and Computer Engineering (Telecommunications) from FEUP Manuel's recent research trends include 6G technology , O-RAN architecture , and autonomous UAV positioning . He has contributed to vision-aided Radio Access Networks (RANs), reinforcement learning (RL) frameworks for unmanned aerial vehicle (UAV) positioning, and open interface-based mobile RAN control systems. Publications emphasize millimeter-wave communication, network automation, and environment-aware connectivity solutions. He has supervised numerous graduate theses on topics spanning mobile network topology control , underwater radio communications , 5G private networks , vision-aided airborne communications , and O-RAN-based autonomous control . At INESC TEC, he leads telecommunications initiatives and has participated in over 30 research projects with 150+ publications.

Bo TanView profile

Associate Professor

• Wireless Communications
• Signal Processing
• Machine Learning
• +7 more

Bo Tan is an Associate Professor in Communications Engineering and Signal Processing at the Department of Electronic and Electrical Engineering, University College London (UCL). He previously held positions as Associate and Assistant Professor at Tampere University, Finland, where he retains a Docent title. His research focuses on radio signal processing, wireless communications, integrated sensing and communication (ISAC), machine learning applications in healthcare, and radar systems. He has coordinated major projects such as ANCHOR (Horizon Europe MSCA Doctoral Networks) and SPHERE-DNA (Finland Research Council), and serves as an Associate Editor for IEEE Wireless Communications Letters. Education: PhD in Engineering, University of Edinburgh (United Kingdom) Postdoctoral Researcher roles at: University College London (Computer Science & Electronic Engineering) University of Bristol (Electrical and Electronic Engineering) Research Interests: Wireless communication systems (5G/6G, THz, mmWave) Radar-communication integration and dual-functional systems Machine learning for signal processing and healthcare Integrated sensing and communication (ISAC) architectures Non-invasive healthcare monitoring via passive sensing Key Projects (2021–2025): ANCHOR (2025–2029): Research Coordination Committee lead SPHERE-DNA (2021–2024): PI focusing on federated learning for eHealth ACCESS (2021–2025): PI on wireless network security DIOR (2022–2027): Coordinator for H2020 MSCA Professional Roles: Vice Chair, IEEE Finland AP/ED/MTT Chapter Reviewer for IEEE/ACM/IET journals Labs/Teams: Leading the SPHERE-DNA initiative on privacy-preserving healthcare systems Active contributor to the IEEE's wireless communication standards

Riaz Ahmed ShaikhView profile

Associate Professor

• Privacy
• Security
• Trust Management
• +7 more

Riaz Ahmed Shaikh is an Associate Professor in Computing Sciences at the University of East Anglia (UEA), affiliated with the School of Computing Sciences and the Cyber Intelligence and Networks research group. He holds a PhD from Kyung Hee University (2009) and completed a Postdoc at Université du Québec en Outaouais (2009-2012). Previously, he served as an Assistant and Associate Professor at King Abdulaziz University (2012-2022). His expertise spans Privacy, Security, Trust Management, Policy Validation, and IoT/VANET systems, with contributions to UN Sustainable Development Goals in education and technology. Education: Postgraduate Certificate in Higher Education Practice, University of East Anglia (2024) PhD in Computing Sciences, Kyung Hee University (2009) Research Interests: Dr. Shaikh focuses on securing next-generation networks, including IoT, IoMT, and vehicular systems. His work emphasizes trust management frameworks, intrusion detection, and privacy-preserving protocols. Recent projects include AI-driven anomaly detection and fog computing-based DDoS mitigation. He also explores authentication schemes and policy validation in distributed systems. Grants & Collaborations: Lead on Innovate UK-funded projects: SPARC (Connected Vehicles Security, 2025-2025) and AI-driven Medical IoT Trust Management (2024-2025) Collaborations across Europe, Asia, and North America in cybersecurity and networking Labs & Teams: Active member of the Cyber Intelligence and Networks group at UEA, leading efforts in secure IoT and vehicular systems. Engages in conference organization (e.g., Ambient Computing conferences) and peer-review roles for journals like IEEE Transactions on Consumer Electronics.

Peppino FazioView profile

Associate Professor

• Telecommunications
• Wireless Networks
• Vehicular Networks
• +9 more

Peppino Fazio is an Associate Professor at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice. He holds a degree in Computer Engineering (2004) and a PhD from the University of Calabria (2008). His research focuses on telecommunications, wireless networks, and quantum key distribution, with contributions to vehicular networks, cybersecurity, and IoT systems. Key career milestones include post-doctoral research in Spain (2008), involvement in EU projects (e.g., ORACOLO), and leadership in StartCup-winning ventures like SPITCH (2014). He has authored over 130 publications, with recent work addressing quantum networks, deep learning for intrusion detection, and multi-layer robotic swarm management. Received StartCup Calabria 2012 and Lamarck Award 2014. Co-founder of SPITCH and developer of the Intelligent Remote Controller (IRC). His research spans theoretical and applied domains, including network emulation, mobility prediction in 5G/6G systems, and medical neuroscience modeling through network operators.

• Wireless Communications
• Signal Processing
• Machine Learning
• +3 more

Hongliang Zhang is a faculty member at Peking University, School of Electronics , specializing in wireless communications and next-generation networks. His work spans reconfigurable intelligent surfaces (RIS), holographic MIMO, and meta-material-based sensing. Research Focus: 6G wireless systems, integrated sensing and communication (ISAC), beamforming optimization, and anti-jamming techniques. Recent Trends: Integration of large language models in aerial edge computing, generative AI for radio map benchmarks, and security frameworks for vehicular metaverses.

Richard P. MartinView profile

Associate Professor

• Wireless Networks
• Sensor Networks
• Network Security
• +5 more

Richard P. Martin is an Associate Professor and Associate Chair in the Department of Computer Science at Rutgers University's School of Arts and Sciences. His research focuses on wireless networks, sensor systems, and network security applications, with particular emphasis on practical implementations that address real-world challenges in healthcare monitoring, energy efficiency, and network performance. He maintains an active research group working closely with WINLAB (Wireless Information Network Laboratory) and has numerous ongoing collaborations with industry and academic partners. Dr. Martin's research interests span several interconnected domains including wireless communication systems, sensor network design, network security, localization technologies, and energy-efficient computing. His work bridges theoretical computer science with practical engineering applications, often focusing on how wireless technologies can solve problems in healthcare monitoring, particularly medication adherence systems. His research group develops innovative solutions that combine hardware and software approaches to address challenges in wireless sensing, network security, and system optimization. The team's work often involves creating novel protocols and architectures that improve performance while maintaining security and privacy constraints. His recent publication trends show increasing focus on healthcare applications of wireless technology, particularly medication adherence monitoring systems using smart pill bottles and other unobtrusive sensing approaches. He has also maintained a strong research thread in wireless network security, localization systems, and energy-efficient computing. His work often combines machine learning techniques with traditional networking approaches to create more intelligent and adaptive systems. The interdisciplinary nature of his research spans computer science, electrical engineering, and healthcare technology domains. Dr. Martin has advised numerous graduate students who have co-authored publications with him, including Murtadha Aldeer, Mohammadreza Soltaniyeh, and Jorge Ortiz. His research has been supported by various funding sources that enable the development of practical wireless systems and sensor networks. He teaches courses in computer systems and structures, sharing his expertise in networked systems with undergraduate and graduate students. His laboratory work centers around WINLAB, where his team develops and tests wireless and sensor network technologies. The lab focuses on creating practical implementations of theoretical concepts, often building custom hardware and software solutions to address specific challenges in wireless communications and sensing. Current projects emphasize healthcare applications, energy efficiency, and security in wireless systems.

Sankardas RoyView profile

Associate Professor

• Cybersecurity
• Digital Forensics
• Android Security
• +5 more

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).

• Wireless Communications
• Signal Processing
• MIMO Systems
• +6 more

Claude D'Amours is a Professor in the Department of Electrical and Computer Engineering at the University of Ottawa, Faculty of Engineering. With a research career spanning over two decades, his work has significantly contributed to the fields of wireless communications, signal processing, and network security. His current research focuses on cutting-edge technologies including 5G/6G networks, UAV communications, reconfigurable intelligent surfaces, and physical layer security. Dr. D'Amours' research interests center on advanced wireless communication systems, with particular emphasis on MIMO technologies, CDMA systems, spectrum sensing techniques, and channel modeling for emerging applications. His work bridges theoretical foundations with practical implementations, addressing critical challenges in modern wireless networks including interference management, security vulnerabilities, and efficient resource allocation. Recent research has expanded into UAV communications, where he investigates channel characteristics and reliability issues in drone-based networks. Analysis of his recent publications reveals a strong focus on security aspects of wireless communications, particularly physical layer security mechanisms to counter jamming attacks and eavesdropping. His work on RF fingerprinting for device authentication in industrial IoT settings demonstrates practical applications of his theoretical research. The trend in his publications shows increasing attention to 5G/6G technologies, with particular emphasis on millimeter wave communications, hybrid precoding architectures, and novel approaches to spectrum sharing. Multiple publications on UAV-to-ground channel modeling and performance analysis Research on physical layer security mechanisms against jamming attacks Work on hybrid precoding architectures for mmWave MIMO systems Studies on RF fingerprinting for secure industrial IoT applications Investigations into spectrum sensing techniques for cognitive radio Dr. D'Amours maintains active research collaborations with numerous colleagues, particularly Michel Kulhandjian, Hovannes Kulhandjian, and François Chan, resulting in a consistent stream of high-impact publications across top-tier IEEE journals and conferences. His research group appears to focus on both theoretical analysis and practical implementation of advanced wireless communication techniques, with applications spanning from critical mission communications to industrial IoT security.

• Wireless Communication
• Machine Learning
• Internet of Things (IoT)
• +3 more

Aderemi Aaron-Anthony Atayero is an academic affiliated with the Department of Electrical Engineering and Information Engineering at Covenant University, Nigeria. His research focuses on telecommunications, wireless communication systems, IoT applications, and machine learning, with a strong emphasis on path loss modeling, signal processing, and smart city technologies. He has contributed to over 30 publications since 2005, collaborating extensively with researchers like Segun I. Popoola, Sanjay Misra, and Simon K. Hinga. His work spans theoretical and applied domains, including 5G mmWave models, botnet detection in IoT networks, and smart city infrastructure. Notable projects include the development of a low-intensity light imaging probe for medical applications and a cellular RSS dataset for roaming analysis. His research has practical implications for urban communication systems, healthcare technology, and cybersecurity.

Shuminoski TomislavView profile

Researcher

• Telecommunications
• Wireless Networks
• Cybersecurity
• +6 more

Shuminoski Tomislav is a researcher at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds a PhD in Electrical Engineering and Information Technologies (2016) with a dissertation on 5G QoS mechanisms and vertical multi-homing. His academic background includes a Master’s (2010) and Bachelor’s (2008) in Telecommunication, both with perfect grades. He specializes in telecommunications, cybersecurity, and next-generation mobile networks, focusing on QoS optimization, 5G infrastructure, and secure communication frameworks. Education: PhD, 2016: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies (Dissertation: “QoS Mechanisms and Vertical multi-homing for 5G Mobile and Wireless Networks”) M.Sc., 2010: Telecommunication, Module: Communication and Information Technologies B.Sc., 2008: Telecommunication Research Interests: His work spans 5G networks, mobile edge computing, cybersecurity, IoT security, QoS provisioning, and blockchain applications in cloud computing. He emphasizes practical implementations of theoretical models in real-world scenarios, such as emergency response systems and ultra-reliable low-latency communication. Publications: Over 30 peer-reviewed articles since 2009, including innovative papers on 5G frameworks, secure communication platforms, and steganographic techniques. Recent work focuses on AI-driven resource allocation and quantum-resistant cryptography for IoT. Awards/Grants: No specific awards mentioned, but active in collaborative industry projects on network security and cloud infrastructure. Labs/Teams: Associated with the Telecommunications Institute at FEIT, contributing to research on wireless networks and critical infrastructure systems.

Gavrilovska LiljanaView profile

Associate Professor

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +8 more

Liljana Gavrilovska is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje (UKIM), specializing in the Department of Telecommunications. Her work focuses on advanced telecommunications systems, including 5G/Beyond 5G networks, mobile edge computing (MEC), blockchain applications in healthcare and IoT, cognitive radio networks, and network virtualization. She leads research groups addressing challenges in wireless resource management, energy efficiency, and distributed consensus mechanisms. Her research interests span telecommunications infrastructure , blockchain for healthcare systems , IoT optimization , and network slicing . Recent work includes developing the BloHeS consensus mechanism for blockchain systems and the Shapeshifter framework for MEC latency optimization. She also investigates dynamic spectrum allocation strategies and energy-efficient WuR-based IoT protocols. Publications emphasize practical implementations like the CHEST COPD e-Health platform and the FALCON project for virtualized network resource allocation. While no specific awards are listed, her contributions to open-source solutions like eWALL and SmartWine reflect industry engagement. Advising activities and grants are not explicitly detailed in the provided texts, though her involvement in EU projects like 5G-MEC and cognitive radio initiatives suggests significant collaborative work. Current projects include system design for blockchain-based public healthcare systems and analysis of heterogeneous network performance in LTE and DVB-T coexistence scenarios. She is actively involved in the FEIT Telecommunications Institute, contributing to both academic and applied research in telecommunications engineering.

• Computer Networks
• Telecommunications
• Machine Learning
• +4 more

Živko Bojović is affiliated with Singidunum University, holding a doctoral degree in Telecommunications and Signal Processing from the University of Novi Sad. His career includes roles as an engineer and manager in telecommunications companies like Telekom Srbija and PTT Serbia. He has extensive experience in academic publishing, with monographs on network technologies and textbooks on software-defined networking (SDN) and IoT applications. His research focuses on cybersecurity, machine learning applications in healthcare, smart government systems, and network virtualization. Education: PhD in Telecommunications (2011), Postgraduate studies in Telecommunications (2000-2001), Bachelor’s in Electronics with Telecommunications (1986-1992). He also completed high school in Peć with a mathematical focus. Research Interests: He explores advanced networking technologies including SDN, 5G/6G networks, IoT security, and educational technology innovations. His work bridges theoretical advancements with practical implementations in healthcare diagnostics and public sector digitization. Recent studies include applying machine learning to predict thrombosis and thyroid cancer metastasis, reflecting his interdisciplinary approach. His articles collectively highlight trends in smart systems (e.g., government services, energy grids) and network security, with frequent contributions to journals like Computer Applications in Engineering Education and Journal of Network and Systems Management . The Wiley Top Cited Article award (2020-2021) recognizes his impactful work on rapid transition to distance learning during crises. Prof. Bojović holds IEEE membership and sits on editorial boards for journals like Inventi Impact: Software Engineering . He actively participates in EU Horizon projects focusing on 6G privacy and smart city analytics.

• Citizen Science
• Pervasive Computing
• Smart Technologies
• +5 more

Dr. Michael O'Grady is a Senior Research Fellow at University College Dublin’s School of Computer Science. He holds a Grad Dip in University Teaching & Learning from UCD. His research focuses on smart technologies, including pervasive health, energy management, climate-smart agriculture, and participatory citizen science. He has led over 200 publications, achieving a H-index of 28, and contributed to EU initiatives like ISEED and Interreg AGEO. He serves on editorial boards and conference committees, including co-chairing Mobihealth 2020. His research interests emphasize transdisciplinary approaches to citizen observatories, smart city governance, and Responsible Research and Innovation (RRI). Notable contributions include the MÉRA Data Extraction toolkit for meteorological data and the development of the Citizen Observatory platform for community-based environmental monitoring. He has also explored edge computing’s role in smart agriculture and healthcare applications like wearable IoT-enabled health monitoring systems. Recent work addresses challenges in citizen science data practices, including surveys of citizen scientist experiences and open science principles. His articles highlight innovations in sensor technology, activity recognition, and participatory disaster risk reduction. Professional memberships include the European Alliance for Innovation (distinguished member), ACM, and IEEE (senior member). Teaching interests include problem-based learning in computing education and reflective pedagogical practices. He has coordinated modules at undergraduate and postgraduate levels, emphasizing transformative learning for sustainable development. Grants include the MAIA project (2003–2005), exploring mobile adaptive interface agents. Current collaborations involve COST action PARQ (cardiac arrest prediction) and EU citizen science initiatives. His work bridges technology, policy, and societal needs, with a focus on participatory frameworks for sustainable development.