Find Academic Supervisors

• Medical Research
• Artificial Intelligence
• Public Health
• +5 more

Assoc. Prof. Ivan Ivanov is affiliated with the Faculty of Theology at the University of Sofia , where he holds the academic rank of Associate Professor . His research spans interdisciplinary domains, including Medical Research , Artificial Intelligence , Public Health , and Theology . Email: ivan.ivanov@theo.uni-sofia.bg Research Interests: His work addresses diverse topics such as: Medical Research: Cancer prognosis, Ki-67 assessment, dental treatments, and infectious diseases. Artificial Intelligence: Energy consumption prediction and AI in programmer training. Public Health: Co-infections in pandemic contexts, substance abuse interventions, and epidemiological studies. Biomechanics: Analysis of human movement and therapeutic applications. Education: AI-driven educational tools and language acquisition. Theology: Historical and liturgical interpretations. Publications: His recent works focus on interdisciplinary applications in healthcare, AI, and theological studies, reflecting a broad methodological approach. Additional Contributions: Ivanov actively engages in software-defined radio research, cybersecurity, and educational technology development.

Etienne ZinkView profile

Researcher

• Software-Defined Networking (SDN)
• P4 Programming Language
• Network Security
• +3 more

Etienne Zink is a PhD Student & Research Assistant at the University of Tübingen , affiliated with the Faculty of Science and the Department of Computer Science , specifically the Chair of Communication Networks. His research focuses on Software-Defined Networking (SDN) and P4 programming language applications in network monitoring and softwarization. B.Sc. in Computer Science (2019-2022) at DHBW Stuttgart Campus Horb M.Sc. in Computer Science (2022-2024) at the University of Tübingen Etienne contributes to network softwarization research through projects involving Snabb-Based Service Functions and Rust Barefoot Runtime (RBFRT) . His work addresses performance optimization, protocol enhancements, and runtime control in SDN architectures. Recent publications focus on histogram-based RTT monitoring and P4TG framework improvements. He supervises courses including Network Security I/II and Public Cloud Computing , while tutoring Network Softwarization and Informatik der Systeme . Etienne's programming expertise includes Rust and P4 for network device control.

Xiaokang QiuView profile

Associate Professor

• Programming Languages
• Software Engineering
• Program Verification
• +2 more

Xiaokang Qiu serves as Associate Professor in Purdue University's Elmore Family School of Electrical and Computer Engineering, specializing in Programming Languages and Software Engineering with core expertise in program verification, program synthesis, and automated deduction. His research establishes critical bridges between enumerative and deductive synthesis methodologies, developing novel frameworks for verified program generation. Key contributions include string transformation synthesis with concurrency guarantees, bit-vector manipulation optimization via syntax-guided enumeration, and network design automation through comparative learning techniques. This work consistently advances formal verification foundations while addressing practical software engineering challenges. Publication trends from 2017-2025 reveal escalating complexity in synthesis targets—from basic data-structure manipulations to concurrent string operations and network configurations. His approach increasingly integrates machine learning elements with formal methods, demonstrating how query-based learning can drive near-optimal system design while maintaining provable correctness guarantees across diverse computational domains.

• 5G/6G Networks
• Software-Defined Networking (SDN)
• Internet of Things (IoT)
• +5 more

Dr. Syed Muhammad Raza is a Lecturer in Autonomous Systems & Connectivity at the University of Glasgow's James Watt School of Engineering, Department of Electronic and Electrical Engineering. His research bridges theoretical networking concepts with practical implementations in next-generation communication systems. His research focuses on 5G/6G networks , software-defined networking (SDN) , and IoT systems , with particular emphasis on mobility management, network traffic prediction, and autonomous connectivity solutions. His work integrates machine learning techniques like generative adversarial networks and temporal convolutional networks to solve complex networking challenges in wireless and mobile environments. Analysis of his 15 most recent publications reveals a strong trend toward AI-driven network optimization , with significant contributions in handover protocols for B5G/6G systems, anomaly detection in IoT data streams, and spatiotemporal modeling for traffic prediction. His research consistently addresses real-world implementation challenges in next-generation networking architectures. Dr. Raza maintains an active publication record with multiple high-impact journal articles in IEEE Transactions and other leading venues, demonstrating sustained research productivity since 2014. His collaborative work spans international institutions with frequent co-authorship patterns particularly with researchers at Chung-Ang University. His technical leadership is evident in novel protocol designs including VEAD for anomaly detection, iPaaS for intelligent paging, and HP-SFC for service function chaining protection. The practical implementations of his research are validated through experimental evaluations on real network testbeds and IoT gateways.

Stephen OjoView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Wireless Networks
• +6 more

Stephen Ojo serves as Assistant Professor of Electrical and Computer Engineering at Anderson University's College of Engineering, where he integrates Christian values with technical education. A senior IEEE member and NIH R25 research mentor, he leads the MDPI special issue on AI for Network Management while directing over 60 publications in wireless and biomedical AI systems. His educational foundation includes: BS in Electrical and Electronics Engineering, Federal University of Technology, Nigeria MS in Electrical and Electronics Engineering, Girne American University, Cyprus PhD in Information Systems, Girne American University, Cyprus Dr. Ojo's research pioneers AI-driven medical diagnostics and 5G/6G network optimization , developing systems like LesionNet for skin cancer detection and HO-SsNF for cervical cancer classification. His work spans cardiac signal analysis, neurological disorder prediction, and UAV network modeling with emphasis on explainable AI and real-world implementation. Recent publications reveal strong interdisciplinary trends merging deep learning with healthcare applications (65% of 2024 works), particularly in medical image analysis and physiological signal processing. Wireless networking research focuses on energy-efficient routing and adversarial attack defense in critical infrastructure. His scientific recognition includes: Elevation to IEEE Senior Member grade As NIH R25 mentor, Dr. Ojo guides biomedical research while developing active learning frameworks for student anxiety prediction and elderly activity monitoring. His teaching philosophy emphasizes hands-on problem solving with ethical engineering practice, reflected in AU's Christ-centered curriculum since his 2021 appointment. His laboratory work focuses on wireless sensor networks and medical AI prototyping, with ongoing projects in Parkinson's detection via voice analysis and myocardial infarction prediction using multi-label classification systems.

Mohammed AlsalehView profile

Associate Professor

• Network Security and Resilience
• Automated Malware Analysis
• Security Incident Response Automation
• +1 more

Mohammed Alsaleh serves as Associate Professor and Data Center Manager in the Department of Information Security and Applied Computing at Eastern Michigan University. Education: Ph.D. in Computing and Information Systems, University of North Carolina at Charlotte (2018) B.S. in Computer Engineering, Jordan University of Science and Technology (2007) Research Focus: His work centers on automated security frameworks and formal verification methods for cyber defense. Key specialties include network resilience against lateral movement, malware analysis automation, and ROI-driven risk mitigation through host compliance systems. His research bridges theoretical formal methods with practical incident response solutions. Publication Trends: His 2014-2018 publications reveal consistent focus on cybersecurity verification, with increasing emphasis on software-defined networking (SDN) solutions and economic risk modeling. Recurring themes include automation of defense strategies, empirical security literature analysis, and innovative approaches like gamified configuration analytics. Academic Contributions: Teaches core courses including IA 150 Networking I and IA 400 Malware Analysis and Reverse Engineering, integrating his research into curriculum development for cybersecurity education.

Sufian YousefView profile

Associate Professor

• Wireless Networks
• RF Systems
• Noise Cancellation
• +8 more

Associate Professor at Anglia Ruskin University's School of Engineering and the Built Environment within the Faculty of Science and Engineering. Director of the Telecommunications Engineering Research Group with expertise in electronic design of telecommunication networks and wireless systems. Education: PhD in Telecommunication Engineering, Anglia Ruskin University MSc in Telecommunications Systems Management, Anglia Polytechnic University BSc in Electrical & Electronic Engineering, Baghdad University Research focuses on wireless networks , RF systems , noise cancellation , and mobile communications across 2G-5G generations. His work extends to cyber security , RF MEMs , mobile ad hoc networks , and emerging areas including cloud computing and artificial intelligence in networking systems. Recent publications reveal strong emphasis on network performance optimization, security enhancements, and energy efficiency in wireless systems, with significant contributions to mobile ad hoc networks, cloud offloading algorithms, and software-defined networking architectures. Awards: Royal Academy of Engineering award (1999) Supervised 12 PhD students and 2 MPhil students to completion as primary supervisor, with 2 additional PhD completions as secondary supervisor. Currently guides 4 PhD candidates. Secured competitive grants including Newton-Bhabha Fund (2016) and UKIERI UK-India Education and Research Initiative (2014-2016) for collaborative research in mobile accessibility and network security. Leads consortium bids for EU Horizon 2020 projects and directs research in RF MEMs sensor design and mobile multiprotocol switches, with active industry collaborations including Sedgewall Ltd and Glazing Vision.

Dong Jae KimView profile

Professor

• Software Engineering
• Software Testing
• Mining Software Repositories

Dong Jae Kim is a Professor at DePaul University in the United States, actively contributing to the software engineering community through research and conference service. He serves on program committees for major venues including ICSE, ESEC/FSE, ASE, and CASCON, and maintains a professional presence via his personal website and Twitter account. His academic profile reflects deep engagement with empirical software engineering research and emerging AI methodologies. Kim's research centers on Software Engineering with specialized focus on Software Testing and Mining Software Repositories. He investigates critical challenges in test code maintenance, particularly how object-oriented features like inheritance and interfaces impact test quality. His work increasingly integrates artificial intelligence, especially large language models, for tasks including log analysis, fault localization, and code generation. This dual emphasis on foundational testing principles and cutting-edge AI applications defines his scholarly identity. Analysis of Kim's publication trajectory from 2020-2026 reveals a strategic evolution toward AI-enhanced software engineering. Early work established empirical foundations in test smell evolution, while recent publications demonstrate sophisticated application of large language models to log parsing (LibreLog, LLMParser), fault localization (Order Matters!), and code generation (SOEN-101). The consistent thread through his research is rigorous empirical validation of practical tools, with growing emphasis on benchmarking open-source AI solutions for real-world software engineering problems. No scientific awards, fellowships, or medals were documented in available sources. Similarly, no information was found regarding graduate students advised by Kim or details of research grants secured. Laboratory affiliations, research teams, and collaborative projects remain unspecified in current records. Future research directions appear oriented toward refining AI-driven approaches for software maintenance tasks, particularly in log analysis and test code optimization, though explicit future work statements were not identified.

Cem ErsoyView profile

Professor

• Wireless Networks and Mobile Applications
• Pervasive Health
• Internet of Things
• +12 more

Cem Ersoy is a full Professor at the Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He serves as the Vice Director of TETAM and leads the Computer Networks Research Laboratory (NetLab), driving forward research in wireless networks, pervasive health, IoT, 5G, SDN, and emerging air computing paradigms. His research spans cutting-edge domains such as air computing, edge intelligence, wearable stress monitoring, indoor localization, and smart city neurocomputing challenges. By integrating deep reinforcement learning, probabilistic modeling, and IoT systems, his work aims to create unobtrusive, scalable, and adaptive computing solutions for real-life environments. Recent publications reveal a strong focus on air computing as a novel computation paradigm, leveraging multi-agent deep learning and simulation frameworks. Another major trend is wearable-based affect and stress monitoring , where semi-supervised learning and explainable AI reduce labeling burdens while enhancing real-life applicability. Additional work addresses edge computing orchestration , network slicing , and live video streaming optimization using SDN and reinforcement learning. Prof. Ersoy actively advises graduate researchers and leads funded projects in national and international arenas, although specific grant titles and student names are not listed in the source. His lab, NetLab, provides a collaborative environment for innovations in computer networks, IoT, and pervasive health technologies.

Omar RamahiView profile

Professor

• Electromagnetics
• Biomedical Engineering
• Renewable Energy
• +4 more

Dr. Omar Ramahi is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, leading the Advanced Concepts Research (ACR) Laboratory. He holds a PhD from the University of Illinois at Urbana-Champaign and has held academic positions at the University of Maryland and industry roles at Digital Equipment Corporation. His research focuses on electromagnetic phenomena, biomedical applications, renewable energy, and metamaterials, with over 500 publications and co-authorship of the textbook EMI/EMC Computational Modeling Handbook . Education: PhD, Electrical and Computer Engineering, University of Illinois (1990) MSc, Electrical and Computer Engineering, University of Illinois (1986) BSc (Mathematics) & BSc (Electrical Engineering), Oregon State University (1984) Research Interests: Radiating systems and antennas Biomedical imaging and sensing (e.g., breast cancer detection, bone fractures) Electromagnetic compatibility (EMC) and interference Metamaterials and metasurfaces Renewable energy harvesting and wireless power transfer Low-frequency electromagnetic tomography Awards: IEEE Electromagnetic Compatibility Society Technical Achievement Award (2012) University of Waterloo Research Excellence Award (2022) IEEE Fellow (Elected) 2010 Excellence in Graduate Supervision Award Advising & Labs: Directed over 30 PhD and MS students, many now faculty globally. ACR Lab develops wearable health sensors, radar-based medical imaging, and energy harvesting systems. Notable projects: Jewelry-based health monitors, microwave breast cancer detection, UAV classification via radar.

Rajibul IslamView profile

Associate Professor

• Quantum Computing
• Quantum Simulation
• Trapped Ion Physics
• +3 more

Rajibul Islam is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing (IQC) and the Department of Physics and Astronomy. His research focuses on quantum computing and quantum simulation using trapped ions, with contributions to quantum control, spin systems, and optical engineering. He leads the Quantum Information Technology and Ion Trapping (QITI) group. His work bridges theoretical models with experimental implementations in ion trap systems. Key areas of research include programmable spin simulations, qubit preservation, and quantum error correction. He has developed novel techniques for ion trap fabrication and optical addressing systems to enhance scalability. His experimental setups often involve hybrid optical cavities and advanced laser systems to achieve precise quantum control. Rajibul's recent work emphasizes scalable quantum architectures, leveraging machine learning for system optimization and holographic methods for high-precision control. His contributions span both foundational quantum physics and applied technologies for quantum information processing.

Boris KoldehofeView profile

Professor

• Networked and Distributed Systems
• Middleware
• Event-based Systems
• +7 more

Boris Koldehofe is a Professor of Computer Networks at the University of Groningen's Faculty of Science and Engineering, where he leads research in distributed systems and network technologies. He also maintains significant academic connections as an Adjunct Professor at TU Darmstadt (as part of the DFG Collaborative Research Centre 1053 MAKI) and recently joined TU Ilmenau as Professor heading the Distributed Systems and Operating Systems Group. His educational background includes a Habilitation in Communications and Distributed Systems from Technische Universität Darmstadt (2019), a Ph.D. from Chalmers University of Technology (2005), and a Diplom in Informatik from Universität des Saarlandes (1999). Throughout his career, he has held positions at prestigious institutions including Technische Universität Darmstadt, Universität Stuttgart, EPFL, and Ruprecht-Karls-Universität Heidelberg. Koldehofe's research focuses on networked and distributed systems with particular emphasis on middleware, event-based systems, software-defined networking, and the emerging field of in-network computing. His work has evolved significantly toward energy-efficient cognitive computing, especially through the exploration of memristor-based technologies for network functions. His research addresses critical challenges in distributed systems performance, privacy, and adaptability in increasingly complex network environments. His recent publications demonstrate a clear trajectory toward energy-efficient network computing, with a significant portion of his work in the last three years focusing on memristor applications for cognitive network functions, in-network data stream processing, and privacy-preserving analytics. His research bridges theoretical distributed systems concepts with practical networking implementations, particularly leveraging programmable data planes and novel hardware architectures. 2019 ACM Service Recognition Award for organizing the 13th ACM Conference on Distributed and Event-Based Systems 2017 Best Research Paper at ACM USENIX Middleware Conference 2015 Ausgezeichneter Ort Land der Ideen (Excellent innovation with CRC MAKI) As an academic advisor, Koldehofe has supervised several doctoral students including Manisha Luthra (awarded KUVS Dissertation Award for 'Network-centric Complex Event Processing') and Saad Saleh (who successfully defended his PhD on memristor-based computing architectures). His research has been supported by numerous grants including DFG-funded projects like 'DynSDN', industry collaborations with Deutsche Telekom, and participation in the CogniGron research center focused on cognitive systems and materials. He leads the Distributed Systems Group at University of Groningen and collaborates extensively with research teams at TU Ilmenau and TU Darmstadt through the MAKI research center.

• Computer Networks
• Networked Systems
• Network Resilience
• +3 more

Charalampos Rotsos is a Senior Lecturer in Computer Networks and Networked Systems at Lancaster University's School of Computing and Communications . He leads research in network resilience, programmability, and virtualization. Current projects: DSI: DVAC (Data-driven Visualisation and Aggregation of Cyber vulnerabilities) Research groups: SCC (Networking), i-DID Research Focus : His work spans intent-based networking, middlebox resilience, software-defined networking (SDN), network virtualization (NFV), and cybersecurity. Recent studies include semantic intent translation frameworks (SWIFT), virtualization-driven resilience (REMEDIATE), and state mirroring for middleboxes (Katoptron). Collaborative Efforts : He contributes to projects like NG-CDI (Future Network Intelligence) and develops tools for emulation automation (NES), network policy inference (Reasonet), and high-speed network evaluation (OFLOPS-SUME). PhD Supervision : Mentors students including Paul Alcock, Revika Anand, and Alexander Jung in networked systems research. Collaborates with PhD students in the SCC (Networking) group. Contact : Office D14, InfoLab21. Email: c.rotsos@lancaster.ac.uk

• Network Security
• Decentralized Systems
• Privacy-Preserving Technologies
• +7 more

Prof. Björn Scheuermann is a Professor in the Department of Computer Science at Technische Universität Kaiserslautern, Germany. His research focuses on network security, decentralized systems, privacy-preserving technologies, and distributed algorithms. He has contributed to foundational work on anonymization protocols (e.g., Tor improvements), blockchain systems, and vehicular networks. His work often bridges theoretical computer science with practical implementations in domains like satellite communication and industrial IoT. Key areas of research include: Decentralized Systems: Analysis of IPFS, Bitcoin, and blockchain architectures. Anonymity Networks: Improving Tor's fairness and privacy guarantees. Network Security: Collaborative intrusion detection in SDN, firewall acceleration via FPGA. Wireless & Satellite: Optimizing data transmission for low-earth-orbit satellites and industrial sensors. Recent trends in his publications emphasize: Integration of machine learning for adaptive network security (e.g., COML-IDS framework). Dynamic routing protocols for fault tolerance (e.g., OD³R). Privacy in emerging technologies like mobile data donation apps and decentralized storage. His work has been published in top-tier venues like IEEE/ACM Transactions, IFIP Networking, and ACM SIGCOMM workshops. Collaborations span academia and industry, focusing on practical applications of secure and efficient network architectures.

Vuk MarojevicView profile

Associate Professor

• Wireless Communications
• Software-Defined Radio
• Open Radio Access Networks (O-RAN)
• +7 more

Dr. Vuk Marojevic is an Associate Professor in the Department of Electrical and Computer Engineering at Mississippi State University (MSU), holding the Paul B. Jacob Chair. He leads research in wireless communications, focusing on open radio access networks (O-RAN), AI-driven security, and UAV (drone) communications. His work emphasizes software-defined radio (SDR), spectrum sharing, and testbed development for 5G/6G networks. Education: Ph.D. and M.S. in Electrical Engineering from Barcelona Tech–UPC (Spain) and University of Hannover (Germany), respectively. Key projects include leading NSF-funded initiatives like AERPAW and Open Artificial Intelligence Cellular (OAIC), which prototype AI-enabled control systems for cellular networks. He also co-designed the AERPAW testbed for UAV experimentation. Research interests span O-RAN security, AI at the physical layer, wireless security protocols, and vehicular communications. His contributions include open-source implementations of 4G/5G protocols and frameworks for secure slicing and intrusion detection in O-RAN deployments. He actively collaborates with industry and academic partners to advance standards for unmanned aircraft systems (UAS) in cellular networks. Publications highlight innovations in reinforcement learning for resource allocation, RIS (reconfigurable intelligent surfaces) applications, and secure UAV communications. He serves as an associate editor for IEEE Transactions on Vehicular Technology and IEEE Vehicular Technology Magazine. Current research includes prototyping zero-trust security architectures (ZTRAN) and evaluating interference mitigation in drone corridors. He mentors students in MS and Ph.D. programs focusing on wireless systems, security, and AI integration in next-gen networks.