Find Academic Supervisors

Tie CuiView profile

Lecturer

• Public Service Management
• Value Co-creation
• Service Ecosystems
• +5 more

Tie Cui serves as a Lecturer in Service Management at the University of Edinburgh Business School since April 2023, specializing in public service design and transformation. Her academic journey includes prior lecturing positions at the University of Greenwich (2021-2022) and Edinburgh Napier University (2022-2023). Dr. Cui holds a PhD from the University of Edinburgh (2021), fully funded by the Centre for Service Excellence (CenSE), following an MSc in Public Administration from Lanzhou University and a BSc in Public Administration from Shandong University. Her research centers on public service ecosystems , examining value co-creation and destruction in addressing grand challenges like climate change and pandemics. She employs qualitative methodologies to investigate policymaking, collaborative governance, and social innovation. Her work appears in leading journals including Public Administration Review , Public Administration , and Public Management Review . Analysis of her 24 publications reveals consistent focus on service ecosystem theory applied to crisis management (particularly pandemic responses) and environmental challenges. Her recent work increasingly integrates digital transformation themes with traditional public administration frameworks, demonstrating evolving research trajectories toward AI implementation and data-driven governance. Dr. Cui actively contributes to scholarly discourse through presentations and panel chairing at major conferences including IRSPM, PMRC, and PUBSIC. Her international collaborations span multiple continents, reflecting the global relevance of her public service research. She mentors students in public administration and service management, though specific advisee names aren't documented in available sources. Her research has secured funding through competitive channels including the Centre for Service Excellence, enabling fieldwork on Scottish public service innovations. Dr. Cui participates in the university's Service Innovation Lab, contributing to interdisciplinary projects examining healthcare service redesign and climate adaptation strategies through ecosystem lenses. Her current work explores AI ethics in public service algorithms and post-pandemic service recovery frameworks.

Louis RossiView profile

Professor

• Applied Mathematics
• Numerical Methods
• Computational Fluid Dynamics
• +3 more

Louis Rossi is a Professor and the inaugural Dean of the University of Delaware Graduate College, affiliated with the Department of Mathematical Sciences in the College of Arts & Sciences. His research focuses on numerical methods, computational fluid dynamics, and swarm dynamics, with applications to fluid flows, ecological systems, wireless networks, and robotics. He has advised students such as Riu Fang, Zhenyu He, and Claudio Torres in these domains. Research interests span mathematical biology, environmental modeling, network protocols, and control systems. Notable projects include modeling predator-prey interactions, optimizing wireless sensor networks, and analyzing information transfer in swarms. Rossi has developed computational tools like BlobFlow for fluid simulations and contributed to slime mold-inspired routing algorithms for sensor networks. His educational efforts include organizing international study programs, such as a mathematical modeling trip to Melbourne, and enhancing foundational math courses. Rossi’s work bridges theoretical mathematics with practical applications, emphasizing interdisciplinary collaboration and computational innovation.

Adam AliView profile

Assistant Professor

• Islamic Studies
• Medieval History
• Military History
• +5 more

Adam Ali is an Assistant Professor of Arabic Language in the Department of Near and Middle Eastern Civilizations at the University of Toronto. His research focuses on warfare, military slavery, and revolts in medieval Islamic societies, utilizing medieval Arabic chronicles and biographical documents. He teaches Arabic language courses at beginner and intermediate levels across multiple campuses and offers specialized courses on Islamic history topics. Education: PhD in Islamic History from the University of Toronto (Department of Near and Middle Eastern Civilizations), with prior M.A. degrees from the University of Western Ontario and the University of Toronto. Research Interests: Medieval Arabic military traditions, military slavery systems, rebellions, and violence dynamics in pre-modern Muslim societies. His work bridges historical analysis with primary sources, examining themes like the Zanj Revolt and Mamluk military structures. Publications include books like Slavery in Egypt under the Mamluks (Oxford UP, 2023) and Zanj Revolt in the Abbasid Caliphate (Oxford UP, 2022). His articles explore topics such as Ottoman military strategies, medieval warfare, and the socio-political role of slavery in Islamic empires. Teaching: Has developed advanced Arabic reading courses at the Mississauga campus and contributed to curriculum design for Islamic history modules. Active in pedagogical innovation for language education and historical content delivery.

• Network Optimization
• Network Economics
• Game Theory
• +7 more

ÖMER KORÇAK is an Associate Professor and Vice Chair at the Department of Computer Engineering, Faculty of Engineering, Marmara University in Istanbul, Turkey. He holds a B.S., M.S., and Ph.D. in Computer Engineering from Boğaziçi University (2002, 2004, 2009). He served as a visiting researcher at Deutsche Telekom Laboratories in Berlin in 2011. His research focuses on network optimization, game theory applications in wireless/broadband networks, and IoT systems. Education: B.S. (High Honors) in Computer Engineering, Boğaziçi University, 2002 M.S. in Computer Engineering, Boğaziçi University, 2004 Ph.D. in Computer Engineering, Boğaziçi University, 2009 Research interests include: Network Economics and Game Theory Wireless Network Optimization IoT Architectures and Applications Federated Learning and Edge Computing Secure Communication Protocols Recent work trends show strong focus on: Edge caching with machine learning Federated learning frameworks IoT-driven smart systems for waste/warehouse management Game-theoretic models for network resource allocation He has advised 4 theses and led 6 research projects. His lab (insyslab.com.tr) explores next-generation networking solutions.

• V2X Communications
• Connected Cars
• Wireless Networks
• +8 more

Assoc. Prof. MÜJDAT SOYTÜRK is an Associate Professor at Marmara University's Faculty of Engineering, Department of Computer Software. He holds a Ph.D. and M.Sc. in Computer Engineering from Istanbul Technical University (2007 and 2002). His expertise lies in V2X Communications, Connected Cars, Wireless Networks, IoT, and Cyber-Physical Systems, with a focus on communication reliability and data analytics. He leads the VeNIT Lab (founded in 2013) and has secured EU and national grants (e.g., Horizon Europe projects like DECICE and LoLiPoP-IoT). Education: Ph.D. (2007) and M.Sc. (2002) in Computer Engineering from Istanbul Technical University. Research Interests: V2X Networks, IoT Security, UAV-Integrated Systems, Data Routing, and Intelligent Transportation. Notable contributions include vehicular platooning, jamming detection in IoT, and edge-cloud collaboration frameworks. Publications: Over 50 peer-reviewed articles in journals like IEEE Access and Sensors , focusing on network security, V2X protocols, and AI-driven communication systems. Recent work addresses 5G-V2X resource allocation and real-time jamming detection. Awards: Recognized by TÜBİTAK for contributions to RF sensing and automotive cybersecurity validation. Active in editorial roles for journals like Journal of Platform Technology and KSII Transactions . Grants & Labs: Directed 17 projects, including EU-funded initiatives like InSecTT and iRel4.0. VeNIT Lab advances ITS and V2X technologies. Advised 8 master's theses on topics like secure road preemption and UAV mobility patterns. Teaching: Courses on vehicular networks, performance evaluation, and discrete simulation. Engages in industry collaborations, such as the ABHS in-vehicle communication system for Turkey's Ministry of Transport.

Nirmala ShenoyView profile

Professor

• Computer Networking
• Data Center Networks
• Network Protocols
• +4 more

Nirmala Shenoy is a Professor in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). She holds a BE/ME from the University of Madras (India) and a Ph.D. in Computer Science from the University of Bremen (Germany). Her research focuses on simplifying network operations, protocol efficiency, and security in data center networks (DCNs) and mobile ad hoc networks (MANETs). She has pioneered the Meshed Tree Protocol (MTP) for dynamic connectivity challenges and the Expedited Internet Bypass Protocol (EIBP) for scalable routing. Research Interests: Network Protocol Simplification Data Center Architecture MANET Clustering Solutions Non-IP Solutions for Security Energy-Efficient Networks Current Projects include: MR-MTP: A novel protocol for folded-Clos topology DCNs, replacing BGP/ECMP/BFD with auto-configuration and enhanced security. EIBP: A BGP/OSPF replacement protocol demonstrating superior performance in FABRIC testbeds. MTP Security: Non-IP layer 3 protocols mitigating IP-based vulnerabilities in dynamic networks. Teaching includes courses on Wireless Networking, Network Services, and Advanced Routing/Switching. Her work has been funded by NSF and defense organizations. She actively collaborates with industry and academia to advance next-generation network frameworks.

• Blockchain Technology
• Non-Fungible Tokens (NFTs)
• Computer Networks
• +7 more

Shital Joshi is a Teaching Associate Professor in the Department of Computer Science at Oklahoma State University. Her academic career spans roles as a Teaching Assistant Professor (2019–2025) and current position since July 2025. She holds a Ph.D. in Computer Engineering from the University of North Texas (2016). Her research focuses on blockchain technologies, NFT performance modeling, IoT security, energy-efficient networks, and nanoelectronic circuit design. Her work bridges theoretical models with practical implementations, including adaptive blockchain systems, secure telemedicine frameworks, and graphene-based SRAM optimization. Notable contributions include bivariate performance models for NFT chains and energy-efficient routing protocols for wireless sensor networks. She actively participates in academic service, such as the 2023 ABET Symposium. Joshi teaches core computer science courses like Operating Systems, Data Structures, and Computer Systems, emphasizing hands-on learning. Her teaching spans from foundational courses (e.g., Computer Proficiency) to advanced topics (e.g., Memory Management in OS Design).

Xenofon FafoutisView profile

Professor

• Internet of Things (IoT)
• Wireless Sensor Networks
• Digital Health
• +5 more

Xenofon Fafoutis is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on the Internet of Things (IoT), wireless sensor networks, digital health, and embedded systems. He leads several projects including the DIREC Digital Community Building initiative and the eAI: Embedded AI initiative. His work emphasizes energy-efficient communication protocols, security in IoT, and the application of machine learning in edge computing. Key research interests include: IoT and Industrial IoT Wireless embedded systems and protocols Machine learning for edge devices Cybersecurity for sensor networks Wearable health monitoring systems Recent publications highlight his contributions to reinforcement learning-based scheduling, energy-efficient IoT protocols, and TinyML applications. He supervises PhD students in areas like embedded AI toolchains and predictive maintenance systems. His work aligns with UN SDG goals related to sustainable infrastructure and innovation.

Olufemi OdegbileView profile

Assistant Professor

• Network Algorithms
• Data Streaming
• Traffic Measurement
• +2 more

Olufemi Odegbile is an Assistant Professor in Computer Science at Clark University, specializing in network algorithms and distributed systems. His research develops novel solutions for traffic measurement and data streaming in high-speed networks. Recent work focuses on virtual filtering techniques for non-duplicate sampling, super spreader identification, and noise reduction in streaming algorithms. He investigates hierarchical approaches to network monitoring that optimize memory allocation while maintaining measurement accuracy. His publications demonstrate consistent innovation in adapting probabilistic data structures like Bloom filters and CountMin sketches for modern networking challenges. Experimental validations frequently address real-world constraints in edge-cloud computing environments and legacy network infrastructures.

• Mathematical Optimization
• Decomposition Methods
• Machine Learning
• +3 more

Emiliano Traversi is an Associate Professor in the Department of Information Systems, Data Analytics and Operations at ESSEC Business School. He holds a PhD in Operations Research from the University of Bologna and previously served as a Full Professor at LIRMM, University of Montpellier. His research focuses on mathematical optimization, decomposition methods, and machine learning, with recent emphasis on network slicing in UAV-based 5G systems and multi-drone formation strategies. His work bridges theoretical optimization frameworks with practical applications in telecommunications and autonomous systems. Education: PhD in Operations Research, University of Bologna Habilitation à diriger des recherches, Business Administration, Sorbonne Université (2023) Research Interests: Mathematical Optimization (Convex/Non-Convex) Decomposition Algorithms (e.g., Benders, Dantzig-Wolfe) Network Slicing & Resource Allocation for 5G/6G Autonomous Systems & Multi-Agent Coordination Applications in Telecommunications and Transportation Recent Research Trends: His 2025 publications highlight advancements in UAV-enabled 5G network slicing frameworks (EASIER) and mathematical foundations for drone fleet formations. Earlier work extends to optimization methods for transportation systems, quantum computing challenges, and power grid management through semidefinite relaxations. Professional Contributions: 20+ peer-reviewed articles in top journals/conferences (e.g., Computer Networks, AICA) Development of optimization frameworks with real-world applications Labs/Teams: Active collaborations in ESSEC's data analytics initiatives and international projects on UAV communication systems.

Naveen Kumar Dasanadoddi VenkategowdaView profile

Associate Professor

• Wireless Communications
• Internet-of-Things (IoT)
• Privacy and Security
• +4 more

Naveen Kumar Dasanadoddi Venkategowda is an Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Physics, Electronics and Mathematics (FEM) division. His research focuses on wireless communications, IoT, privacy/security in IoT systems, distributed learning, and optimization. He holds a Ph.D. from IIT Kanpur (2016) and a B.E. from Bangalore University (2008). Prior roles include postdoctoral researcher at NTNU (2017-2021) and Research Professor at Korea University (2016-2017). His work emphasizes modular low-power solutions for wireless sensor networks, high-data-rate communication, and antenna design. Recent publications address distributed algorithms, privacy-preserving techniques, and robust optimization in decentralized systems. Notable awards include the TCS Research Fellowship (2011-2015), ERCIM Alain Bensoussan Fellowship (2017), and a Best Paper Award (Fusion 2020). Education: Ph.D. in Electrical Engineering, Indian Institute of Technology Kanpur (2016) B.E. in Electronics and Communication Engineering, Bangalore University (2008) Awards: TCS Research Fellowship (2011-2015) ERCIM Alain Bensoussan Fellowship (2017) Runner-up Best Paper Award at Fusion 2020 His research spans distributed learning frameworks, IoT security, and signal processing for MIMO systems. Collaborations include work on hybrid beamforming, resilient consensus algorithms, and privacy-aware distributed systems.

• Satellite Communications
• Wireless Networks
• Software-Defined Networking
• +3 more

Mohamed Kassem is a Research Fellow at the Computer Science Research Centre , University of Surrey. His work focuses on satellite communications, wireless networks, and spectrum management. He can be contacted at m.kassem@surrey.ac.uk . Research Interests: Kassem's research explores Low-Earth Orbit (LEO) satellite networks , software-defined networking , and TV white space utilization . His projects include simulating mega-constellations, optimizing gateway placements, and advancing backhaul systems. Article Trends: Over the past decade, his publications have addressed challenges in LEO satellite broadband, multi-connectivity in wireless networks, and innovative backhaul solutions. Key themes include network simulation , spectrum aggregation , and cost-effective infrastructure .

Anas AmjadView profile

Senior Lecturer

• Smart Systems
• Digital Signal Processing
• Wireless Sensor Networks
• +4 more

Dr. Anas Amjad is the Course Director for Electrical and Electronic Engineering at Staffordshire University's School of Digital, Technologies and Arts. He holds a Senior Lecturer academic rank. His expertise spans smart systems, digital signal processing, and IoT applications in healthcare, cities, and telecommunications. He previously served as a part-time lecturer (2012–2017) and Senior Lecturer (2017–2020). Dr. Amjad is a Fellow of the Higher Education Academy (FHEA) and actively contributes to IEEE/IET journals as a reviewer. Education: PhD (Electronic and Telecommunication Engineering, Staffordshire University), PGCert in Research Methods, and BEng(Hons) with First Class in Electronic Engineering – all from Staffordshire University. Research focuses on resource optimization in wireless networks, IoT infrastructure, and smart city technologies. His work contributed to Staffordshire University’s REF2021 submission, where 87% of Engineering research was rated internationally excellent/world-leading. Notable contributions include energy-efficient protocols for visual sensor networks and cloud federation resource allocation. Publications span IEEE/IET journals and conferences, addressing topics like sensorless motor control for EVs, cognitive edge computing, and EEG artifact removal via CNNs. He organized UPEC 2015 and participated in postgraduate research conferences. Awards: Fellow of the Higher Education Academy (FHEA). Professional memberships include IET, Energy Institute, and HEA. Teaching includes undergraduate modules like Real-time Embedded Systems with DSP Applications and postgraduate courses such as Advanced Digital Signal Processing. He integrates digital tools for blended learning, including distance education for Armed Forces students.

Carolin BauerView profile

Senior Lecturer

• Computer Networks
• Wireless Communication
• Cellular Communication
• +5 more

Carolin Bauer is a Senior Lecturer in the Department of Computing at Staffordshire University. Her expertise spans Computer Networks, Wireless Communication, and Artificial Intelligence, with a focus on Genetic Algorithms and Neural Networks. She holds a PhD in Cellular Communication (2010) and certifications including Cisco CCNA/CCNP Academy Instructor and AWS Academy roles. Education: 1999: Diplom der Technischen Informatik (FH)/BSc, HTWG Konstanz, Germany 2001: MSc by Research in Distributed Systems, Staffordshire University 2010: PhD in Cellular Communication, Staffordshire University Research focuses on evolving network communication technologies, including Cloud Technology and IoT, aiming to enhance real-world applications. Her work bridges theoretical advancements with practical implementation in education and industry. Publications highlight contributions to neural network optimization, cellular handover prediction, and genetic algorithm applications. Awards include the 2013 Fellowship of the Higher Education Academy (FHEA). Teaching spans undergraduate to postgraduate levels, emphasizing Cisco Networking and AWS Cloud Computing. She actively engages in professional development initiatives to integrate cutting-edge technologies into curricula.

Farideh Doost MohammadiView profile

Associate Professor

• Control Systems
• Power System Dynamic Modeling
• Microgrids
• +5 more

Farideh Doost Mohammadi is an Associate Professor in the School of Engineering and Computing at Christopher Newport University. Her academic journey includes a Ph.D. in Electrical Engineering from West Virginia University (2017), an M.Sc. with First Honors from Amirkabir University of Technology (2012), and a B.Sc. from Iran University of Science and Technology (2010). Ph.D., Electrical Engineering - West Virginia University (2017) M.Sc., Electrical Engineering - Amirkabir University of Technology (2012) B.Sc., Electrical Engineering - Iran University of Science and Technology (2010) Her research focuses on control systems , power system dynamic modeling , microgrid and smart grid technologies , and renewable energy integration . Recent work explores: Cybersecurity impacts on microgrid stability Vehicle-to-Grid (V2G) systems for peak shaving Multi-agent control architectures Optimized communication networks for voltage control Renewable energy coordination in hybrid systems Publications reveal trends in distributed control systems, with 62% focusing on microgrid stability and 45% addressing cybersecurity challenges. She actively explores data-driven control approaches and adaptive algorithms for grid resilience. Professor Mohammadi teaches courses in control systems, industrial control, and circuits, contributing to power systems education with practical industry experience.