Find Academic Supervisors

• Approximate Computing
• Hardware Security
• Computer Architecture
• +2 more

Vishesh Mishra is a Prime Minister's Research Fellow at the Department of Computer Science and Engineering, Indian Institute of Technology Kanpur. He concurrently serves as a Visiting Research Fellow at INRIA Centre, University of Rennes, France, and an External Research Collaborator at CANDLE LAB, IIT Roorkee. His research centers on hardware security vulnerabilities in approximate computing systems, with focus areas including hardware trojan detection in approximate circuits, energy-efficient error-resilient architectures, and side-channel attack mitigation. He develops novel methodologies for securing IoT devices and blockchain implementations through circuit-level innovations and floating-point approximation techniques. Analysis of his 15 most recent publications reveals dominant themes in approximate arithmetic unit design (adders/multipliers), hardware trojan countermeasures, and floating-point resilience. His work bridges theoretical security models with practical VLSI implementations, consistently targeting energy efficiency without compromising critical functionality in error-tolerant applications. Scientific recognition includes: Prime Minister's Research Fellowship (India's premier PhD fellowship) Collège doctoral de Bretagne international mobility grant (€9600 for 6-month INRIA research) His research is supported through competitive fellowships rather than traditional grants, with no student advising roles documented. Current collaborations span IIT Kanpur's C3i Center, IIT Roorkee's CANDLE LAB, and INRIA's Rennes research unit, focusing on cross-institutional hardware security projects.

Shiwen MaoView profile

Professor

• Wireless Networks
• Multimedia Communications
• RF Sensing
• +4 more

Shiwen Mao is a Professor and Earle C. Williams Eminent Scholar Chair at Auburn University's Department of Electrical and Computer Engineering. He serves as Director of the Wireless Engineering Research and Education Center. His education includes a Ph.D. in Electrical Engineering from Polytechnic University, M.S. in Systems Engineering, and dual B.E. degrees in Electronic Engineering and Enterprise Management from Tsinghua University. Research interests span wireless networks, multimedia communications, RF sensing for healthcare IoT, smart grid systems, and machine learning applications. Mao's work focuses on transforming edge intelligence, 6G systems, drone localization, and AI integration for next-generation networks. Recent publications demonstrate strong trends in AI-driven wireless communications, satellite-terrestrial networks, cybersecurity applications of large language models, and generative AI for wireless sensing. Awards and Honors: IEEE Communications Society's Best Paper Award (2021) IEEE Jack Neubauer Memorial Award (2020) Multiple National Science Foundation grants including a $300K award for 6G systems research Best Paper and Best Demo awards from IEEE conferences As Director of the Wireless Engineering Research and Education Center, Mao leads collaborative research involving over 20 faculty members addressing real-world communication challenges. The center develops solutions integrating drone technology, millimeter wave communications, and AI for future wireless systems.

Saim GhafoorView profile

Lecturer

• Terahertz Communications
• Intelligent Radio Communications
• Green Machine Learning
• +7 more

Saim Ghafoor is a Lecturer in the Department of Computing at Atlantic Technological University, Ireland. He holds a PhD in Engineering and Technology from University College Cork (2018), an MEng from Hanyang University (2010), and a BEng in Computer Systems Engineering from Mehran University (2005). His research focuses on advanced wireless communications, including Terahertz networks, green machine learning, and emergency communication systems. He is actively involved in the review process of top-tier journals and conferences. Education: PhD, University College Cork, 2018 MEng, Hanyang University, 2010 BEng, Mehran University, 2005 His work spans Terahertz communications , intelligent radio systems , and 5G/6G network protocols , with contributions to cybersecurity and automation. Notable outputs include a 2023 book on Green Machine Learning Protocols and a 2020 IEEE Communications Surveys review on Terahertz MAC protocols. He leads the WiSAR research group and serves as Associate Editor for Elsevier's Computers & Electrical Engineering . Grants & Labs: Active in the WiSAR (Wireless Sensor Applied Research Gateway) unit at ATU. Collaborates on projects involving THz networks and disaster response systems.

Mario Di FrancescoView profile

Professor

• Wireless Networking
• Mobile and Ubiquitous Computing
• Internet of Things
• +4 more

Mario Di Francesco is a Professor at the Department of Computer Science, Aalto University. He holds the position of Professor in Computing Systems (ComputingSystems) Research Area and leads multiple research projects in networking and IoT. Previously, he was a research associate and adjunct faculty at the University of Texas at Arlington (2012–2014), and completed his PhD in Information Engineering at the University of Pisa under Prof. Giuseppe Anastasi. He also served as a research fellow at Scuola Superiore Sant'Anna in 2009. Research Interests : His work focuses on wireless networking, mobile and ubiquitous computing, and the Internet of Things (IoT). Key areas include edge computing, fog networks, virtual/augmented reality, and AI-driven resource management. His research contributes to UN Sustainable Development Goals related to innovation and infrastructure (SDG 9), sustainable cities (SDG 11), and industry/infrastructure development (SDG 9). Publications : His recent work spans topics like private virtual reality conversations, cloud-based network measurement frameworks (CLAIM), microservice connectivity analysis, and edge-DNN optimization. These publications reflect a trend toward integrating AI with distributed systems for real-time, low-latency applications in IoT and edge computing. Awards : Recipient of the Google Internet of Things Technology Research Award (2016) and MobileHCI Honorable Mention (2020). Grants & Projects : CRUISE (2023–2025): Cross-system architecture for autonomous wireless networks using lifelong machine learning. MeXICO (2020–2024): Mobile cross-reality through immersive computing. ASPECT (2016–2018): Spectrum utilization for mobile video. Labs & Teams : Leads research groups focused on edge computing, IoT systems, and immersive technologies. Collaborates with international partners on projects like fog radio networks and autonomous system design.

• Quantum Information Theory
• Network Information Theory
• Machine Learning Theory
• +3 more

Padakandla Arun is a Professor in the Communication Systems department at EURECOM. His research focuses on quantum information theory, network communication, and coding theory, with recent work on multi-terminal quantum channels and machine learning applications in quantum measurement systems. Affiliation: EURECOM - Communication Systems Academic Rank: Professor Research Interests Prof. Padakandla investigates quantum communication protocols, classical-quantum hybrid systems, and structured code design for multi-user channels. His work bridges information theory with quantum mechanics, emphasizing achievable rate regions and measurement simulation techniques. Scientific Contributions Key trends in his publications include: Quantum MAC and interference channel analysis PAC learning frameworks for POVM hypothesis classes Algebraic structures in network information theory Contact Email: Arun.Padakandla@eurecom.fr

Christian FibichView profile

Researcher

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +9 more

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

Sandra CespedesView profile

Assistant Professor

• Wireless Networks
• Internet of Things (IoT)
• Vehicular Networking
• +6 more

Sandra Cespedes is an Assistant Professor at Concordia University's Department of Computer Science & Software Engineering within the Gina Cody School of Engineering and Computer Science. She previously held roles as an Associate Professor and Head of Research at NIC Chile Research Labs, Universidad de Chile, and maintains an honorary Adjunct Professorship at Universidad Icesi, Colombia. She is also an Associate Researcher at the Advance Center of Electrical and Electronic Engineering (AC3E), Chile. Education: B.Eng. (Telematics Engineering) and Specialization (Management of Information Systems), Universidad Icesi, Colombia (2003, 2007) Ph.D. (Electrical and Computer Engineering), University of Waterloo, Canada (2012) Research Interests: Her research focuses on wireless networks, IoT, vehicular communications, and satellite networking. Key areas include: Design of protocols for constrained IoT devices Vehicular safety systems and cooperative communication Direct-to-satellite IoT (DtS-IoT) architectures Rural connectivity solutions Publications: Her recent work explores satellite IoT protocols, vehicular network optimization, and distributed hypothesis testing. Notable contributions include MAC protocol design for satellite IoT and safety message dissemination in VANETs. Teaching: At Concordia, she teaches undergraduate courses like Data Communications and Computer Networks and Embedded Systems , and graduate courses such as Computer Networks and Protocols . Previously, she taught wireless networking and IoT development at Universidad de Chile.

Michel MAROTView profile

Professor

• Networking
• Wireless Communication
• Performance Evaluation
• +5 more

Professor Michel MAROT is affiliated with Telecom SudParis, where he holds the position of Professor in the NeSS department. His research focuses on networking, wireless communication systems, performance evaluation, smart grids, and machine learning applications in telecommunications. MAROT has contributed to advancements in vehicular networks (VANETs/V2V), IoT architectures (LoRaWAN), and energy-efficient protocols for wireless sensor networks (WSNs). He has led studies on coalition formation in smart grids, reinforcement learning for policy optimization, and network resource management in 6G systems. Key research areas include optimizing network performance through cross-layer design, improving QoS in mobile and vehicular environments, and deploying intelligent reflecting surfaces (IRS) for 6G. His work frequently addresses challenges in mobility management, collision avoidance, and energy efficiency in distributed systems. MAROT has co-authored influential papers in journals like Neurocomputing, IEEE Transactions on Smart Grid, and IEEE Open Journal of the Communications Society. His research group (SAMOVAR/NeSS) develops practical solutions for real-world networks, including cold chain monitoring systems using sensor networks and DNS-based optimizations for SCHC protocols. MAROT’s recent work explores machine learning embedded in LPWAN sensors and mobility-aware resource allocation in LoRaWAN.

• Computer Science
• Networking
• Wireless Communication
• +4 more

Brad Karp is a Professor of Computer Systems and Networks at University College London (UCL) , holding this position since 2005. His career spans multiple institutions and roles, including a Senior Lecturer (2005-2014) and Reader (2007-2014) at UCL, Adjunct Assistant Professor at Carnegie Mellon University , and Senior Staff Researcher at Intel Research Pittsburgh . He earned his PhD in Computer Science from Harvard University (2000) , preceded by an M.Sc. (1995) and B.Sc. (1992) in the same field from Harvard and Yale respectively. Research Interests : Systems security (operating systems, web browsers, application security) Wireless networking (multi-antenna capacity, interference management) Network routing (robustness, low-latency protocols) Distributed systems (DHTs, sensor networks) Scientific Contributions focus on optimizing network performance, enhancing security architectures, and developing practical routing algorithms. His work on gradient compression (2024) and low-latency routing topologies (2018) demonstrates continued relevance in network design. Earlier publications like OpenDHT (2005) and Polygraph (2005) established foundational contributions in distributed systems and security. Awards & Recognition : Royal Society-Wolfson Research Merit Award (2005-2010) Best Paper Award (Usenix 2014) Professional Activities include program committee roles for ACM SIGCOMM (2009, 2011-2017), HotNets (2008-2017), and NSF review panels. He has examined PhD theses at the University of Cambridge (2010) and contributed to the HotNets Steering Committee (2009-2014).

Rahul MouryaView profile

Lecturer

• Machine Learning
• Computer Vision
• Inverse Problems
• +6 more

Rahul Mourya is a Lecturer in Computer Science at the Faculty of Science and Engineering , University of Wolverhampton, UK. He joined in October 2023 and is affiliated with the Digital Innovations and Solution Centre (DISC) , which focuses on fundamental and applied research with societal and economic impact. PhD & MSc in Computer Science (Signal/Image/Vision) from Université Jean Monnet Saint-Etienne, France BEng in Electronics & Telecommunications from University of Pune, India His research develops foundational tools for machine learning, computer vision, inverse problems , and signal/image processing , with applications in autonomous systems, robotics, and sensor networks . Teaching includes computational mathematics, robotics engineering, and deep learning modules. Collaborations span institutions like Heriot-Watt University, Telecom ParisTech, and interdisciplinary projects in underwater acoustics and astronomical imaging. Current research explores measurement-consistent neural networks and optimization algorithms for inverse problems.

Alfa NyandoroView profile

Associate Professor

• Wireless Network Protocols
• Medium Access Control (MAC) Protocols
• Technology for Development
• +3 more

Dr. Alfa Nyandoro is an Associate Professor of Computer Science and IT at Lipscomb University, Nashville, Tennessee, where he recently served as Interim Associate Dean of the College of Computing & Technology and Chair of the Information Technologies Department. With a 22+ year career spanning Zimbabwe, South Africa, Australia, and the United States, he has held roles in academia (University of Johannesburg, Abilene Christian University) and industry (Diamond Insurance, Anglo American Corporation). His research focuses on wireless network protocols, technology for development, and healthcare informatics. Education: Ph.D. in Computer Science (details not specified) 1st Class Honors B.Sc. Computer Science, National University of Science and Technology (Zimbabwe, 1996) NUST Vice-Chancellor’s Book Prize for Computer Science (1996) Research Interests: Medium Access Control (MAC) protocols in wireless networks Applications of technology for socio-economic development Healthcare informatics systems Networking infrastructure optimization Awards: Dean’s Award for Excellence (2019-20) Teacher of the Year (2012-13) UIPRS Scholarship (2001-05) Professional Affiliations: Member of IEEE and ACM. Prior roles include tenure at Abilene Christian University and senior research positions at SIRDC (Zimbabwe) and NICTA/UNSW (Australia).

Anis KoubâaView profile

Professor

• Real-Time Systems
• Quality of Service (QoS)
• Wireless Sensor Networks
• +4 more

Anis Koubâa is a Professor at the Department of Electrical Engineering and Computers, Instituto Superior de Engenharia do Porto (ISEP), part of the Polytechnic Institute of Porto (IPP). He is a core member of the CISTER Research Centre, focusing on real-time systems, quality of service, wireless sensor networks, and cyber-physical systems. He holds a PhD in Computer Science from the National Polytechnic Institute (INPL, France), a Master’s from University of Nancy I, and a Telecommunications Engineering degree from Sup’Com Tunisia. His postdoctoral research at CISTER (2005–present) concentrated on real-time aspects of wireless sensor networks. Research interests span cooperative autonomous driving, drone networks, edge computing, and secure communication protocols. He has published extensively on topics like vehicular platooning, real-time QoS monitoring, and cloud-edge architectures for AI applications. His work integrates robotics (ROS frameworks), network protocols (IEEE 802.15.4e), and safety-critical systems. Over 100 papers in journals/conferences and co-authored books on ROS and cyber-physical systems demonstrate his leadership in these areas. Current projects include COPADRIVe (cooperative driving simulation), COPA-Drive (platooning validation), and secure architectures for autonomous systems. He leads the RIOTU-Lab for IoT and robotics research, emphasizing practical applications in disaster management, UAV coordination, and smart city infrastructure.

• Machine Learning
• Computer Science
• Recommender Systems
• +4 more

Xiangyang Li is a Professor at the University of Science and Technology of China, School of Computer Science and Technology. His work spans interdisciplinary domains including computer science, machine learning, and geoscience. Research Focus: Machine Learning, Recommender Systems, Blockchain, and Computer Vision. Key Contributions: Development of novel algorithms for UWB positioning, code information retrieval benchmarks, and vision-language models. Recent publications highlight trends in large language model (LLM) integration for recommendation systems, quantum-inspired optimization, and cross-chain consensus models. His 2025 work includes collaborations on semantic-driven inference, prompt tuning, and hybrid BFT consensus for blockchain scalability.

David GraceView profile

Professor

• Intelligent Networks
• Cognitive Radio
• Wireless Architecture Design
• +6 more

Professor David Grace is a Research Professor at the University of York, leading the Communication Technologies Research Group and co-directing the York-Zhejiang Lab for Cognitive Radio and Green Communications. He holds additional roles as Head of the Communication Technologies Discovery Theme, Director of the Centre for High Altitude Platform Applications, and pillar lead for Advanced Communications at the Institute for Safe Autonomy. His expertise spans intelligent networks, cognitive radio, and non-terrestrial systems like High Altitude Platforms (HAPs). Grace has authored over 280 publications and two books, and led major projects including the FP6 CAPANINA initiative and EPSRC HiQ quantum communications research. Education: MEng (First Class) and DPhil from the University of York, with BT-sponsored placements. His research focuses on 6G architectures, AI-driven radio resource management, and green communications. Key projects include developing quantum key distribution via HAPs (HiQ project) and 5G trials in rural areas (MANY project). Research Interests: Application of AI to wireless networks, 6G system design, dynamic spectrum access, aerial platform-based communications, and cognitive networks. His work emphasizes energy-efficient solutions and regulatory policy for emerging technologies. Awards include WUN CogCom Best Paper Awards (2012-2013) and recognition for contributions to green communications. He has supervised over 40 PhD/MSc students and actively participates in international conferences as a speaker, reviewer, and organizer. External roles include Guest Professor at Zhejiang University and leadership in IEEE technical committees. Grants and collaborations include EPSRC funding (HiQ, Radio Networks ITwins), EU H2020 projects (SPOTLIGHT), and industry partnerships with Huawei. His lab activities focus on aerial platform networks, cell-free MIMO systems, and 5G/6G testbed development.