Dr. Liqiang Zhang is a Professor at the Department of Computer and Information Sciences, Indiana University South Bend. He holds a Ph.D. in Computer Science from Wayne State University (2005). His research focuses on wireless networks, mobile computing, resource allocation, IoT, cognitive radio networks, and network security. His work is supported by IU and the National Science Foundation. He has organized multiple conferences including ICCCN 2013 (Track Chair), GLOBECOM 2010 (Publicity Co-Chair), and founded/co-chaired WiMAN workshops. He serves as a Guest Editor for journals like ACM Transactions on Autonomous and Adaptive Systems and Elsevier's Computer Communications. He reviews for top journals including IEEE Transactions on Mobile Computing and IEEE Transactions on Parallel and Distributed Systems. Dr. Zhang teaches courses such as Computer Structures, Mobile App Development, and Network Security. Recent publications (2019-2009) include advancements in network scheduling, cognitive radio protocols, radar positioning, and digital design education. His research spans both theoretical and applied aspects of networking and distributed systems.
Dr. Sherif Moussa is a Professor and Dean at the Faculty of Engineering, Applied Science and Technology, Canadian University Dubai. He holds a PhD in Electrical and Computer Engineering from the University of Quebec and an MSc from the University of Waterloo, both in Canada. Before joining CUD in 2007, he served as a lecturer at Centennial College in Toronto. His research focuses on: Wireless Communication Computer Networks Machine Learning Digital Circuit Design His recent publications explore machine learning applications in cybersecurity, MIMO-OFDM systems, FPGA implementations, and routing protocols, reflecting a consistent emphasis on optimizing wireless and network technologies. Trends show increasing work in AI-driven solutions and intrusion detection since 2018. He received the 2015 CUD Research Excellence Award and founded the university's first robotics club. He actively contributes as a reviewer and technical committee member for international conferences.
Anantha P. Chandrakasan is MIT's Provost and Vannevar Bush Professor of Electrical Engineering and Computer Science. He leads strategic initiatives such as the MIT Climate and Sustainability Consortium, MIT AI Hardware Program, and MIT-IBM Watson AI Lab. As Chief Innovation and Strategy Officer, he oversees MIT HEALS, MGAIC, and MITHIC. Previously, he served as MIT School of Engineering Dean (2011-2025) and director of MIT Microsystems Technology Laboratories (2006-2011). He earned all degrees (B.S., M.S., Ph.D.) in EECS from UC Berkeley (1989-1994). His research focuses on energy-efficient circuits, low-power wireless sensors, and emerging technologies. Key projects include implantable medical devices, secure AI hardware, and THz communication systems. He pioneered the Schwarzman College of Computing, reshaping MIT’s academic structure. Recipient of the 2022 IEEE Mildred Dresselhaus Medal, he holds leadership roles in multiple MIT-industry partnerships. Notable collaborations include Ericsson (5G networks), Takeda (healthcare), and Accenture (industry-technology convergence). His academic advising includes fostering interdisciplinary programs like the MIT Quest for Intelligence and postdoctoral fellowships. He champions diversity through initiatives like the Faculty Gender Equity Committee and Daniel J. Riccio Graduate Engineering Leadership Program. Labs/Teams: Leads MIT's Office of Innovation & Strategy, oversees Microsystems Technology Laboratories, and co-chairs the MIT-GE Vernova Energy & Climate Alliance. Key hardware projects include conformable ultrasound patches and battery-free IoT devices.
Athanasios G. Kanatas is a Professor at the Department of Digital Systems, University of Piraeus, Greece, and Director of the Telecommunication Systems Laboratory. He holds a Ph.D. in Mobile Satellite Communications from NTUA (1997), and has held roles such as Dean of the School of Information & Communication Technologies (2013–2017) and IEEE Communications Society Chairperson (1999). Education: Diploma in Electrical Engineering (NTUA, 1991), M.Sc. in Satellite Communication Engineering (University of Surrey, 1992), Ph.D. in Mobile Satellite Communications (NTUA, 1997). Research focuses on V2X communications, UAV-assisted networks, antenna design, stochastic geometry, and cybersecurity. He has published over 200 papers and authored 6 books, and leads projects in 5G/6G systems and integrated sensing-communication networks. His work includes pioneering contributions to aerial relay placement, fluid antenna systems, and hybrid beamforming techniques. He serves as Editor of IEEE Transactions on Wireless Communications, Associate Editor of IEEE Transactions on Antennas and Propagation, and is a Senior IEEE Member since 2002. Recent activities include extending the deadline for M.Sc. program applications and promoting internships for students. Labs/Teams: Directs the Telecommunication Systems Laboratory, collaborating on projects like ARGOS RFI monitoring and UAV corridor-assisted IoT networks. His research emphasizes practical implementation through prototyping and experimentation, with applications in aerospace, IoT, and intelligent transport systems.
Nuno Manuel Branco Souto is an Associate Professor (with Habilitation) at the Department of Information Science and Technology, School of Technologies and Architecture, ISCTE - University Institute of Lisbon. He also holds leadership roles as Deputy Director of both the School of Technologies and Architecture and the Institute of Telecommunications - IUL, where he is an Integrated Researcher in the Radio Systems Group. Aggregation in Information Sciences and Technologies, ISCTE-University Institute of Lisbon, 2021 PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL, 2006 Bachelor's degree in Aerospace Engineering, Higher Technical Institute - UTL, 2000 His research focuses on signal processing for communications , MIMO systems , channel estimation , reconfigurable intelligent surfaces (RIS) , and optimization in wireless communications . He explores advanced techniques in hybrid precoding , index modulation , and energy-efficient 5G/6G network design , contributing significantly to next-generation wireless technologies. His recent publications (2020–2024) reveal a strong trend toward reconfigurable intelligent surfaces (RIS) , millimeter-wave and THz communications , molecular communication with deep learning , and anti-UAV systems using SDR-based jamming and spoofing . These works appear in high-impact journals such as IEEE Transactions, Sensors, and Applied Sciences, reflecting his leadership in cutting-edge wireless communication research. Dr. Souto has no scientific awards explicitly listed in the provided text. He has been actively involved in teaching, research supervision, and academic leadership. His collaborations span multiple institutions and include prominent researchers such as Pavia, Velez, Correia, Sebastião, and Dinis. He contributes to both theoretical advancements and practical implementations in wireless systems, including software-defined radio (SDR) applications for UAV security and scalable video broadcasting in cellular networks. Dr. Souto is affiliated with the Radio Systems Group at the Institute of Telecommunications - IUL, where his team conducts research on next-generation wireless networks, signal processing algorithms, and communication system optimization.
John A. McNeill is the Bernard M. Gordon Dean of Engineering at Worcester Polytechnic Institute (WPI), where he has been since 1994. He holds a PhD in Electrical, Computer, and Systems Engineering from Boston University and has maintained strong industry ties through initiatives like the New England Center for Analog and Mixed Signal Design. His research focuses on mixed-signal integrated circuits, biomedical sensors, and low-power systems, including a wearable wireless sensor for pressure ulcer prevention. He has advised numerous graduate and undergraduate students on projects involving analog and digital circuit design. McNeill’s academic journey includes a BS from Dartmouth College (1983), MS from the University of Rochester (1991), and PhD from Boston University (1994). He has received prestigious awards like the NSF CAREER Award (1997), WPI’s Chairman’s Exemplary Faculty Prize (2007), and the Eta Kappa Nu Outstanding Professor Award (multiple times). His work has resulted in six patents and over 60 peer-reviewed publications. He leads initiatives to enhance engineering education, emphasizing project-based learning and interdisciplinary collaboration. His professional affiliations include IEEE, the American Society for Engineering Education, and the National Academy of Inventors.
K.C. Chang is a Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. He is the Director of the Sensor Fusion Lab and the coordinator of the Financial Engineering Program at GMU, reflecting his interdisciplinary research focus on data fusion and probabilistic reasoning. Education: PhD, Electrical Engineering, University of Connecticut MS, Electrical Engineering, University of Connecticut BS, Communication Engineering, National Chiao-Tung University Dr. Chang's research centers on distributed data fusion, Bayesian networks, and decision-making under uncertainty, with applications in sensor networks, wireless communications, satellite systems, and financial engineering. His work integrates statistical modeling, machine learning, and systems engineering principles to solve complex, real-world problems involving uncertainty and large-scale information processing. The recent publications reflect a strong trend in applying probabilistic reasoning to dynamic spectrum access, satellite communication, and electronic warfare. His research leverages copula functions and information genealogy to enhance fusion accuracy in non-Gaussian and dependent environments. Applications span defense, aerospace, and finance, demonstrating the versatility of his methodological contributions. Scientific Awards: IEEE Fellow (2010) for contributions to sensor data fusion and Bayesian probabilistic inference Dr. Chang has advised numerous graduate students and led major research initiatives funded by the Office of Naval Research (ONR), National Science Foundation (NSF), Army Research Office (ARO), Air Force Office of Scientific Research (AFOSR), and industry partners like Intelligent Fusion Technology Inc. and Impact Technologies, LLC. His editorial roles include serving as Editor for Tracking/Navigation Systems and Large Scale Systems in IEEE Transactions on Aerospace and Electronic Systems, and as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics. He was also Technical Program Co-Chair of the 2009 International Conference on Information Fusion. He leads the Sensor Fusion Lab at George Mason University, a research group focused on advancing the theory and application of multi-sensor, multi-source information fusion. The lab works on foundational algorithms as well as real-world implementations in defense, communication, and financial systems. The lab collaborates with government agencies and private sector organizations to translate theoretical advances into operational technologies.
Dr. Gareth Conway is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, associated with the Institute of Electronics, Communications & Information Technology (ECIT). His research focuses on wearable and implantable antennas, wireless medical sensors, and electromagnetic propagation for healthcare applications. He holds over 40 publications and five antenna-related patents, with industry collaborations enhancing wearable system performance. Awards include the 2014 Early Career Researcher Impact Prize and the Mobile World Scholar Award (2018). Education: PhD from Queen's University Belfast (2005-2008) Roles: Research & Development Engineer at Wireless Fibre Technologies (2008-2011) Research Fellow at QUB (2011-2013) Senior Lecturer at ECIT (2013-present) Research Interests: Wearable/implantable antennas, human tissue-physics modeling, printable microwave materials, wireless medical sensors, and computational electromagnetism for body-centric networks. His work aligns with UN SDG 3 (Good Health) and SDG 9 (Industry/Innovation). Key Projects: EPSRC grant EP/P000983/1 (implantable antenna repeaters), KTP project with Creagh Concrete (sensor-based concrete production). He organizes conferences like the All-Ireland Workshop on Wearable/Implantable Antennas. Grants/Awards: QUB Vice Chancellor's Early Career Researcher Impact Prize (2014) Mobile World Scholar Award (2018) Award for Sensor-based Digitisation in Concrete Production (2022) Students: Supervised 3 PhD students (e.g., on implantable antennas, frequency-selective surfaces, and wearable identification systems). Labs/Teams: Centre for Wireless Innovation at ECIT, collaborating with industry partners like Sensata Technologies.
Dr Carl Anthony is a Senior Lecturer and Head of Education in the Department of Mechanical Engineering at the University of Birmingham, within the School of Engineering. He has been a key figure in microsystems research and education since joining the university in 2006. Educational Background: BSc (Hons) in Physics with Optoelectronics, University of Surrey, 1993 PhD in Electrical and Electronic Engineering, Newcastle University, 2006 His research focuses on Microsystems Engineering , particularly microsensors, energy harvesting, nonlinear resonators, and bio-MEMS tactile sensors. His work bridges fundamental physics with practical engineering applications, especially in autonomous sensing systems. He has pioneered research in Focused Ion Beam microfabrication and wireless sensor powering solutions. The recent publications highlight a consistent trajectory in MEMS and microfabrication technologies , with increasing emphasis on bio-integrated sensors, energy autonomy, and advanced characterization techniques. His work spans materials, devices, and system-level integration, demonstrating interdisciplinary depth. Scientific Awards: EPSRC First Grant (2010) for developing a battery-less clockwork energy harvester for in-wheel tyre pressure sensors Carl Anthony is actively involved in research funding and supervision. He has secured competitive grants such as the EPSRC award and supervises PhD students in areas including micro energy harvesters, coupled resonators, and micro-vacuum systems. He is a member of the Energy Harvesting Network and collaborates with European consortia on bio-MEMS projects. He leads research in the MicroEngineering Group , where his team investigates dynamic behavior of micro-resonators, fabrication-induced material damage, and novel sensor architectures. The group leverages advanced tools like FIB and SEM for nanoscale engineering and characterization.
Raghav Sampangi is a Senior Instructor in the Faculty of Computer Science at Dalhousie University, where he teaches courses in web development, server-side scripting, and usable security and privacy. He is also a Faculty Associate at the Centre for Learning and Teaching and actively contributes to pedagogical innovation and inclusive academic practices. Education: PhD, Dalhousie University, Canada (2015) M.Tech, University of Mysore, India (2011) B.Engg, VTU, Belgaum, India (2007) Raghav's research focuses on usable security and privacy , context-aware authentication , and innovations in computer science education , particularly compassionate teaching, ungrading, and student support. He is deeply committed to equity, diversity, and inclusion in computing and advocates for mental health and belonging in academia. His recent publications center on security in resource-constrained systems, including IoT, RFID, and wireless body area networks, often using bio-inspired cryptographic techniques. The work demonstrates a strong trend toward lightweight, adaptive, and context-sensitive security solutions. Scientific Awards: The Srini Award for Teaching Excellence (2021, 2018) Best Paper Award at Q2SWinet 2014 Best Paper in General Conference Program at SoftCOM 2014 Dalhousie Impact Leadership Award (2014) Faculty Appreciation Award (2015) Parvathamma Subbaraya Gold Medal (University of Mysore) Raghav advises students through community outreach courses and research projects. He leads multiple educational initiatives, including ungrading research and first-year student support. He is co-lead of the D-LITE Belong Cluster and the Halifax Chapter of Canada Learning Code, and is a Cultural Competence in Computing (3C) Fellow at Duke University. His service includes advocacy with Dragonfly Mental Health and the READI Group, promoting compassionate and inclusive academia. He is actively involved in lab and team-based research on usable security and CS education, collaborating with industry, alumni, and students to revise curricula and develop inclusive learning environments.
Jawad Ahmad is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University . His work is closely associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and the Centre for Distributed Computing, Networking and Security , where he contributes to cutting-edge research in secure and intelligent systems. His research interests are centered on cybersecurity , artificial intelligence , and Internet of Things (IoT) technologies. He focuses on developing advanced intrusion detection systems, privacy-preserving frameworks using federated learning and homomorphic encryption, and secure data transmission mechanisms leveraging chaos-based and quantum-inspired encryption. His interdisciplinary work extends to healthcare, smart agriculture, and environmental monitoring, demonstrating the broad applicability of his research. The analysis of his recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning models like transformers and attention mechanisms for network intrusion detection. He also explores the integration of machine learning with blockchain and distributed ledgers for trusted threat intelligence sharing. His work consistently emphasizes real-world deployment, performance optimization, and resilience against cyber threats in industrial and healthcare settings. Funded Research Projects: Data Sharing in Highly Secure Environments (Innovate UK, £273,181) PhD Studentship on Homomorphic Encryption (6G Health Institute GmbH, £35,082) TrustShare: Privacy-Preserving Threat Intelligence Sharing (Innovate UK, £31,386) Cyber Hunt: Automated Cyberthreat Hunting (Norway Research Council, £37,500) AI Dashboard for COVID-19 Sentiment Analysis (Chief Scientists Office, £135,104) Dr Ahmad actively supervises postgraduate research, currently serving as Director of Studies for Hisham Ali and as second supervisor for other PhD candidates. He is involved in multiple collaborative research teams focusing on cybersecurity, AI, and IoT, often working with Prof Bill Buchanan and other leading researchers in the field. His research is published in high-impact journals such as IEEE Access , Frontiers in Computational Neuroscience , and Sensors , and presented at international conferences.
Dr. Paul Cross is a Senior Lecturer in the Environment and Senior Tutor at the School of Environmental and Natural Sciences, Bangor University, UK. He is actively involved in research, teaching, and public engagement, with a strong focus on environmental science, pollinator conservation, and sustainable agriculture. His work bridges ecology, engineering, and socio-economic modeling, contributing significantly to understanding pollinator health and agricultural sustainability. His research interests include UAV-based tracking of insect pollinators, beekeeping as a tool for poverty alleviation, zoonotic diseases (particularly E. coli O157), bee morphometrics, and socio-economic methodologies for estimating disease and illegal behaviors. He employs advanced technologies such as radar, machine learning, and UAVs to study pollinator behavior and environmental impacts. His recent publications highlight a strong trend in integrating engineering and ecological sciences, particularly through the development of energy-harvesting bee tracking devices and radar-based monitoring systems. His work spans disciplines from entomology and soil science to public health and climate change, reflecting a highly interdisciplinary approach to environmental challenges. Senior Lecturer in the Environment, Bangor University Senior Tutor Course Director for MSc Conservation and Land Management Member of SENRGy Teaching and Ethics Committees Dr. Cross has supervised multiple PhD students on topics ranging from beekeeping in Tanzania to UAV-based bee tracking and neonicotinoid impacts. He has led or contributed to numerous research projects funded by the Welsh Government, RCUK, and the British Academy, focusing on pesticide hazards, greenhouse gas emissions, and food safety. He is actively involved in public outreach, with media appearances on BBC Countryfile and contributions to The Conversation. His work contributes to UN Sustainable Development Goals related to poverty reduction, climate action, and life on land.
Furat Al-Obaidy is a Lecturer in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His expertise spans machine learning, intelligent systems, VLSI circuits, multi-core systems, FPGA architecture, and deep learning applications. PhD in Electrical & Computer Engineering from Ryerson University (2021) MSc in Electrical & Computer Engineering from Ryerson University (2016) MSc in Control & Instrumentation Engineering from University of Technology, Baghdad (1999) BSc in Control & Systems Engineering from University of Technology, Baghdad (1996) His research focuses on power-aware computing systems, thermal imaging for IC testing, hybrid cache architectures, and AI-driven network optimization. He has published extensively on topics including GPGPU power management, 3D NoC routing, and wireless sensor networks. His recent publications highlight applications of neural networks in cache optimization, FPGA architecture, and thermal imaging for hardware diagnostics. Earlier work includes control system simulations for wind turbines and power factor analysis in electrical circuits. Ryerson Graduate Development Award (2021) Ontario Graduate Scholarship Award (OGS) (2020) Ryerson Graduate Fellowship (2018) Graduate Research Excellence Award (2017) Queen Elizabeth II Graduate Scholarship in Science and Technology (2017)
Henning Tangen Søgaard is an Associate Professor at the Department of Mechanical and Production Engineering, part of AU Engineering at Aarhus University. He teaches mathematics, numerical methods, and mathematical statistics to BEng students. His research focuses on robotics in agriculture , dynamic modeling , and precision agriculture . Primary Affiliation: Department of Mechanical and Production Engineering, AU Engineering, Aarhus University Research Expertise: Computer vision, control systems for agricultural robotics, environmental modeling (ammonia emissions, spray drift), and wireless sensor networks. His work includes developing autonomous systems for weed control, GPS-based geo-referencing of crops, and mathematical models for fertilizer-related emissions. Publications span peer-reviewed journals and reports in agricultural engineering , robotics , and environmental science . Scientific awards are not mentioned in the provided text. He has no listed PhD students but has collaborated on multiple projects. For direct contact, his email is hts@mpe.au.dk .
Nancy Varshney is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. She contributes to the College of Electronic Engineering, Telecommunications, and Physics, as well as the College of Mechanical, Aerospace, and Automotive Engineering within the university. Her academic work focuses on telecommunications technologies, particularly in the context of 5G and beyond. Research Interests : Nancy Varshney's research spans key areas such as millimeter-wave (mmWave) communication systems, beamforming strategies, UAV (drone)-assisted networks, and backscatter sensor technologies. Her work addresses critical challenges in optimizing data collection, energy efficiency, and network performance for next-generation wireless systems. Recent Publications : Her recent publications highlight advancements in mmWave beamforming, UAV-aided communication, and resource allocation for 5G+. These studies explore low-complexity algorithms, wideband mmWave systems, and beam squint effects to enhance network performance. The research contributes to the evolution of telecommunications infrastructure and wireless signal processing. Teaching Contributions : She collaborates on courses including 'Software-defined communication systems,' '5G and next-generation mobile computing,' and 'Communication and network systems,' particularly focusing on computer network design and control. Her teaching roles span multiple academic years and programs at Politecnico di Torino.
