Find Academic Supervisors

Bernd-Peter ParisView profile

Associate Professor

• Communication Systems
• Wireless Networks
• Information Theory
• +3 more

Bernd-Peter Paris is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University, where he has served since 1987. He leads the MS in Telecommunications program and holds affiliations with the IEEE and Eta Kappa Nu. Dr. Paris specializes in communication systems, wireless networks, and information theory, with a focus on signal processing and adaptive techniques. He earned his PhD in Electrical Engineering from Rice University (1990) and a Diplom-Ingenieur from Ruhr-University Bochum (1986). His research explores mobile wireless networks, synthetic diversity, and interference mitigation, supported by awards like the NSF Research Initiation Award (1993-1996) and a Fulbright Scholarship (1986). Education: PhD, Electrical & Computer Engineering, Rice University (1990) Diplom-Ingenieur, Electrical Engineering, Ruhr-University Bochum (1986) Research Interests: Communication systems, wireless networks, information theory, adaptive signal processing, and interference mitigation. His work emphasizes practical applications in telecommunications, such as synthetic diversity techniques and efficient receiver design. Awards: Fulbright Scholarship (1986) NSF Research Initiation Award (1993-1996) Teaching & Advising: Courses like ECE 630 (Statistical Communication Theory) reflect his expertise. He collaborates on grants focusing on spectrum sharing, adaptive interference rejection, and collaborative systems. His publications span signal processing algorithms, receiver design, and network optimization. Labs/Teams: Involved in interdisciplinary projects on wireless communication systems and IP geolocation, leveraging MATLAB and factor graph techniques for large-scale analysis.

Catalina Guerrero RomeraView profile

Associate Professor

• Educational Technology
• Disability Studies
• Historical Pedagogy
• +7 more

Catalina Guerrero Romera is an Associate Professor in the Department of Theory and History of Education at the University of Murcia's Faculty of Education. Her academic work focuses on educational innovation, disability studies, and historical pedagogy. She holds a PhD from the University of Murcia (2001) with a thesis on vocational training for individuals with mental disabilities. Her research groups include Didactics of Social Sciences , Logos: Religion, Science, Thought and Christian Culture , and Tecnomod: Modeling, Processing and Knowledge Management Technologies . Key interests span digital literacy for marginalized groups, art-based therapy for dementia patients, and intergenerational educational programs. Recent publications emphasize digital skill development for migrant women, historical thinking in secondary education, and geolocation tools in social sciences education. She has developed assessment tools like the ACOMDIG questionnaire and contributed to projects such as the e-IRIS program for digital citizenship training. Her work bridges theoretical research with practical applications, addressing issues like inclusive education, aging populations, and teacher professional development. She collaborates with institutions to design curricula integrating technology and historical methodologies.

• Forensic Science
• Analytical Chemistry
• Metabolic Profiling
• +3 more

Dr. David Thompson is a Senior Lecturer in Forensic and Analytical Chemistry at Keele University, serving as the MSc Forensic Science Programme Director and FS Marketing and Open Day lead. He holds a PhD in analytical chemistry from Keele University (collaborative with AstraZeneca) and a first degree in Chemistry and Forensic Science from Keele University (2007). His research focuses on forensic applications of metabolic profiling, particularly in determining post-mortem intervals and buried remains. He has pioneered analytical techniques such as ICP-MS for biomarker detection in cancer and metabonomics for environmental remediation. His work spans environmental toxicology, water treatment nanomaterials, and forensic geolocation using isotopes. Teaching responsibilities include modules like Forensic Science Principles and Forensic Dissertation . Over 15 articles highlight his contributions to analytical chemistry, forensic science, and environmental remediation. No scientific awards are listed, but his work has been published in high-impact journals such as Environmental Nanotechnology and Journal of Forensic Sciences . He advises MSc and MSci research projects and contributes to interdisciplinary collaborations in forensic and environmental chemistry. His lab and team focus on advancing analytical methods with practical applications in both academic and industrial contexts.

Kristen GormanView profile

Assistant Professor

• Integrative Ecology
• Evolutionary and Behavioral Ecology
• Marine Fish and Bird Populations
• +3 more

Kristen Gorman is an Assistant Professor of Marine Biology at the University of Alaska Fairbanks, affiliated with the College of Fisheries and Ocean Sciences (CFOS). She holds a Ph.D. in Biological Sciences from Simon Fraser University (2015), an M.S. from the same institution (2005), and a B.S. in Biology from Dickinson College (1996). Her research integrates ecology, evolution, and physiology to study animal behavior, fitness, and population dynamics in marine systems critical to fisheries and subsistence harvests. Her research focuses on high-latitude ecosystems, including studies on salmon population dynamics, sea otter distribution modeling, and the impacts of climate change on marine food webs. Current projects include evaluating Copper River sockeye salmon mortality, Arctic pink salmon expansion, and otolith geochemistry analysis. She leads the Gorman Lab, established in 2022, which emphasizes quantitative methods and science communication. Recent publications highlight work on hatchery salmon strays, glacial watershed effects on fish diets, and seabird habitat selection. Her lab collaborates with organizations like the Aleut Community of St. Paul Island and the Prince William Sound Science Center, funded by grants from NOAA, NSF, and the Exxon Valdez Oil Spill Trustee Council. She advises four graduate students and mentors undergraduates in fisheries and seabird ecology. Professional activities include teaching, grant writing, and public outreach. Her lab maintains active field programs in Prince William Sound and the Bering Sea, with ongoing projects analyzing salmon-herring interactions and seabird tracking in the Pribilof Islands. She prioritizes equity in science and acknowledges Alaska’s Indigenous communities' long-standing ecological knowledge.

Xavier FernandoView profile

Professor

• Optical Communication
• Wireless Communication Systems
• Signal Processing
• +4 more

Xavier Fernando is a Professor and Director of the TMU Intelligent Communication and Computing Laboratory at Toronto Metropolitan University's Department of Electrical and Computer Engineering. His academic career includes leadership roles such as Chair of IEEE Canada Humanitarian Initiatives (2017-18), General Chair of IEEE International Humanitarian Technology Conference (2017), and Board Member of Ryerson University (2011-12). He has authored over 200 research papers, three books, and holds multiple patents, with research focused on optical/wireless communication systems, cognitive radio, and vehicular visible light communications. Research interests span signal processing for underground communications, MAC layer protocols, and energy-efficient networks. Notable awards include IEEE Communications Society Distinguished Lecturer (2012-2013), Engineering Excellence Award (2016), and finalist for Top 25 Canadian Immigrants (2012). His lab, established since 2008, has secured $3.185 million in funding. Contributions include pioneering work in RF energy harvesting, smart grid technologies, and underground communication systems for mining safety. Professional service includes roles as IEEE Toronto Section Chair, member of IEEE Education Board, and evaluator for ABET. Key publications address heterogeneous networks, cognitive radio performance, and VLC vehicular applications. Students and alumni are tracked via LinkedIn groups, with notable projects winning IEEE MTT prizes and engineering accolades.

Xinrong LiView profile

Professor

• Wireless Communications
• Sensor Networks
• Signal Processing
• +7 more

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.

Manuela FarinosiView profile

Associate Professor

• Digital Media Sociology
• Communicative Processes
• Participatory Culture
• +2 more

Manuela Farinosi is Associate Professor in Sociology of Cultural and Communicative Processes at DMIF, University of Udine, and Director of NuMe Research Laboratory on New Media. Her research examines the social and cultural implications of digital media, communicative processes, and participatory practices across mediated and non-mediated contexts. Research interests focus on digital sociology, including internet studies, social media platforms, and the sociocultural dimensions of technology adoption. Recent work explores AI perceptions, influencer activism, digital inclusion, and pandemic impacts on social systems. Publications demonstrate consistent focus on technology-society interfaces, with recent articles examining generative AI in education, disability advocacy through social media, and community responses to emergencies. Research employs diverse methodologies including cluster analysis, action research, and cross-cultural studies. Current work addresses ethical AI implementation, digital activism, and participatory communication frameworks in crisis situations.

• Wireless Networks
• Mobile Computing
• Smart Grid Systems
• +4 more

Vincent Gauthier is a Professor at Telecom Paris, part of Institut Polytechnique de Paris, with a distinguished research career spanning over two decades in mobile network analysis, urban mobility modeling, and smart infrastructure systems. His research portfolio demonstrates deep expertise in leveraging mobile network metadata for urban population estimation, transportation optimization, and smart grid applications. Dr. Gauthier's research interests center on wireless networks, mobile computing, smart grid systems, urban mobility analysis, and electric vehicle infrastructure. His work bridges theoretical network modeling with practical urban applications, particularly evident in his studies of mobility patterns in Paris and Peru. His research methodology combines mobile network metadata analysis with advanced computational techniques to address urban infrastructure challenges. His recent publication trends show a strategic pivot toward sustainable transportation solutions, with multiple 2024-2025 publications focusing on electric vehicle charging infrastructure optimization. Earlier work established foundational contributions to understanding urban dynamics through mobile network data, with significant publications on population estimation and transport mode detection. His research consistently demonstrates interdisciplinary approaches, connecting telecommunications engineering with urban planning and environmental sustainability. Dr. Gauthier has maintained long-term collaborations with researchers including Monique Becker, Michel Marot, and Hassine Moungla, with whom he has co-authored numerous publications over multiple years. His work shows particular strength in applications to Peru and other LMIC countries, reflecting a commitment to globally relevant research. His research methodology combines theoretical network modeling with practical urban applications, particularly evident in his studies of mobility patterns in Paris and Peru. His work bridges telecommunications engineering with urban planning and environmental sustainability, creating impactful solutions for modern cities.

Mohsen SarrafView profile

Senior Lecturer

• Wireless Communications
• Signal Processing
• Network Security
• +2 more

Mohsen Sarraf is a Senior Lecturer and Visiting Assistant Professor in Electrical Engineering at the Tagliatela College of Engineering, University of New Haven. He holds a Ph.D. in Electrical Engineering from the University of Southern California, specializing in Computer Networks and Communications, along with M.S. and B.S. degrees from the same institution. His research focuses on wireless communications, signal processing, network security, multimedia systems, and embedded technologies. With extensive industry experience at Bell Labs and Telcordia, Sarraf possesses deep expertise in real-time system design, RF planning, and hardware implementation. Sarraf holds 22 US patents and 3 European patents covering innovations in OFDM transmission, error correction, watermarking, and wireless systems. His publications demonstrate consistent focus on optimizing network performance in wireless sensor networks, with recent work emphasizing collision detection algorithms, power efficiency, and IoT applications. He co-authored 'W-CDMA, cdma2000 and 3G Mobile Networks' (McGraw Hill, 2002), which was translated into Chinese. Professional skills include MATLAB simulation, C/C++ programming, RF planning, and project management.

• Pervasive Computing
• Internet of Things (IoT)
• Semantic Web
• +5 more

Dr. Diego López-de-Ipiña is a Full Professor and Principal Researcher at the DEUSTEK/MORElab – ICT for Good group (University of Deusto, Spain). His roles include leading the Faculty of Engineering’s PhD program (2013–2018) and teaching modules in software engineering, web development, and internet technologies. His research focuses on pervasive computing, IoT, semantic middleware, smart cities, and sustainable computing, emphasizing ICT’s role in addressing societal challenges. He has supervised 17 PhD theses and directed over 100 final-year projects. Education: PhD in Computer Science from the University of Cambridge (2002). Research Interests: Pervasive computing and IoT for smart communities Knowledge graphs and semantic web technologies Human-AI collaboration and ethical computing Sustainable computing and environmental citizen science Projects: Principal investigator in EU projects like SOCIO-BEE, AURORAL, and CITY4AGE, focusing on smart cities, citizen engagement, and environmental sustainability. He has led over 20 research projects, blending IoT, blockchain, and AI for real-world applications. Awards: ATLAS Elsevier Research Prize (social impact of scientific papers) Corresponding Member of JAKIUNDE – Basque Science and Arts Academy Advising & Grants: Supervisor of 17 PhD students and mentor for over 100 theses. Secured funding through European and Spanish grants, emphasizing collaborative, community-driven research. Labs & Teams: Founder of DEUSTEK/MORElab, a hub for ICT innovations in sustainability, smart environments, and human-centric technologies.

Didem ÖzkulView profile

Assistant Professor

• Mobile Communication
• Digital Privacy
• Algorithms
• +6 more

Didem Özkul is an Assistant Professor in the Department of Communication and Design (COMD) at Bilkent University, Ankara, Turkey. She holds a Ph.D. from the Communication and Media Research Institute at the University of Westminster, London. Previously, she held academic positions at institutions including University College London (UCL), the University of the Arts London, and the London School of Economics (LSE). Her research focuses on emerging technologies, particularly mobile and locative media, geolocation systems, big data, algorithms, and their societal implications. She is affiliated with the Alan Turing Institute and contributes to UK Government Science and Innovation Network robotics/AI collaborations. Education : Ph.D., Communication and Media Research Institute, University of Westminster, 2014 M.A., Communication and Design, Bilkent University, 2007 B.Sc., Business Administration and Management, Bilkent University, 2004 Research & Projects : She is writing a monograph, The Politics of Location Tracking and Profiling (Routledge), and editing a Journal of Computer-Mediated Communication special issue on sensor-mediated communication. Her work addresses ethical and societal challenges of data practices and automation. Collaborations : Editorial board member of Mobile Media & Communication and Online Media and Global Communication . Policy advisor to the Alan Turing Institute’s responses on data ethics and algorithmic bias. Personal : Enjoys cycling, hiking, and spending time with her pets.

• Geodesy
• GPS Technology
• Atmospheric Science
• +3 more

Anna Jensen is a Professor of Geodesy at KTH Royal Institute of Technology, specializing in atmospheric effects on Global Navigation Satellite Systems (GNSS). Her research focuses on modeling ionospheric and tropospheric influences on GPS signals, particularly how weather parameters and electric currents impact signal transmission. Applications of her work include precision surveying, aviation navigation, and construction site monitoring. She has contributed to projects such as the Fehmarnbelt Fixed Link positioning system and Arctic navigation challenges. Her research interests span geodesy, satellite navigation, and remote sensing, with a strong emphasis on improving GNSS accuracy in challenging environments like urban areas and polar regions. Jensen’s studies address issues like ionospheric scintillation, RFI geolocation with smartphones, and robust positioning in jamming conditions. Jensen has published extensively on topics including network RTK data screening, GNSS network optimization, and ionospheric modeling. Her work often integrates statistical methods and geostatistical techniques to enhance positioning reliability. No scientific awards or grants are explicitly mentioned in the provided texts. She has advised no formal students, though her involvement in the Fehmarnbelt project and other large-scale infrastructure initiatives highlights her role in applied geodetic engineering. No specific labs or teams are detailed, but her collaborations likely involve KTH’s geomatics and geophysics groups.

Morris B CohenView profile

Professor

• Low Frequency Radio
• Electromagnetics
• Atmospheric Electricity
• +5 more

Morris B Cohen is a Professor in the School of Electrical and Computer Engineering at Georgia Tech. He holds a B.S. and Ph.D. in Electrical Engineering from Stanford University (2003, 2010) and served as a research scientist until 2013. His roles include AAAS Science and Technology Policy Fellow at NSF (2012-2013) and Associate Editor of Radio Science since 2013. Research focuses on Earth's natural electricity, including lightning, upper atmosphere dynamics, and space environment interactions. Techniques include low-frequency radio wave analysis and novel antenna designs. Key areas are lightning geolocation, ionospheric remote sensing via VLF signals, and machine learning applications for ionospheric modeling. Distinctions: NSF CAREER Award (2017) ONR Young Investigator Award (2015) Santimay Basu Prize (2014, URSI) CTL/BP Teaching Excellence Award (2018) Grants & Projects: ALOFT airborne campaign studying thunderstorm gamma rays Development of low-frequency radio instrumentation Machine learning for ionospheric electron density prediction Labs/Teams: Low Frequency Radio Group at Georgia Tech AGU Atmospheric and Space Electricity Focus Group Executive Committee Teaching: Employs flipped classroom models in courses to enhance student engagement.

Frederic MaireView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +3 more

Dr. Frederic Maire is a Senior Lecturer at the QUT Centre for Robotics, Queensland University of Technology. His research focuses on robotics, computer vision, and machine learning, with applications in environmental monitoring, autonomous systems, and driver safety. He holds a PhD from Université de Paris VI and has been at QUT since 1995. Key projects include the Dugong Detector for seagrass health monitoring, textile recycling robotics, and rail safety systems. Expertise spans soft robotics, environmental robotics, and AI-driven solutions for complex real-world challenges. Research interests include underwater imagery segmentation, UAV navigation, and multimodal driver stress detection. He has supervised numerous PhD and Master’s students on topics like autonomous decision-making and vision-based robotics. Publications span over 118 articles in top venues like IEEE/CVF WACV and IROS, focusing on robotics, computer vision, and environmental applications.

• Cyber-Physical Systems
• Biological Systems
• Control Systems
• +6 more

Radu Grosu is a Full Professor and Head of the Cyber-Physical Systems Research Unit at TU Wien. His research focuses on modeling, analysis, and control of cyber-physical and biological systems, with applications in robotics, autonomous systems, medical imaging, and formal verification. He leads the Scuderia Segfault team for autonomous F1TENTH racing and has extensive collaborations with industry partners like TTTech Auto AG and FFG. His work integrates machine learning, control theory, and formal methods to address challenges in safety-critical systems and autonomous decision-making. Roles: Full Professor, Head of Research Unit, Faculty Council Substitute Member Affiliations: TU Wien, Scuderia Segfault, Austrian Science Fund (FWF) projects Research interests span cyber-physical systems (CPS), cardiac-cell networks, genetic regulatory networks, and AI-driven solutions for healthcare and manufacturing. He has pioneered methods in neural circuit policies, flocking control, and real-time reinforcement learning. His projects include EdgeAI for embedded systems, radiation treatment optimization in glioblastoma, and autonomous vehicle testing frameworks. Key contributions include: Developing Lagrangian reachability analysis for safety verification Advancing neuromorphic IoT architectures and sensor networks Creating tools like DeepSTL for translating requirements into specifications Grants include FFG-funded projects on autonomous driving examiners and energy-efficient neuromorphic systems. His work bridges theoretical foundations with practical implementations in CPS resilience, medical diagnostics, and industrial automation.