Find Academic Supervisors

Nathalie Pignard-CheynelView profile

Professor

• Digital Journalism
• Social Media Communication
• Audience Engagement
• +3 more

Nathalie Pignard-Cheynel is a Full Professor of Journalism and Digital Communication at the University of Neuchâtel since 2020, where she leads cutting-edge research on digital transformations in journalism. Previously, she held academic positions at the University of Neuchâtel (Assistant Professor, 2016-2020), University of Lorraine (2013-2016), and Grenoble 3 University (2005-2013), where she earned her doctorate in Information and Communication Sciences (2004). Doctorate in Information and Communication Sciences, University of Grenoble 3 (2004) Full Professor of Journalism and Digital Communication, University of Neuchâtel (2020-present) Assistant Professor in Digital Journalism, University of Neuchâtel (2016-2020) Lecturer in Information and Communication Sciences, Grenoble 3 University (2005-2013) Her research focuses on: Mutations in journalistic practices during digital transformations Social media usage by journalists, media, and audiences Participatory journalism and media-audience relationships Journalism and data practices Disinformation content dissemination and reception Platformization of information and algorithmic roles Digital formats analysis in journalism She has led multiple funded research projects including: PANDA (2023-2026, CHF 499,986) on pandemic data communication #sad2 (2021-2022, CHF 138,460) on disinformation architectures LINC (2018-2021, CHF 184,586) on local journalism innovation International collaborations on pandemic communication and digital media Her teaching includes: Digital technology courses for economics students NewsLab projects for journalism master's students Advanced seminars on digital media and communication Innovative journalistic format production She serves in leadership roles for: President of the Scientific Council, Initiative for Media Innovation (2018-2022) Board Member, Hirondelle Foundation (2021-present) Editorial Board Member, Cahiers du journalisme (2020-present) Qualis Commission, University of Neuchâtel (2019-present)

Xiaowen ZhangView profile

Professor

• Cryptography
• Information Security
• Cybersecurity
• +5 more

Xiaowen Zhang is a Professor of Computer Science at the College of Staten Island (CSI), City University of New York (CUNY), and a Doctoral Faculty Member at the CUNY Graduate Center. His academic work bridges theoretical and applied research in cybersecurity, information systems, and network technologies. Dr. Zhang holds a Ph.D. in Computer Science from the CUNY Graduate Center (2007) and a Ph.D. in Electrical Engineering from Northern Jiaotong University (1999), along with an M.A. from CUNY Queens College, an M.S. from Northern Jiaotong University, and a B.S. from Shanxi University. His research focuses on Cryptography, Information Security, Cybersecurity, Secure Biometrics, RFID Security & Privacy, Information Retrieval, and Wireless Sensor Networks . He explores both foundational cryptographic methods—such as secret sharing schemes and hash functions—and their practical implementations in secure systems, including RFID authentication protocols and data visualization platforms for sensor networks. The analysis of his recent publications reveals a consistent focus on security mechanisms in distributed and wireless environments . His work frequently combines cryptographic theory with system-level implementations, particularly in RFID and sensor networks. There is a strong trend toward privacy-preserving protocols, efficient data retrieval, and secure information sharing , often leveraging mathematical structures like Latin squares and Bloom filters. Dr. Zhang has been actively involved in mentoring students, as evidenced by numerous co-authored publications with graduate and undergraduate researchers. His contributions span journals such as Security and Communication Networks , Journal of Applied Security Research , and International Journal of Security and Networks , as well as major conferences including IEEE LISAT, ACM CODASPY, and IEEE Sarnoff Symposium.

Dennis G. WhyteView profile

Professor

• Magnetic Fusion Energy
• Plasma-Surface Interactions
• Accelerators and Surface Analysis
• +3 more

Dennis G. Whyte is the Hitachi America Professor of Engineering at MIT, leading the Plasma Science and Fusion Center (PSFC) and the SPARC fusion project in collaboration with Commonwealth Fusion Systems (CFS). He holds a BEng from the University of Saskatchewan, and an MS and PhD from Université du Québec. His research focuses on magnetic fusion energy, plasma-surface interactions, and accelerator-based material analysis. Notable awards include the Fusion Power Associates Leadership Award (2018) and the Nuclear Fusion Journal Prize. He teaches courses on fusion energy and technology, including 22.62 and 22.63. His work on SPARC aims to achieve net fusion energy through advanced high-field superconducting magnets, a breakthrough validated in 2021 with a 20-tesla magnet demonstration. Research interests span boundary plasma physics in tokamaks, plasma diagnostics, and fusion reactor design. He has pioneered concepts like the ARC power plant and liquid blankets, emerging from student design courses he led. Over 300 publications and interdisciplinary collaborations highlight his contributions to fusion’s practical application. Grants and industry partnerships reflect his push to accelerate fusion energy’s commercialization, positioning SPARC as a pivotal step toward sustainable clean energy. Labs and teams include the PSFC and CFS collaborations, emphasizing rapid experimentation and modular design. His leadership in national and international panels underscores fusion’s global strategic importance. Recent projects include the MIT-CFS collaboration’s 20T magnet milestone, advancing fusion toward grid-readiness by 2025.

Marié AbeView profile

Associate Professor

• sound and space
• ethnography
• human geography
• +6 more

Marié Abe is an Associate Professor in the Department of Music at the University of California, Berkeley, where she joined the faculty in 2023 after twelve years at Boston University. Her research explores how auditory culture produces social space through the political and affective dimensions of sound in contemporary Japan, Okinawa, Ethiopia, and the United States. Her educational background includes: B.A. in Ethnomusicology/Cultural Anthropology, Swarthmore College (2001) M.A. in Ethnomusicology, University of California, Berkeley (2004) Ph.D. in Ethnomusicology, University of California, Berkeley (2010) Abe's research investigates how culturally specific listening practices elucidate power dynamics, human difference, and spatial understandings. Her work spans sound studies, ethnography, human geography, and affect theory, with fieldwork focusing on Japanese street music, US military bases in Okinawa, and sonic connections between Japan and Ethiopia during the Korean War. She emphasizes long-term ethical engagements with interlocutors and draws from locally grounded epistemologies. Her scientific awards include: Peabody Award (2008) for co-producing NPR program 'Squeezebox Stories' Reischauer Center for Japanese Studies Fellowship, Harvard University (2010-2011) Newhouse Center for the Humanities Fellowship, Wellesley College (2013-2014) International Research Center for Japanese Studies Fellowship, Kyoto, Japan (2018-2019) Abe has advised over a dozen doctoral students at Boston University across diverse geographical contexts including Senegal, Ghana, Cambodia, and Japan. She pioneered public ethnomusicology through the BU Global Music Festival and co-founded the Peabody Award-winning radio documentary 'Squeezebox Stories'. As an active accordion performer, she engages with indie pop, Ethiopian jazz, and free improvisation ensembles, performing at major international festivals including Bonaroo and New Orleans Jazz Festival.

• Signal Processing
• Communication
• Wireless Communications
• +4 more

Professor Hakan Ali Çırpan is a distinguished faculty member at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, where he serves as Professor in the Department of Electronics and Communication Engineering. He also holds the position of Vice Dean at Istanbul Technical University since 2021. With over three decades of academic experience, Professor Çırpan has established himself as a leading researcher in signal processing and communications. His educational background includes: PhD from Stevens Institute of Technology (1993-1997) Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1989-1992) Bachelor's degree in Electrical and Electronic Engineering from Uludağ University (1985-1989) Professor Çırpan's research spans multiple domains within signal processing and communications. His primary interests include wireless communications, radar systems, machine learning applications in communications, and electronic warfare. His work on channel estimation, orthogonal frequency division multiplexing, and maximum likelihood methods has been particularly influential. He has pioneered research in areas such as source localization, spectrum sensing, and physical layer security. His recent work focuses on 5G/6G networks, AI-enhanced communications, and integrated sensing and communication systems. Analysis of his recent publications (2023-2025) reveals a strong focus on next-generation wireless technologies, particularly 5G/6G networks, AI integration in communications, and electronic warfare applications. His research demonstrates a consistent pattern of addressing fundamental challenges in signal processing while adapting to emerging technological needs. A significant portion of his recent work involves machine learning applications for spectrum management, optimization techniques for radar systems, and novel approaches to network slicing and resource allocation. His notable scientific achievements include: ASELSAN ACADEMY THESIS COMPETITION WINNER (2020) Professor Çırpan has supervised 59 theses throughout his career, mentoring numerous graduate students in the fields of signal processing and communications. He has secured significant research funding, including the "AI-Enhanced 5G/6G Networks with Integrated Camera and ISAC Systems" project (2023-2024) and the "Railway Vehicle Infrastructure New Generation Secure Communication Systems" TÜBİTAK project with a budget of ₺955,000. His research has practical applications in defense systems, railway communications, and next-generation wireless networks. His laboratory work focuses on wireless communications systems, radar signal processing, and AI-enhanced communication technologies. Professor Çırpan leads research teams working on projects related to 5G/6G networks, electronic warfare countermeasures, and secure communication systems. His group collaborates with industry partners like ASELSAN and conducts research with practical applications in national defense and critical infrastructure.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +12 more

Hao Liu is a researcher affiliated with institutions like Chinese Academy of Sciences , Beihang University , and Stanford University . His work spans Computer Science , Artificial Intelligence , and Robotics . Key affiliations: National Space Science Center (Beijing), School of Astronautics (Beihang), Key Laboratory of Pervasive Computing (Tsinghua) Research interests include Machine Learning , Image Processing , Graph Neural Networks , and Wireless Communication Optimization His recent publications focus on: Advanced control systems for fuzzy models Medical imaging via hyperspectral analysis Transformer-based approaches in NLP and vision Quantum-safe and edge computing protocols

Andres KwasinskiView profile

Professor

• Cognitive Radios and Networks
• Machine Learning for Wireless Communications
• 5G/6G/NextG Networks
• +5 more

Andres Kwasinski is a Professor in the Department of Computer Engineering at Rochester Institute of Technology (RIT), part of the Kate Gleason College of Engineering. He serves as Graduate Program Director for the Ph.D. in Electrical and Computer Engineering and M.Sc. in Computer Engineering. He co-directs the Networking and Information Processing (NetIP) Lab and holds editorial roles with IEEE publications, including Chief Editor of the IEEE Signal Processing Repository and Associate Editor of IEEE Signal Processing Magazine. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering from the University of Maryland, College Park (2004 and 2000), and B.Sc. in Electrical Engineering from the Buenos Aires Institute of Technology (1992). Prior to RIT, he worked at Texas Instruments, Lucent Technologies, and the University of Maryland. Research Interests: Cognitive radios, machine learning for dynamic spectrum access, 5G/6G networks, VR communications, cross-layer resource allocation, smart infrastructures, and signal processing. His work emphasizes sustainable and resilient communication systems, integrating renewable energy and AI-driven solutions. Notable Contributions: Authored/co-authored books on cooperative communications and 3D visual communications. Over 70 peer-reviewed publications, including works on energy-efficient wireless networks, microgrid integration for base stations, and deep reinforcement learning in cognitive radio. His research is funded by the NSF, Harris Corporation, and the Air Force Research Laboratory. Grants & Awards: Supported by grants from NSF and industry partners. Recognized for contributions to IEEE standards and technical leadership in signal processing and communications. Labs & Teams: Co-director of the NetIP Lab, focusing on networking, signal processing, and smart infrastructure. Collaborates on interdisciplinary projects in robotics, warehouse automation, and 5G/B5G systems.

Andreas Peter BurgView profile

Associate Professor

• Circuits and systems for telecommunications
• Silicon implementation of communication technologies
• Communication algorithms optimization
• +5 more

Andreas Peter Burg is a Tenured Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Telecommunications Circuits Laboratory (TCL) within the School of Engineering. He holds multiple academic and administrative roles at EPFL including Associate Professor in Teaching (SEL, EDMI, EDEE), Director of SEL Management, and Member of the Doctoral Program Committee for Electrical Engineering. Dr. Burg received his Dipl.-Ing. degree in 2000 and Dr. sc. techn. degree in 2006 from ETH Zurich. His academic career includes positions as SNF Assistant Professor at ETH Zurich (2009-2011) before joining EPFL in January 2011 as a Tenure Track Assistant Professor, where he was promoted to Tenured Associate Professor in June 2018. His research focuses on circuits and systems for telecommunications , with particular expertise in silicon implementation of communication technologies, communication algorithms optimization for hardware, low-power VLSI signal processing, and digital integrated circuits. His work bridges theoretical communication concepts with practical circuit implementations, addressing challenges in wireless and wired communication systems. His recent publications (2024-2025) demonstrate a strong focus on next-generation communication technologies including 6G systems, advanced error correction coding, wireless sensing applications, and ultra-low power circuit design. These works span multiple subfields from LDPC and polar code decoding to RF signal processing and machine learning applications in wireless systems. Willi Studer Award (2000) ETH Medal for diploma thesis (2000) ETH Medal for Ph.D. dissertation (2006) Swiss National Science Foundation Assistant Professorship grant (2008) Dr. Burg has been involved in the development of more than 25 ASICs throughout his career and co-founded Celestrius, an ETH spinoff in MIMO wireless communication. His laboratory work focuses on practical implementations of communication algorithms with emphasis on power efficiency and hardware optimization. Current research directions include 6G technologies, wireless sensing applications, and novel error correction techniques for next-generation communication systems.

Vijay K. ShahView profile

Assistant Professor

• Networking
• Communications
• Controls
• +7 more

Vijay K. Shah is an Assistant Professor in the Electrical and Computer Engineering Department at North Carolina State University, leading the NextG Wireless Lab. His research focuses on advancing wireless communication and network technologies for beyond 5G/6G systems, including O-RAN architecture, spectrum management, and AI-driven network optimization. Education: Ph.D. in Computer Science, University of Kentucky (2019) Bachelor's in Computer Science and Engineering, National Institute of Technology, Durgapur (2013) Research emphasizes open radio access networks (O-RAN), mmWave testbeds, and cross-layer optimization. Recent work highlights include ORAN-Bench-13K (LLM benchmarking), ZT-RIC (zero-trust security frameworks), and Milli-O-RAN (reconfigurable mmWave networks). His contributions span O-RAN applications (xApps/rApps), satellite-terrestrial coexistence, and AI-driven positioning systems. Experimental validations include 3GPP-compliant 5G positioning and adversarial attack defenses. Publications reflect expertise in O-RAN architecture evolution, spectrum policy tools (ASCENT), and UAV-based network coordination (GLIDE). Current projects explore LEO satellite constellations and resilient disaster response networks. Labs/Teams: Head of the NextG Wireless Lab at NC State, focusing on prototype development in O-RAN, 6G, and secure AI-driven networks.

• Science Education
• Outdoor Education
• Environmental Education
• +5 more

Jean-Philippe Ayotte-Beaudet is an Associate Professor at the Faculty of Education, Université de Sherbrooke, where he also holds the Research Chair on Outdoor Education since 2021. Previously, he served as Director of the Center for Research on Science Teaching and Learning (2020-2023) and as Assistant Professor (2017-2023). His academic journey includes a PhD in Education from Université du Québec à Montréal (2018), where his dissertation focused on students' interest in outdoor science education. Dr. Ayotte-Beaudet specializes in outdoor education, science education, and environmental education, with particular expertise in contextualized learning approaches that connect classroom instruction to real-world environments. His research examines how outdoor learning experiences impact students' engagement, scientific observation skills, and overall well-being. He has developed frameworks for implementing school-based outdoor education and investigated the cognitive and psychological benefits of nature-based learning. His publication record shows strong trends in outdoor education research, particularly focusing on elementary and secondary science education in natural settings. His recent work explores the impact of outdoor learning on students' ability to make scientific observations, the effects of nature exposure on mental health, and the development of media literacy skills in science education. His research spans both theoretical frameworks and practical implementation strategies for educators. Prix du jury, parrainé par le CRSNG, au concours La preuve par l'image (2023) Prix du public Découverte, parrainé par Radio-Canada, au concours La preuve par l'image (2023) Prix Initiatives inspirantes en éducation (2022) Prix Harfang des neiges (2022) Prix Pat-Clifford, lauréat canadien volet doctoral (2020) Bourse d'études supérieures du Canada Vanier (2017) Dr. Ayotte-Beaudet has secured significant research funding, including a $1.2 million SSHRC Partnership Grant for secondary science education development, a $2.5 million SSHRC Observatory grant on student mental health, and multiple FRQSC grants supporting his outdoor education research. He has supervised numerous graduate students and collaborated extensively with school boards, government agencies, and community organizations. His work with the Research Chair on Outdoor Education has established him as a leader in developing evidence-based approaches for implementing outdoor learning in educational settings across Quebec. As Director of the Center for Research on Science Teaching and Learning (2020-2023) and current holder of the Research Chair on Outdoor Education, Dr. Ayotte-Beaudet has built collaborative research teams involving multiple universities, school boards, and community partners. His work with the Open Sky School project demonstrates his commitment to translating research into practical interventions that address mental health challenges through nature-based approaches.

Thomas DC LittleView profile

Professor

• Visible Light Communications
• Optical Wireless Communications
• Indoor Positioning Systems
• +5 more

Thomas DC Little is a Professor of Electrical and Computer Engineering in the College of Engineering at Boston University. He serves as the Associate Dean for Educational Initiatives, driving the growth of the engineering master’s program and enhancing pedagogy through mobile and cloud technologies. Additionally, he is the Associate Director and Principal Investigator of the National Science Foundation Smart Lighting Engineering Research Center (LESA), a multi-institutional effort advancing visible light communication and smart lighting systems. Professor Little's research centers on ubiquitous computing and communications, with a focus on using optical cells to expand wireless data capacity for mobile devices. He pioneers ambient intelligence that enables environments to anticipate human needs. His key areas include Visible Light Communications (VLC), Optical Wireless Communications, Indoor Positioning Systems, and Smart Lighting. By integrating lighting infrastructure with communication networks, his work addresses the growing demand for wireless data and enables energy-efficient, responsive smart buildings and urban environments. Analysis of his recent publications (2019-2024) shows a strong trend toward occupancy sensing, indoor positioning, and hybrid RF/VLC networks. His team develops innovative solutions for people counting, zone-based positioning, and interference mitigation in dense optical wireless environments. There is increasing integration of machine learning for security and optimization, with applications in energy-efficient buildings and user-centric smart spaces. Scientific awards received by Professor Little include: Janetos Award for Continuous Indoor Air Quality Assessment for BU Buildings (2025) Professor Little actively mentors graduate students and postdocs, with notable advisees including Iman Abdalla (awarded Best Computer Engineering Dissertation, 2020-2021) and the MenuNav team (Societal Impact Award for a navigation app for the blind). He has secured significant research funding, including a $1M Department of Energy/ARPA-E project for occupancy sensing to reduce energy costs in commercial buildings and grants for indoor air quality sensor development. He leads the NSF Smart Lighting ERC (LESA), which develops COSSY people counting technology, sensory lighting systems, and dynamic light control applications. His team collaborates with industry and has spun off Helux Technologies, Inc. to commercialize dynamic lighting control. Current projects focus on creating safe, energy-efficient buildings through advanced sensor integration and wireless communication.

Ediz CetinView profile

Associate Professor

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +4 more

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Martin Nordal PetersenView profile

Associate Professor

• Internet of Things
• Optical Networking
• Wireless Communication
• +3 more

Martin Nordal Petersen is an Associate Professor at the Department of Electrical and Photonics Engineering , Technical University of Denmark (DTU) . His work spans Internet of Things (IoT) , optical networking , and wireless communication systems, with notable contributions to LoRa , NB-IoT , and LPWAN technologies. He actively supervises PhD projects on topics such as machine learning in IoT edge devices , secure 5G communication , and smart community architectures . Active projects (2024–2027): Machine Learning in IoT Edge Devices , Deterministic and Secure 5G Communication Finished projects (2021–2024; 2018–2021; 2015–2018): Reliable M2M/IoT Communication , Smart Communities , IoT 100% , Network Slicing His research explores: IoT Reliability : Multi-RAT communication, backup systems, and signal propagation Optical Networks : Alien wavelength integration, SDN control, and network emulation platforms Wireless Innovation : GPS-free geolocation, maritime NB-IoT use cases, and multimode fiber distribution Current collaborations emphasize cross-disciplinary applications of IoT in healthcare , industrial ergonomics , and smart environments .

Shahrokh ValaeeView profile

Professor

• Wireless Networks
• Signal Processing
• Vehicular Networks
• +4 more

Shahrokh Valaee is a Professor and Associate Chair for Undergraduate Studies in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, part of the Faculty of Applied Science and Engineering. He founded and directs the Wireless and Internet Research Laboratory (WIRLab). Education: BSc and MSc in Electrical Engineering from University of Tehran PhD in Electrical Engineering from McGill University Research Interests: Focuses on wireless networks (vehicular/sensor networks, B5G/6G), signal processing (indoor localization, machine learning for medical imaging), and integrated sensing/communication. His work spans: Localization in GPS-denied environments Machine learning for healthcare with limited/imbalanced data Reconfigurable Intelligent Surfaces (RIS) and drone networks Publications: Recent articles (2014-2016) show strong focus on indoor localization techniques, vehicular network protocols, and network coding, with emerging trends in machine learning applications for wireless systems and healthcare. Awards: Connaught Award (2012, 2013) NSERC Discovery Accelerator Award (2010) MaRS Innovations cPOP Award (2012) IEEE Fellow (FIEEE) Engineering Institute of Canada Fellow (FEIC) Leadership: Advises graduate students at WIRLab, where research combines theory with practical implementation (GPU-based ML, Android localization). Manages projects in integrated sensing/communication, ML for health, and B5G networks. Labs/Teams: Directs WIRLab with focus on wireless signal processing, networking, and ML implementations. Current team includes postdocs and PhD students working on localization, B5G networks, and medical ML applications.

Clemencia RodriguezView profile

Professor

• Community Media
• Communication and Social Change
• Citizens' Journalism
• +4 more

Clemencia Rodríguez is a Professor in the Department of Media Studies and Production at Temple University's Lew Klein College of Media and Communication. Her work bridges Colombian and Philadelphia-based research on citizens' media, focusing on environmental communication in post-conflict Colombia and local community media initiatives in the U.S. She co-founded OURMedia/NUESTROSMedios and serves on the Independence Public Media Foundation's board. Education: BA in Communication, Universidad Javeriana (Colombia) MA in Communication and Development, Ohio University PhD in International Telecommunications, Ohio University Research Focus: Community/alternative media theory War, peace, and media interactions Environmental communication in grassroots movements Media representations of gender, class, and race Teaching: Media studies Communication and social change Latin American media systems