Find Academic Supervisors

• Wireless Communications
• MIMO Systems
• Spatial Modulation
• +3 more

Lixia Xiao is a Research Fellow at the Faculty of Engineering and Physical Sciences of the University of Surrey. Her research focuses on advanced wireless communication systems, particularly in MIMO configurations, spatial modulation techniques, and OFDM-based systems. She specializes in optimizing transmission efficiency through methods like compressive sensing, index modulation, and polarization modulation, with an emphasis on reducing hardware complexity (e.g., RF chains) while maintaining high spectral efficiency. Her work addresses challenges in non-coherent detection, channel estimation, and error probability analysis for next-generation communication systems. Key contributions include novel schemes such as STBC-QSM, G-QSM, and DCT-OFDM-IM, which enhance throughput and reliability in environments like massive MIMO and 5G networks. Xiao’s research also explores practical implementations of these techniques, balancing theoretical analysis with empirical validation. Publications highlight her focus on system design, signal detection algorithms, and performance optimization under diverse channel conditions. While her work is highly technical, it consistently bridges theoretical advancements with real-world applicability in wireless communication systems.

Alessandro BozzonView profile

Professor

• Human-Centered Artificial Intelligence (HCAI)
• Human-Computer Interaction
• AI-driven Systems Design
• +3 more

Prof. Alessandro Bozzon is a Full Professor of Human-Centered Artificial Intelligence (HCAI) at Delft University of Technology, holding dual appointments in the Faculty of Industrial Design Engineering and the Faculty of Electrical Engineering, Mathematics, and Computer Science. He leads the Department of Sustainable Design Engineering and chairs the Delft AI Labs and Talents initiative. His research focuses on developing AI systems that augment human capabilities while ensuring ethical and societal benefits, with contributions spanning HCAI, human-AI interaction, and algorithmic fairness. Awarded the 2023 Fellow of the Netherlands Academy of Engineering and recipient of the IBM Faculty Award (2017), Bozzon has pioneered projects like SocialGlass (urban analytics) and TROMPA (music digitization). He teaches courses on Machine Learning for Design and Crowd Computing, and has mentored over 70 graduate students. His work addresses challenges in healthcare AI, automated decision-making, and sustainable energy systems through interdisciplinary collaborations with industry and policymakers. Key projects include the Equal-Life initiative (children’s greenspace access) and FAIR digital product passports for ICT. He co-directs the Future Libraries Lab, exploring AI’s role in cultural heritage. His research has been featured in top venues like CHI, ACM conferences, and interdisciplinary journals.

Julia BennellView profile

Professor

• Operational Research
• Logistics Optimization
• Cutting and Packing Algorithms
• +5 more

Professor Julia Bennell is the Executive Dean of Leeds University Business School, overseeing academic and strategic operations. She holds a First Class Honours degree in Mathematics and Management Science (1994) and a PhD in Management Science (1998) from the University of Swansea. Previously, she served as Professor of Management Science at the University of Southampton Business School (promoted 2010), where she directed CORMSIS (a leading UK OR/MS group), led the Department of Decision Analytics and Risk Research (2012–2015), and acted as Deputy Head of School (2015–2018). Her roles also included executive coaching and mentoring. Her research focuses on optimization models for logistics, particularly cutting and packing, vehicle routing, scheduling, network design, and heuristic algorithms. She has published over 45 papers in top journals like European Journal of Operational Research and has secured £1+ million in research funding from EPSRC, BBSRC, and KTP. She chairs the European Working Group on Cutting and Packing and holds leadership roles in the Association of European Operational Research Societies. Bennell’s teaching spans 20 years across undergraduate, postgraduate, and MBA programs, emphasizing operational research and management science through industry-driven problems. She advises current postgraduate researcher Nesma ElShishtawy. Her professional activities include keynote speaking at major conferences (EURO, IFORS), guest editing, and organizing international conferences. She maintains strong industry ties through consultancy, HMRC training programs, and collaborations with SMEs and government bodies.

Jacopo UrbaniView profile

Associate Professor

• Knowledge Graphs
• Data Stream Reasoning
• Semantic Web
• +4 more

Jacopo Urbani is an Associate Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science, Computer Systems department, and the Network Institute. His research focuses on Knowledge Graphs, Stream Reasoning, and Distributed Computing. He explores scalable reasoning techniques for large-scale datasets, integrating semantic technologies with real-time data processing. His work emphasizes practical applications of logic-based systems, including existential rules, probabilistic reasoning, and trigger graphs for efficient knowledge base materialization. Recent contributions address challenges in handling dynamic data streams and enhancing the scalability of semantic web technologies. Urbani has published extensively in top venues like the Semantic Web Conference (ESWC) and the International Conference on Principles of Knowledge Representation and Reasoning (KR). Notable projects include the VLog rule engine for knowledge graphs and the Tab2Know platform for extracting structured data from scientific tables. He supervises PhD theses in areas like stream reasoning and knowledge graph embeddings. His research also involves collaborative efforts with institutions worldwide, addressing topics such as data compression, distributed computing architectures, and hybrid reasoning systems.

Alex HallView profile

Senior Lecturer

• Border Security
• Critical Security Studies
• Immigration Detention
• +3 more

Dr. Alex Hall is a Senior Lecturer in the Department of Politics and International Relations at the University of York. Her research focuses on the securitisation of mobility, border politics, and the ethics of algorithmic decision-making in security contexts. She has conducted ethnographic studies of UK immigration removal centers and explores the rise of security volunteers/vigilantes in Europe and the UK. Her work is supported by grants from the British Academy and the University of York's Justice and Equality theme. Her research interests include critical security studies, data technologies in border governance, and the governance of mobility. Current projects investigate discretion in algorithmic security decisions and the role of volunteers in border security. She leads the White Rose Collaboration Network on 'Europe, Migration and the New Politics of (In)security.' Dr. Hall teaches modules on 'New Security Challenges' and 'Border Politics' at the undergraduate level. She has supervised PhD students on topics ranging from social media's impact on mental health to strategic cultures in the Fergana Valley. Her research outputs include 14 peer-reviewed articles and books chapters, focusing on detention ethics, border technologies, and cosmopolitan morality. She has presented at international conferences and serves on academic boards, including the University of Ottawa advisory panel.

Heather TurnerView profile

Associate Professor

• Statistical Modeling
• R Programming
• Sustainability
• +3 more

Heather Turner is an Associate Professor and EPSRC Research Software Engineering Fellow at the University of Warwick's Department of Statistics. She leads work on sustainability and EDI in the R Project, contributing to R package development (e.g., gnm , BradleyTerry2 ), and promotes diversity in the R community through initiatives like Forwards . Her research focuses on statistical modeling, open-source software, and community-building. Education: PhD in Biclustering Microarray Data (University of Exeter, 2005), BSc in Applied Statistics (University of Reading). Past roles include Senior Research Fellow at Warwick, statistician at Pfizer, and editorial roles in Journal of Statistical Software and R Journal . Research interests span statistical methodology, R package development, and fostering inclusive practices in academia and tech. Awards include the 2007 John M. Chambers Statistical Software Award for contributions to the gnm package. Active in professional service: Program Chair for useR! Conferences (2011, 2017, 2019), board member of the R Foundation, and keynote speaker at global R events like Johannesburg satRday 2020.

Ella KayeView profile

Research Fellow

• Research Software Engineering
• Data Science
• Statistical Computing
• +3 more

Ella Kaye is a Research Software Engineer and EPSRC/STFC RSE Fellow at the University of Warwick's Department of Statistics. Her work focuses on sustainability and Equality, Diversity, and Inclusion (EDI) initiatives in the R Project, alongside contributing to R package development and data science capacity-building. She leads the rainbowR community for LGBTQ+ individuals in R and develops University of Warwick-branded tools like warwickplots and warwickcourse . Her research interests include statistical software engineering, computational statistics, and open-source collaboration. Education: No formal education details provided in texts. Research Interests: Ella specializes in research software engineering, particularly in statistical computing and R tooling. She advocates for inclusive practices in open-source communities and maintains several impactful R packages such as BradleyTerryScalable for Bradley-Terry model implementations. Publications & Resources: Her work includes the BradleyTerryScalable package (2017-2022) and educational materials on R package development. Recent efforts emphasize reproducible workflows and institutional branding in academic resources. Awards: Recognized through the prestigious 2021 EPSRC/STFC RSE Fellowship. Advising & Grants: No formal advising roles or grant details specified. Collaborates closely with Dr. Heather Turner on fellowship initiatives. Labs/Teams: Engaged with Warwick's Statistics department and broader R communities, including RLadies and R Consortium networks.

• Data Assimilation
• Meteorology
• Numerical Weather Prediction
• +4 more

Javier Amezcua is a researcher specializing in data assimilation, numerical weather prediction, and atmospheric dynamics, affiliated with the University of Maryland. He holds a PhD in Atmospheric Sciences from the University of Maryland (2012), focusing on sequential data assimilation and numerical weather forecasting. His work bridges advanced statistical methods with meteorological modeling, particularly in ensemble Kalman filters, model error estimation, and tropical climate dynamics. Research interests include: Development of ensemble-based data assimilation techniques for improving weather and climate models Integration of observational data (e.g., infrasound, satellite) to enhance atmospheric wind field estimation Study of model error dynamics and their impact on forecast accuracy Applications in renewable energy, such as wind resource prediction and statistical-dynamical downscaling Notable contributions include advancements in ensemble transform filters, weak-constraint 4D ensemble variational methods, and the implicit equal-weights particle filter. Collaborations span institutions like the University of Reading, the Norwegian Meteorological Institute, and the European Centre for Medium-Range Weather Forecasts. His thesis explored sequential data assimilation methodologies, including the Ensemble Transform Kalman-Bucy Filter and the effects of time-stepping schemes in atmospheric models. Ongoing work emphasizes interdisciplinary applications of data assimilation in epidemiology and hydrology.

Daniel PlabstView profile

Researcher

• Optical Communication Systems
• Signal Processing
• Fiber-Optic Communication
• +5 more

M.Sc. Daniel Plabst is a Researcher at the Institute for Communications Engineering, part of the Technical University of Munich's TUM School of Computation, Information and Technology. He holds an M.Sc. from TUM (2018) and has been a research associate since 2019, supervised by Prof. Norbert Hanik until 2022 and Prof. Gerhard Kramer since 2023. His work focuses on Direct-Detection (DD) in short-reach fiber-optic communication, leveraging oversampling and inter-symbol interference for phase recovery in cost-effective systems. Education: M.Sc. in Communications Engineering from TUM (2018). Research Interests: Direct Detection, signal processing for fiber-optic systems, neural network-based interference cancellation, and nonlinear channel analysis. Teaching: Courses include Optical Communication Systems, Digital Signal Processing for Optical Systems, and laboratory courses in telecommunications and wireless communications. His publications emphasize DD applications, neural network equalizers, and optimization of fiber-optic systems. He has contributed to projects like phase retrieval in DD receivers and bipolar constellation design for high-rate transmission. Current research involves neural network-based strategies for nonlinear channels. Available theses focus on communication with coarse quantization and generalized message passing algorithms. He collaborates with the Institute's faculty and international groups like the University of Texas at Austin.

• Coded Modulation with Probabilistic Shaping
• Shannon Theory
• LDPC Codes
• +7 more

Georg Böcherer is a Lecturer at the Chair of Communications Engineering at the Technical University of Munich (TUM), under Prof. Gerhard Kramer. He holds a PhD and habilitation in Electrical Engineering. His research focuses on probabilistic shaping, LDPC codes, and fiber-optic communication systems. He has received notable awards including the Bell Labs Prize (2015) and the E-Plus Dissertation Award. Education: MSc from ETH Zürich, PhD from RWTH Aachen University, habilitation at TUM. Research Interests Coded Modulation with Probabilistic Shaping: Overcoming the shaping gap in communication systems. LDPC Codes and Protograph Design: Optimizing low-density parity-check codes for shaped bit-metric decoding. Fiber-Optic Systems: Enhancing spectral efficiency through probabilistic amplitude shaping (PAS) and rate-adaptive coding. Information Theory: Distribution matching, entropy rate analysis, and algorithmic approaches for random process simulation. Key Contributions Developed PAS schemes achieving near-capacity performance, demonstrated experimentally in fiber-optic systems. Co-organized workshops like the Munich Workshop on Coding and Modulation (MCM 2015). Active in teaching courses on channel coding, information theory, and coded modulation. Awards Bell Labs Prize (2015) Best Paper Award, ISWCS 2011 E-Plus Dissertation Award Grants & Collaborations Involved in projects like Probabilistic Amplitude Shaping (PAS) and Constant Composition Distribution Matching . Collaborates with institutions like Bell Labs, UCLA, and TU Munich's LNT communications group.

• Adaptive Systems
• Artificial Intelligence
• Learner Analytics
• +7 more

Professor Alexandra Cristea is a faculty member in the Department of Computer Science at Durham University, holding the role of Deputy Executive Dean of the Faculty of Science. She leads the SCENE lab and founded the Artificial Intelligence in Human Systems (AIHS) research group. Her research focuses on adaptive systems, learning analytics, AI, and web science, with over 350 publications and significant citations. She has led major projects including JANET/JANET 2.0 and the MESSENGER initiative promoting gender equality in STEM. She serves as Alan Turing Academic Liaison for Durham and holds editorial roles in journals like ACM Computing Surveys and IEEE Transactions on Learning Technologies. Her esteemed roles include EPSRC College membership, IEEE Senior Membership, and fellowships from the Higher Education Academy and British Computing Society. She has organized major conferences such as AIED 2022 and ECTEL 2025 and actively contributes to policy through roles like the IEEE European Public Policy on ICT. Her work spans educational technology innovations, including gamification frameworks and AI-driven student modeling, with impactful collaborations in mining safety, healthcare, and digital inclusion. Professor Cristea advises a diverse cohort of postgraduate students and has pioneered initiatives like TechUP to train underrepresented groups in tech. Her research bridges theoretical advancements with practical applications, emphasizing ethical considerations in AI and personalized learning systems.

Kei KanoView profile

Professor

• Science Communication
• Science Education
• Science and Technology Policy
• +3 more

Kei Kano is a Professor at the Science Communication Laboratory, Faculty of Education, Shiga University, Japan, and a Visiting Fellow at the Australian National University (ANU). He also serves as Director of the NISSAN Global Foundation and holds leadership roles in various educational and research institutions. With a PhD in Life Science from Kyoto University, his career spans science communication, teacher training, and policy advocacy. His research focuses on inclusive science communication, culturally relevant STEM education, and the ethical, legal, and social implications (ELSI) of AI in education. Notable contributions include developing NHK’s educational TV programs like "Think like a Crow – Scientific Method" and award-winning science engagement initiatives. Key awards include the 2017 and 2014 Prize for Science and Technology (MEXT) for science communication. Recent work addresses AI ethics in EdTech and traditional Japanese knowledge applications. Grants and projects include the "ELSI of Educational Technology" JST/RISTEX program and cross-cultural STEAM education initiatives. He actively engages with policymakers and educators through workshops and conferences worldwide. Labs/Teams: Leads the Science Communication Group at Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS) and collaborates with ANU’s CPAS on global science communication projects.

Fiona ShalleyView profile

Researcher

• Demography
• Population Data for Minority Groups
• Indigenous Population Studies
• +7 more

Fiona Shalley is a Research Associate at the Northern Institute, Charles Darwin University, working with the Demography and Growth Planning team within the Faculty of Arts and Society. Her research focuses on population data for minority groups including Aboriginal and Torres Strait Islander peoples, new migrant communities, and the non-heterosexual population. Her research interests include enhancing quantitative data sources with qualitative research to enrich data storytelling, supporting ethical data linkage and integration, and visualizing data to improve accessibility and understanding. She has contributed significantly to the development of social capital indices and frameworks for the Northern Territory, with her work aligning with several UN Sustainable Development Goals. Shalley's recent publications show a strong focus on demographic trends in the Northern Territory, LGBTQ+ population studies, and the application of advanced analytical techniques including machine learning to population research. Her work demonstrates consistent collaboration with key researchers like Taylor, Dyrting, and Wilson across multiple projects. Vice Chancellor's Award for Research Excellence 2018 (Research Team - Demography and Growth Planning team at CDU) Shalley has been actively involved in numerous research projects addressing critical Territory issues, including social outcomes frameworks, population impacts of the COVID-19 pandemic, education engagement strategies, and regional workforce planning. Her media presence through 19 press mentions demonstrates the public impact of her research on topics like population trends, migration patterns, and social capital in the Northern Territory.

• Digital Forensics
• Cybersecurity
• Blockchain Technology
• +3 more

Virginia Franqueira is a Lecturer in the Department of Electronics, Computing and Mathematics. Her research spans digital forensics, blockchain security, and trust management systems, with applications in vehicular networks, cloud computing, and cybercrime investigation. She develops analytical frameworks for emerging security challenges, including ransomware, IoT vulnerabilities, and multimedia content verification. Her publications address blockchain forensics, behavioral analysis in digital investigations, and machine learning applications for privacy verification. Recent work includes automated violence detection in video, PhotoDNA vulnerability assessments, and trust models for vehicular ad-hoc networks (VANETs). She actively contributes to forensic methodology standardization, particularly for indecent image of children (IIOC) cases. Dr. Franqueira designs educational materials on IoT prototyping and security, emphasizing practical applications for students and professionals.

Beth CateView profile

Associate Clinical Professor

• Cultural Policy and Arts Administration
• Governance and Public Law
• Nonprofit Management and Philanthropy
• +6 more

Beth Cate serves as Clinical Associate Professor at Indiana University's Paul H. O'Neill School of Public and Environmental Affairs, specializing in the intersection of law and public policy. She joined the faculty full-time in 2011 after 13 years as an adjunct instructor, leveraging 20 years of prior legal practice in public and private sectors. Her expertise spans intellectual property, data privacy, administrative law, compliance, and constitutional law. Education: J.D., Cum Laude, Harvard Law School (1991) B.A., Summa Cum Laude, Economics, George Washington University (1988) Professor Cate's research critically examines governance frameworks across cultural policy, arts administration, nonprofit management, and constitutional rights. Her work uniquely bridges data regulation with religious liberty in public institutions, analyzing Supreme Court privacy jurisprudence through lenses of digital civil liberties and historical constitutional interpretation. Current projects address student records privacy in the algorithmic age and systemic justice reform. Her publication trajectory reveals deepening engagement with digital constitutionalism—from early cybersecurity law analysis to contemporary Supreme Court privacy scholarship—while maintaining consistent focus on religious freedom and data governance intersections. Recent works demonstrate methodological evolution toward interdisciplinary policy analysis combining legal doctrine with empirical justice system assessments. Scientific Awards: Trustees Teaching Award (2013) Trustees Teaching Award (2014) Professor Cate coordinates the undergraduate Law and Public Policy major while leading the core law curriculum, developing courses like Smartphones, Drones, and Unknowns: Information Law and Policy . Her professional service includes NEH-funded instruction on text data mining legalities and editorial roles with Harvard law journals. External collaborations include Oxford University workshops on intellectual property and National Association of College and University Attorneys conference presentations.