Find Academic Supervisors

• Artificial Intelligence
• Computer Science
• Financial Modeling
• +4 more

José Ignacio Olmeda Martos is a Professor at the Computer Science Department of the University of Alcalá, Spain. His research focuses on artificial intelligence, neural networks, financial modeling, and applications in tourism and e-learning. He leads the CSRG-UAH Cognitive Science Research Group and the AUDITAI Group for AI Software Development. He earned his Ph.D. in 1996 with a thesis on nonlinear financial models under Dr. Sergio Barba-Romero. His work bridges computational methods with real-world challenges in finance, tourism, and education. Research interests include predictive analytics, algorithmic optimization (genetic algorithms, SOMs), and accessibility in digital systems. His contributions span hybrid models in credit scoring, volatility forecasting using neural networks, and e-commerce adoption analysis. Over 25 years, he has published extensively on topics like tourism demand prediction (PLAZA project), web accessibility metrics, and financial market predictability. Key projects include developing internet-based tourism reservation systems for Castilla-La Mancha and applying wavelet filtering in financial time series. His research emphasizes interdisciplinary applications, integrating AI with tourism management and financial engineering. Education: Ph.D., Universidad de Alcalá, 1996 Publications reflect his expertise in computational finance, tourism technology, and machine learning. Despite no listed awards, his work demonstrates sustained impact in both academic and applied domains. Advising and grant activities are not detailed in the provided texts.

• Multimedia Communications
• Self-organizing Systems
• Mobile Systems
• +7 more

Prof. Ralf Steinmetz is a Full Professor of Multimedia Communications at Technische Universität Darmstadt since 1996 and head of the Multimedia Communications Lab. His research focuses on adaptive multimedia systems, self-organizing networks, mobile/sensor networking, and educational technologies. He has held leadership roles at IBM's European Networking Center and Fraunhofer IPSI. His work spans cybersecurity, IoT, disaster communication systems, and industrial networking. Education : Dr.-Ing (PhD) in Electrical Engineering, TU Darmstadt (1986) Habilitation in Computer Science, Goethe University Frankfurt (1994) Research Interests : He pioneers innovations in networked multimedia systems , including fault-tolerant communication, aerial-ground disaster monitoring (e.g., CAMON system), and 5G/Industry 4.0 infrastructure. His work emphasizes resilience, adaptive protocols, and cyber-physical integration. Recent Work Trends : Publications from 2022-2025 highlight advancements in: Wireless communication protocols (ESP-NOW, LoRa) Cybersecurity (intrusion detection via machine learning) Disaster response networks (aerial-ground cooperation) Time-sensitive networking for industrial applications Key Contributions : Developed Nature 4.0 sensor systems for biodiversity monitoring Pioneered P4-programmable network hardware solutions (P4-CODEL, P4-BNG) Advanced UAV-based emergency communication frameworks

• Cybersecurity
• Information Security
• Internet of Things
• +12 more

Niels Alexander Nijdam is a Senior Lecturer and researcher at the University of Geneva, affiliated with the Centre Universitaire d'Informatique (CUI) and the Geneva School of Economics and Management (GSEM). He leads the Information Security group (I-Sec lab) under the Research Institute for Statistics and Information Science (RISIS), focusing on cutting-edge research in cybersecurity, privacy, and distributed systems. PhD in Computer Science, University of Geneva His research interests span cybersecurity, Internet of Things (IoT), autonomous vehicles, smart cities, medical imaging, and virtual reality. He has pioneered work in secure frameworks for connected vehicles, trusted computing in embedded systems, GDPR compliance in mobility, and human-centric security visualization. His recent publications reflect a strong focus on automotive cybersecurity, blockchain for IoT, and risk assessment methodologies. The trend in his recent work (2019–2023) shows a consistent emphasis on cybersecurity in emerging technologies, particularly in transportation and IoT domains, integrating technical security mechanisms with regulatory and human factors. His publications frequently involve collaboration with researchers like M. Benyahya, A. Collen, and T. Lenard. Dr. Nijdam has not been explicitly mentioned with any scientific awards or fellowships in the provided text. As a research leader and senior lecturer, he supervises and mentors students and researchers within the I-Sec lab, though specific advisees are not listed. He has led multiple research projects related to IoT security, autonomous shuttles, and blockchain applications. No specific grants are mentioned, but his extensive publication record suggests active research funding. He directs the Information Security group (I-Sec lab), a research team focused on cybersecurity challenges in distributed and embedded systems, particularly in smart cities and autonomous mobility. The lab engages in both theoretical and applied research, often in collaboration with industry and academic partners.

Margot LuyckfasseelView profile

Professor

• Social History
• Colonial Studies
• African History
• +3 more

Margot Luyckfasseel is a Professor of Social History of Capitalism at Vrije Universiteit Brussel (VUB). She holds an external position as Work Leader at Rijksarchief België since September 2023. Her research focuses on colonial archives, African ethnic groups, and linguistic diversity in postcolonial contexts. Her expertise spans Kongo cultural studies, Belgian Congo legacy, and Congolese socio-linguistic dynamics. Notable projects include FEDTWIN5 (2023–2028) on Rwanda/Burundi colonial archives and OZR4239 (2024) examining judicial archives in Ruanda-Urundi. Her awards include the 2023 KAOWARSOM Competition and 2019 Vilakazi Award. Research interests integrate religious practices, sonic ethnography, and colonial cartography's impact on modern identities. She actively engages in public lectures and international conferences, exploring topics like enslavement narratives and postcolonial urban histories.

• Web Science
• Scientific Workflow Systems
• Semantic Web
• +3 more

David Newman serves as a Senior Enterprise Fellow within the Electronics and Computer Science department at the University of Southampton's Faculty of Engineering and Physical Sciences. His research focuses on the intersection of web science, scientific workflow systems, and semantic technologies, with particular emphasis on developing infrastructure for collaborative research environments. His primary research interests center around Web Science , Scientific Workflow Systems , and Research Objects , where he investigates how digital platforms can enhance scientific collaboration. Newman's work explores the social dimensions of scientific computing through projects like myExperiment, examining how researchers share and reuse computational workflows. His research bridges technical infrastructure development with social computing aspects of scholarly practice, contributing to the evolution of virtual research environments that support modern scientific collaboration across disciplines. Analysis of Newman's publication history reveals consistent contributions to the development of semantic platforms for scientific collaboration, particularly through the myExperiment project. His work spans from foundational research on scientific social objects (2011) to practical implementations like Erica the Rhino (2016) that demonstrate real-world applications of workflow systems. The publications show progression from theoretical frameworks for research objects toward applied implementations in digital art and news enrichment, reflecting both technical depth and interdisciplinary reach. While no specific scientific awards are documented in the available materials, Newman's contributions to the myExperiment platform represent significant impact in the research infrastructure community. His work has helped shape how scientists share and discover computational workflows, contributing to more efficient and collaborative research practices across multiple disciplines. As a Senior Enterprise Fellow, Newman contributes to the university's research ecosystem through development of digital research infrastructure rather than traditional student supervision. His work focuses on creating platforms that support researcher collaboration at scale, with implications for how scientific communities organize and share knowledge in the digital age. The myExperiment platform, in particular, has served as an important testbed for concepts now mainstream in research computing. Newman's research is closely associated with the Web & Internet Science group at Southampton, where he has contributed to the development of semantic technologies for research communities. His work represents an important strand of the university's leadership in web science and digital research infrastructure, connecting technical innovation with practical applications for scholarly communication and collaboration.

Michel MAROTView profile

Professor

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

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

Cedric R. TolliverView profile

Associate Professor

• African American Literature
• Cold War Studies
• African Diaspora Literary Culture
• +3 more

Cedric R. Tolliver is an Associate Professor in the Department of English at the University of Oklahoma. He was a National Humanities Center Fellow from 2022-2023 and holds a Ph.D. in English (not explicitly stated but inferred from academic rank and publications). His research focuses on African American literature, Cold War cultural politics, and the African diaspora's literary networks. His notable work includes the award-winning book Of Vagabonds and Fellow Travelers: African Diaspora Literary Culture and the Cultural Cold War (2019), which examines transnational intellectual exchanges during the Cold War. Research interests emphasize intersections of race, politics, and literature, particularly analyzing how Cold War geopolitics shaped African diasporic cultural production. His scholarship appears in venues like Arizona Quarterly and Journal of Postcolonial Writing . He co-edited a special issue on 'Alternative Solidarities: Black Diasporas and Cultural Alliances During the Cold War' (2014). Key Achievements: CHOICE Outstanding Academic Title (2020) National Humanities Center Fellow (2022-2023) His recent work explores Black radicalism and Third World internationalism in contemporary literature, as seen in his 2024 analysis of Lauren Wilkinson’s American Spy . Grants and institutional affiliations include the University of Oklahoma’s Department of English.

• Signal and Information Processing
• Energy Disaggregation
• Non-Intrusive Load Monitoring (NILM)
• +15 more

Professor Vladimir Stankovic is a leading academic in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde, UK. His research focuses on signal and information processing to tackle global sustainability challenges such as energy efficiency, net-zero transition, electrification of transport, and landslide monitoring. He is actively involved in multiple high-impact research initiatives and holds leadership roles in major AI and engineering conferences. PhD (Dr-Ing), University of Leipzig, Germany, 2003 MEng (Dipl-Ing), Electrical Engineering, University of Belgrade, 2000 His research interests center on applying signal processing and AI to smart homes, micro-seismic analysis, health monitoring, remote sensing, and computer vision. He has developed innovative methods in energy disaggregation, graph signal processing, and interpretable machine learning. His work bridges engineering with sustainability, contributing to UN Sustainable Development Goals. He teaches core courses including image/video processing, communication systems, signals and systems, and information theory. The recent publications highlight a strong trend in applying AI and machine learning to energy analytics in buildings and agriculture (e.g., dairy farms), landslide monitoring using seismic data, and equitable EV charging planning. These works leverage advanced techniques such as graph neural networks, transformers, and human-in-the-loop deep learning, demonstrating a consistent focus on real-world impact, interpretability, and sustainability. He has received notable scientific awards: Finalist of the World first 10K Best paper Award (Top 3%) IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010 Professor Stankovic has been a Principal or Co-Investigator on numerous research and knowledge exchange projects, including JED-AIs (Justice, Energy, Demand flexibility and AI for Sustainability), REMINDA, and multiple Digital Dairy Chain Innovation Vouchers. These projects are funded by EPSRC and other UKRI councils, focusing on AI-driven energy analytics, community energy sharing, and sustainable farming. He serves in key editorial roles, including Area Editor for IEEE Transactions on Communications and Associate Editor for Nature Scientific Data, and has organized major conferences such as IEEE MMSP 2017 and IJCNN 2025. He is actively involved in research teams and collaborative networks focused on AI for sustainability, energy systems, and environmental monitoring. His lab works on datasets such as the Plegma Dataset and REFIT, supporting open science in energy and seismic analytics.

Verena KetterView profile

Professor

• Media education
• Media in social work
• Digital media and higher education
• +6 more

Prof. Dr. Verena Ketter serves as a Professor of Media in Social Work at Hochschule Esslingen since 2015. She holds multiple leadership roles including Dean of the Faculty of Social Work, Education and Care, Senate Member, Building Committee Member, and DV Committee Member. Current: Professor (since 2015) Prior: Substitute Professor at RheinMain University (2014-2015) Education: Dr. phil. from Pädagogische Hochschule Ludwigsburg (2014), MA in Media Education (2006), Diplom-Sozialpädagogin (1999) Her research focuses on media education within social work, particularly examining vireal social space appropriation, mobile learning in urban environments, and gender-sensitive media pedagogy. She explores digital participation mechanisms, peer education models, and Web 2.0 applications in educational contexts. Articles highlight her expertise in media-supported participation, with recurring themes of Web 2.0 integration, social space research, and digital youth empowerment. Her work bridges practical social work with cutting-edge media education theories. Fellowship for Innovations in Higher Education Teaching (2013) klicksafe National Prize (2009) Dieter-Baacke Prize (2007) She maintains active roles in multiple academic societies including GMK, DGfE, DGSA, and GMW. Her methodology combines vireal (virtual-real) approaches, emphasizing practical media research and community-based digital engagement strategies.

Duy Linh TuView profile

Professor

• Journalism
• Documentary Film
• Multimedia Production
• +2 more

Duy Linh Tu serves as Dean of Academic Affairs and Professor of Professional Practice at Columbia University's Graduate School of Journalism, with affiliations in the Computing Systems for Data-Driven Science and Data, Media and Society research centers. His professional practice spans journalism, documentary filmmaking, and multimedia production, informed by extensive industry experience as co-founder/Creative Director of Resolution Seven and former COO of award-winning interactive production company Missing Pixel. He has shot content for major broadcast networks and serves as director of photography for the upcoming documentary 'deepsouth'. Tu holds an M.S. in journalism from Columbia University, applying his practical expertise to academic leadership and production innovation at the intersection of media and technology.

• Educational Technology
• Collaborative Learning
• Computer-Supported Learning
• +3 more

Markus Kuhn is a researcher at the University of Cambridge with a diverse academic career spanning over two decades, evidenced by publications from 2003 to 2023. His work bridges educational technology, computer science, and autonomous systems, demonstrating significant interdisciplinary reach across multiple domains. Dr. Kuhn's research has evolved through distinct phases. Initially focused on educational technology (2003-2007), he published extensively on classroom scenarios, collaborative learning, and media integration. His work then broadened to include physics computation (2008) and process support for inquiry learning (2010). More recently (2016-2023), his research has shifted toward autonomous systems, with publications on self-localization technologies and map generation for autonomous vehicles. This publication trajectory reveals a researcher who has successfully adapted his expertise from educational applications to more technical domains while maintaining connections to his foundational work in learning systems. His research demonstrates consistent innovation in applying computational approaches to solve practical problems across different contexts. Dr. Kuhn has maintained long-term collaborations with researchers including Heinz Ulrich Hoppe, Andreas Harrer, and Andreas Lingnau, indicating strong interdisciplinary networks. His work has been published in diverse venues ranging from IEEE Access and Microelectronics Reliability to Research and Practice in Technology Enhanced Learning and International Conferences on Computer-Supported Collaborative Learning.

Sebastián FerradaView profile

Assistant Professor

• Knowledge Graphs
• Graph Databases
• Multimedia Databases
• +3 more

Sebastián Ferrada is an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile. He also serves as Young Researcher at the Institute for Foundational Research on Data (IMFD) and Collaborating Researcher at the National Center for Artificial Intelligence Research (CENIA). His research focuses on Knowledge Graphs, with special emphasis on extraction, management, and applications for querying, browsing, and AI systems. His academic background includes: PhD in Computer Science (2021), Universidad de Chile MSc in Computer Science (2017), Universidad de Chile BEng in Computer Science (2017), Universidad de Chile Sebastián's research explores several key areas: Multimedia Databases with applications to Wikimedia Commons images Graph Databases and Knowledge Graphs construction Federated Data Management across heterogeneous RDF sources SPARQL query extensions for similarity-based operations Graph data management and compression techniques His recent publications demonstrate strong trends in knowledge graph construction, similarity-based querying, and efficient graph data management. These works combine theoretical advancements with practical implementations in real-world systems like IMGpedia and MillenniumDB. Scientific achievements include: Best Paper Award at CoopIS 2023 Best Demonstration Award runner-up at SIGMOD/PODS 2024 Best Student Paper (Resources Track) and Best Poster at ISWC 2017 First prize in CLEI 2017 for his Master's thesis Sebastián currently leads the Fondecyt project on graph data management and contributes to the U-Inicia project on AI processes in graph databases. He serves on the editorial board of Transactions on Graph Data and Knowledge.

Jason J. JungView profile

Professor

• Computer Science
• Knowledge Engineering
• Social Media Analysis
• +3 more

Jason J. Jung is a Professor in the Department of Computer Engineering at Chung-Ang University, Seoul, Korea. His academic work focuses on knowledge engineering , social media analytics , and data mining within the Knowledge Engineering Laboratory. Research Interests : Computer Science, Social Knowledge, Data Modeling, Sentiment Analysis Projects : IoT-based cultural systems, real-time social event detection, transmedia storytelling models The 15 most recent publications (2014-2018) demonstrate expertise in social network analysis , multimodal data processing , and context-aware systems applied to urban services, cultural tourism, and digital storytelling. Key trends include real-time analytics , trust modeling , and collaborative frameworks for O2O services. Professional activities include editorial contributions, invited talks, and patent developments. Students at all levels (PhD/MSc/BSc) conduct research under his supervision at the Knowledge Engineering Laboratory. Personal interests include travel, film, painting, literature, and music.

Cora A. AlleyView profile

Adjunct Associate Professor

• Dramatic Literature
• Creative Writing
• Christian Education
• +7 more

Cora A. Alley is an Adjunct Associate Professor of English in the Department of English at Hope International University, where she teaches courses in composition, literature, dramatic writing, and children's literature. Her academic work is deeply rooted in integrating faith and creative expression, particularly through the use of drama in Christian ministry and education. Her educational background includes an M.A. in Theater, an M.S. in Education, and a B.A. in Theater & English, all from California State University, Fullerton. She also holds multiple teaching credentials and a Hollywood scriptwriting certificate, underscoring her interdisciplinary expertise. Dr. Alley's research and professional interests focus on the use of drama in sermon illustrations, training writers for church and secular audiences, and developing creative curricula for children's ministry. She emphasizes critical thinking, articulate writing, and the artistic communication of the Gospel. Her work bridges academic rigor with practical ministry application. The recent publications and projects reflect a sustained commitment to Christian storytelling across media—ranging from skits and passion plays to magazine columns and curriculum design. These works span decades and demonstrate a consistent focus on evangelism, spiritual formation, and educational innovation within faith communities. Who's Who Among American Educators Outstanding Faculty Service Award, Pacific Christian College Excellence In Children's Ministry Award, International Network of Children's Ministry Excellence in Theatrical Direction, Inland Empire Theater Guild Excellence in Drama Ministry, Crossroads Christian Church Dr. Alley has advised and contributed to numerous ministry training programs and curricula, notably the Children's Ministry Training Series for the International Network of Children's Ministry. She has also been a freelance writer for major Christian publications such as GROUP Magazine, WORSHIP LEADER, and THE LOOKOUT. Her work has been supported through ministry outreach initiatives rather than traditional academic grants, reflecting her unique position at the intersection of education and religious communication. She is actively involved in creating dramatic resources for churches, including original plays, pageants, and skit curricula. Her projects like 'INKspirations' and 'SKITuations' serve as comprehensive tools for youth and adult ministries, emphasizing experiential learning and spiritual engagement.

• LLM-assisted agent systems
• Explainable AI
• Multimodal artificial intelligence
• +12 more

Dr. Yifei Dong is a Research Fellow at the Data Science Institute , University of Technology Sydney, with expertise in LLM-assisted agent systems , explainable AI , and multimodal artificial intelligence . Holding a PhD in Computer Science from UNSW Sydney and over a decade of fintech industry experience including CTO roles, he has secured $2.4 million in competitive funding for AI solutions bridging academia and real-world applications in healthcare, education, and finance. Education : PhD in Computer Science from UNSW Sydney Current Role : Research Fellow at UTS Data Science Institute (2023–present) Past Academic Appointments : Lecturer at Southern Cross University and Western Sydney University Dr. Dong’s research focuses on making AI systems transparent and socially beneficial , with contributions to adversarial AI, trustworthy digital societies, and wireless sensor networks. His recent work includes: Developing AICAttack (2025) for adversarial image captioning attacks Creating the QMAD fairness metric (2025) for dynamic environments Advancing explainable ECG diagnosis systems (2025) via multimodal LLMs As a scientific awardee (2025 RegTech Social Impact of the Year), he has pioneered AI solutions for vulnerable populations, such as NDSI participants through the "My Complaint Assistant" tool. His supervision of PhD and Honours students emphasizes technical rigor and ethical responsibility.