Find Academic Supervisors

• Computational Aeroelasticity
• Aerospace Engineering
• Flexible Aircraft Dynamics
• +6 more

Rafael Palacios is a Professor of Computational Aeroelasticity at the Department of Aeronautics, Imperial College London (since 2007), and Deputy Head of the Department. He leads the Load Control and Aeroelastics (LoCA) Lab, focusing on computational methods for flexible aircraft and offshore wind turbines. He directs the Brahmal Vasudevan Institute for Sustainable Aviation, a multidisciplinary research center for net-zero aviation technologies. His academic lineage traces back to 18th-century German physicians, with a B.Sc. from Universidad Politécnica de Madrid and a Ph.D. in Aerospace Engineering from the University of Michigan (2001–2004). Research interests include nonlinear aeroelasticity, multibody dynamics, and sustainable aviation. He has developed frameworks like SHARPy for aeroelastic simulations and contributed to open-source tools such as SU2. Awards include the AIAA Wright Graduate Award, Fulbright Fellowship, and Imperial’s Best Supervisor (2013). He serves as an Associate Editor for the Journal of Aircraft and previously for Journal of Fluids and Structures . His work spans academic-industry collaborations with Airbus, MSC Software, and Facebook Inc. Notable publications include Dynamics of Flexible Aircraft (Cambridge University Press, 2023) and over 100 peer-reviewed articles on aeroelastic control, fluid-structure interaction, and wind energy systems.

• Human-Computer Interaction
• Mobile Technology
• Digital Learning
• +4 more

Steve Love is a Senior Researcher at the Digital Design Studio of The Glasgow School of Art, focusing on the impact of mobile technology and digital applications on human behavior, learning, and usability. His work spans interdisciplinary research in areas such as medtech for children, autonomous driving UX, cybersecurity, and mobile governance. He has led projects funded by the European Space Agency, ESA Digital Good Network, and industry partners like BT and Sharp Laboratories Europe. Notably, he received an Industrial Secondment Award from the Royal Academy of Engineering. Love's research explores topics including multimodal play in healthcare, ethical implications of digital tools, and user experience design for emerging technologies. He is the author of Understanding Mobile Human-Computer Interaction (2005) and editor of Handbook of Mobile Technology Research Methods (2009). His contributions include over 60 publications, emphasizing empirical studies on phishing avoidance, mobile commerce drivers, and cultural factors in technology adoption. His recent work highlights co-design methodologies in medtech (e.g., MRI preparation for children via mixed realities) and the psychological dimensions of autonomous vehicle interaction. Collaborations with institutions like the European Social Fund and Orange underscore his industry-academia partnerships. Key Projects: ESRC Digital Good Network (2025), Mixed Realities Play Kit (2023), Autonomous Driving Feedback (2021) Awards: Royal Academy of Engineering Industrial Secondment Award Labs/Teams: Digital Design Studio at GSA

Gwendolyn LawrieView profile

Professor

• Chemical education
• Undergraduate research
• Blended active learning
• +1 more

Professor Gwendolyn Lawrie serves as Deputy Associate Dean Academic (Curriculum Design and Teaching Innovation) at The University of Queensland's Faculty of Science, with joint affiliation to the School of Education. A teaching-focused academic since 2008, her research examines student diversity through collaborative discourse, undergraduate research experiences, and formative feedback frameworks. Current investigations target self-regulated learning in digital environments and multimodal representation impacts on knowledge acquisition. Lawrie edited Chemistry Education Research Practice and redesigned UQ's Biotechnology curriculum, expanding international articulation partnerships. Recognitions: RACI Fensham Medal for chemical education (2021) Senior Fellowship of the Higher Education Academy

• Medical Imaging
• Cybersecurity
• Federated Learning
• +3 more

Gouenou COATRIEUX is a full Professor at IMT Atlantique Bretagne-Pays de la Loire, affiliated with the Department of Image and Information Processing (ITI) and the LaTIM Inserm U1101 laboratory . His research focuses on medical imaging security , cybersecurity in healthcare systems , and federated learning . Key interests include DNA-based data storage, privacy-preserving AI, and intrusion detection in cyber-physical systems. Research activities span medical image steganography , secure federated learning frameworks , and biomedical data anonymization . Notable projects address GDPR compliance in clinical data warehouses and watermarking techniques for AI model integrity. He has collaborated on digital twin technologies for anomaly detection in critical infrastructure. Recent work emphasizes non-IID federated learning defense mechanisms , CT imaging enhancement , and homomorphic encryption applications. Over 150 peer-reviewed publications demonstrate expertise in interdisciplinary topics like medical IoT security and deep learning for radiology. No scientific awards are listed, though his contributions to healthcare cybersecurity are widely recognized in academic circles. Advising and grant details are not explicitly stated in available materials. Primary affiliation is with IMT Atlantique's Brest campus.

Aythami MoralesView profile

Professor

• Machine Learning
• Artificial Intelligence
• Biometrics
• +6 more

Aythami Morales is a Professor at Universidad Autónoma de Madrid (UAM), supported by the Madrid Government under the V PRICIT program for Excellence in University Teaching Staff. His work bridges machine learning with real-world applications in auditable AI tools, security, privacy, and discrimination-aware learning . Key Research Themes: Biometrics, multimodal AI, fairness in machine learning, dietary assessment, and attention mechanisms Recent Projects: M2RAI (Multimodal and Multitask Responsible AI, 250K euros + PhD funding) and eMIRIAM (Risk Assessment in AI for Mental Health) His 15 most recent articles (2025) focus on AI auditability, biometric verification, and privacy-preserving techniques , spanning conferences like IEEE/IJCB, ICCV, and CVPR. He received the 2024 Stanford Top 2% Scientists in AI recognition and a Best Paper Award at CVPR 2025 . Morales actively engages in societal outreach through media (El País Retina) and public events like Pint of Science, addressing ethical AI and bias.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +3 more

Dr. Maryam Khanian Najafabadi is a Lecturer in the School of Computer Science at The University of Sydney. Her expertise spans Computational Intelligence, Artificial Intelligence, and Natural Language Processing, with a focus on applying machine learning and data mining techniques to solve real-world challenges in industry and academia. She holds a strong track record of research in recommendation systems, sentiment analysis, and biometric systems, and has led projects integrating AI methodologies across diverse sectors. Her research interests include Machine Learning, Data Mining, Recommendation Systems, and Natural Language Processing, with current projects emphasizing intelligent techniques for user-item interaction analysis and sentiment/emotion detection in text. She has published extensively in Tier 1 journals and conferences, with a focus on graph neural networks, hybrid recommendation models, and sarcasm detection frameworks. Dr. Najafabadi is committed to education, teaching courses in Machine Learning, Data Mining, Programming Languages, and Computer Science fundamentals. She emphasizes collaborative learning and practical skills development in her teaching. While no specific grants are detailed, her work demonstrates active engagement in both academic and applied research. Her professional activities include supervising undergraduate/postgraduate projects and leading industry-linked research initiatives. Her work has been recognized through awards and credentials (specific details unlisted here), reflecting her contributions to computational intelligence and interdisciplinary applications.

Yasmin MollView profile

Assistant Professor

• Media
• Visual Culture
• Activism
• +3 more

Yasmin Moll is Assistant Professor of Anthropology at the University of Michigan, specializing in religion and media in the Middle East with a focus on Egypt. She is also a visual ethnographer documenting Nubian cultural activism. Education: BSc, Georgetown University MA, School of Oriental and African Studies MPhil, New York University PhD, New York University Her research examines the mass mediation of religious life, particularly Islamic television's role during the 2011 Egyptian revolution. Current projects include the global politics of 'moderate Islam' and Nubian cultural heritage in Egypt/Sudan. Publications analyze Islamic television production, ethnographic filmmaking, and decolonial approaches to anthropology. Recent multimodal work includes the award-winning animated film 'Hanina/Homesick' exploring Nubian displacement memories. Awards: Provost Teaching Innovation Prize (2023) Wenner-Gren Foundation Fieldwork Grant Fulbright-Hays Fellowship National Science Foundation Grants Dr. Moll directs the 'Abrahamic Sensorium' pedagogy program and teaches courses on digital cultures, Islamic anthropology, and sensory ethnography.

Angelo CangelosiView profile

Professor

• Cognitive Robotics
• Neural Networks
• Human-Robot Interaction
• +2 more

Angelo Cangelosi is Professor of Machine Learning and Robotics at the University of Manchester's School of Computer Science, where he co-directs the Manchester Centre for Robotics and AI. He holds affiliations as a Turing Fellow at the Alan Turing Institute and visiting positions at Università Cattolica Milano and Hohai University. Dr. Cangelosi leads the Cognitive Robotics Lab, focusing on cognitive and developmental robotics, neural networks, language grounding, human-robot trust, and healthcare robotics. His interdisciplinary work integrates computational modeling with psychological principles to advance socially intelligent systems. His research spans cognitive architectures for social perception, embodied language learning, and transparent human-robot interaction. Current projects explore theory of mind modeling, multimodal emotion recognition, and trustworthy AI systems for safety-critical applications. Cangelosi's publications demonstrate consistent innovation in human-robot collaboration frameworks, with recent work examining mental state modeling for trust, interpretable reinforcement learning, and ethical dimensions of creative AI systems. His scholarship bridges robotics, cognitive science, and AI ethics. Awards: IEEE ICDL-EPIROB Modelbot Award (2019) European Research Council Advanced Grant (2023) He directs multiple EU and UKRI grants including ERC Advanced project, TRAINCREASE, and PRIMI. Collaborations include Honda, BAE Systems, and Jacobs. As Editor-in-Chief of Interaction Studies and IET Cognitive Computation and Systems , he shapes discourse in cognitive robotics.

Alan GousView profile

Adjunct Professor

• Computational Mathematics
• Network Engineering
• Traffic Optimization
• +1 more

Alan Gous is an Adjunct Professor at Stanford University's Institute for Computational and Mathematical Engineering (ICME), where he applies mathematical modeling to network engineering challenges. His research spans network optimization, traffic engineering, and secure communication systems. With industry experience reflected in numerous patents, Dr. Gous has developed innovative solutions for network routing optimization, including latency-aware algorithms and segment routing techniques. His work balances theoretical foundations with practical implementations in telecommunications infrastructure. Earlier research contributions include statistical methodologies for model selection and dataset comparison. His current focus addresses security frameworks for network authorization systems and gateway communication protocols, demonstrating a consistent emphasis on efficient and secure network architectures.

Christopher L KreiderView profile

Assistant Professor

• Information Security
• Password Systems
• AR/VR Authentication
• +4 more

Christopher L Kreider serves as an Assistant Professor in the School of Engineering and Computing at Christopher Newport University, where he also directs the Cybersecurity and Information Science Programs. His academic journey includes a Ph.D. in Information Systems/Cyber Security from Dakota State University (completed February 2024), an MS in Computer Science from Georgia Tech, an MIT from Virginia Tech, and a BS in Information Science from CNU itself. As a military spouse, his academic path involved navigating multiple relocations before returning to his alma mater to teach. Kreider's research focuses on three primary areas: Information Security (particularly password systems and AR/VR authentication), Online Communities (with extensive Wikipedia research), and Healthcare Information Systems. His work bridges theoretical cybersecurity principles with practical applications, often examining the human factors in security systems. His recent publications demonstrate a strong emphasis on novel authentication methods for emerging technologies, cybersecurity education frameworks, and community dynamics in online platforms. His publication record shows consistent output in top information systems venues including AMCIS, SAIS, and the Journal of the Southern Association for Information Systems, with a noticeable increase in AR/VR security research since 2021. Kreider's work combines technical security concerns with human-centered design principles, particularly examining how users interact with security systems in immersive environments. SAIS 2020: Best in Track Paper for 'A Framework for Describing Alternative Keyboard Structures in Augmented Reality' 2nd Annual Virginia Cybersecurity Education Conference, 2019: 3rd Place Capture the Flag Competition 1st Annual Virginia Cybersecurity Education Conference, 2018: 1st Place Capture the Flag Competition SAIS 2015: Best Paper for 'Request for Adminship (RFA) within Wikipedia' Kreider actively mentors graduate students, serving as committee chair for cybersecurity-focused master's theses. He has held significant service roles including SAIS VP Conference Chair (2023), VP Program Chair (2022), and Board Member. His professional engagement extends to the Virginia Peninsula ISC2 Chapter where he regularly presents on current cybersecurity topics. Kreider also contributes to the English Wikipedia as an elected administrator, demonstrating his commitment to open knowledge communities.

• Project Management Education
• Educational Technology
• Curriculum Development
• +3 more

Professor Fiona Saunders is a Professor of Project Management Education and Director of the Centre for Learning Enhancement and Educational Development (LEED) at Manchester Metropolitan University (MMU). She leads LEED's efforts to integrate pedagogic scholarship, innovation, and digital education into curriculum development and educational policy. Previously, she served as Faculty Director of Education in MMU's Faculty of Science and Engineering, overseeing teaching strategies, student experience, and graduate outcomes from 2017–2022. Her academic background includes a PhD in Project Management (2016, University of Manchester), an MBA with Distinction (1999, Lancaster University), and a BSc in Applied Physics and Electronics (1991, University of Durham). She is a Principal Fellow of AdvanceHE and Chartered Engineer. Her research focuses on educational technology, curriculum design, project management in safety-critical industries (e.g., nuclear energy), and decolonizing curricula. Notable outputs include books on project finance and peer-reviewed articles on video-based teaching, nuclear project management, and high-reliability practices. Recent work addresses curriculum decolonization and integrating Ubuntu philosophy into engineering education. Prof Saunders has extensive industry experience, including project management roles at PA Consulting and the Autobar Group before transitioning to academia. She advises on educational policy, chairs international conferences, and maintains a professional blog with global reach (www.fionasaunders.co.uk).

Gina Mikel PetrieView profile

Professor

• Teaching English to Speakers of Other Languages
• Language Teaching Methods
• Trauma-sensitive Language Teaching
• +3 more

Gina Mikel Petrie, PhD is a Professor and Coordinator of the English as a Second Language (ESL) Program at Eastern Washington University. She holds an MA in Applied Linguistics/TESOL from Indiana University and a PhD in Education from Washington State University. Her expertise spans trauma-sensitive language teaching, English for Specific Purposes (ESP), and educator training in low-resource settings. Dr. Petrie has conducted international teacher development initiatives in Nicaragua, Mexico, Jordan, Italy, and India, including a virtual curriculum design project in New Delhi (2020) and a tourism-focused program in Amman (2018). She serves as a U.S. Department of State English Language Specialist, emphasizing global outreach and innovative pedagogical strategies. Her research focuses on sociocultural contexts of language instruction, particularly how political and psychological trauma impact teaching practices. Notable projects include developing trauma-informed methodologies and creating educative curriculum materials for independent teacher learning. Her work has been published in TESOL Journal , Teaching and Teacher Education , and English Teaching Forum . Recent scholarship highlights include exploration of heritage language identity in Mexico (2024), teacher resilience in politically unstable regions (2019), and digital tools for ESP program quality assurance (2014). Her work bridges theoretical frameworks with practical applications, addressing global educational challenges through culturally responsive curricula and technology integration. Dr. Petrie’s international collaborations and policy-focused research reflect her commitment to equitable language education. She actively contributes to teacher training initiatives, emphasizing culturally sustaining practices and educator autonomy through accessible professional development resources.

Kritagya Raj UpadhyayView profile

Assistant Professor

• Cybersecurity
• Blockchain and Smart Contracts
• Artificial Intelligence
• +4 more

Dr. Kritagya Raj Upadhyay is an Assistant Professor in the Department of Computer Science at Middle Tennessee State University (MTSU). Specializing in Blockchain and Smart Contracts , Cybersecurity , Artificial Intelligence , Data Cooperatives , and Metaverse , his research focuses on developing architectures and algorithms that address uncertainty, trust, privacy, and security in emerging technologies. Research Interests: Blockchain for Trusted Artificial Intelligence Smart Contracts Security and Scalability Data Cooperatives for Privacy Protection Metaverse Threat Modeling Fuzzy Logic in Legal Contract Interpretation Recent Publications demonstrate expertise in blockchain applications, metaverse security, and AI integration across diverse domains. His work spans Smart Contract Vulnerability Detection , Legal Contract Automation , and Secure IoT Systems . Scientific Awards : MTSU Data Science Institute Seed Grant ($5,000) - 2024 Best Research Paper Award - IEEE TPS-ISA 2023 Outstanding Ph.D. Student Award - University of North Texas 2023 NSA Innovation Award - 2021 Dr. Upadhyay mentors graduate students like Samir Poudel (Second Best Poster Awardee 2023) and teaches courses including Blockchain and Smart Contracts , Secure Software Systems , and Computer Science I at MTSU.

Md Baharul IslamView profile

Associate Professor

• Image Processing
• Computer Vision
• Augmented and Virtual Reality (AR/VR)
• +5 more

Dr. Md Baharul Islam is an Associate Professor in the Department of Computing & Software Engineering at Florida Gulf Coast University (FGCU), affiliated with the U.A. Whitaker College of Engineering. He holds a Ph.D. from Multimedia University (2018), an MS from Nanyang Technological University (2012), and a BS from Rajshahi University of Engineering & Technology (2007). His research focuses on image processing, computer vision, AR/VR for vision rehabilitation, and human-centered computing. He has authored over 80 peer-reviewed publications and secured prestigious grants like the TUBITAK 2232 Outstanding Young Researchers Grant, supporting seven postgraduate students. Education : Ph.D., Multimedia University, 2018 MS, Nanyang Technological University, 2012 BS, Rajshahi University of Engineering & Technology, 2007 His work spans medical imaging applications, including retinal segmentation, acne detection, and Parkinson’s disease analysis. He has received four best paper awards and the IEEE SPS Research Excellence Award (2018). His ARVA system enhances mobility for visually impaired users, while his teams pioneered solutions for heatstroke prediction and wearable health monitoring. He actively contributes to IEEE and ACM, serving on technical committees for international conferences. Dr. Islam’s research bridges technical innovation with societal impact, addressing challenges in healthcare, accessibility, and multimedia systems through interdisciplinary approaches.

• Mobile Communications
• Wireless Sensor Networks
• Computer Vision
• +4 more

Dr. Wafa Elmannai is an Associate Professor in the Department of Electrical and Computer Engineering at Manhattan College, where she has been since 2018. She holds a Ph.D. in Computer Science and Engineering from the University of Bridgeport, following M.S. and B.S. degrees in Computer Science from the University of Bridgeport and College of Electronic Technology in Libya. Her research focuses on mobile communications, wireless sensor networks, computer vision, health assistive technologies, and quantum computing. She has received numerous awards including the AAUW grant for assistive device research, and the Best Paper Award at the 2020 IEEE Canadian Conference on Electrical and Computer Engineering. Dr. Elmannai's educational background includes a Ph.D. (2018) from the University of Bridgeport, with earlier degrees from the same institution (M.S. 2015) and Libya (B.S. 2005). Her professional roles include leadership in academic societies such as IEEE and AAUEAA, and committee positions at Manhattan College including the Diversity Committee and ABET accreditation coordination. Her research interests emphasize practical applications of technology for accessibility and healthcare, including frameworks for visually impaired navigation, emergency response systems, and robust sensor networks. She has published extensively in journals like IEEE Transactions and conference proceedings, with a focus on interdisciplinary solutions merging computer engineering and biomedical systems. Award recognition highlights her contributions to assistive technologies, cybersecurity, and academic leadership, including the UPE Outstanding President Award (2018) and multiple engineering achievement awards from the University of Bridgeport. She actively contributes to academic governance and serves as a reviewer for journals such as IEEE Access and Transactions on Neural Systems & Rehabilitation Engineering.