Find Academic Supervisors

Hazel FarrellView profile

Lecturer

• Technology Enhanced Learning
• Student Engagement
• Generative AI in Education
• +3 more

Dr. Hazel Farrell is a Lecturer in the Department of Arts at SETU, serving as Programme Leader for the BA (Hons) Music course and Chair of the Council for Heads of Music in Higher Education. With over 30 years of experience in education and academia, her research focuses on technology-enhanced learning, student engagement, and the integration of Generative AI in higher education. She leads the national project Generative AI: N-TUTORR National Network (GenAI:N 3 ) and organises the Sustainability in the Arts Festival funded by SATLE and N-TUTORR. Farrell holds a PhD from Mary Immaculate College, University of Limerick (2002), focusing on pitch structures in Irish composition. Her work aligns with UN Sustainable Development Goals related to education and sustainability. She has received the Teaching Excellence Award (2019) and actively participates in academic activities, including invited talks at conferences like the Society for Music Education in Ireland and workshops on AI in education. Her research outputs emphasize innovative teaching methods, e-portfolio applications, and the ethical use of AI. She oversees two supervised works and collaborates on projects addressing AI's role in fostering student engagement.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• Psychosocial Medicine
• Oncology
• Psychiatry
• +3 more

Prof. Dr. Holger Schulz is a Research Fellow and Project Coordinator at the Center for Psychosocial Medicine, Department of Medical Psychology at the University Medical Center Hamburg-Eppendorf (UKE). His work focuses on psychosocial aspects of oncology, mental health in palliative care, healthcare systems research, and digital health interventions. He actively contributes to clinical research and policy analysis, with expertise in mental disorders, healthcare disparities, and patient-centered care. Key research areas include psychosocial oncology, palliative care practices, mental health service utilization, and healthcare provider perspectives on end-of-life care. His work integrates epidemiological methods with clinical practice, emphasizing translational research to improve patient outcomes. He has led studies on smoking cessation in cancer patients, barriers to healthcare access for autistic adults, and the implementation of e-learning tools to enhance digital health literacy. Prof. Schulz collaborates with interdisciplinary teams on randomized controlled trials (e.g., BENITA trial for ovarian cancer patients) and contributes to national health policy initiatives (e.g., Versorgungsforschung im letzten Lebensjahr). His publications span journals in oncology, psychiatry, and health services research, reflecting his commitment to advancing evidence-based mental and physical healthcare integration.

• Artificial Intelligence
• Automated Planning
• Temporal Reasoning
• +4 more

Alfonso Emilio Gerevini is a prominent researcher in artificial intelligence with over 30 years of continuous academic contributions. His work spans theoretical foundations of automated planning to practical healthcare applications, with recent publications demonstrating significant impact in both traditional AI domains and emerging interdisciplinary areas. His research interests focus on automated planning systems , temporal reasoning , and multi-agent coordination , with recent expansion into healthcare applications using machine learning techniques. Gerevini has made fundamental contributions to planning algorithms, particularly in width-based search, case-based planning, and privacy-preserving multi-agent planning. His work on PDDL (Planning Domain Definition Language) has been influential in standardizing planning representations. Analysis of his 15 most recent publications reveals a strategic evolution from core planning research toward impactful healthcare applications, particularly during the COVID-19 pandemic. While maintaining his expertise in planning algorithms, he has successfully integrated machine learning techniques to address real-world medical challenges including radiology report analysis, prognosis prediction, and lab test interpretation. His work demonstrates exceptional versatility across both theoretical and applied domains of artificial intelligence. Gerevini maintains a robust collaborative network, primarily with Italian researchers including Ivan Serina, Alessandro Saetti, and Luca Putelli. His publications appear consistently in top-tier AI venues including Artificial Intelligence journal, Journal of Artificial Intelligence Research, and AAAI/ICAPS conferences. The collaborative patterns suggest he leads a significant research group focused on advancing planning systems while applying them to critical real-world problems.

• e-didactics
• technology-enhanced education
• inclusive education
• +3 more

Nadira Saab is a Professor of Educational Sciences at Leiden University's Graduate School of Teaching (ICLON), with a focus on e-didactics, technology-enhanced education, inclusive education, and collaborative learning. She holds a PhD in Developmental and Educational Psychology from the University of Amsterdam (2005). As a faculty member since 2014, she leads research on formative assessment, online learning, and secondary education pedagogy. She is also a fellow of the Leiden Teachers' Academy. Her research includes projects such as Sharing knowledge: joint professional development of inquiry-based teaching at international schools (2015–2018), exploring teacher collaboration and inquiry-based methods in international schools. She investigates how professional development activities influence teacher autonomy, competence, and motivation. Dr. Saab supervises multiple PhD candidates and postdoctoral researchers, contributing to advancements in educational theory and practice. Her work bridges educational psychology and digital innovation, addressing inclusive teaching strategies and teacher training initiatives.

Roy JonesView profile

Clinical Professor

• Health Information Technology
• Information Systems Management
• Economics of Information Systems
• +3 more

Roy Jones is a Clinical Professor at the Simon Business School. His expertise spans Health Science Management and Information Systems, focusing on the economics of information systems, electronic business, and health information technology. Before pursuing his PhD, he was a lecturer in the Computer Science Department at Stanford University and founded a relational database consulting firm, collaborating with Fortune 500 companies and startups. His research examines markets for information goods, the impact of development costs on market structures, and healthcare IT’s role in managing patient outcomes. Recent work emphasizes reducing hospital readmissions through health IT solutions. Professor Jones teaches courses in Digital Business Strategy, Health IT & Analytics, and Information Systems for Management. His publications reflect interdisciplinary interests, bridging healthcare outcomes analysis with business strategy and information systems economics.

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +3 more

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

Avery E. BroderickView profile

Associate Professor

• Theoretical Astrophysics
• Black Hole Physics
• General Relativity
• +3 more

Avery E. Broderick is an Associate Professor in the Department of Physics & Astronomy at the University of Waterloo and an Associate Faculty Member at the Perimeter Institute for Theoretical Physics. His research focuses on theoretical astrophysics, particularly studying compact objects like black holes and testing general relativity through astronomical observations. He is a key member of the Event Horizon Telescope (EHT) collaboration, which produced the first direct images of black hole horizons in M87* and Sagittarius A*. Broderick’s work emphasizes relativistic astrophysical phenomena such as accretion flows, jet formation, and polarization signatures. He collaborates extensively with observational astronomers and computational physicists to model black hole environments using general relativistic magnetohydrodynamic simulations. His recent research includes analyzing EHT data to constrain black hole spin, test spacetime metrics, and study photon ring dynamics. He also explores next-generation EHT (ngEHT) capabilities for higher-resolution imaging and multi-wavelength studies. Broderick has delivered invited lectures globally, including at Harvard-Smithsonian CfA, MIT, and the Aspen Center for Physics, reflecting his leadership in the field. Broderick’s contributions span over 135 refereed publications and conference proceedings, with a focus on black hole astrophysics, VLBI techniques, and relativistic plasma physics. His work bridges theoretical predictions with observational data, advancing our understanding of extreme gravitational regimes in the universe.

Michelle ZhuView profile

Professor

• Parallel and Distributed Computing
• Big Data Analytics
• Cloud Computing
• +4 more

Dr. Michelle Zhu is a Professor and Associate Director for Faculty and Academic Affairs at the School of Computing, Montclair State University. She previously held roles as Associate Professor and Director of Undergraduate Programs at Southern Illinois University Carbondale. Dr. Zhu holds a Ph.D. in Computer Science from Louisiana State University and a B.S. in Biomedical Engineering from Zhejiang University. Her research focuses on parallel/distributed computing, big data analytics, and high-performance networking, supported by grants from NSF, DOE, and NVIDIA. She has authored over 150 peer-reviewed publications. Education: Ph.D., Computer Science, Louisiana State University (2005) M.Sc., Computer Science, Louisiana State University (2002) B.S., Biomedical Engineering, Zhejiang University (1996) Her research interests span parallel computing architectures, cloud workflow scheduling, and cybersecurity. She has led initiatives integrating computational thinking into STEM education and developed robotics-based learning tools. Her work has been funded through NSF grants such as the $1.1M "Assimilating Computational and Mathematical Thinking into Earth and Environmental Science" project (2017–2022). Dr. Zhu’s articles explore topics like blockchain-based cloud security, GPU-accelerated Gibbs sampling, and edge computing deployment strategies. She actively contributes to academic governance, serving on Montclair State’s Middle States accreditation committee and the University Academic Assessment Council. Key Grants: NSF MRI: Multimodal Collaborative Robot System (MCROS), $321,737 (2021–2024) DOE: Scalable Application Support Platform for E-Sciences, $389,398 (2009–2013) Service Roles: Curriculum Committee Chair, Computer Science Department Blue Ribbon Task Force for Gen Ed Redesign (2019–2020) She collaborates on robotics projects like MCROS and leads outreach efforts to engage pre-university communities in AI and robotics education.

David ToalView profile

Associate Professor

• Design optimisation & automation
• Machine learning & deep learning
• Computer aided design
• +3 more

Dr. David Toal is an Associate Professor at the University of Southampton, specializing in the application of machine learning techniques to aerospace system design optimization. His research focuses on automated geometry creation, prediction of simulation outputs, and fundamental machine learning advancements. He is affiliated with the Computational Engineering and Design Group and the Institute for Life Sciences. His teaching interests include engineering design methods, optimization, reliability, and CAD integration. He supervises multiple PhD students in areas such as aerodynamic geometry generation and structural design automation. Dr. Toal has led projects funded by the European Union and EPSRC, including E-Break (FP7) and equipment grants for advanced computational tools. His work emphasizes multidisciplinary collaboration, leveraging CAD systems and deep learning for applications in advanced aerial mobility and turbine optimization. Recent publications highlight advancements in Kriging models, adversarial auto-encoders, and semantic segmentation for engineering design. Dr. Toal's research bridges computational methods with practical aerospace challenges, aiming to accelerate design processes through data-driven and AI-enhanced approaches.

Alvedi SabaniView profile

Senior Lecturer

• Artificial Intelligence
• Blockchain
• Cloud Computing
• +5 more

Dr. Alvedi Sabani is a Senior Lecturer and Program Manager at RMIT University's College of Business and Law, overseeing the Bachelor of Commerce program and leading the EdTech Project. He has held leadership roles including Program Manager for Graduate Certificates in Customer Success and Product Management, and Industry Engagement Director for MBA programs. His research focuses on digital transformation, inclusive technology adoption, and innovative pedagogy through gamification. He co-founded the RMIT GamifiED Hub, advancing learning technologies aligned with RMIT's strategic goals. His work bridges Information Systems and emerging technologies like AI, blockchain, and cloud computing, emphasizing multicultural inclusion in technology adoption. Research interests include AI applications, blockchain governance, and digital innovation leadership. He supervises projects on generative AI in education, digital healthcare transformation, and employer branding in the digital era. His teaching spans Executive MBA programs in areas such as Design Thinking and Technology Futures. He leads the Multicultural Inclusion theme at RMIT's Centre for Organisations and Social Change, addressing equitable technology integration. Key collaborations involve industry engagement for MBA programs and advisory roles. His work contributes to UN Sustainable Development Goals 8 (Economic Growth), 9 (Industry Innovation), 10 (Reduced Inequalities), and 17 (Partnerships). No formal awards are listed, but his contributions to EdTech and inclusive digital practices reflect impactful scholarly work.

Flora SalimView profile

Professor

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +5 more

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

Laura GalazzoView profile

Lecturer

• Biophysics
• Protein Dynamics
• Molecular Biophysics
• +3 more

Dr. Laura Galazzo is a Lecturer at the Department of Chemistry and Applied Biosciences, ETH Zurich, affiliated with the Institute of Molecular Physical Sciences (IMPS). Her research focuses on biophysical chemistry and molecular dynamics, employing advanced spectroscopic techniques like Electron Paramagnetic Resonance (EPR) to study protein structure, phase transitions, and membrane transport mechanisms. She investigates topics such as liquid-liquid phase separation in proteins, ABC transporter function, and nitroxide radical dynamics in aqueous environments. Dr. Galazzo also contributes to methodological advancements in pulsed dipolar spectroscopy and neural network applications in spectroscopic data analysis. Her work bridges theoretical and experimental approaches, combining computational methods (e.g., ab initio molecular dynamics) with experimental techniques to address complex biological systems. Key areas of study include protein aggregation, conformational changes in large complexes, and the interplay between solvent effects and biomolecular behavior. Recent research highlights include studies on mycobacterial iron uptake mechanisms and the structural dynamics of pro-apoptotic peptides. Dr. Galazzo’s publications reflect a strong emphasis on interdisciplinary approaches, integrating spectroscopy, computational modeling, and structural biology. Her contributions have advanced methodologies for distance measurements in biomolecules and provided insights into fundamental biological processes such as phase separation and membrane-mediated transport. She is actively engaged in promoting sustainable education through initiatives like the EquipSent project, aiming to enhance global access to scientific resources.

Clint StevensonView profile

Associate Professor

• Food Safety Education
• Instructional Design
• Virtual Reality in Education
• +3 more

Clint Stevenson is an Associate Professor and Distance Education Coordinator in the Department of Food, Bioprocessing and Nutrition Sciences at North Carolina State University. He manages an instructional design lab focused on creating and evaluating innovative educational tools for food safety and quality assurance training. B.S. in Food Science, University of Idaho (2005) M.S. in Food Science, Purdue University (2007) Ph.D. in Food Science, NC State University (2012) His research centers on applying virtual reality, 360-degree media, and e-learning modules to enhance food safety education. Projects are grounded in constructivist and behaviorist learning theories to improve workforce competencies in the food industry. Stevenson’s publications highlight his work in developing online courses, evaluating game-based learning, and analyzing workforce training needs. His lab’s outputs include interactive tools for sanitation auditing, environmental monitoring, and risk-based inspections. He coordinates and teaches the Food Safety Manager Certificate program through distance education and collaborates with organizations like the Food and Drug Administration, Innovation Center for U.S. Dairy, and USDA-NIFA on grants for educational technology development. The lab team includes instructional designers, graduate students, and alumni working on projects such as VR training for artisan cheesemakers and seafood processing sanitation. Partnerships extend to institutions like the University of Maine, University of Illinois, and DELTA (Distance Education and Learning Technologies Applications).

Emily LowthianView profile

Lecturer

• Education Policy
• Child and Adolescent Wellbeing
• Public Health
• +7 more

Dr. Emily Lowthian is a Lecturer in Education and Childhood Studies at Swansea University’s School of Social Sciences, Department of Education and Childhood Studies. She specializes in research addressing educational outcomes, child welfare, and public health policy with a focus on vulnerable populations. Her work integrates large-scale data linkage methodologies to analyze sociodemographic trends, special educational needs identification, and health behaviors among children and adolescents. Key research areas include the impacts of special needs identification on academic progression, vaccination uptake patterns during the pandemic, and the interplay between maternal mental health and child development. She contributes to policy discussions through the UK Young Academy, a network of early-career researchers addressing societal challenges. Dr. Lowthian’s interdisciplinary approach spans epidemiology, education policy, and social inequality studies, with publications in high-impact journals such as the International Journal of Population Data Science. Her recent projects include longitudinal analyses of Wales’ administrative health and education data, exploring ethnicity dynamics, child wellbeing trajectories, and the effects of EU tobacco regulations on youth behavior. Collaborations with national health organizations and policymakers ensure her research informs practical interventions in child welfare and public health systems.