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Amna MirzaView profile

Assistant Professor

• Language and Reading Development
• Learning Disabilities in English Language Learners (ELLs)
• Multilingual Literacy and Orthographies
• +3 more

Dr. Amna Mirza is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. Her research focuses on language and reading development, learning disabilities in English Language Learners (ELLs), and the impact of genetics on conditions like Dyslexia. She collaborates with institutions like Wilfrid Laurier University and Brock University on interventions for multilingual literacy improvement. Dr. Mirza also runs teacher training programs internationally, emphasizing literacy principles. She holds a PhD in Developmental Psychology from Wilfrid Laurier University and supervises graduate students at MA/PhD levels. Her office is located in Seton 579, and she can be reached at Amna.Mirza@MSVU.CA. Her work examines reading profiles in diverse orthographies (e.g., Urdu, English) and evaluates vocabulary-based interventions for ELLs. Current projects explore how enriched literacy programs affect 2nd/3rd graders with/without learning disabilities. She also investigates AI ethics, digital transformation, and Industry 4.0 implications across governance and climate change. Education: PhD in Developmental Psychology (Wilfrid Laurier University) Research Collaborations: Wilfrid Laurier University, Brock University International Projects: Teacher training programs on literacy principles Supervision: Accepting MA/PhD students in Education Dr. Mirza’s research bridges educational psychology and technological advancements, addressing both foundational learning challenges and societal impacts of digitalization. Her recent work spans AI-driven governance systems, circular economy opportunities, and ethical challenges in AI applications.

Daniel RothView profile

Professor

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +6 more

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Kyle SteinfeldView profile

Associate Professor

• Computational Design
• Design Computation
• Artificial Intelligence in Design
• +3 more

Kyle Steinfeld is an Associate Professor of Architecture and Director of the Master of Design program at the University of California, Berkeley, College of Environmental Design. His work bridges computational design methods and architectural practice, emphasizing critical engagement with software and data. He teaches design studios, visualization courses, and seminars in digital design theories. Master of Architecture, MIT (2004) Bachelor of Design in Architecture, University of Florida (1999) Steinfeld's research explores the intersection of architecture and computational design, focusing on bioclimatic information design, software development, and the social implications of digital tools. His creative work has been exhibited at NeurIPS workshops and published in Towards Data Science . He has received notable awards including the IDEA Studio Fellowship (2013), Hellman Fellowship (2012), and multiple research grants like the Faculty Research Grant for "Decod.es" (2013) and the Research Enabling Grant for "Dhour" (2011). Steinfeld has taught core architectural design courses and contributed to software development for design computation.

• Computational Creativity
• Human-Computer Interaction (HCI)
• Artificial Intelligence (AI)
• +3 more

Dr. Kazjon Grace is an Associate Professor in Computational Design at the University of Sydney’s School of Architecture, Design and Planning. He holds a prestigious Australian Research Council DECRA Fellowship and leads research on computational creativity, AI, and human-computer interaction (HCI). His work focuses on enabling AI systems to collaborate creatively with humans, modeling concepts like novelty, surprise, and curiosity to enhance design processes. He has secured over AU$2.5M in research grants, including DECRA funding. Grace’s research spans co-creative tools, affective computing, and AI-driven design systems, with applications in urban planning, robotics, and education. His academic background includes a strong focus on interdisciplinary research at the intersection of design, AI, and cognitive science. He teaches courses on designing with AI and information visualization. Grace’s work emphasizes ethical and human-centered approaches to AI, aiming to foster innovation through collaborative systems. He is affiliated with the Sydney Nano Institute and the Design Lab, fostering cross-disciplinary collaborations. Grace’s research outputs include over 50 peer-reviewed publications, with recent contributions to conferences like ACM/IEEE HRI and journals such as IEEE Transactions on Affective Computing. His DECRA-funded project explores how curiosity-driven systems can diversify creative behavior in design processes. He actively supervises PhD and master’s students in computational creativity and AI applications. Key awards include the ARC DECRA Fellowship (2017), recognizing his innovative work. His projects often bridge theory and practice, addressing societal challenges like sustainability and education through technological innovation.

Tom BrownView profile

Professor

• Nucleic Acid Chemistry
• CRISPR Technology
• Diagnostic Technologies
• +5 more

Tom Brown is a Professor of Nucleic Acid Chemistry at the University of Oxford's Department of Chemistry. His research focuses on designing and synthesizing chemically modified DNA and RNA for diagnostic and therapeutic applications, including CRISPR systems for genome editing. He has developed Scorpion primers and HyBeacons, used in personalized medicine and rapid forensic analysis. His work has led to the creation of biotech companies like ATDBio and Primer Design, contributing significantly to COVID-19 diagnostics. Research Interests: Brown's group explores nucleic acid modifications, DNA structure-function relationships, and the application of click chemistry for gene assembly. They use techniques like X-ray crystallography and NMR to study DNA interactions with repair enzymes and mutagenic lesions. Key Contributions: Contributions include rapid mutation identification methods, oligonucleotide delivery platforms, and spherical nucleic acids for stem cell isolation. His work bridges chemistry and medicine, with applications in diagnostics, therapeutics, and biotechnology. Awards: While no specific awards are listed, his impactful research has driven industry collaboration and innovation in nucleic acid-based technologies. Labs/Teams: Leads the Nucleic Acids Research Group and the Brown Group, focusing on interdisciplinary projects in chemistry, biology, and medicine.

• Geotechnical Engineering
• Computational Mechanics
• Soil Mechanics
• +4 more

James Doherty is an Associate Professor in the Department of Civil, Environmental and Mining Engineering at The University of Western Australia (UWA), affiliated with the UWA Oceans Institute. His work focuses on geotechnical engineering and cloud computing technologies, emphasizing automation of data interpretation and optimization of engineering design workflows. He leads research in numerical methods, soil-structure interaction, and offshore wind infrastructure, with over 80 peer-reviewed publications. Doherty founded the open-access geocalcs.com platform, serving 1,000+ users globally with engineering design tools derived from his research. He has developed cloud-based platforms for companies like Fugro, achieving significant computational efficiency gains. His expertise aligns with UN Sustainable Development Goals related to infrastructure and sustainable energy.

Masoud FakhimiView profile

Senior Lecturer

• Modelling and Simulation
• Sustainable Development
• Operations Research
• +4 more

Dr. Masoud Fakhimi is a Senior Lecturer in Operational Research at the University of Surrey's Surrey Business School, affiliated with the Surrey Institute for People-Centred AI, Institute for Sustainability, and Centre for Business Analytics in Practice. He holds a PhD, MSc, and BSc in relevant fields. His research focuses on hybrid modeling and simulation methodologies applied to healthcare, sustainability, supply chain management, and Industry 4.0. He has received awards for teaching excellence and doctoral supervision, notably Surrey Business School's 'Teacher of the Year' (2021) and 'Postgraduate Research Supervisor of the Year' (2022). His academic background includes degrees in operational research and analytics. Research interests span hybrid simulation frameworks, sustainable operations management, and data-driven decision-making in healthcare and renewable energy sectors. He collaborates with industry and academic stakeholders on projects addressing circular economy challenges and AI-driven solutions. Key publications include a Springer monograph on hybrid modeling and simulation (2024) and peer-reviewed articles on healthcare system analysis, machine learning applications in biomarker detection, and disruptive technologies in agriculture. His work emphasizes cross-disciplinary approaches to complex decision-making in dynamic environments. Masoud supervises doctoral students in hybrid modeling and simulation methodologies, particularly in healthcare contexts. He actively contributes to research centers focused on AI ethics, sustainability, and business analytics innovation.

Alexandra ChassanoffView profile

Assistant Professor

• Digital Curation
• Digital Preservation
• Archives and Records Management
• +3 more

Dr. Alexandra Chassanoff is an Assistant Professor at the University of North Carolina at Chapel Hill's School of Information and Library Science (SILS). Her research focuses on born-digital cultural heritage, digital curation, and community-driven preservation strategies. She holds a PhD in Information Science from UNC Chapel Hill and previously served as a DLF/CLIR postdoctoral fellow in Software Curation at MIT. Education: BA, Brandeis University MS in Information Science, UNC Chapel Hill PhD in Information Science, UNC Chapel Hill Research Interests: Chassanoff explores digital preservation workflows, software curation in academic libraries, and the intersection of cultural heritage with emerging technologies. Her work emphasizes collaborative frameworks for ensuring long-term accessibility of digital materials, particularly through projects like the OSSArcFlow Guide and the BitCurator initiative. Awards: 2021 Society of American Archivists Preservation Publication of the Year for The OSSArcFlow Guide to Documenting Born-Digital Workflow Professional Contributions: She has led workshops on digital preservation pedagogy and contributed to initiatives like the DLF Born Digital Access Working Group. Her scholarship bridges technical preservation practices with community engagement strategies in cultural heritage institutions.

Jayanth RaghothamaView profile

Associate Professor

• Healthcare Informatics
• Complex Systems Modeling
• Simulation and Gaming in Policy Design
• +3 more

Jayanth Raghothama is an Associate Professor at KTH Royal Institute of Technology, affiliated with the School of Computer Science and Communication (CBH) and the Digital Futures Faculty. He is part of the Division of Health Informatics and Logistics, focusing on healthcare systems, complex systems modeling, and simulation-based decision-making. His academic role includes co-leading the Digitalization Platform and serving as a Vice-Director. Education: PhD in Complex Systems from KTH (2017). Prior experience includes software industry roles and work with a think tank in Bangalore. Research Interests: Healthcare logistics, complex systems analysis, participatory simulations, AI/ML ethics, and the philosophy of games and simulations. His work bridges computational models with real-world applications in healthcare, urban planning, and disaster management. Recent Projects: Co-Principal Investigator of the 'Data-driven Improvement of Work-Flows at the Karolinska University Hospital' project. Active in AI-based colorectal cancer detection in primary care (AIDCCIP project). Teaching: Courses on Applied Machine Learning, Simulation Methods, and Healthcare Logistics at Bachelor, Master, and PhD levels. Modules include AI/ML ethics and Agent-Based Modeling. Publications: Over 20 peer-reviewed articles focusing on healthcare simulation models, real-world data analysis in oncology, and hybrid modeling techniques. Notable works include patient flow optimization algorithms and frameworks for risk stratification in lung cancer studies.

Ruzanna Abd RahmanView profile

Assistant Professor

• Building Information Modelling (BIM)
• Digital Construction
• Contract Management
• +3 more

Ruzanna Abd Rahman is an Assistant Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society. With 12+ years of experience as a Quantity Surveyor registered with the Board of Quantity Surveying Malaysia and Royal Institution of Surveyors Malaysia, she specializes in construction industry innovation. Her research focuses on Building Information Modelling (BIM), digital construction methodologies, contract management, and Big Data analytics. She is actively involved in advancing industry practices through technology integration. Research Interests: BIM implementation challenges and applications Contract management optimization Big Data-driven decision-making in construction Malaysian construction industry regulations Recent Work: Her articles address contractor-subcontractor payment dynamics, BIM contract applications, and pre-construction communication. She emphasizes sustainable development goals related to infrastructure efficiency and industry modernization. Professional Activities: Participated in the 2023 International Conference on Engineering Research and Application, reviewed for the International Journal of Sustainable Construction Engineering and Technology , and completed Glodon TASC/TRBC training on cost management tools.

Philip JacksonView profile

Professor

• Machine Audition
• Audio-Visual Machine Learning
• Spatial Audio
• +9 more

Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.

Michael KingView profile

Professor

• Reservoir Engineering
• Unconventional Reservoirs
• Flow Simulation
• +3 more

Michael King is a Professor of Petroleum Engineering and holds the LeSuer Chair in Reservoir Management at Texas A&M University. He is also affiliated with the Multidisciplinary Engineering program. His research focuses on 3D reservoir modeling, unconventional reservoir characterization, and advanced simulation techniques for flow dynamics. Education: Ph.D. in Physics (Syracuse University, 1980), M.S. in Physics (Syracuse University, 1977), B.S. in Physics and Mathematics (The Cooper Union, 1976). Research Interests: His work emphasizes reservoir upscaling, streamline-based simulation, pressure transient analysis, and geomechanical modeling for CO2 storage. Recent work explores machine learning integration with reservoir workflows and multiscale modeling for complex reservoirs. Publications: Over 100 peer-reviewed articles since 2005, with recent focus on fast marching methods, diffusive time of flight, and multi-scale simulation frameworks. Topical trends include unconventional reservoir analysis, CO2 sequestration, and shale gas production optimization. Awards: Distinguished SPE Member (2013), Foundation CMG Chair (2013–2019), Teaching Excellence Award (2014) Labs/Teams: Leads reservoir simulation research group focused on unconventional reservoir characterization and numerical method development Grants/Funding: Extensive funding history from industry partnerships and government grants for reservoir modeling R&D

Sarah MillsView profile

Lecturer

• Health Data Science
• Out-of-Hours Care
• Multimorbidity
• +4 more

Dr. Sarah Mills is a Lecturer in Academic General Practice at the University of St Andrews School of Medicine. Her research employs health data science to study out-of-hours care, multimorbidity, and primary palliative care. Dr. Mills holds a PhD from the University of Dundee and medical degrees from the University of Cambridge and St Andrews. She collaborates with NHS Fife as a GP Partner and co-chairs the British Medical Association's Women in Academic Medicine initiative. Her research analyzes unscheduled care patterns, multimorbidity management, and late-stage cancer diagnosis barriers. She leads studies on point-of-care testing and palliative prescription trends. Dr. Mills supervises PhD students in multimorbidity and healthcare delivery. She focuses on integrating data-driven approaches into clinical practice.

Jytte BrenderView profile

Adjunct Professor

• Medical Informatics
• Health Informatics
• Artificial Intelligence in Healthcare
• +8 more

Jytte Brender is an Adjunct Professor in the Department of Health Science and Technology at Aalborg University, Faculty of Medicine, Denmark. Her work bridges medical informatics, health information technology, and clinical decision-making, with a strong emphasis on evaluation methodologies. She has contributed to national and international research projects focused on patient safety, laboratory information systems, and AI in healthcare. University: Aalborg University School: Faculty of Medicine Department: Department of Health Science and Technology Academic Rank: Adjunct Professor Email: jmn@hst.aau.dk Her research interests include medical and health informatics, artificial intelligence in clinical settings, clinical decision support systems, evaluation of health IT, patient safety, and theoretical frameworks such as the Mereon Matrix. She has also explored applications in human molecular genetics through theoretical modeling. The recent publications (2023–2024) highlight a growing focus on the evaluation and ethical implementation of AI in clinical decision-making, emphasizing the need for robust frameworks and avoiding redundant evaluation cycles. Her work spans journal articles, book chapters, and conference proceedings, often in collaboration with leading figures in medical informatics. Scientific Contributions: Key contributor to the PSIP project on patient safety in medication. Active in LIS and laboratory system development and assessment. Prominent voice in AI evaluation in healthcare, cited in policy and news outlets. She has advised on health IT evaluation frameworks and participated in multi-institutional research. While no formal students are listed, her collaborative work suggests mentorship and advisory roles. She is not retired or deceased, and her adjunct status suggests a continued but possibly part-time or affiliated academic role.

• Natural Language Processing
• Educational Technology
• Text Mining
• +4 more

Dr. Thushari Atapattu is a Grant-Funded Researcher (A) and Post-doctoral Research Fellow in the School of Computer and Mathematical Sciences at the University of Adelaide . She leads the Learning Technology for Social Good (LT4SG) research group and contributes to the Computer Science Education Research Group . Her research focuses on text mining , natural language processing (NLP) , and discourse analysis , with applications in educational technology and social good initiatives. Her work addresses challenges such as combating cyberbullying via linguistic fingerprints, modeling mental health through social media data, and analyzing discourse patterns in Massive Open Online Courses (MOOCs). Key projects include: Developing computational models to improve communication processes in education and healthcare. Exploring teachers' academic discourse impact on MOOC video engagement. Creating emotion-annotated mental health corpora and frameworks for detecting learner confusion in online platforms. Dr. Atapattu is eligible to supervise Masters and PhD candidates, focusing on interdisciplinary topics at the intersection of NLP, education, and social impact. Her research group, LT4SG, emphasizes leveraging technology for community-driven solutions.