Dr. Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire, UK. She holds a PhD in Perceptual Robotics from Scuola Superiore Sant'Anna (Italy) and a master's in Mechatronics from University Technology Malaysia. Her career spans academia and industry, with roles at institutions like Technical University of Munich and NavVis GmbH, as well as industry projects such as the Innovate UK-funded AgriRobot. Her research focuses on Human-Robot Interaction (HRI) , Explainable Robotics , Assistive Robotics , and autonomous systems . Key projects include DOC (navigation aid for visually impaired individuals) and AgriRobot (precision agricultural robotics). She has expertise in activity recognition via smartphone sensors, navigation systems, and social robotics interfaces. Publications (2012–2025) emphasize explainable AI in robotics, feature selection for activity recognition, and social behavior interpretation. Her work bridges theoretical robotics with real-world applications in healthcare, agriculture, and accessibility. No awards are explicitly listed, but her extensive collaboration network (Italy, Germany, UK) reflects interdisciplinary impact. She advises on robotics projects and has contributed to both academic journals and industry collaborations.
Dr. He Li is an Assistant Professor at the University of Georgia, specializing in computational biomedical engineering. His research focuses on developing AI-driven multiscale models to bridge microscopic and macroscopic biological processes, with applications in disease modeling, medical imaging, and healthcare innovation. He leads the Computational Biomedical Engineering Lab, exploring interdisciplinary solutions in biomedical science using advanced computational methods. His work integrates physics-based modeling (e.g., molecular dynamics, spectral element methods) with AI techniques to assimilate diverse biological data sources. Recent research emphasizes predictive AI models for digital health, including radiology analysis, proton therapy optimization, and Alzheimer’s disease infodemiology. He has published extensively on large language models (LLMs) tailored for medical domains like radiology, oncology, and ophthalmology, addressing challenges in specialized clinical NLP tasks. Key contributions include frameworks like Radiology-GPT and AD-Autogpt, which advance AI applications in diagnostics and disease surveillance. His lab collaborates across disciplines to enhance clinical decision-making through AGI (Artificial General Intelligence) and multimodal data fusion. No awards or grants are explicitly listed in the provided texts. Labs/Teams: Computational Biomedical Engineering Lab @ UGA focuses on AI-driven biomedical innovation, with projects spanning medical imaging, disease modeling, and healthcare technology development.
Claudio Fazio is a Full Professor in the Department of Physics and Chemistry at the University of Palermo. His academic focus lies in physics education research, particularly in innovative teaching methodologies, active learning strategies, and overcoming student misconceptions in physics. He actively engages in designing inquiry-based learning experiences and leveraging technology (e.g., smartphones, AR/VR, simulations) for effective STEM education. Research interests include conceptual understanding in mechanics, thermodynamics, and relativity, with a strong emphasis on pedagogical tools like cluster analysis to evaluate student reasoning patterns. He has pioneered low-cost experimental setups and open-inquiry approaches to enhance learning outcomes, especially in engineering and teacher training programs. Professor Fazio’s work addresses challenges in remote education, pandemic-era pedagogy, and integrating contemporary technologies (e.g., Moodle, MATLAB) into curricula. His contributions span K-12 teacher preparation through university-level educational innovation, emphasizing interdisciplinary collaboration and evidence-based practices.
Scott Carson is an Associate Professor in the Department of Philosophy at Ohio University's College of Arts and Sciences, where he also serves as Chair. He is a participating faculty member in the Ohio Center for Ecology and Evolutionary Studies (OCEES) and a faculty associate in The George Washington Forum on American Ideas, Politics, and Institutions, reflecting his interdisciplinary engagement across philosophy, biology, and the humanities. Education: Ph.D., Philosophy, Duke University (1996) Ph.D., Classical Philology, University of North Carolina at Chapel Hill (1986) M.A., Roman History, University of North Carolina at Chapel Hill (1981) B.A., Kent State University (1978) His research centers on Ancient and Medieval Philosophy, Philosophy of Biology, and Analytic Philosophical Theology. He investigates Aristotle’s logic and epistemology, the structure of evolutionary theory, mechanistic explanation in science, and the role of indeterminacy in scientific theories. His work bridges classical philosophy with contemporary scientific thought, particularly in evolutionary biology and biomedical sciences. He is currently working on two book manuscripts: Aristotle’s Scientific Realism and Explaining Nature and the Nature of Explanation: A History of Philosophical and Scientific Naturalism . His recent publications reflect a deep engagement with both historical and analytical philosophy, spanning topics from Aristotelian semantics to the metaphysical foundations of evolutionary theory. These works show a consistent focus on logical rigor, scientific methodology, and the philosophical implications of biological theories. His interdisciplinary approach integrates philology, logic, and philosophy of science. Scott Carson has no listed scientific awards in the provided text. He advises students in philosophy, particularly in ancient and medieval thought and philosophy of science, though specific advisees are not named. His teaching includes courses such as Ancient Greek Philosophy, Medieval and Renaissance Philosophy, Plato, and Philosophy of Biology. He is involved in research grants and collaborative projects through OCEES and the George Washington Forum, supporting interdisciplinary scholarship. He has contributed to digital humanities through early computational tools for Greek language and classical texts. He is affiliated with the Ohio Center for Ecology and Evolutionary Studies (OCEES), which supports research integrating ecological and evolutionary perspectives across disciplines. His work in the George Washington Forum extends his inquiry into the philosophical and political foundations of American institutions, linking historical and contemporary thought.
Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.
William Brown is an Associate Adjunct Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. He is affiliated with multiple research centers, including the Center for AIDS Prevention Studies, the Division of Prevention Science, and the Bakar Computational Health Science Institute. His work bridges biomedical informatics and HIV clinical and behavioral research, with a strong emphasis on health equity and community engagement. His research interests include: Biomedical Informatics and Clinical Research Informatics mHealth and New Media for HIV prevention and treatment Semantic Harmonization and Data Integration Community-Based Participatory Research (CBPR) Social Determinants of Health and Health Disparities Natural Language Processing in EHRs His recent publications (2020–2025) reflect a consistent focus on leveraging digital health tools—particularly SMS, telehealth, and secure messaging—to improve chronic disease management, HIV prevention, and health equity in underserved populations. He frequently employs mixed-methods approaches and is deeply involved in the design and evaluation of patient-centered technologies. His scientific awards include: AMIA Annual Symposium Paper Competition (2nd Place, 2016) NIMH Loan Repayment Program Award (2012, renewed 2015) Academic Grant Award, Russell M. Grossman Endowment (2010) Kaiser Foundation Academic Grant Award (2009) Brown has been a Principal Investigator on NIH-funded studies related to opioid use disorder risk assessment using NLP, HIV self-testing, and secure messaging in diabetes care. He has also served as Co-Investigator on major grants focused on chronic disease disparities and learning health systems. His research often involves collaboration with community organizations and vulnerable populations, including African American, Latino, and LGBT communities. He leads the CODE Lab (Clinical and Observational Data Excellence) and has contributed significantly to the development of tools for data visualization, semantic harmonization, and patient engagement in research.
Mubbasir Kapadia is an Associate Professor in the Department of Computer Science at Rutgers University, affiliated with the School of Arts and Sciences. His research focuses on autonomous virtual humans, crowd simulation, and digital storytelling. Grants: NSF SA&S, DARPA SocialSim, NSF CHS Projects: Human-Building Interaction, NUCLEUM Kapadia’s work combines artificial intelligence , visual computing , and human-computer interaction to develop intelligent systems for crowd modeling, interactive narratives, and architectural design optimization. He has published in venues like European Conference on Computer Vision and Computers and Graphics , emphasizing applications in urban planning and disaster simulation. Scientific Awards: NSF SA&S Grant DARPA SocialSim Grant NSF CHS Grant Kapadia contributes to crowd-aware computer-aided design and interactive storytelling tools , with his research group Intelligent Systems driving innovations in virtual environments.
Dr. Mia McLanders serves as an Adjunct Lecturer in the School of Psychology at the University of Queensland, where she bridges psychological science with clinical healthcare improvement through human factors engineering and simulation-based methodologies. Her work directly impacts neonatal resuscitation protocols, trauma care systems, and medical device design for high-acuity environments. She completed her PhD at the University of Queensland in 2018 with the thesis "Developing the NeoReady TM : a systems approach to supporting teams during neonatal resuscitation", establishing her focus on systems-level interventions in emergency care. Dr. McLanders' research centers on human factors in healthcare , emphasizing medical simulation , neonatal resuscitation , and trauma care systems . Her methodology integrates cognitive task analysis, teamwork observation, and technology evaluation to address critical gaps in clinical workflows. Key contributions include designing cognitive aids for resuscitation teams and developing vibrotactile monitoring systems that reduce cognitive load during emergencies. Analysis of her publication trajectory reveals consistent interdisciplinary collaboration across medicine and psychology, with recent work (2024) prioritizing scalable solutions for rural healthcare barriers and standardized neonatal training. Her studies uniquely combine laboratory validation with real-world clinical implementation, particularly through the Queensland Trauma Education (QTE) program. No scientific awards or fellowships are documented in available materials. While no graduate student supervision is indicated, her collaborative network spans anesthesiology, emergency medicine, and human factors research groups. Current projects appear focused on expanding telehealth-supported trauma care and refining the NeoReady TM system for broader clinical adoption. Her research is operationally linked to the Queensland Trauma Education initiative and neonatal resuscitation improvement programs, involving multidisciplinary teams of psychologists, clinicians, and biomedical engineers working within University of Queensland-affiliated healthcare simulation frameworks.
Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.
Christopher Pal is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a Ph.D. from the University of Waterloo, he has held academic positions at the University of Rochester and the University of Toronto, and industry roles at Interval Research and Microsoft Research's Interactive Visual Media Group. Fields of Expertise: Artificial Intelligence, Computer Vision, Pattern Recognition, Machine Learning, and Natural Language Processing Affiliations: CIFAR Chair in Artificial Intelligence, Institute for Data Valorization (IVADO) Member His research focuses on deep learning applications in visual question answering , medical image segmentation , and generative models . Recent work involves multimodal data analysis for climate modeling and vision-language systems for code generation. Key projects include CarbonSense for climate flux modeling and GeoCoder for geometry problem-solving AI. His 15 most recent publications (2023-2025) span topics from diffusion models to multi-agent systems , with emphasis on video generation , 3D animation , and environmental applications . Scientific recognition includes: CIFAR Chair in Artificial Intelligence IVADO Institute Membership Top-2% cited researcher (2021) He has supervised 22 Ph.D. and Master's students, with recent graduates working on generative AI , reinforcement learning , and medical imaging . Current research grants include MITACS-funded projects in software engineering agents and drone imagery analysis for tropical forest conservation.
Claudio Fornaro is a Lecturer and teaching assistant at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He has been actively involved in Technological Innovation Engineering doctoral colleges and teaches courses in Computer Science and Aerospace Engineering since 2019/2020. His work focuses on programming education, particularly in C89, and educational technology. University: Politecnico di Torino Department: Department of Control and Computer Science (DAUIN) Affiliated Schools: School of Engineering Academic Rank: Lecturer Research & Publications Key Research Areas: Educational technology, 3D modeling, software development for learning, and programming languages (C89). Recent Work: In 2022, he co-authored an article in IEEE Transactions on Learning Technologies about an integrated framework to support design students in 3D modeling. Labs & Groups Member of the TORSEC - Security Group (DAUIN) at Politecnico di Torino.
Jason Anquandah is a Lecturer in Statistics and Data Analytics at the Faculty of Arts, Creative Industries, and Education (ACE) at the University of the West of England (UWE Bristol). He holds a Ph.D. in Statistics from the University of Leeds, an MRes in Mathematical Modelling, and MSc in Mathematical Science, with a first degree in Actuarial Science. His academic focus spans statistics, data science, and applied mathematical fields. Ph.D. in Statistics, University of Leeds MRes in Mathematical Modelling MSc in Mathematical Science BSc in Actuarial Science His research expertise encompasses Probability and Statistics , Stochastic Control Theory , Mathematical Finance , Actuarial Science , and Machine Learning . He applies these to areas such as Survival Analysis , Insurance , and Labour Markets . His recent publications highlight interdisciplinary work in health informatics , telemedicine , and social determinants of well-being , leveraging statistical methods for public health and behavioral research. His publications demonstrate a focus on applied statistical modeling , health interventions , and data-driven policy analysis . Key trends include: Use of video games to address body image in youth Analysis of telemedicine adoption during the Covid-19 pandemic Studies on health disparities among adolescent mothers in South Africa Application of systematic reviews to assess psychosocial outcomes in medical contexts Jason serves as a member of the Eurofound Advisory Committee (CEI expert in quality of life and public service) and the Institute and Faculty of Actuaries . His work bridges quantitative analysis with real-world applications in health and social sciences.
Andrea Tigrini serves as a Researcher in the Department of Information Engineering at Marche Polytechnic University's School of Engineering in Ancona, Italy. His scientific sector is Bioengineering (IBIO-01/A), with research spanning biomedical signal processing and human motion analysis. Dr. Tigrini's research interests focus on the intersection of biomedical engineering and machine learning, particularly in developing innovative approaches for human motion analysis through electromyography (EMG) and inertial sensing. His work emphasizes creating minimal-sensor solutions for practical applications in rehabilitation technologies, gait analysis, and assistive devices. He investigates neuromuscular control mechanisms during various activities including walking, balance maintenance, and hand gestures. Analysis of his recent publications (2023-2025) reveals a strong trend toward developing accessible diagnostic and assistive technologies using machine learning approaches. His research consistently addresses real-world challenges in diabetic neuropathy detection, prosthetic control, and rehabilitation monitoring, with particular emphasis on creating solutions that require minimal sensor setups to enhance practicality and adoption in clinical settings. His work demonstrates significant contributions to understanding the relationship between neuromuscular signals and movement patterns, with applications spanning rehabilitation engineering, human-computer interaction, and clinical diagnostics. The interdisciplinary nature of his research bridges engineering principles with physiological understanding to create practical healthcare solutions.
Timo Kretschmer M.A. is a Lecturer at HTWK Leipzig's Faculty of Architecture and Social Sciences, specializing in Building Information Modeling (BIM), computer-aided design, and architectural animation. He has been affiliated with the university since 2004, initially working in the Faculty of Civil Engineering before moving to the Faculty of Architecture and Social Sciences in 2014. As Webmaster of the IT organization and Member of the Faculty Council, he plays a significant role in the university's digital infrastructure. His research focuses on BIM implementation, digital building applications, and virtual construction monitoring. He has been involved in significant projects including the cooperative doctoral procedure with Leipzig University on the reconstruction of Max Klinger's 'Christus im Olymp' and the Saxon Ministry of Justice's model project (2007-2008). His current research (2023-2025) continues to advance digital methods in architectural practice. Kretschmer's publications and presentations demonstrate a clear trajectory from foundational BIM concepts to advanced implementation strategies. His 2024 handbook 'BIMcert Handbuch Grundlagenwissen openBIM' represents the culmination of his expertise, while his earlier works from 2004-2015 established his contributions to architectural history and education. His conference presentations since 2015 show increasing specialization in BIM competence development, data security, and interdisciplinary applications. Chairman of DIN NA 005-13-05 AA 'Professional Competence' Spokesperson for buildingSMART eV Specialist Group 'Certification' Member of buildingSMART International PCert Sub-Committee Member of CEN/TC 442/WG8 'Competence' Founding member of buildingSMART eV Regional Groups in Saxony and Central Germany As an active participant in professional organizations, Kretschmer contributes significantly to standardizing BIM competence frameworks. His work with the Saxony Chamber of Architects on the 'Digital Building Application' working group demonstrates his commitment to bridging academic research and professional practice. His jury work for the BIM Champions awards (2021-2025) further establishes his authority in the field. The IT infrastructure he helps maintain, including the BIMcloud system, supports numerous architectural design projects across the faculty.
Manfredo Atzori serves as Associate Professor at the Department of Neuroscience, University of Padova, and has been a research scientist at the Institute of Information Systems of the University of Applied Sciences Western Switzerland (HES-SO Valais) since 2011. Education M.Sc. in Physics, University of Padova, 2006 Ph.D. in Bioengineering, University of Padova, 2009 Research Focus Dr. Atzori pioneers machine learning applications for biomedical multimodal data analysis. His work spans convolutional neural networks for surface electromyography (a field he helped establish globally in 2015), computer-aided cancer diagnosis in biopsies, and 3D-printed robotic prosthetic hands controlled via machine learning. He leads the Horizon 2020 ExaMode project for weakly-supervised knowledge discovery in digital pathology, integrating text and image analysis for medical diagnostics. Research Leadership As Scientific Coordinator of the Horizon 2020 ExaMode project (2019-present), he manages a seven-partner consortium advancing multimodal medical data analysis. He previously coordinated the Hasler Foundation's ProHand project for 3D-printed prosthetics and led the MeganePro Project (2016-2019), which investigated eye-hand coordination in robotic prostheses and neurocognitive effects of amputations using multimodal datasets. Since 2011, he has curated the Ninapro database—a globally utilized resource with thousands of users for robotic hand prosthesis research. Professional Recognition With over 80 peer-reviewed publications exceeding 2,000 citations, Dr. Atzori frequently presents as an invited speaker at international conferences. He serves on the editorial board of Scientific Data (Nature Publishing Group), reflecting his standing in computational biomedical research.
