جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Digital Health
• +۴ مورد دیگر

Diogo Martinho is an Adjunct Professor at the Instituto Superior de Engenharia do Porto, part of Instituto Politécnico do Porto, where he teaches in the BSc in Informatics Engineering, MSc in Artificial Intelligence Engineering, and MSc in Biomedic Engineering programs. He is an integrated member of the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD). He obtained his PhD in Informatics Engineering (2023) from Universidad de Salamanca, MSc in Informatics Engineering (2015), and BSc in Informatics Engineering (2013) from Instituto Politécnico do Porto. His research focuses on Artificial Intelligence applications in healthcare and industry , with emphasis on personalized elderly care, chronic disease management, and collaborative decision systems. Core domains include: Multi-agent systems for health coaching Gamified behavioral interventions Ubiquitous decision support frameworks Machine learning for clinical classification His publications demonstrate strong emphasis on hybrid AI approaches combining cognitive agents, argumentation systems, and behavioral modeling. Recent work prioritizes practical implementations in diabetes management, respiratory health, and elderly wellbeing. Awards and honors include: Two PAPRE2024 grants for high-impact publications Best Paper Award (2022) Scientific Excellence Award (2015) Academic Merit Scholarship (2014) He has supervised/co-supervised 1 PhD thesis, 8 MSc dissertations, and 13 BSc projects. As Principal Investigator for EXPAI and ELFMo projects, and researcher in 11 international initiatives (e.g., FoodFriend, AIRDOC, PHE), he secured funding from ITEA, EU Horizon 2020, and Erasmus+. He coordinates GECAD's healthcare AI research and chairs the AItHeC conference session.

• Airside Operations
• Airport Management
• Ground Support Equipment
• +۵ مورد دیگر

Erlangga Sunaryo is a Lecturer and Researcher specializing in Aviation Management at the Faculty of Technology (FT). His work bridges academic research with practical applications in airport operations and sustainability. Affiliation: Faculty of Technology Role: Lecturer and Researcher His research focuses on airside operations, airport automation, and autonomous ground support equipment. Key areas include sustainable aviation practices, business model innovation, and health risk assessment in airport environments. Airport Apron Automation Autonomous Electric Vehicles Fourth Industrial Revolution Technologies Business Model Innovation Health Risk & Emissions Analysis From 2024-2025, his publications highlight trends in airport automation, emphasizing autonomous vehicles and systematic literature reviews. Collaborations with researchers like Zuniga Alcaraz and Basaria indicate interdisciplinary work in aviation technology and operational strategy. Notable research themes include: Delphi-based scenario analysis , airside operation benchmarking , and autonomous ground support equipment integration. These studies align with global efforts toward sustainable and efficient airport operations. Key collaborations and external engagements reflect a focus on practical implementation of autonomous systems in aviation. His work contributes to benchmarking frameworks and business model development for next-generation airside operations.

• Consumer Health Informatics
• Mobile Health (mHealth)
• HIV Prevention
• +۴ مورد دیگر

Rebecca Schnall is the Mary Dickey Lindsay Professor of Disease Prevention and Health Promotion (in Nursing) and Professor of Population and Family Health at Columbia University School of Nursing . She serves as Associate Dean for Faculty Development and leads a program in consumer health informatics, focusing on HIV prevention and health promotion for underserved communities through mobile health (mHealth) technologies. Education: BA in History, Northwestern University (2002) MPH in Health Policy and Administration, University of Illinois at Chicago (2004) BSN, Pace University (2006) PhD in Nursing Informatics, Columbia University (2009) Her research emphasizes user-centered design of health technologies, addressing health disparities and patient engagement through mixed-methods studies. She has developed scales like Health-ITUES and mDiHERS to evaluate mHealth usability and health literacy equity. Recent publications highlight her work in digital health (2024), serious gaming for HIV prevention (2023), and older adults with HIV (2022). Her studies span health informatics , clinical decision support , and NLP for clinical research . Scientific Awards: 2025 Virginia K. Saba Nursing Informatics Leadership Award 2022 Fellow, International Academy of Health Sciences Informatics 2021 FACMI 2020 Welch/Woerner Path-Paver Award 2018 Fellow, American Academy of Nursing Multiple Dean’s and Columbia University awards She mentors emerging nursing researchers and collaborates with institutions like CTSA Clinical Research Core and NIH. Her work has been cited over 180 times, with media coverage in Politico and Nurse.com .

• Robotics
• Mechanical Engineering
• Mechanism Design
• +۳ مورد دیگر

Dr. Mathias Hüsing is an Adjunct Professor at the Institute of Mechanism Technology, Machine Dynamics and Robotics within the Faculty of Mechanical Engineering at RWTH Aachen University. His research focuses on robotics, compliant mechanism design, and energy-efficient mechanical systems, with applications in surgical manipulation, additive manufacturing, and human-robot interaction. Research Interests: Robotics (specifically compliant grippers, parallel kinematics, and hybrid robots) Energy-efficient mechanism design (cam systems, dynamic balancing) Smart manufacturing (digital tool chains, multidirectional additive manufacturing) Human-robot collaboration (inclusive workplaces, task adaptation) Sensor integration (calibration methods, non-contact safety systems) Algorithm development (motion planning, optimization techniques) Trends in Publications show a focus on surgical robotics, human-robot collaboration, and additive manufacturing. His work combines mechanism theory with practical implementation, emphasizing industrial applications and energy efficiency. Institute Affiliation includes leadership roles at the Institute of Mechanism Technology, Machine Dynamics and Robotics. He actively develops educational tools like the Software Mechanism Developer and integrates robotics into Industry 4.0 frameworks.

• Production Engineering
• Circular Economy
• Factory Planning
• +۴ مورد دیگر

Michael Riesener serves as Associate Professor at RWTH Aachen University and Managing Director of RWTH Innovation GmbH, while leading the Deep Tech Innovation research area and participating in the Rectorate Commission for Translation. His interdisciplinary work bridges academic research with industrial technology transfer in production systems and sustainable manufacturing. His research focuses on circular economy integration, factory planning automation, and sustainable business model innovation. Key interests include developing frameworks for circular production structures, scalable factory concepts for green hydrogen, and digital shadow applications for manufacturing reconfiguration. His work emphasizes data-driven approaches to reduce environmental impact while maintaining economic viability in global production networks. Recent publications (2024-2025) reveal strong trends in systematic literature reviews on circular production costs and structures, machine learning applications in quality control, and strategic frameworks for sustainable factory planning. His interdisciplinary approach connects engineering principles with environmental science and business strategy, particularly in electrolyzer manufacturing scaling and subscription-based sustainability models. Scientific Awards: No awards explicitly mentioned in source materials Advising and grants activities are not detailed in provided texts, though his leadership roles at RWTH Innovation GmbH suggest significant involvement in technology transfer initiatives and industry-academia collaboration projects. As Managing Director, he oversees funding mechanisms supporting deep tech commercialization, but specific grant awards or student supervision details remain undisclosed. Labs and Teams: He actively contributes to the Smart Logistics Cluster and Prolog-HCIC research group at RWTH Aachen, focusing on logistics optimization, digital factory planning, and circular production system development. These teams develop practical frameworks for scalable production systems and sustainable business models through close industry partnerships.

Daniel Sanchez Morilloمشاهده پروفایل

استاد

• Biomedical Engineering
• Artificial Intelligence
• Signal Processing
• +۳ مورد دیگر

Daniel Sanchez Morillo serves as Full Professor at the University of Cádiz within the School of Engineering and Department of Automation, Electronics, Architecture and Computer Networks Engineering. He leads the Bioengineering, Automation, and Robotics (TIC212) research group at UCA and co-directs the Biomedical Engineering and Telemedicine (IBT) group at the Institute for Research and Innovation in Biomedical Sciences (INiBICA). Education PhD in Telecommunications Engineering, University of Cádiz (2008). Thesis: "Processing and transmission of biomedical signals for the diagnosis of sleep disorders and diseases" supervised by Dr. Juan Luis Rojas Ojeda Research Focus Dr. Morillo's work centers on biomedical engineering and artificial intelligence applications in healthcare, with particular expertise in signal processing for physiological monitoring and image analysis for medical diagnostics. His research spans: Development of AI-driven diagnostic tools for respiratory diseases Robotics and haptic systems for rehabilitation Environmental monitoring solutions for chronic conditions Biomedical signal processing for sleep disorder analysis Publication Trends Recent work (2024-2025) demonstrates a strategic shift toward deep learning applications in occupational lung disease screening and sensor-integrated rehabilitation devices . Key trends include the fusion of virtual reality with physiological monitoring, AI-enhanced medical imaging for silicosis detection, and innovative approaches to gait analysis using wearable technology. Research Leadership As leader of the TIC212 group and co-director of the IBT group, Dr. Morillo oversees interdisciplinary projects bridging engineering and clinical medicine. His teams develop cutting-edge solutions including smart orthoses with haptic feedback, automated cough detection systems, and virtual reality rehabilitation environments, fostering collaboration between engineers, clinicians, and industry partners.

Ileana De Anda-Duranمشاهده پروفایل

استادیار

• Cardiovascular Epidemiology
• Brain Health
• Cognitive Aging
• +۴ مورد دیگر

Ileana De Anda-Duran, MD, MPH is an Assistant Professor in the Epidemiology Department at Tulane University School of Public Health and Tropical Medicine. She is a cardiovascular risk and brain health epidemiologist with a diverse training background including medicine from Universidad Autonoma de Baja California, Mexico (2016) and a Master's in Public Health and Epidemiology from Harvard T.H. Chan School of Public Health (2020). Dr. De Anda-Duran's research focuses on three main areas: Investigating cardiovascular pathways to healthy cognitive aging Utilizing decentralized technology-based approaches to overcome research barriers and generate advanced digital measures more sensitive than traditional metrics Developing precision-based strategies to identify individuals who benefit most from cardiovascular risk control Her scientific goal is to identify interventions that can impact brain health at the population level and reduce the disproportionate burden of dementia in racial and ethnic minorities. Her work has significant implications for understanding the connections between cardiovascular health and cognitive aging, particularly in underserved populations. Dr. De Anda-Duran has received several prestigious awards including: 2022 American Heart Association Research Leaders Academy 2022 NIA Butler Williams Scholar 2023 Alzheimer's Association Research Fellowship Her research spans multiple large-scale cohort studies including the Framingham Heart Study and the Bogalusa Heart Study, with a particular focus on digital health technologies for cognitive assessment and monitoring. She has established herself as an emerging leader in the intersection of cardiovascular epidemiology, digital health, and cognitive aging research.

Eirini Geraniouمشاهده پروفایل

استاد

• Digital Technologies for Mathematical Learning and Teaching
• Mathematical Digital Competencies
• Computational Thinking
• +۷ مورد دیگر

Professor Eirini Geraniou is a Professor of Mathematics Education at University College London's Institute of Education (IOE), specifically within the Curriculum, Pedagogy & Assessment department. She holds an ORCID identifier 0000-0002-6360-0316 and serves as the Departmental Enterprise and Innovation Lead since August 2022. Her academic journey spans teaching mathematics at secondary school and university levels, along with extensive work on research projects focused on digital tools for mathematics education. Education: Bachelor of Science in Mathematics from University of Crete Master of Science in Mathematics Education from University of Warwick Doctor of Philosophy in Mathematics Education from University of Warwick Qualified Teacher Status from Department for Education (2006) Professor Geraniou's research focuses on the intersection of mathematics education and digital technologies. Her work explores how computational thinking and mathematical thinking interact, the development of mathematical digital competencies for teaching, and the design of effective tasks that leverage technology to enhance mathematical learning. She has made significant contributions to understanding how students develop algebraic generalization through computer-based environments and how augmented reality can enhance spatial skills in geometry learning. Her research often examines the practical implementation of digital tools in real classroom settings, addressing both the potential and limitations of technology in mathematics education. Her recent publications reveal a strong trend toward examining the integration of AI and computational tools in mathematics education, with particular attention to mathematical modeling, assessment practices, and teacher competencies in the digital age. She has been instrumental in defining frameworks for mathematical digital competency and exploring the critical dimensions of technology use in mathematics classrooms. Scientific Awards: UCL Faculty Education Award (2021) UCL Provost Education Team Award shortlist (2021) HEA Senior Fellow (2020) Professor Geraniou actively supervises graduate students, currently guiding 5 PhD students and 1 EdD student, plus one completed MPhil in 2019. She has secured numerous research grants including projects funded by the Education Endowment Foundation, EU Horizon, Royal Society, and Novo Nordisk Foundation. Her leadership extends to significant collaborative projects such as "Transforming Education with Emerging Technologies" (EU Horizon, 2022-2025) and "Programming, computational thinking and mathematical digital competencies" (Novo Nordisk Foundation, 2020-2023). She also serves as an elected Board Member of the European Society for Research in Mathematics Education (ERME) since 2021. Professor Geraniou leads the Mathematics Education Group at UCL IOE and is actively involved with CambridgeMaths. Her work bridges research and practice, connecting with teachers through initiatives like the Teach First Programme where she served as Mathematics Subject Lead (2017-2022) and Subject Tutor (2011-2022). She has developed and led multiple MA modules including "Understanding Mathematics Education," "Mathematics for Teachers," and "Digital Technologies for Mathematical Learning."

Antonio Piccinnoمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-Centered Design
• End-User Development
• +۷ مورد دیگر

Antonio Piccinno is Associate Professor of Human-Computer Interaction (HCI) at the Department of Computer Science, University of Bari Aldo Moro (UNIBA). He is a founding member of the IVU (Interaction, Visualization, Usability & UX) Laboratory where he coordinates research on the interplay between Human-Computer Interaction and Software Engineering through End-User Development techniques. His research interests focus on Human-Centered Design (HCD), End-User Development (EUD), Adaptive Interfaces, Adaptive Multimedia and Multimodal Interaction, and more recently, Secure software analysis and design. He has extensively explored applications in smart home environments, cultural heritage, medical applications, and cybersecurity. Analysis of his recent publications (2022-2025) reveals a strong trend toward applying Human-Computer Interaction principles to emerging technologies. His work increasingly focuses on symbiotic AI systems, particularly in healthcare contexts, and cybersecurity applications where user behavior and interface design significantly impact security outcomes. He has also maintained a consistent research thread in End-User Development for IoT systems and smart environments. Prof. Piccinno has held significant organizational roles including Full Papers Co-Chair for INTERACT 2023 and 2021, and has served on program committees for numerous international conferences including INTERACT, AVI, and IS-EUD. He currently teaches Software Engineering for undergraduate Computer Science students and Cloud Computing for graduate students at UNIBA. Throughout his career, he has supervised approximately 70 bachelor's and master's theses and one PhD student, while also serving on numerous PhD evaluation committees. Prof. Piccinno is an Expert Member, WG Coordinator, and Websites Coordinator of the IFIP TC13 (International Federation for Information Processing Technical Committee on Human-Computer Interaction). He is also a member of ACM, IEEE, ACM SIGCHI, and SIGCHI Italy, demonstrating his active engagement with the international HCI community.

• Healthcare Management
• Digital Health Services
• Process Automation
• +۳ مورد دیگر

Paulus Mikael Torkki is a Visiting Professor at Aalto University's Department of Industrial Engineering and Management. His work bridges industrial engineering and healthcare management, focusing on process optimization, digital health services, and integrated care systems. Academic Rank: Visiting Professor University: Aalto University Department: Industrial Engineering and Management Research Interests : Torkki specializes in applying automation technologies to healthcare systems, analyzing patient pathways, and evaluating continuity of care models. His research spans digital transformation, cost-effectiveness analysis, and performance measurement in emergency and chronic care settings. Publications Trends : Recent works emphasize intelligent automation in healthcare processes, value co-creation in digital health services, and systemic challenges in integrated care delivery. He frequently collaborates on case studies and systematic reviews addressing operational inefficiencies and care continuity. Scientific Awards : Best Poster Award, EHMA Annual Conference 2024

Vincent Barréمشاهده پروفایل

پژوهشگر

• Educational Reengineering
• Learning Analytics
• Instructional Design
• +۳ مورد دیگر

Vincent Barré is a researcher affiliated with the University of Le Mans, specializing in educational reengineering and learning analytics. His work focuses on modeling and analyzing learning situations, particularly in telepresence environments where students and teachers interact across multiple locations via videoconferencing. His research interests include Instructional design for remote learning Educational data analysis Pedagogical scenario formalization Collaborative learning technologies Flipped classroom adaptation to videoconferencing His recent publications highlight trends in Design-based research for telepresence education Model-driven engineering for instructional design Educational modeling languages Usage trace analysis in E-learning systems Collaborative learning system evaluation He actively collaborates with researchers like Florian Meyer, Matthieu Petit, and Nathalie Lefebvre on projects related to videoconferencing pedagogy and educational technology development.

Guillaume Lhermieمشاهده پروفایل

دانشیار

• One Health
• Infectious Diseases
• Antimicrobial Resistance Economics
• +۴ مورد دیگر

Guillaume Lhermie is an Associate Professor in Animal Health and Veterinary Public Health Economics at the National Veterinary School of Toulouse (University of Toulouse) and an Adjunct Professor at Cornell University. He holds a DVM, MSc in Economics, and PhD in Pharmacology and Innovation. Education : PhD in Epidemiology, Innovation, Pharmacology (University of Nantes, 2015); MSc in Agricultural Economics and Sustainable Development (Montpellier Supagro INRA, 2010); BA in Political Science (Sciences Po Toulouse, 2010). His research integrates economics with veterinary public health to address antimicrobial resistance (AMR) under a One Health framework, analyzing cost-benefit trade-offs at farm and macroeconomic levels, developing simulation models for policy impact assessment, and exploring AMR as a sustainability challenge through bio-economic modeling. Recent work includes systemic approaches to health management optimization and multi-criteria decision analysis for rural veterinary practices. His publications span ecological economics, veterinary epidemiology, and public health, with a focus on AMR governance, sustainable drug use, and policy design. He has advised numerous DVM and Master’s students, including Thomas Serrand (awarded SIMV) and Maya Legras. Scientific Awards : Invited participant at University of Maryland's Living with Resistance workshop (2017); Invited to University of Maryland's Human Dimensions of AMR in Agriculture workshop (2019); Supervised SIMV award-winning theses. He teaches Animal Health Economics, Agricultural Economics, and Systems Thinking to veterinarians and executives, and has led educational modules on data analysis for cattle production. His leadership roles include coordinating the ERIAH economics group (INRA, 2015-present) and serving on the National Veterinary School of Toulouse alumni board.

• Learning Analytics
• Computational Psychometrics
• Adaptive Learning Systems
• +۷ مورد دیگر

Dr. Matthieu Brinkhuis is an Associate Professor at the Faculty of Science , Utrecht University , with a focus on Software Technology for Learning and Teaching . He serves as Director of Education for the Department of Information and Computing Sciences and is a Senior Fellow at the Center for Academic Teaching and Learning. His work bridges Learning Analytics , Computational Psychometrics , and Human-Centered AI . Research Themes : AI Labs, Governing the Digital Society, Human-Centered Artificial Intelligence Technical Expertise : Data Science, Learning Analytics, Adaptive Learning Systems, Process Mining His scholarly output includes pioneering methods like the Urning Algorithm for dynamic ability tracking and Federated Learning Analytics balancing privacy and performance. He leads the Utrecht Platform for Applied Data Science and contributes to Higher Education Research through large-scale online learning systems. Notable collaborations include projects on Privacy in SMEs , E-Assessment Validation , and Cognitive Diagnostic Models for actionable educational feedback. His work has been published in venues such as the British Journal of Mathematical and Statistical Psychology and Frontiers in Education .

Aldo Lipaniمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Search Evaluation
• Bias Correction
• +۳ مورد دیگر

Aldo Lipani is a researcher at the E-Commerce Research Area (E194-04) within TU Wien, specializing in information retrieval and search evaluation methodologies. Holding a Dr.techn. doctoral degree, he has maintained consistent research output since 2014 with significant contributions to IR evaluation frameworks. His educational background includes completing his doctoral thesis titled "On Biases in Information retrieval models and evaluation" at TU Wien in 2018. This foundational work established his research trajectory in evaluation bias and normalization techniques. Dr. Lipani's research centers on critical evaluation challenges in information retrieval, with particular expertise in bias correction mechanisms, document length normalization, and pooling strategies for test collection construction. His work addresses high-recall search scenarios essential for systematic literature reviews and e-commerce applications, often developing visualization tools like VoMBaT to analyze evaluation measure behavior. Recent publications demonstrate growing focus on transformer model position bias mitigation and contextualized re-ranking approaches. Analysis of his 15 most recent publications reveals a sustained commitment to improving IR evaluation reliability through methodological innovations. Key trends include the application of fixed-cost pooling strategies to systematic review automation, development of bias correction frameworks, and integration of visualization techniques for evaluation transparency. His work consistently bridges theoretical model improvements with practical applications in academic search and e-commerce contexts. As an active member of TU Wien's Network Lab within the E-Commerce Research Area, Dr. Lipani collaborates extensively on projects involving search system evaluation, systematic review automation, and e-commerce search technologies. His research group maintains strong connections with international IR communities through regular publications at major conferences.

• Energy Networks and Distribution
• Telecommunication networks
• Smart Cities
• +۳ مورد دیگر

Majed Jarrar serves as a Part Time Professor at the School of Engineering Design and Teaching Innovation, teaching graduate course GNG5120 with office hours held Tuesdays from 2:00 pm to 5:00 pm in SITE 0110B. His research spans six core domains: Energy Networks and Distribution (focusing on transformation and usage systems) Telecommunication networks (specializing in communication infrastructure) Smart Cities (addressing urban engineering challenges) Engineering Education (innovating pedagogical approaches) Social Entrepreneurship (bridging business and societal impact) Engineering Design (integrating natural sciences principles) His 2015-2017 publications reveal dual expertise: engineering education research examines entrepreneurship integration and time-sensitive design pedagogy, while telecommunications work advances Radio-over-Fiber technologies for smart grids and wireless services. This cross-disciplinary approach connects infrastructure engineering with educational innovation. No scientific awards, student advising records, grant funding details, or laboratory affiliations were documented in the source materials.