جستجوی استاد راهنمای دانشگاهی

Paul Pu Liangمشاهده پروفایل

استادیار

• Multimodal Machine Learning
• Human-AI Interaction
• Generative AI
• +۳ مورد دیگر

Paul Pu Liang is an Assistant Professor at the Massachusetts Institute of Technology (MIT) Media Lab and Department of Electrical Engineering and Computer Science (EECS). He directs the Multisensory Intelligence research group, focusing on building AI systems that integrate diverse sensory inputs to enhance human-AI symbiosis. His work spans theoretical foundations, large-scale resources, and neural architectures for multisensory learning. Education: PhD in Machine Learning (Carnegie Mellon University), MS in Machine Learning (Carnegie Mellon), BS with University Honors in Computer Science and Neural Computation (Carnegie Mellon) Research Interests: Multimodal machine learning, human-AI interaction, clinical AI, generative models, and responsible deployment of AI systems Key Contributions: MultiBench, HEMM evaluation framework, CLIMB clinical data foundations, and multimodal transformer architectures Recent publications emphasize multimodal foundation models , clinical applications , and socially responsible AI . His work has been recognized with multiple best paper awards and fellowships from Siebel, Facebook, and other institutions. Scientific Awards Siebel Scholars Award Waibel Presidential Fellowship Facebook PhD Fellowship Center for ML and Health Fellowship Rising Stars in Data Science Four best paper awards Paul teaches courses on machine learning and multimodal AI at MIT and CMU. He mentors students across multiple programs including Media Arts & Sciences, EECS, and IDSS, with former advisees now at institutions like OpenAI, UC Berkeley, and Princeton.

Alexandra Papoutsakiمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Eye Tracking
• Shared Gaze for Remote Collaboration
• +۵ مورد دیگر

Alexandra Papoutsaki is an Associate Professor of Computer Science at Pomona College since 2017. Her research focuses on Human-Computer Interaction , particularly in webcam-based eye tracking and shared gaze for remote collaboration . Ph.D. in Computer Science from Brown University M.Sc. in Computer Science from Brown University B.Sc. in Computer Science from Athens University of Economics and Business Her work spans personal informatics , crowdsourcing methodologies , and remote usability testing , with recent projects examining collaborative drawing interfaces, baby tracking reflection, and digital health communities. Earlier contributions include computational biology research in genome-wide survival analysis and pan-cancer mutation networks. Key trends in her publications include: Remote collaboration tools enhanced by eye tracking Personal data systems for health and creative domains Foundational work in crowdsourcing quality control Interdisciplinary approaches combining computer science with psychology and medicine Scientific recognition includes: NSF CRII Grant (2020-2022) Wig Distinguished Professor Award (2020) Best Paper at RECOMB (2013) She has developed multiple open-source platforms including WebGazer for scalable eye tracking and Remotion for mobile usability testing. Her research team has published extensively in top venues like CHI, IMWUT, and IJCAI.

Chenming Zhangمشاهده پروفایل

پژوهشگر ارشد

• Hydrology
• Groundwater hydrology
• Environmental Sciences
• +۷ مورد دیگر

Dr. Chenming Zhang is an Advanced Queensland Industry Research Fellow at the School of Civil Engineering, The University of Queensland. His research focuses on hydrological processes in coastal and terrestrial groundwater systems, with particular emphasis on evaporation-driven mass and heat transport in soils and tailings, and hydrogeochemical dynamics in aquifers and mine waste systems. Specializes in IoT-based environmental monitoring Develops numerical models for coastal aquifer dynamics Conducts field and laboratory experiments on tailings behavior Research interests span coastal hydrology, groundwater modeling, mine waste management, and environmental monitoring. He works on contamination transport, aquifer protection, and climate impacts on water systems. Recent publications analyze: Iron curtain formation in subterranean estuaries Sea water intrusion mechanisms Salinity dynamics in tidal wetlands Smart sewer monitoring systems Scientific awards include the prestigious Advanced Queensland Industry Research Fellowship. He supervises multiple PhD projects on mine waste hydrology and coastal aquifer management, with notable collaboration on: Evolution Mining's gold tailings projects ARC Discovery Projects on coastal processes Grange Resources' PAF cell instrumentation His work combines field measurements, laboratory testing, and computational modeling to address critical environmental challenges in mining and coastal zones.

Camillo J. Taylorمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• 3D Reconstruction
• +۶ مورد دیگر

Camillo J. Taylor is the Raymond S. Markowitz President’s Distinguished Professor in the Department of Computer and Information Science at the University of Pennsylvania , where he has been a faculty member since 1997. He also serves as Associate Dean for Diversity, Equity, and Inclusion at the School of Engineering and Applied Science. His research focuses on Computer Vision and Robotics , particularly in 3D reconstruction, semantic mapping, and autonomous navigation. Education: A.B. in Electrical Computer and Systems Engineering, Harvard College (1988) M.S. and Ph.D. in Computer Science, Yale University (1990, 1994) Research Interests: Dr. Taylor’s work bridges Computer Vision and Robotics to enable autonomous systems to perceive and navigate complex environments. Key themes include semantic SLAM, event camera applications, and meta-learning for adaptive controllers. His projects often integrate vision, physics, and multi-agent collaboration, as seen in systems like EvMAPPER and OCCAM . Recent Article Trends: His 2024–2025 publications focus on semantic mapping , event-based vision , and multi-agent LLM systems , reflecting his lab’s emphasis on real-time perception, physics-informed reconstruction, and rational decision-making in robotics. These works span applications from solar eclipse imaging to wildfire analysis and natural hazard resilience. Awards: NSF CAREER Award (1998) Lindback Minority Junior Faculty Award (2001) IEEE WACV Best Paper Award (2012) Lindback Distinguished Teaching Award (2012) Advising and Service: Dr. Taylor has advised numerous PhD students, including Jason Hughes and Bowen Jiang. He has served as a Program Chair for CVPR (2006, 2017) and General Chair for ICCV (2021). His contributions to the GRASP Laboratory have advanced autonomous micro-UAVs and semantic SLAM.

Karl Henrik Johanssonمشاهده پروفایل

استاد

• Networked and distributed control
• Cyber-physical systems
• Cyber-secure control systems
• +۴ مورد دیگر

Karl Henrik Johansson is a Professor at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology in Stockholm, Sweden, where he also serves as the Founding Director of Digital Futures. He is a Fellow of both IEEE and the Royal Swedish Academy of Engineering Sciences, and has held leadership positions including Immediate Past President of the European Control Association and IEEE Control Systems Society Vice President Diversity, Outreach & Development. Dr. Johansson earned his MSc in Electrical Engineering and PhD in Automatic Control from Lund University. His academic journey includes visiting positions at prestigious institutions such as UC Berkeley, Caltech, and NTU. His research focuses on networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks. His work investigates fundamental challenges in connecting physical world systems through communication networks, exploring how wireless communication and sensor technology can enhance system robustness, reliability, energy efficiency, and safety. Current research directions include security of cyber-physical systems, distributed optimization, multi-agent systems, and applications to intelligent transportation and energy networks. Analysis of his recent publications reveals a strong focus on distributed optimization algorithms, secure networked control, multi-agent systems, and applications to transportation and energy networks. His work increasingly integrates machine learning techniques with traditional control theory, addressing challenges in privacy-preserving distributed computation, resilient state estimation, and resource allocation in complex networked systems. IEEE Control Systems Society Hendrik W. Bode Lecture Prize (2024) Swedish Research Council Distinguished Professor (2018-2027) Wallenberg Scholar (2009-2026) IFAC Young Author Prize IEEE CSS Distinguished Lecturer (2017-2019) IFAC Outstanding Service Award IEEE Fellow Dr. Johansson has supervised over 100 postdocs and PhD students, with many now holding prominent positions at institutions worldwide. His research has been supported by significant grants including the Swedish Research Council Distinguished Professor Grant (2018-2027), multiple Wallenberg Foundation grants, and numerous EU and national research projects. He has directed major research centers including ACCESS Linnaeus Centre (2009-2016) and Strategic Research Area ICT TNG (2013-2020). His research group operates within the Digital Futures initiative and maintains strong connections with industry partners through projects like the Integrated Transport Research Lab (supported by Scania and Ericsson) and Smart Mobility Lab. The group actively collaborates with international institutions and participates in major EU-funded projects addressing challenges in cyber-physical systems, transportation, and energy networks.

Zsolt Kiraمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Zsolt Kira serves as an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing, with additional affiliations at the Georgia Tech Research Institute and as Associate Director of ML@GT. He leads the Robotics Perception and Learning (RIPL) Lab, driving research at the intersection of machine learning and robotics. Dr. Kira earned his Ph.D. in 2010 under Professor Ron Arkin, establishing foundational expertise in robotics and AI before transitioning to his current academic role after industry experience at SRI International Sarnoff. His research pioneers beyond supervised learning through unsupervised, semi-supervised, self-supervised, and continual/lifelong learning frameworks, while advancing distributed perception via multi-modal fusion and cross-robot information integration. This dual focus addresses core challenges in robotic autonomy and sensor processing. Analysis of his 15 most recent publications reveals dominant trends in embodied AI systems, robust foundation model adaptation, and multimodal learning architectures. Key themes include neural radiance field applications, reinforcement learning for locomotion, and novel benchmarks for memory evaluation in agents. While specific advisees and grants aren't documented in the source material, his RIPL Lab leadership implies active graduate mentorship and research funding acquisition. The lab's work directly enables next-generation robotic systems through algorithmic innovation in perception and learning. The RIPL Lab operates as a hub for developing machine learning techniques that solve difficult perception problems in robotics, with particular emphasis on unsupervised learning paradigms and distributed multi-robot systems that push the boundaries of autonomous operation.

Nigel Shadboltمشاهده پروفایل

استاد

• Artificial Intelligence
• Web Science
• Open Data
• +۷ مورد دیگر

Professor Sir Nigel Shadbolt is Principal of Jesus College Oxford and Professor of Computing Science at the University of Oxford. He is Chairman and Co-founder of the Open Data Institute which he established with Sir Tim Berners-Lee. His career spans multiple prestigious institutions including the University of Southampton and University of Nottingham, where he held leadership roles in AI research. He has served in significant government advisory positions including as Information Advisor to the UK Prime Minister and member of the Public Sector Transparency Board. Nigel Shadbolt earned his undergraduate degree in Philosophy and Psychology from the University of Newcastle (1st Class Honours, 1978) followed by a PhD in Artificial Intelligence from the University of Edinburgh. His academic journey includes positions as the Allan Standen Professor of Intelligent Systems at Nottingham and leadership of the Web and Internet Science Group at Southampton before joining Oxford. Shadbolt's research spans the interdisciplinary field of Web Science, which he helped originate, focusing on human-centered AI, social machines, open data, and ethical considerations in technology. His work examines how humans and computers integrate at web scale to create novel applications, with recent emphasis on children's digital autonomy and privacy. He has published over 500 articles exploring topics from cognitive psychology to computational neuroscience, Artificial Intelligence to the Semantic Web. His notable contributions include the development of data.gov.uk and leadership in establishing Oxford's Institute of Ethics in AI. His 2018 book 'The Digital Ape: how to live (in peace) with smart machines' has been described as a 'landmark book' in the field. Knighted in 2013 for services to science and engineering Fellow of The Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) Fellow of the British Computer Society (FBCS) Technology Pioneer status by the Davos World Economic Forum UK national BT Flagship IT Award As an advisor, Shadbolt has supervised numerous PhD students who have gone on to positions at Google DeepMind, the World Bank, and other prestigious institutions. His research has been supported by multiple grants including SOCIAM, KOALA, and ReTiPS projects. He co-founded Garlik Ltd, which was acquired by Experian, demonstrating his commitment to translating research into practical applications that benefit society. Shadbolt leads the Web and Internet Science research group at Oxford, focusing on social machines - applications that succeed at web scale by integrating humans and computers in novel ways. His work on the KOALA Hero Toolkit and CHAITok system addresses critical challenges in children's data autonomy on social media platforms, reflecting his commitment to ethical technology design.

Yon Visellمشاهده پروفایل

دانشیار

• Haptics
• Robotics
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Yon Visell is an Associate Professor at the University of California, Santa Barbara (UCSB) with appointments in the Department of Bioengineering, Department of Electrical and Computer Engineering, and Department of Mechanical Engineering. He directs the RE Touch Lab, which focuses on haptics, robotics, and interactive technologies, including sensorimotor augmentation, soft robotics, and virtual reality applications. The lab is affiliated with the Media Arts and Technology Program, Communication and Signal Processing group (ECE), Dynamic Systems and Control group (ME), California NanoSystems Institute, Center for Polymers and Organic Solids, UCSB Research Center for Virtual Environments and Behavior, and UCSB Robotics Group. Education: PhD in Electrical and Computer Engineering from McGill University, MA in Physics from University of Texas, Austin, and BA in Physics from Wesleyan University His research spans robotics, haptics, biomechanics, and soft electronics, aiming to advance human-computer interaction and wearable technologies. Recent work includes light-driven tactile displays, biomechanical filtering in tactile encoding, and haptic systems for VR and healthcare. The lab has received numerous awards at IEEE Haptics Symposium, World Haptics Conference, and EuroHaptics Society events. 2025 Best Demonstration Awards at IEEE World Haptics Conference 2024 Best Paper at IEEE Haptics Symposium 2023 Best Journal Paper at IEEE Transactions on Haptics Visell's group has pioneered wave-based haptic rendering, tactile holography, and soft wearable robotics. They have developed tools like SkinSource for tactile biomechanics simulation and collaborated with institutions in North America, Europe, and Japan. Current projects involve photonics-driven tactile systems, soft robotics for therapy, and next-generation haptic interfaces while mentoring students like Gregory Reardon (2024 EuroHaptics Best Dissertation), Max Linnander (IEEE Haptics awards), and Neeli Tummala (SWE Intel Scholar). Research Grants: Funded by NSF, tech, and healthcare industries Lab: RE Touch Lab at California NanoSystems Institute Collaborations: with TU Dresden, Northwestern University, NC State, UCLA, and others

Dustin Tingleyمشاهده پروفایل

استاد

• international relations
• climate change
• data science
• +۶ مورد دیگر

Dustin Tingley is a Professor of Government at Harvard University and holds a joint appointment at the Harvard Kennedy School of Public Policy . He serves as Interim Vice Provost for Advances in Learning and directs the Data Science and Technology Group and the Harvard Initiative on Learning and Teaching . He earned a PhD in Politics from Princeton and a BA in political science and math from the University of Rochester. Key Roles : Deputy Vice Provost (past), Chair of Harvard's Standing Committee on Climate Education Research Focus : Climate change politics, data science, causal inference, and international political economy His recent work explores the political economy of climate transitions , public opinion on carbon policies , and machine learning applications in social sciences . He co-founded ABLConnect , a repository for active learning pedagogy, and organized conferences on causal mechanisms , teaching with AI , and equitable classrooms . Awards : Gladys M. Kammerer Award (2015) for co-authored book Sailing the Water’s Edge Notable Publications : Uncertain Futures: How to Unlock the Climate Impasse (2023, with Alex Gazmararian) The Political Economy of the Clean Energy Transition (2025)

Soojin Oh Parkمشاهده پروفایل

استادیار

• Early Childhood Education
• Bilingual Education
• Family Literacy
• +۷ مورد دیگر

Soojin Oh Park is an Assistant Professor in the Learning Sciences & Human Development department at the University of Washington College of Education. Her research focuses on equity-driven improvements in early childhood education, family literacy engagement with Dual Language Learners (DLLs), and culturally grounded parenting practices. Ed.D., Human Development and Education, Harvard University M.Ed., Educational Policy and Analysis, Harvard University M.S.Ed., Learning, Teaching, and Literacies, University of Pennsylvania B.A., Psychology, University of Pennsylvania Park’s interdisciplinary work combines qualitative, quantitative, and mixed-methods approaches to address gaps in early childhood education (ECE) and parenting, emphasizing: Family literacy engagement for DLLs’ language and literacy development Culturally sustaining pedagogy to amplify family strengths Equity-oriented reforms in ECE systems and policies Her publications span topics like heritage language maintenance, culturally responsive assessment, and the impact of immigration policy on child development, often utilizing advanced methodologies such as machine learning. Awards include the SRCD Federal Policy Fellowship and Best Article of the Year from the Journal of School Psychology. Outstanding Research Paper Award (Korean American Educational Research Association) Distinguished Paper Award (Washington Educational Research Association) Best Article of the Year Award (Journal of School Psychology) Emerging Scholar Fellowship (National Research Center on Hispanic Children and Families) Park leads projects such as FAMILY (Fathers And Mothers Investing in Learning of Young Children) and BASECAMP (Bolstering Asian Students in Early Childhood by Advancing Multilingual Pedagogies). She teaches courses on language and literacy learning, bilingual development, and parenting impacts on early education.

Yi Dingمشاهده پروفایل

استادیار

• AI/ML Systems
• Sustainable Computing
• Computer Systems
• +۳ مورد دیگر

Yi Ding is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, where they lead the STYLE (Sustainable computing Systems and LEarning) Lab. Dr. Ding joined Purdue in August 2023 after completing a postdoctoral fellowship at MIT CSAIL as an NSF Computing Innovation Fellow, mentored by Michael Carbin. During their postdoc, they also held a visiting position at Meta Infra Data Center to improve server maintenance efficiency in hyperscale datacenters. They received their Ph.D. in Computer Science from the University of Chicago, advised by Henry Hoffmann. Dr. Ding's research focuses on computer systems, computer architecture, and AI/ML, with strong emphasis on applications in sustainability and healthcare. Their work spans sustainable computing, including energy efficiency in datacenters and LLM serving, as well as healthcare applications such as mental health prediction and EEG analysis. Their recent publications demonstrate a strong trend toward addressing environmental impacts of computing, particularly in datacenters and AI systems, while also exploring innovative healthcare applications. Their research bridges systems, sustainability, and health domains, creating novel solutions for pressing societal challenges. Dr. Ding has received notable recognition including the Seed Funding for High-Impact Review Papers (2024), the Meta Research Award (2021), and was selected as a Computing Innovation Fellow by CRA/CCC (2020). Seed Funding for High-Impact Review Papers (2024) with Inez Hua 1st Place in Research Talk in CoE at Fall 2024 Undergrad Research Expo (awarded to Gavin Fortwendel) 2020 Computing Innovation Fellow by CRA/CCC Meta Research Award on Statistics for Improving Insights, Models, and Decisions (2021) Dr. Ding is actively recruiting self-motivated Ph.D. students interested in AI/ML systems research. They have secured funding for undergraduate research projects through DUIRI, focusing on sustainable AI computing and energy use in training autonomous vehicles. Their lab collaborates with various institutions including MIT, Meta, and interdisciplinary partners at Purdue. The STYLE Lab under Dr. Ding's leadership is actively engaged in multiple research initiatives addressing sustainable computing and healthcare applications, with strong industry connections and funding support from both internal university sources and external partners.

Daniel J. Lizotteمشاهده پروفایل

دانشیار

• Machine Learning
• Biostatistics
• Health
• +۴ مورد دیگر

Dan Lizotte is an Associate Professor jointly appointed to the Department of Computer Science in the Faculty of Science and the Department of Epidemiology and Biostatistics in the Schulich School of Medicine & Dentistry at Western University. Additional affiliations include the Schulich Interfaculty Program in Public Health and a cross-appointment to the Department of Statistics and Actuarial Sciences. Based in Middlesex College, London, Ontario, his contact email is dlizotte@uwo.ca. His research centers on machine learning and biostatistics for health decision support, with emphasis on sequential decision-making in chronic disease management where evolving patient health status and preferences inform adaptive interventions. Core contributions involve adapting reinforcement learning frameworks to model dynamic health decisions in public health and primary care settings, addressing methodological challenges in personalized medicine and risk prediction. Analysis of his publication record reveals consistent focus on healthcare applications of machine learning, particularly in chronic disease risk modeling using electronic medical records, intersectionality frameworks in public health AI, and Bayesian methods for dose personalization. His work bridges reinforcement learning with clinical decision support systems, advancing dynamic treatment regimes and statistical methodologies for evolving patient data. No scientific awards were mentioned in the provided text. The text does not specify any advisees, grant funding, or educational background details. Lizotte leads a research laboratory focused on machine learning applications in health, as evidenced by the dedicated lab site referenced in his contact information. His team likely explores intersections of statistical methodology, AI ethics, and clinical implementation for personalized health interventions.

Nuria Chinchillaمشاهده پروفایل

استاد

• Women and leadership
• Life course integration
• Family-responsible organizations
• +۳ مورد دیگر

Nuria Chinchilla is Professor of People Management in Organizations at IESE Business School, University of Navarra, and holder of the Carmina Roca and Rafael Pich-Aguilera Chair of Women and Leadership. She founded the International Center for Work & Family and the I-WIL Initiative (IESE Women in Leadership), which focuses on fostering diversity in business and women's leadership globally. Her educational background includes a PhD in Business Administration and Economics, an MBA from IESE Business School, and a Law Degree from the University of Barcelona. She began her full-time professorship at IESE in 1984 and has maintained an active academic career spanning over four decades. Professor Chinchilla's research focuses on women and leadership, life course integration, family-responsible organizations, personal and professional career management, and organizational change. Her work examines how women leaders contribute to company development, the role of women on boards of directors, work-family balance, and corporate family responsibility. She has developed frameworks for integrating professional and personal life in harmony, emphasizing the conciliation with oneself as a starting point for broader life integration. Her recent publications reflect trends toward understanding talent management in post-pandemic organizations, sustainable business practices, and the impact of technology on work-life balance. Her research connects leadership development with ecological and humanistic approaches to business, exploring how purpose-driven organizations can create meaningful change. Best Female Manager of the Year by FEDEPE Gold Cross from European Development Foundation (AEFE) Member of Royal Academy of Economic and Financial Sciences of Spain (RACEF) since December 2018 Spanish candidate for UN CEDAW 2012 Professor Chinchilla serves as an advisor to numerous companies and government agencies, and is a member of several advisory boards including the VIP Advisory Board of the European Professional Women's Network, the Board of Trustees of UIC, and was a member of IWF-Spain from 2015-2019. She is a frequent speaker at universities and international conferences worldwide and has served as a visiting professor at business schools across Europe, Latin America, and Africa. Her work through the I-WIL network organizes events connecting women leaders at different career stages and investigates women's leadership impact on organizations.

John Haleمشاهده پروفایل

استاد

• Cyber security
• Bioinformatics
• High performance computing
• +۶ مورد دیگر

John Hale, Ph.D., is a Professor and Chair of Computer Science at The University of Tulsa's Tandy School of Computer Science, where he holds the Tandy Endowed Chair in Bioinformatics and Computational Biology. He is a founding member of the TU Institute of Bioinformatics and Computational Biology (IBCB) and a faculty research scholar in the Institute for Information Security (iSec). Education: Ph.D., Computer Science, The University of Tulsa (1997) M.S., Computer Science, The University of Tulsa (1992) B.S., Computer Science, The University of Tulsa (1990) Dr. Hale's research spans cybersecurity , bioinformatics , cyber-physical systems , and applied formal methods . His work focuses on neuroinformatics, cyber trust, attack modeling, secure software development, and information privacy. Recent publications highlight trends in large-scale graph analysis for cybersecurity, attack graph generation on high-performance computing clusters, and security frameworks for nuclear reactor control systems. His research also explores hybrid attack graph modeling, reflective deception strategies, and compliance methods for cyber-physical infrastructures. Scientific Awards: 2000 National Science Foundation CAREER Award Dr. Hale has advised numerous research projects and received funding from the U.S. Air Force, Army, NSF, NIH, DARPA, NSA, and NIJ. He has testified before Congress on cybersecurity and holds a patent for anti-piracy technology. His lab work includes developing cyber-physical testbeds and science DMZ security solutions.

• Healthy Ageing
• Pharmacology
• Pharmacoepidemiology
• +۳ مورد دیگر

Dr. Kenji Fujita is a Research Fellow at the Kolling Institute, University of Sydney, specializing in ageing, pharmacology, and pharmaceutical care quality. He holds a PhD, MScMed (ClinEpid), and BPharm from the University of Sydney. Previously a pharmacist in Japan, he leads international initiatives in the Pharmaceutical Care Network Europe (PCNE) and the International Pharmaceutical Federation (FIP). His work focuses on deprescribing strategies, polypharmacy, and developing quality indicators for healthcare services. Dr. Fujita’s research integrates big data analysis, statistical modeling, and machine learning to address challenges in geriatric pharmacotherapy. Current projects include validating frailty indices, evaluating deprescribing interventions in older adults, and developing NLP tools for clinical documentation analysis. He has also contributed to assessing organizational readiness for guideline implementation in community pharmacies. Awards include the 2023 Outstanding Poster Presentation Award at the IAGG Asia/Oceania Congress and 2022 Best Poster at the Japanese Society of Social Pharmacy. He has secured grants such as the 2024 electronic frailty index project and the 2021 systems-approach to medication review initiative. Dr. Fujita collaborates with global networks like J-HOP (Japan Home Visiting Pharmacy Association) and leads multidisciplinary teams across Australia and Europe. His lab focuses on translating data-driven insights into actionable clinical practices to improve medication safety and quality in ageing populations.