جست‌وجوی استاد و پژوهشگر

• Computational electromagnetics
• Electromagnetic propagation
• Wave propagation
• +۷ مورد دیگر

Guido Lombardi is a Full Professor in the Department of Electronics and Telecommunications at Polytechnic University of Turin, where he serves as a member of the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. His academic career spans over two decades with significant contributions to computational electromagnetics and related fields. Dr. Lombardi's research focuses on computational electromagnetics, particularly analytical and numerical methods, electromagnetic propagation (scattering and diffraction), metamaterials, wave propagation, and the Wiener-Hopf technique. His work extends to practical applications including microgrid/technological modernization of eco-districts, triboelectricity in industrial applications, and security and science for peace initiatives. His research aligns with several Sustainable Development Goals, particularly those related to affordable and clean energy, industry innovation, and sustainable cities. His publication record demonstrates a strong focus on electromagnetic theory, with numerous papers in IEEE Transactions on Antennas and Propagation and other prestigious journals. The research trajectory shows consistent development in solving complex electromagnetic problems using advanced analytical and numerical techniques, particularly the Wiener-Hopf method applied to wedge diffraction problems, waveguide analysis, and metamaterial applications. Notable scientific awards and recognitions include: Raj Mittra Junior Researcher Award from IEEE Antennas and Propagation Society (2003) Executive Committee member of IEEE Antennas and Propagation Society (2016-2021) Honorary member of URSI (2018-) Honorary member of IEEE (2011-) Dr. Lombardi has served as a mentor to PhD students including Matteo Perrone (working on multiphysics acoustic-electromagnetic metasurfaces) and Sergio Cannata (focusing on biological image analysis through deep learning techniques). He has secured significant research funding through competitive calls including the PNRR Mission 4 HPC Spoke 6 project (2022-2025) and the GREEN TAGS project (2020-2024). His editorial service includes roles on IEEE Transactions on Antennas and Propagation, Electronics Letters, and IEEE Access. He has been actively involved in organizing major international conferences, serving as program chair for multiple IEEE-APS Topical Conferences on Antennas and Propagation in Wireless Communications and the International Conference on Electromagnetics in Advanced Applications (ICEAA) from 2001 to present. His research group, Electromagnetic Modeling and Applications, focuses on advanced numerical methods for electromagnetic problems.

Laura Choateمشاهده پروفایل

استاد

• Girls’ and Women’s Mental Health
• Depression
• Eating Disorders
• +۶ مورد دیگر

Laura H. Choate, the Jo Ellen Levy Yates Professor in Counselor Education at Louisiana State University's School of Education, is a leading expert in girls’ and women’s mental health. Her work spans depression, eating disorders, and ethical counseling practices. Education: Bachelor's Degree in Psychology, University of Virginia (1990) Master's Degree in Psychology, Hollins College (1992) EdD in Counselor Education, College of William and Mary (1997) Dr. Choate’s research focuses on mental health challenges across the lifespan, particularly addressing body image resilience in adolescents and college women. She has developed frameworks for ethical counseling and gender-sensitive interventions. Her recent publications emphasize mindfulness-based treatments, gender equity, and the intersection of cultural pressures with mental health. Articles highlight adolescent depression, eating disorder diagnostics, and legal-ethical counseling practices. Scientific Awards: 2016 LSU Distinguished Faculty Award 2014 College of Human Sciences & Education Distinguished Research Award 2012 ACA Best Practices Award Dr. Choate serves on the American Counseling Association Ethics Committee and has authored guidelines for Louisiana’s Licensed Professional Counselors Board. She maintains an active role in counselor education and community advocacy through her Psychology Today blog.

• Digital Art
• Visual Education
• Educational Technology
• +۵ مورد دیگر

Dr. José Manuel de Almeida Pereira is an Assistant Professor at the School of Education of Viseu, Polytechnic Institute of Viseu, Portugal, where he has been teaching since 2006. He currently serves as President of the Technical-Scientific Council and has held various leadership positions including Director of the Department of Communication and Art. His work focuses on the intersection of digital art, educational technology, and language learning. PhD in Fine Arts (Multimedia Art) from University of Lisbon Faculty of Fine Arts (2019) - "Aesthetics of collective actions in Internet Art: crowdsourcing and the awakening of creative audiences." (Approved with Distinction and Praise) Master's in Educational Technology (Image Technologies) from University of Minho (2004) - "Anatomy of Visual Grammar in Art Education: Digital Image versus Traditional Image" (Very Good unanimously) Bachelor's Degree in Visual and Technological Education from Polytechnic Institute of Viseu School of Education of Viseu (1997) Dr. Pereira's research interests center on digital art education, visual literacy, and the integration of technology in teaching practices. He explores how digital tools and multimedia approaches can enhance foreign language learning, particularly through storytelling and non-linear narratives. His work emphasizes interdisciplinary connections between art, technology, and language education, with a focus on practical applications in higher education settings. He investigates how immersive environments and gamification strategies can transform traditional teaching methods. His recent publications demonstrate a consistent focus on the intersection of digital art, educational technology, and language learning. A significant portion of his work examines how digital storytelling, non-linear narratives, and multimedia approaches can enhance foreign language acquisition in higher education. He has also explored applications of these approaches in special education contexts, particularly for individuals with autism spectrum disorder. His research shows a progression from theoretical investigations of digital aesthetics to practical applications of digital tools in educational settings. Dr. Pereira has directed numerous research projects, including PAGE (Agricultural and Food Landscapes with innovative women generations), HARVEST (Valuing the Family Garden to Educate for a Mediterranean, Healthy and Sustainable Diet), and APSASeG (Opening Classroom Doors: Serious games - the impact of gamification on foreign language teaching/learning in higher education). He has also led the JASM project (Janela aberta sobre o mundo: línguas estrangeiras, criatividade multimodal e inovação pedagógica no ensino superior), which explores multimodal creativity as a tool for pedagogical innovation in foreign language learning. As an academic advisor, Dr. Pereira has supervised numerous Master's students, primarily in the field of Visual and Technological Education. His advisees have explored topics ranging from digital photography in technological education to the inclusion of children with autism spectrum disorder through visual and technological education disciplines. He has also organized several academic events, including the "Solstício: arte a três tons" Arts Festival and international seminars on foreign language learning and digital creation. Dr. Pereira directs a laboratory at the School of Education of Viseu and has been instrumental in developing the IPVerso initiative, which focuses on education and co-creation through art. His work bridges theoretical research with practical applications, creating opportunities for students and community members to engage with digital art and technology in meaningful educational contexts.

Jingfei Liuمشاهده پروفایل

استادیار

• Biomedical Acoustics
• Signal Processing
• Image Processing
• +۳ مورد دیگر

Jingfei Liu serves as an Assistant Professor in the Department of Mechanical Engineering at Texas Tech University and is a research faculty member at the Center of Excellence in Obesity and Cardiometabolic Research. Her work bridges mechanical engineering principles with biomedical applications, focusing on developing innovative ultrasound-based diagnostic and therapeutic technologies for medical use. Her core research encompasses biomedical acoustics—specifically the application of vibration, sound, and mechanical energy for medical diagnosis and therapy—alongside signal and image processing for medical instrumentation. A significant future direction involves transcranial ultrasound neuromodulation as a novel approach for treating obesity and associated cardiometabolic complications, aligning with the Center's mission to address obesity-related health challenges through interdisciplinary research. Analysis of her recent publications (2021-2025) reveals a concentrated expertise in advancing ultrasound elastography and surface acoustic wave techniques, with applications spanning cancer immunotherapy, tissue characterization, and obesity-related research. Her work demonstrates consistent innovation in both theoretical modeling (e.g., numerical simulations of wave propagation) and experimental validation (e.g., ex vivo tissue testing), establishing her as a contributor to next-generation biomedical imaging solutions. Dr. Liu actively participates in the Center of Excellence in Obesity and Cardiometabolic Research, leveraging interdisciplinary collaborations to develop engineering solutions for complex metabolic disorders. Her affiliation underscores a commitment to translating acoustic technologies into clinical applications for obesity treatment and cardiometabolic health improvement.

Jason K. Molitorisمشاهده پروفایل

دانشیار

• Radiation Oncology
• Genitourinary Cancers
• Gastrointestinal Cancers
• +۵ مورد دیگر

Dr. Jason K. Molitoris serves as Associate Professor and UMMC Medical Director in the Department of Radiation Oncology at the University of Maryland, based at the Marlene and Stewart Greenebaum Comprehensive Cancer Center. His clinical expertise spans genitourinary, gastrointestinal, central nervous system, and hematologic malignancies, with a focus on implementing advanced radiation technologies to optimize treatment efficacy and minimize side effects. His educational background includes: Bachelor of Science in Biology, Summa cum laude, Phi Beta Kappa, The College of William and Mary MD/PhD through Medical Scientist Training Program, Case Western Reserve University School of Medicine (Alpha Omega Alpha) Internal Medicine Internship, Greater Baltimore Medical Center Radiation Oncology Residency and Chief Residency, University of Maryland Medical Center Dr. Molitoris' research integrates basic science (cell death mechanisms in leukemia/lymphoma) with clinical applications of proton therapy, brachytherapy, and hyperthermia. His work emphasizes novel radiosensitization approaches, clinical trial development, and translational studies to improve outcomes in prostate, gastrointestinal, and CNS cancers while reducing treatment toxicity. Analysis of his 15 most recent publications reveals a strong clinical outcomes focus across brain metastases, lung, breast, and prostate cancers. His work frequently utilizes multi-institutional collaborations and national databases to evaluate prognostic factors, treatment patterns, and advanced technologies like proton therapy, with consistent emphasis on balancing efficacy with quality-of-life preservation. His awards include: Lynn Sage Breast Cancer Symposium Scholar Award RSNA Roentgen Resident/Fellow Research Award International Congress for Hyperthermic Oncology New Investigator Travel Award ASCO/AACR Research Fellow designation American Radium Society Travel Grant Award ASTRO Advocacy Day Travel Grant H.E.R.O. Award nomination University of Maryland Chief Resident distinction Dr. Molitoris actively develops clinical trials through AACR/ASCO workshops and mentors residents, though specific grant details and student advisees aren't documented. His national presentations reflect leadership in radiation oncology innovation, particularly in thermal therapy and proton applications. He operates within the Marlene and Stewart Greenebaum Comprehensive Cancer Center ecosystem, collaborating with multidisciplinary teams across the Maryland Proton Treatment Center and leveraging institutional resources for translational research in advanced radiation modalities.

Elena MATTEIمشاهده پروفایل

پژوهشگر ارشد

• Digital Humanities
• Multimodal Tourism Discourse
• Systemic Functional Linguistics
• +۷ مورد دیگر

Elena Mattei is a Postdoctoral Research Fellow at Ca' Foscari University of Venice, holding dual affiliations with the Venice School of Management and the Department of Comparative Linguistic and Cultural Studies. She is actively engaged in the National Research Project DIETALY (Destination Italy in English Translation and Language over the Years) in collaboration with the Italian National Tourist Board, investigating early English tourism translation practices in Italy and 20th century promotional materials. Her educational background includes a PhD and Doctor Europaeus in Digital Humanities for English Studies (SSD: L-LIN/12) from the University of Verona with excellent grades. Previously, she earned a Bachelor's and Master's degree in Foreign Languages for Communication in Tourism and Commerce (LM-38; 110L/110), with semesters abroad at University of Massachusetts Boston and Universitaet Passau, and an internship at the travel agency One Food Abroad in Dublin. Mattei's research focuses on multimodal tourism discourse, particularly the collection, annotation and analysis of tourism multimodal corpora on social media. Her work integrates data-driven semiotics into social semiotics and Systemic Functional Linguistics, with the social mission of fostering multimodal literacy and promoting the design of counternarratives for social change, especially regarding environmental protection and informed social media use. She investigates how the capitalist, romantic gaze of the postmodern traveler may be leveraged to cultivate environmental awareness and promote sustainable behavior, with plans to create a Grammar of multimodal eco-discourse to support regenerative travel. Her publications demonstrate a consistent trajectory in multimodal analysis of tourism communication, with increasing focus on sustainability, environmental protection, and the application of computational methods. Recent work shows a shift toward practical applications of her theoretical framework for regenerative tourism and sustainable communication practices, with numerous forthcoming publications in high-impact journals and edited volumes. Finalist for the Paul Fortier Prize as Emerging Researcher in Digital Humanities at Digital Humanities 2023 Shortlisted for the ADHO Paul Fortier Prize as an emergent scholar in Digital Humanities Editorial member of scientific journals TRANS-KATA and Iperstoria (Class A) Peer reviewer for Routledge, Bloomsbury Academic, and several high-impact journals Mattei actively supervises Master's theses at the University of Verona on topics related to tourism discourse and multimodal communication. She has served as an Adjunct Professor at both the University of Verona and Ca' Foscari University of Venice, teaching courses in Digital Humanities, Business English, and English for International Business and Global Affairs. Her research is supported by the DIETALY project funded by MIUR (PRIN 2020), where she serves as a Postdoctoral Researcher under Professor Mirella Agorni. She has developed the Statistically Reliable Image (SRI) Tagging software for visual and multimodal manual annotation in collaboration with ISTI-CNR, and has co-organized international conferences including a multidisciplinary doctoral conference at the University of Verona in 2021. Her work bridges academia and industry through collaborations with Randstad Research and media appearances with La Repubblica discussing sustainable tourism trends.

• Amyotrophic Lateral Sclerosis (ALS)
• Motor Neuron Disease (MND)
• Frontotemporal Dementia (FTD)
• +۵ مورد دیگر

Martin Turner is Professor of Clinical Neurology & Neuroscience at the University of Oxford's Nuffield Department of Clinical Neuroscience within the Medical Sciences Division. He serves as a Consultant Neurologist at John Radcliffe Hospital and is Associate Director of the Oxford University Clinical Academic Graduate School (OUCAGS). As a Senior Research Fellow at Green Templeton College, he plays a significant role in academic leadership and mentoring. MA (Cantab), MBBS, PhD, FRCP (Lond) Senior Research Fellow, Green Templeton College Associate Director, Oxford University Clinical Academic Graduate School Consultant Neurologist, John Radcliffe Hospital ORCID: 0000-0003-0267-3180 Professor Turner's research focuses on identifying biomarkers for amyotrophic lateral sclerosis (ALS) and motor neuron disease (MND). His work spans from molecular studies to neural network analysis, using advanced techniques including MRI, MEG, proteomics, and extracellular vesicle extraction. He leads the Oxford Study for Biomarkers in MND (BioMOx), which investigates potential diagnostic and prognostic biomarkers through imaging and biofluid analysis. His groundbreaking work on neurofilament light chain as a blood-based biomarker earned his team the Sean M. Healey International Prize for Innovation in ALS in 2023. He also co-leads the £8m NIHR-funded EXPERTS-ALS initiative and directs the Families for the Treatment of Hereditary MND (FaTHoM) program and the C9ORF72 National Registry (ACORN). His publication record reveals a consistent focus on ALS biomarker development, with recent work examining cerebrospinal fluid biomarkers, genetic factors in ALS/FTD, lipid metabolism in neurodegeneration, and neuroimaging techniques to track disease progression. His research increasingly integrates multi-modal approaches, combining neuroimaging with biochemical analysis to develop comprehensive biomarker panels. Professor Turner has received significant recognition for his work, most notably the Sean M. Healey International Prize for Innovation in ALS in 2023. His leadership in the £8m NIHR-funded EXPERTS-ALS program demonstrates his standing as a major figure in international ALS research. Beyond his research, Professor Turner actively mentors early career clinician scientists through his role at OUCAGS, teaches Oxford University medical students, and educates junior doctors and regional GPs about neurological diseases. He chairs the Case Report Podcast for Practical Neurology, demonstrating his commitment to medical education and knowledge dissemination. He leads multiple research initiatives including the Oxford Motor Neuron Disease Centre and the FMRIB Neurodegeneration Group, collaborating with researchers like Alexander Thompson, Kevin Talbot, and Charlotte Stagg. His work bridges basic science and clinical application, with the ultimate goal of improving diagnosis, prognosis, and treatment for patients with ALS and related disorders.

• Explainable AI
• Privacy-Preserving Machine Learning
• Medical Image Analysis
• +۶ مورد دیگر

Dr. W.J. (Wilson) dos Santos Silva is an Assistant Professor at the Faculty of Science , University of Utrecht, specializing in AI & Data Science and Biology . His research focuses on creating explainable and robust AI models for multimodal multi-centre medical data , with emphasis on privacy-preserving machine learning and out-of-distribution generalization . PhD in Electrical and Computer Engineering (2022), University of Porto Master's and Bachelor's in Electrical and Computer Engineering (2016), University of Porto Research Interests include: Explainable AI for medical decision-making transparency Privacy-Preserving Machine Learning in healthcare Multi-Centre Data Analysis across institutions Medical Imaging applications in oncology and neurology Recent Publications demonstrate expertise in: Medical image segmentation techniques Cross-modal learning approaches Federated learning for privacy Biomedical data interpretation Generalization in heterogeneous datasets Scientific Contributions include organizing the iMIMIC workshop at MICCAI 2024 and mentoring students receiving competitive awards. Students & Collaborators : PhD Candidates: Valentina Corbetta, Daan Boeke, Miriam Cobo, Aniek Eijpe, Jan van Eck Postdoctoral Researchers: Soufyan Lakbir Former Students: Tingyang Jiao, Laura Latorre, Filipe Campos, etc. Laboratory develops AI solutions for medical imaging , multi-centre collaboration , and ethical AI in healthcare contexts.

• Neurodegenerative Diseases
• Traumatic Brain Injury
• Chronic Traumatic Encephalopathy
• +۶ مورد دیگر

Dr. Arman Fesharaki-Zadeh is an Assistant Professor of Psychiatry and Neurology at Yale University School of Medicine, where he serves as Medical Director of Dementia and Behavioral Neurology and Program Co-Director of the Behavioral Neurology and Neuropsychiatry Fellowship. With dual appointments in both Psychiatry and Neurology departments, he bridges clinical practice and research in neurodegenerative diseases. Yale School of Medicine, Department of Psychiatry (Primary Appointment) Yale School of Medicine, Department of Neurology (Secondary Appointment) Neurodegenerative Disorders Program, Neurology NeuroPET Imaging Program, Psychiatry Dr. Fesharaki-Zadeh's research focuses on traumatic brain injury (TBI), chronic traumatic encephalopathy (CTE), and frontotemporal dementia, with particular interest in synaptic density alterations and potential treatment modalities. His work combines neuropsychiatric clinical expertise with neuroscience research to develop better understanding and treatments for neurodegenerative conditions. His recent publications demonstrate a strong focus on the intersection of TBI and neurodegeneration, with investigations into tau pathology, synaptic density changes, and potential therapeutic approaches targeting pathways like Fyn and mGluR5. His work spans from basic animal models to clinical applications, including research on treatments for cognitive deficits after TBI and in Long-COVID. Dementia and Neurodegenerative Diseases Editor's Pick 2021 by Professor Bruce Miller American Academy of Geriatric Psychiatry Honors Scholarship Award (2015) National Neurotrauma Society Abstract Reviewer (2025-present) Frontiers in Cellular Neuroscience Journal Reviewer (2024-present) As a clinician, Dr. Fesharaki-Zadeh sees patients at the Yale memory outpatient clinic, specializing in neurodegenerative diseases including Alzheimer's, Traumatic Brain Injury, and various types of dementia. He emphasizes building trust with patients through open-ended questioning and comprehensive cognitive assessments. His clinical approach is informed by his extensive research background, creating a synergistic relationship between his laboratory work and patient care.

Kendall Hunterمشاهده پروفایل

دانشیار

• Cardiovascular Engineering
• Neural Engineering
• Medical Imaging
• +۳ مورد دیگر

Kendall Hunter, PhD serves as Associate Professor in the Department of Bioengineering at the University of Colorado School of Medicine, Anschutz Medical Campus. Affiliated with both the University of Colorado Denver and Children's Hospital Colorado, Hunter maintains clinical practice at the Aurora campus (13123 East 16th Ave). The academic appointment resides within the College of Engineering, Design and Computing's Bioengineering department, which operates jointly across the Anschutz Medical Campus and Denver campus. Hunter's research focuses at the intersection of cardiovascular physiology, neural engineering, and medical imaging technologies. Primary investigation areas include right ventricular-pulmonary arterial coupling, Fontan circulation hemodynamics, and advanced cardiac imaging techniques like 4D flow MRI. The work frequently addresses clinical challenges in pulmonary hypertension, congenital heart disease, and metabolic disorders affecting cardiovascular function. Recent publications demonstrate strong emphasis on developing computational models and novel imaging algorithms for cardiovascular assessment. Analysis of the 15 most recent publications reveals consistent focus on ventricular-vascular interactions, particularly in challenging clinical populations including pediatric patients with pulmonary hypertension, Fontan circulation, and metabolic disorders. The research methodology heavily utilizes advanced imaging modalities (4D flow MRI, echocardiography), hemodynamic monitoring, and computational analysis techniques including principal component analysis for complex clinical data. Principal investigator for neural engineering research within the Bioengineering department Active collaborator with Children's Hospital Colorado clinical teams Involved in graduate education through the Neural Engineering certificate program Hunter's laboratory work connects closely with the Center for Bioengineering at Bioscience 2 (12705 East Montview Boulevard), leveraging the unique co-location of engineering and medical facilities at the Anschutz campus. Current research directions include developing ultrasound algorithms for critical care applications and investigating perivascular adipose tissue interactions in metabolic disease models.

• Artificial Intelligence
• Remote Sensing
• Earth Observation
• +۵ مورد دیگر

Annisa Puspa Kirana is a Ph.D. candidate and researcher at the Department of Geo-information Processing (ITC-GIP), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. She is a Lecturer in the Department of Information Technology at State Polytechnic of Malang, currently on study leave to focus on her Ph.D. research. Her work integrates Artificial Intelligence , Computer Vision , and Geospatial Analytics to analyze satellite/aerial imagery for Climate Change Mitigation , Disaster Monitoring , and Resource Management . PhD in Geo-Information Science @ University of Twente (Netherlands) Master of Computer Science @ IPB University (Indonesia) Her research emphasizes Deep Learning applications in Earth Observation, including Vision-Language Models and Agentic AI for multimodal data analysis. She collaborates with interdisciplinary teams , government agencies , and industry partners . Selected Publications Trends: Focus on AI agents , LLMs , VLMs , and Vision Transformers for geospatial and environmental applications Technical tutorials on Streamlit , TalkToEBM , and LangChain integration Conceptual breakdowns of agentic vs. agent-based systems , interpretability in AI , and prompt engineering Scientific Awards: LPDP Awardee (Indonesian Endowment Fund for Education) Microsoft Certified Educator She actively mentors students in AI/geospatial fields and advocates for open-source science and ethical AI practices in environmental decision-making. Her work bridges academic research and practical policy tools .

• Tumor Progression
• Metastasis
• Molecular Imaging
• +۷ مورد دیگر

Dr. Wiltrud Lederle serves as a research group leader at the Institute for Experimental Molecular Imaging within the Medical Faculty of RWTH Aachen University. She earned her PhD from the University of Hohenheim following doctoral work at the German Cancer Research Center (DKFZ) in Heidelberg, and conducted postdoctoral research at DKFZ from 2003 to 2008 before joining RWTH Aachen University in 2008. She completed her habilitation at the Medical Faculty of RWTH Aachen University in 2019, establishing her qualification for a professorship in the German academic system. Dr. Lederle's research program centers on understanding tumor-microenvironment interactions through advanced imaging techniques. Her laboratory investigates: The influence of the microenvironment on tumor progression and metastasis Mechanisms of tumor angiogenesis and immune responses Stromal activation during tumor development Non-invasive imaging of stromal remodeling in tissue repair and organ inflammation Development of innovative imaging technologies for cancer research She employs multiple imaging modalities including molecular ultrasound, photoacoustic imaging, MRI, and optical techniques to visualize biological processes in real-time. Her work spans multiple disease areas including colorectal cancer, breast cancer, and various liver conditions, with particular emphasis on angiogenesis, immune responses, and stromal interactions. A significant trend in her recent publications involves developing and validating novel imaging biomarkers for monitoring therapeutic responses and investigating combination therapies targeting both tumor cells and their supportive microenvironment. Dr. Lederle leads the research group 'Tumor Progression and Metastasis' at RWTH Aachen University with continuous funding from major German research agencies including the German Research Foundation (DFG) and the Federal Ministry of Education and Research (BMBF), as well as through industrial partnerships. Her collaborative research program demonstrates strong translational potential, bridging basic science with clinical applications in cancer diagnosis and treatment monitoring.

Alex 'Sandy' Pentlandمشاهده پروفایل

استاد

• Computational Social Science
• Organizational Engineering
• Wearable Computing
• +۷ مورد دیگر

Alex 'Sandy' Pentland is a Professor at the Massachusetts Institute of Technology (MIT) Media Lab and a HAI Fellow at Stanford University . He has pioneered foundational work in computational social science , organizational engineering , and privacy-preserving data analytics , co-leading the development of the EU’s GDPR and advancing decentralized AI systems. Research Interests: Focus on Reality Mining , Social Physics , and Human-AI Coevolution , blending behavioral science, blockchain, and machine learning to reshape digital economies. Awards: MIT Toshiba Endowed Chair U.S. National Academy of Engineering McKinsey Award (Harvard Business Review) DARPA 40th Anniversary of the Internet Brandeis Award for Privacy Spin-offs: Co-founded companies like Ginger.io (mental health), Cogito Corp (AI coaching), and Prosperia (fairness in social services). Advisory Roles: Member of UN Secretary General’s advisory board, former advisor to OECD, Google, and AT&T. His recent publications emphasize blockchain interoperability , decentralized AI , and trust frameworks , reflecting his commitment to democratizing data governance.

• Radiation Oncology
• Cancer Research
• Clinical Trials
• +۲ مورد دیگر

Dr. Aileen Duffton serves as an Honorary Senior Lecturer within the School of Cancer Sciences at the University of Glasgow, based at the Beatson West of Scotland Cancer Centre in Glasgow. Her academic role centers on advancing radiation oncology through research and clinical collaboration, with a focus on optimizing radiotherapy delivery systems and patient-centered care pathways. Her research spans Radiation Oncology , Cancer Research (particularly rectal and prostate malignancies), Clinical Trials infrastructure, Medical Imaging integration, and Patient Experience optimization. Key investigations examine radiographer-led clinical trial coordination, patient information efficacy, and advanced practice models for radiation therapy technicians (RTTs), reflecting a commitment to workforce innovation in oncology services. Publication analysis (2018-2025) reveals consistent emphasis on stereotactic ablative radiotherapy (SABR), hypofractionation protocols, and in-silico treatment modeling. Her work bridges technical radiotherapy physics with pragmatic clinical implementation, notably through Scottish Radiographer Research Forum collaborations addressing real-world challenges in trial recruitment and dose verification. No scientific awards were documented in source materials. While her extensive co-authorship indicates active research mentorship, specific student advising records remain unreported. Collaborative networks prominently feature Scottish healthcare institutions including the Beatson Centre and University of Glasgow departments, with no dedicated lab or team structures specified.

• Medical Image Analysis
• Artificial Intelligence
• Healthcare
• +۹ مورد دیگر

Cherise Chen is an Assistant Professor in Computer Vision at the Department of Computer Science, University of Sheffield. She also holds positions as a Visiting Researcher in the Oxford BioMedIA Group at the University of Oxford and an Honorary Research Fellow at Imperial College London. As a core member of the Insigeno Institute and Shef.AI community, Dr. Chen leads research at the intersection of artificial intelligence and healthcare, focusing on translating cutting-edge AI techniques into practical medical applications. Dr. Chen's research program centers on developing robust, data-efficient machine learning algorithms for medical image analysis. Her work spans adversarial data augmentation, robust machine learning frameworks, and data-efficient learning techniques including self-supervised, few-shot, and semi-supervised approaches. She has made significant contributions to multi-task and multi-modal learning, adaptive machine learning systems, and algorithms with built-in considerations for fairness, privacy, robustness, and interpretability. Her research specifically targets clinical applications in cardiac image analysis (including segmentation, registration, and shape remodeling with quality control), prostate image analysis integrated with pathological image analysis, and brain image segmentation for clinical use cases. Analysis of Dr. Chen's recent publications reveals a strong focus on addressing the practical challenges of deploying AI in real-world medical settings. Her work on test-time adaptation methods (2023), adversarial style composition (2022), and cooperative training frameworks (2021) demonstrates her commitment to creating AI systems that maintain performance despite domain shifts and limited labeled data. She has consistently contributed to top-tier medical imaging conferences, with multiple papers accepted to MICCAI from 2018-2023, reflecting her standing in the medical imaging research community. IEEE TMI Gold-level Distinguished Reviewer Award (2022-2023) MICCAI 2023 Outstanding Reviewer Award Winner of the Fetal Tissue Annotation and Segmentation Challenge (FeTA) 2022 Winner of the Multi-sequence Cardiac MR Segmentation Challenge 2019 China National Scholarships (twice, top 0.2%) Dr. Chen actively mentors students and has delivered invited talks at prestigious institutions including Johns Hopkins University, Technical University of Munich, and the German Cancer Research Center. Her laboratory at Sheffield focuses on advancing deep medical image segmentation with particular attention to robustness, reliability, and real-world applicability in clinical workflows.