جست‌وجوی استاد و پژوهشگر

Gregory D. Hagerمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Medical Imaging
• +۵ مورد دیگر

Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University with joint appointments in Electrical and Computer Engineering, Mechanical Engineering (Whiting School of Engineering), and Surgery (School of Medicine). He serves as founding director of the Malone Center for Engineering in Healthcare and is a member of the Data Science and AI Institute. Research Focus Hager leads the Computational Interaction and Robotics Lab (CIRL), specializing in dynamic spatial interaction at the intersection of imaging, robotics, and human-computer interaction. His pioneering work in real-time computer vision algorithms has driven innovations in surgical training, medical diagnostics, warehouse automation, and ultrasound-guided procedures. Research spans collaborative robotics, time-series image analysis, and AI-driven healthcare systems with over 500 publications. Scientific Recognition IEEE Fellow MICCAI Society Fellow ACM Fellow AIMBE Fellow AAAS Fellow Hans Fischer Fellowship (Technical University of Munich) Fulbright Fellowship Leadership & Service Hager chairs the NSF Computer and Information Science and Engineering Directorate (appointed 2024) and co-founded startups Clear Guide Medical and Ready Robotics. He previously chaired JHU's Computer Science Department (2010-2015) and served as deputy director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems. His advisory roles include Stanford’s AI100 Study, National Academies AI panels, and editorial boards of IEEE Transactions on Robotics and IEEE PAMI. Laboratory Affiliations CIRL operates within the Laboratory for Computational Sensing and Robotics (LCSR) and partners with the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST), focusing on translational healthcare robotics research.

Sami Äyrämöمشاهده پروفایل

دانشیار

• Computer Science
• Machine Learning
• Health Science
• +۱۱ مورد دیگر

Sami Äyrämö is an Associate Professor at the Faculty of Information Technology , University of Jyväskylä. His research bridges machine learning and health science , focusing on innovative applications in biomechanics , medical imaging , and exercise physiology . Specializes in automated scoring systems for medical diagnostics Pioneer in domain-specific transfer learning for healthcare data Develops synthetic data for wellbeing sector innovation His work spans colorectal cancer tissue analysis , ACL injury risk modeling , and dementia detection from speech , with recent studies applying cluster analysis and deep learning to sports biomechanics challenges. Current projects include the WellbeingDataLab initiative for synthetic exercise data, and collaborations with the Computational Data Science Research Group on spectral imaging and health analytics.

Sameer Nathمشاهده پروفایل

دانشیار

• Radiation Oncology
• Prostate Cancer
• Lung Cancer
• +۳ مورد دیگر

Sameer Nath, MD, is an Associate Professor in the Department of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. He holds leadership roles as Vice Chair of Clinical Affairs, Clinical Practice Director at Anschutz Medical Campus, and Medical Director of Radiation Oncology at Highlands Ranch Hospital. Dr. Nath is board-certified in Radiation Oncology and practices at UCHealth Radiation Oncology and Rocky Mountain Gamma Knife Center. MD: University of California, San Diego School of Medicine (2010) Internship: University of California, San Diego (2011) Residency: Yale-New Haven Medical Center, Chief Resident in Radiation Oncology (2015) His research focuses on radiation therapy applications for prostate and lung cancers, brain metastases management, and immunotherapy-radiation combinations. He has pioneered work in stereotactic body radiation therapy (SBRT), tumor hypoxia, radiation pneumonitis prevention, and medical imaging innovations for treatment planning. Recent publications examine oligoprogressive prostate cancer management, radiation oncology nurse education, and deep learning applications in patient positioning. Dr. Nath's 15 most recent publications (2024-2017) demonstrate expertise in prostate cancer (4 articles), lung cancer (4 articles), brain metastases (4 articles), and medical imaging/education (3 articles). Key research themes include SBRT optimization, immunotherapy response monitoring, and radiation toxicity management. American Society of Radiation Oncology (ASTRO) Member Practice locations: UCHealth Radiation Oncology - Anschutz Medical Campus (Aurora, CO) and Rocky Mountain Gamma Knife Center - Anschutz Medical Campus (Aurora, CO) Hospital affiliations: UCHealth Highlands Ranch Hospital and University of Colorado Hospital

Navid Farajiمشاهده پروفایل

استادیار

• Radiology Education
• Musculoskeletal Imaging
• Medical Imaging
• +۴ مورد دیگر

Navid Faraji, MD is an Assistant Professor in both the Department of Radiology and Department of Anatomy at Case Western Reserve University School of Medicine. He also serves as Associate Program Director for the Diagnostic Radiology Residency at UH Cleveland Medical Center, where he actively mentors medical students and residents in radiology research initiatives. University: Case Western Reserve University School: School of Medicine Departments: Radiology, Anatomy Academic Rank: Assistant Professor Email: navid.faraji@uhhospitals.org His research spans two primary domains: Radiology Education and Musculoskeletal Imaging . Recent publications demonstrate expertise in: Educational technology integration (e.g., Anki flashcards) Emergency fracture detection tool validation Bone marrow edema patterns in athletes/military trainees Gender equity initiatives in radiology pipeline AI-human collaboration in diagnostic imaging Cross-modality image registration techniques Scientific accolades include the Wei-Shen Chin Award for Medical Student Teaching (2022) . His 2023-2025 publications focus on optimizing radiology workflows, ballet dancer injuries, and incidental lesion analysis, with emerging themes in synthetic imaging and psychological safety frameworks.

• Personalized Learning
• AI in Education
• Equity in STEM
• +۵ مورد دیگر

Leonora Kaldaras is an Assistant Professor in the Department of Curriculum & Instruction at Texas Tech University College of Education. Her research focuses on equitable personalized learning, AI-driven assessment systems, and cognitive development in STEM education. She holds a dual Ph.D. in Curriculum, Instruction and Teacher Education and Measurement and Quantitative Methods from Michigan State University (2020) and has worked with Nobel laureate Carl Wieman on AI-guided feedback tools. Education: Dual Ph.D. (2020), Michigan State University Science Education Certificate, BGSU B.S. in Chemistry (2009), BGSU Research Interests: Personalizing learning through technology, equity in blended/personalized learning, and fostering knowledge transfer via self-guided strategies. She specializes in NGSS-aligned assessments and AI-enhanced feedback systems for STEM education. Article Trends: Her recent work (2023-2025) emphasizes AI-driven assessment design, NGSS-aligned learning progressions, and cognitive frameworks for math-science integration. Earlier publications (2012-2016) focus on biophysics but transitioned to education post-2020. Scientific Awards: New and Noteworthy Invited Symposium by American Chemical Society Top Downloaded Article (JRST, 2019) Top Cited Article (JRST, 2021-2022) Grants: NSF DrK-12 Co-PI (2022-2026) for AI feedback systems in NGSS classrooms. Labs & Collaborations: Formerly at Stanford University Graduate School of Education and University of Colorado Boulder PhET Interactive Simulations Project, working closely with Nobel laureate Dr. Carl Wieman.

• Human-Computer Interaction (HCI) Education
• Inclusive Design
• Computing Education Research
• +۳ مورد دیگر

Alannah Oleson is an Assistant Professor in the Department of Computer Science at the University of Denver's Ritchie School of Engineering and Computer Science. Her work focuses on inclusive design, computing education, and addressing equity issues in technology. She is actively involved in the KIHA Innovation Labs, exploring human-centered approaches to computing education and HCI. Her research investigates how demographic factors influence learning outcomes in computing courses, develops pedagogical methods for teaching inclusive design (e.g., the CIDER framework), and examines the ethical implications of technology in K-12 and university settings. Notable areas include algorithmic fairness, gender bias in software systems, and culturally responsive computing education for underrepresented groups. Dr. Oleson's research emphasizes practical methods for integrating critical thinking into software design processes, with recent work exploring peer feedback systems for equity analysis in large courses and curriculum reforms to promote ethical awareness. Her contributions bridge theory and practice, aiming to make computing education more equitable and socially responsible.

• Sports Medicine
• Cardiovascular Health
• Health Services Research
• +۷ مورد دیگر

Hilde Moseby Berge is an Associate Professor in the Department of General Practice at the University of Oslo. Her research focuses on cardiovascular health in athletes, injury and illness prevention in elite sports, and the psychological and social impacts of cardiac arrest survival among young exercisers. She has collaborated extensively with institutions like the Norwegian Olympic and Paralympic committees, contributing to longitudinal health monitoring programs for athletes. Her work includes evaluating automated external defibrillator (AED) availability in sports clubs and analyzing post-surgical outcomes for musculoskeletal injuries. Berge is also affiliated with the Clinical General Practice Research (Allmix) and General Practice Health Services Research (ALHF) groups, emphasizing her commitment to practical healthcare solutions. Key research themes include: 1) Cardiac events in sports contexts, 2) Health disparities affecting Paralympic athletes, and 3) Long-term health surveillance for Olympic/Paralympic participants. Her studies often use systematic reviews and multi-year cohort analyses, with findings published in journals like British Journal of Sports Medicine and Resuscitation . Berge’s contributions to healthcare systems include designing prevention protocols for sudden cardiac arrest and investigating bone density issues in elite Para athletes. She has co-authored over 15 peer-reviewed articles since 2014, addressing topics such as ECG interpretation in athletes, post-cardiac arrest quality of life, and the epidemiology of sports-related injuries. Her work bridges clinical research and real-world healthcare applications, particularly in sports medicine and emergency preparedness.

Taran Raiمشاهده پروفایل

پژوهشگر

• Computational Pathology
• Deep Learning
• Digital Pathology
• +۳ مورد دیگر

Dr. Taran Rai is a Researcher at the University of Surrey, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP) and the School of Veterinary Medicine. His work focuses on computational pathology, deep learning for medical imaging, and applying AI to veterinary medicine. Rai holds a PhD and has contributed to advancements in necrosis and mitosis detection in canine tumors, leveraging CNNs and digital pathology. His research interests include AI-driven diagnostic tools, social media listening for health insights, and optimizing neural networks for medical applications. He has published extensively on topics like synthetic histopathology data evaluation, diffusion models, and adaptive thresholding methods in pathology. Rai's recent work explores the integration of large language models with medical imaging (e.g., the IPATH dataset) and addresses challenges in veterinary healthcare through social media data. His studies often bridge computational methods with real-world clinical needs, aiming to improve diagnostic accuracy and patient care.

Cristiana Bolchiniمشاهده پروفایل

استاد

• Dependability
• Fault Tolerance
• Reliability Analysis
• +۸ مورد دیگر

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

• Medical Robotics
• Agricultural Robotics
• Infrastructure Robotics
• +۴ مورد دیگر

Chao Chen is an Associate Professor at the Department of Mechanical & Aerospace Engineering, Monash University, and Director of the Laboratory of Motion Generation and Analysis (LMGA). He holds an adjunct position as Associate Professor at the Chinese University of Hong Kong. His research focuses on medical, agricultural, and infrastructure robotics, emphasizing design, dynamics, control, and intelligence. Key innovations include the Robotic Transverse Profiler (delivered to the Australian Road Research Board in 2016), the 3D Printed Prosthetic Hand (2017 Award), and the Apple Harvesting Robot (2019 Global AI Expo). Dr. Chen has secured over $2M in lead research funding and contributed to $18M in collaborative projects, supported by ARC, Collier Charitable Fund, and International Science Linkages. His awards include the 2017 Innovation Award from the Australian Hand Therapy Association and scholarships from ASME and FQRNT. Education: PhD in Mechanical Engineering (details not explicitly stated in text) Research interests span medical robotics (surgery and rehabilitation), mobile robotics with advanced mobility, and reconfigurable mechatronic systems . LMGA’s mission is to address real-world challenges via robotic technologies, targeting healthcare, agriculture, and infrastructure sectors. Recent projects include fruit harvesting systems, drug delivery sensors, and embodied AI frameworks. Publications highlight advancements in robotic perception (e.g., LiDAR-camera fusion), control systems, and tactile-enabled grasping. His work aligns with UN Sustainable Development Goals, particularly in advancing industry innovation and infrastructure (SDG 9) and sustainable agriculture (SDG 2). Awards: 1996 Dean’s Honor List (Shanghai Jiao Tong University), 2004 ASME Scholarship, 2005 FQRNT Doctorate Scholarship Grants and collaborations include leading the ALF 1 Transverse Profiler and participating in the $18M ARC Smart Process Design Hub . Current projects address robotic fruit harvesting, hydrogel drug delivery systems, and AI-driven manipulation frameworks. Labs/Teams: Director of LMGA, collaborating internationally with institutions like IRCCyN (France), Shanghai Jiao Tong University, and Agriculture Victoria.

Luan Oliveiraمشاهده پروفایل

استادیار

• Precision Agriculture
• Agricultural Engineering
• Crop Production
• +۳ مورد دیگر

Dr. Luan Oliveira is an Assistant Professor and Precision Agriculture Extension Specialist at the University of Georgia's College of Agricultural & Environmental Sciences (CAES), Department of Horticulture. His roles are distributed as 75% Extension, 20% Research, and 5% Service. He holds a Ph.D. in Agronomy (Crop Production) from São Paulo State University and a B.Sc. in Agronomic Engineering from Federal University of Paraíba, Brazil. His research focuses on precision agriculture tools, agricultural machinery optimization for vegetables and specialty crops, and mechanized operations like planting, spraying, and harvesting. He leads the Precision Horticulture Team, aiming to improve crop quality through innovative technologies. Dr. Oliveira has received the 2021 Gerald O. Mott Award for Meritorious Graduate Student in Science. He has authored/co-authored 9 refereed articles, 7 Extension Publications, 40 conference papers, and 13 book chapters, securing ~$220,000 in grants as PI/Co-PI. His work emphasizes practical applications in precision agriculture, including drone spraying, robotic systems, and mechanized sugarcane planting. Key grants and awards highlight his contributions to agricultural technology and crop management. His research spans diverse crops like peanuts, corn, cotton, and sugarcane, addressing challenges in seeding depth, soil compaction, and equipment wear. He collaborates with the Institute for Integrative Precision Agriculture and UGA's Precision Agriculture initiatives.

Jeyeon Joمشاهده پروفایل

استادیار

• Wearable Sensors
• Assistive Technology
• Textile Engineering
• +۷ مورد دیگر

Jeyeon Jo is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. Her research focuses on wearable sensors, assistive technology, and ergonomic design, with an emphasis on sustainable materials and healthcare applications. She holds a Ph.D. in Human Centered Design from Cornell University (2023), an M.S. in Fashion Design (2017), and a B.S. in Clothing and Textiles (2014), both from Seoul National University. **Education:** Ph.D. Human Centered Design, Cornell University (2023) M.S. Fashion Design, Seoul National University (2017) B.S. Clothing and Textiles, Seoul National University (2014) **Research Interests:** Jeyeon develops wearable healthcare solutions using stretchable fiber optics and passive RFID, with a focus on optimizing user comfort and performance. Her work spans assistive technologies, firefighting gear ergonomics, and cross-cultural studies of clothing's sociocultural role. Recent projects include sustainable textile prototyping (LeatherBoard) and gait-monitoring systems (RFInsole). **Awards:** Human Service Studies Graduate Fellowship (Cornell, 2022) Best Brief at ISWC 2021 (2021) Roberta G. & John B. De Vries Graduate Award (Cornell, 2020) **Grants & Advising:** Currently no grants explicitly listed; actively advising students in wearable tech and textile engineering. Editorial roles include Fashion and Textiles (2024–present) and Korean Fashion & Textile Research Journal (2025–2026).

Dina Katabiمشاهده پروفایل

استاد

• Digital Health
• Wireless Sensors
• Machine Learning
• +۳ مورد دیگر

Dina Katabi is the Thuan and Nicole Pham Professor of Electrical Engineering and Computer Science at MIT, leading the Katabi Lab and directing the MIT Center for Wireless Networks and Mobile Computing. Her research bridges AI, wireless systems, and digital health, focusing on non-invasive health monitoring via wireless signals and machine learning. She is a MacArthur Fellow and holds the Andrew & Erna Viterbi Professorship. Key research areas include emotion recognition (EQ-Radio), sleep posture monitoring (BodyCompass), and through-wall human pose estimation. Her lab develops AI systems for biosensors, leveraging RF signals to detect diseases like Parkinson's and Alzheimer's. Notable awards include the ACM Prize in Computing and SIGCOMM's Lifetime Achievement Award. Publications span wireless networks, computer vision, and health tech, with impactful work in CVPR, ECCV, and Nature Medicine. She advises over 20 students/postdocs and collaborates on technologies like in-body backscatter communication and AI-driven drug development monitoring. Labs: Katabi Lab (MIT CSAIL) and the MIT Wireless Center. Ongoing work explores digital biomarkers, self-supervised learning, and scalable health monitoring systems for chronic diseases.

• Biomedical Engineering
• Electrical Impedance Tomography (EIT)
• Medical Device Design
• +۶ مورد دیگر

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

Olivier ALLIXمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Mechanics
• Multiscale Modeling
• +۷ مورد دیگر

Olivier ALLIX is a Professor at the Laboratoire de Mécanique et Technologie (LMT) at École Normale Supérieure de Cachan (ENS-Cachan). His research focuses on computational mechanics, including multiscale modeling of composite materials, structural failure analysis, and non-intrusive coupling strategies. He has held leadership roles such as Head of LMT-Cachan and Vice-president of the International Association for Computational Mechanics (IACM). Expertise: Computational structural mechanics, material failure, inverse problems, and multiscale approaches. Editorial Roles: Associate editor of multiple journals including Computational Mechanics and Computer Methods in Applied Mechanics and Engineering . Awards: IACM Fellow, Euromech Fellow, and recipient of the Gay-Lussac Humboldt Prize (2019). His work integrates experimental mechanics with computational methods, emphasizing big data applications and model validation. He has organized major conferences like the World Congress on Computational Mechanics and co-led international research initiatives such as the IRTG ‘Virtual Material and Structures’ with Hannover University. Teaching includes advanced courses on structural dynamics, composite materials, and computational mechanics at the Master’s level. His research group collaborates with industries like Safran, IFPEN, and DGA on projects involving fatigue analysis, mooring systems, and composite testing.