جستجوی استاد راهنمای دانشگاهی

Dr Mobarak Hoque serves as a Senior Lecturer in the Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester. He concurrently holds an external position as Honorary Senior Research Fellow at University College London (UCL) from July 2025 to June 2028. Academic Background: Doctor of Philosophy in Representation Learning in Multimodal Spatiotemporal Image-Guided Medical Procedures, National University of Singapore (NUS), awarded 2019 Research Expertise: Dr Hoque's work centers on Biomedical Data Science and Artificial Intelligence with specialization in Multimodal Large Language Models , Vision-Language Models , and Safe and Responsible AI . His research directly addresses UN Sustainable Development Goal 3 (Good Health and Well-being) through innovations in surgical robotics, medical imaging, and endoscopic procedures including polyp segmentation and low-light enhancement. Publication Trends: Recent publications (2023-2025) reveal a cohesive research trajectory focused on robust AI for surgical applications. Key methodologies include adversarial feature disentanglement, semi-supervised learning frameworks, and multimodal integration of vision-language models. His work consistently targets real-world clinical challenges like instrument segmentation, surgical workflow recognition, and low-light endoscopy enhancement using advanced techniques such as wavelet attention and diffusion models. Academic Supervision: Dr Hoque actively mentors PhD candidates in Biomedical Data Science and AI, particularly welcoming students interested in multimodal learning and responsible AI deployment for healthcare applications.

• Biomedical Data Science
• Artificial Intelligence
• Medical Imaging
• +۳ مورد دیگر

Benyuan Liu is a Professor at the Miner School of Computer and Information Sciences within the Kennedy College of Sciences at the University of Massachusetts Lowell . He serves as Director and Graduate Coordinator for Ph.D. programs, with expertise in Data and Computer Communication Networks, Mobile and Wireless Networks, and Internet Technologies & Applications. Education: B.S., University of Science and Technology of China M.S., Yale University Ph.D., University of Massachusetts Amherst His research focuses on Artificial Intelligence in Medical Imaging , Deep Learning for Endoscopy , and Edge Computing Systems . Recent work includes automated lesion detection, 3D reconstruction from sensor data, and predictive models for financial and reproductive health domains. The 15 most recent publications highlight applications of deep learning in medical diagnostics (thyroid nodules, gastric lesions, dental caries), computer vision (attention mechanisms, transformers), and financial technology (market psychology analysis). Technical themes include mmwave radar processing, diffusion models for synthetic data, and multi-scale feature extraction. Benyuan Liu leads the Computer Networking Lab and CHORDS initiative at UMass Center for Digital Health. His work bridges network optimization with healthcare AI , emphasizing real-time systems and portable diagnostics.

• Data and Computer Communication Networks
• Mobile and Wireless Networks
• Internet Technologies & Applications
• +۳ مورد دیگر

Adam C Stein is an Associate Professor in the Department of Medicine at Northwestern University's Feinberg School of Medicine, specializing in gastrointestinal disorders of the small bowel. He provides clinical care at Northwestern Memorial Hospital and Ann & Robert H. Lurie Children's Hospital of Chicago, with expertise in Crohn's disease, celiac disease, intestinal failure, and malnutrition management. Education: MD from University of Illinois, Chicago (2007) Residency in Internal Medicine at University of Chicago (2010) Fellowship in Gastroenterology at University of Chicago (2013) Fellowship in Nutrition at University of Chicago (2014) Dr. Stein's research focuses on small bowel pathologies including obscure gastrointestinal bleeding, cystic fibrosis-related GI complications, and advanced endoscopic techniques like video capsule endoscopy and double balloon enteroscopy. His clinical work emphasizes nutritional support through parenteral nutrition and tube feeding for complex malabsorption syndromes. Recent publications (2022-2024) demonstrate concentrated research on gastrointestinal manifestations in rare diseases (nephropathic cystinosis) and cystic fibrosis, with particular attention to nutritional management barriers and drug safety profiles in inflammatory bowel disease therapies. No scientific awards are listed in the current profile. Information regarding student advising and research grants is not specified in available materials, though Dr. Stein maintains active industry collaborations through consulting roles with AbbVie, Amgen, and Takeda Pharmaceuticals. As a member of the Division of Gastroenterology and Hepatology, Dr. Stein collaborates with multidisciplinary teams across Northwestern Medicine's academic hospitals, contributing to clinical committees including the ACG Training Committee (2017-2023) and editorial boards such as Current Gastroenterology Reports (2019-2023).

• Gastroenterology
• Hepatology
• Inflammatory Bowel Disease
• +۵ مورد دیگر

Nam Ha Van is a Visiting Faculty member at Soongsil University's Department of Electrical Engineering and Automation. Active in wireless power transfer (WPT) research, they have published extensively on coil dynamics, frequency optimization, and industrial/medical applications of WPT systems. Doctoral degree in Engineering and Technology from Soongsil University (Feb 2019) Their research focuses on Wireless Power Transfer through biological tissues and industrial environments, Antenna Engineering for biomedical applications, and Optimal Frequency Analysis in electromagnetic systems. Recent work explores microwave-optical hybrid components for capsule endoscopy and planar coil configurations for robotic charging. From 2021-2025, Van's 17 research outputs include 12 peer-reviewed articles and 5 conference proceedings. Key trends involve industrial WPT systems (automotive robotics, multi-receiver architectures) and biomedical WPT (capsule endoscopy, tissue frequency optimization). Technical areas span MHz frequency operation , coil dynamic theory , and parasitic capacitance mitigation .

• Wireless Power Transfer
• Antenna Engineering
• Optimal Frequency Analysis
• +۳ مورد دیگر

Gökhan Alcan is an Assistant Professor in Robotics and Machine Learning at the Automation Technology and Mechanical Engineering Unit of Tampere University, Finland. He leads the Advanced Learning, Control and AutomatioN (ALCAN) Research Group, focusing on safe model predictive control, constrained optimal control theory, reinforcement learning, and their applications to dynamical systems. His research addresses challenges in robotic manipulation, safe navigation, and human-robot collaboration through projects like the Aurora initiative on automated and connected machines. Education: B.Sc., M.Sc., and Ph.D. in Mechatronics Engineering from Sabanci University (2008–2019). Postdoctoral research at Sabanci University (2019) and Aalto University (2020–2024). Research Interests: Robotics, control theory, system identification, autonomous systems, and machine learning applied to robotic manipulation, autonomous vehicles, and safety-critical systems. Notable work includes trajectory optimization for hybrid systems, magnetic manipulation for medical applications, and sim-to-real gap analysis in cloth manipulation. Awards: Third Place in Aalto Open Science Award 2023, Elginkan Foundation Technology Award (2016), and multiple scholarships. Advised Ph.D. student David Blanco Mulero, who defended his thesis on robotic manipulation of deformable objects. Labs/Teams: ALCAN Research Group, former roles in Aalto University's Intelligent Robotics Group and Sabanci University's Control, Vision, and Robotics (CVR) Group.

• Robotics
• Machine Learning
• Control Theory
• +۵ مورد دیگر

Mariana Dalarsson is an Associate Professor in Electromagnetic Theory at the Division of Electromagnetic Engineering and Fusion Science (EMF) within the School of Electrical and Computer Engineering (EECS) at KTH Royal Institute of Technology. She holds an MSc (2010), PhD (2016), and Docent (2019) from KTH, where she is recognized as the (shared) second youngest woman ever to receive a PhD degree from the institution. Her research spans electromagnetic scattering and absorption, inverse problems, electromagnetics of stratified media, double-negative metamaterials, electromagnetics in medicine, antenna theory, and mathematical physics. She has authored approximately 102 peer-reviewed publications, including 51 journal papers, with recent work focusing on gold nanoparticles for biomedical applications, waveguide theory for artificial materials, and plasmonics. Analysis of her recent publications reveals a strong focus on graded metamaterials, electromagnetic wave propagation in complex media, and biomedical applications of electromagnetic theory. Her work bridges fundamental electromagnetic theory with practical applications in medical technology, particularly in the areas of nanoparticle-based treatments and diagnostic systems. Honorary Grant ("Honnörsstipendiet") for best graduate of her program (2011) L'Oréal-Unesco For Women in Science Sweden Prize (2020) Göran Gustafsson Prize for Young Researchers at UU/KTH (2024) Teaching Assistant of the Year from Engineering Physics students (2015) Mariana is highly active in teaching, serving as course responsible and examiner for EI1222 Electromagnetic Theory, EI2405 Classical Electrodynamics, and FEI3304 Integral Equation Methods in Electromagnetics. She also co-teaches several other courses and regularly supervises multiple BSc/MSc theses annually. Her research is primarily funded through her own project grants from the Swedish Research Council, including "Waveguide theory for artificial materials and plasmonics" (2019) and "Gold nanoparticles for high-frequency deep brain stimulation" (2023).

• electromagnetic scattering
• electromagnetic absorption
• inverse problems
• +۵ مورد دیگر

Dr. Savanna Thor serves as Assistant Professor of Medicine and Program Director of the GI Fellowship Program within the Department of Gastroenterology and Hepatology at SUNY Downstate Health Sciences University's School of Medicine. She specializes in advanced endoscopic diagnostics and treatment of gastrointestinal disorders through the Digestive Disease Center. Her educational background includes: Doctor of Osteopathic Medicine (DO) from Lake Erie College of Osteopathic Medicine, Erie, Pennsylvania Internal Medicine Residency at Drexel University/Hahnemann University Hospital, Philadelphia, Pennsylvania Gastroenterology and Hepatology Fellowship at Drexel University/Hahnemann University Hospital, Pennsylvania (serving as Chief Fellow) Dr. Thor's clinical expertise focuses on complex motility disorders including pelvic floor dysfunction, swallowing abnormalities, and anorectal conditions. Her research integrates patient education with health disparities analysis in gastrointestinal care, particularly for colorectal cancer screening accessibility and functional GI diseases. Procedural capabilities span upper endoscopy, colonoscopy, esophageal/anorectal manometry, capsule endoscopy, and impedance testing. As Fellowship Program Director, she oversees gastroenterology trainee development while maintaining active clinical practice. Her work emphasizes translating motility disorder research into practical patient management strategies for conditions like chronic constipation and fecal incontinence within underserved populations.

• Pelvic Floor Dysfunction
• Constipation
• Fecal Incontinence
• +۶ مورد دیگر

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +۵ مورد دیگر

Chi-Kwan Lee is a Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering since 2024. Previously, he held roles including Associate Professor (2018-2023) and Assistant Professor (2012-2017) at the University of Hong Kong. He earned his B.Eng. and Ph.D. in Electronic Engineering from City University of Hong Kong (1999 and 2004). His research focuses on electric power conversion, electromagnetic devices, wireless power transfer, renewable energy, and smart grid technologies. He was a Visiting Researcher at Imperial College London (2010-2020). Research Highlights: Prof. Lee has pioneered advancements in wireless power transfer for medical devices (e.g., capsule endoscopy) and electric vehicles, with breakthroughs in efficiency optimization and misalignment mitigation. His work on hybrid stepper motor systems and magnetoresistive sensors addresses challenges in contactless actuation and high-voltage current sensing. Awards & Contributions: A Senior Member of IEEE and recipient of the 2015 IEEE Power Electronics Society Transactions First Prize Paper Award. He serves on IEEE PELS committees and editorial boards of key journals like IEEE Transactions on Power Electronics. Grants & Labs: Active in funded research projects related to wireless charging systems, smart grids, and renewable energy integration. His work spans academic collaborations, industry partnerships, and international conferences.

• Electric Power Conversion
• Electromagnetic Devices
• Wireless Power Transfer
• +۲ مورد دیگر

Professor Pietro Valdastri is a Full Professor and Chair in Robotics & Autonomous Systems at the University of Leeds. He directs the Science and Technologies Of Robotics in Medicine (STORM) Lab, the Institute of Robotics, Autonomous Systems and Sensing (IRASS), and the Robotics at Leeds network. His expertise spans surgical robotics, robotic endoscopy, and magnetic manipulation, with a focus on developing soft magnetic surgical robots (SMSRs) for minimally invasive medical procedures. Valdastri holds a Laurea in Electronic Engineering (University of Pisa, 2001) and a PhD in Biomedical Engineering (Scuola Superiore Sant’Anna, 2006). He previously served as Assistant Professor at Scuola Superiore Sant’Anna (2006–2011) and Vanderbilt University (2011–2016) before joining Leeds in 2016. His research aims to leverage magnetic actuation for surgical navigation, with applications in cancer therapy and endoscopy. Key awards include the NSF CAREER Award (2015), ERC Consolidator Grant (2019), and KUKA Innovation Award (2019). He is a Royal Society Wolfson Research Fellow, IEEE Fellow, and editor for IEEE Robotics and Automation Letters. His work has been featured in major media outlets like the BBC, New Scientist, and WIRED. Valdastri has secured over £25M in grants from NSF, NIH, ERC, EU-H2020, and industry partnerships. He co-founded WinMedical srl (acquired in 2017) and Atlas Endoscopy Limited, advancing robotic colonoscopy platforms. Current research emphasizes autonomous robotic systems, magnetic tentacles for lung therapy, and patient-specific surgical tools.

• Surgical Robotics
• Robotic Endoscopy
• Medical Robotics
• +۵ مورد دیگر

Zachary Taylor is an Associate Professor at Aalto University's School of Electrical Engineering, specializing in terahertz science and biomedical engineering. His research focuses on advanced imaging and spectroscopy techniques for medical diagnostics. Specialized in terahertz and microwave-optical systems Recipient of Aalto University Doctoral Thesis Award Active in IEEE Transactions and IRMMW-THz conferences His work spans innovative technologies like Gaussian beam analysis for corneal sensing, quasioptical calibration methods, and frequency diversity applications in holography. Recent publications highlight his contributions to radiation oncology predictive modeling and millimeter-wave measurement systems. Key research domains include: Terahertz biomedical imaging Microwave-optical component integration Computational electromagnetic modeling MRI-guided radiotherapy prediction Reflective optical system design Precision calibration techniques Scientific Recognition: Aalto University School of Electrical Engineering Doctoral Thesis Award Prof. Taylor leads the Zachary Taylor Group, advising multidisciplinary researchers across terahertz science, medical physics, and computational modeling. His team's recent work demonstrates cross-domain applications from corneal diagnostics to cancer treatment prediction.

• Terahertz Science
• Biomedical Engineering
• Medical Imaging
• +۳ مورد دیگر

Katsuyuki Haneda serves as Associate Professor in Aalto University's Department of Electronics and Nanoengineering within the School of Electrical Engineering. Holding a Doctor of Engineering from Tokyo Institute of Technology (2007), his research pioneers high-frequency radio systems including millimeter-wave and Sub-THz communications, with critical applications in medical devices, post-disaster scenarios, and Internet-of-Things networks. Education: Doctor of Engineering, Tokyo Institute of Technology, 2007 Research Focus: Dr. Haneda's work spans Physical layer wireless communications , Antennas and propagation , and RF instrumentation , with groundbreaking contributions to wireless medical applications (notably capsule endoscopy) and in-band full-duplex radio technologies . His group develops advanced channel models for 6G while addressing real-world challenges in post-disaster communications through experimental validation. Publication Trends: Recent 2025 works reveal concentrated advancements in Sub-THz/D-Band communications, featuring innovative antenna designs for 28 GHz systems, channel modeling techniques for 3GPP-like standards, and medical wireless solutions. Publications demonstrate strong experimental emphasis with field measurements across urban, indoor, and medical environments. Scientific Recognition: ISMICT 2019 Best Paper Award (medical wireless) Dual 2013 Best Paper Awards (IEEE VTC Spring & EuCAP) IEICE Best Survey Paper (2015) IEEE AP-S Young Engineer Award (2007) Tokyo Tech Honorary Student Award (2002) Leadership & Collaboration: As Associate Editor for IEEE Transactions on Antennas and Propagation (2012-2016) and Wireless Communications (2013-present), Dr. Haneda shapes field standards. He co-chairs the radio channel working group in COST Action IRACON (CA15104), driving European 5G+/6G research collaboration while supervising graduate researchers in experimental high-frequency communications. Research Infrastructure: The Katsuyuki Haneda Group maintains specialized laboratories for millimeter-wave/Sub-THz channel sounding, antenna characterization, and medical wireless prototyping, supporting hardware-in-the-loop validation for next-generation communication systems.

• Physical layer wireless communications
• Antennas and propagation
• RF instrumentation and measurements
• +۷ مورد دیگر

Helder Araujo is a Professor at the Department of Electrical and Computer Engineering, University of Coimbra. His research focuses on Robot Vision , Computer Vision , and Medical Imaging , with applications in Capsule Endoscopy , Autonomous Driving , and Sensor Fusion . Recent publications highlight advancements in 3D Object Detection using transformer networks (e.g., RetSeg3D , DDet3D ), Medical Robotics (e.g., Self-supervised monocular pose estimation ), and Federated Learning (e.g., FAIR-FATE ). Key subfields include Transformer Models , Deep Learning , and Autonomous Navigation . His projects span Medical Imaging (e.g., Multi-Cam Capsule Endoscopy ), Autonomous Robotics (e.g., Learning to Navigate Endoscopic Capsule Robots ), and Edge Computing (e.g., Benchmarking CNN Inference on Low-Power Devices ). Grants include funding from Fundação para a Ciência e a Tecnologia (e.g., PTDC/EEI-ROB/1155/2020) and the European Commission (e.g., AdvanCed Hardware/Software Components for Embedded Vision). He has served as an invited researcher at Université Blaise Pascal (2012–2014). Peer review activities cover journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and Autonomous Robots . His work bridges Medical Imaging , Autonomous Systems , and AI Fairness .

• Robot Vision
• Robot Navigation
• Computer Vision
• +۷ مورد دیگر

Donald E. Brown is the W.S. Calcott Professor in the Systems and Information Engineering Department at the University of Virginia, serving as Founding Director of the Data Science Institute and Co-Director of the Translational Health Institute of Virginia. He holds a B.S. from the United States Military Academy (1973), M.S. and M.E. from UC Berkeley (1979), and a Ph.D. from the University of Michigan (1985). His research focuses on data fusion, knowledge discovery, and predictive modeling with applications in healthcare, security, and safety. Dr. Brown leads over 90 federal/state/private research projects, publishes extensively (120+ papers, 2 books), and is a Fellow of the IEEE. He has received prestigious awards including the Norbert Wiener Award and IEEE Millennium Medal. His work bridges academia and industry through Commonwealth Computer Research, Inc., providing data analysis services. He advises on national committees including the National Research Council and the NRC Committee on Transportation Security. His teaching excellence was recognized by students three times as 'best undergraduate teacher' (2001–2003). Research Interests: Data Fusion, Knowledge Discovery, Simulation Optimization, Machine Learning, Predictive Analytics Publications: Focus on healthcare analytics (e.g., Long COVID, tuberculosis, histopathology), AI-driven medical imaging (capsule endoscopy, eosinophil segmentation), and cybersecurity applications. Awards: IEEE Joseph Wohl Career Achievement Award (2017), Governor's Technology Award (1999), Norbert Wiener Award (2002). Grants/Projects: Over 90 funded projects on data science, healthcare tech, and security systems. He leads interdisciplinary initiatives like the iTHRIV Commons for health data sharing and develops AI tools for medical diagnostics at UVA. Current work includes AI in cardiovascular disease prediction, perioperative data digitization for LMICs, and real-time anomaly detection in healthcare systems.

• Data Fusion
• Knowledge Discovery
• Predictive Modeling
• +۵ مورد دیگر

Dr. Cristina Carretero Ribón is a Digestive Specialist and Clinical Associate Professor at the University of Navarra, affiliated with both the Faculty of Medicine and the Faculty of Pharmacy. She works at the Pamplona Headquarters of the University of Navarra Clinic and is a key member of its Cancer Center and Digestive Department. Education: Graduated in Medicine from the University of Navarra (2000), specialized in Digestive System (2005). Specializations: Capsule colonoscopy, capsule enteroscopy, digestive tumor prevention. Research Focus: Her work centers on improving diagnostic techniques such as high-definition endoscopy (NBI) and colon capsule applications for colonic lesions. She contributes to hereditary digestive tumor syndromes and therapeutic endoscopy research. Teaching & Leadership: She actively trains endoscopic capsule readers internationally and is involved in the Web Committee of the Spanish Digestive System Foundation and the Scientific Committee of the Spanish Society of Digestive Endoscopy. Publications: Co-author of 3 books, 6 book chapters, and over 20 articles in national and international journals.

• Digestive Tract Tumors
• Endoscopy
• Hereditary Cancer Syndromes
• +۳ مورد دیگر