جستجوی استاد راهنمای دانشگاهی

Jacques Luxمشاهده پروفایل

پژوهشگر

• Theranostics
• Nanomedicine
• Ultrasound Imaging
• +۱۲ مورد دیگر

Jacques Lux is a researcher in the Department of Radiology at the University of Texas Southwestern Medical Center, where he contributes to the Translational Research in Ultrasound Theranostics (TRUST) program. His work bridges chemistry, materials science, and biomedical imaging, with a focus on developing next-generation diagnostic and therapeutic agents. Education: PhD in Chemistry, University of Strasbourg, under Nobel laureate Jean-Pierre Sauvage Postdoctoral training at Faculty of Pharmacy, Strasbourg Postdoctoral research at Scripps Research Institute (La Jolla, CA) Postdoctoral and Research Scientist roles at UCSD Dr. Lux's research focuses on theranostics , particularly the design of activatable ultrasound agents that enable both cancer detection and targeted therapy through drug release or high-intensity focused ultrasound. His work also encompasses stimuli-responsive nanomaterials , including light- and enzyme-activatable systems, and the development of high-relaxivity MRI contrast agents using nanogel platforms. These efforts aim to improve imaging specificity, reduce toxicity, and enable image-guided interventions. The 15 most recent publications highlight a strong trend in multimodal imaging , nanoparticle engineering , and translational biomedical applications . Key themes include ultrasound-triggered therapies, oxygen-generating nanoparticles for hypoxia relief, biosensors for infection detection, and light-responsive drug delivery systems. The research integrates supramolecular chemistry, polymer science, and clinical imaging to create smart, responsive platforms for precision medicine. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Lux has been actively involved in research grants and collaborative projects, particularly in the development of nanoparticle-based theranostic systems and image-guided cancer therapies . His collaborations span chemistry, radiology, and bioengineering, often involving translational studies aimed at clinical application. He has contributed to the design of novel contrast agents, enzyme-loaded nanoparticles, and activatable probes, suggesting sustained funding from biomedical research agencies. He is a key member of the TRUST program at UT Southwestern, a multidisciplinary team focused on advancing ultrasound theranostics. His lab likely involves a team of postdoctoral researchers, graduate students, and engineers working on nanoparticle synthesis, in vivo imaging, and preclinical validation of novel agents. The emphasis on translational research indicates strong institutional and possibly industry partnerships.

Ai-Ping Huمشاهده پروفایل

استاد مدعو

• Agricultural Robotics
• Nonlinear Control
• Vision-Guided Manipulation
• +۲ مورد دیگر

Dr. Ai-Ping Hu is a Principal Research Engineer at the Georgia Tech Research Institute's Intelligent Sustainable Technologies Division and an Adjunct Professor at Georgia Tech's Woodruff School of Mechanical Engineering. His research bridges agricultural robotics and medical robotics through nonlinear control and vision-guided manipulation. Ph.D. in Mechanical Engineering, Georgia Tech B.S. in Mechanical & Aerospace Engineering, Cornell University His primary research areas involve agricultural robotics (harvesting, pollination, and path planning systems for unstructured environments), nonlinear control (adaptive algorithms for underactuated systems like brachiating robots), and vision-guided manipulation (sensor integration for precision tasks in both agricultural and medical contexts). The 15 most recent publications highlight his work in agricultural automation (soft grippers for blackberry harvesting, graph-based path planning) and medical robotics (MRI-guided injection systems, super-resolution imaging for spinal procedures). His technical focus spans soft robotics, sensor integration, and control theory for underactuated systems. Dr. Hu has contributed to robotics education and industrial automation through interdisciplinary courses and patented visual servoing systems for agricultural robots. His work demonstrates cross-domain applications of control theory in both food production and medical devices. Co-founded robotics startup applying learning control to manufacturing robots Active reviewer for IEEE and ASME journals He works within Georgia Tech's Intelligent Sustainable Technologies Division , where his robotics research targets both food and medical technology challenges.

• Radiation Oncology
• Head and Neck Cancer
• Pancreatic Cancer
• +۳ مورد دیگر

Dr. Derek Grose is an Honorary Clinical Associate Professor at the School of Cancer Sciences , University of Glasgow. His clinical and research work focuses on radiation oncology, particularly for head and neck cancers, pancreatic cancer, and geriatric assessment applications in oncology. He actively contributes to clinical trials and real-world evidence studies. Role: Honorary Clinical Associate Professor Institution: University of Glasgow School: School of Cancer Sciences His research emphasizes: Optimizing radiotherapy protocols for head and neck cancers Geriatric evaluation in elderly cancer patients Image-guided radiation techniques and dose verification Investigating biomarkers for treatment response Pandemic-era cancer treatment adaptations Comparative studies of chemoradiotherapy approaches Recent publications highlight advancements in stereotactic ablative radiotherapy for hepatocellular carcinoma, real-world immunotherapy applications in head and neck cancer, and pandemic-related pancreatic cancer treatment guidelines. His work spans technical innovations (e.g., synthetic CT integration) and clinical outcomes research across multiple cancer types.

Tong Liuمشاهده پروفایل

مدرس

• Machine Learning
• Data Science
• Lifelong Learning
• +۱۵ مورد دیگر

Dr. Tong Liu is a Lecturer in Pervasive Data Science at the Department of Computer Science, School of Computer Science, University of Sheffield, UK. Previously, he served as a Research Associate at the Sargent Centre for Process Systems Engineering at both Imperial College London (2022-2023) and the University of Sheffield (2021-2022), and as a visiting researcher at the University of Southampton (2018-2019). His academic journey reflects a strong foundation in control theory and data science with applications across multiple domains. Dr. Liu obtained his B.S. degree in Automation and Ph.D. degree in Control Theory and Engineering in 2016 and 2021, respectively, from Chongqing University, China. During his doctoral studies, he also conducted research at the School of Electronics and Computer Science, University of Southampton (2018-2019). Dr. Liu's research focuses at the intersection of machine learning, data science, and decision-making. His primary expertise lies in advancing sustainable and lifelong AI methodologies for pervasive data analytics to support intelligent decision-making. His work spans multiple application domains including industrial automation, precision agriculture, and healthcare informatics. Specific research areas include lifelong learning, online learning, transfer learning, time series and streaming data analytics, adaptive modeling of dynamic processes, and safe learning and optimization. His research has practical implications for developing more efficient, sustainable, and intelligent systems across various industries. Dr. Liu's recent publications demonstrate a strong focus on lifelong learning frameworks, adaptive modeling for industrial processes, and applications in precision agriculture and healthcare. His work shows a progression from foundational algorithm development to practical implementations in real-world systems. A notable trend is the integration of domain knowledge with machine learning techniques to create more efficient and reliable systems. His research increasingly emphasizes sustainability and safety considerations in AI applications, reflecting broader trends in responsible AI development. Dr. Liu serves as Course Director for MSc Advanced Computer Science at the University of Sheffield. He is actively involved in research funding, including as Co-PI on the KG-PPN project: 'Knowledge Guided Multimodal AI for Automatic Quantification and Infestation Estimate of Plant-Parasitic Nematodes,' funded by Innovate UK (06/2025 - 02/2026, £54,388). His research group, the Pervasive Computing Group, focuses on developing AI solutions for real-world challenges across multiple domains. Dr. Liu is affiliated with the Pervasive Computing Group at the University of Sheffield's School of Computer Science. His research collaborations span multiple institutions including Imperial College London, University of Southampton, and various industry partners including Shell. His work often involves interdisciplinary teams bringing together expertise in machine learning, control systems, and domain-specific knowledge from agriculture, healthcare, and industrial engineering.

Mothaffar F. Rimawiمشاهده پروفایل

استاد

• Breast Cancer Management
• Clinical Trials in Breast Cancer
• Neoadjuvant Therapy
• +۴ مورد دیگر

Mothaffar F. Rimawi, M.D. is the Dan L Duncan Professor and Executive Medical Director & Associate Director of Clinical Affairs at the Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas. His work bridges laboratory research and clinical practice, focusing on HER2-positive, ER-positive, and triple-negative breast cancer . He leads clinical trials for novel therapies, including neoadjuvant treatment optimization and targeted therapy development . Education: MD from University of Jordan; Residency & Fellowships at Baylor College of Medicine His research explores biomarker-driven treatment strategies , mechanisms of drug resistance , and proteogenomic profiling to improve outcomes in advanced breast cancer. Recent articles highlight IRE1alpha's role in triple-negative breast cancer and proteostasis network modulation in KRAS inhibitor resistance. Scientific contributions include pivotal clinical trials like KATHERINE (Trastuzumab Emtansine in residual HER2+ disease) and ATEMPT (adjuvant therapy for stage I HER2+ cancer). He is board-certified in Internal Medicine , Medical Oncology , and Hematology , with affiliations to organizations including ASCO and ASH .

Samir Moradمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Minimally Invasive Surgery
• Flexible Surgical Intervention
• +۴ مورد دیگر

Dr. Samir Morad is a Senior Lecturer in the Department of Engineering & Construction at the University of East London's School of Architecture, Computing and Engineering. He holds a PhD in Medical Robotics from Imperial College London, along with an MSc in Biomedical Engineering and a BEng in Medical Engineering. Education: BEng (Hons) in Medical Engineering, Queen Mary College, University of London (2010) MSc in Biomedical Engineering, Imperial College London (2011) PhD in Medical Robotics, Imperial College London (2015) His research focuses on Medical Robotics for Minimally Invasive Surgeries, including Robotically Assisted Flexible Intervention Devices, 3D Computational Modelling, Finite Element Analysis of Human Tissues, Medical Device Design, and Bio-fluid Mechanics. Key projects involve patient-specific respiratory masks with physiological detectors, tactile feedback systems for spinal needle insertion, and upper limb prostheses for Sitting Volleyball athletes. Recent publications highlight advancements in wearable pressure ulcer monitoring pads, force feedback spinal needles, polymer-based femoral implants, and active constraint control systems for surgical robots. These works integrate biomedical engineering principles with innovative mechanical design. Professional Affiliations: Chartered Engineer (CEng) Member of the Institution of Mechanical Engineers (MIMechE) Fellow of the Higher Education Academy (FHEA)

Mikhail Shapiroمشاهده پروفایل

استاد

• Biomedical Engineering
• Synthetic Biology
• Neuroscience
• +۳ مورد دیگر

Mikhail Shapiro is the Max Delbrück Professor of Chemical Engineering and Medical Engineering at the California Institute of Technology , and an Howard Hughes Medical Institute Investigator since 2021. His research laboratory develops acoustic and magnetic biomolecular tools for imaging and controlling cellular function in vivo. Chemical Engineering Faculty Medical Engineering Affiliation Howard Hughes Medical Institute Investigator Research focuses on noninvasive control of biological systems through: Acoustic reporter genes (ARG 2.0) for real-time tumor monitoring Ultrasound neuroimaging via acoustically transparent cranial windows Gas vesicle engineering for cellular manipulation Microrobotics with acoustic hydrogels His 2024-2025 publications demonstrate breakthroughs in: Nonlinear ultrasound for deep-tissue visualization Acoustic percolation switches for targeted drug delivery SEMPER systems for multi-gene expression control Scientific recognition includes: HHMI Investigator (2021-) Vilcek Foundation Prize in Biomedical Innovation Roger Tsien Award for Chemical Biology Packard Fellowship in Science and Engineering

Stephanie Markovinaمشاهده پروفایل

دانشیار

• Gynecologic Oncology
• Cervical Cancer Research
• Thyroid Cancer
• +۵ مورد دیگر

Dr. Stephanie Markovina is an Associate Professor of Radiation Oncology at Washington University School of Medicine in St. Louis. She holds multiple affiliations including the Division of Cancer Biology, Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), Institute of Clinical and Translational Sciences (ICTS), Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs), and Siteman Cancer Center. She practices clinically at Siteman Cancer Center – South County and Center for Advanced Medicine Radiation Oncology Center, with hospital privileges at Barnes-Jewish Hospital. Her educational background includes a BS in Biology from Washington University (2001), PhD in Cellular and Molecular Biology from University of Wisconsin Madison (2008), MD from University of Wisconsin School of Medicine & Public Health (2011), and Radiation Oncology Residency at Washington University School of Medicine (2015). Dr. Markovina specializes in gynecologic oncology, thyroid cancer, anal cancer and brachytherapy, with research focused on cancer biology. Her work spans cervical cancer biology, tumor immunology, radiation therapy mechanisms, and biomarker discovery. She has made significant contributions to understanding how SERPINB3 affects tumor response to treatment, how HPV expression influences cancer outcomes, and how to improve radiation therapy techniques for gynecologic cancers. Analysis of her recent publications reveals a strong focus on cervical cancer treatment optimization, with particular attention to biomarkers, tumor microenvironment, and resistance mechanisms. Her work combines molecular biology, imaging techniques, and clinical outcomes research to develop more effective treatment approaches. She has also contributed to thyroid cancer guidelines and ovarian cancer treatment protocols. Dr. Markovina is actively involved in mentoring PhD and MSTP students and has demonstrated commitment to advancing cancer research through her extensive publication record. Her work has been cited over 2,300 times according to available metrics. Her laboratory and research team focuses on understanding mechanisms of radiation resistance in gynecologic cancers, particularly cervical cancer, with emphasis on the role of serpins, tumor microenvironment, and immune responses. This work has important implications for developing strategies to overcome treatment resistance.

Jiayi Huangمشاهده پروفایل

استاد

• Neuro-oncology
• Radiation Oncology
• Glioma Research
• +۵ مورد دیگر

Jiayi Huang, MD, MSCI is a Professor of Radiation Oncology at Washington University School of Medicine, where he serves as Chief of the CNS/Gamma Knife Service and Associate Director of the Brain Tumor Center at Siteman Cancer Center. Dr. Huang's educational background includes: BA in Biochemistry from Brandeis University (2001) MD from University of Massachusetts Medical School (2007) Internship at University of Massachusetts Medical School (2008) Residency in Radiation Oncology at William Beaumont Hospital (2012) Master of Science in Clinical Investigation from Washington University in St. Louis (2019) Dr. Huang specializes in Neuro-oncology with a research focus on developing clinical and translational studies for central nervous system malignancies. His work aims to reduce neurocognitive decline from radiotherapy while improving outcomes for brain tumor patients. He has expertise in molecular imaging, glioma research, and cancer stem cells, with particular emphasis on glioblastoma and other CNS tumors. His research spans from basic mechanisms to clinical applications, with a strong translational focus. His recent publications demonstrate a strong focus on innovative radiation therapy approaches, including Gamma Knife radiosurgery, hippocampal-avoidance techniques, and novel combination therapies for glioblastoma. His work shows consistent progression toward more personalized and precise radiation treatments with emphasis on preserving neurocognitive function while maintaining tumor control. Dr. Huang has received several professional recognitions: Teacher of the Year Award from the Department of Radiation Oncology at Washington University (2017) Best Doctors in St. Louis (2017, 2018, 2019) As principal investigator, Dr. Huang leads multiple investigator-initiated phase I and phase II trials for glioblastoma and relapsed meningiomas. His clinical practice encompasses phase 0/1 clinical trials, brain tumors, skull base tumors, and spinal tumors. He collaborates extensively with neurosurgery, medical oncology, and imaging specialists through the Brain Tumor Center and Siteman Cancer Center, contributing to multidisciplinary approaches to brain tumor management. Dr. Huang is affiliated with several key research programs including the Institute of Clinical and Translational Sciences (ICTS), the Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs), and the Brain Tumor Center, where he contributes to multidisciplinary approaches to brain tumor management and research.

Thomas Mazurمشاهده پروفایل

دانشیار

• Radiation Oncology
• Medical Physics
• Image-Guided Radiation Therapy
• +۳ مورد دیگر

Thomas Mazur , PhD, serves as Associate Professor of Radiation Oncology at Washington University School of Medicine . He joined the faculty in 2016 after completing a medical physics residency at the same institution. His academic journey began with a BS in Physics and Mathematics (2007) from Union College, followed by a PhD in Experimental Atomic Physics (2014) at The University of Texas at Austin. Key Research Areas: Image-Guided Radiation Therapy (MR Guidance) Adaptive Treatment Delivery Systems Radiomics and Belief Function Theory Optically Stimulated Luminescence Dosimetry Stable Isotope Enrichment for Radioisotopes Selected Scientific Awards: RO-ILS Physics Safety Star Award (2024) Mentor of the Year – Radiation Oncology (2020) Springer Theses Prize (2015) UT Austin Outstanding Dissertation Award (2014) Dr. Mazur's publications (55 total) demonstrate expertise in tumor motion prediction, radiomics-based outcome modeling, and automated treatment planning systems. Collaborative projects include copper complex anticancer studies and storage phosphor imaging development.

Mark Embertonمشاهده پروفایل

استاد

• Prostate Cancer
• Interventional Oncology
• Medical Imaging
• +۵ مورد دیگر

Mark Emberton is a Professor of Interventional Oncology at University College London (UCL) , with dual roles as an Honorary Consultant Urologist at University College Hospitals NHS Foundation Trust and Dean of UCL Faculty of Medical Sciences since 2015. His work bridges clinical practice and research, focusing on prostate cancer diagnostics and treatment innovation.

Luis Miguel Hernández Acostaمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Computer Vision
• +۳ مورد دیگر

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

Tawfiq Salemمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Tawfiq Salem is an Associate Professor of Practice in the School of Applied and Creative Computing at Purdue University. His research develops computational models for visual and textual data analysis, specializing in computer vision and machine learning applications. He has significantly contributed to computer science education through innovative AI-powered platforms. Education: Ph.D. in Computer Science, University of Kentucky (2019) M.S. in Computer Science, Purdue University-Indianapolis (2012) B.S. in Computer Science, IUG-Gaza (2006) Research Focus: Dr. Salem's work bridges computer vision, machine learning, and educational technology. His core research develops algorithms for: food image segmentation, dynamic visual mapping, metadata verification, and educational tool development. Recent projects include attention-guided food recognition systems, secure coding education platforms, and geospatial appearance modeling. Publication Trends: His 15 most recent publications demonstrate interdisciplinary collaboration across computer vision (image segmentation, timestamp estimation), educational technology (database tools, programming pedagogy), and mechanical engineering (digital pump optimization). Dominant themes include deep learning applications in medical imaging, food science, and geospatial analysis. Awards: Fulbright Scholarship (2010-2012) ACM UK Outstanding Teaching Award (2017) University of Kentucky Teaching Awards (2016) Research Travel Grant (2016) Academic Excellence Recognition (2006)

Alan C. Cupinoمشاهده پروفایل

استادیار

• Nutritional Epidemiology
• Biostatistics
• Clinical Trial Design
• +۳ مورد دیگر

Alan C. Cupino, PhD serves as Assistant Professor and Program Director for the SPH-Epidemiology MPH program at Loma Linda University's School of Public Health. His academic leadership spans curriculum development for epidemiology graduate studies and instruction in biostatistics core courses including STAT 521 (Biostatistics I) and STAT 548 (Analytical Applications of SAS & R). Research interests center on nutritional epidemiology and biostatistical methods for clinical trials. His work bridges public health nutrition with immune function analysis, particularly examining plant-based diets' impacts on cardiometabolic markers through USDA and industry-funded interventions. Earlier research focused on neuroimaging applications in neurosurgery. Recent publications demonstrate a clear research evolution from neuroimaging techniques (2014) toward nutritional clinical trials (2021-2025), with current emphasis on dietary interventions involving almonds, blueberries, and peanuts. His methodological expertise in biostatistics supports complex trial designs examining immune responses to vaccinations and cardiometabolic outcomes. Active grant roles include Statistician for the Alliance for Potato Research & Education project on plant-based diets' sustainability impacts (2023-2025), Co-Investigator for the Almond Board of California's cancer risk study (2024-2025), and Research Technician roles in multiple USDA-funded immunity trials. These projects consistently examine real-world dietary impacts on immune function in specific populations including older adults and overweight individuals.

• Pancreatology
• Gastroenterology
• Hepatology
• +۵ مورد دیگر

Guru V Trikudanathan is a Professor in the Department of Gastroenterology, Hepatology and Nutrition at the University of Minnesota School of Medicine. His clinical and research focus centers on pancreatic disorders, particularly chronic and acute pancreatitis, with significant expertise in endoscopic procedures and surgical interventions for pancreatic conditions. Dr. Trikudanathan's research interests span multiple critical areas in gastroenterology, with particular emphasis on chronic pancreatitis management , total pancreatectomy with islet autotransplantation , and endoscopic approaches to pancreatic duct stones . His work addresses complex clinical challenges in pancreatic diseases, including pain management, exocrine pancreatic insufficiency, and the relationship between pancreatitis and diabetes. His research integrates clinical care with innovative therapeutic approaches, focusing on improving quality of life for patients with chronic pancreatic conditions. Analysis of his recent publications reveals a strong focus on translational research with direct clinical applications. His work demonstrates consistent progression from basic understanding of pancreatic disorders to development and evaluation of innovative treatments. Key themes include endoscopic interventions for pancreatic duct stones, pain management strategies in chronic pancreatitis, and the metabolic consequences of pancreatic surgery. His research bridges gastroenterology, endocrinology, and surgical specialties, reflecting the multidisciplinary nature of pancreatic disease management. Dr. Trikudanathan serves as Principal Investigator for multiple significant research projects, including: An observational study assessing CREON for exocrine pancreatic insufficiency in chronic pancreatitis patients (funded by ABBVIE INC, 2021-2026) A multicenter randomized clinical trial comparing per-oral pancreatoscopy-guided lithotripsy versus extracorporeal shock wave lithotripsy for pancreatic duct stones (funded by University of Colorado Denver and Boston Scientific, 2021-2026) Internet-delivered pain self-management for chronic pancreatitis (as Co-Investigator with Seattle Children's Hospital and NIH, 2023-2025) Data coordinating center for the Type 1 Diabetes in Acute Pancreatitis Consortium (as Co-Investigator with Pennsylvania State University and NIH, 2021-2025) These projects demonstrate his leadership in both industry-sponsored clinical trials and NIH-funded multicenter research initiatives focused on improving outcomes for patients with pancreatic disorders.