Find Academic Supervisors

• Microwave Imaging
• Dielectric Properties
• Antenna Engineering
• +5 more

Mehmet Çayören is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. His research focuses on applying microwave imaging techniques to medical diagnostics, particularly for early detection of breast cancer. He leads the development of the SAFE (Screening and Early Detection) microwave imaging system, which has shown promising results in clinical investigations. His work bridges electrical engineering, biomedical applications, and machine learning for improved cancer screening. Dr. Çayören's research interests span multiple domains within electromagnetic applications for medical imaging: Microwave imaging systems for breast cancer detection and screening Determination of dielectric properties of biological tissues Development of open-ended coaxial probe techniques for material characterization Application of machine learning algorithms (XGBoost, SVM) to enhance medical imaging Monitoring of intracerebral hemorrhage using microwave imaging Development of tissue-mimicking phantoms for medical device validation His recent publications demonstrate a strong trend toward integrating advanced machine learning techniques with microwave imaging systems to improve diagnostic accuracy. The SAFE platform represents a significant advancement in non-invasive breast cancer screening, particularly for dense breast tissue where traditional mammography has limitations. His work also extends to neurological applications, with research on microwave-based monitoring of brain hemorrhages. Scientific awards received by Dr. Çayören include: Teknoloji Ödülü (Technology Award) in 2014 Dr. Çayören has supervised 24 students and leads multiple research projects funded by various sources including TUBITAK. His current projects focus on microwave imaging systems for breast cancer screening, monitoring of intracerebral hemorrhage, and hardware design for microwave imaging systems. He collaborates extensively with medical professionals to validate his imaging systems in clinical settings. Dr. Çayören leads a research group focused on microwave imaging applications in medicine. His team develops both hardware systems (like the SAFE platform) and advanced signal processing algorithms to improve medical diagnostics. The group maintains close collaborations with hospitals for clinical validation of their imaging systems.

• Radiation Oncology
• Brachytherapy
• Stereotactic Radiosurgery (SRS)
• +7 more

Venita L. Williams, M.D., is an Assistant Clinical Professor in the Department of Radiation Oncology at City of Hope, Duarte, CA, a position she has held since 2018. She is also a practicing Radiation Oncologist at St. Joseph Hospital of Orange since 2008. Her clinical expertise spans a wide range of cancers, including brain tumors, head and neck cancers, sarcoma, lymphoma, breast, lung, gastrointestinal, gynecologic, and pediatric malignancies. Education: B.S., University of California, Los Angeles (UCLA), 1998 M.D., University of Rochester School of Medicine & Dentistry, 2003 Internal Medicine Internship, Loma Linda University Medical Center, Loma Linda, CA (2003–2004) Radiation Oncology Residency, University of California Irvine, City of Hope, Long Beach Memorial, and Long Beach VA Medical Centers (2004–2008) Dr. Williams specializes in advanced radiation techniques such as SRS, SBRT, IMRT, and intraoperative radiotherapy (Mobetron), and is trained in Optune therapy. She has a strong interest in Integrative Oncology, emphasizing holistic care during cancer treatment. Her research focuses on enhancing radiotherapy efficacy through technological innovation and combination therapies. Her sole published article explores the use of interstitial hyperthermia during HDR brachytherapy for early-stage prostate cancer, highlighting her focus on improving treatment outcomes through combined modalities. Professional Memberships: American Brachytherapy Society (2007) American Society for Therapeutic and Radiation Oncology (2004) Association of Residents in Radiation Oncology (2004) Radiological Society of North America (2004) American College of Radiology (2004) American Academy of Hospice and Palliative Medicine (2002) American Medical Association (1998) Dr. Williams is actively involved in patient education and clinical trials, contributing to both local and international research protocols. She has no listed advisees or formal grants, but her multidisciplinary training and technological expertise position her as a key contributor to modern radiation oncology practice. She is fluent in Spanish and Taiwanese.

• Cancer Research
• Epidemiology
• Oncology
• +3 more

Dr. med. Anne Schlesinger-Raab, MPH, is a researcher affiliated with the Institute for Medical Information Processing, Biometry and Epidemiology at Ludwig Maximilian University of Munich (Medical Faculty). Her work focuses on cancer epidemiology, treatment outcomes, and quality of life in oncology patients. Research Interests: Cancer epidemiology, metastasis risk, treatment delays, radiation therapy effects, and quality of life studies across multiple cancer types. Selected Publications: 15 recent articles spanning breast cancer, colorectal cancer, prostate cancer, and melanoma outcomes, with emphasis on population-based analyses and long-term follow-ups. Contact: schlesi@ibe.med.uni-muenchen.de | Marchioninistr. 15, 81377 Munich | Room K U1 953

Artem KaznatcheevView profile

Assistant Professor

• Evolutionary Biology
• Theoretical Computer Science
• Computational Complexity
• +5 more

Artem Kaznatcheev is an Assistant Professor at Utrecht University in the Department of Mathematics and Department of Information and Computing Sciences within the Science faculty. His research bridges theoretical computer science and evolutionary biology to analyze biological and social systems through an algorithmic lens. Current role since January 2023 Recruiting PhD students and postdocs Previously: James S. McDonnell postdoctoral fellow at University of Pennsylvania His work focuses on: Computational complexity of evolution Evolutionary game theory Algorithmic biology Mathematical modeling of cancer dynamics Cultural evolution of science Selected article trends show: Interdisciplinary integration of computer science and cancer biology Key themes: fitness landscapes, evolutionary games, treatment optimization 2021-2020 publications dominate Mathematical formalisms applied to biological and social phenomena Scientific contributions include: James S. McDonnell Foundation Independent Postdoctoral Fellowship 2019 Genetics paper on computational complexity as evolutionary constraint 2017 Nature Ecology & Evolution study on fibroblast-drug interactions in cancer Collaborative environments: Worked with Theory, Evolution and Games Group Previous affiliations: Oxford University, University of Pennsylvania, Moffitt Cancer Center, McGill University Developed teaching roles at Oriel College (Oxford)

Wen LuView profile

Assistant Professor

• Cytoskeleton
• Developmental Biology
• Neurobiology
• +4 more

Wen Lu, PhD is a Research Assistant Professor in the Department of Cell and Developmental Biology at Northwestern University's Feinberg School of Medicine. Her primary research focuses on cytoskeletal regulation and molecular motor coordination in super-large cells including oocytes and neurons, utilizing Drosophila melanogaster as a model organism. She employs high-resolution live microscopy, genetic engineering, optogenetics, and pharmacological manipulations to investigate microtubule and F-actin dynamics in cellular development and regeneration. Her educational background includes a BS from Peking University (2004) and a PhD from The University of Chicago (2010), followed by postdoctoral training at Northwestern University Feinberg School of Medicine. Dr. Lu maintains active affiliations with the American Society for Cell Biology (2019-2024) and the Genetics Society of America (2022-2023), and serves on the FlyBase Community Advisory Group since 2014. Research interests center on cytoskeletal dynamics in cellular polarization, with particular emphasis on oocyte specification, growth mechanisms, and neuronal regeneration after injury. Her work bridges developmental biology and neurobiology through innovative imaging techniques that reveal molecular transport mechanisms in cellular systems. Current investigations explore microtubule movement regulation and the interplay between cytoskeletal elements during critical developmental processes. Publication trends demonstrate strong interdisciplinary focus spanning cell biology, neurobiology, and imaging sciences, with recent work increasingly incorporating translational elements in ophthalmology and oncology. Her articles reveal consistent methodological innovation in live-cell imaging and genetic manipulation techniques applied to fundamental biological questions. Winner 2025 Drosophila Art Contest, The FlyStuff / Genesee Scientific Team Winner of CDB Graphic Design Contest, CDB Special Events Committee (2024) Winner in Category 2, Microscopy Image Competition 2024, ProteinTech Group 2nd Prize in Published Category, Microscopy Today Micrograph Awards (2024) BINA 2022 Image Contest- People's Choice Award, BioImaging North America Dr. Lu serves on the FlyBase Community Advisory Group and maintains industry relationships including ownership in Quantum Music LLC. Her laboratory work integrates advanced microscopy with genetic models to address fundamental questions in cellular organization, with potential implications for understanding developmental disorders and neurodegenerative conditions.

Michael R AbernView profile

Associate Professor

• Urologic Oncology
• Prostate Cancer Biomarkers
• Quantitative Imaging
• +3 more

Michael R. Abern, MD, is an Associate Professor in the Department of Urology at Duke University and a member of the Duke Cancer Institute. He completed his medical degree at Rush University Medical College (2006) and undergraduate studies at the University of Illinois (1996). His clinical practice and research focus on urologic malignancies, with particular expertise in prostate and bladder cancers. Dr. Abern's research integrates three primary domains: 1) Biomarker development for early prostate cancer detection and risk stratification, especially in multiethnic populations; 2) Advanced quantitative imaging techniques for genitourinary cancers; and 3) Surgical innovation in robotic and minimally invasive urologic oncology. His work consistently addresses racial disparities in cancer outcomes, with multiple studies focused on optimizing care for African American and Hispanic populations. His recent publications demonstrate a strong focus on improving diagnostic accuracy through novel biomarkers (Stockholm3 test, microRNAs) and imaging modalities (biparametric MRI, blue-light cystoscopy), refining risk assessment tools for diverse populations, and evaluating genomic testing's impact on treatment decisions. Therapeutic investigations span bladder cancer immunotherapy, oligometastatic disease management, and surgical technique optimization. Dr. Abern leads several major clinical trials as Principal Investigator, including: A Phase III study of Atezolizumab for high-risk bladder cancer (Genentech, 2023-2029) Droplet surgical drain for minimal residual disease detection (Droplet Biosciences, 2024-2029) Phase I/IIa study of STM-416 for recurrent bladder cancer (Surge Therapeutics, 2024-2029) Urolithin A supplementation trial for prostate cancer (Northwestern University, 2024-2025)

• Tissue Engineering
• Biomaterials
• Bioprinting
• +7 more

Annalisa Tirella serves as Associate Professor in the Department of Industrial Engineering at the University of Trento, specializing in biomaterials and tissue engineering. Her research focuses on developing advanced 3D models for cancer microenvironments and regenerative medicine applications, with particular expertise in hydrogel engineering and bioprinting technologies. Her primary research interests include Tissue Engineering , Biomaterials Design , and Cancer Microenvironment Modeling , with emphasis on creating physiologically relevant in vitro systems. She investigates how mechanical properties of biomaterials influence cellular behavior in breast and prostate cancer models, develops sustainable biomaterials from circular economy sources, and engineers drug delivery systems using nano-in-micro technologies. Her TERM (Tissue Engineering and Regenerative Medicine) work bridges fundamental biophysical principles with clinical translation. Dr. Tirella teaches advanced courses including Biotechnology Engineering for the Department of Cellular, Computational and Integrative Biology, where she covers TERM applications, biomaterials characterization, and additive manufacturing techniques. Her educational focus emphasizes problem-solving skills for designing biomedical technologies and understanding cell-biomaterial interactions. Her recent publications (2023-2025) reveal strong trends in cancer microenvironment modeling (particularly breast and prostate cancers), hydrogel engineering with alginate and natural polymers, and advanced drug delivery systems . Key research directions include deciphering invasive cancer phenotypes through data-driven approaches, developing tumor-mimetic scaffolds with tunable mechanical properties, and creating sustainable biomaterials for precision medicine applications. The work consistently integrates biomechanical analysis with biological validation. Dr. Tirella actively develops innovative methodologies including microfluidic fabrication, response surface methodology for hydrogel optimization, and nano-in-micro encapsulation techniques. Her research has significant implications for understanding cancer metastasis mechanisms and developing targeted therapeutic approaches.

Andrew FlewittView profile

Professor

• Thin Film Transistors
• Metal Oxide Semiconductors
• Acoustic Wave Sensors
• +3 more

Professor Andrew Flewitt is a Fellow of the University Engineering Department at the University of Cambridge, where he has held a lectureship since 2002 and was promoted to Professor of Electronic Engineering in 2015. His research focuses on degradation mechanisms of inorganic thin film transistors metal oxide thin film transistors silicon nanowire-polymer composites MEMS (MicroElectroMechanical Systems) for sensing and microfluidic applications acoustic wave devices for biosensing As a member of the Institute of Physics and the Institution of Engineering and Technology, he contributes to professional communities and serves as an Editor for the IEEE journal 'Electron Device Letters.' His work bridges materials science, electronics, and biomedical applications, particularly in thin-film and MEMS technologies.

• Medical Physics
• Radiation Oncology
• Artificial Intelligence in Medical Imaging
• +3 more

Professor Annette Haworth is a distinguished academic at the University of Sydney, serving as Director of the Institute of Medical Physics and Course Director for the Master of Medical Physics program. She holds conjoint roles at Westmead and Blacktown Hospitals in radiation oncology medical physics. With over 25 years of clinical experience, her work bridges medical physics, radiation oncology, and AI-driven treatment optimization. Her research focuses on biologically targeted radiation therapy, particularly prostate cancer, using advanced imaging biomarkers and AI to customize dose delivery. She leads the BiRT project ( https://birt.sydney.edu.au/ ), which develops imaging biomarkers for tumor characterization and biological treatment planning across multiple cancer sites. PhD, University of Western Australia MSc, University of Western Australia BSc(Hons), University of Leeds Her recent publications (2023-2025) explore heterogeneous dose prescriptions, radiomic stability, and AI-enhanced segmentation for radiotherapy. Key trends include integrating quantitative MRI, PET imaging, and machine learning to personalize radiation doses while minimizing healthy tissue exposure. Scientific awards: 2021 University of Sydney DVCR Cancer Gift 2015 Judith Stitt Award (American Brachytherapy Society) 2007 TROG Outstanding Achievement Award Life Member, TROG (2018) Fellow, Australasian College of Physical Scientists in Medicine Prof Haworth supervises a multidisciplinary team of physicists, computer scientists, and clinicians, with active PhD students at the University of Sydney, Auckland, and Western Australia. She has secured competitive grants, including an NHMRC project grant (2016) for BiRT development and PdCCRS funding (2010-2014) for prostate cancer bioeffect models.

Paul E. AndrewsView profile

Professor

• Urological oncology
• Robotic surgery
• Prostate cancer
• +5 more

Paul E. Andrews, M.D., serves as Professor of Urology and Consultant in the Department of Urology at Mayo Clinic in Phoenix, Arizona. His clinical profile emphasizes expertise in urological oncology with specialization in minimally invasive, laparoscopic, and robotic surgical techniques for renal and prostate malignancies. Dr. Andrews' research focuses on: Urological oncology and nerve-sparing surgery for prostate/bladder cancer Continent neobladder reconstructive surgery Laparoscopic and robot-assisted procedures including nephrectomy, prostatectomy, and cystectomy Preservation of renal function to avoid dialysis His work has significantly improved patient outcomes through advances in minimally invasive techniques. Notable awards include: Charles H. Mayo, M.D., Distinguished Mayo Clinician Award (2010) Initial Gershom J. Thomson Award for Advances in Urology (2002) Educator of the Year, Department of Urology (2014) James H. DeWeerd Award for Excellence in Urology (1999) Dr. Andrews has held significant leadership roles including Chair of the Department of Urology (2011-2018), Executive Operations Team Vice Chair (2018-2022), and Medical Director of Simulation-Based Education (2008-2012). He directs the Laparoscopic Donor Nephrectomy Program and has served on numerous institutional committees focused on clinical practice, surgical innovation, and education.

Ren, LeiView profile

Professor

• Image-guided Radiation Therapy
• Artificial Intelligence in Radiotherapy
• Medical Imaging Physics
• +6 more

Lei Ren, PhD is a Professor and Associate Chief of Physics Research in the Department of Radiation Oncology at the University of Maryland School of Medicine. Previously, he held faculty positions at Duke University Medical Center from 2011-2021, progressing from Assistant Professor to Professor and Director of Physics Research. A clinical medical physicist certified by the American Board of Radiology (ABR), Dr. Ren leads a research program focused on advancing precision radiation therapy through innovative imaging and AI technologies. Dr. Ren's research centers on image-guided radiation therapy (IGRT) and AI applications in radiotherapy. His seminal contributions include developing digital tomosynthesis (DTS) for fast target localization, creating the limited-angle intrafraction verification (LIVE) system, and pioneering cone-beam CT (CBCT) scatter correction methods. Current work focuses on deep learning for deformable image registration, virtual MRI/CBCT generation, XMAN phantom development, and proton dose verification using prompt gamma imaging. His research integrates biomechanical modeling with AI to improve soft tissue contrast and motion management. His 15 most recent publications (2023-2025) reveal a strong trend toward clinical translation of AI in radiation oncology, with emphasis on interpretable AI for clinical decision making, radiomics for cancer prognostics, and novel imaging techniques for proton therapy verification. Approximately 70% of recent work involves deep learning applications, while 30% focuses on advanced imaging physics for motion management and dose verification. Award highlights include: Fellow of the American Association of Physicists in Medicine (AAPM), 2020 Thomas Gorrie Clinical Leadership Impact Award, Duke University, 2019 Top 5 team in AAPM Grand Challenge for 4D-CBCT reconstruction, 2018 Multiple Excellence in Research/Mentorship awards from Duke Medical Physics Program Distinguished Graduate Award from Tsinghua University, 2003 Dr. Ren actively mentors postdoctoral fellows and has secured substantial NIH funding as Principal Investigator for projects including 3D prompt gamma imaging (R01CA279013), XMAN phantoms (R01EB032680), and hybrid virtual-MRI/CBCT systems (R01EB028324). His lab collaborates with industry partners including Varian Medical Systems and ScandiDos AB on clinical implementation of imaging technologies. He serves on NIH study sections and as Deputy Editor for Medical Physics journal. His research group operates within the Radiation Oncology Department's imaging physics division, developing clinical tools for liver SBRT, proton therapy verification, and AI-driven treatment planning. Current projects include FLASH proton therapy dosimetry and virtual clinical trials using XMAN phantoms.

Anuraag ShrivastavView profile

Professor

• Cancer Biology
• Cellular Signaling Pathways
• Oncology
• +4 more

Dr. Anuraag Shrivastav is a Professor at the University of Winnipeg's Department of Biology, affiliated with the Richardson College for the Environment and Science Complex. His research focuses on cellular signaling mechanisms linked to cancer development, particularly studying biomarkers and therapeutic targets for colorectal, breast, and prostate cancers. His lab also explores renewable energy materials, including perovskite solar cells and nanomaterials like zinc oxide buckyballs. Research Interests: Dr. Shrivastav investigates oncogenic pathways involving N-myristoyltransferase (NMT), mTOR signaling, and STAT3/AP1 interactions. His work bridges basic science and clinical applications, developing diagnostic tools such as blood-based biomarker tests. Simultaneously, he pioneers advancements in energy materials through computational modeling and experimental synthesis of novel photovoltaic systems. Publications Trends: Over 2023-2025, his articles emphasize translational cancer research—identifying prognostic markers and therapeutic strategies—while maintaining a parallel focus on materials innovation for sustainable energy solutions. This dual focus reflects his interdisciplinary approach to scientific inquiry. Awards: No specific awards mentioned, though his extensive publication record indicates sustained research impact. He currently supervises graduate students and postdocs in both cancer biology and materials science domains. Lab/Team: His laboratory integrates molecular biology, computational modeling, and materials engineering, fostering cross-disciplinary collaboration. Active projects include NMT-based cancer diagnostics and next-generation solar cell development.

Nedim HodzicView profile

Professor

• Public Health
• Infectious Diseases
• Medical Research
• +3 more

Nedim Hodžić is a Full Professor at the Department of Energy and Process Engineering, Faculty of Mechanical Engineering, University of Zenica. He has been employed at the institution since 1984. Born in 1960 in Zenica, he graduated from the Faculty of Mechanical Engineering in 1983. His research spans diverse medical and biomedical fields, including infectious diseases, surgical practices, and healthcare management. Notable contributions include studies on bacterial vaginosis prevalence, palliative care competencies, and mathematical modeling of pandemic spread. His work bridges engineering principles with clinical applications, such as in anesthesiology and diagnostic imaging. Education: Bachelor’s Degree in Mechanical Engineering (1983), Faculty of Mechanical Engineering, Zenica Research Interests: Public Health and Epidemiology Infectious Disease Management Biomedical Engineering Applications Surgical Techniques and Anatomy Evidence-Based Medicine Practices Recent Research Trends: Recent articles (2022–2025) focus on clinical diagnostics (e.g., prostate carcinoma imaging), surgical innovations (e.g., appendectomy anatomical variations), and public health challenges (e.g., hepatitis C in prisoners). His 2020 study on Bosnia’s COVID-19 modeling highlights his expertise in mathematical epidemiology. Lab/Teams: No specific laboratory or team affiliations mentioned in the provided text. Grants & Advising: No explicit mentions of grants or advisees in the text.

• Radiation Oncology
• Breast Cancer Treatment
• Radiotherapy Techniques
• +5 more

Dr. Meena S. Moran is a Professor of Therapeutic Radiology at Yale School of Medicine and Chief of Breast Radiation Oncology at Yale New Haven Hospital. She specializes in breast cancer radiation therapy, focusing on improving treatment guidelines, healthcare delivery, and radiotherapy techniques. Her roles include Vice Chair of the NCCN Breast Panel and founding board member of the National Accreditation Program for Breast Centers (NAPBC). Education: MD from Cornell University Medical College (1994) Internal Medicine Residency at Roosevelt Hospital, Columbia University (1995) Radiation Oncology Residency at Yale-New Haven Hospital (1998) Research Interests: Breast cancer radiotherapy optimization, genomic risk stratification, partial breast irradiation, and quality assurance in healthcare. Her work emphasizes personalized care and improving patient outcomes through evidence-based protocols. Articles Trends: Her recent publications focus on optimizing radiation therapy protocols, evaluating outcomes of breast-conserving surgery, and addressing gaps in healthcare delivery. Key themes include hypofractionated radiotherapy, bolus use in postmastectomy care, and guideline adherence. Grants/Advising: Leads clinical trials such as the PREDICT-RT study for prostate cancer treatment. Collaborates with researchers on radiation dosimetry and clinical trial design. Mentors trainees in radiation oncology and translational research. Labs/Teams: Director of the Yale Medicine Breast Radiotherapy Program. Active in multidisciplinary teams at the Yale Cancer Center and the Breast Cancer Clinical Research Team.

Ethan K. MurphyView profile

Assistant Professor

• Electrical Impedance Tomography
• Biomedical Engineering
• Medical Imaging
• +3 more

Ethan K. Murphy is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. His research focuses on electrical impedance tomography (EIT), finite element method (FEM) modeling, and data fusion for biomedical applications such as stroke monitoring, hemorrhage detection, and cancer imaging. He holds a PhD in Mathematics from Colorado State University (2007) and has been recognized with awards including the Society of Critical Care Medicine’s Gold Snapshot Award (2021) and the Clinical Poster Award at the Northeast ALS Conference (2019). His work integrates computational methods with medical technologies, such as developing smartphone-based 3D scanning for EEG electrode localization and EIT systems for real-time tissue characterization. He collaborates on devices like EIT-coupled surgical staplers and non-invasive biomarker systems for hypovolemic cardiovascular instability. His labs and projects emphasize interdisciplinary approaches to biomedical engineering challenges. Key contributions include advancements in fused-data EIT for breast and prostate cancer imaging, phantom studies for validation, and algorithms for rapid FEM mesh generation from 3D scans. Current initiatives aim to improve early detection of internal bleeding and enhance medical imaging accuracy through machine learning and multi-modal data integration.