جستجوی استاد راهنمای دانشگاهی

Cheryl Knottمشاهده پروفایل

استاد

• Implementation Science
• Cancer Control
• Behavioral Interventions
• +۳ مورد دیگر

Cheryl Knott is Professor in the Department of Behavioral and Community Health at the University of Maryland School of Public Health and Associate Director of Community Outreach and Engagement at the University of Maryland Greenebaum Comprehensive Cancer Center. As an inaugural MPower Professor, she directs the Community Health Awareness, Messages, and Prevention (CHAMP) research lab and serves as Editor-in-Chief of Translational Behavioral Medicine. Dr. Knott's research focuses on implementation science approaches to cancer control interventions, particularly addressing disparities affecting African Americans. She develops and evaluates community-based cancer communication strategies and examines multi-level influences on cancer prevention behaviors. Her social epidemiology work investigates neighborhood-level factors in cancer control through community-engaged approaches. Recent publications demonstrate her focus on neighborhood disadvantage impacts on cancer outcomes, global cancer prevention initiatives in Nigeria, and methodological advances in community-engaged basic science. Her work frequently employs retrospective cohort designs to examine socioeconomic impacts on cancer treatment and survival.

Suzan Arslanturkمشاهده پروفایل

دانشیار

• Medical Informatics
• Predictive Analytics
• Machine Learning
• +۴ مورد دیگر

Dr. Suzan Arslanturk is Associate Professor in Computer Science and Industrial & Systems Engineering at Wayne State University's College of Engineering. She directs the Machine Learning and Health Informatics Laboratory, focusing on predictive analytics for healthcare applications. Research domains include: Cancer subtyping through multi-omics data integration Biomarker discovery for prostate cancer using cross-cancer learning Drug repurposing for cancers with DNA-repair deficiencies Neonatal brain anomaly detection via MRI analysis Operational healthcare optimization during medical surges Leads the development of deep learning frameworks for medical imaging segmentation and clinical text analysis. Publications demonstrate innovations in multimodal data fusion, domain adaptation, and unsupervised abnormality detection. Advises PhD candidates in computational healthcare research and directs academic programs in data mining and intelligent systems.

Nicolas Stewartمشاهده پروفایل

مدرس ارشد

• Protein Chemistry
• Mass Spectrometry
• Proteomics
• +۴ مورد دیگر

Dr. Nicolas Stewart is a Senior Lecturer in the School of Applied Sciences at the University of Brighton, affiliated with the Centre for Environment and Society and Applied Chemical Sciences Research Excellence Group. His research focuses on protein modification mechanisms, particularly non-enzymatic chemical modifications by reactive metabolites, and their implications in diseases like neurodegeneration, diabetes, and cancer. He develops mass spectrometry-based methods for biomarker discovery and has pioneered techniques for sex determination using tooth enamel peptides. Education: PhD in Chemistry (2004, University of Ottawa), postdoctoral training at Ottawa Health Research Institute, National Chemistry Institute (USA), and University of Pittsburgh. His work integrates proteomics, lipidomics, and bioarchaeology with clinical applications. Research interests include: 1) Protein modification by catecholamines/oestrogen metabolites; 2) Biomaterial development from protein modification; 3) Ancient DNA analysis using enamel peptides; 4) Environmental contaminant impact assessments. Current funding includes a Leverhulme Trust project on sex determination via tooth enamel. Publications highlight proteomic analysis of disease biomarkers, extracellular vesicle-based diagnostics, and archaeological biochemistry. Recent studies explore stress-induced proteomic changes in cancer models and lipidomic responses to plant-based antioxidants. Teaching focuses on analytical chemistry concepts, emphasizing conceptual understanding over rote memorization. Supervises projects in proteomic analysis and biomarker discovery.

• Molecular Biology
• Cellular Biology
• Virology
• +۳ مورد دیگر

Elizabeth Marsh is an Associate Professor in Cellular and Molecular Biology at the College of Science and Engineering. Her research focuses on the intersection of molecular biology, virology, and immunology, particularly investigating the role of Human Papillomavirus (HPV) in cancer development and immune responses to viral infections. Key Research Areas: HPV-related carcinogenesis, inflammatory lung disease, immune signaling pathways, and model organisms (e.g., zebrafish, Caenorhabditis elegans ). Recent publications highlight her work on HPV prevalence in oral cancers, viral oncogenesis, and regulatory mechanisms in airway immune responses. She has no documented scientific awards or student advisories listed in the provided data.

Sarah Seymour-Smithمشاهده پروفایل

دانشیار

• Gender Studies
• Health Psychology
• Discourse Analysis
• +۱۲ مورد دیگر

Dr Sarah Seymour-Smith is an Associate Professor of Discourse & Masculinities in Psychology at Nottingham Trent University (NTU), where she leads qualitative research and teaching in psychology. With a focus on masculinity and health, her work spans prostate cancer disparities in African-Caribbean communities, support group dynamics, and online sex offenses. School of Social Sciences, NTU PhD from The Open University (supervised by Professors Margaret Wetherell and Ann Phoenix) Her research examines how gendered identities influence health outcomes, including co-developing the prostate cancer app Check tings out . Recent publications address hoarding behavior, digital interventions, and sexual consent discourse. She supervises 4 ongoing doctoral candidates and has mentored 11 to completion. Scientific awards include the 2022 BPS Psychology of Women & Equalities Section’s Professor Marcia Worrell Mentoring Award and the 2017 BPS QMiP mid-career citation. She serves as Associate Editor for Psychology of Men and Masculinities and is a committee member of multiple academic groups. Co-PI on NTU's Strategic Funded Consent is Everything programme Lead for Discourse Research Group and REF panel member

• Medical Education
• Cancer Research
• Health Inequalities
• +۳ مورد دیگر

Dr. Humaira Khan is an Associate Dean for EDI and Lecturer at the School of Pharmacy & Medical Sciences, Faculty of Life Sciences, University of Bradford. Her roles include academic leadership and teaching in medical education. She has expertise in cancer research, particularly prostate cancer metastasis models and sigma receptor compound analysis, alongside a focus on health inequalities and equitable access to biosimilar medicines. Her current research emphasizes Education Innovation Research and Development (EIRD), innovative outreach programs, and widening participation in higher education. Strategic partnerships include collaborations with GlaxoSmithKline (UK), Pasteur Institute (France), Biomedical Research Foundation Academy of Athens (Greece), University of Miami (US), and University of Huddersfield (UK). No specific scientific awards or grants are explicitly mentioned in the text. Advising records and lab affiliations are not detailed here.

Niranjan Venugopalمشاهده پروفایل

استاد مدعو

• Medical Imaging
• Radiation Oncology
• Image Processing
• +۴ مورد دیگر

Niranjan Venugopal is an Adjunct Professor in the Department of Physics and Astronomy at the University of Manitoba's Faculty of Science. He holds affiliations with CancerCare Manitoba, focusing on advanced imaging techniques for radiation treatment planning. Contact: Niranjan.Venugopal@umanitoba.ca , nvenugopal@cancercare.mb.ca . Academic Rank: Adjunct Professor Institution: University of Manitoba Department: Physics and Astronomy Affiliation: CancerCare Manitoba Research Interests: Development and application of advanced MRI, MRSI, and PET-CT techniques for radiation oncology. Key areas include: MRI Pulse Sequence Design MR Spectroscopic Imaging Quantum Mechanical Simulations of Metabolites MR Elastography Deep Learning for Image Segmentation Image Registration and Processing Recent trends in his publications (2025-2020) emphasize AI-driven radiotherapy workflows, synthetic CT generation, and precision targeting in lung/brain/prostate cancers using SBRT and HDR brachytherapy.

Nicole Habbitمشاهده پروفایل

مدرس

• Bioengineering
• Cancer Tumor Modeling
• Tissue Engineering
• +۴ مورد دیگر

Nicole Habbit is a Lecturer in the Department of Chemical Engineering at Auburn University's College of Engineering. She holds a Ph.D. and M.S. in Chemical Engineering from Auburn University, and a B.S. in Chemical Engineering with a Bioengineering Concentration from the University of New Mexico. Ph.D., Chemical Engineering, Auburn University M.S., Chemical Engineering, Auburn University B.S., Chemical Engineering (Bioengineering Concentration), University of New Mexico Her research focuses on bioengineering and cancer modeling through: 3D tissue-engineered cancer models Microphysiological tumor-on-a-chip systems Investigation of tumor-stromal interactions Mechanobiology in prostate cancer progression Microenvironmental stiffness analysis Nanotherapeutic delivery systems Recent publications highlight: Advancements in 3D bioprinted tumor models Microfluidic platforms for drug testing Stiffness gradients in cancer tissues Fibroblast-cancer cell dynamics Patient-derived xenograft recapitulation High-throughput screening methodologies

Erin McGowanمشاهده پروفایل

استادیار

• Physical Activity Promotion
• Cancer and Chronic Conditions Management
• Healthy Active Living Programs
• +۳ مورد دیگر

Erin McGowan is an Assistant Professor at the School of Human Kinetics and Recreation, Memorial University of Newfoundland. Her research focuses on promoting healthy lifestyles, particularly physical activity, to improve health outcomes and manage chronic conditions. She specializes in physical activity interventions for cancer survivors and community-based health programs. Research interests include cancer/chronic conditions management, healthy active living programs, and exercise medicine. She has published extensively on physical activity promotion strategies, behavioral interventions, and health outcomes in populations such as cancer survivors, youth, and families. Key grants include Prostate Cancer Canada grants and Canadian Breast Cancer Foundation support. She collaborates with institutions like the Beatrice Hunter Cancer Research Institute and the Canadian Society for Psychomotor Learning and Sport Psychology. Her teaching includes courses on exercise psychology, health promotion, and research methods. She actively mentors graduate students interested in physical activity promotion.

Saeed Amalمشاهده پروفایل

استاد پژوهش

• Artificial Intelligence
• Healthcare Applications
• Deep Learning
• +۷ مورد دیگر

Saeed Amal is an Assistant Research Professor at Northeastern University's College of Engineering and Department of Bioengineering. He leads the Amal Lab for Precision Medicine, focusing on AI-driven healthcare solutions. His primary affiliation is with Northeastern's Roux Institute and he holds academic leadership roles in cardiovascular and cancer research. Previously, he was a Postdoctoral Fellow at Stanford University School of Medicine and held industry roles as VP of R&D at Cardiacx Medical (cardiology startup) and Data Scientist positions at companies like General Electric and Dynamic Yield. Education: B.Sc. in Computer Science, Technion - Israel Institute of Technology (2005) M.Sc. in Computer Science (Information Retrieval), University of Haifa (2009) Ph.D. in Computer Science (Machine Learning), University of Haifa (2019) Postdoctoral Research, Stanford University (2021–Present) Research Interests: AI applications in healthcare, including deep learning for medical imaging, NLP for clinical text analysis, and multimodal data fusion for cardiovascular and cancer care. His work emphasizes precision medicine, automated disease diagnosis (e.g., prostate and breast cancer), and improving patient outcomes through AI-driven tools. Key Contributions: Developed AI tools for cardiovascular disease prediction using multimodal data fusion, led initiatives in digital pathology for cancer grading, and pioneered the use of generative AI in Gleason pattern segmentation. His lab has published extensively on machine learning models for adverse event prediction in surgery and healthcare decision-making visualization. Awards: Emerging Visionary Award (Northeastern University NAI, 2025) Grants and Collaborations: Partnered with Santovia Path AI and Prima CARE on AI tools for cancer diagnosis. His work is supported by Northeastern's research initiatives and collaborations with institutions like Stanford University School of Medicine. Labs/Teams: Director of The Amal Lab for Precision Medicine, focusing on AI and multimodal data integration for disease care.

Ibrahim Akdumanمشاهده پروفایل

استاد

• Microwave Tomography
• Medical Devices
• Electromagnetic Fields in Medicine
• +۵ مورد دیگر

Prof. Ibrahim Akduman is a Full Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, leading the Medical Devices Research, Development - Applications Group and Laboratory. His expertise spans microwave tomography, medical imaging, and electromagnetic applications in healthcare. He has held administrative roles including Dean of the Faculty and Vice-Rector, and has been a visiting professor at institutions like Polytechnic University (NY, USA) and University of Goettingen (Germany). Education: PhD (1990), MSc (1987), BSc (1984) in Electronics and Communication Engineering from ITU. Professional milestones include over 30 years of academic leadership, 20+ patents, and international awards including the Alexander von Humboldt Fellowship. Research focuses on microwave breast cancer imaging, brain stroke detection, and antenna design for medical applications. Advised 40+ students and authored 150+ publications. Key contributions include the SAFE microwave imaging system for breast cancer screening and the development of realistic breast models using MRI data. Labs: Medical Devices Research, Development & Applications Lab (www.erg.itu.edu.tr). Collaborations include EU-funded projects like EMERALD (2018-2021) and MiMed (2013-2017). Awards highlight contributions to medical electromagnetic technologies and innovation in Turkey.

• Biomedical Informatics
• Data Science
• Health Systems Innovation
• +۷ مورد دیگر

Vikrant G. Deshmukh is an Adjunct Assistant Professor at the University of Utah's School of Medicine and College of Nursing. He serves as a leader in Data Science Services within the Health Sciences Cores, leveraging over 18 years of expertise in healthcare data warehousing and analytics to drive innovation in health systems, operations, and translational research. Education: PhD, JD, MS, MSc Specialties: Biomedical Informatics, Population Health Sciences, Data Science, Law His research focuses on data-driven solutions for healthcare outcomes, with emphasis on cancer survivorship, mental health, cardiovascular disease, and rural-urban health disparities. He integrates machine learning, clinical informatics, and population-based cohort analysis to improve evidence-based practice and patient quality of life. His publications highlight trends in cancer survivorship , mental health comorbidities , and machine learning applications in clinical decision-making. Topics span prostate cancer treatment algorithms, cardiovascular risks post-cancer, and rural healthcare access disparities. As an educator, he mentors students in biomedical informatics and health systems innovation, bridging interdisciplinary knowledge between technology, regulation, and clinical research. His work underscores the importance of cross-sector collaboration in advancing translational medicine.

• Ribonucleic acid (RNA)
• Data Analysis
• Bioinformatics
• +۱۲ مورد دیگر

Erik Dassi is an Associate Professor at the Department of Cellular, Computational and Integrative Biology (CIBIO) within the University of Trento. His research focuses on RNA biology, particularly investigating RNA structure-functional relationships, translational control mechanisms, and their implications in cancer, neurodegenerative diseases, and genetic disorders. He specializes in exploring how RNA modifications, G-quadruplex structures, and post-transcriptional regulatory networks drive disease processes and therapeutic resistance. Teaching activities include courses on Computational Biology, Cancer Genomics, Genomics Technologies, Programming, and Scientific Programming. His work emphasizes integrative approaches combining experimental and computational methods, such as polysomal profiling, allele-specific proteomics, and single-cell transcriptomics. Key research themes include: RNA G-quadruplex regulation of mitochondrial translation and energy metabolism ( n =3 articles in 2025), YTHDF proteins as tumor drivers in m6A pathways ( n =2 articles in 2024), and circular RNA roles in Huntington’s disease ( n =4 articles across 2021-2024). His work highlights translational reprogramming in cancer therapy resistance and RNA-based biomarker discovery.

Philippe Laissueمشاهده پروفایل

مدرس ارشد

• Bioimaging
• Microscopy
• Quantitative Image Analysis
• +۵ مورد دیگر

Dr. Philippe Laissue is a Senior Lecturer (Associate Professor equivalent) and Principal Investigator in Bioimaging at the University of Essex, based in the School of Life Sciences. He specializes in microscopy and quantitative image analysis, focusing on non-invasive live fluorescence imaging applications in biomedical and environmental research. His research spans systems across phyla, including plants, mammalian cells, fungi, corals, and microbiomes, with expertise in scales from nanometers to centimeters. Key interests include ROS signaling, biofilm structure, and phototoxicity mitigation. He chairs an international phototoxicity working group and collaborates with industrial partners. Education: PhD (2004, Biozentrum, University of Basel), MSc Zoology (1999, Université de Fribourg), and a Postgraduate Certificate in Higher Education (2010). As Director of Bioimaging, he oversees teaching modules, equipment management, and technical support since 2009, maintaining infrastructure and advising researchers on imaging technologies. Research trends in his publications emphasize bioimaging innovation (e.g., light-sheet microscopy for corals, phototoxicity assessment tools), ROS signaling mechanisms in plants/cells, and interdisciplinary applications in marine and biomedical systems. His work bridges fundamental biology with technological advancements, addressing environmental and health challenges. Grants and funding: Not explicitly listed here but implied through equipment management roles and collaborative projects. Advising: No named students listed, but supervises research staff and students in bioimaging training. Labs/Teams: Leads the Bioimaging facility at the University of Essex, managing a team of technicians and researchers.

Sandeep Singhalمشاهده پروفایل

دانشیار

• Cancer Genomics
• Biomarker Discovery
• Radiogenomics
• +۲ مورد دیگر

Sandeep Singhal is Associate Professor of Pathology and Biomedical Engineering at UND. His research develops multi-omics biomarkers for cancer prognosis/therapy response, focusing on breast cancer disparities and prostate radiation toxicity. Key contributions include PIK3CA mutation signatures for endocrine therapy response and DNA methylation-based immune classifiers. Recent work explores arsenic-related bladder carcinogenesis and radiogenomics models. Published in Nature Genetics and Journal of Clinical Investigation, he serves on Scientific Reports editorial board. Secured grants for clinical genomics and toxicity prediction. Holds adjunct appointments at Columbia University and directs bioinformatics for North Dakota INBRE.