جستجوی استاد راهنمای دانشگاهی

Maurizio Bocchetta is an Associate Professor in Cancer Biology at Loyola University Chicago. His research focuses on understanding molecular mechanisms of lung adenocarcinoma, particularly the role of OTUD6B deubiquitinase in regulating MYC oncogene activity. His work explores γ-secretase inhibitors' effects beyond Notch signaling pathways, aiming to identify novel therapeutic strategies for lung cancer. Education: BA/MS in Human Physiology, University of Rome 'La Sapienza', Italy PhD in Human Molecular Biology, University of Rome 'La Sapienza', Italy Postdoctoral Fellowship at University of Illinois at Chicago Research Interests: OTUD6B regulation of oncogenic proteins Post-translational modification networks in cancer Lung adenocarcinoma biology and therapeutics Notch signaling pathway in tumor progression SV40 virus oncogenic mechanisms Publications Overview: Dr. Bocchetta has published extensively on γ-secretase inhibitors' mechanisms, OTUD6B's role in cancer, and Notch signaling's impact in lung and breast cancers. His recent work explores potassium channel activation as a therapeutic angle for c-Myc degradation in lung tumors. Laboratory Work: Leads a lab investigating tumor microenvironment responses, hypoxia adaptation, and translational control in cancer cells. Active in developing multimodal therapies targeting lung carcinoma-specific vulnerabilities.

• Cancer Biology
• Oncology
• Lung Adenocarcinoma
• +۴ مورد دیگر

Andrew Beharry is an Associate Professor in the Department of Chemical & Physical Sciences at the University of Toronto Mississauga. His research focuses on developing small molecule probes for cancer biology, including fluorescent chemosensors for drug resistance assessment and activatable photosensitizers for photodynamic therapy (PDT). His lab integrates chemical synthesis, biochemical assays, and in vivo models to create diagnostic tools and treatment platforms that address limitations of conventional cancer therapies. Education & Training: B.Sc. (Honours) in Chemistry and Biology, York University (2006) Ph.D. in Chemistry, University of Toronto (2012) Postdoctoral Fellow, Stanford University (2013–2016), funded by the Human Frontier Science Program Research Interests: Beharry’s lab bridges chemistry and biology to tackle cancer challenges. Key areas include: Fluorescent Chemosensors: Rapid, accurate assays for anticancer drug resistance mechanisms (e.g., DNA repair enzymes, cell death pathways). Activatable Photosensitizers: Cancer-selective PDT agents that enable real-time imaging and therapy via biomarker activation. Fluorescence-Guided Therapies: Combining PDT with surgical imaging to reduce cancer recurrence. Achievements & Funding: Recipient of NSERC Discovery Grant (2017–2022), Connaught New Researcher Award (2017–2019), and Brain Tumour Foundation of Canada Grant (2021–2023). Over 50 publications in high-impact journals like J. Am. Chem. Soc. , ACS Med. Chem. Lett. , and Biochemistry . Labs & Teams: The Beharry Lab collaborates with institutions globally, focusing on translational research from bench to clinic. Current projects include enzyme-activatable prodrugs and theranostic agents for precision oncology.

• Biological Chemistry
• Organic Chemistry
• Cancer Biology
• +۳ مورد دیگر

Dr. Bryan Burt serves as Professor and Chief of the Division of Thoracic Surgery at Baylor College of Medicine, where he also directs the General Thoracic Surgery Fellowship program and oversees faculty mentorship within the Michael E. DeBakey Department of Surgery. A Harvard-trained thoracic surgeon and surgical oncologist, he specializes in robotic and minimally invasive approaches for complex thoracic malignancies and benign conditions, emphasizing multidisciplinary patient-centered care. His educational foundation includes a BA from New York University, MD from Weill Medical College of Cornell University, and dual residencies in General Surgery and Thoracic Surgery at Brigham & Women’s Hospital/Harvard Medical School. Dr. Burt's research program centers on improving surgical outcomes for thoracic cancers through translational science, with particular focus on malignant pleural mesothelioma, lung cancer, and thymic tumors. His NIH-funded laboratory investigates onco-immunological mechanisms to develop novel biomarkers and therapeutic strategies, bridging bench discoveries to clinical applications in robotic surgery and multimodal cancer treatment. Analysis of his 14 recent publications reveals a dominant research trajectory in malignant pleural mesothelioma, spanning genomic subtyping, immunoproteogenomic profiling, and surgical predictability modeling. This work integrates molecular oncology with surgical innovation, demonstrating consistent emphasis on identifying prognostic biomarkers and optimizing resection techniques for thoracic malignancies. His scientific accolades include the Norton Rose Fulbright Faculty Excellence Award for Enduring Education and Early Career Faculty Award for Excellence in Patient Care at Baylor College of Medicine, Alpha Omega Alpha honor society induction, and multiple departmental prizes from Weill Cornell and Brigham & Women’s Hospital including the Peter Bent Brigham Scholar Award and Clarence Coryell Prize in Surgery. As Program Director for the Thoracic Surgery Fellowship, Dr. Burt mentors surgical trainees in advanced robotic techniques while leading the Systems Onco-Immunology Laboratory. His NIH-funded research portfolio includes a dedicated mesothelioma grant, supporting investigations into tumor microenvironment interactions and immunotherapeutic applications. Clinical grants focus on optimizing minimally invasive approaches for high-risk thoracic patients. The Systems Onco-Immunology Laboratory, directed by Dr. Burt, conducts translational research on immune-tumor interactions in mesothelioma and lung cancer. The team employs immunoproteogenomic techniques to identify therapeutic targets, with current projects examining interleukin-4 receptor signaling and myeloid cell dynamics in pleural malignancies.

• Thoracic Surgery
• Surgical Oncology
• Robotic Surgery
• +۵ مورد دیگر

Edwin A. Takahashi, M.D., is a vascular and interventional radiologist at Mayo Clinic in Rochester, Minnesota. He specializes in vascular imaging, cardiac imaging, and minimally invasive treatments for vascular diseases. His clinical focus includes dialysis access management, peripheral arterial disease, venous disease, and IVC filter placement. He holds leadership roles in the American Heart Association and Mayo Clinic's radiology residency program. Education: 2019: Fellowship in Interventional Radiology, Mayo Clinic 2018: Residency in Diagnostic Radiology, Mayo Clinic 2014: Transitional Internship, Methodist Hospital of Indiana 2013: MD, John A. Burns University of Hawaii 2009: BA in Biochemistry, Oberlin College Research Interests: Dr. Takahashi's research focuses on renovascular disease, peripheral arterial disease, and venous stenosis. He investigates novel imaging techniques and interventions to improve outcomes for patients with vascular access issues and chronic limb-threatening ischemia. His work emphasizes disparities in care and telehealth applications in cardiovascular medicine. Professional Contributions: He chairs committees for the American Heart Association (AHA) and serves on executive teams for vascular organizations. He has authored over 60 peer-reviewed articles, with recent work addressing racial disparities in vascular care and radial access techniques in peripheral interventions. Awards: 2023: Carmen Award for Educational Excellence 2023: AHA Fellow 2022: Mayo Radiology Residency Distinguished Educator Labs/Teams: Active in the Gonda Vascular Center and Mayo Clinic's interventional radiology research group, focusing on translational studies in vascular access preservation and minimally invasive therapies.

• Vascular and Interventional Radiology
• Cardiac Imaging
• Peripheral Arterial Disease
• +۵ مورد دیگر

Dr. Valory N. Pavlik is a Professor in the Department of Neurology at Baylor College of Medicine, serving as Associate Director of the Alzheimer's Disease and Memory Disorders Center. She holds advanced degrees including a PhD from the University of Texas School of Public Health, an MPH, MEd, and B.A. Her research focuses on Alzheimer's disease, neurology, hypertension management, and public health interventions. Key contributions include leading the US POINTER trial, investigating biomarkers for dementia, and studying the impact of lifestyle interventions on cognitive health. Her work spans clinical studies, epidemiology, and translational research. Notable projects include genomic studies of Alzheimer's risk (e.g., MTUS2 gene associations) and neuroimaging analyses of biomarkers like α-synuclein pathology. She has collaborated on global trials like the US POINTER and LatAm-FINGERS to harmonize multidomain interventions targeting cognition. Dr. Pavlik's research also addresses health disparities, examining how race, socioeconomic status, and cardiovascular health influence dementia biomarkers. She is affiliated with organizations such as the American Public Health Association and American Heart Association, reflecting her interdisciplinary expertise in clinical and population health. Education: PhD (1994), MPH (1987), MEd (1981), B.A. (1972) Affiliations: Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine Key Projects: US POINTER, TARCC Cohort, CONCORD-AD collaboration

• Alzheimer's Disease
• Neurology
• Hypertension Management
• +۳ مورد دیگر

Dr. Sahil Sharma is a Research Fellow at the School of Computing, Engineering and Intelligent Systems, Ulster University, Derry~Londonderry campus. His interdisciplinary research bridges artificial intelligence, biomedical engineering, and agricultural science, with significant contributions to medical diagnostics and sustainable agricultural practices through advanced computational techniques. Sharma's primary research domains include artificial intelligence (particularly deep learning and large language models), biomedical engineering (focusing on cardiac biomarker detection and medical data analysis), and agricultural science (specializing in plant biostimulants and sustainable farming). His work demonstrates consistent innovation in applying machine learning to solve real-world problems across healthcare and agriculture, with recent emphasis on explainable AI for medical visualization and anime recommendation systems. Analysis of Sharma's 15 most recent publications (2023-2025) reveals a dominant trend toward AI-driven healthcare solutions, including cardiac troponin I detection assays, XAI-based medical data visualization, and synthetic data generation for diagnostics. Parallel work explores agricultural applications through deep learning-based crop monitoring systems. His research outputs show strong translational impact, with significant citations (h-index 86) and practical implementations referenced in patents, particularly in the biomedical domain where his 2012 agricultural paper accumulated 85 Scopus citations.

• Artificial Intelligence
• Machine Learning
• Biomedical Engineering
• +۱ مورد دیگر

Harald Mischak is a Visiting Professor at the University of Glasgow's School of Cardiovascular & Metabolic Health. His research focuses on proteomics and biomarker development, particularly in cardiovascular and kidney diseases. He leads studies like HOMAGE and African-PREDICT, exploring urinary peptides as diagnostic tools for conditions such as heart failure, hypertension, and diabetic nephropathy. Collaborations with institutions worldwide emphasize translational research, aiming to bridge proteomic discoveries with clinical applications. Research interests include non-invasive diagnostics, biomarker validation, and integrative omics for personalized medicine. Key contributions involve identifying urinary proteomic signatures for diseases like prostate cancer and cardiac allograft vasculopathy. His work highlights the utility of capillary electrophoresis-mass spectrometry (CE-MS) in clinical settings. Publications span biomarker validation in kidney disease, cardiovascular risk profiling, and oncology. His lab at the British Heart Foundation Glasgow Cardiovascular Research Centre (Bhf Gcrc) drives interdisciplinary projects, emphasizing clinical implementation of proteomic findings.

• Proteomics
• Biomarker Development
• Kidney Disease
• +۳ مورد دیگر

Dr. Josiah Wang is a Visiting Professor in the School of Computer Science at the University of Sheffield. His research focuses on multimodal machine learning, particularly the intersection of computer vision and natural language processing. He has contributed to advancements in image captioning, object detection, and multimodal machine translation. His work emphasizes techniques like semi-supervised learning, distributional similarity, and visual-linguistic integration. Wang's research has been showcased in venues such as the ImageCLEF challenges, where he contributed to scalable concept annotation tasks and multimodal translation systems. His projects often address critical issues in content selection for image descriptions and the exploitation of visual semantics for improved language generation. While no specific awards or grants are listed, his involvement in organizing and participating in ImageCLEF tasks demonstrates his leadership in collaborative research initiatives. His work bridges theoretical machine learning with practical applications in visual language systems, reflecting a commitment to advancing both technical and interdisciplinary research.

• Computer Vision
• Natural Language Processing
• Multimodal Machine Learning
• +۳ مورد دیگر

Renate E. Meyer is Professor and Chair of the Department of Management at WU Vienna (Vienna University of Economics and Business), where she has been affiliated for over three decades. She also holds a longstanding affiliation with the Department of Organization at Copenhagen Business School. Renate has made exceptional contributions to EGOS (European Group for Organizational Studies), serving as Chair (2011–2014), Treasurer, and Board Member (2008–2017). She co-organized the 2007 EGOS Colloquium in Vienna and has been instrumental in fostering partnerships between EGOS and the Academy of Management's OMT division. Her research encompasses institutional theory, organization theory, management studies, urban governance, and multimodality. She pioneered studies on the translation of management ideas across contexts and advanced European institutionalism through phenomenological approaches. Her work combines theoretical depth with methodological innovation in examining organizational phenomena. Renate received the prestigious EGOS Honorary Member award in 2024, recognizing her unparalleled service to the academic community, intellectual leadership, and mentorship. She leads extensive international research collaborations with team members across Berlin, Hamburg, Liverpool, and Sydney. Her relational approach to scholarship emphasizes collective idea development and sustained mentorship of early-career researchers.

• Institutional Theory
• Organization Theory
• Management Studies
• +۳ مورد دیگر

Shreyasi Pathak is a Researcher and Internal PhD Candidate at the TechMed Centre, University of Twente, specializing in Biomedical Signals and Systems. Her work bridges artificial intelligence and clinical medicine through interpretable machine learning models for healthcare decision support systems. Education: Master of Science, University of Twente (2016-2018) Her research focuses on Explainable Artificial Intelligence (XAI) with emphasis on multimodal prediction systems for medical applications. She develops transparent deep learning models to address clinical challenges including breast cancer diagnosis and hip fracture risk assessment, prioritizing model interpretability for clinician trust and adoption. Her methodology integrates preoperative data with Long Short-Term Memory networks and prototype-based evaluation frameworks. Recent publications demonstrate a clear trend toward clinically deployable AI systems where explainability is non-negotiable. Her work on feature importance mapping and prototype-based validation establishes new standards for trustworthy healthcare AI, moving beyond 'black box' solutions to reality-centric implementations that respect clinical workflows and domain knowledge constraints. Research Environment: She operates within the Biomedical Signals and Systems group at TechMed Centre, an interdisciplinary hub fostering collaboration between engineers, computer scientists, and medical professionals to translate technological innovations into tangible healthcare improvements.

• Explainable Artificial Intelligence
• Deep Learning
• Machine Learning
• +۳ مورد دیگر

Dr Thi Kim Anh Dang is a Senior Lecturer (TESOL and Languages Education) at Monash University's Faculty of Education. Previously, she held roles at Melbourne Graduate School of Education and La Trobe University. Her research focuses on teacher education, sociocultural theory, Indigenous education, and English-medium instruction (EMI) globalization impacts. She has published widely in international journals and authored 'Education Policy: Mapping the Landscape and Scope' (2016). Education: PhD in Teacher Education (University of Melbourne, 2014) with a sociocultural activity theoretical study of paired-placements; M.Ed (2002) on genre-based ESL writing pedagogy; B.Ed (Honours) in English Language Teaching (Vietnam National University, 1996). Research Interests: Teacher education, professional learning, TESOL, education policy, sociocultural activity theory, Indigenous education. She has consulted on projects addressing Indigenous student engagement in business education and EMI implementation strategies. Awards: Early Career Researcher Commendation (AARE 2015), Vietnam's Excellent Research Supervision Award (2007), and multiple scholarships/fellowships for academic excellence. Collaborations: Key projects include EMI professional learning programs in China and Germany, and Indigenous education initiatives in Australia. She leads the AARE Teacher Education & Research Innovation SIG.

• Teacher education
• TESOL
• Education policy
• +۴ مورد دیگر

Matthew Butler is an Associate Professor in the Department of Human-Centred Computing at Monash University's Faculty of Information Technology. His research focuses on Inclusive Technologies , particularly improving access to visual information for people who are blind or have low vision (BLV) through innovations like 3D printing, conversational agents, and multisensory interfaces. He has over 20 years of academic experience and held leadership roles including Deputy Dean (Education) and Associate Dean (Learning and Teaching). Education: PhD in Computing Education (Monash University, 2010) Graduate Certificate of Higher Education (Monash University, 2006) Bachelor of Engineering (Electronic and Computer Engineering, Monash University, 1996) Research Interests: Matthew’s work emphasizes participatory design with the BLV community, addressing challenges in data exploration, orientation/mobility, arts/culture access, and education . Key projects include accessible data visualization systems, inclusive museum experiences, and tactile navigation tools. His contributions align with UN Sustainable Development Goals related to education and disability inclusion. Grants & Projects: Accessible Data Exploration and Analysis for Blind People (Australian Research Council, 2023–2027) Inclusive Gallery Experiences: Bendigo Art Gallery Project (Helen Macpherson Smith Trust, 2019–2022) Co-leads the Monash Assistive Technology and Society Centre’s Education Pillar Awards: Senior Fellow of the Higher Education Academy Labs/Teams: Active contributor to Monash’s Assistive Technology and Society research initiatives, focusing on multisensory design for disability inclusion.

• Inclusive Technologies
• Accessible Graphics
• Assistive Technologies
• +۴ مورد دیگر

Annika Bergquist is a Professor of Gastroenterology with a focus on Hepatology at the Department of Medicine, Huddinge, Karolinska Institutet. As a Senior Physician, she leads the Annika Bergquist research group, specializing in autoimmune liver diseases, particularly primary sclerosing cholangitis (PSC) and bile duct cancer. Her work bridges clinical practice, translational research, and epidemiology, addressing disease mechanisms, diagnostic tools, and treatment strategies. Education & Academic Roles : - PhD in Medicine (2001), Karolinska Institutet - Docent (2007), Karolinska Institutet - Medical Degree (1992), Karolinska Institutet Research Focus : Her research centers on PSC, investigating its link to inflammatory bowel disease (IBD), malignancy risks (cholangiocarcinoma, colorectal cancer), and biomarkers for disease progression. She leads international collaborations, including the PiSCATIN statin trial and the Scandinavian PSC Biobank. Grants & Collaborations : - Swedish Cancer Society grant (2023) for liver cancer research - Swedish Research Council grants (2022, 2024) for PSC studies - Collaborations with SWEHEP, IPSCSG, and the Norwegian PSC Research Center Advising : Supervised over 15 PhD/Master’s students since 2018, focusing on PSC comorbidities, biomarkers, and clinical trials. Labs/Teams : The Annika Bergquist group includes researchers, statisticians, and clinicians, with projects on PSC immunobiology, diagnostic algorithms, and patient outcomes.

• Gastroenterology
• Hepatology
• Autoimmune Liver Diseases
• +۳ مورد دیگر

Professor Melanie Dirks is the Department Chair of Psychology at McGill University, specializing in Clinical Psychology and Developmental Science . Her research focuses on mapping social and emotional skills across childhood, adolescence, and young adulthood, with emphasis on peer/sibling relationships and their impact on psychological symptoms. Uses multimodal methodologies: observational studies, daily diaries, emotion recognition tasks Current projects: friendship quality maintenance, interpersonal victimization in youth, emotional communication dynamics Key research themes from publications include: Peer Relationships : Dissolution patterns, prosocial behavior, bullying, and dating aggression Emotional Processing : Vocal emotion recognition, neural reward responses, stress-neuroimaging links Contextual Influences : Family dynamics, socioeconomic status, post-pandemic social changes Her lab ( CASC Lab ) trains students in advanced social-emotional assessment techniques, with notable advisees including *Morningstar, *Gilbert, and *Santucci. Google Scholar articles (2014-2025) demonstrate expertise in developmental psychopathology, social neuroscience, and cross-cultural mental health determinants.

• Clinical Psychology
• Developmental Science
• Peer Relationships
• +۶ مورد دیگر

Josiah Wang is a Senior Teaching Fellow in the Department of Computing at Imperial College London, where he also serves as the degree coordinator and admissions tutor for the MSc Computing program. He teaches Python Programming and Introductory Machine Learning courses. Previously, he held postdoctoral research positions at Imperial College London and the University of Sheffield, focusing on Artificial Intelligence with specializations in Computer Vision and Natural Language Processing. He earned his PhD in Computer Science from the University of Leeds (2013), advised by Katja Markert and Mark Everingham. His research explored cross-modal learning, including pioneering work on learning object recognition from textual descriptions and multimodal machine translation. Notable contributions include the MultiSubs dataset and methods for phrase localization without paired training examples. Education: PhD in Computer Science, University of Leeds (2013) MSc in Computing, University of Leeds (2007), supervised by David Hogg Research Interests: Josiah's work bridges AI and human cognition, emphasizing systems that learn from limited data and integrate multiple modalities. His contributions span visually descriptive language annotation, image captioning, and multimodal translation. Though no longer active in active research, his legacy includes foundational papers on object recognition from text (BMVC 2009) and unsupervised phrase localization (ICCV 2019). Grants & Projects: MultiMT and MMVC projects (Imperial College London) CHIST-ERA ViSen project (University of Sheffield) Labs & Teams: Collaborated extensively with interdisciplinary teams at Imperial, Sheffield, Lyon, and Barcelona, including work on multimodal machine translation and visual grounding systems.

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر