جستجوی استاد راهنمای دانشگاهی

• Colorectal Surgery
• Rectal Cancer
• Colon Cancer
• +۷ مورد دیگر

Dr. Kirk A. Ludwig is a distinguished Professor of Surgery and Chief of the Division of Colorectal Surgery at the Medical College of Wisconsin, where he also serves as Cancer Liaison Physician and holds the Vernon O. Underwood Professorship in Colon Cancer Research. With over three decades of experience in academic medicine, Dr. Ludwig has established himself as a leader in colorectal surgery, surgical oncology, and gastrointestinal motility research. His career spans significant contributions to both clinical practice and academic scholarship, with particular expertise in rectal cancer management, minimally invasive techniques, and quality improvement initiatives. B.S. in Biology, John Carroll University (1984) M.D., University of Cincinnati College of Medicine (1988) General Surgery Residency, Medical College of Wisconsin (1988-1994) Laparoscopic Colorectal Fellowship, Cleveland Clinic Foundation (1994-1995) Board Certified in General Surgery (1995) and Colon and Rectal Surgery (1998) Dr. Ludwig's research program focuses on advancing the understanding and treatment of colorectal diseases, with particular emphasis on rectal cancer management strategies, surgical outcomes, and innovative approaches to patient care. His early work investigated gastrointestinal motility and neural regulation, establishing foundational knowledge in this field. More recently, his research has expanded to include health services research examining geographic disparities in cancer care, predictive modeling for treatment response using machine learning, and quality improvement initiatives to standardize surgical care. Dr. Ludwig has been instrumental in developing clinical guidelines through his participation in national organizations including the National Comprehensive Cancer Network. Analysis of Dr. Ludwig's recent publications reveals a strong commitment to addressing practical challenges in colorectal surgery. His work spans clinical outcomes research, surgical technique refinement, patient-centered care innovations, and health policy issues affecting surgical practice. Notably, he has pioneered research on organ preservation strategies for rectal cancer, innovative pain management approaches, and the impact of socioeconomic factors on surgical training and practice. His collaborative approach is evident in numerous multinational studies aimed at establishing quality benchmarks in colorectal surgery. America's Top Doctors for Cancer, Castle Connolly (2007-2020) Best Doctors in America (2007-2014) William Donegan Oncology Research Award (2008) Research in Progress Award, American Society of Colon and Rectal Surgeons (2009) Outstanding Medical Student Teacher, Medical College of Wisconsin (2010-2011) Top Surgeon, International Association of Healthcare Professionals (2014) As an educator and mentor, Dr. Ludwig has made significant contributions to surgical training programs at both Duke University and Medical College of Wisconsin. His leadership as Chief of Colorectal Surgery involves overseeing clinical programs, research initiatives, and educational activities within the division. Dr. Ludwig has been actively involved in developing clinical care pathways and quality improvement initiatives, with a particular focus on standardizing practices to improve patient outcomes. His work on establishing quality benchmarks through multinational collaborations demonstrates his commitment to advancing the field of colorectal surgery globally. Dr. Ludwig maintains active involvement in multiple research initiatives through his leadership roles in the Cancer Center and participation in national collaborative groups. His laboratory work has evolved from basic science investigations of gastrointestinal motility to clinically applied research addressing real-world challenges in surgical practice. Current projects focus on predictive modeling for treatment response, innovative approaches to pain management, and health services research examining access to high-quality cancer care.

• Respiratory Medicine
• Pulmonary Fibrosis
• Interstitial Lung Disease
• +۴ مورد دیگر

Saher Burhan Shaker serves as a Clinical Associate Professor within the Department of Clinical Medicine at the University of Copenhagen, specializing in Respiratory Medicine with a clinical focus on pulmonary fibrosis and interstitial lung diseases. Based at Herlev Hospital (Borgmester Ib Juuls Vej 1, 2730 Herlev) and the Panum Institute (Blegdamsvej 3, 2200 Copenhagen N), his work bridges clinical practice and biomarker research in chronic respiratory conditions. Dr. Shaker's research program centers on fibrotic lung diseases, particularly Idiopathic Pulmonary Fibrosis (IPF), hypersensitivity pneumonitis, and autoimmune-associated interstitial lung disease. He investigates extracellular matrix remodeling biomarkers, mortality predictors like endotrophin, and diagnostic pathways for complex conditions such as systemic sclerosis-related lung involvement. His approach integrates clinical registry data, radiological scoring (HRCT), and immunological profiling to address disease progression and therapeutic responses. Analysis of his 32 recent publications reveals a cohesive trajectory in biomarker-driven respiratory medicine, with 2022-2024 outputs emphasizing translational applications: fibrosis quantification methods, vaccination efficacy in pulmonary patients, and comorbidity impacts on survival. Collaborative work spans European institutions, frequently appearing in *The European Respiratory Journal* and *Matrix Biology*, reflecting strong interdisciplinary networks in pulmonary research.

• Gastrointestinal cancers
• Liver metastasis
• Pancreatic cancer biomarkers
• +۱۲ مورد دیگر

Sajid A. Khan, MD is an Associate Professor of Surgery (Oncology) at Yale School of Medicine, Chief of Hepato-Pancreato-Biliary & Mixed Tumors, and Co-Director of Team Science at Yale Center for Clinical Investigation (YCCI). He serves as Co-Leader of the Advanced Hepatobiliary Disease Program at Yale Cancer Center. Dr. Khan is internationally recognized for superb clinical care and excellence in cancer research, with board certification in both Complex General Surgical Oncology and General Surgery. Yale School of Medicine - Associate Professor of Surgery (Oncology) Yale Cancer Center - Co-Leader, Advanced Hepatobiliary Disease Program Yale Center for Clinical Investigation (YCCI) - Co-Director of Team Science Hepatic Arterial Infusion (HAI) Program - Co-Director Southwest Oncology Group (SWOG) - Principal Investigator Dr. Khan earned his medical degree from SUNY Upstate Medical University in Syracuse, NY and completed his general surgery training at Oregon Health & Science University and Albert Einstein College of Medicine/Montefiore. He furthered his expertise with a research fellowship at Memorial Sloan-Kettering Cancer Center and a clinical and research fellowship at University of Chicago Medical Center. He is Board Certified in both Complex General Surgical Oncology and General Surgery. Dr. Khan's research program focuses on gastrointestinal cancers, utilizing modern molecular biology (metabolomics and transcriptomics) to improve understanding and treatment. His NIH-funded lab performs translational research exploring liver metastasis mechanisms, developing pancreatic cancer biomarkers, and identifying novel genomic cancer pathways. A distinctive aspect of his work examines how tumor metabolites and RNA expression relate to race/ethnicity and sex differences. His lab's research has resulted in over 100 publications in prestigious journals with more than 3,299 citations. Dr. Khan's clinical practice specializes in complex surgical oncology for tumors of the liver, pancreas, bile ducts, stomach, and colon, as well as melanoma and neuroendocrine tumors. He has performed over 1,800 oncologic surgeries at Yale Health System, incorporating a multidisciplinary team approach and minimally invasive techniques. His commitment to patient care extends beyond the operating room, emphasizing long-term relationships with patients and their families. Regional Top Doctor by Castle Connolly (2023, 2024, 2025) Membership Induction to Surgical Biology Club (2024) Medical Student Thesis Award (as Mentor) (2023) Consistently top percentile ranks for patient satisfaction Dr. Khan leads a federally funded research program with multiple NIH grants (R01s, R21s, KL2) and serves as Principal Investigator for a SWOG-sponsored national clinical trial on colorectal cancer chemoprevention. He chairs the Society of Surgery of the Alimentary Tract (SSAT) Research Committee and serves on editorial boards for Annals of Surgical Oncology, JAMA Oncology, and Indian Journal of Surgery. His leadership extends to multiple professional organizations including the Society of Surgical Oncology, American College of Surgeons, and American Society of Clinical Oncology. The Khan Lab conducts both wet and dry lab research, focusing on translational studies that bridge basic science discoveries with clinical applications. The lab's work on oligometastatic disease aims to identify which patients with limited metastases will benefit most from curative therapies. Located at 300 George Street, 6th Floor, the lab collaborates closely with other experts at the Yale Cancer Center to advance the field of gastrointestinal oncology.

• Neurosciences
• Artificial intelligence
• Machine learning
• +۴ مورد دیگر

Professor Janaina Mourao-Miranda is a Professorial Research Associate in the Department of Computer Science at University College London's Faculty of Engineering Sciences. She is affiliated with the Centre for Medical Image Computing (CMIC) and leads the Machine Learning and Neuroimaging Lab (MLNL), accessible at http://www.mlnl.cs.ucl.ac.uk. Her research program focuses on developing and applying machine-learning models to investigate complex relationships between neuroimaging data and multidimensional descriptions of mental health disorders. Specifically, she explores whether we can learn about underlying brain mechanisms of mental disorders from these relationships, better stratify patient groups based on these relationships, and combine information from clinical assessments with different neuroimaging modalities to build better diagnostic and prognostic models of mental health disorders. Professor Mourao-Miranda's work spans multiple disciplines including Neurosciences, Artificial Intelligence, Machine Learning, Computational Neuroscience, Biological Psychology, Clinical and Health Psychology, and Pattern Recognition. Her recent publications demonstrate a strong emphasis on multivariate analysis of brain imaging data, advanced techniques for handling incomplete datasets, and developing interpretable machine learning models specifically designed for clinical applications in mental healthcare. Her key scientific contributions include: Developing novel machine learning approaches specifically tailored for neuroimaging analysis Investigating fundamental brain-behavior relationships in mental health disorders Creating innovative methods for patient stratification based on multimodal data integration Advancing statistical techniques for handling incomplete clinical datasets Pioneering interpretable AI models that bridge the gap between computational methods and clinical practice Professor Mourao-Miranda teaches a specialized module on Applied Artificial Intelligence for the MSc programs in AI for Biomedicine and Healthcare and AI for Sustainable Development at UCL, where she shares her expertise in applying artificial intelligence to solve real-world healthcare challenges and contribute to sustainable development goals.

Belkacem OULD BOUAMAMAمشاهده پروفایل

استاد

• Automatic Control
• System Supervision
• Bond Graph Modeling
• +۴ مورد دیگر

Belkacem OULD BOUAMAMA is a full Professor of automatic control at Polytech Lille (Graduate School of Engineering) of the University of Lille, France. He serves as Director of Research and International Relations at Polytech Lille and leads the PERSI research team at the CRIStAL laboratory (CNRS). His research focuses on integrated design for supervision of system engineering using multiphysics Bond graph modeling, with industrial applications in process engineering, renewable energies, and green hydrogen production systems. His primary research spans Automatic Control, System Supervision, and Bond Graph Modeling, with specialized expertise in robust diagnostic/prognostic algorithms for hybrid dynamic systems. Key application domains include fuel cells, electrolyzers, renewable energy integration, and green hydrogen infrastructure. His work bridges theoretical advances in multiphysics modeling with practical industrial implementation. No specific scientific awards are mentioned in the source text. Professor OULD BOUAMAMA has supervised 16 documented PhD theses covering bond graph applications in energy systems, fault diagnosis, and green hydrogen production. His scholarly output exceeds 65 peer-reviewed journal articles, 180 conference papers, and 20 books/book chapters. The text does not specify research grants or funding sources. He directs the PERSI research team at CRIStAL laboratory (UMR 9189, CNRS), focusing on integrated supervision system design for complex engineering applications.

• Cancer Genomics
• Molecular Oncology
• Precision Medicine
• +۵ مورد دیگر

Claudio Isella serves as an Associate Professor in the Department of Oncology at the University of Torino's School of Medicine. His research focuses on molecular oncology, cancer genomics, and precision medicine approaches to gastrointestinal cancers. Department of Oncology, University of Torino Member of Department Council Member of Commissione per la Ricerca PhD program involvement in Complex Systems for Quantitative Biomedicine Dr. Isella's research interests center on cancer genomics, molecular oncology, and precision medicine with particular emphasis on colorectal cancer, patient-derived xenografts (PDX), and transcriptomics. His work integrates computational biology approaches with experimental models to understand cancer biology and identify therapeutic vulnerabilities. He has made significant contributions to understanding tumor evolution, drug resistance mechanisms, and biomarker discovery for precision oncology applications. Analysis of Dr. Isella's recent publications reveals a strong focus on patient-derived xenograft models for cancer research, molecular subtyping of gastrointestinal malignancies, and identification of therapeutic targets through genomic and transcriptomic approaches. His work spans colorectal cancer, gastric cancer, and other solid tumors with emphasis on translating molecular findings into clinically relevant insights for precision medicine applications. Dr. Isella teaches courses including Histology (INT0652), Multi-omics and Data Science for Precision Medicine (ONC0260), and Artificial Intelligence for Biomedicine and Healthcare. His teaching integrates molecular biology with computational approaches reflecting his research expertise.

• Medical bioinformatics
• Inflammatory skin diseases
• Multidrug resistance in cancer
• +۸ مورد دیگر

Thomas Litman is a Professor in the Department of Immunology and Microbiology at the University of Copenhagen's Faculty of Health and Medical Sciences, where he leads bioinformatics research at the Skin Immunology Research Center. With expertise spanning multiple omics technologies, he applies computational approaches to understand complex biological systems, particularly in the context of inflammatory skin diseases and cancer biology. Dr. Litman earned his PhD from the University of Copenhagen in 1996 with research focused on 'The multidrug resistant phenotype - a comparative study.' His academic journey has positioned him at the intersection of computational biology and medical research. Professor Litman's research centers on medical bioinformatics, with particular emphasis on inflammatory skin diseases including atopic dermatitis, psoriasis, and cutaneous T-cell lymphoma. He investigates multidrug resistance in cancer, utilizing transcriptomics, metabolomics, microbiome analysis, and proteomics to develop integrated 'skinomics' approaches. His work focuses on identifying molecular biomarkers with diagnostic, prognostic, and predictive value, especially for characterizing endotypes of inflammatory skin conditions. Through structural bioinformatics and translational research using cellular models, 3-D models, and clinical data, he bridges computational analysis with real-world medical applications. His recent publication record demonstrates a strong focus on applying multi-omics approaches to dermatological conditions, with significant contributions to understanding chronic hand eczema, basal cell carcinoma, and cutaneous T-cell lymphoma. His work increasingly integrates clinical data with molecular profiling to identify biomarkers and therapeutic targets, reflecting a trend toward more personalized approaches in dermatology and oncology. Professor Litman actively supervises bachelor's, master's, and PhD students in applied bioinformatics, encouraging the next generation of researchers to explore the 'data jungle' through computational analysis. His research is supported by collaborations with LEO Pharma and other industry partners, facilitating translational research from bench to bedside.

• Molecular imaging
• Positron emission tomography (PET)
• Cancer research
• +۵ مورد دیگر

Kamilla Westarp Zornhagen is a DVM Postdoc researcher at the Biotech Research & Innovation Centre (BRIC) at the University of Copenhagen, working within the Erler Group. She is affiliated with the Faculty of Health and Medical Sciences and the Cluster for Molecular Imaging, where she focuses on developing and applying positron emission tomography (PET) techniques for cancer and cardiovascular disease research. Dr. Zornhagen earned her Doctor of Veterinary Medicine (DVM) from the Royal Veterinary and Agricultural University, Copenhagen in 2006. From 2006-2010, she worked as a veterinarian at Store Heddinge Dyrehospital, a companion animal veterinary hospital. She completed her PhD at the Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen (2010-), in collaboration with the Cluster for Molecular Imaging/Department of Clinical Physiology, Nuclear Medicine and PET, and the Department of Radiation Oncology at The Finsen Center, Copenhagen University Hospital. Dr. Zornhagen's research focuses on molecular imaging, particularly using PET techniques to study cancer biology. Her work bridges veterinary and human medicine, with special emphasis on soft tissue sarcomas in canine models. She investigates tumor hypoxia, metabolism, and proliferation using various PET tracers including 18F-FDG, 64Cu-ATSM, and 18F-FLT. Her research has significant implications for understanding cancer progression, developing prognostic signatures, and improving individualized treatment planning in both veterinary and human oncology. Analysis of Dr. Zornhagen's recent publications reveals a strong focus on cancer microenvironment, particularly the role of fibroblasts and extracellular matrix in tumor progression and metastasis. Her work spans from basic molecular imaging in canine cancer models to sophisticated in vitro models of metastatic colonization. A notable trend is her interdisciplinary approach, combining veterinary medicine, molecular imaging, cancer biology, and biomechanics to address complex questions in oncology. Dr. Zornhagen is actively involved in the Erler Group at BRIC, which focuses on understanding the tumor microenvironment and developing new approaches for cancer diagnosis and treatment. The group utilizes advanced imaging techniques, molecular biology approaches, and innovative model systems to study cancer progression and metastasis.

Murat Inalpolatمشاهده پروفایل

استاد

• Structural Health Monitoring
• Diagnostics and Prognostics
• Structural Dynamics
• +۸ مورد دیگر

Murat Inalpolat is a Professor and Associate Chair for Doctoral Studies in the Department of Mechanical and Industrial Engineering at the University of Massachusetts Lowell's Francis College of Engineering. He leads research projects related to wind energy, aerospace and automotive technologies and serves as an Associate Editor for the ASME Letters in Dynamic Systems and Controls Journal. In 2022, he was awarded the prestigious NASA Faculty Fellowship for work on aircraft electrification. His research focuses on structural health monitoring, diagnostics and prognostics of rotating machinery, damage detection and identification, probabilistic design and analysis, uncertainty quantification, reliability and sustainability, electric propulsion, and wind energy. His work combines theoretical modeling with experimental validation to address complex structural dynamics and acoustic challenges. His recent publications demonstrate a strong focus on wind turbine blade monitoring using acoustic sensing techniques, with several papers addressing damage detection methods, vibration analysis, and structural health monitoring systems for operational wind turbines. His research bridges theoretical modeling with practical engineering applications. NASA Fellow – Electrification of Aircrafts (2022) UML ME Department's Teaching Excellence Award (2020) Chancellor's recognition for Research Excellence and Productivity (2020) ASME Engineering Design Engineering Division Service Recognition Award (2019) CTI's Young Drive Experts award (2009) Professor Inalpolat has successfully advised numerous graduate students in mechanical engineering, with recent thesis topics focusing on structural health monitoring, wind turbine analysis, and dynamic systems. He leads significant research projects including a $1.4 million DOE grant for monitoring wind turbine blades and an NSF IUCRC WindStar project. His work has resulted in multiple patents related to turbomachinery design and clearance optimization. He is a core faculty member of the Structural Dynamics and Acoustic Systems Laboratory (SDASL), which he joined in 2014, significantly expanding the lab's capabilities in structural health monitoring, rotating machinery, and nonlinear dynamics. The lab is well-equipped for structural dynamic, acoustical, modal analysis, and control system experiments and modeling.

Nichalin Summerfieldمشاهده پروفایل

دانشیار

• Explainable AI
• Predictive Analytics
• Simulations
• +۳ مورد دیگر

Nichalin Summerfield serves as Associate Professor and M.S. in Business Analytics Program Coordinator in the Operations and Information Systems Department at UMass Lowell's Manning School of Business, leveraging interdisciplinary expertise in quantitative methods and healthcare systems. Education: Ph.D. in Operations Management (2010), Department of Management Information Systems, The University of Arizona M.S. in Management Information Systems (2005), Department of Management Information Systems, The University of Arizona BEE in Electrical Engineering (Honors) (1998), Sirindhorn International Institute of Technology, Thammasat University Research Focus: Her work integrates explainable AI , simulation modeling , and game theory to solve healthcare logistics challenges including patient no-show prediction, substance use disorder treatment optimization, and mobile banking security. Recent methodologies emphasize interpretable machine learning for generating testable hypotheses from complex clinical datasets. Publication Trends: Spanning 2011-2025, her research evolved from foundational operations research (Chinese Postman Problem applications, stochastic programming) toward cutting-edge healthcare analytics, with 2021-2025 publications demonstrating strong emphasis on explainable AI frameworks for medical decision support and financial systems security. Scientific Recognition: Department's Research Excellence Award (2025) Department's Teaching Excellence Award (2022) Runner-up - DSI Regional Best Paper Award (2021) Best Application of Theory Paper Award (2021) Research Leadership: As Co-Principal Investigator for the 2024 Internal Seed Grant on electoral precinct resource allocation and 2017 urban transportation analytics project, she secures funding for real-world problem solving. Current work explores deep reinforcement learning in supply chain optimization , building on prior industry experience at Accenture and NASA's Phoenix Mars Lander software development. Collaborative Networks: Partnerships with University of Massachusetts Medical School and UMass Memorial Healthcare enable translational research, while active participation in Decision Sciences Institute and INFORMS conferences drives methodological innovation in business analytics.