جست‌وجوی استاد و پژوهشگر

Andrew Z. Wangمشاهده پروفایل

استاد

• Cancer Research
• Nanotechnology
• Biomedical Engineering
• +۲ مورد دیگر

Andrew Z. Wang, M.D., is a tenured Professor and holds the A. Kenneth Pye Professorship in Cancer Research at the University of Texas Southwestern. He serves as Vice Chair for Translational Research and Commercialization in the Department of Radiation Oncology, having joined UTSW in August 2021. Previously, he held faculty positions at the University of North Carolina, where he rose from Assistant to Tenured Professor. Dr. Wang's research integrates biomedical engineering with oncology to develop innovative cancer diagnostics and therapeutics. His work focuses on: Nanotechnology-enabled drug delivery systems Cancer immunotherapy and vaccine development Biomaterial applications in oncology Liquid biopsy technologies for treatment monitoring Radiotherapy-enhancing strategies His 128+ publications demonstrate consistent focus on translational nanomedicine, with recent works advancing combination therapies (chemoradiation-immunotherapy), 3D-printed medical devices, and machine learning applications in oncology. Clinical publications emphasize optimizing radiation techniques for genitourinary/gastrointestinal cancers. Major scientific recognitions include: Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the American Institute for Medical and Biological Engineering (AIMBE) Fellow of the American Society for Clinical Investigation (ASCI) A. Kenneth Pye Professorship in Cancer Research Dr. Wang leads a prolific research program generating 38 patents and founding three biotechnology startups. Clinically, he specializes in advanced radiation techniques (IMRT, SBRT, brachytherapy) for genitourinary and gastrointestinal malignancies.

• Product Development
• Systems Engineering Design
• Platform-based Development
• +۸ مورد دیگر

Professor Ola Isaksson is a faculty member in Product Development at Chalmers University of Technology, where he leads the Systems Engineering Design research group. With over 40 research projects nationally and internationally, his work bridges academic research and industrial application, particularly in aviation and transport-related manufacturing sectors. His expertise spans digitalization, sustainability, and advanced manufacturing methods in product development. Ola Isaksson received his PhD in Computer Aided Machine Design from Luleå University of Technology in 1999. Prior to his academic career, he had a specialist career at GKN Aerospace Engine Systems (formerly Volvo Aero) in Trollhättan, focusing on design and product development until 2015. Professor Isaksson's research focuses on developing new product development capabilities to address societal and industrial needs through digitalization and advanced manufacturing. His primary interests include platform-based development, Set Based Engineering, multidisciplinary engineering methods, Value-driven development, and knowledge-intensive system support. He has particular expertise in additive manufacturing integration, design space exploration, and sustainability transition in product development. Analysis of Professor Isaksson's recent publications reveals a strong focus on integrating digital technologies with sustainable manufacturing practices. His work demonstrates a progression from traditional design methodologies toward AI-assisted design, digital twins, and advanced data analytics. Key thematic areas include additive manufacturing implementation, design margin management, sustainability integration, and aerospace component optimization, reflecting his commitment to bridging theoretical research with industrial applications. Professor Isaksson is one of the founders of the Swedish Product Development Academy and maintains active membership in the Design Society, ASME, and SIG PM, reflecting his significant contributions to the field of engineering design. With over 100 scientific publications and leadership in more than 40 research projects, Professor Isaksson has established himself as a leading figure in product development research. His work frequently involves close collaboration with industry partners, particularly in the aviation sector, securing substantial research funding for projects addressing digitalization, sustainability, and advanced manufacturing challenges. Professor Isaksson leads the Systems Engineering Design research group at Chalmers University of Technology. His team focuses on developing methodologies for complex product development, with particular emphasis on digital tools, sustainability integration, and manufacturing innovation. The group maintains strong industry connections, especially with aerospace manufacturers, facilitating the translation of research into practical applications.

Oskar Hanssonمشاهده پروفایل

استاد

• Alzheimer's Disease
• Parkinson's Disease
• Biomarker Development
• +۴ مورد دیگر

Professor Oskar Hansson is a senior consultant neurologist at Skåne University Hospital and full professor of neurology at Lund University, Sweden. He leads the Swedish BioFINDER studies, focusing on early diagnosis of Alzheimer's and Parkinson’s diseases through biomarker development. Co-director of Lund University's neuroscience research area, he also oversees clinical research at the Memory Clinic. Lund University (2017-present): Full Professor of Neurology Skåne University Hospital (2012-present): Senior Consultant Neurologist His research emphasizes clinical and translational studies, particularly in Neurodegenerative Diseases , Biomarker Development , and Neuroimaging . Key contributions include validating Tau PET imaging and blood-based biomarkers for early Alzheimer's detection. Recent publications highlight applications in Alzheimer's disease subtyping , polygenic risk scores , and Lewy body disorder biomarkers (2025 publications in Nature Communications , The Lancet , and Alzheimer's Research and Therapy ). Current projects include active research on amyloid immunotherapies and tau pathology biomarkers. 2024 : Torsten Söderberg Professorship 2023 : De Leon Prize, ERC Advanced Grant, NIH/NIA R01 grant 2023 : Elsa and Alfred Eriksson Award Hansson leads the Clinical Memory Research platform and oversees multiple initiatives including the MultiPark Parkinson's research program and Proactive Ageing profile area at Lund University.

• Embedded Systems
• Compilers
• Hardware-Software Co-Design
• +۵ مورد دیگر

Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.

• Genomics
• Computational Biology
• Cell Biology
• +۵ مورد دیگر

Gioele La Manno is an Assistant Professor (tenure track) at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV) and the Department of Life Sciences Engineering. He leads the Unité du Prof. La Manno (UPLAMANNO) and holds roles in teaching and doctoral education within the SSV-ENS and Programme doctoral Biologie computationnelle et quantitative . His research focuses on single-cell genomics, cellular heterogeneity, and systems biology approaches to study developmental and neural systems. La Manno’s educational background includes a strong foundation in computational and quantitative biology, reflected in his teaching of courses like Biological data science I: statistical learning and Scientific literature analysis in neuroscience . His lab explores interdisciplinary methods combining genomics, epigenomics, and machine learning to dissect cell fate decisions and tissue organization. He actively contributes to doctoral programs, supervising over a dozen PhD students and advising theses on topics ranging from nervous system development to drug sensitivity profiling. His work bridges basic research with translational applications, such as clinically compliant cell cryopreservation for regenerative medicine. La Manno collaborates across EPFL’s Life Sciences Engineering ecosystem, leveraging state-of-the-art technologies like mass spectrometry imaging and single-cell RNA velocity modeling. His lab’s recent studies address lipidome dynamics, glial diversity in the CNS, and the molecular regulation of midbrain dopaminergic neurons.

• Biomarkers
• Epigenetics
• Aging
• +۳ مورد دیگر

Brian Chen is an Assistant Adjunct Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at the University of California San Diego (UCSD). His research focuses on biomarkers of aging, epigenetics, and epidemiological studies , with a particular interest in translating these findings into clinical applications and population health strategies. Education: PhD in Epidemiology, University of California Los Angeles (UCLA) MPH in Epidemiology/Biostatistics, University of California Berkeley Bachelor of Science in Biochemistry/Cell Biology & Psychology, UC San Diego Research Interests: Brian's work centers on understanding biological aging mechanisms through epigenetic changes, particularly DNA methylation patterns. He explores how these biomarkers correlate with age-related diseases (e.g., dementia, cardiovascular disease) and health disparities. His studies often involve large-scale epidemiological cohorts and cutting-edge genomic technologies. Publications: His recent work emphasizes validation of aging biomarkers, epigenetic clock analyses, and translational strategies for clinical implementation. Key contributions include studies on racial/ethnic health disparities linked to epigenetic aging and the role of biomarkers in predicting cardiovascular outcomes. Collaborations: Brian frequently collaborates with leading researchers like Steve Horvath (epigenetic clock pioneer), Luigi Ferrucci (aging epidemiology), and Tamara B. Horvath (neuroendocrinology). His work has been cited over 5,000 times in high-impact journals. Future Directions: Current projects include developing multi-omic aging biomarker panels and investigating interventions to modulate epigenetic aging processes. He also advocates for standardized validation frameworks for aging biomarkers in clinical settings.

Jing Zhangمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Biomedical Informatics
• +۶ مورد دیگر

Dr. Jing Zhang is an Assistant Professor in the Department of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences. She holds a Ph.D. in Electrical Engineering and Molecular/Computational Biology from the University of Southern California (2012) and completed postdoctoral training in Computational Biology at Yale University. Her research focuses on developing computational methods to unravel gene regulation mechanisms and link genetic variations to diseases, particularly in noncoding regions of the genome. She has contributed extensively to the ENCODE project, co-authoring pivotal studies in Nature and producing over 5,900 experimental datasets. Dr. Zhang’s work bridges engineering, mathematics, and biology, with applications in precision medicine for cancers and psychiatric disorders. She emphasizes the importance of noncoding DNA in disease causation and has pioneered tools like EN-TEx and scENCORE to analyze epigenomes and regulatory elements. Her lab actively seeks to recruit Ph.D. students, postdocs, and interns to advance genomic technologies. Key research areas include single-cell and spatial transcriptomics, gene regulatory networks, and computational methods for multi-omics data integration. Despite pandemic-related challenges, she maintains strong collaborations and teaches courses in bioinformatics. Her future goals include expanding lab interactions and applying computational models to predict disease susceptibility and treatment responses.

• Artificial Intelligence
• Biomedical Informatics
• Drug Design
• +۳ مورد دیگر

Marinka Zitnik is an Associate Professor of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence, and Associate Member at the Broad Institute of MIT and Harvard. Her research focuses on advancing artificial intelligence for medicine and science, including AI-driven drug design, genomic medicine, and multimodal data fusion. She leads initiatives such as the Therapeutics Data Commons and the International AI4Science initiative, emphasizing AI's role in scientific discovery and personalized healthcare. Research Interests: Dr. Zitnik's work integrates AI with biomedical challenges, developing geometric deep learning and multi-scale models to address therapeutic design, disease prediction, and precision medicine. Her lab pioneers approaches for contextualized AI systems and large pretrained models to analyze genetic, cellular, and molecular data for clinical insights. Labs/Teams: Zitnik Lab (focusing on AI in Biomedicine) and collaborations across institutions like the Broad Institute and Harvard Data Science Initiative. She also contributes to global initiatives like the AI4Science network.

Jeffrey H. Siewerdsenمشاهده پروفایل

استاد

• Medical Imaging
• Image-Guided Surgery
• Surgical Robotics
• +۳ مورد دیگر

Jeffrey H. Siewerdsen, PhD, holds the John C. Malone Professorship in Biomedical Engineering at Johns Hopkins University, with joint appointments in Computer Science, Neurosurgery, and Radiology. As Vice-Chair for Clinical and Industry Collaboration, he bridges engineering, physics, and clinical practice to advance medical imaging technologies. His research focuses on image-guided interventions, surgical robotics, and CT innovations for radiation therapy and orthopedics. He leads the I-STAR Lab and collaborates with clinicians to translate imaging systems into clinical practice. Education: PhD in Physics (University of Michigan, 1998), MS in Physics (1994), BA in Physics & Astronomy (University of Minnesota, 1992). Research emphasizes 3D imaging systems, metal artifact reduction, and AI-driven reconstruction. He co-directs the Carnegie Center for Surgical Innovation and contributes to the Armstrong Institute for Patient Safety. Notable achievements include pioneering cone-beam CT (CBCT) for radiation therapy and intraoperative imaging. His work addresses clinical challenges through interdisciplinary collaboration. Awards and recognition include leadership in medical imaging societies and over 350 publications. His lab develops cutting-edge tools for surgical navigation, radiation oncology, and musculoskeletal imaging, with a focus on real-time 3D reconstruction and deformable motion correction. Labs/Teams: I-STAR Lab (Imaging Science for Technology and Applications in Research), Carnegie Center for Surgical Innovation.

• Cardiology and Cardiovascular Disease
• Heart Failure
• Epidemiology
• +۳ مورد دیگر

Lars Lund is a Professor/Senior Physician at Karolinska Institutet's Department of Medicine, Solna, leading research on heart failure mechanisms and clinical management. He specializes in heart failure with reduced and preserved ejection fraction (HFrEF/HFpEF), focusing on translational research, clinical trials, and registry-based studies. His work bridges molecular biology, epidemiology, and clinical practice, aiming to improve treatment strategies and patient outcomes. Key affiliations include the Swedish Heart Failure Registry (SwedeHF) and leadership of the Heart Failure Research Group. Education: Economics (College of Charleston, USA), Medicine (Duke University), Molecular Biology PhD (Karolinska Institutet, 2005). Roles: Professor of Cardiology since 2018, Associate Professor (2011–2018), and clinical training at Columbia University and Karolinska University Hospital. Research interests include new treatments for HFrEF, mechanisms of HFpEF, and optimization of guideline-directed therapy. His team investigates drug repurposing, biomarkers, and quality of life in heart failure patients. Notable grants include the Swedish Research Council-funded SPIRRIT-HFpEF trial and studies on inotropic therapies. Recent publications emphasize clinical trial design, registry analyses, and therapeutic gaps in heart failure subtypes. He was recognized as a Clarivate Highly Cited Researcher in 2024 for impactful contributions to cardiology. Advises over 10 PhD students and leads multi-institutional collaborations in Europe and globally. His lab focuses on translational research, bridging basic science and clinical application in heart failure management.

Thomas Heldtمشاهده پروفایل

دانشیار

• Computational Physiology
• Neuromonitoring
• Critical Care Informatics
• +۲ مورد دیگر

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

Mandana Arbabمشاهده پروفایل

استادیار

• Neurodegeneration
• Genome Editing
• CRISPR Technology
• +۲ مورد دیگر

Mandana Arbab is the Lodish Family Assistant Professor of Neurology at Harvard Medical School and faculty member of the Rosamund Stone Zander Translational Neuroscience Center at Boston Children's Hospital. Her research program focuses on developing precision gene editing therapies for neurodegenerative disorders. Current work employs CRISPR-based technologies to correct genetic mutations underlying conditions like spinal muscular atrophy and telomere biology disorders. Recent publications demonstrate innovations in base editing systems, including engineering novel editors with reduced off-target effects. Her 2023 Science paper established preclinical proof-of-concept for base editing in spinal muscular atrophy. Dr. Arbab's lab combines high-throughput screening, machine learning, and molecular biology to optimize therapeutic genome editing. She was awarded the NIH Pathway to Independence Award for her work advancing neurological gene therapies.

• Biomedical Engineering
• Electrical Impedance Tomography (EIT)
• Medical Device Design
• +۶ مورد دیگر

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

Xianghong Jasmine Zhouمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Dr. Xianghong Jasmine Zhou is a Professor in the Department of Pathology and Laboratory Medicine at the University of California, Los Angeles (UCLA) School of Medicine . Her work focuses on integrating genomic , epigenetic , and bioinformatic approaches for non-invasive cancer detection and monitoring through cell-free DNA analysis . Principal Investigator for multiple NIH grants (R01CA246329, U01CA230705, etc.) Developed software tools ( cfSNV , cfTools , CancerDetector ) for cell-free DNA mutation and methylation analysis Co-developed CancerLocator and HCC EV ECG score for tumor-of-origin prediction and hepatocellular carcinoma monitoring Research Interests: Specializes in 3D genome modeling , epigenetic regulation , and machine learning for liquid biopsy applications. Her work bridges computational biology with clinical translation , particularly in cancer diagnostics and treatment response assessment . Scientific Contributions: She has pioneered deep learning and population-based modeling approaches for cell-free DNA deconvolution , isoform-level functional annotation , and multi-omics integration . Her 2016 Cell paper on alternative splicing has been highly influential, with over 266 mentions.

Hans Uszkoreitمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Information Extraction
• +۳ مورد دیگر

Hans Uszkoreit is a German AI researcher and Honorary Professor at Technische Universität Berlin, specializing in language and knowledge technologies. He serves as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) Berlin and co-founder of the Artificial Intelligence Technology Center (AITC) in Beijing. He is also Chief AI Advisor at Lenovo Corporation. His roles include leading initiatives like the Berlin Big Data Center and the German Smart Data Forum, funded by German federal ministries. Uszkoreit’s research focuses on natural language processing, machine translation, and knowledge-based systems, with contributions to projects such as the Multilingual Europe Technology Alliance and spin-off companies like Sematell and Acrolinx. He has supervised over 40 PhD theses, emphasizing computational linguistics and computer science. His work bridges academic research and industry applications, fostering innovation in AI and language technologies.