Bio: Paul Bottomley pioneered research involving magnetic resonance imaging (MRI). He is currently the Director of the Division of MR Research at the Johns Hopkins University School of Medicine. In 1975 he started a PhD in Physics at Nottingham University in one of the three original projects that began MRI. In Raymond Andrew’s group, alongside Peter Mansfield, they built the first MRI system producing radiographic-quality images of the human wrist, performed the initial work on RF-field and power deposition in human MRI. Upon completing his PhD, he came to Johns Hopkins in 1978 to adapt MRI for spatially localized spectroscopy-MRS, using surface coils to demonstrate metabolite depletion and reversal in regional myocardial ischemia.
Research Interests: Nuclear magnetic resonance; Development of NMR imaging; Spatially localized spectroscopy
Bio: Professor Noah Cowan received a BS degree from the Ohio State University, Columbus, in 1995, and MS and PhD degrees from the University of Michigan, Ann Arbor, in 1997 and 2001 – all in electrical engineering. Following his PhD, he was a Postdoctoral Fellow in Integrative Biology at the University of California, Berkeley for 2 years. In 2003, he joined the Mechanical Engineering department at Johns Hopkins University, where he is now an Associate Professor. Professor Cowan’s research interests include mechanics and multisensory control in animals and machines. Professor Cowan received the NSF PECASE award in 2010, the James S. McDonnell Foundation Scholar Award in Complex Systems in 2012, and the William H. Huggins Award for excellence in teaching in 2004.
Research Interests: Navigation and control in biological systems; Animal biomechanics and multisensory control; Robotic systems, dynamics, and control; System identification of rhythmic systems; Medical robotics
Bio: Nicholas Durr’s research group develops and clinically-translates novel optical technologies to address unmet clinical needs. These technologies draw upon concepts from optical engineering, light-tissue interaction, and computational imaging to create new tools for health care providers and patients. Examples include quantitative colonoscopy for improving colorectal cancer screening, non-contact oxygenation mapping for surgical guidance, low-cost devices for ocular diagnostics in low-resource settings, and in-vivo flow cytometry for monitoring neutropenia.
Research Interests: Endoscopy; Medical devices; In-vivo diagnostics; Microscopy; Surgical guidance; Ocular imaging; Cytometry; Global health; Clinical translation; Commercial translation
Bio: Dr. Frey’s areas of expertise are SPECT and PET imaging, task-based image quality evaluation, tomographic reconstruction, and photon transport simulations. He applies these to solve medical problems in cardiology, oncology, and neurology. Current research projects include: developing and evaluating improved quantitative imaging for targeted radionuclide cancer therapy treatment planning; developing and validating multi-modality (PET/CT, SPECT/CT, and MRI) quantitative imaging metrics for assessment of response to cancer therapy; developing, optimizing and validating simultaneous dual isotope SPECT methods for assessing rest-stress myocardial perfusion and myocardial perfusion-innervation mismatch; optimizing pediatric nuclear medicine procedures to optimize dose while maintaining adequate diagnostic image quality; and optimizing instrumentation, acquisition, and reconstruction methods and parameters for myocardial perfusion SPECT.
Research Interests: Quantitative imaging; Cancer response imaging; Targeted radionuclide cancer therapy; SPECT and PET Imaging; Task-based image quality evaluation; Tomographic reconstruction
Bio: Dennice F. Gayme received a B.Eng & Society from McMaster University in 1997 and an MS from the University of California at Berkeley in 1998, both in Mechanical Engineering. She was a Senior Research Scientist in the Systems and Control Technology and Vehicle Health Monitoring Groups at Honeywell Laboratories in Minneapolis, MN from 1999-2003. She received her PhD in Control and Dynamical Systems in 2010 from the California Institute of Technology, where she was later a postdoctoral fellow in the Computing and Mathematical Sciences Department. In January 2012, she joined the Department of Mechanical Engineering at the Johns Hopkins University, where she is currently an Assistant Professor with secondary appointments in the Departments of Electrical and Computer Engineering and Geography and Environmental Engineering. Professor Gayme’s research interests are in modeling, analysis and control of large-scale networked and spatially distributed systems in applications such as power networks, wind farms and wall-turbulence.
Research Interests: Dynamics and control of nonlinear; Networked and spatially distributed systems; Modeling of turbulence and transition to turbulence in wall bounded shear flows and wind farms; Grid integration of renewable energy sources
Bio: Greg Hager is the Mandell Bellmore Professor in the Computer Science Department at the Johns Hopkins University. His principal areas of research are computer vision and robotics, and application interests are in the area of medical devices and human-machine systems for manufacturing or in-home applications. He directs the Computational Interaction and Robotics Lab (CIRL) in the Laboratory for Computational Sensing and Robotics. He is also the deputy director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (CISST).
Research Interests: Robotics; Medical Robotics; Human-Machine Interaction; Computer Vision
Bio: Xingde Li’s research interest centers on development of cutting-edge and translational biophotonics technologies that interface and bridge basic engineering research and medical diagnosis and intervention. The research and training involves vertical integration of multiple disciplines, including (but not limited to) optics, electrical engineering, micro-nano technology, biology and clinical medicine. The ultimate goal of our research is to transform our capability of disease detection at early, manageable stages, monitoring therapeutic effects and treatment outcomes, and guiding interventions. The technologies also offer new opportunities for basic research in exploring new frontiers of disease mechanisms, brain function, bio-marker discovery and integrated diagnosis and therapy.
Research Interests: Optical Coherence Tomography (OCT); Multiphoton Endomicroscopy; Label-free Mass-spectrometry Imaging (MSI); NIR Fluorescence Imaging; Functional Nanocapsules and Nanoparticles for Molecular Imaging; Noninvasive Cancer Detection, Infection and Inflammation Detection, Preterm Birth Assessment, Wound Healing Imaging and Surgical Guidance; In vivo Cellular Metabolism Imaging, Brain Function Imaging
Bio: Dr. Manbachi is an Assistant Professor of Neurosurgery, Biomedical Engineering, Electrical and Computer Engineering at Johns Hopkins University. His research interests include applications of sound and ultrasound to various neurosurgical procedures. These applications include imaging the spine and brain, detection of foreign body objects, remote ablation of brain tumors, monitoring of blood flow and tissue perfusion, as well as other upcoming interesting applications such as neuromodulation and drug delivery. His pedagogical activities has included teaching engineering design, innovation, translation and entrepreneurship as well as close collaboration with clinical experts in Surgery and Radiology at Johns Hopkins.
Amir is an author on > 25 peer-reviewed journal articles, > 30 conference proceedings, > 10 invention disclosures / patent applications and a book entitled “Towards Ultrasound-guided Spinal Fusion Surgery.” He has mentored 150+ students, has so far been raised $15M of funding and his interdisciplinary research has been recognized by a number of awards, including University of Toronto’s 2015 Inventor of Year award, Ontario Brain Institute 2013 fellowship, Maryland Innovation Initiative and Johns Hopkins Institute for Clinical and Translational Research’s Career Development Award.
Research Interests: Medical Devices; Design and Fabrication of Medical Devices; Acoustics; Acoustic Engineering; Ultrasound; Ultrasound Hardware; Ultrasound sensors; Ultrasound Transducers; Ultrasound Imaging; Therapeutic Ultrasound; Ultrasound Neuromodulation; High Intensity Focused Ultrasound (HIFU); Hydrophones; Acoustic Characterization; Translational Research; Animal Studies; Preclinical Studies; Clinical Studies; Metal 3D printing; Medical device fabrication; Werarbles and implantables
Bio: Michael I. Miller is the Bessie Darling Massey Professor and Director of Biomedical Engineering at Johns Hopkins University. He is also director of the Center for Imaging Science and co-director of the Kavli Neuroscience Discovery Institute.
As a biomedical engineer who specializes in data science, Miller is pioneering cutting-edge technologies in computational medicine to understand and diagnose neurodegenerative diseases. His research focuses on the functional and structural characteristics of the human brain in health and disease, including Huntington’s disease, Alzheimer’s disease, dementia, bipolar disorder, schizophrenia, and epilepsy. By developing new tools to analyze patient brain scans, derived from advanced medical imaging technologies, Miller aims to predict the risk of developing neurological disorders years before the onset of clinical symptoms. His lab is currently devising cloud-based methods to build and share libraries of brain images—and the algorithms used to understand them—associated with neuropsychiatric illness. Miller’s research is highly translational, and he has co-founded four start-up companies in the past decade.
Miller has co-authored more than 200 peer-reviewed publications, as well as two highly cited textbooks on random point processes and computational anatomy. In 2002, he was recognized by the Institute for Scientific Information (ISI) Essential Science Indicators for garnering the highest rate of increase in total citations in the field of engineering for his work in computational anatomy.
He has received numerous awards for his work, including the national Institute of Electrical and Electronics Engineers (IEEE) Biomedical Engineering Thesis Award in 1982, the Johns Hopkins Paul Ehrlich Graduate Student Thesis Award in 1983, and the National Science Foundation (NSF) Presidential Young Investigator Award in 1986. He was named an inaugural Johns Hopkins University Gilman Scholar in 2011 for demonstrating a distinguished record of research, teaching, and service. He is an elected Fellow of the American Institute for Medical and Biological Engineering and the Biomedical Engineering Society.
Miller earned his BS from the State University of New York at Stony Brook in 1976, and his MS and PhD in biomedical engineering from Johns Hopkins University in 1978 and 1983, respectively. He was the Newton R. and Sarah L. Wilson Professor in Biomedical Engineering at Washington University in St. Louis until joining Johns Hopkins University in 1998. He was named the Herschel and Ruth Seder Professor in Biomedical Engineering in 2003, before his appointment as the director of biomedical engineering in 2017.
Research Interests: Image Understanding and Computer Vision; Medical Imaging and Computational Anatomy; Computational Neuroscience; Data Science; Brain Mapping; Pattern Theory
Bio: Dr. Arvind P. Pathak is Associate Professor of Radiology and Oncology at the Johns Hopkins University School of Medicine and a member of the Johns Hopkins Kimmel Cancer Center. His work focuses on developing new imaging methods, computational models and visualization tools to ‘make visible’ critical aspects of cancer, neurobiology and tissue engineering.
Dr. Pathak received his BS in electronics engineering from the University of Poona, India, in 1993, and in 2001 completed his PhD in Functional Imaging from the joint graduate program between the Biophysics Department at the Medical College of Wisconsin and the Biomedical Engineering Dept at Marquette University. During his PhD he was the recipient of a Whitaker Fellowship. After a postdoctoral fellowship in the Molecular Imaging Program at Johns Hopkins University, he joined the Johns Hopkins faculty in 2003.
Research Interests: Functional and Molecular Imaging; Systems Biology; Tumor Microenvironment; Multiscale Imaging; Computational and Visualization Tools; Tissue Engineering
Bio: Sridevi Sarma’s lab seeks to understand neuronal patterns in the central nervous system in both health and in disease. They apply a variety of computational techniques to model and modulate neuronal behaviors including mechanistic modeling, statistical modeling, dynamical systems, and control techniques. They often work with multivariate time series data (e.g. EEG) and apply machine learning techniques to uncover patterns in neuronal data. Their applications span Parkinson’s disease, epilepsy, brain-machine interfaces, chronic pain, decision making, and sleep. They collaborate closely with electrophysiologists and clinicians with the ultimate goal of designing better treatment for diseases of the central nervous system.
Bio: J. Webster Stayman, PhD is an Assistant Professor in the Biomedical Engineering Department and Principle Investigator of the AIAI Lab. His research interests have included tomographic reconstruction for emission and transmission tomography, statistical reconstruction approaches, regularization design, prior-image-based reconstruction, cone-beam CT (CBCT) modeling and analysis, optical system modeling and analysis, test bench construction, instrumentation, physical experimentation, and task-driven and adaptive acquisitions. He received his B.S. in Computer & Systems Engineering from Rensselaer Polytechnic Institute in 1995, his M.S. in Electrical Engineering from the University of Michigan in 1998, and his Ph.D. in Electrical Engineering from the University of Michigan in 2003.
Research Interests: Medical imaging systems modeling, design, and optimization (including x-ray CT, cone-beam CT, phase-contrast CT); Interventional imaging and integration of patient-, task-, and device-specific information into imaging devices and workflows; Signal processing, estimation theory, and optimization — especially as applied to the development of sophisticated image reconstruction algorithms and acquisition strategies for high-performance on low-fidelity or sparse data.
Bio: Nitish V. Thakor served on the faculty of Electrical Engineering and Computer Science of the Northwestern University from 1981 to 1983, and since then he has been with the Johns Hopkins University, School of Medicine, where he is currently serving as a Professor of Biomedical Engineering. He conducts research on neurological instrumentation, biomedical signal processing, micro and nanotechnologies, neural prosthesis, clinical applications of neural and rehabilitation technologies and brain-machine interface. He has authored more than 250 peer-reviewed publications on these subjects. He was the Editor in Chief of IEEE Transactions on Neural and Rehabilitation Engineering and presently of the Medical and Biological Engineering and Computing journal.
Currently Dr. Thakor directs the Laboratory for Neuroengineering and is also the Director of the NIH Training Grant on Neuroengineering. One of his current research projects, in collaboration with a multi-University consortium funded by DARPA, is to develop a next generation neurally controlled upper limb prosthesis. He is actively engaged in developing international scientific programs, collaborative exchanges, tutorials and conferences in the field of Biomedical Engineering.
Research Interests: Robotics; Biomedical signal processing; Biomedical sensors; Biomedical instrumentation and computer applications in medicine
Bio: Raimond L. Winslow is a professor of biomedical engineering at the Johns Hopkins University School of Medicine. He holds an additional appointment in the Whiting School of Engineering at Johns Hopkins, through which he serves as Director of the Institute for Computational Medicine and Director of the Center for Cardiovascular Bioinformatics and Modeling.
Dr. Winslow holds a B.S. in electrical engineering from Worcester Polytechnic Institute and a PhD in biomedical engineering from the Johns Hopkins University. He concluded his training at the Institute for Biomedical Computing and Department of Neurology within Washington University in St. Louis. He joined the faculty of Johns Hopkins in 1991 as an assistant professor, became an associate professor in 1994 and a full professor in 2000.
Research Interests: Computational modeling of intracellular signaling, metabolism and electrical excitability in cardiac myocytes; Integrative modeling of cardiac function in health and disease; Biomedical data representation and database design; Grid-computing and data-sharing