Vanderbilt University

Reviewers: 231

29th in USA

Reviews: 2,507

29th in USA

Merit: 7,515

29th in USA

Openness: 0.9

172nd in USA

Journal Editors at Vanderbilt University

Reviewers from Vanderbilt University

  • Reviewer

    Patrick Hu

    My lab studies the role of insulin-like growth factor signaling in aging, development, and metabolism.

  • Reviewer

    E. Brian Welch

    I am a biomedical engineer whose Ph.D. training focused on biomedical imaging. Specifically, I am an expert in methods and software development for the magnetic resonance imaging (MRI) environment. My previous and ongoing work focuses on overcoming the real world limitations that hinder research and clinical applications of MRI. Strategies to overcome these challenges include hardware and software solutions, alternative data acquisition and reconstruction methods, novel MRI pulse sequences, quantitative imaging methods and associated post-processing tools. I possess a unique set of knowledge about the abilities and limitations of the 3T and 7T human scanners housed at the Vanderbilt University Institute of Imaging Science based on more than 15 years experience in MRI and 5 years of work experience as the on-site Philips Healthcare MR clinical scientist supporting research projects at Vanderbilt University. I am now focused on applying that experience and knowledge to my own independent research programs as a Vanderbilt faculty member.

  • Reviewer

    Bennett A Landman

    My research is in the area of medical image processing and statistical inferences. Specifically, I am interested in methods for complex, high-dimensional and under-sampled spaces with empirical data. My research concentrates on applying these technologies to leverage population-imaging studies to improve understanding of individual anatomy for personalized medicine. My group has targeted studies related to three broad application areas: label fusion / statistical segmentation, robust multi-modal inference methods, and high-throughput quality control for medical imaging.

  • Reviewer

    Suman Kundu

    Dr. Suman Kundu is a researcher in the Division of Cardiovascular Medicine at Vanderbilt University Medical Center in Nashville, USA. Presently he is working at various NIH-funded projects linking standard risk factors, genetic variants and bio-markers with cardiovascular disease among patients with HIV. Prior to joining at Vanderbilt in 2015, he received his DSc in Epidemiology from Erasmus University in the Netherlands and MSc in Mathematics from Indian Institute of Technology, Kanpur in India. His works on methodological and analytical considerations in prediction research, Simulation study and cardiovascular research. He has published several manuscripts in peer reviewed journals focusing on incremental value of adding new bio-markers in predicting complex diseases through modeling studies to justify whether empirical investigation is warranted. He is interested in advanced statistical modeling applied in health science research.

  • Reviewer

    Taylor T. Johnson

    Taylor T. Johnson is an Assistant Professor of Computer Engineering (CmpE), Computer Science (CS), and Electrical Engineering (EE) in the Department of Electrical Engineering and Computer Science (EECS) in the School of Engineering (VUSE) at Vanderbilt University (since August 2016), where he directs the Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL) and is a Senior Research Scientist in the Institute for Software Integrated Systems (ISIS). Taylor was previously an Assistant Professor of Computer Science and Engineering (CSE) at the University of Texas at Arlington (September 2013 to August 2016). Taylor earned a PhD in Electrical and Computer Engineering (ECE) from the University of Illinois at Urbana-Champaign in 2013, where he worked in the Coordinated Science Laboratory with Prof. Sayan Mitra, and earlier earned an MSc in ECE at Illinois in 2010 and a BSEE from Rice University in 2008. Taylor worked in industry for Schlumberger at various times between 2005 and 2010 helping develop novel embedded control systems for downhole tools. Taylor's research focus is developing formal verification techniques and software tools for cyber-physical systems (CPS). Taylor has published over four-dozen papers on these methods and their applications across CPS domains such as power and energy systems, aerospace and avionics systems, automotive systems, transportation systems, and robotics, two of which were recognized with best paper awards, from the IEEE and IFIP, respectively, and one of which was awarded an ACM Best Software Repeatability Award. Taylor's research aims to develop reliable embedded and cyber-physical systems by advancing and applying techniques and tools from formal methods, control theory, embedded systems, and software engineering. Taylor received the AFOSR Summer Faculty Fellowship Program (SFFP) award to visit the Air Force Research Laboratory (AFRL)'s Information Directorate in 2015, was a Visiting Faculty Research Program (VFRP) award fellow at AFRL's Information Directorate in 2014, and was a visiting graduate research assistant through an SFFP award at AFRL's Space Vehicles Directorate at Kirtland Air Force Base in 2011. Taylor is a 2016 recipient of the AFOSR Young Investigator Program (YIP) award, a 2015 recipient of the NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII), and his research is / has been supported by AFRL, AFOSR, ARO, NSF (CISE CCF/SHF, CNS/CPS; ENG ECCS/EPCN), NVIDIA, ONR, Toyota, and USDOT.

  • Reviewer

    Alexander Maki

    I'm a scientist and educator, investigating why people protect the natural environment, why people help one another, and why they take care of their own health. Currently, I'm an interdisciplinary postdoctoral researcher with the Vanderbilt Institute for Energy and Environment and the Climate Change Research Network. My doctoral training was in social psychology, with an emphasis on quantitative methods, at the University of Minnesota. Learn more about my work here: