Awards and achievements

September 17, 2014

Dr. Jordan Green named in 2014 Brilliant Ten by Popular Science

BME AccuSpine Probe Design TeamBME Associate Professor, Jordan Green, has been named as a Popular Science 2014 Brilliant Ten. The Brilliant Ten are identified as brightest young minds shaping science, engineering and the world. Dr. Green was selected for the honor based on his groundbreaking work in designing biodegradable particles that teach the human immune system how to fight even the most elusive cancers.

Popular Science comments, “Remember their names: they are already changing the world as we know it,” and cite the Brilliant Ten as tomorrow’s Einsteins, Zuckerbergs, and Marie Curies.

The Department of Biomedical Engineering applauds Dr. Green for his outstanding work and congratulates him on this well-deserved honor.

View the full article in the October issue of Popular Science, or online. Learn more about Dr. Green’s research.

September 10, 2014

Johns Hopkins Biomedical Engineering Ranked #1 in U.S. News & World Report 2014 Rankings

The Johns Hopkins biomedical engineering program remains ranked first, ahead of Duke, MIT, Georgia Tech, and Rice universities in the newest “U.S. News" rankings. The Johns Hopkins University remains among the top 12 of best colleges, which outpaced its 12th place “tie” last year. The Whiting School of Engineering rose to a tie for 15th on the list of top undergraduate engineering programs at schools offering a PhD. See JHU Hub coverage.

September 3, 2014

TBME Monthly features research paper authored by Leslie Tung, Rene Vidal, et al

The September edition of the IEEE Transactions on Biomedical Engineering newsletter chose to feature the research conducted by BME’s Professor Leslie Tung and Associate Professor Rene Vidal as well as other Johns Hopkins contributors. Their paper, “Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes” uses techniques from signal processing and machine learning to develop a spectral grouping-based algorithm to discriminate the electrophysiological differences between human embryonic stem cells cardiomyocytes. The paper was published in IEEE Volume 6, Issue 9.

September 2, 2014

Dr. Rene Vidal receives NSF Big Data Award

Dr. Rene Vidal, Associate Professor in the Department of Biomedical Engineering and the Center for Imaging Science, has received funding for a new research project from the Critical Techniques and Technologies for Advancing Big Data Science & Engineering  (BIGDATA) Program of the National Science Foundation, which supports "developing or studying fundamental techniques, theories, methodologies, and technologies of broad applicability to Big Data problems.” 

The grant, entitled “Learning a Union of Subspaces from Big and Corrupted Data,” provides $600K for three years to support the development of theory and algorithms for automatically discovering multiple low-dimensional structures in high-dimensional data, and evaluates these algorithms in image clustering applications. The developed techniques will enhance our ability to handle big data problems from multiple sources and modalities, and advance the knowledge on how to interpret massive amounts of complex high-dimensional data. This research will be done in collaboration with Prof. Daniel Robinson, from the Department of Applied Mathematics and Statistics of Johns Hopkins University.

August 27, 2014

BME-led engineering team selected as finalists in $10 million “tricorder” competition

Aezon Health, a team comprising 19 Hopkins undergrads and led BME senior Tatiana Rypinski, has been selected as one of 10 teams in the final round of the $10 million Qualcomm Tricorder XPRIZE competition. Aezon is the only undergraduate team in the competition.

The international contest challenges teams to develop consumer-friendly “tricorders” — the fictional device of Star Trek fame — capable of diagnosing a set of 15 conditions and capturing key human health metrics. Each device can weigh no more than five pounds.

Aezon’s system consists of a unit that monitors vital signs, a smartphone app, lab box, and a cloud database that stores patient test results for use later by doctors and patients through an online portal. Learn more. 

August 26, 2014

AccuSpine probe design team places second in 2014 BMEStart competition

AccuSpine ProbeThe AccuSpine pedicle probe — designed by BME undergrads, Anvesh Annadanam, Clay Andrews, Eric Xie, Adarsha Malla, Bradley Isaacs, Erica Schwarz, Ravi Gaddipati and Ravi Gaddipati and Luis Herrera — has placed second in the 2014 BMEStart competition. The team will receive a cash prize in the amount of $5,000 and will be honored at the October 2014 BMES Annual Meeting in San Antonio, TX. This is the latest in a string of awards won by the group who developed their device in the Center for Bioengineering Innovation and Design program. See 2014 Design Day coverage

August 13, 2014

BME team takes 1st place in NIH 2014 Undergraduate Biomedical Engineering Competition

BME AccuSpine Probe Design TeamThe National Institute of Biomedical Imaging and Bioengineering — part of the National Institutes of Health — have selected a team of Johns Hopkins Biomedical Engineering undergrads as the first place winner of the 2014 Design by Biomedical Undergraduate Teams (DEBUT) challenge, The BME design team of seven, who presented their project at Johns Hopkins Design Day in May 2014, was awarded a $20,000 prize for their AccuSpine pedicle probe.

The AccuSpine probe will aid in the correct placement of screws used in spinal fusion procedures by providing real-time feedback to the surgeon. The device uses vibration and flashing LED lights to warn when a breach is detected. The AccuSpine probe is expected to increase accuracy of screw placement during spinal fusion surgeries and reduce complications that can result from misplaced screws.

Judging was based on four criteria: the significance of the problem being addressed; the impact on clinical care; the innovation of the design; and the existence of a working prototype. NIH Press Release 

August 4, 2014

BME student Phani Gaddipati wins Google virtual flashcard app-building competition

Phani GaddipatiPhani Gaddipati, a junior in the Johns Hopkins biomedical engineering program, has won the top prize in a global app-building contest sponsored by Google. The goal was to develop a customizable flashcard app for end-users.

Gaddipati’s  Stacks Flashcards app is designed to aid memorization in the style of old-school paper flashcards. His inspiration was his organic chemistry class, which required a lot of memorization.

His app bested hundreds of apps submitted by hundreds of students from 90 countries. The winning app has already been downloaded more than 23,000 to date. As part of the first-place prize, Gaddipati has won a trip to San Francisco to visit Google headquarters. Read the full story in the JHU Hub

July 22, 2014

AAPM awards research funding to BME postdoctoral fellow

Warren GraysonGrace Jianan Gang, PhD, a postdoctoral fellow in the I-STAR Lab in the Department of Biomedical Engineering, was awarded a $25,000 Research Seed Funding Grant for her proposal on task-based imaging at the 2014 Annual Meeting of the American Association of Physicists in Medicine (AAPM) in Austin, Texas.

Grace’s work extends new methods for modeling image quality in CT in a way to directly incorporate the imaging task in the acquisition and reconstruction of 3D images, offering improvement in image quality and reduction in radiation dose. Grace works under the supervision of Dr. Jeff Siewerdsen.

BME PhD student Adam Wang wins Jack Fowler Junior Investigator Award from AAPM

Adam Wang, PhD, was presented with the Jack Fowler Junior Investigator Award at the a 2014 Annual Meeting of the American Association of Physicists in Medicine (AAPM) for his talk entitled "Low-Dose C-Arm Cone-Beam CT with Model-Based Image Reconstruction for High-Quality Guidance of Neurosurgical Intervention."

Adam’s work brings novel 3D image reconstruction methods — which are now finding increased use in diagnostic radiology — into the operating room. His approach offers improved image quality and lower radiation dose to image-guided procedures. The advanced technique affords the ability to form such images with computation time — and is compatible with streamlined surgical workflows.

Adam’s approach combines parallel computation on GPU with accelerated optimization methods to create 3D images in as little as two minutes. By contrast, conventional methods require an hour or more.

Adam completed his postdoctoral fellowship in the I-STAR Lab at the Department of Biomedical Engineering under the supervision of Dr. Jeff Siewerdsen.