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GBO

In order to show that they have learned sufficient material from their classes, students must take and pass the Graduate Board Oral exam. To see previous GBO Committees compiled by students, look at the list below. If you would like to submit information on your own GBO committee, please fill out the form on the Submit Committee Information page, under the Submit Information section. Thanks!! :)

Facts about the GBO

  • Requirements, as determined by the Hopkins GBO Committee:
    • At least THREE WEEKS BEFORE your GBO exam date, you need to turn in the BME GBO form to Hong Lan. She'll turn it into the Hopkins GBO Committee, and hopefully they'll approve your committee. If they don't approve it, then you need to revise your committee members according to their requirements.
    • Upon completion of a majority of student's course work, he/she must pass a Graduate Board Oral (GBO) examination. 
    • The examination committee will consist of five faculty of the Johns Hopkins University. Currently, at least one and no more than two members of the examining committee may be from the BME Department and/or Committee, or be Whitaker Biomedical Engineering Institute faculty. Students may discuss the composition of their examination committees with their advisory committees. The composition of this committee must be approved by the BME Graduate Program Director and the Graduate Board. 
    • The Graduate Board requires two weeks notification before scheduling any GBO examination, and special permission is required for examination scheduled outside of the normal fall, winter, and spring examination periods. 
    • The GBO examination must be completed within 6 months of the end of classes for the Spring semester of the second year (for Ph.D. candidates) or third year (for MD-Ph.D. candidates).
    • PhD Curricula: GBO Requirements
  • Summary of Requirements:
    • Committee Members: one or two professors from within the Biomedical Engineering Department and at least three from outside the BME Dept
    • Committee Chairman: will be the highest-ranking (Associate Professor or Professor) outside faculty member on the committee that is not your research advisor
    • Content: must include some engineering, some math, and some biology
    • Paperwork: at least THREE WEEKS BEFORE the GBO, you need to download the GBO form and turn it into Hong Lan, our course administrator. 
  • Link to Previous GBO Committees:

How to Prepare for the GBO

Helpful Tips:
  • Email your preferred professors at least four months in advance to take care of any scheduling issues.
  • Go to these professors and ask them, "What topics should I focus on?" Some will explicitly tell you, "Your research covers this, so focus on [this particular area]." Some will give you a paper or a book chapter to read. Some will be "mysterious" -- but it's worth a try, anyway. 
  • Take at least a month off from lab and study.
  • Schedule a "Mock GBO" a week or more before your "real" GBO. Look through the lists for students who've had the same professors on their committees. Ask them to act like the professors and drill you with questions. (This REALLY helps.)
  • Arrange for coffee and/or refreshments for your committee members. That way, no one will be grouchy or hungry while testing you. If you're doing your GBO in Talbot Library on the JHMI campus, you can schedule a catering-ish event w/ the Daily Grind (located in Broadway Research Building).

List of Previous GBO Committees

The following list shows previous committees from students who have passed their GBOs. If you are preparing for your GBO and have a similar professor on your committee, or if you're covering a similar research area, you can look up these students' contact info on JHED and ask them to be on your "Mock GBO."   Also, the following page is dated but might be helpful for some:  http://etienne.ece.jhu.edu/jvogelst///gbo_list.htm

Showing 18 items
Research AreaResearch FocusStudent NameThesis AdvisorCommitteeTopics on GBO
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BioMechanics Birth Mechanics Tara Johnson Robert Allen Robert Allen (BME); Edith Gurewitsch (Ob/Gyn); Steve Belkoff (Mech E); Jerry Prince (ECE); Artin Shoukas (BME) Uterine forces (my research); Study design/Basic Epidemiology; In-depth questions about my research; Medical imaging systems - Chemistry behind X-rays, CT theorems; How the body adapts to hemorrhage 
Cardiovascular Systems Cardiovascular + Low-Gravity Eric Tuday Art Shoukas Lawrence Schramm; Art Shoukas; Markus Hilpert; Jon Lorsch; Tim Weihs cardiovascular systems; autonomic nervous system; partial differential equations; wave equation; first section of molecules and cells; structural properties of materials 
Cardiovascular Systems Electrophysiology Seth Weinberg Leslie Tung Leslie Tung (BME); Mark Shelhamer (Otolaryngology, BME); Ron Berger (Cardiology); Joseph Greenstein (BME); Rajini Rao (Physiology)  cardiac electrophysiology; nonlinear dynamics; cardiac arrhythmia mechanisms; calcium cycling; ion channels and transporters  
Cardiovascular Systems Cardiovascular Electrophysiology Josh Cysyk Les Tung  Les Tung; Andreas Andreou; David Yue; Mark Shelhammer; Ron Berger cardiac electrophysiology; semiconductor devices; calcium channels; nonlinear dynamics; cardiology 
Cardiovascular Systems Computational Cardiac Electrophysiology Molly Maleckar Natalia Trayanova, PhD Dr. Natalia Trayanova (BME); Dr. Raimond Winslow (BME); Dr. Joseph Greenstein (BME); Dr. Henry Halperin (SOM); Dr. Brian O'Rourke (SOM) Membrane channels (specifically cardiac); Circuit theory as it related to biophysical modeling; Questions relating to specific theories underlying the excitation of cardiac tissue; Myocardial remodeling in the context of disease 
Cardiovascular Systems Electromechanics, Modeling Jason Constantino Natalia Trayanova, PhD Natalia Trayanova (BME); Leslie Tung (BME); Albert Lardo (Medicine);Vicky Nguyen(Mech E); Narutoshi Nakata (Civil E) Action Potential and currents; Extrusion Mechanisms; F-SL relationship; Frank Starling Mechanism; Continuum Mechanics; Conservation of Momentum; Finite Element Method (general); Isoparametric Elements 
Computational Biology Computational Biology, Bioinformatics Donavan Cheng Mike Beer Mike Beer; Andre Levchenko; Wilson Rugh; Shih-Ping Han; Paul Maiste k-means clustering; optimization; KKT conditions; linear vs. nonlinear system stability 
Medical Imaging Molecular Imaging Chris Long Jeff Bulte Justin Hanes; Chuck Drake; Kevin Yarema; Kostas Konstantopolous; Mark Teaford drug delivery; immunology; sugar stuff; receptor ligand biophysics; anatomy 
Medical Imaging MRI, Diffusion Tensor Imaging (DTI), Image Analysis Bennett Landman Jerry Prince Susumu Mori (Radiology/BME); Sarah Ying (Neurology); Larry Schramm (BME); Carey Priebe (Applied Math); Jerry Prince (ECE/BME) MRI (why is MRI noisy) and Fourier transforms (graphical Fourier transforms); Neurodegeneration and MR imaging thereof (what is it, how do we image it, what are we imaging); Neuroscience/systems anatomy (focus on the motor system); Statistics: Neyman Pearson, generalized maximum likelihood, nonparametric Monte Carlo, etc.; Anything in my or Dr. Prince's background. 
Medical Imaging MRI of Perfusion Alan Huang Peter van Zijl Susumu Mori; Nitish Thakor; Brian Caffo; Edward Hedgecock; Peter van Zijl; Alternates: Paul Fuchs; Dwight Bergles Fourier transform theory and properties; EEG instrumentation and issues when combined with fMRI (instrumentation, electrodes, noise, patient safety); TILT pulse sequence, ROC curve, sensitivity, specificity, hypothesis testing; anatomy and physiology of a neuron, thalamic relay neurons, visual pathway from eye to V1, structure of a retina (layers), basal ganglia pathways (direct and indirect), where currents and voltages in the brain come from; MRI physics, structure of a pulse sequence; synaptic transmission; neurotransmitters 
Medical Imaging MRI of the CNS Issel Anne Lim Peter van Zijl Peter van Zijl; Lawrence Schramm; Susumu Mori; Amy Bastian; Brian Caffo; Alternates: Henry Colecraft; Stewart Hendry basics of MRI signal generation; spinal cord tracts and cross-sectional anatomy; diffusion coefficients, Fourier transforms, diagramming a cell; central pattern generators and reflexes; biostatistics, hypothesis testing, gambling odds and probability 
Molecular and Cell Systems BioMEMS / SMD Kelvin Liu Jeff Wang Jeff Wang; Markus Hilpert; Mandy Ward; Ludwig Brand; Sean Sun single molecule detection bioMEMS; confocal spectroscopy 
Molecular and Cell Systems BioMEMs; Microfluidics; CNS, Axon Degeneration Suneil Hosmane Nitish Thakor, PhD Andreas Andreou, PhD (ECE); Jeff Wang, PhD (MechE); Nitish Thakor, PhD (BME); Arun Venkatesan, MD, PhD (Neurology); Fizan Abdullah, MD, PhD (Pediatric Surgery) Andreou - Fick's Law, Diffusion; Wang - Stoke's Law, Hydrostatics, Particle Flow; Thakor - Microfluidics, Gradient Generation; Venkatesan - Developmental Neurobiology, Genetics, Molecular Biology; Abdullah - Microfluidics, Immunology 
Systems Neuroscience Calcium Channels Ivy Dick David Yue David Yue; Nick Marsh-Armstrong; Eric Young; Markus Hilpert; Dr. Neiman calcium channels; neuroscience (developmental); ion channel models; PDEs; probability and statistics 
Systems Neuroscience Computational Neuroscience, Auditory Neurophysiology John Issa David Yue Jim Fill, Paul Fuchs, Howard Weinert, David Yue, Kechen Zhang; Alternates: Donniell Fishkind, Eric Young Markov models and definitions, structure and function of the cochlea, DTFT and DFT, synaptic plasticity (Hebb's rule, etc.) and single-channel recordings, Hopfield networks 
Systems Neuroscience Spinal Cord Regeneration and Myelination Misti Marr John McDonald, Lawrence Schramm Lawrence Schramm; Henry Colecraft; John Wierman, Rejji Kuruvilla, Emanuel Horowitz; Alternates: Martin Oudega, Andres Andreou spinal cord pathways and research methods; calcium concentrations, channels, and synapses; lack of memory and geometric series; tyrosine receptor kinases and signalling; biocompatibility, methods of failure 
Systems Neuroscience Spinal Cord Regeneration Debbie Castillo Lawrence Schramm Lawrence Schramm; Henry Colecraft; Amy Bastian; Dan Berkowitz; John Wierman; Alternates: Eric Young; Jay Baraban spinal cord pathways and research; calcium signals and ionic channels; CPGs and cerebellar circuits; cardio and smooth mm; probability and statistics 
Systems Neuroscience Auditory Neurophysiology Luke Johnson Xiaoqin Wang, PhD Jim Fill - Chair (Applied Math); Markus Hilpert (Geography + Environmental Eng); Brad May (Oto-Head-Neck Surgery); Xiaoqin Wang (BME); Eric Young (BME);  Jim Fill - Poisson Process, Renewal Process, Random Variables in a plane; Markus Hilpert- PDE's, Heat equation; Brad May - processing at each stage of auditory pathway; Xiaoqin Wang - action potential, information content in spike train; Eric Young (BME) - information theory 
Showing 18 items