Computational Medicine Night is Tuesday, March 5, 2019.

Register here to attend.

Calendar

Nov
15
Thu
2018
Rising Stars: Women 2018 Workshop
Nov 15 – Nov 16 all-day

This Rising Stars in Biomedical career development workshop aims to bring together top female postdocs and senior graduate students whose research focuses on biomedical applications. The program includes technical talks, panels and discussions with faculty, researchers from Baltimore and Boston area clinical labs and industry. The goal is to provide mentoring and support for top junior researchers as they transition to the next phase of their career, and to enable them to form connections with their cohort of investigators in different areas of biomedical research.

Participants and Presentation Abstracts

Agenda

November 14

7:00–8:30pm Welcome Reception: Cocktails and Hors D’oeuvres

Alizee Bistro

November 15

8:30–9:00 am Continental Breakfast
9:00–9:15 Welcome Remarks

Sridevi Sarma, Assoc. Prof. of Biomedical Engineering, JHU

9:15–10:30 Impact Session I 

Archana Venkataraman, John C. Malone Asst. Prof. of Electrical and Computer Engineering, JHU

Nicholas Durr, Asst. Prof. of Biomedical Engineering, JHU

Rachel Karchin, Prof. of Biomedical Engineering, JHU

Ryan Roemmich , Asst. Prof. Physical Medicine and Rehabilitation, JHU SOM

Rene Vidal, Herschel L. Seder Prof. of Biomedical Engineering, JHU

Raimond L. Winslow, Raj and Neera Singh Prof. of Biomedical Engineering, JHU

Sridevi Sarma, Assoc. Prof. of Biomedical Engineering, JHU

Polina Golland, Prof. of Elec. Engineering and Computer Science, MIT

Deborah Burstein Mattingly, Assoc. Prof. of Radiology, Health Sciences and Technology, Beth Israel Deaconess Medical Center, Harvard University

Martha Gray, J. W. Kieckhefer Prof. of Health Sciences & Technology, MIT

Roger Tung, Scientific Founder, President, and CEO, Concert Pharmaceuticals

Natasha Hussain, Scientific Dir., Johns Hopkins Kavli Neuroscience Discovery Institute

Feilim Mac Gabhann, Assoc. Prof. of Biomedical Engineering, JHU

.10:30–10:45 Coffee break
10:45–12:00 Impact Session I (continued)
12:00–1:00 Lunch
1:00–2:45 Impact Session II
2:45–3:00 Break
3:00–4:00 Impact Session II (continued)
4:00–4:15 Break
4:15–5:15 “How to Get a Job” – Polina Golland, Prof. of Electrical Engineering and Computer Science, MIT
5:15–5:45 Senior Career Panel

Raimond L. Winslow, Raj and Neera Singh Prof. of Biomedical Engineering, JHU

Marion J. Ball, Sr. Advisor, Healthcare Informatics, Center for Computational Health, IBM

Martha Gray, J. W. Kieckhefer Prof. of Health Sciences and Technology, MIT

Kathleen Cullen, Prof. of Biomedical Engineering, JHU

Michael I. Miller, Prof. and Director, Dept. of Biomedical Engineering

5:45–6:30 Break
6:30–9:00 Dinner at Lebanese Taverna

 

November 16

8:00–9:00 am Full Breakfast w/MIT & JHU BME Faculty
9:00–10:30 Session I: Effective Self-preservation                               

Yuval Hart, PhD

Julie Huang, PhD

HFP Consulting

10:30–10:45 Break
10:45–12:30 Session II: Mastering Interviewing

Yuval Hart, PhD

Julie Huang, PhD

HFP Consulting

12:30–2:00 Lunch
2:00–2:45 Junior Career Panel

Jamie Spangler, Asst. Prof. of Biomedical Engineering, JHU

Nicholas Durr, Asst. Prof. of Biomedical Engineering, JHU

Muyinatu Bell, Asst. Prof. of Electrical and Computer Engineering, JHU

Archana Venkataraman, John C. Malone Asst. Prof. of Electrical and Computer Engineering, JHU

Joshua Vogelstein, Asst. Prof. of Biomedical engineering, JHU

Heather Benz, Medical Device Fellow, Center for Devices and Radiological Heath, FDA

Natasha Hussain, Scientific Director, Kavli Neuroscience Discovery Institute, JHU

2:45–3:00 Break
3:00–4:00 Closing Social

Archana Venkataraman, John C. Malone Asst. Prof. of Electrical and Computer Engineering, JHU

 

 

Computational Medicine MSE Program Online Information Session
Nov 15 @ 3:00 pm – 4:00 pm

The Johns Hopkins University Institute for Computational Medicine is seeking highly qualified applicants for its full-time master’s degree programs.

Please join us to learn more! Register here.

At this event, you will:

  • Learn about the Computational Medicine focus area within the Biomedical Engineering Master of Science in Engineering
  • Gain insight into our program and admission requirements.
  • Hear about faculty research related to computational anatomy, computational molecular medicine, computational physiological medicine, and computational healthcare.
  • Hear from students and gain insight into what life is like as a Johns Hopkins engineering student.
  • Have your questions answered by Computational Medicine faculty and students.

As valued members of the Institute for Computational Medicine, our graduate students work alongside our world-renowned faculty members who are performing cross-disciplinary research and developing solutions that address the critical challenges pertaining to the diagnosis and treatment of human disease through applications of mathematics, engineering and computational science.

Dec
4
Tue
2018
Ra’id Awadallah, JHU Applied Physics Laboratory, “Sub-Wavelength Microwave Focusing for Neural Ablation”
Dec 4 @ 11:00 am – 12:00 pm

Jump to:

Bio

“Sub-Wavelength Microwave Focusing for Neural Ablation”

Dr. Ra’id Awadallah received his Ph.D. in Electrical Engineering from Virginia Tech in 1998. He joined JHU/APL in the same year where he is currently a section supervisor, project manager and a member of the principal professional staff.  Over the last 20 years, he has led a team of researchers developing efficient numerical models for tropospheric propagation, electromagnetic scattering from randomly rough surfaces, radar cross-section of complex targets, pulsed propagation in complex urban structures, and modeling and simulation of thin-film metamaterials. He has authored over 20 papers in these areas. Dr Awadallah is a member of the IEEE and Commission F of URSI.

 

Click here to view webcast.

Abstract

“Sub-Wavelength Microwave Focusing for Neural Ablation”

Timothy Sleasman, Andrew Strikwerda, and Ra’id Awadallah
The Johns Hopkins University Applied Physics Laboratory

Whatever we’re looking at, be it streaming video at home or medical imaging in the office, we always want the highest resolution possible. Traditional imaging techniques that use lenses, like telescopes and cameras, are “far-field” imaging systems. The resolution of far-field electromagnetic imaging systems, which utilize the radiative portion of the sources’ fields, is ultimately constrained by the diffraction limit.  This limit is attributed to the fact that the imaging aperture only captures portions of the radiative spatial spectrum of the source field and ignores the evanescent (non-radiative) portion of the spectrum.  Due to this fact, sub-wavelength imaging resolution is only achievable if the near-field portion of the source field spectrum can be utilized. One promising pathway to access the near-fields is to place the imaging system at near field distances, but even then designing the imaging system has several practical challenges.

In this talk, initial designs for achieving deeply sub-wavelength focusing of a microwave beam will be discussed.  The first design is based on near-field plates (NFPs), which are non-periodically patterned surfaces capable of forming beams with sub-wavelength focus in the near-field.  The spatially-varying impedance distribution of the NFP needed to focus the microwave beam is derived by formulating and numerically solving an integral equation.  The second design which is based on linearly and circularly-corrugated near-field plates will be presented next.  The near-field interaction of the waveguide field with the properly-designed groove impedance distribution results in the desired focusing of the microwave energy.  This architecture can ultimately be used to form prescribed field patterns inside inhomogeneous media, providing applications in neural ablation and biomedical imaging.

 

Click here to view webcast.

Feb
5
Tue
2019
Gregory Quiroz, JHU Applied Physics Laboratory, “Quantum Computation”
Feb 5 @ 11:00 am – 12:00 pm

Jump to:

Bio

“Quantum Computation: An Outlook on Potential Near-Term Applications in the Field of Computational Medicine”

Dr. Gregory Quiroz is a senior scientist at the Johns Hopkins University Applied Physics Laboratory. He is currently interested in quantum control protocols to improve the performance of quantum systems for quantum computation and sensing applications, and the development of quantum algorithms for near-term quantum computing devices. Previously, Dr. Quiroz was a scientist at the Aerospace Corporation, where he aided the Air Force Space and Missile Center in the assessment of quantum cryptography techniques, namely, quantum key distribution, for establishing secure space-to-ground communications. In addition, he worked to develop quantum algorithms for National Security Space applications.

Click here to view webcast.

Abstract

“Quantum Computation: An Outlook on Potential Near-Term Applications in the Field of Computational Medicine”

Quantum computing (QC) promises computational advantages over classical alternatives for particular computational problems by exploiting quantum mechanical phenomena. In recent years, QC has become a highly attractive area for research in the academic, commercial, and government sectors, with notable investments from IBM, Google, and a number of government agencies. This push for QC has led to the realization of noisy, intermediate-scale quantum (NISQ) devices consisting of 10s of quantum bits, or qubits. Current NISQ-era devices do not possess the number of qubits, nor the qubit error rates required to reliably implement well-known QC algorithms, such as Shor’s factoring algorithm, and therefore, one of the central questions of has become: what are the potential applications for current and future NISQ hardware that could realize computational gain? Here, I provide a conceptual overview of QC and discuss recent experimental milestones obtained by researchers in the academic and commercial sectors. Lastly, I will discuss potential applications of near-term QC to the field of neuroscience.

Click here to view webcast.

JHU - Institute for Computational Medicine