M. Doga Dogan

MIT

I am a first-year graduate student in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). I am working with Prof. Stefanie Mueller as part of the Computer Science and Artificial Intelligence Laboratory (CSAIL). My research interests lie at the intersection of human-computer interaction (HCI) and personal fabrication tools, such as 3D printers. My past research has focused on medical and agricultural robotics.

Email: doga [at] {mit.edu, csail.mit.edu, acm.org, ieee.org}

Research & Teaching Experience

MIT

Graduate Research Assistant, Massachusetts Institute of Technology (MIT)
Computer Science and Artificial Intelligence Lab (CSAIL)
Human-Computer Interaction (HCI) Engineering Group
Advisor: Stefanie Mueller (Cambridge, MA)

MIT

Visiting Researcher, Massachusetts Institute of Technology (MIT)
Computer Science and Artificial Intelligence Lab (CSAIL)
Human-Computer Interaction (HCI) Engineering Group
Advisor: Stefanie Mueller (Cambridge, MA)

MPI

Research Assistant, Max Planck Institute for Intelligent Systems
Physical Intelligence Department
Medical Millirobots Group
Advisor: Metin Sitti (Stuttgart, Germany)

UCLA

Undergraduate Researcher, UCLA
Electrical and Computer Engineering
Laboratory for Embedded Machines and Ubiquitous Robots
Advisor: Ankur Mehta (Los Angeles, CA)

Bogazici

Undergraduate Researcher, Bogazici University
Haptics & Robotics Lab
Advisor: Evren Samur (Istanbul, Turkey)

Undergraduate Teaching Assistant, Bogazici University
EE142 Introduction to Digital Systems
Fall 2016 & Fall 2017 (Istanbul, Turkey)

Publication

Magnetically Actuated Soft Capsule Endoscope for Fine-Needle Aspiration

D. Son, M. D. Dogan, M. Sitti
2017 IEEE International Conference on Robotics and Automation (ICRA)
Max Planck Institute for Intelligent Systems
Best Medical Robotics Paper Award Nomination

This paper presents a magnetically actuated soft capsule endoscope for fine-needle aspiration biopsy (B-MASCE) in the upper gastrointestinal tract. A thin and hollow needle is attached to the capsule, which can penetrate deeply into tissues to obtain subsurface biopsy sample. The design utilizes a soft elastomer body as a compliant mechanism to guide the needle. An internal permanent magnet provides a means for both actuation and tracking. The capsule is designed to roll towards its target and then deploy the biopsy needle in a precise location selected as the target area. B-MASCE is controlled by multiple custom-designed electromagnets while its position and orientation are tracked by a magnetic sensor array. In in vitro trials, B-MASCE demonstrated rolling locomotion and biopsy of a swine tissue model positioned inside an anatomical human stomach model. It was confirmed after the experiment that a tissue sample was retained.

Full paper on IEEE Xplore.
Featured on Engadget Engadget and IEEE SpectrumIEEE Spectrum.

Education

Bogazici

B.Sc. in Electrical & Electronics Engineering
Bogazici University
Past Chairman of the IEEE Student Branch (2015-2016)
Istanbul, Turkey

UCLA

Exchange Student, Electrical and Computer Engineering
University of California, Los Angeles (UCLA)
Los Angeles, CA

Conferences Attended

Contact

Email: doga [at] csail.mit.edu, doga [at] ieee.org
LinkedIn: /in/dogadogan
Twitter: @mdogadogan

Here are a few pictures that highlight some of my favorite moments.

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MIT CSAIL - HCI Engineering Group: Stefanie Mueller, Parinya Punpongsanon, Paul Worgan and Xin Wen (Cambridge, MA, 2017)
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2018 Mustafa Doga Dogan