Trace: • projects

CIS Spring 2025 Projects

To CIS II Students: Project Ideas

Here is a list of the project ideas and each individual set of slides for 2025. These will be presented in class over the first few sessions of class.

Remember several points, however:

This list is not necessarily complete. More will be added.
You are ultimately responsible for finding and proposing a project.
You must get agreement from your mentors that your proposed project is one for which you are appropriate.
Your project does not have to be one of the ones in this suggested list.
- However, if it is not one of these, you should also get my agreement that it is appropriate for the course.
- Also, feel free to fill out a “potential project” template if you have a project idea but want to recruit additional students

To Potential CIS II Project Mentors: How to Propose a Project Idea

Our Advanced CIS II projects course has a large enrollment this year, and we are actively soliciting possible projects. As you may recall, CIS II is intended for graduate students and upper-level undergrads, in which students work in teams of 1-3 on semester-long projects broadly related to computer-integrated interventions, AI in medicine, medical image analysis, or related topics. In addition to material covered in lectures/seminars by the instructor and other faculty, students are expected to read and provide critical analysis/presentations of selected papers in recitation sessions. Students taking this course are required to undertake and report on a significant term project. Project mentors may include faculty, engineering staff, postdocs, and (with appropriate approvals) advanced graduate students. Students taking the course sign a non-disclosure agreement at the start of the semester, in order to enable free discussion without compromising patentability. We also keep project web pages restricted for at least a year, or until the mentor(s) agree that they can be made public.

Generally, students select projects in the first 2-3 weeks of class, although some come with an idea beforehand. In order to suggest a project, you can fill out this template (typically about 2-3 slides) and send it to me (rht@jhu.edu) and to the TA (jbarrag3@jh.edu), along with an indication if you would like to present the idea yourself or if you would like us to present it for you. If the file is too big to email, then feel free to send a link.

The CIS II schedule page shows when project ideas are scheduled for presentation to the class. You can contact the TAs if you want to present a project idea (in person or via zoom). Or we can present it for you.

Links to previous years' projects may be found on the CIS II main page.

A note to Project Mentors

First, thank you for mentoring a CIS II project this year. This course provides a great educational experience for the students, and also can produce useful research results. Its success depends greatly on the project mentors, and I hope that your experience this year has been productive both for you and for the students.

As part of our grading process, we are encouraging project mentors to provide some input. You all should have been granted access to the course web site and to the individual project(s) that you are mentoring.

We would really appreciate it if you can answer a few questions. Either edit the linked form and email it to me (rht@jhu.edu) and the lead TA (Jasmine Cho - scho72@jhu.edu), with a file name like “Project xxx mentors report.docx” or just sent an email with a similar subject line.

Finally, note that the annual final exam / poster session will be on the assigned final exam day on Zoom (https://wse.zoom.us/j/635091574). I very much hope that you can attend. Also, the project reports are due on the day of the poster session, but the students have been told that you need an opportunity to review the reports before then. Also, we will need your comments to us by 9 PM on the day of the poster session, since we will be using them to help us with our evaluation of the projects.

Instructions to 456/496/656 Students

The links below point to the Wiki pages for your projects. You should follow the link. This will bring you to a project home page that you can edit once you log in. The two little gear symbols on the upper right give access to functions like login, logout, edit page, etc. The login/logout is on the leftmost gear. Note that there are many styles of Wiki, with different syntax. This one is “dokuwiki”. There is a link to help pages from the edit page.

The current default access settings are “read” for the CiiS lab, no access to members of the general public, and full power to members of your group. If you want to restrict read access to smaller group (e.g., all 456 students, etc.) contact Prof. Taylor. Prof. Taylor can also implement access control for individual pages if you so desire. If you want the whole world to be able to read your project pages, that can be arranged. Do not post anything to unprotected pages that you want kept private until you have arranged with Prof. Taylor to protect them.

Also, verify that each member of your group can log in. If you have trouble, contact Prof. Taylor via email providing correct name and JHED id.

Finally, if you want to give other individuals (e.g., your mentors) access to your project pages, provide name and JHED id to Prof. Taylor

NOTE: At the end of the semester, all projects will be made readable to the general public, unless you make arrangements otherwise with Prof. Taylor

Resources

Google Cloud Credits: Some projects (especially those involving machine learning) many require significant computing resources. We have obtained a small Google Cloud Platform Education Grant to help support these projects. See the TA if you need a coupon.
Sample background reading presentation from 2022
Sample background reading report from 2022
Poster template final exam 2025
Best project selection form - poster session 2025: Follow this link to vote for the best project during the poster session.

Nondisclosure agreement for in-class discussion

As we discussed in class, some of the projects may contain potentially patentable material or other material that should not be disclosed publicly until a later time. In order to permit free in-class discussion of this material, we have developed a non-disclosure agreement. When asked, the entire class agreed to sign such an agreement, a copy of which is linked below.

Nondisclosure agreement (NDA) to facilitate in-class discussions (2025 - Online form)
- Here is a PDF version of the NDA for your reference.
If any member of the class has any reservations about this, please inform us immediately.
Also, class members are reminded to identify potentially confidential material on any slides or other presentation material used in class

Project signup sheet

Here is the link to the signup sheet . A couple of things to note:

If you are interested in any projects, the first thing to do is to contact the mentors. Once and only after you get approved by the mentors, sign yourself up in the signup sheet.
A project number will then be assigned to you and your project page will be created.
If your name has been highlighted, it means your project has been created on the wiki page and you can start to edit it.

01: Control of Eye Snake Robot Using Data Driven Models

Team Members: Yiyao Yue, Gary (Pengyuan) Du
Mentors: Mojtaba Esfandiari, Iulian Iordachita
Project Pages: Control of Eye Snake Robot Using Data Driven Models

02: Optimization Based Teleoperated Control of Eye Robots

Team Members: Yub Heo, Teng Long
Mentors: Adnan Munawar, Iulian Iordachita, Peter Kazanzides, Haochen Wei, Mojtaba Esfandiari
Project Pages: Optimization Based Teleoperated Control of Eye Robots

03: Robotic Assistant for MRI-Guided Low Back Pain Injection

Team Members: Sai Pranav Avva, Tyler Lehrfeld, Diana Shaughnessy
Mentors:Iulian Iordachita, Aabhas Jain
Project Pages: Robotic Assistant for MRI-Guided Low Back Pain Injection

04: Autonomous Puncture Detection in Retinal Vein Cannulation Using Deep Learning Algorithms

Team Members: Hanbei Zhou, Bella Xia
Mentors: Mojtaba Esfandiari, Iulian Iordachita
Project Pages: Autonomous Puncture Detection in Retinal Vein Cannulation Using Deep Learning Algorithms

05: Intelligent Motion Scaling for Teleoperated Robotic Surgery

Team Members: Kaichen Yu, Xiaojian(Jason) Sun
Mentors: Adnan Munawar, Peter Kazanzides
Project Pages: Intelligent Motion Scaling for Teleoperated Robotic Surgery

06: 3D Real-time FBG-based Stylet Shape Sensing

Team Members: Yujie Zhang, Siddhi Date, Kayleigh Huk
Mentors: Iulian Iordachita
Project Pages: 3D Real-time FBG-based Stylet Shape Sensing

07: Deformation Suturing Simulation in AMBF

Team Members: Shalika Subramanian, Veronica Kidwell
Mentors: Adnan Munawar, Peter Kazanzides
Project Pages: Deformation Suturing Simulation in AMBF

08: Multilateral Teleoperation based Haptic Training System for the dVRK

Team Members: Pucheng Shao, Nan Jiang, Xiangyi Le
Mentors: Peter Kazanzides, Ugur Tumerdem, Brendan Burkhart
Project Pages: Multilateral Teleoperation based Haptic Training System for the dVRK

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