Open Projects

There are typically a number of open undergraduate and masters projects. If you are interested in any of these projects please fill out our online application form  (link coming).  Emails directly to Professor Hager will not be read.

Project Name: Characterizing and improving children’s block-building skills

Position: Undergraduate Research Assistant
Duration: Summer 2017
Location: Homewood Campus
Contact: Cathryn Cortesa ( and Anand Malpani (
Description: This is an inter-disciplinary collaboration between the labs of Dr. Gregory Hager (Computer Science), Dr. Barbara Landau (Cognitive Science), and Dr. Amy Shelton (School of Education). The project examines how children’s spatial cognition can be assessed by a block building task, and utilizes computer vision as well as IMUs embedded in the blocks to track how the children build. The candidate for this position would be responsible for creating a virtual reality block building environment to replicate the physical block building task, as well as assisting with other aspects of the project including data collection and data coding.
Skills: The ideal candidate would be pursuing a degree in Computer Science or related field, and have experience with game design and/or other simulation and/or animation software, as well as an interest in working with children. Skills required: computer graphics library (OpenGL) and its derivatives (e.g., Gazebo, H3D), Python/C++.
Apply: Send by April 7th, a brief letter of interest and your resume to the above contact.

Project Name: Crowdsourcing platforms for surgical data annotations
Mentor: Anand Malpani (
Description: Our group has worked on surgical activity and skill analysis for the past 10 years and are now interested in applying crowd sourcing surgical data. In this project, we are exploring the combination of crowdsourcing and surgical data science tools to provide context-relevant information to the surgeon (resident) in a timely manner. Creating a platform to do so is of significance in patient safety and delivering higher quality of health care. The candidate for this project would be responsible in developing interactive web forms – front and back end to collect contextual information about surgical performance videos. They should have a good aptitude towards development of concise and efficient user interfaces.
Specific Goal: To support the development of crowdsourcing tools including web development, database management and Amazon’s Mechanical Turk platform.
Skills: Intermediate (HTML+CSS+JS), Beginner (PHP, MySQL, Python)
Outcomes: Authorship in scientific publications, another skill (Mechanical Turk) on your resume, possible credits for Independent Research Study
Apply: Send an email to the above contact address with a brief description of your interest and your current resume outlining your skills and past experience.

Project Name: Language of Surgery
Mentor: Swaroop Vedula ( and Narges Ahmidi (
Description: We are looking for someone to assist with data collection and associated research in a cutting-edge research study with potential for substantial impact on aspects of graduate surgical education in otolaryngology. The ideal candidate will either have experience in a clinical setting (as a student or trainee) or an interest in clinical work, superior social and communication skills, discipline, and time management ability.

The candidate will attend surgeries at different operating rooms affiliated with Hopkins, coordinate sterilization of operating equipment with nursing staff, setup data recording equipment and capture data following previously established procedures, all the while respecting the sterile environment in the operating room.

Data collection is expected to start in September (2015). On average, this will be a part-time effort with data collection scheduled for multiple days in some weeks and not at all in others.

Candidates interested in participating in research related to the analysis of the collected data are especially encouraged to apply.

Interested candidates should send a resume to: or

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