Research

Digital Education Lab, Virginia Tech
- Graduate Research Assistant (Aug 2018 - Present)
  - I am working with Dr. Clifford A. Shaffer (Prof. at Virginia Tech) on creating an educational tool in the form of an intervention that will suggest students better approaches of solving projects based on their coding/debugging behavior.
  - Additionally, I am analysing students’ usage behavior to distinguish good debugging practice from bad.

Crowd Intelligence Lab, CHCI, Virginia Tech
- Graduate Student Researcher (Aug 2017 – May 2018)
  - I designed and developed new features & modifications for the GroundTruth system - the system for geo-locating images in real-time using expert's knowledge (aerial diagram) and crowd contribution (narrowing search space). Additionally, I designed experiment studies and system architecture with Dr. Kurt Luther (Asst. Prof. at Virginia Tech).

Protibadi: A platform for fighting sexual harassment in urban Bangladesh
- As an undergraduate student, I worked in the research project Protibadi - where I explored the deep and damaging implications for gender security, justice, and rights of public participation in urban Bangladesh. For one year, I helped conducting interviews and surveys. The following year, I developed a web and mobile phone based application which could report, map, and share women's experiences about sexual harassment in public places. Furthermore, I conducted user studies, monitored public responses, and analysed the gauge reaction, strengths, and limits of the system. The research was accepted in the ACM CHI Conference on Human Factors in Computing Systems (CHI 2014), Toronto, Canada.

User identification through usage analysis of electronic devices
- Although password and pattern protection in the electronic devices are very common, there are researches suggest that these can be bypassed by an intruder. As an alternative identification technique, I analysed the owner's usage pattern. I developed an mobile application that would train itself with the usage pattern of the owner. The system will then identify any intrusion based on the usage behavior. The research was accepted as a short paper in the Networking Systems and Security (NSysS) Conference, 2015.

A User Experience Based System for Traffic Jam Prediction Using Google Map
- In the urban Bangladesh, traffic jam is one of the major problems. I developed a web and mobile based system that would use crowdsourcing to predict traffic jam in different city routes. The research was accepted in the Mobile Computing and Human Computer Interaction (MoHCI) Conference, 2014.