Prateek Panwar

Graduate Student

I have completed my bachelor’s degree in Computer Science and Engineering (CSE) field from Visvesvaraya Technological University (VTU), Karnataka, India. From the beginning till end of my four years graduate course, I was involved in different projects and research work which boosted my interest to explore the vast field of technology. As a techno-savvy myself, I am always excited to try and learn state-of-art technologies which has given my research interest an infinite set of topics, out of which I am more inclined towards Human–Computer Interaction (HCI), BCI, Vision and Machine Learning. In addition to that, my interest also lies in the area of Web development and Parallel programming.

As a regular college student, I worked on various mini projects and developed an intranet social networking site as a major project which was successfully deployed in college campus. Moreover, during my college period, I also worked as a visiting researcher at Indian Institute of Technology, Kharagpur, India for two and a half years and developed different “Gaze-Based Text Entry” Systems. I have published papers in reputed libraries like ACM and IEEE and was awarded for one of them.

I am pursuing my fully funded Master’s from University of Ontario Institute of Technology, Canada.

Contact

Email:
prateek.panwar@uoit.ca
prateekpanwar31{at}gmail.com

Personal Website:
https://prateekpanwar31.wordpress.com/

Publications

• P. Panwar and C. Collins, “Detecting Negative Emotion for Mixed Initiative Visual Analytics,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), 2018. Late-breaking Work.
  [Bibtex] [PDF]

  @poster{pan2018a,
  author = {Prateek Panwar and Christopher Collins},
  title = {Detecting Negative Emotion for Mixed Initiative Visual Analytics},
  venue = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI)},
  year = 2018,
  note = {Late-breaking Work}
  }

• M. K. Sukhwani and P. Panwar, “Talking Hands: RNN-based Sign Language Recognition,” Graphics Interface (GI), 2016. Poster.
  [Bibtex] [PDF]

  @poster{pan2016b,
  author = {Mohak Kumar Sukhwani and Prateek Panwar},
  title = {Talking Hands: RNN-based Sign Language Recognition},
  venue = {Graphics Interface (GI)},
  year = 2016,
  note = {Poster}
  }

• M. K. Sukhwani and P. Panwar, “Talking Hands: RNN-based Sign Language Recognition,” Graphics Interface (GI), 2016. Paper.
  [Bibtex] [PDF]

  @poster{pan2016a,
  author = {Mohak Kumar Sukhwani and Prateek Panwar},
  title = {Talking Hands: RNN-based Sign Language Recognition},
  venue = {Graphics Interface (GI)},
  year = 2016,
  note = {Paper}
  }

Prateek Panwar, Sayan Sarcar and Debasis Samanta, “EyeBoard: A Fast and Accurate Eye Gaze-based Text Entry System”, In Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, Kharagpur, India, December 27 – 29, 2012: 1-8, (IEEE)

Sayan Sarcar and Prateek Panwar, “EyeK: An Efficient Dwell-Free Eye Gaze-Based Text Entry System”, In Proceedings of the 11th Asia Pacific on Computer Human Interaction, Bangalore, India, September 24 – 27, 2013, (ACM) (Best Poster)

Sayan Sarcar and Prateek Panwar. “Eyeboard++: An enhanced eye gaze-based text entry system in Hindi.” Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction, Bangalore, India, September 24 – 27, 2013, (ACM)