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Bio

I’m Karan Taneja, a second-year Computer Science Ph.D. student at Georgia Institute of Technology. My advisor is Prof. Ashok Goel, director of Design & Intelligence Lab and AI-ALOE Institute. I’m interested in creating AI tools for education using Natural Language Processing and Knowledge-based Intelligent systems.

I graduated from Indian Institute of Technology Bombay in July 2020 with Bachelor and Master in Electrical Engineering. My specialization was Signal Processing and Communication and I also did a minor in Computer Science and Engineering.

Updates

• June 2022: We will be presenting our work on Human-AI Interaction Design in Machine Teaching (arXiv:2206.05182) at the Communication in Human-AI Interaction Workshop, IJCAI 2022 in Vienna.
• May 2022: Started summer internship at IBM in New York, US. Excited to be working with the computational creativity group on food recipe generation.
• April 2022:
  • Passed my PhD qualifying exam. Big thanks to my advisor Prof. Ashok Goel, and committee members Prof. Spencer Rugaber, Prof. Alan Ritter and Prof. Diyi Yang.
  • Released our recent work as a pre-print on arXiv: A Framework for Interactive Knowledge-Aided Machine Teaching.
• January 2021: Joined Georgia Tech for PhD in Computer Science.
• October 2020: Paper titled A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI accepted at International Conference on Pattern Recognition (ICPR) 2020 [Preprint].
• August 2020:
  • Graduated from IIT Bombay with B.Tech. and M.Tech. in Electrical Engineering and minor in Computer Science and Engineering.
  • Awarded with Undergraduate Research Award (URA03) for research work in dual degree (masters) project.
  • Deferred Georgia Tech (Computer Science Ph.D.) offer to Spring’21 because of COVID-19 pandemic.
• July 2020: Paper titled Improving Low Resource Code-switched ASR using Augmented Code-switched TTS accepted at Interspeech’20. [Preprint]
• June 2020: Master’s final presentation on ‘A Bayesian CNN Framework for Reconstruction of k-t Undersampled Resting-fMRI’.

Contact

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