Research Statement

Hey! Faraz Faruqi here.

I am a first year Computer Science Ph.D. student at MIT, where I am working with Prof. Stefanie Mueller at CSAIL. My research interests lie at the intersection of digital fabrication and machine learning for HCI. The fundamental aim of my research is to design sociable, intelligent and interactive technologies that amplify human ability to realize imagination, motivate self-reliance and enhance creative expression.

Prior to MIT, I have worked with pioneering research labs at CMU, Pittsburgh and IIIT Hyderabad. As an undergraduate research student, I collaborated with graduate and post-graduate researchers in finding solutions to problems ranging from creating virtual collaborative agents to elicit curiosity for science in young children, to creating deep learning systems for classifying and generating humorous texts.

Research Experience

HCIE Group, CSAIL, MIT

July 2020 - Present
Graduate Research Assistant Prof. Stefanie Mueller

SMD Lab, University College London

Jan 2020 - July 2020
Visiting Research Student Prof. Sriram Subramanian

HCIE Group, CSAIL, MIT

Jan 2019 - Dec 2019
Visiting Research Student Prof. Stefanie Mueller

Human-Computer Interaction Institute, CMU

June - August 2018
Undergraduate Research Assistant Prof. Justine Cassell

Publications

  • G-ID: Identifying 3D Prints Using Slicing Parameters
  • Dogan M.D., Faruqi F., Churchill A. D., Friedman K., Cheng L., Subramanian S., Mueller S.
    2020 ACM CHI Conference on Human Factors in Computing Systems
  • Microscopic Uterine Cervix Cell Classification for Malignancy Detection
  • Shanthi P.B., Faruqi F., Hareesha K.S., Kudva R.
    Asian Pacific Journal of Cancer Prevention
  • Is This a Joke?: A Large Humor Classification Dataset
  • Faruqi.F, Shrivastava M.
    International Conference on Natural Language Processing 2018

    Presentations

    MIT-IBM Watson AI Lab Workshop

    May, 2019
    Poster Presentation Cambridge, MA
    • DeepFab: Learning to Predict Optimal Slicing Parameters for Additive Manufacturing
    • IntelliMaterial: Learning to Predict Optimal Slicing Parameters for New Materials in Additive Manufacturing

    Collective Intelligence Workshop at MIT Quest for Intelligence

    September, 2019
    Poster Presentation Cambridge, MA
    • IntelliSlice: Reusing and Sharing slicing results

    Technical Skills

    Programming Languages


    • Adept in C, Java, Python and Javascript
    • Working Knowledge of C#, C++, QML

    Database


    • SQL Server, Oracle Express

    Sofware, IDE


    • MATLAB, Eclipse, Android Studio, Visual Studio, Cura, Adobe Suite, Processing

    Relevant Coursework

    Data Structures & Algorithms, Object Oriented Programming, Artificial Intelligence, Machine Learning, Graph Theory, Automata Theory, Database Systems, Microprocessors, Sofware Engineering, Software Engineering, Computer Networks

    Leadership/ Extra-Curricular Activities

    • Campus Ambassador for Google Applied CS with Android course facilitated by Google.
    • Organized Awareness Campaigns, Door to Door visits and cleanliness campaigns as part of Swachh Bharat Abhiyaan which recently received Gates Foundation Award.
    • Computer Science Instructor for Helpage Youth Foundation.
    • Former Core Committee member of ACM Chapter Manipal.
    • Recieved Bronze medal at ASISC State level swimming competition.
    • Published Essays in Weekly Newspapers and School Yearbooks.