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Hello There

I am Abhijit Suresh.
A Buddhist Buff.
Machine learning | NLP | Neuroscience

About

More About Me

I am a 3rd year PhD student in Computer science, Neuroscience and Cognitive science at the University of Colorado,Boulder. My research interests are applied machine learning, deep learning, natural language processing and cognitive neuroscience.

Hello!

At present, I'm working on three different research problems involving cognitive neuroscience, neuroimaging and natural language processing respectively.

What happens in your brain when you are meditating or listening to music?. I'm using functional neuroimaging to understand mental functions (such as visual processing) that underlie any specific task.

As a teacher, do you use effective discourse strategies to ensure student engagement and rich classroom discussions?. I'm working on a deep learning model to automatically provide feedback on a teacher's effective use of classroom discourse.

Is mindfulness-based relapse prevention an effective treatment method for alcohol use disorder. I'm actively involved in analyzing the data to validate if the data reflect our hypothesis about mindfulness.

I've Got Some skills.

  • 90%
    Machine and deep learning (Geekasm)
  • 85%
    Data modelling and evaluation
  • 70%
    Distributed computing
  • 95%
    Software engineering
  • 75%
    Signal processing
  • 90%
    Programming -Python (Primary)

My Academic and Teaching Experience

Aug 2016 - Present

Triple PhD in Computer science, Neuroscience and Cognitive science

University of Colorado Boulder

Isolating cognitive functions from large scale brain changes (Prof. Mckell Carter, Prof. Michael Mozer)

Aug 2015 - May 2017

Master of Science in Computer Science

University of Colorado Boulder

GPA: 3.86

July 2010 - May 2014

Bachelor of technology in Computer Science

Amrita School of Engineering

Thesis: Predicting of fight and flight response using artificial neural networks (with Prof. N. Radhika)
GPA: 8.79/10.0

June 2018 - July 2018

Instructor

University of Colorado Boulder

CSCI 3308: Software development tools and methods

May 2017 - Aug 2017

Graduate teaching assistant

University of Colorado Boulder

CSCI 2270: Data structures

My Work experience

Aug 2018 - Present

Graduate Research assistant part time

CU Change Lab, University of Colorado Boulder

Data management and analysis of Mindfulness (AIM) study

Aug 2017 - Present

Graduate Research assistant

Sumner's lab, University of Colorado Boulder

Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse (Prof. Tamara Sumner)

May 2016 - Aug 2016

GSOC (Google Summer of Code) particpant

MIT Media lab

Implemented search block feature for MIT App Inventor

May 2016 - Aug 2016

Scientific Programmer

Health Data compass, University of Colorado Anschutz Medical Campus

Implemented Apache cTakes natural language processing pipeline on Google cloud platform for processing medical transcripts (Prof. Martha Palmer)

May 2016 - Aug 2016

Data scientist intern

Calibermind

Creating user personas for B2B sales and marketing

Sep 2015 - May 2016

Student programmer

Social Neuroscience and Games lab, University of Colorado Boulder

Multivariate data analysis of functional neuro-imaging data

May 2014 - Aug 2015

Software Engineer

Siemens PL

Contributed to the development of domain specific language for model based control systems

Before May 2014

Sofwtare Intern

LMS Siemens,Blackberry, Innoz and Aditi technoligies

Software development

Beyond Academics

All the fun stuff.

In the news!

Boulder Daily, Boulder

Candid picture. I was biking back home from research lab.

Backpacking

Missouri lake trail, Colorado

At 12000 feet looking for a good spot to pitch the tent

Camping

Rocky Mountains National Park, Colorado

Lush green, Fresh water from nearby creek and of course "Beware of Bear"

Snowmobiling

Frisco, Colorado

Vroom, Vroom in the snow!

Volunteering

Bolder Boulder

Gathering for a group photo after the event.

Gaming

DOTA 2 Team, CU Boulder

E-SPORTS.

Hiking

Manitou Incline, Colorado Springs

2000 feet elevation in one mile. Where is the elevator?

Diving (with life Jacket)

Blue Hole, New Mexico

FYI, I dont know swimming

Awards.

Author image

Second place in IEEE Brain data bank challenge. Helped build a VAE (Variational Auto-Encoder) to predict the performance of a participant from EEG data

IEEE brain Initaitive Dec, 2018
Author image

Distinguished speaker award for presenting my research on Talkback at the student colloquim

University of Colorado Boulder Fall 2018
Author image

New and Future AI Educator Award

AAAI 2019 (Advances in Artificial Intelligence) Feb ,2019

Publications

So far..

2019

Suresh, A., Sumner, T., Jacobs, J., Foland, B. & Ward, W. (accepted). Automating analysis and feedback to improve mathematics teachers’ classroom discourse. Paper submitted to the ninth symposium on Educational Advances in Artificial Intelligence (EAAI 2019).

2018

Suresh, Abhijit, et al. "Using deep learning to automatically detect talk moves in teachers' mathematics lessons." 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018.

2018

Nguyen, Phuc, et al. "Tyth-typing on your teeth: Tongue-teeth localization for human-computer interface." Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services. ACM, 2018.

2017

TalkBack: Realtime NLP feedback promoting mathematics teachers’ use of high leverage talk moves - T Sumner, A Suresh, B Foland, J Jacobs, W Ward -http://nsfecrconvening.org/talkback-realtime-nlp-feedback-promoting-mathematics-teachers-use-of-high-leverage-talk-moves/

2016

Schneider, Nathan, et al. "A corpus of preposition supersenses." Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016). 2016.

2015

Suresh, Abhijit, K. V. Harish, and N. Radhika. "Particle swarm optimization over back propagation neural network for length of stay prediction." Procedia Computer Science 46 (2015): 268-275.

2014

Suresh, Abhijit, et al. "Prediction of fight or flight response using artificial neural networks." American Journal of Applied Sciences 11.6 (2014): 912-920.

2014

Kumar, T. Senthil, Abhijit Suresh, and Aadarsh Karumathil. "Improvised classification model for cloud based authentication using keystroke dynamics." Frontier and Innovation in Future Computing and Communications. Springer, Dordrecht, 2014. 885-893

51

Awards Received

1729

Cups of Coffee

28

Projects Completed

7

Research Articles

Contact

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Email

abhijit.suresh@colorado.edu
abhijit5893@gmail.com

Address

Boulder, CO
80305 US