Kritika Prakash

I am an MS by Research student at Machine Learning Lab, IIIT Hyderabad, where I work on Game Theory, Privacy and Machine Learning. I recently completed my B.Tech with Honours in Computer Science and Engineering from IIIT Hyderabad. In my free time, I enjoy painting.

I am pursuing my Master's under the guidance of Prof. Praveen Paruchuri and Prof. Sujit Gujar. I make use of Reinforcement Learning and Game Theory to develop trading algorithms for energy markets. I also work on creating optimally differentially private versions of Machine Learning algorithms.

Email  /  Resume  /  Short Resume  /  Biography  /  GitHub  /  LinkedIn  /  Google Scholar  /  ResearchGate

Here are the links to my art work on Instagram, my technical blog on Medium and my music on YouTube.


Research Assistant, Machine Learning Lab, IIIT Hyderabad (2017 - present)
Working on various research projects in the fields of Reinforcement Learning, Game Theory and Differential Privacy with Prof. Praveen Paruchuri (advisor), Prof. Sujit Gujar (co-advisor) and Prof. Naresh Manwani.


Mentor, OpenMined (present)
Mentor and contributor in the open-source privacy preserving ML library - PySyft as a part of OpenMined.


Research Intern, TCS Research & Innovation Labs, Hyderabad (May - July, 2019)
Developed algorithms for making an autonomous smart broker agent for power trading in smart grids using Java.


Machine Learning Intern, Microsoft, Bangalore (May - July, 2016)
Created a Probabilistic Resume Classification and Visualization Model for Candidate Selection using R and Azure.


Teaching Assistant, IIIT Hyderabad (2017 - present)
Worked as a Teaching Assistant at for the courses listed below. The duties involved taking regular tutorials, conducting tournaments, paper corrections, creating assignments and conducting project evaluations.

1. Database Systems under Prof. Kamalakar Karlapalem (Monsoon 2017).
2. Artificial Intelligence under Prof. Praveen Paruchuri (Spring 2018).
3. Machine Learning under Prof. C V Jawahar and Prof. Anoop Namboodiri (Monsoon 2018).
4. Distributing Trust & Blockchain under Prof. Sujit Gujar (Monsoon 2019).


Data Analytics and Security Intern, Authbase, T-Hub, Hyderabad (Monsoon 2016)
Worked on tracking user behaviour and detecting vulnerabilities to whitelist expected user behaviour.


Research Intern, IIITD&M Kancheepuram (Spring 2016)
Worked on finding Hamiltonian Paths in Claw-Free Bipartite Graphs, under Prof. N Sadagopan.


Tutor, Aham Learning Hub, Hyderabad (2017)
Taught physics & mathematics to students of classes 10th to 12th for International board curriculum (IGCSE & IB).


I am interested in Machine Learning, Reinforcement Learning, Differential Privacy, Game Theory and Multi Agent Systems. I have solved problems in the domains Multi Agent Reinforcement Learning, Automated Negotiation, Periodic Double Auctions for Energy Trading and Privacy Preserving Machine Learning.

I have a keen interest in Computer Vision, Graph Theory and Blockchains. You can find a detailed list of all my research and course projects HERE. The following are some of my research projects:


[Publication] VidyutVanika: An Autonomous Broker Agent for Smart Grid Environment
Susobhan Ghosh, Kritika Prakash, Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar and Praveen Paruchuri - IIIT Hyderabad & TCS Research & Innovation Labs
Policy, Awareness, Sustainability and Systems (PASS) Workshop 2019, Cologne, Germany
Built algorithms for an autonomous smart broker agent for power trading in smart grids in a simulated environment, given consumer and wholesale markets, customers and power generating companies. The agent took part in the international Power Trading Agent Competition (PowerTAC) in 2018 & 2019, and will be taking part in 2020.


Privacy Preserving Machine Learning (Ongoing)
Guides: Prof. Sujit Gujar and Prof. Naresh Manwani

Creating Differentially Private mechanisms to tackle the problem of lack of privacy of data sources in Machine Learning algorithms, with focus on Principle Component Analysis (PCA) and Spectral Clustering.

Find my survey paper on Privacy Preserving Machine Learning HERE (in progress).


[Pre-print] PredictRV : A Prediction Based Strategy for Negotiations with Dynamically Changing RV
Aditya Srinivas, Kritika Prakash, Prof. Praveen Paruchuri

Created the recurrent neural networks (LSTM) based Reservation Value prediction approach for time series forecasting in an automated negotiation, along with multiple methods and metrics of evaluation. Extended the work to the case of multi-party negotiations.


Multi Agent Reinforcement Learning for Cooperation
Guide: Prof. Praveen Paruchuri

Developed scalable algorithms and strategies for cooperation in multi-agent systems using the principles of reinforcement learning.


NTSE (National Talent Search) Scholar, 2010
Secured a national rank of 23 out of 1,000,000 participants. Find my "Times of India" newspaper interview HERE . NTSE tests for mental and scholastic aptitude in math, sciences and social sciences.

Dean's Distinction List Awardee for Academic Excellence (five times), 2017 - 2019
Academic performance in the top 5% of my batch thrice - Spring 2017, Monsoon 2017, Spring 2018, Monsoon 2018 and Spring 2019. Obtained the Dean's Distinction List award for the same.

Flipkart Grid ML Quiz Winner, 2018
Ranked third in the National Flipkart Machine Learning Quiz Challenge out of 19,000 participants from top Indian universities.

CBSE Merit Scholar for Secondary School, 2011
Titled CBSE Merit Scholar for AISSE secondary school exam for obtaining a 10/10 GPA.

Best Sportsperson, Table Tennis Women, IIIT Hyderabad, 2018
Awarded for best overall performance in inter-batch table tennis competitions.

Sudoku Champion
Won multiple inter-school and city level sudoku championships.


Leader: Lean In Chapter, IIIT Hyderabad (2018 - Present)
Mentoring and empowering women techmakers to reach their highest potential, with focus on leadership, open source, academia, industry and entrepreneurship.


Poster Presentation: R&D Showcase 2019, IIIT Hyderabad
Presented my poster: VidyutVanika: An RL and Game Theory based Broker for Power Trading as a part of the Machine Learning Lab (MLL) at the 2019 R&D Showcase.


Organizer: Summer School on Privacy & Security in Online Social Networks 2017, Precog @ IIIT Delhi
Organized the summer school on Privacy & Security in Online Social Networks 2017 at IIIT Hyderabad, along with Prof. Ponnurangam Kumaraguru and Precog research group, IIIT Delhi.


Core: Literary Club, IIITD&M, Kancheepuram (2015-2016)
Organised literary events and workshops as a part of the Culturals Committee at IIITD&M Kancheepuram.

Class Representative: IIITD&M, Kancheepuram (2014-2016)
Represented the CS department for my batch concerning all academic matters, such as discussions with faculty and administration, at IIITD&M Kancheepuram.


ACM Summer School on Cybersecurity and Data Analytics, IIIT Delhi, 2019
Attended the 10 day long summer school on cybersecurity, privacy and data analytics at IIIT Delhi.

Research & Development Showcase, IIIT Hyderabad, 2019
Attended the 2019 R&D showcase and presented my poster: VidyutVanika: An RL and Game Theory based Broker for Power Trading as a part of the Machine Learning Lab.

Summer School on Research in Computer Science, IISc Bangalore, 2018
Attended the Department of Computer Science & Automation's (CSA) summer school on research in computer science at Indian Institute of Science (IISc).

Workshop on Human-Computer Interaction, Industrial Design Centre (IDC), IIT Bombay, 2016
Attended the Industrial Design Centre's (IDC) workshop on Human-Computer Interaction (HCI) by IIT Bombay.

Workshop on Augmented Reality & Multi-Touch Technology by SenseFil Microsoft, 2016
Attended Microsoft's workshop on augmented reality and multi-touch using Kinect 360 at IIITD&M, Kancheepuram.


International Institute of Information Technology, Hyderabad
B.Tech (Honors) + MS by Research in Computer Science & Engineering (2016-2020). CGPA: 8.92/10.

Indian Institute of Information Technology Design & Manufacturing, Kancheepuram
B.Tech (Honors) in Computer Science & Engineering (2014-2016). CGPA: 9.47/10. (Transferred to IIIT-H via Lateral Entry)

Narayana PU College, Bangalore
Senior Secondary, Sciences + Computer Science (State Board, 2012-2014). Percentage: 96.5%

Delhi Public School East, Bangalore
Secondary, Sciences + Computer Science (CBSE, 2010-2012). CGPA: 10/10

Ryan International School Kundalahalli, Bangalore
Primary & Junior High (ICSE, 2002-2010).

Website adapted from Prof. Jon Barron's website: source code
Link to his website : here