Mohit Agrawal  

A hearty Welcome! I am Mohit Agrawal, a Senior Lead Engineer at Qualcomm. Prior to this, I spent a wonderful time as a Senior Software Engineer at Teradata R&D Labs, working in the area of distributed machine learning. I also worked as a research assistant at IIIT Delhi, where I was advised by Prof. Rajiv Ratn Shah and Prof. Rajesh Kumar.

I received my Master's and Bachelor's in Computer Science and Engineering from National Institute of Technology Tiruchirappalli and Government College of Engineering, Bhawanipatna in 2016 and 2013, respectively. During my master's I was advised by Prof. R. Leela Velusamy for my thesis titled "Spam Detection in Social Networking Sites Using Unsupervised Learning and Dimensionality Reduction".

My research area lies in the area of Trustworthy Machine Learning. Currently, my research focuses on Domain Adaptation/Generalization and Fairness.

Apart from my academic interests, I like to teach, write stuff, and travel. If you are interested in my research or have any use cases that you want to share, feel free to contact me!

Email  /  Google Scholar  /  Github  /  LinkedIn

• 11/2023:   "GenAI based Chatbot" paper got accepted at QBuzz, an annual conference organized by Qualcomm India.

• 10/2023:   "Represented Qualcomm and Judged Megathon 2023", organized by IIIT Hyderabad.

• 06/2023:   Talk on "Application of AI on Cyber Security", at NFSU, New Delhi.

• 01/2023:   Recieved Orion Award for best performance at Qualcomm, 2023.

• 12/2022:   Got selected for Google Research Week 2023.

GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System (Impact Factor: 5.81)
Mohit Agrawal,   Pragyan Mehrotra,   Rajesh Kumar,   Rajiv Ratn Shah
IEEE Transactions on Biometrics, Identity and Behavior (T-BIOM), 2022

Paper / Code

Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks
Mohit Agrawal^*,   Pragyan Mehrotra^*,   Rajesh Kumar,   Rajiv Ratn Shah
* represents equal contribution.
IEEE International Joint Conference on Biometrics (IJCB), 2021

Paper / Code

On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment
Vishaal Udandarao^*,   Mohit Agrawal^*,   Rajesh Kumar,   Rajiv Ratn Shah
* represents equal contribution.
IEEE International Conference on Multimedia Big Data (BigMM), 2020

Paper / Code

PRISMO: Priority Based Spam Detection Using Multi Optimization
Mohit Agrawal,   R. Leela Velusamy
Springer International Conference on Big Data Analytics (BDA), 2018

Paper

R-SALSA: A spam filtering technique for social networking sites
Mohit Agrawal,   R. Leela Velusamy
IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2016

Paper

Unsupervised Spam Detection in Hyves Using SALSA
Mohit Agrawal,   R. Leela Velusamy
Springer International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA), 2015

Paper

• Recieved Orion Award for best performance at Qualcomm, 2023.

• Top 10 best reviewed papers,   IEEE IJCB (2021).

• Secured 8th position out of 87 teams in MLBuzz advance level (Hackathon organized by Qualcomm),  Qualcomm (2021).

• Received admit from NUS Singapore for fully funded PhD (World's top 10 ranked university),  School of Computing, NUS (2020).

• MHRD scholarship to pursue master's in CSE based on GATE,  MHRD (2014).

• Department rank 1 out of 60 students in B.Tech.,  Government College of Engineering, Bhawanipatna (2013).

• Best paper award at NIT Rourkela,  NIT Rourkela (2012).

• Vikas pratibha award,  National Talent Search Examination (2007).

• Technical talk on "Application of AI on Cyber Security", at NFSU, New Delhi..

• Technical talk on "Jargons of Machine Learning" at VIT Vellore organized by ECE department.

• Guest speaker at Indian Naval Academy, Ezhimala, Kannur, Kerala.

• Technical talk on "The Alchemy of Data in AI" at NIT Trichy organized by IEEE-SB.