Tridib Mukherjee

Principal Researcher, Data Science & AI, Games24x7

Joined

June 2022

Names

Tridib Mukherjee (Preferred)

Emails

****@gmail.com (Confirmed)

****@games24x7.com (Confirmed)

Personal Links

DBLP

Career & Education History

Principal Researcher

Data Science & AI, Games24x7 (games24x7.com)

2018 – Present

PhD student

Computer Science, Arizona State University (asu.edu)

2003 – 2009

Advisors, Relations & Conflicts

PhD Advisor

Sandeep Gupta

2003 – 2009

Expertise

No areas of expertise listed

Publications

Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
Hussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee
- CoRR 2025
- Readers: Everyone
ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform
Pulkit Agrawal, Aditya Pareek, Rukma Talwadker, Tridib Mukherjee
- COMAD/CODS 2024
- Readers: Everyone
EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL
Debanjan Sadhukhan, Deepanshi Seth, Sanjay Agrawal, Tridib Mukherjee
- CIKM 2024
- Readers: Everyone
MIRAGE: Modelling Interpretable Multivariate Time Series Forecasts with Actionable Ground Explanations
Hussain Jagirdar, Rukma Ameet Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee
- Submitted to ICLR 2024
- Readers: Everyone
t-RELOAD: A REinforcement Learning-based Recommendation for Outcome-driven Application
Debanjan Sadhukhan, Sachin Kumar, Swarit Sankule, Tridib Mukherjee
- AIMLSystems 2023
- Readers: Everyone
Concurrent Steiner Tree Selection for Global routing with EUVL Flare Reduction
Sudipta Paul, Tridib Mukherjee, Pritha Banerjee, Susmita Sur-Kolay
- Integr. 2023
- Readers: Everyone
Image Emotion Recognition using Cognitive Contextual Summarization Framework
Virendra Patil, Debeshwar Maitra, Sethuraman T V, Manasa Kolla, Tridib Mukherjee
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
Rukma Talwadker, Surajit Chakrabarty, Aditya Pareek, Tridib Mukherjee, Deepak Saini
- KDD 2022
- Readers: Everyone
ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms
Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas, Sanjay Agrawal
- 2022 (modified: 23 Jan 2023)
- COMAD/CODS 2022
- Readers: Everyone

View all 75 publications

Co-Authors

View all 108 co-authors