Arjun Mukherjee

Arjun Mukherjee is a Lecturer at the Department of Computer Science, University of Houston, where he teaches courses in Machine Learning, Data Mining, Natural Language Processing, and Data Structures. His research focuses on Bayesian Inference, Data Mining, Natural Language Processing, Sentiment Analysis, Opinion Spam, and Web Mining, with a strong emphasis on deception detection and social media analysis.

His recent publications explore advanced techniques in

• LLM-generated content detection
• synthetic data applications
• cross-domain deception modeling
• temporal user behavior analysis

, reflecting his commitment to addressing modern challenges in digital content authenticity and machine learning robustness.

Dr. Mukherjee has developed educational materials for graduate-level courses, including a well-structured Machine Learning course (COSC 6342) covering probabilistic inference, supervised/unsupervised learning, and neural networks. He earned his Ph.D. from the University of Illinois at Chicago in 2014, with a thesis titled Probabilistic Models for Fine-Grained Opinion Mining: Algorithms and Applications.