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Deepak’s research is centered on data analytics spanning areas such as natural language processing and spatio-temporal data processing, with a focus on unsupervised tasks within those realms. His current interests span three distinct streams:

• Fairness and Ethics in machine learning, with a specific focus on unsupervised machine learning (e.g., clustering, retrieval, anomaly detection).
• Data science approaches for fake news detection, with a focus on predominantly textual manifestation of fake news such as online articles (health and science domains, for example) as well as graph-based methods.
• Spatio-temporal data processing: Mining datasets where location information is central, in order for various applications such as game analytics, retail loyalty and location-based social networks.