A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays. - Hrithwik Shalu; Harikrishnan P; Akash Das; Megdut Mandal; Harshavardhan M. Sali; Juned Kadiwala (CoRR, 2020)

Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model. - Hrithwik Shalu; Harikrishnan P; Hari Sankar CN; Akash Das; Saptarshi Majumder; Arnhav Datar; Subin Mathew MS; Anugyan Das; Juned Kadiwala (CoRR, 2020)

GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data. - Soumen Pachal; Avinash Achar; Nancy Bhutani; Akash Das (ACML, 2024)

Leveraging Meteorological Data and Machine Learning for Improved Rainfall Forecasting in Australia. - Akash Das; K. M. Asieb Hasan (IoTaIS, 2024)

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design. - Sakhinana Sagar Srinivas 001; Akash Das; Shivam Gupta; Venkataramana Runkana (CoRR, 2024)

Artificial intelligence-based approach for water-cut prediction in crude oil processing. - Akash Das; Rahul Sudhanshu; Gaurav Shukla; Nitin Dutt Chaturvedi (Eng. Appl. Artif. Intell., 2025)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework. - Sakhinana Sagar Srinivas 001; Akash Das; Shivam Gupta; Venkataramana Runkana (CoRR, 2025)

Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off. - Abdullah Al Mamun; Pollob Chandra Ray; Md Rahat Ul Nasib; Akash Das; Jia Uddin; Md Nurul Absur (CoRR, 2025)