| 2025 | ICIP | Constrained GAN-Generated X-Ray CT Data For Self-Supervised And Foundation-Model Segmentation Of Concrete Microstructures. | Amirkoushyar Ziabari, Anika Tabassum, Muralikrishnan Gopalakrishnan Meena, Amani Cheniour |
| 2024 | AAAI | Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. | Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar |
| 2023 | IRI | Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets. | Sangkeun Lee, Jong Choi, Gs Jung, Anika Tabassum, Nils M. Stenvig, Supriya Chinthavali |
| 2021 | AAAI | Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. | Alexander Rodrguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash |
| 2021 | AAAI | DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. | Alexander Rodrguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash |
| 2021 | CIKM | Actionable Insights in Urban Multivariate Time-series. | Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash |
| 2021 | ICASSP | ECG Heart-Beat Classification Using Multimodal Image Fusion. | Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan |
| 2018 | Tencon | Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study. | Anika Tabassum, Shakib Mahmood, Sadman Sakib Ahbab, Asir Intisar Khan, Samia Subrina |
| 2017 | SSDBM | Dynamic Group Trip Planning Queries in Spatial Databases. | Anika Tabassum, Sukarna Barua, Tanzima Hashem, Tasmin Chowdhury |