2020-
D. Borthakur, A. Paul, D. Kapil, M.J. Saikia. Yoga Pose Estimation Using Angle-Based Feature Extraction. Health, 2023
Y. Mao, M. Hasan, A. Paul, V. Gupta, K. Choudhary, F. M. Tavazza, W. Liao, A. Choudhary, P. Acar and A. Agrawal. An End-to-End AI-Driven Microstructure Optimization Framework for Elastic Properties of Titanium Beyond Cubic Crystal Systems. npj Computational Materials, 2023
Y. Mao, Z. Yang, D. Jha, A. Paul, W. Liao, A. Choudhary and A. Agrawal. Generative Adversarial Networks and Mixture Density Networks based Inverse Modeling for Microstructural Materials Design. Integrating Materials and Manufacturing Innovation Journal, 2022
A. Dimri, A. Paul, D. Girish, P. Lee, S. Afra and A. Jakubowski. A Multi-input Multi-label Claims Channeling System Using Insurance-Based Language Models Expert Systems With Applications. Expert Systems With Applications, 2022
K. Ness, A. Paul, L. Sun and Z. Zhang. Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing. Journal of Materials Processing Technology, 2022 (Special Issue on AI in Advanced Manufacturing)
R. Richards, and A. Paul. An Attention-driven LSTM Network for High Throughput Virtual Screening of Organic Photovoltaic Candidate Molecules. Solar Energy, 2021
A. Paul, W. Liao, A. Choudhary and A. Agrawal. Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards. Journal of Health Informatics Research, 2021 Download
Z.Yang, D. Jha, A. Paul, W. Liao, A. Choudhary and A. Agrawal. Generative adversarial networks with mixture density networks for inverse modeling in materials microstructural design. Workshop on Machine Learning for Engineering Modeling, Simulation and Design at the 2020 Conference on Neural Information Processing Systems (NeurIPS)
2015-2019
A. Paul, M.Mozaffar, Z. Yang, W. Liao, A. Choudhary, J. Cao and A. Agrawal. A real-time iterative approach for temperature profile prediction in additive manufacturing processes. 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019
A. Paul, A. Furmanchuk, W. Liao, A. Choudhary and A. Agrawal. Property Prediction of Organic Donor Molecules for Photovoltaic Applications using Extremely Randomized Trees. Journal of Molecular Informatics, 2019
A. Paul, D. Jha, R. Al-Bahrani, W. Liao, A. Choudhary and A. Agrawal. Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening. International Joint Conference on Neural Networks, 2019
A. Paul, P. Acar, W. Liao, A. Choudhary, V. Sundararaghavan and A. Agrawal. Microstructure Optimization with Constrained Design Objectives using Machine Learning-Based Feedback-Aware Data-Generation. Journal of Computational Materials Science, 2019
A. Paul, D. Jha, R. Al-Bahrani, W. Liao, A. Choudhary and A. Agrawal. CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations. Workshop on Machine Learning for Molecules and Materials at the 2018 Conference on Neural Information Processing Systems (NeurIPS)
D.Jha, L.Ward, A. Paul, W. Liao, A. Choudhary, C. Wolverton and A. Agrawal. ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition. Nature Scientific Reports, 2018
M.Mozaffar, A. Paul, R. Al-Bahrani, S. Wolff, A. Choudhary, A. Agrawal, K. Ehmann and J.Cao. Data-Driven Prediction of the High-Dimensional Thermal History in Directed Energy Deposition Processes via Recurrent Neural Networks. Manufacturing Letters, 2018
A. Paul, P. Acar, R. Liu, W. Liao, A. Choudhary, V. Sundararaghavan and A. Agrawal. Data Sampling Schemes for Microstructure Design with Vibrational Tuning Constraints. Journal of American Institute of Aeronautics and Astronautics, 2018
R. Liu, D. Palsetia, A. Paul, R. Al-Bahrani, D. Jha, W. Liao, A. Agrawal, and A. Choudhary. PinterNet: A Thematic Label Curation Tool for Large Image Datasets. Workshop on Open Science in Big Data at 2016 IEEE Bigdata Conference
A. Paul, A.Agrawal, W.Liao and A.Choudhary. AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries. Workshop on Sentiment Discovery and Opinion Mining at 22nd ACM Conference on Knowledge Discovery and Data Mining, 2016
J.Birnholtz, N.A.R. Merola, and A. Paul. "Is it Weird to Still Be a Virgin?": Anonymous, Locally Targeted Questions on Facebook Confession Boards. ACM Conference on Human Factors in Computing Systems, 2015
-2014
A. Paul, Varuni G., J.S. Challa and Y. Sharma. HADCLEAN: A Hybrid Approach for Data Cleaning Techniques in Data Warehouses, IEEE International Conference on Information Retrieval and Knowledge Management(CAMP), 2012
K Haribabu, C.Hota and A. Paul. GAUR: A Method to Detect Sybil Groups in Peer-to-Peer Overlays, International Journal of Grid and Utility Computing 2012, Vol.3
A. Paul, J.S. Challa, Y. Dada, V. Nerella, P.R. Srivastava and A.P.Singh. Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach, Journal of Information Processing Systems (JIPS) 2011 Volume 7
A. Paul, J.S. Challa, Y. Dada, V. Nerella, P.R. Srivastava. Quantification of Software Quality Parameters using Fuzzy Multi-Criteria Approach, IEEE International Conference on Process Automation Control and Computing (PACC), 2011
A. Paul, K. Haribabu and C. Hota. Detecting Sybils in Peer-to-Peer Overlays using Psychometric Analysis Methods, IEEE International Conference on Advanced Information Networking and Applications(AINA), 2011