Computer Science
Conference paper accepted to NeurIPS’22 (a top-tier machine learning conference).
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies https://arxiv.org/abs/2206.04670
Computer Science
Conference paper accepted to 13th International (Virtual) NeurIPS 2021 Workshop on Optimization for Machine Learning
Shifted Compression Framework: Generalizations and Improvements
Computer Science
Conference paper accepted to 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022) Shifted compression framework: generalizations and improvements
Electrical & Computer Engineering
Article: Facile Synthesis of Graphene-like Porous Carbon with Densely Populated Co-Nx Sites as Efficient Bifunctional Electrocatalysts for Rechargeable Zinc–Air Batteries
Electrical & Computer Engineering
Conference paper: Precise Multiple-Receiver GNSS SPP Algorithm Based on Constrained Optimization Techniques https://www.ion.org/publications/abstract.cfm?articleID=18173
Electrical & Computer Engineering
Article: Enhanced Selectivity in the Electroproduction of H2O2 via F/S Dual-Doping in Metal-Free Nanofibers
Applied Math and Computational Science
Article: Study of Fixed-Points in the Self-Repair Process of a 3-D Printer
https://ieeexplore.ieee.org/abstract/document/9997095
Computational Bioscience
Computational network analysis of host genetic risk variants of severe COVID-19
Bioscience
Review paper: Landscape of biomolecular condensates in heat stress responses
Bioengineering
Review paper: Decoding Electrophysiological Signals with Organic Electrochemical Transistors
Bioengineering
Article: Graphitic Carbon Nitride and IGZO Bio-FET for Rapid Diagnosis of Myocardial Infarction
Environmental Science and Engineering
Full paper: A techno-economic analysis of a thermally regenerative ammonia-based battery
https://www.sciencedirect.com/science/article/pii/S0306261923008656
Marine Science
Full paper: A Lagrangian model-based physical connectivity atlas of the Red Sea coral reefs
https://www.frontiersin.org/articles/10.3389/fmars.2022.925491/full
Earth Science & Engineering (PhD)
Full paper: Seasonal M2 Internal Tides in the Arabian Sea
Energy Resources & Petroleum Eng. (PhD)
Preprint of full paper (before peer review) Petrographic Features Prediction of Carbonate Reservoir Based on Thin Sections Using Deep-Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4236226