0000-0003-4515-7434 About
Dr. Arup Kumar Sahoo is currently working as a Hatter postdoctoral research fellow at the Autonomous Navigation and Sensor Fusion Lab (ANSFL), within the Hatter Department of Marine Technologies, University of Haifa, Israel. His ongoing research focuses on integrating physics-informed neural networks with advanced navigation systems for maneuvers of autonomous robots (quadrotors, mobile wheeled robots, and AUVs).
In parallel, Dr. Sahoo also holds the position of Assistant Professor in the Department of Computer Science and Engineering at Siksha 'O' Anusandhan (Deemed to be University), Odisha, India.
He earned his Ph.D. from the Artificial Intelligence unit of the Department of Mathematics at the National Institute of Technology (NIT), Rourkela, Odisha, India. His doctoral research encompassed areas such as scientific machine learning, differential equations, artificial neural networks, and artificial intelligence. He also holds an M.Phil. in Mathematics from Utkal University, Bhubaneswar, and an M.Sc. in Mathematics and Computing from Biju Patnaik University of Technology, Rourkela.
Dr. Sahoo has authored and co-authored one book, one edited book, along with 16 research papers and book chapters. He has presented his work at numerous international conferences and workshops across five countries: India, USA, Japan, UAE, and Israel. In recognition of his contributions, he received the Best Paper Presenter Award at an IEEE conference in 2023.
Employment
Employment history is unavailable.
Education
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University of Haifa Postdoctoral2025 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- DVL-DeepONet: A physics-guided operator learning for resilient underwater navigation Save
- DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation Save
- A-PINN: Auxiliary Physics-informed neural networks for structural vibration analysis in continuous Euler-Bernoulli beam Save
- Physics-informed neural network for vibration analysis of large membranes Save
- Artificial Neural Networks and Type-2 Fuzzy Set Save
- CL-PINN: A Physics-Informed Neural Networks Framework for Equatorial Tsunami Wave Propagation in Geophysical Ocean Save
- Driver drowsiness shield (DDSH): a real-time driver drowsiness detection system Save
- Introduction to soft computing Save
- MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation Save
- An Unsupervised Scientific Machine Learning Algorithm for Approximating Displacement of Object in Mass-Spring-Damper Systems Save