nishc/dev
Index/Research·10 Publications

Academic foundations.

My academic work spans medical ultrasound imaging and maritime logistics optimisation. These days my focus is on building production RL systems for container terminals, but the research foundations in signal processing, model-based deep learning, and reinforcement learning inform everything I build.

2026
A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem
Yunqi Huang, Nishith Chennakeshava, Alexis Carras, Vladislav Neverov, Wei Liu, Aske Plaat, Yingjie Fan
Dynamics in Logistics (Lecture Notes in Logistics), SpringerMaritime & Reinforcement Learning
2025
A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem
Yunqi Huang, Nishith Chennakeshava, Alexis Carras, Vladislav Neverov, Wei Liu, Aske Plaat, Yingjie Fan
arXiv preprintMaritime & Reinforcement Learning
2024
An Adversarial Learning Approach to Generate Pressure Support Ventilation Waveforms for Asynchrony Detection
Liming Hao, Tom H.G.F. Bakkes, Anouk van Diepen, Nishith Chennakeshava, R. Arthur Bouwman, Ashley J.R. De Bie Dekker, Pierre H. Woerlee, Francesco Mojoli, Massimo Mischi, Yan Shi, Simona Turco
Computer Methods and Programs in BiomedicineMedical Imaging & Signal Processing6 citations
2023
Ultrasound Signal Processing: From Models to Deep Learning
Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J.G. van Sloun
Ultrasound in Medicine and BiologyMedical Imaging & Signal Processing45 citations
2023
Shear-Wave Particle-Velocity Estimation and Enhancement Using a Multi-Resolution Convolutional Neural Network
Xufei Chen, Nishith Chennakeshava, Ruud R. Wildeboer, Massimo Mischi, Ruud J.G. van Sloun
Ultrasound in Medicine and BiologyMedical Imaging & Signal Processing9 citations
2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S.W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekař, Ruud J.G. van Sloun
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)Medical Imaging & Signal Processing9 citations
2022
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound
Nishith Chennakeshava, Tristan S.W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekař, Yonina C. Eldar, Massimo Mischi, Ruud J.G. van Sloun
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)Medical Imaging & Signal Processing2 citations
2021
Deep Proximal Learning for High-Resolution Plane Wave Compounding
Nishith Chennakeshava, Ben Luijten, Massimo Mischi, Yonina C. Eldar, Ruud J.G. van Sloun
arXiv preprintMedical Imaging & Signal Processing7 citations
2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J.G. van Sloun, Elisa Ricci, Libertario Demi
IEEE Transactions on Medical ImagingMedical Imaging & Signal Processing706 citations
2020
High Resolution Plane Wave Compounding Through Deep Proximal Learning
Nishith Chennakeshava, Ben Luijten, Oded Drori, Massimo Mischi, Yonina C. Eldar, Ruud J.G. van Sloun
2020 IEEE International Ultrasonics Symposium (IUS)Medical Imaging & Signal Processing16 citations

For a complete and up-to-date list, see my Google Scholar profile.