Research Outputs

Preprint / Active Research

Disrupted stars and falling compact objects: Combining multi-messenger observations to constrain the population of massive black holes

Singh, S., Berry, C. P. L., Broggi, L., Veitch, J., Volonteri, M.

Preprint (2026)

Revealing massive black hole astrophysics: The potential of hierarchical inference with extreme mass-ratio inspiral observations

Singh, S., Chapman-Bird, C. E. A., Berry, C. P. L., Veitch, J.

Conference Proceedings (2025)

The Early Career Workshop of GR-Amaldi 2025

et al.

Conference Proceedings (2025)

Constraints on the extreme mass-ratio inspiral population from LISA data

Singh, S., Chapman-Bird, C. E. A., Berry, C. P. L., Veitch, J.

Journal of Cosmology and Astroparticle Physics (July 2025)

Gravitational wave lensing: probing Fuzzy Dark Matter with LISA

Singh, S., Brando, G., Savastano, S., Zumalacárregui, M.

JCAP, Volume 2025, July 2025

MNRAS Journal Paper (May 2023)

Estimating dynamical parameters of two interacting galaxies using Deep Learning

Mahor, A., Reddy, J., Singh, A., Singh, S.

Monthly Notices of the Royal Astronomical Society, Vol 521, Issue 3

MNRAS Journal Paper (November 2021)

Deep learning for estimating parameters of gravitational waves

Singh, S., Singh, A., Prajapati, A., Pathak, K. N.

Monthly Notices of the Royal Astronomical Society, Vol 508, Issue 1

AIP Conference Proceedings (2020)

Lindblad Evolution and Quantum to Classical Transition of Rabi Oscillation in Single Quantum Dot

Prajapati, A., Singh, S.

AIP Conf. Proc. 2220, 020122 (2020)

ICONE ASME Conference (2020)

Experimental and Numerical Investigation of Thermal Performance of Synthetic Jet Impingement

Singh, P. K., Kothar, R., Sahu, S., Upadhyay, P.K., Singh, S.

ICONE2020-16775, V001T03A020

Experimental Heat Transfer Journal (2021)

Experimental and numerical investigation of the thermal performance of impinging synthetic jets with different waveforms

Singh, P. K., Sahu, S., Upadhyay, P.K., Singh, S.

ICITFES NIT Rourkela (2020)

Flow and Heat Transfer analysis of an axisymmetric Impinging Synthetic Jet for Electronic Cooling

Singh, P. K., Kumar, A., Shah, A., Kishor, A., Sahu, S. K., Upadhyay, P. K., Singh, S.

Proc. NIT Rourkela [Paper ID: 13754]

CAMNP Conference Presentation (2019)

Decoherence Control via Pumping of Electromagnetic Energy in Open Quantum System

Prajapati, A., Singh, S.

The 5th Int. Conf. on Atomic, Molecular, Nano-physics with Application

Preprint Archive (2020)

Predicting future astronomical events using deep learning

Singh, S., Prajapati, A., Pathak, K.N.

Zenodo Research Archive (2022)

Prospects of detection of lensed gravitational wave signals

Singh S.

Open Source Codebase
2024 - Present

MBHpopulation

Unveiling the population of massive black holes using multi-messenger data.

gravitational-waves electromagnetic-waves massive-black-hole LISA ZTF population-inference
Collaborative Research Library
2024 - 2025

Poplar

Augmenting selection bias modelling with machine learning for huge computational speedups.

gravitational-waves massive-black-hole LISA population-inference deep-learning
Contributor
2023

GLoW (Public)

Contributed to GLoW, the public Gravitational Wave Lensing library.

gravitational-waves lensed-gravitational-waves
PyCBC Feature Extension
2022

Higher Modes Parameter Estimation in PyCBC

A recovery model that allows extracting mode-by-mode information while performing parameter estimation.

gravitational-waves higher-modes premerger-detection multi-messenger PyCBC
Open Source Library
2021

lensGW

Python library for generating lensed gravitational waves, integrating PyCBC for waveform generation so that all analysis can be done natively using tools provided by PyCBC.

gravitational-waves lensed-gravitational-waves PyCBC
PyCBC Plugin Extension
2021

lensGW-PyCBC-plugin

Plugin for allowing waveforms generated by lensGW to be recognized natively by PyCBC to perform parameter estimation.

gravitational-waves lensed-gravitational-waves PyCBC
Official PyCBC Contributor
2020

LISA - Module

Prototype for analysis of Massive Black Hole Gravitational Wave signals using the LISA space-based GW observatory. Consists of a simplified LISA orbit and detector response towards a GW signal.

gravitational-waves LISA PyCBC