Varun Srivastava

ORCID: 0009-0002-5273-6944
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Pulsars and Gravitational Waves Research
  • High-pressure geophysics and materials
  • Speech Recognition and Synthesis
  • Machine Learning and Algorithms
  • Air Quality Monitoring and Forecasting
  • Space exploration and regulation
  • Speech and Audio Processing
  • Color Science and Applications
  • Geophysics and Gravity Measurements
  • Color perception and design
  • Phonetics and Phonology Research
  • Advanced Image and Video Retrieval Techniques
  • History and Developments in Astronomy
  • Visual perception and processing mechanisms
  • Impact of Light on Environment and Health
  • Superconducting Materials and Applications
  • Sparse and Compressive Sensing Techniques
  • Gamma-ray bursts and supernovae
  • UAV Applications and Optimization
  • Space Science and Extraterrestrial Life

University of California, Berkeley
2024

Norwegian University of Science and Technology
2023

Indian Institute of Science Education and Research Pune
2017

This Horizon Study describes a next-generation ground-based gravitational-wave observatory: Cosmic Explorer. With ten times the sensitivity of Advanced LIGO, Explorer will push astronomy towards edge observable universe ($z \sim 100$). The goals this are to describe and evaluate design concepts for Explorer; plan United States' leadership in astronomy; envisage role international effort build "Third-Generation" (3G) observatory network that make discoveries transformative across astronomy,...

10.48550/arxiv.2109.09882 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Unmanned Aerial Vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of data, searching detecting emission sources, monitoring emissions from fixed mobile sources. Despite numerous advantages using UAVs, their use, however, presents several challenges that limit broader adoption. For example, UAVs require efficient algorithms components to minimize power consumption, overall payload used on needs be small ensure...

10.1109/jiot.2023.3290508 article EN cc-by IEEE Internet of Things Journal 2023-06-28

We investigate the effects of observatory location on probability discovering optical/infrared (OIR) counterparts gravitational wave sources. show that, for LIGO–Virgo network, odds OIR some latitude dependence. A stronger effect is seen to arise from timing observing runs during year, with northern observatories having a better chance finding in winters. Assuming identical technical capabilities, tentative mid-2017 three-detector network run favors southern discovery electromagnetic counterparts.

10.3847/1538-4357/aa62a4 article EN The Astrophysical Journal 2017-03-20

Genetic studies indicate that more than 50% of women are genetically tetrachromatic, expressing four distinct types color photoreceptors (cone cells) in the retina. At least one functional tetrachromat has been identified laboratory tests. We hypothesize there is a large latent group population capable fundamentally richer experience, but we not yet aware this because lack tetrachromatic colors visual environment. This paper develops theory and engineering practice for fabricating...

10.1145/3658232 article EN ACM Transactions on Graphics 2024-07-19

Matrices are exceptionally useful in various fields of study as they provide a convenient framework to organize and manipulate data structured manner. However, modern matrices can involve billions elements, making their storage processing quite demanding terms computational resources memory usage. Although prohibitively large, such often approximately low rank. We propose an algorithm that exploits this structure obtain rank decomposition any matrix $\mathbf{A}$ $\mathbf{A} \approx...

10.48550/arxiv.2310.11028 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Glottal Closure Instants (GCIs) correspond to the temporal locations of significant excitation vocal tract occurring during production voiced speech. GCI detection from speech signals is a well-studied problem given its importance in processing. Most existing approaches for adopt two-stage approach (i) Transformation signal into representative where GCIs are localized better, (ii) extraction using obtained first stage. The former stage accomplished processing techniques based on principles...

10.48550/arxiv.1804.10147 preprint EN other-oa arXiv (Cornell University) 2018-01-01
Coming Soon ...