NITESH KUMAR SINGH

@ddn.upes.ac.in

Assistant Professor at School of Computer Science
Upes University of Tomorrow, Dehradun, India

NITESH KUMAR SINGH

RESEARCH, TEACHING, or OTHER INTERESTS

Control and Optimization, Computational Theory and Mathematics, Signal Processing, Computational Mathematics
38

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Hyperspectral Unmixing Hierarchies
    JL Garrett, PS Vishnu, P Salmi, D Lupu, NK Singh, I Necoara, ...
    arXiv preprint arXiv:2604.16969 , 2026
    2026.0
  • A stochastic augumented Lagrangian algorithm for smooth convex optimization: application to MPC with quadratic constraints
    NK Singh, D Lupu, I Necoara
    2025 33rd Mediterranean Conference on Control and Automation (MED), 508-513 , 2025
    2025.0
  • A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
    NK Singh, I Necoara
    arXiv preprint arXiv:2503.23572 , 2025
    2025.0
    Citations: 2
  • A stochastic moving ball approximation method for smooth convex constrained minimization
    NK Singh, I Necoara
    Computational Optimization and Applications 89 (3), 659-689 , 2024
    2024.0
    Citations: 6
  • Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
    NK Singh, I Necoara
    IEEE Transactions on Automatic Control 70 (1), 479-486 , 2024
    2024.0
    Citations: 3
  • Mini-batch stochastic subgradient for functional constrained optimization
    NK Singh, I Necoara, V Kungurtsev
    Optimization 73 (7), 2159-2185 , 2024
    2024.0
    Citations: 11
  • Unified analysis of stochastic gradient projection methods for convex optimization with functional constraints
    NK Singh, I Necoara
    2024 European Control Conference (ECC), 3600-3605 , 2024
    2024.0
    Citations: 1
  • Accelerating support vector machines for remote platforms by increasing sparsity
    JL Garrett, NK Singh, TA Johansen, I Necoara
    2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2022
    2022.0
    Citations: 1
  • Stochastic subgradient for composite optimization with functional constraints
    I Necoara, NK Singh
    arXiv preprint arXiv:2204.08204 , 2022
    2022.0
  • Stochastic subgradient for composite convex optimization with functional constraints
    I Necoara, NK Singh
    Journal of Machine Learning Research 23 (265), 1-35 , 2022
    2022.0
    Citations: 14
  • Time-and Event-Triggered Communication for Multi-Agent Systems—Part II: Digital Implementation and Resilience.................................. KJA Scheres, VS Dolk, MS Chong …
    NK Singh, I Necoara, Z Wu, X Zhao, J Li, D Lefebvre, CN Hadjicostis, Z Li, ...

MOST CITED SCHOLAR PUBLICATIONS

  • Stochastic subgradient for composite convex optimization with functional constraints
    I Necoara, NK Singh
    Journal of Machine Learning Research 23 (265), 1-35 , 2022
    2022.0
    Citations: 14
  • Mini-batch stochastic subgradient for functional constrained optimization
    NK Singh, I Necoara, V Kungurtsev
    Optimization 73 (7), 2159-2185 , 2024
    2024.0
    Citations: 11
  • A stochastic moving ball approximation method for smooth convex constrained minimization
    NK Singh, I Necoara
    Computational Optimization and Applications 89 (3), 659-689 , 2024
    2024.0
    Citations: 6
  • Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
    NK Singh, I Necoara
    IEEE Transactions on Automatic Control 70 (1), 479-486 , 2024
    2024.0
    Citations: 3
  • A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
    NK Singh, I Necoara
    arXiv preprint arXiv:2503.23572 , 2025
    2025.0
    Citations: 2
  • Unified analysis of stochastic gradient projection methods for convex optimization with functional constraints
    NK Singh, I Necoara
    2024 European Control Conference (ECC), 3600-3605 , 2024
    2024.0
    Citations: 1
  • Accelerating support vector machines for remote platforms by increasing sparsity
    JL Garrett, NK Singh, TA Johansen, I Necoara
    2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2022
    2022.0
    Citations: 1
  • Hyperspectral Unmixing Hierarchies
    JL Garrett, PS Vishnu, P Salmi, D Lupu, NK Singh, I Necoara, ...
    arXiv preprint arXiv:2604.16969 , 2026
    2026.0
  • A stochastic augumented Lagrangian algorithm for smooth convex optimization: application to MPC with quadratic constraints
    NK Singh, D Lupu, I Necoara
    2025 33rd Mediterranean Conference on Control and Automation (MED), 508-513 , 2025
    2025.0
  • Stochastic subgradient for composite optimization with functional constraints
    I Necoara, NK Singh
    arXiv preprint arXiv:2204.08204 , 2022
    2022.0
  • Time-and Event-Triggered Communication for Multi-Agent Systems—Part II: Digital Implementation and Resilience.................................. KJA Scheres, VS Dolk, MS Chong …
    NK Singh, I Necoara, Z Wu, X Zhao, J Li, D Lefebvre, CN Hadjicostis, Z Li, ...