Magni Hussain

Assistant Research Professor in Electronics, Instrumentation, and Control Systems

Magni Hussain

Research Summary

AI, automation, robotics, electronics, and advanced controls in agriculture including specialty crop production, controlled-environment agriculture (CEA), and agricultural health and safety.

Huck Affiliations

Most Recent Publications

Magni Hussain, Long He, James Rawlinson Schupp, David Lyons, Paul Heinemann, 2024, Journal of Field Robotics

Magni Hussain, Long He, James Rawlinson Schupp, David Lyons, Paul Heinemann, 2023, Computers and Electronics in Agriculture on p. 107734

Magni Hussain, Long He, James Schupp, Paul Heinemann, Paul Heinemann, James Schupp, 2022, Journal of the ASABE on p. 779-788

Modification Comparisons of the Particle Swarm and Levy Flight Firefly Adaptive DSP Algorithms

William Kenneth Jenkins, Magni Hussain, 2021, on p. 105-108

Lévy Firefly Algorithms Applied to Improve Sequential Adaptive Processing for Fetal Electrocardiograms (FECGs)

William Kenneth Jenkins, M. Hussain, 2021, on p. 270-273

Use of the Lévy Flight Firefly Algorithm in 2D McClellan Unconstrained Transform Adaptive Filters

M. Hussain, W. K. Jenkins, C. Radhakrishnan, 2020, on p. 856-859

Advanced applications using bio-inspired optimization algorithms for adaptive digital filters designed with FIR and IIR lattice-ladder structures

M. Hussain, William Kenneth Jenkins, C. Radhakrishnan, 2020,

The Effects of Arithmetic Roundoff Error on the Lévy Fire Fly Algorithm When Used in Coupled Form Adaptive Filter Structures

M. Hussain, William Kenneth Jenkins, C. Radhakrishnan, 2019, on p. 1573-1577

Performance Evaluations of Bio-Inspired Adaptive Algorithms Applied to IIR Digital Filters Designed with Coupled Form Second Order Sections

M. Hussain, W. K. Jenkins, C. Radhakrishnan, 2019, on p. 888-891

Effectiveness of the bio-inspired firefly algorithm in adaptive signal processing for nonlinear systems

M. Hussain, William Kenneth Jenkins, 2019,

Most-Cited Papers

Magni Hussain, Long He, James Rawlinson Schupp, David Lyons, Paul Heinemann, 2023, Computers and Electronics in Agriculture on p. 107734

Adaptive digital filtering using the bio-inspired firefly algorithm

M. Hussain, William Kenneth Jenkins, 2017, on p. 816-819

Effectiveness of the bio-inspired firefly algorithm in adaptive signal processing for nonlinear systems

M. Hussain, William Kenneth Jenkins, 2019,

Advanced applications using bio-inspired optimization algorithms for adaptive digital filters designed with FIR and IIR lattice-ladder structures

M. Hussain, William Kenneth Jenkins, C. Radhakrishnan, 2020,

Performance Evaluations of Bio-Inspired Adaptive Algorithms Applied to IIR Digital Filters Designed with Coupled Form Second Order Sections

M. Hussain, W. K. Jenkins, C. Radhakrishnan, 2019, on p. 888-891

Magni Hussain, Long He, James Schupp, Paul Heinemann, Paul Heinemann, James Schupp, 2022, Journal of the ASABE on p. 779-788

Use of the Lévy Flight Firefly Algorithm in 2D McClellan Unconstrained Transform Adaptive Filters

M. Hussain, W. K. Jenkins, C. Radhakrishnan, 2020, on p. 856-859

The Effects of Arithmetic Roundoff Error on the Lévy Fire Fly Algorithm When Used in Coupled Form Adaptive Filter Structures

M. Hussain, William Kenneth Jenkins, C. Radhakrishnan, 2019, on p. 1573-1577

Magni Hussain, Long He, James Rawlinson Schupp, David Lyons, Paul Heinemann, 2024, Journal of Field Robotics

Modification Comparisons of the Particle Swarm and Levy Flight Firefly Adaptive DSP Algorithms

William Kenneth Jenkins, Magni Hussain, 2021, on p. 105-108