MMLIS Lab Randy C. Hoover
Mines Machine Learning & Intelligent Systems Lab

Publications

A comprehensive list of publications from research in MMLIS‑L, listed most recent first.

Full CV (PDF, updated Dec. 2025)

2026

  • Sherwyn Braganza, Tanvi Govil, Dipayan Samanta, Randy Hoover, David Salem, and Rajesh Sani, “An Optimized and Integrated Robust Tool for Pangenome Generation and Analysis” (accepted), Springer Journal on Functional and Integrated Genomics, 2026.
  • Randy C. Hoover, Jacob James, Paul May, and Kyle Caudle, “Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization,” IEEE/ACM International Conference on Machine Learning & Applications, 2026.
  • Jacob James, Randy C. Hoover, Paul May, and Kyle Caudle, “Smooth Latent Adaptive Trajectory Estimator,” IEEE/ACM International Conference on Machine Learning & Applications, 2026.

2025

  • Jackson Cates, Randy C. Hoover, Kyle Caudle, and Dave Marchette, “TSGCN: A Framework for Hierarchical Graph Representation Learning,” IEEE Transactions on Network Science and Engineering, pp. 727–737, Vol. 12, Issue 2, March 2025.

2024

  • Brian Fehrman, Francis Akowuah, and Randy C. Hoover, “Evading VBA Malware Classification using Model Extraction Attacks and Stochastic Search Methods,” IEEE Cyber Awareness and Research Symposium, 2024.
  • Jackson Cates, Randy C. Hoover, Kyle Caudle, and Dave Marchette, “Temporal Tensor Factorization: A Framework for Low‑Rank Multilinear Time‑Series Forecasting,” IEEE/ACM International Conference on Machine Learning and Applications, 2024.
  • Jackson Cates, Cagri Ozdemir, Randy C. Hoover, Kyle Caudle, Karen Braman, and Dave Marchette, “Forecasting Multi‑Linear Data via Transform‑Based Tensor Autoregression,” ArXiv, 2024.
  • Cagri Ozdemir, Randy C. Hoover, Kyle Caudle, and Karen Braman, “High‑Order Multilinear Discriminant Analysis via Order‑n Tensor Eigendecomposition,” ArXiv, 2024.
  • Cagri Ozdemir, Randy C. Hoover, Kyle Caudle, and Karen Braman, “Tensor Discriminant Analysis on Grassman Manifolds with Application to Human Action Recognition,” Springer Journal of Machine Learning and Cybernetics, 2024.

2022

  • Cagri Ozdemir, Randy C. Hoover, Kyle Caudle, and Karen Braman, “Kernelization of Tensor Discriminant Analysis with Application to Image Recognition,” IEEE/ACM International Conference on Machine Learning and Applications, 2022.
  • Jackson Cates, Cagri Ozdemir, Randy C. Hoover, Kyle Caudle, and Karen Braman, “Anomaly Detection from Multilinear Observations via Time‑Series Analysis and 3DTPCA,” IEEE/ACM International Conference on Machine Learning and Applications, 2022.

2021

  • Cagri Ozdemir, Randy C. Hoover, and Kyle Caudle, “Fast Tensor Singular Value Decomposition Using the Low‑Resolution Features of Tensors,” IEEE/ACM International Conference on Machine Learning and Applications, 2021.
  • Jackson Cates, Randy C. Hoover, Kyle Caudle, Riley Kopp, and Cagri Ozdemir, “Transform‑Based Tensor Auto Regression for Multilinear Time Series Forecasting,” IEEE/ACM International Conference on Machine Learning and Applications, 2021.
  • Cagri Ozdemir, Randy C. Hoover, and Kyle Caudle, “2DTPCA: A New Framework for Multilinear Principal Component Analysis,” IEEE International Conference on Image Processing, 2021.
  • Hadi Fekrmandi, Alex Frye, Amirhossein Tamjidi, John Rakoczy, and Randy C. Hoover, “Autonomous Multi‑agent Systems Using SVGS Camera Sensor for Lunar Surface Mobility Applications,” IEEE Aerospace Conference, 2021.
  • H. Fekrmandi, B. Dadashzadeh, J. Allen, R. C. Hoover, and Y. Banadaki, “Design and Sensorless Control of an In‑Pipe Robot with Hybrid Locomotion,” Journal of Autonomous Vehicles and Systems, 2021.

2020

  • Kyle Caudle, Patrick Flemming, and Randy C. Hoover, “A Review of Flow Field Forecasting: A High Dimensional Forecasting Procedure,” WIRES Journal of Computational Statistics, Feb. 2020.
  • Jiayi Liu, Randy C. Hoover, and Jeff S. McGough, “Mobile Fiducial‑Based Collaborative Localization and Mapping (CLAM): Preliminary Results and Future Directions,” Proceedings of the 2020 USCToMM Symposium on Mechanical Systems and Robotics, 2020.
  • Hadi Fekrmandi, Skye Rutan‑Bedard, Alexander Frye, and Randy Hoover, “Validation of Vision‑based State Estimation for Localization of Agents and Swarm Formation,” Proceedings of the 2020 USCToMM Symposium on Mechanical Systems and Robotics, 2020.

2019

  • Hadi Fekrmandi, Skye Rutan‑Bedard, Alexander Frye, Michael Yoon, and Randy C. Hoover, “Vision‑based Guidance and Navigation for Swarm of Small Satellites in a Formation Flying Mission,” 32nd Florida Conference for Recent Advances in Robotics, 2019.
  • Chinmaya Kaji, Randy C. Hoover, and Shankarachary Ragi, “Underwater Navigation Using Geomagnetic Field Variations,” Proceedings of the 2019 IEEE International Conference on Electro/Information Technology, 2019.
  • Kyle Caudle, Patrick Flemming, Larry Pyeatt, and Randy C. Hoover, “Flow‑Field Forecasting with Many Predictors,” International Conference on Compute and Data Analysis, 2019.
  • Aaron Campbell, Kyle Caudle, and Randy C. Hoover, “Examining Intermediate Data Reduction Algorithms for use with t‑SNE,” International Conference on Compute and Data Analysis, 2019.
  • Kyle Caudle, Larry Pyeatt, Anthony Morast, Christer Karlsson, and Randy C. Hoover, “Building a Better Decision Tree by Delaying the Split Decision,” International Conference on Compute and Data Analysis, 2019.

2018

  • Randy C. Hoover, Kyle Caudle, and Karen Braman, “Multilinear Discriminant Analysis through Tensor‑Tensor Eigendecomposition,” IEEE/ACM International Conference on Machine Learning and Applications, 2018.

2016

  • Walelign M. Nikshi, Randy C. Hoover, and Mark D. Bedillion, “Nonlinear Control Synthesis for Parking Control of Mixed Conventional/Braking Actuation Mobile Robots,” American Control Conference, 2016.
  • Jeremy W. Simmons, Walelign M. Nikshi, Mark D. Bedillion, and Randy C. Hoover, “Mechatronic Design of a Mixed Conventional/Braking Actuation Mobile Robot,” ASME International Mechanical Engineering Congress and Exposition, 2016.
  • Walelign M. Nikshi, Mark D. Bedillion, and R. C. Hoover, “Parking Control of a Mixed Conventional/Braking Actuation Mobile Robot Using Fuzzy Logic Control,” ASME International Mechanical Engineering Congress and Exposition, 2016.

2015

  • Jeevan Manikyarao Meruga, Carly (Nesson) Fountain, Jon J. Kellar, Grant Crawford, Aravind Baride, P. Stanley May, William Cross, and Randy C. Hoover, “Multi‑layered Covert QR Codes for Increased Capacity and Security,” International Journal of Computers and Applications, Jan. 2015.
  • Hakeem Nizar, Mark Bedillion, and Randy C. Hoover, “Virtual Laboratories Using Simulink: A Pilot Study,” ASEE American Society for Engineering Education Congress and Exposition, June 2015.

2014

  • Randy C. Hoover, Rodney G. Roberts, Anthony A. Maciejewski, Priya S. Naik, and Khaled M. Ben‑Gharbia, “Designing a Failure‑Tolerant Workspace for Kinematically Redundant Robots,” IEEE Transactions on Automation Science and Engineering, Aug. 2014, Vol. PP, Issue 99.
  • Jeff S. McGough, Mark Bedillion, and Randy C. Hoover, “Replacing Servos with Braking in an Omnidirectional Vehicle,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2014.
  • Deepak Parajuli, Mark Bedillion, and Randy C. Hoover, “Actuator Array Manipulation Using Low‑Resolution Local Sensing,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2014.
  • Mark Bedillion, Randy C. Hoover, and Jeff S. McGough, “A Distributed Manipulation Concept Using Selective Braking,” American Control Conference (ACC), July 2014.

2013

  • Ning Hao, Misha E. Kilmer, Karen S. Braman, and Randy C. Hoover, “New Tensor Decompositions with Applications in Facial Recognition,” SIAM Journal on Imaging Science (SIIMS), Feb. 2013, Vol. 6, Issue 1.
  • Misha E. Kilmer, Karen S. Braman, Ning Hao, and Randy C. Hoover, “Third Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging,” SIAM Journal on Matrix Analysis and Applications (SIMAX), Feb. 2013, Vol. 34, Issue 1.
  • Dale E. Brech and Randy C. Hoover, “Development of a Virtual Reality Simulation Testbed for Collaborative UGV and UAV Research Using MATLAB,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2013.
  • Mark Bedillion, Deepak Parajuli, and Randy C. Hoover, “Distributed Sensing in Actuator Array Manipulation,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2013.
  • Carly Nesson, Randy C. Hoover, and Grant Crawford, “Encoding Multi‑Layered Data into QR Codes for Increased Capacity and Security,” National Conference for Undergraduate Research, Oct. 2013.
  • P. D. Naik, A. A. Maciejewski, R. G. Roberts, R. C. Hoover, and K. M. Ben‑Gharbia, “An Example of Computing the Failure‑Tolerant Workspace Area for a Planar Kinematically Redundant Robot,” IEEE International Conference on Automation Science and Engineering (CASE), Aug. 2013.

2012

  • Randy C. Hoover and Joseph D. St. Amand, “Design of an Approximate Control Law Using Input‑State Linearization for the Ball on a Plate System,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2012.
  • Dale E. Brech, Joseph D. St. Amand, Randy C. Hoover, Jeff S. McGough, and Mark Bedillion, “Design and Development of a Vector Thrusting Quadrotor for Minimally Induced Pitch and Roll Motions,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2012.
  • Dale E. Brech, Jiayi Liu, Alex A. Brech, and Randy C. Hoover, “Visual Feedback Navigation and Control of a Quadrotor Using Fuzzy Expert Systems,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2012.

2011

  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Fast Eigenspace Decomposition of Images of Objects with Variation in Illumination and Pose,” IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics, Apr. 2011, Vol. 41, Issue 2.
  • Randy C. Hoover, Karen S. Braman, and Ning Hao, “Pose Estimation From a Single Image using Tensor Decomposition and an Algebra of Circulants,” IEEE International Conference on Intelligent Robots and Systems (IROS), Sept. 2011.

2010

  • Randy C. Hoover, “Developing Metrics for Analyzing Low‑Dimensional Appearance Manifolds,” IASTED International Conference on Robotics and Applications, Nov. 2010.
  • Jeff S. McGough and Randy C. Hoover, “Intelligent Exploration‑Based Path Planning,” IASTED International Conference on Robotics and Applications, Nov. 2010.
  • Jeff S. McGough, Alan Christianson, and Randy C. Hoover, “Symbolic Computation of Lyapunov Functions Using Evolutionary Algorithms,” IASTED International Conference on Control and Applications, July 2010.

2009

  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Pose Estimation from Images Correlated on S1, S2, and SO(3) Using Eigendecomposition in Conjunction with Spectral Theory,” IEEE Transactions on Image Processing, Nov. 2009, Vol. 18, Issue 11.
  • Marco P. Schoen, Randy C. Hoover, Sinchai Chinvorarat, and Gerhard M. Schoen, “System Identification and Robust Controller Design using Genetic Algorithms for Flexible Space Structures,” Journal of Dynamical Systems, Measurement, and Control, May 2009, Vol. 131, Issue 3.
  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Designing Eigenspace Manifolds: With Application to Object Identification and Pose Estimation,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 2009.
  • Randy C. Hoover, Anthony A. Maciejewski, Rodney G. Roberts, and Ryan P. Hoppal, “An Illustration of Eigenspace Decomposition for Illumination Invariant Pose Estimation,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 2009.

2008

  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Pose Detection of 3‑D Objects Using Images Sampled on SO(3), Spherical Harmonics, and Wigner‑D Matrices,” IEEE Conference on Automation Science and Engineering (CASE), pp. 47–52, Washington DC, Aug. 2008.
  • Shantell R. Hinton, Randy C. Hoover, and Anthony A. Maciejewski, “An Evaluation of Visual Interfaces for Teleoperated Control of Kinematically Redundant Manipulators,” International Conference on Systems Engineering (ICSEng), pp. 242–247, Las Vegas, NV, Aug. 2008.
  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Pose Detection of 3‑D Objects Using S2‑Correlated Images and Discrete Spherical Harmonic Transforms,” IEEE International Conference on Robotics and Automation (ICRA), pp. 993–998, Pasadena, CA, May 2008.
  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “Aerial Pose Detection of 3‑D Objects Using Hemispherical Harmonics,” IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), pp. 157–160, Santa Fe, NM, March 2008.
  • Randy C. Hoover, Anthony A. Maciejewski, and Rodney G. Roberts, “An Analysis of Sphere Tessellations for Pose Estimation of 3‑D Objects Using Spherically Correlated Images,” IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), pp. 41–44, Santa Fe, NM, March 2008.

2007

  • Randy C. Hoover, Rodney G. Roberts, and Anthony A. Maciejewski, “Implementation Issues in Identifying the Failure‑Tolerant Workspace Boundaries of a Kinematically Redundant Manipulator,” IEEE International Conference on Intelligent Robots and Systems (IROS), pp. 3528–3533, San Diego, CA, Oct.–Nov. 2007.

2005

  • Randy C. Hoover, Marco P. Schoen, and D. Subbaram Naidu, “Hybrid Computing Techniques for Collaborative Control of UCAVs,” ASME International Mechanical Engineering Congress and Exposition (IMECE), Orlando, FL, November 2005.
  • Randy C. Hoover, Marco P. Schoen, and D. Subbaram Naidu, “Fusion of Hard and Soft Control for Uninhabited Aerial Vehicles,” Proceedings of the 16th International Federation on Automatic Control World Congress (IFAC), Prague, CZ, July 2005.