Martin Hagan

Timeline

1. 1972–1986

   Kansas doctorate and Tulsa faculty

   He earns a bachelor's degree in electrical engineering at the University of Notre Dame in 1972, a master's degree in information and computer science at the Georgia Institute of Technology in 1973, and a doctorate in electrical engineering at the University of Kansas in 1977. He works as a member of technical staff at The Analytical Sciences Corporation (TASC) in Reading, Massachusetts, from November 1977 to August 1978. In 1978, he joins the Electrical Engineering Department at the University of Tulsa as an assistant professor, and in 1984 he becomes an associate professor and graduate program coordinator there.

2. 1986–1998

   Associate professor at Oklahoma State

   In 1986, he joins the School of Electrical and Computer Engineering at Oklahoma State University as an associate professor. In 1994, he is a visiting scholar in the University of Canterbury's Department of Electrical and Electronic Engineering in Christchurch, New Zealand, and he and Mohammad B. Menhaj publish "Training feedforward networks with the Marquardt algorithm" in IEEE Transactions on Neural Networks.

3. 1996

   The Neural Network Design textbook

   With Howard Demuth and Mark Beale, he publishes the textbook Neural Network Design in 1996. The book presents neural network theory, design and application with MATLAB and the Neural Network Toolbox, of which he is a co-author, and it is translated into Chinese, Korean and Farsi.

4. 1998–2010

   Professor and control systems director

   He becomes a professor in the School of Electrical and Computer Engineering at Oklahoma State University in 1998. He directs the Control Systems Engineering Program of the College of Engineering, Architecture and Technology from March 1999 to September 2010, and in 2005 and 2006 he is a visiting scholar at the Laboratoire d'Analyse et d'Architecture des Systèmes of the Centre National de la Recherche Scientifique in Toulouse, France.

5. 2000–2010

   Teaching awards at Oklahoma State

   He wins the Oklahoma State University Regents Distinguished Teaching Award in 2000 and the Lockheed Martin Aeronautics Teaching Excellence Award in 2005 and 2010. His courses cover neural networks, stochastic processes, estimation theory, system identification and control systems.

6. 2011–2014

   Recurrent networks and a second edition

   Neural Networks in Chemical Reaction Dynamics, which he writes with Lionel Raff, Ranga Komanduri and Satish Bukkapatnam, comes out from Oxford University Press in 2011. In 2013, his paper with Manh Cong Phan on the error surface of recurrent neural networks appears in IEEE Transactions on Neural Networks and Learning Systems. The second edition of Neural Network Design, published in 2014, adds chapters on generalization, dynamic networks, radial basis networks and practical training issues.

7. Since 2018

   Professor emeritus at Oklahoma State

   He becomes Professor Emeritus in the School of Electrical and Computer Engineering at Oklahoma State University in January 2018. His research uses neural networks for classification, prediction, nonlinear filtering and control.

8. 2024–2025

   Multistep prediction with Joseph Kelley

   In 2024, he and Joseph Kelley publish a comparison of neural network NARX and NARMAX models for multi-step prediction in Expert Systems with Applications. In 2025, their paper "Adaptive Multistep Prediction With Sequence-to-Sequence (Seq2Seq) Models" appears in IEEE Transactions on Neural Networks and Learning Systems.