John Miller

Curriculum Vitae

• Ph.D. in Chemical Physics, University of Virginia, 1971
• B.S. in Physics & Mathematics, Davidson College, Davidson, NC, 1966

Joined WSU Tri-Cities in 2001 from the Pacific Northwest National Laboratory

• Teaching
  • Developed the following courses
  • Introduction to data mining
  • Neural Network Design and Application
  • Numerical Methods in Computational Biology

• Postdoctoral Fellowship, Los Alamos National Laboratory
• Postdoctoral Research Associate, University of Florida

• Resat, H, TP Straatsma, DA Dixon and JH Miller. 2001. The arginine finger of RasGAP helps Gln61 align the nucleophilic water in GAP-stimulated hydrolysis of GTP. Proc. Natl. Acad. Sci. USA 98:6033-8..
• Miller, JH, CP Fan-Chiang, TP Straatsma and MA Kennedy, 2003. 8-Oxoguanine Enhances Bending of DNA that Favors Binding to Glycosylases. J. Am Chem. Soc. 125:6331-6336.
• Miller, JH and F Zheng, 2004. Large-Scale Simulations of Cellular Signaling Processes. Parallel Computing 30:1137-1149.
• Miller, JH, MT Batdorf, DJ Lynch, RR Lewis and WE Wilson, Microdosimetry of Electron Microbeams. Radiat. Res. 162:474-479 (2004).
• Miller, JH, F Zheng, S Jin, HS Wiley and H Resat, A Model of Cytokine Shedding Induced by Low Doses of Gamma Irradiation. Radiat Res 163, 337-342 (2005).
• Miller, JH, A Aceves-Gaona, MB Ernst, H Haranczyk, MS Gutowski, ER Vorpagel and M Dupuis, Structure and energetics of clustered damage sites. Radiat. Res. 164, 582-585 (2005).
• Springer, DL, M Ahram, JN Adkins, LE Kathmann and JH Miller, Characterization of media conditioned by irradiated cells using proteome-wide high-throughput mass spectrometry. Radiat Res 164, 651-654 (2005).
• Jin, S, DS Daly, DL Springer, and JH Miller, The effects of shared peptides on protein quantitation in label-free proteomics by LC/MS/MS, J. Proteome Res 7, 164-169 (2008).
• Miller, JH, S Jin, WF Morgan, A Yang, Y Wan, U Aypar, JS Peters and DL Springer, Profiling mitochondrial proteins in radiation-induced genome unstable cell lines with persistent oxidative stress by mass spectrometry, Radiat Res, 169, 700-706 (2008).
• Miller, JH, A Suleiman, WB Chrisler and MB. Sowa, “Simulation of Electron Beam Irradiation of Skin Tissue Model”, Radiat. Res. 175(1), 113-118 (2011).
• Miller, JH, WB Chrisler, X Wang and MB Sowa, “Confocal Microscopy for Modeling Electron Microbeam Irradiation of Skin”. Radiat. Environ. Biophys. 10.1007/s00411-011-0371 (2012).
• Kangas, LJ, TO Metz, GL Mezengie, BT Schrom, BJ Genovska, RD Smith, L Tan RR Lewis and JH Miller, “ Metabolite In Silico Identification Software (Met ISIS): “A Machine Learning Approach to Tandem Mass Spectral Identification of Metabolites” Bioinformatics doi: 10.1093/bioinformatics/bts194 (2012)
• Miller, JH, BT Schrom and LJ Kangas. “Artificial Neural Network for Charge Prediction in Metabolite Identification by Mass Spectrometry”, In: Artificial Neural Networks, 2nd Edition (Hugh Cartwright, ed), pp89-100, Methods in Molecular Biology 1260, Springer Protocols (2014)
• Pesantez, P, MB Sowa and JH Miller, Kinetic model of development and aging of artificial skin based on analysis of microscopy data, in Microscopy and Analysis, In: Microscopy and Analysis, (Stefan G. Stanclu, ed), InTech, (2016).
• Xu, Z, X Li, N Hao, C Pan, L De La Torre, A Ahamed, JH. Miller, AJ. Ragauskas, J Yauan, and B Yang “Kinetic understanding of nitrogen supply condition on biosynthesis of polyhydroxyalkanoate (PHA) from benzoate by Pseudomonas putida KT2440”, Bioresource Technology 273, 538-544, 2019
• Hohimer, CJ, H Wang, S Bhusal, JH Miller, C Mo and M Karkee, “Design and field evaluation of a robot harvesting system with soft-robotic end-effector”, Transactions of the ASABE DOI.13031/trans.12986, January 2019
• Wang, H, C Hohimer, S Bhusal, M Karkee and C Mo and JH Miller “Simulation as a tool in designing and evaluating a robotic apple harvesting system”, IFAC-Papers On Line, 51(17), 135-140, 2018.
• Hou, H, Z Deng, JJ Martinez, T Fu, J Lu, L Tan, JH Miller and D Bakken, “A Cloud-Based Decision Support System Framework for Hydropower Biological Evaluation”, IEEE sponsored Future Technologies Conference, 13-14 November 2018, Vancouver, Canada.