• Associate Dean for Engineering at Galveston
  • Professor of Practice, Ocean Engineering
Google Scholar Profile
Paul Mario Koola

Educational Background

  • M.B.A., Texas A&M University – 2000
  • Ph.D., Indian Institute of Technology-Madras – 1991
  • B.S., Mechanical Engineering, Cochin University – 1983

Research Interests

    • Applications of systems engineering, machine learning and AI targeted to the marine domain including novel ocean infrastructure
    • Smart energy absorbing structures (SEAS)
    • Energy stations at sea
    • Ocean renewable energy powered autonomous exploration vehicles
    • Marine cybersecurity 

     

Industry Experience

  • • 40+ years of combined experience in Teaching Engineering & Broad Interdisciplinary Research and Development of Complex Interacting Systems
    • Designed and Deployed one of the world's first offshore bottom standing 150 kW Ocean Wave Energy Prototypes
    • Implemented Complex & Diverse Technologies

Awards & Honors

  • German Alexander Von Humboldt Fellow, 1997
  • Danida Scholarship (Danish Government), 1993
  • U.S. Fulbright Scholar, 1987

Selected Publications

  • Paul Koola, Ossama Abdelkhalik, Chithra Raman, "Experimental Analysis of Flexible Oscillating Water Columns for Wave Energy Conversion", Paper 706, Vol. 16 (2025): Proceedings of the 16th European Wave and Tidal Energy Conference, Funchal, 7-11 September 2025.
  • Paul M Koola,” Wave Energy Carpets”, Encyclopedia of Renewable Energy, Sustainability, and the Environment, Volume 3, doi:10.1016/B978-0-323-93940-9.00208-5
  • Paul Mario Koola, Aran Dezhban, Subrat Nanda, “Automated Inspection and Equipment Management For Ship Surveying using AI Video Processing”, OTC-35949-MS, The Offshore Technology Conference 5-8 May 2025, Houston, Texas, USA
  • Paul Mario Koola, Akif Ibragimov, “The dynamics of Wave Carpet – A novel deep water wave energy design” OCEANS 2003, MTS/IEEE Conference Proceedings- 2288-2293, San Diego, California.
  • Paul Mario Koola, “Cybersecurity – A deep dive into the abyss”, Marine Technology Society (MTS) Journal, September/October 2018 Volume 52 Number 5.
  • Paul Mario Koola, Satheesh Ramachandran, Kalyan Vadakkeveedu, “How do we train a stone to think? A review of machine intelligence and its implications”, Theoretical Issues in Ergonomics Science, Special Issue: The Future of Learning: Implications for Humans, Adaptive Systems, and Instructional Technologies, Volume 17, Issue 2, 2016 DOI: 10.1080/1463922X.2015.1111462.
Google Scholar Profile