Paul Mario Koola

 Paul Mario Koola

Paul Mario Koola

  • Courses5
  • Reviews20
May 3, 2018
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

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Not Mandatory



Difficulty
Clarity
Helpfulness

Awesome

This is a professor that really cares about his students passing. Very generous with his grading if you can explain the reason behind your answers. When he sees that people are losing interest he tells stories.

Jan 13, 2020
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Awesome

Doctor Koola truly cares about his students. The course work is incredibly tough and time consuming. However, he will do his best to help you through it. He seems strict and really tough, but he's truly a nice guy. 10/10 I highly recommend his class.

Jul 15, 2020
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Mandatory


online
Difficulty
Clarity
Helpfulness

Awesome

Prof. Koola is one of the most caring and nicest profs I've ever had at A&M. He's very caring and he really knows his stuff. His lectures can be quite boring but he's very good at explaining the material.

Biography

Texas A&M University Galveston - Engineering


Resume

  • 2018

    Paul Mario Koola

    (2018) “Cybersecurity – A systems perspective”

    Dynamic Positioning (DP) Conference

    Houston

    Oct 9-10

    Cybersecurity – A systems perspective

    Charles Jones

    Ronald Ferandes

    IHAL-Based Instrumentation Configuration Management Tools

    Abstract: Machines have been getting intelligent and they are outpacing humans at certain complex tasks. This paper gives an overview of some of the key technologies used in machine intelligence. We suggest that given the future projections in machine capabilities

    man machine symbiosis is a given. Hence we propose that human learning must be driven to increase the capacity to understand concepts and apply that knowledge

    rather than just memorize facts or processes. Repetitive human tasks will get automated

    freeing us to push the boundaries of creativity and innovation.

    How do we train a stone to think? A review of machine intelligence and its implications

    Charles Jones

    Ronald Fernandes

    An Instrumentation Hardware Abstraction Language

    Paul Mario Koola

    (2018) “Cybersecurity – A deep dive into the abyss”

    Marine Technology Society (MTS) Journal

    September/October 2018 Volume 52 Number 5.

    Cybersecurity – A deep dive into the abyss

    Gian Colombo

    Abstract: Based on the potential power of human-computer symbiosis

    we present a methodology to capture and fuse unconscious cognition with high-powered computer analysis to improve the solution to complex computational problems. Unconscious cognition can be captured using non-intrusive sensors such as eye trackers when stimuli are controlled

    and this system's response signal has the resolution to differentiate between conscious deliberate movements from the unconscious. This post-processed response signal

    when combined with the power of computation

    will provide a dynamic pathway to enable enhanced discovery and understanding in complex problem-solving domains

    aiding effective decision-making. A central result of this paper is a methodology that can rank order unconscious cognition responses for prioritization into the computational engine

    demonstrated using eye-tracking measurements on visual search.

    A methodology for capturing and fusing unconscious cognition with computation

    Principal Investigator: Developing Machine Learning algorithms to decipher Rules of Operation from Data Traces on board Aircraft Carriers to generate Executable Architectures for Autonomous Aircraft. Technology scales to deciphering rules of movement of a group of entities under constrained conditions. e.g. Manufacturing shop floors

    Theme parks etc.

    Data Mining Paint Degradation: Aging Aircraft Program

    Co-Principal Investigator: Developed Data Mining techniques to explore paint degradation using EIS

    Color and Gloss measurements

    LIQDS (Leak Identification

    Quantification and Detection System)

    Principal Investigator: Developed Preventive Health Maintenance (PHM) Solutions

    CORMIT (Corrosion Mitigation)

    Project Manager: Developed virtual sensors using machine intelligence algorithms and data fusion

    NDI Image Mining: Aging Aircraft Program

    Principal Investigator: Developed automated Tools for Non Destructive Evaluation (NDE) techniques

    iSee (IC the Fusion of Intuitive decision making with Computation)

    Principal Investigator - iSee (IC the Fusion of Intuitive decision making with Computation) is a framework that will enable accelerated

    accurate intuitive Decision Making (iDM). The goal is to blend rapid data processing capabilities of computers with intuitive decision making skills of humans to improve human information throughput and decision making.

    Oil Drilling Industry project for Department of Energy (DOE)

    Project Manager: Developed drilling domain algorithms for automating day to day tasks like drill string connectivity

    Wave Carpet

    Principal Investigator: A novel design for a rapidly re-deployable wave energy technology

    Indian Wave Energy Program

    150kW prototype Wave Power plant that pumped electricity to the national grid in the 90's

    Parasitic Power Pack (P3)

    Principal Investigator: Perpetual wave energy for powering ocean sensors

    Multi Spectral Feature Fusion (MSFF)

    Project Manager: Used image processing and Bayesian Fusion to enhance target discrimination

    Paul Mario

    Koola

    Texas A&M University

  • 2009

    Knowplica

    Galveston

    TX

    Professor of Practice | Asst. Director of Freshman Engineering

    Galveston

    Texas A&M University

    Consulting Company

    Knowplica

    Richard Mayer

    Apparatus and systems

    as well as methods and articles of manufacture

    may operate to receive oscillatory motion at an inertial mass to impart motion to a fluid

    rotate a turbine or vibrate a beam using the motion imparted to the fluid

    and generate power using a generator mechanically coupled to the turbine or beam.

    Power generation apparatus

    systems

    and methods

    US20090206608

    Richard Mayer

    This invention relates to a self-calibrating resistive gauge for the measurement of liquid levels

    A self-Calibrating restive gauge for the measurement of liquid levels

    521/MAS/1997

    VARADARAJAN JAGADEESH KUMAR

    MTS

    ASME

    IEEE

    ACM

    German Alexander Von Humboldt Fellow

    The Alexander von Humboldt Foundation is unique in that it not only provides individual sponsorship for outstandingly qualified researchers but also integrates them in a world-spanning network of excellence during their entire lifetime. This “Humboldt Family” connects the world’s academic elite with Germany.\n\nhttp://www.humboldt-foundation.de/web/about-us.html

    Alexander Von Humboldt Foundation

    US Fulbright Scholar

    The Fulbright Program began in 1946. The Fulbright Program offers grants to study

    teach and conduct research for U.S. citizens to go abroad and for non-U.S. citizens to come to the United States. Becoming a Fulbrighter means entering into a diverse community of accomplished individuals.\n\nhttp://eca.state.gov/fulbright/about-fulbright

    USA

  • 1998

    Master of Business Administration (M.B.A.)

    MBA

    Texas A&M University - Mays Business School

  • 1994

    Indian Institute of Technology

    Madras

    Knowledge Based Systems

    Inc.

    Teaching

    Research and Consulting\nExcelled in Teaching & Research Project Execution

    Asst. Professor

    Chennai Area

    India

    Indian Institute of Technology

    Madras

    Responsible for the entire life cycle of applied research program management including:\nBringing in Funds\nCommunicating and engaging clients to understand their requirements\nResearching and writing proposals \nSupporting contract negotiations\nArchitecting and Implementing Innovative Technical Solutions\nRapid Tool Prototyping \nManaging project milestones and deliverables - Review Meetings

    Reports and final debrief \nContract closeout

    Knowledge Based Systems

    Inc.

  • 1987

    U.S. Fulbright Scholar

    Ocean Engineering

    Stevens Institute of Technology

  • 1986

    Doctor of Philosophy (Ph.D.)

    Wave Energy

    Indian Institute of Technology

    Madras

  • 1983

    Master of Technology (MTech)

    Ocean Engineering

    Indian Institute of Technology

    Madras

  • 1978

    Bachelor of Science (BSc)

    Mechanical Engineering

    Athletics & Field Hockey Captain

    Cochin University of Science and Technology

  • Business Development

    Modeling and Simulation

    Decision Sciences

    Leadership

    Program Management

    Technology Management

    Man Machine Symbiosis

    Visualization

    Innovative Research & Development

    Artificial Intelligence

    Data Fusion

    Sensors

    Engineering

    Data Analytics

    Research

    Image Processing

    Project Management

    Machine Learning

    Signal Processing

    Instrumentation

    Rule Extraction and Visualization from Data Traces

    In this paper we present methods

    process and algorithms to decipher the hidden rules or logic of complex traffic patterns – traces of assets

    people and equipment -- and demonstrate technologies for Automated Rule Learning from Data Traces. We call this system for automated rule learning from data traces - TraceLogic.\nWe demonstrate this technology on aircraft carriers. Operations on aircraft carriers are often described as controlled chaos. Complex organizational systems

    such as those that govern and effect aircraft movement onboard carriers

    do not operate on predetermined low level rules but rather adapt and learn based on high-level guidelines. Critical situations that are often new or unique are best tackled by adaptive and well-trained organizations.

    Rule Extraction and Visualization from Data Traces

ENGR 111

4.7(10)

ENGR 112

4.8(6)

online

ENGR 216

5(1)