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.
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.
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.
Texas A&M University Galveston - Engineering
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
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
Master of Business Administration (M.B.A.)
MBA
Texas A&M University - Mays Business School
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.
U.S. Fulbright Scholar
Ocean Engineering
Stevens Institute of Technology
Doctor of Philosophy (Ph.D.)
Wave Energy
Indian Institute of Technology
Madras
Master of Technology (MTech)
Ocean Engineering
Indian Institute of Technology
Madras
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