Department of Electrical and Computer Engineering

Kenneth J. Hintz, Ph.D.

• Dr. Hintz joined the faculty of SUNY at Buffalo in the Fall of 2022 and is an Assoc. Professor in the Dept of Mechanical and Aerospace Engr, Email: khintz2@buffalo.edu.
• Dr. Hintz' 2020 book, Sensor Management in ISR (Intelligence, Surveillance, and Reconnaissance), 250 pages, Boston:Artech House, February, 2020, ISBN: 9781630816858.

  A 3-hour video tutorial based on Sensor Management in ISR which was presented at a recent ISIF conference can be downloaded from http://perquire.com/tutorial

• After retiring from Mason, Dr. Hintz moved to Savannah, GA and is continuing his research in information based sensor management (IBSM) and continuing a long term project for collecting data on emergent turtle light pollution through citizen scientists by developing a method for calibrating consumer grade cameras to scientific accuracy.
• Short news article on research related to ONR research on pre-shot sniper detection. http://newsdesk.gmu.edu/2014/06/mason-professors-technology-detects-weapons-theyre-fired/
• Dr. Hintz' research was featured in an article, Professor Uses Radar Signals to Help Safeguard Our Troops, in the Mason Research 2011 magazine.
• Dr. Hintz presented the sixth lecture in the third season of  Mason's Vision Series on Monday,  February 16, 2009 in the Center for the Arts.
  
  The Language of Landmines: Motivation to Remediation
  Landmines are a worldwide humanitarian tragedy because of the difficulties associated with removing and disabling them after they have been emplaced during a conflict.  Current efforts to detect and remove them are costly, ineffective, and slow.   While most efforts focus on eliminating or reducing their future usage, detection and remediation of existing landmines remains a difficult technical problem.  A new, fast, and highly effective method of landmine detection has been developed at Mason based on the use of ground penetrating radars to characterize landmines as strings. These strings form a language of mines that can be interpreted by a language recognizer.  After a brief introduction of the landmine problem and elimination efforts, Dr. Hintz will explain this new approach and its use in landmine detection and removal.
  

Dr. Hintz' current research interest is in Information Based Sensor Management (IBSM) which was most recently supported by the Naval Postgraduate School. He also developed a new method for pre-shot detection of barreled weapons based on his discovery of cavity induced modulation (CIM) and developed a method of utilizing ground penetrating radars for non-metallic landmine detection based on syntactic pattern recognition. He is also developing methods for the calibrated measurement of light pollution which affects hatchling sea turtles.

Before joining GMU, Dr. Hintz was with the Naval Surface Warfare Center, Dahlgren, VA, working in electronic warfare and radar signal processing where he conceived of, designed, and built the original AN/ULQ-16 pulse analyzer. Prior to working at NSWC, Dr. Hintz was with the U. S. Navy as a designated Naval Aviator stationed for 3 years in Rota, Spain flying Electronic Warfare Reconnaissance with Fleet Air Reconnaissance Squadron Two (VQ-2). During that time he became designated Electronic Warfare Aircraft Commander (EWAC) in both the EC-121 and EP-3E aircraft.

Dr. Hintz holds 27 patents, 5 patents pending, is a Fellow of SPIE, a Senior Life Member of IEEE, author of Sensor Management in ISR (Intelligence, Surveillance, and Reconnaissance, Artech House, 2020), and lead author on Microcontrollers: Architecture, Implementation, and Programming (McGraw-Hill, 1992). He received his B.S. degree in Electrical Engineering from Purdue University, West Lafayette, Indiana, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of Virginia.

Dr. Hintz is currently President and founder (2015) of Perquire Research Company (https://perquire.com/index.html) specializing in inventing solutions to difficult problems, primarily in the area of sensors, sensor management, and signal processing.