Prof. Salvador Elias Venegas-Andraca
Assistant Professor at Tecnológico de Monterrey
SPIE Involvement:
Author | Instructor
Publications (12)

PROCEEDINGS ARTICLE | May 2, 2017
Proc. SPIE. 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
KEYWORDS: Superposition, Detection and tracking algorithms, Sensors, Computing systems, Sensor networks, Chemical elements, Sensor fusion, Active sensors, Quantum networks, Quantum information, Quantum communications, Quantum computing, Data fusion

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Signal to noise ratio, Photodetectors, Sensors, Synthetic aperture radar, Antennas, Spatial resolution, Microwave radiation, Signal detection, Quantum information, Device simulation

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Target detection, Photodetectors, Imaging systems, Cameras, Sensors, Signal attenuation, Photons, CCD cameras, CCD image sensors, Environmental sensing

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Optomechanical design, Sensors, Synthetic aperture radar, Interferometry, Earthquakes, Sensor networks, Biomimetics, Wave propagation, Phased arrays, Sensor fusion, Motion models, Quantum information, Brain, Animal model studies

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Interferometers, Sensors, Signal attenuation, Satellites, Synthetic aperture radar, Forensic science, Interferometry, Earthquakes, Geodesy, Motion models, Systems modeling, Quantum information, Quantum communications, Global Positioning System

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9829, Radar Sensor Technology XX
KEYWORDS: Target detection, Radar, Signal to noise ratio, Doppler effect, Polarization, Sensors, Signal attenuation, Solids, Niobium, Signal detection

Showing 5 of 12 publications
Course Instructor
SC1210: Quantum Computing
Quantum computing, one of the most recent joint ventures between physics and the theory of computation, can be defined as the scientific field whose purpose is to develop hardware and algorithms based on quantum mechanical phenomena. In addition to further advance the mathematical and physical foundations of quantum computing, scientists and engineers who work in this field focus on developing cutting-edge quantum algorithms in areas like artificial intelligence, cryptanalysis, machine learning, database search, chemical simulations, and image processing. The course summarizes recent theoretical and experimental results that showcase the feasibility of large-scale quantum computation. In addition, the course describes the potential applications of quantum computing to signal analysis, sensor fusion, and computer vision.
SC1191: Quantum Sensors
Quantum sensors are sensing devices that exploit quantum phenomena in such a way that makes them perform substantially better than their classical counterparts. This course uses an information-theoretic approach to identify and explain the basic design principles and potential applications of quantum sensors. A primary goal of the course is to describe those aspects of quantum phenomena that can be harnessed in order to design and develop novel sensing devices. To this end, the course summarizes recent theoretical and experimental results that showcase the feasibility of quantum sensors. In addition, the course compares the theoretical performance of quantum sensors with their classical counterparts in the areas of radar, lidar, photo-detection, magnetometry, and gravimetry.
SC1258: Quantum Cryptography
Quantum cryptography is a scientific and engineering field devoted to harnessing physical objects whose behavior is governed by the rules of quantum mechanics to generate and distribute keys in order to convert ordinary plain text messages into meaningless (codified) messages and vice versa. In this paradigm, safe key distribution relies on the physical properties of quantum-mechanical systems rather than on mathematical conjectures. This course presents a succinct review of key generation & distribution and its role in symmetric and assymetric cryptography protocols, followed by a concise yet complete introduction to the BB84 and E91 quantum key distribution (QKD) protocols (this section comprises the theoretical foundations and several computer simulations of both QKD protocols). We finish this course by showing some real-world applications of QKD protocols.
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