Caleb Rascon

I've worked in the research, development and application of Computer Science and Electronic Engineering, in both industrial and academic settings.

I want to enrich myself and my environment, with both theoretical knowledge and practical experience, for the purpose of continuous self-improvement in the fields of scientific research and industrial application. And through this, bring forward and maintain a stable research and development base, that can service the next generations of researchers to further along the scientifc process.

• Golem-Audio Project

  • October 2012 to Present
  Team Members: Caleb Rascon, Ivan Vladimir Meza-Ruiz

• Bachelor, Electronic Systems Engineering

  Instituto Tecnológico y de Estudios Superiores de Monterrey

  • Control Engineering
  • Artificial Inteligence
  • Signal Processing

• PhD, Applied Artificial Intelligence in Electrical and Electronic Signals

  University of Manchester - Institute of Science and Technology

  • Process Control and Automation
  • Intelligent Systems and Robotics

• Spanish

• English

1. Programming
2. Team Coordination
3. Research
4. Software Development
5. Audio Processing
6. Databases
7. Computer Science

• Recovering Independent Components from Shifted Data using FastICA and Swarm Intelligence.

  • Applied Spectroscopy
  • October 1, 2009
  Authors: Caleb Rascon, Barry Lennox, Ognjen Marjanovic

  Frequency displacement, or spectral shift, is commonly observed in industrial spectral measurements. It can be caused by many factors such as sensor de-calibration or by external influences, which include changes in temperature. The presence of frequency displacement in spectral measurements can cause difficulties when statistical techniques, such as independent component analysis (ICA), are used to analyze it. Using simulated spectral measurements, this paper initially highlights the effect that frequency displacement has on ICA. A post-processing technique, employing particle swarm optimization (PSO), is then proposed that enables ICA to become robust to frequency displacement in spectral measurements. The capabilities of the proposed approach are illustrated using several simulated examples and using tablet data from a pharmaceutical application.

• Robotic Orientation towards Speaker for Human-Robot Interaction

  • Advances in Artificial Intelligence
  • September 1, 2010
  Authors: Caleb Rascon, Hector Aviles, Luis A. Pineda

  The orientation of conversational robots to face their interlocutors is essential for natural and efficient Human-Robot Interaction (HRI). In this paper, progress towards this objective is presented: a service robot able to detect the direction of a user, and orient itself towards him/her, in a complex auditive environment, using only voice and a 3-microphone system. This functionality is integrated within Spoken HRI using dialogue models and a cognitive architecture. The paper further discusses applications where robotic orientation benefits HRI, such as a tour-guide robot capable to guide a poster session and a “Marco Polo” game where a robot aims to follow a user purely by sound.

• Lightweight Multi-direction-of-arrival Estimation on a Mobile Robotic Platform

  • Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering and Computer Science 2012
  • October 24, 2012
  Authors: Caleb Rascon, Luis Pineda

  Knowledge of how many users are there in the environment, and where they are located is essential for natural and efficient Human-Robot Interaction (HRI). However, carrying out the estimation of multiple Directions-of-Arrival (multi-DOA) on a mobile robotic platform involves a greater challenge as the mobility of the service robot needs to be considered when proposing a solution. This needs to strike a balance with the performance of the DOA estimation, specifically in the amount of users the system can detect, which is usually limited by the amount of microphones used. In this paper, a lightweight hardware system (based on a 3-microphone triangular system) is used, and a fast multi-DOA estimator is proposed that is able to estimate more users than the number of microphones employed.

Sitios web:

• Sitio web de la empresa
• Blog
• C.V.

Intereses:

Artificial Intelligence, Software Development, Apple, Music Production

Grupos y asociaciones:

Control Systems Centre, University of Manchester, Makko Solutions

• 
  Artificial Intelligence
• 
  IIMAS UNAM
• 
  The University of Manchester Alumni Association
• 
  UNAM - Universidad Nacional Autonoma de Mexico
• 
  University of Manchester Postgraduate Alumni

Reconocimientos y premios:

Nomination for the Student Merit Award.