Jorge Martinez Castaneda
About
"I want to contribute in making our faculty a welcoming place to study, advance science, and work"
I'm an Assistant Professor with focus on Education at the Multimedia Computing Group of the Intelligent Systems department of EEMCS where I do research on improving speech recognition in adverse conditions. I received my PhD degree from TuDelft in 2013 and worked afterwards with research groups from Google and Huawei, as well as in other small companies in the Netherlands. I specialize in acoustical signal processing. In particular modeling and simulation of "multi-channel room impulse responses", which is a characterization of how the sound field evolves in a given place. This has many uses in our modern society, from improved speech recognition in voice- controlled "intelligent personal assistants", to better noise reduction in your mobile phone, or to be able to understand the playing message at the train station even when the train arrives. I currently maintain active collaboration with industrial partners Bang & Olufsen, Alpine, and Kien on related research topics.
I also have a heart for education. I’m motivated into pursuing an education vision that could be described as “emphatic and inclusive scientific education”. A vision that incorporates ways to getting to know and understand better our societal context and ourselves, our students and each other, to more effectively give students the long-lasting skills and values they need to cope with the challenges of modern society. I worked in the past as an educator in our faculty where I could gather insights into the current opportunities and challenges of our educational methods and programs.
Apart from being an educator and a scientist I consider myself an idealist and feminist, dreaming and striving at making education and science accessible and inclusive for everyone. I'm member of the faculty's Diversity and Inclusion Team (EDIT) and I'm member of the faculty's Work's Council (OdC).
Want to talk about any of these subjects? Do not hesitate in contacting me!
Publications
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2024
Block-Based Perceptually Adaptive Sound Zones With Reproduction Error Constraints
Niels De Koeijer / Martin Bo Moller / Jorge Martinez / Pablo Martinez-Nuevo / Richard C. Hendriks
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2024
Reduced complexity for sound zones with subband block adaptive filters and a loudspeaker line array
Martin B. Møller / Jorge Martinez / Jan Østergaard
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2024
The Graphene Squeeze-Film Microphone
Marnix P. Abrahams / Jorge Martinez / Peter G. Steeneken / G.J. Verbiest
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2023
Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
Changheng Li / Jorge Martinez / Richard Christian Hendriks
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2022
Low Complex Accurate Multi-Source RTF Estimation
Changheng Li / Jorge Martinez / Richard C. Hendriks
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Courses
Onderwijs 2024
Onderwijs 2023
Onderwijs 2022
Onderwijs 2021
- Geïntegreerde Schakelingen
- EPO-3: Ontwerp een Chip
- EPO-4: "KITT" zelfsturende…
- EPO-4: "KITT" zelfsturende…
- Telecommunicatie A
- Information Theory
- Estimation and Detection
Onderwijs 2020
- Matlab Fundamentals
- Geïntegreerde Schakelingen
- Estimation and Detection
- EPO-4: "KITT" zelfsturende…
- Information Theory
- EPO-3: Ontwerp een Chip
- EPO-4: "KITT" zelfsturende…
- Telecommunicatie A
Onderwijs 2019
- EPO-3: Ontwerp een Chip
- EPO-4: "KITT" zelfsturende…
- Matlab Fundamentals
- Telecommunicatie A
- Information Theory
- Estimation and Detection
Onderwijs 2018
Onderwijs 2017
Onderwijs 2015
Onderwijs 2014
Onderwijs 2013
News
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2024-05-13
Kinderen uit sociaaleconomisch achtergestelde buurten laten kennismaken met STEM-onderwijs en beroepstrajecten
Verscheen in: TU Delft
Thesis Projects
Open Proposals
1. Contact-less palm recognition for Bio-Metric login credential system
Problem Statement
This thesis focuses on researching algorithms for video-based contact-less hand-palm recognition, across various lighting conditions with the aim to integrated it into a system that employs biometric authentication methods for auto-login (zero-interaction systems). This system is being developed for Elderly healthcare.
Objectives
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Conduct a literature research on state-of-the-art algorithms and applications regarding contact-less biometric data analysis (hand-palm detection) using video live-streams.
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Choose on possible algorithms candidates that are suitable for real-time embedded systems running on Single Board Computers (SBC).
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Research on improving the state-of-the-art algorithms to make them applicable in at different distances, different environmental light conditions, and crucially, suitable for parallelization, e.g., multiprocessing, multi-threading.
Additionally, you will show the applicability of your algorithm in a real setup by integrating it into an existing system, and (co)create the necessary modules to achieve this.
Expected Outcomes
The system should be deployable as a subsystem using a shell script and must be isolated by an API from the rest of the system, with which it integrates this as an module into an existing backend and frontend. The algorithm should have a high accuracy and almost real-time performance.