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Edwin Salcedo



I'm a Lecturer and Research Engineer at the Bolivian Catholic University "San Pablo", in the Department of Mechatronics Engineering. There, I study computer intelligence through software and hardware integration, focusing on building ML algorithms for sensor data and computer vision. I also hold an Invited Lecturer position at Gabriel Rene Moreno Autonomous University. I completed an MSc in Advanced Software Engineering at the University of Sheffield and a PgDip in Machine Learning and Big Data at the Pontifical Catholic University of Chile. Read more about my background here.

News

  • Lecturer in Computer Vision
  • Research Engineer
  • Data Scientist
  • Systems Engineer
Edwin Salcedo PUBLICATIONS PROJECTS

About Me

  • Years of Experience in Tech

    12
  • Publications

    8
  • Citations

    50
  • Some Stats
Bio Research Interests Skills

Bio

Edwin Salcedo is a Lecturer and Research Engineer at the Bolivian Catholic University "San Pablo" (UCB), in the Department of Mechatronics Engineering, where he studies computer intelligence through software and hardware integration. His research focuses on designing and building computer vision systems that can run efficiently on resource-constrained platforms. In particular, he is interested in designing hardware-aware optimisations for deep learning and multi-modal learning workloads, enabling efficient inference when consuming data in the form of images, audio, and graphs. He has received over 14 awards and grants for his research projects, of which the most important are shown below.


Previously, he completed my B.Sc. in Systems Engineering at UCB in 2015 and an M.Sc. in Advanced Software Engineering at The University of Sheffield (United Kingdom) in 2018, where he later worked as a Research Software Engineer and Graduate Teaching Assistant. He also completed an MBA in Digital Businesses at the Valencia Poliytechnic Valencia (Spain) and a PgDip in Machine Learning and Big Data at Pontifical Catholic University of Chile (Chile).


Outside of the academic arena, he has extensive experience as a software engineer, IT manager, and team lead. He also worked as a Data Scientist, Research Consultant, and Machine Learning Specialist for Hivos, Swisscontact, and Tigo, respectively, until August 2021.


Skills

MLOPs
95%
Computer Vision
95%
Data Science
85%
Natural Language Processing
55%
Internet of Things
75%

Research Interests

Computer Vision

I'm fascinated by computer vision because it enables machines to "see" and interpret the world, opening up endless possibilities for innovation in fields like healthcare, and smart cities.

Deep Learning

I find Deep Learning captivating due to its ability to uncover intricate patterns in vast amounts of data, leading to breakthroughs in image recognition.

Edge Computing

I'm intrigued by Edge Computing because it brings computation closer to the data source, enabling real-time processing, reduced latency, and increased efficiency.

Generative Artificial Intelligence

I'm amazed by Generative Artificial Intelligence because it empowers machines to create new content and ideas, pushing the boundaries of AI assistance in areas like healthcare.

Multi-Modal Learning

I find multi-modal learning fascinating because it allows machines to integrate and understand information from different sources, like images and text, leading to a more holistic and human-like comprehension of the world.

Deep Reinforcement Learning

I'm intrigued by DRL because of its capabilities to learn through trial and error to achieve complex goals in dynamic environments.

MIT Innovator Under 35 (2017)

Awarded for my work in medical imaging and virtual reality.

Chevening Scholarship (2017/2018)

Sponsored by the British government to pursue further studies in Advanced Software Engineering.

National Science Prize (2016 & 2023)

Awarded two times for my work in medical imaging.

TensorFlow Faculty Award (2021)

Awarded to teach and research computer vision for early wildfire detection.

OpenCV AI Competition Winner (2022)

First Prize winner team among 120 teams worldwide.

Canadian Fund for Local Initiatives (2024)

Awarded to research about heavy metal detection using unmanned surface vehicles.

Complete Resume

Working at "Bolivian Catholic University "San Pablo""

2020 - Present

Lecturer · Research Engineer
Computer Vision/Machine Learning/Software Engineering/Teaching

Modules Taught: DIT-500 Internet of Things Fundamentals, IMT-344 Computer Vision, DAA-530 Unsupervised Machine Learning, SIS-341 Intelligent Systems.
Developing ML algorithms for computer vision and IoT systems.

Education

Publications

2025

ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring Conference Paper

Abstract: Early detection of forest fires is crucial to minimizing the environmental and socioeconomic damage they cause. Indeed, a fire's duration directly correlates with the difficulty and cost of extinguishing it. For instance, a fire burning for 1 minute might require 1 liter of water to extinguish, while a 2-minute fire could demand 100 liters, and a 10-minute fire might necessitate 1,000 liters. On the other hand, existing fire detection s Continue reading...

Author(s): Kenneth Bonilla Ormachea, Horacio Cuizaga, Edwin Salcedo, Sebastian Castro, Sergio Fernandez, Misael Mamani

ICARA 2025, Zagreb, Croatia

Oral presentation

2024

Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures Journal Article

Abstract: Computer vision-based gait recognition (CVGR) is a technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Beyond its applications in biometrics, CVGR holds significant potential for healthcare and human–computer interaction. Current CVGR systems often transmit collected data to a cloud server for machine learning-based gait pattern recognition. While effec Continue reading...

Author(s): Edwin Salcedo

Journal of Imaging

Towards Continuous Floating Invasive Plant Removal Using Unmanned Surface Vehicles and Computer Vision Journal Article

Abstract: Deficient domestic wastewater management, industrial waste, and floating debris are some leading factors that contribute to inland water pollution. The surplus of minerals and nutrients in overly contaminated zones can lead to the invasion of different invasive weeds. Lemnoideae, commonly known as duckweed, is a family of floating plants that has no leaves or stems and forms dense colonies with a fast growth rate. If not controlled, duc Continue reading...

Author(s): Edwin Salcedo, Yamil Uchani, Misael Mamani, Mariel Fernandez

IEEE Access

Code

2023

Edge AI-Based Vein Detector for Efficient Venipuncture in the Antecubital Fossa Conference Paper

Abstract: Assessing the condition and visibility of veins is a crucial step before obtaining intravenous access in the antecubital fossa, which is a common procedure to draw blood or administer intravenous therapies (IV therapies). Even though medical practitioners are highly skilled at intravenous cannulation, they usually struggle to perform the procedure in patients with low visible veins due to fluid retention, age, overweight, dark skin tone Continue reading...

Author(s): Edwin Salcedo, Patricia Peñaloza

MICAI 2023, Mérida, México

Code Preprint Oral presentation

2022

A Novel Road Maintenance Prioritisation System Based on Computer Vision and Crowdsourced Reporting Journal Article

Abstract: Maintenance of critical infrastructure is a costly necessity where developing countries often struggle to deliver timely repairs. The transport system acts as the arteries of any economy in development, and the formation of potholes on roads can lead to injuries and loss of lives. Recently, several countries have enabled pothole reporting platforms for their citizens, so that repair work data can be centralised and visible for everyone. Continue reading...

Author(s): Edwin Salcedo, Mona Jaber, Jesús Requena Carrión

Journal of Sensor and Actuator Networks

Projects

  • All
  • IoT
  • Machine Learning
  • Front-end
  • Back-end
  • Algorithms
  • NLP
View

HackCities: Urban Innovation

CONTRIBUTIONS ON GITHUB

Team

Undergraduate Students


Belen Lopez (Feb 2024 - Current)
Research interests: Automation, IoT, Healthcare
Institution: Universidad Católica Boliviana "San Pablo"
Contact: abigail.lopez.t@ucb.edu.bo


Sandro Murillo (May 2025 - Current)
Research interests: Computer Vision, Flood Prediction, Disaster Monitoring
Institution: Universidad Católica Boliviana "San Pablo"
Contact: sandro.murillo@ucb.edu.bo

Alumni


Helen Dorado Reynolds, Master's Student (Data Science and Big Data), Universidad Atónoma Gabriel Rene Moreno, 2024

Davy Rojas Yana, Master's Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2024

Kenneth Bonilla Ormachea, Research Intern, Universidad Católica Boliviana "San Pablo", 2024

Pamela Patzi Chavez, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2024

Rodrigo Herrera Renteria, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2024

Juan Carlos Valencia, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2024

Mauricio Figueroa Tórrez, Research Intern, Universidad Católica Boliviana "San Pablo", 2023

Tracy Loza Maldonado, Research Intern, Universidad Católica Boliviana "San Pablo", 2023

Maximilian Vino Sumi, Undergraduate Student (Systems Engineering), Universidad Católica Boliviana "San Pablo", 2023

Sergio Fernandez Testa, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2023

Melissa Chiri Guzman, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2022

Carolina Vargas Ecos, Undergraduate Student (Biomedical Engineering), Universidad Católica Boliviana "San Pablo", 2022

Patricia Peñaloza Sola, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2022

Wilber Rojas Fernandez, Undergraduate Student (Mechatronics Engineering), Universidad Católica Boliviana "San Pablo", 2021

💡 LET'S COLLABORATE!

I feel lucky to work with such a wide variety of skilled students and colleagues, and I'm excited to continue doing so in the future. I have vacancies for both new research interns and students completing their final undergraduate or postgraduate projects.

CONTACT DETAILS

Teaching

Teaching (2025)


IMT-344 Computer Vision, Lecturer @Bolivian Catholic University (UCB) (Spring & Fall semester)

My mission is to prepare students to thrive in the Innovation Age by teaching them to think at three levels:

WHAT: What is the basic concept?​
SO WHAT: What is its relevance and what is it related to?
NOW WHAT: What can I do with what I have learned to find solutions to unmet needs?

I aim to help students understand the fundamental theory of computer vision algorithms and implement the concepts with recent technologies such as OpenCV, PyTorch, and TensorFlow. I combine a variety of learning activities (paper discussions, tutorials, lectures, quizzes, and a final project) to enhance students' learning experience and outcomes. As a result, students have managed to develop a COVID-19 detection system from X-Ray images, a virtual board for remote math classes, and a machine vision systems for good quality coffee grain recognition.


Data Modelling I, Lecturer @Universidad Mayor de San Andrés (UMSA) (Postgraduate course)


BDS-253 Data Mining, Lecturer @UCB (Spring semester)


MLOps and AI Deployment (E4, E5), Lecturer @Gabriel Rene Moreno Autonomous University (UAGRM) (Postgraduate course)


Software Engineering Foundations for Data Scientists (E4), Lecturer @UAGRM (Postgraduate course)

Taught Courses


2024

• IMT-344 Computer Vision, Lecturer @UCB (Spring & Fall semester), 2024

• SIS-341 Intelligent Systems, Lecturer @UCB (Fall semester), 2024

• DAD-521 Fundamentals of Artificial Intelligence, Lecturer @UCB (Postgraduate course), 2024

• DEA-504 Data Science and Big Data, Lecturer @UCB (Postgraduate course), 2024

• BDS-243 Data Mining, Lecturer @UCB (Spring semester), 2024

• MLOps and AI Deployment (E3), Lecturer @UAGRM (Postgraduate course), 2024

2023

• Software Engineering Foundations for Data Scientists (E3), Lecturer @UAGRM (Postgraduate course), 2023

• MLOps and AI Deployment (E1, E2), Lecturer @UAGRM (Postgraduate course), 2023

• DAA-530 Unsupervised Machine Learning, Lecturer @UCB (Postgraduate course), 2023

• IMT-344 Computer Vision, Lecturer @UCB (Spring & Fall semester), 2023

• SIS-341 Intelligent Systems, Lecturer @UCB (Spring semester), 2023

• BDS-243 Data Mining, Lecturer @UCB (Spring semester), 2023

2022

• Software Engineering Foundations for Data Scientists (E2), Lecturer @UAGRM (Postgraduate course), 2022

• Unsupervised Machine Learning (E1, E2), Lecturer @UAGRM (Postgraduate course), 2022

• IMT-344 Computer Vision, Lecturer @UCB (Spring & Fall semester), 2022

• Bootcamp: Computer Vision for the SDGs, Lecturer @UCB (3-Month Workshop), June 2022

2021

• AI-based Chatbot Development with Natural Language Processing, Lecturer @GAMLP (2-Week Workshop), Sept 2021

• DAC-520 Computer Vision for Industrial Applications, Lecturer @UCB (Postgraduate course), 2021

• IMT-344 Computer Vision, Lecturer @UCB (Spring & Fall semester), 2021

2020

• DIT-500 Internet of Things, Lecturer @UCB (Postgraduate course), 2020

• SIS-111 Programming Fundamentals, Lecturer @UCB (Spring semester), 2020

• DAA-530 Unsupervised Machine Learning, Lecturer @UCB (Postgraduate course), 2020

TA Work (Past)


• COM-3505 Internet of Things, Teaching Assistant @The University of Sheffield (Fall term), 2018

• INF-105 Programming I, Teaching Assistant @UCB (Fall semester), 2013

• MAT-132 Calculus I, Teaching Assistant @UCB (Fall semester), 2013

• INF-108 Programming II, Teaching Assistant @UCB (Spring semester), 2013