Publications

Theses

• A. Fuentes. Efficient Deep Learning Techniques for Recognition and Glocal Description of Plant Anomalies and Symptoms. Ph.D. thesis. Jeonbuk National University, South Korea. 2019. (Available here)

• A. Fuentes. Efficient Motion Field Estimation in Dynamic Environments based on Warping Multilevel Optical Flow. Master thesis. Jeonbuk National University, South Korea, 2016. (Available here)

• A. Fuentes. Design and Implementation of a Biodigester with an Automatic Control System to Generate Biogas. Bachelor thesis. Mechatronics Engineering, Tecnica del Norte University, Ecuador, 2012. (Available here)

Peer-reviewed Publications

• J. Yang, T. Liu, S. Yoon, A. Fuentes, Y. Wu. Advanced AI Methods for Plant Disease and Pest Recognition. Frontiers in Plant Science, vol. 15, May 2024. doi: 10.3389/fpls.2024.1434320.

• Y. Meng, S. Yoon, S. Han, A. Fuentes, J. Park, Y. Jeong, and D.S. Park. Improving Known–Unknown Cattle’s Face Recognition for Smart Livestock Farm Management. Animals, 2023, 13, 3588. doi: 10.3390/ani13223588. 

• A. Fuentes, S. Yoon, J. Park, J. Lee, M.H. Lee, and D.S. Park, A. Fuentes, S. Yoon, J. Lee, T. Kim, D.S. Park. Spatio-temporal characterization of crop growth with multi-category data based on Deep Learning. Acta Horticulturae, vol 1, 2023. doi:  10.17660/ActaHortic.2023.1377.6

• J. Dong, A. Fuentes, S. Yoon, H. Kim., and D.S. Park. An Iterative Noisy Annotation Correction Model for Robust Plant Disease Detection. Frontiers in Plant Science, vol. 14, Oct. 2023. doi: 10.3389/fpls.2023.1238722.

• J. Dong, A. Fuentes, S. Yoon, H. Kim., Y. Jeong, and D.S. Park. A New Deep Learning-based Dynamic Paradigm Towards Open-World Plant Disease Detection. Frontiers in Plant Science, vol. 14, Sept. 2023.  doi: 10.3389/fpls.2023.1243822.

• M. Xu, H. Kim, J. Yang, A. Fuentes, Y. Meng, S. Yoon, and D.S. Park. Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning. Frontiers in Plant Science, vol. 14, Sept. 2023. doi: 10.3389/fpls.2023.1225409.

• R. Ma, A. Fuentes, S. Yoon, W. Lee, S. C. Kim, H. Kim, and D. S. Park. Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds. Frontiers in Plant Science, vol. 14, Ago. 2023. doi: 10.3389/fpls.2023.1211075. Journal IF: 6.627.

• S. Han, A. Fuentes, S. Yoon, Y. Jeong, H. Kim, and D.S. Park. Deep Learning-based Real-time Multi-Cattle Tracking in Crowded Livestock Farming using Video. Computer and Electronics in Agriculture, vol. 212, n0. 108044, Sep 2023. doi: 10.1016/j.compag.2023.108044. Journal IF: 8.33.

• A. Fuentes, S. Han, M. F. Nasir, J. Park, S. Yoon, and D.S. Park. Multiview Monitoring of Individual Cattle Behavior based on Action Recognition in Closed-Barns using Deep Learning. Animals, vol. 13, no. 2020, June 2023. doi: 10.3390/ani13122020. Journal IF: 3.

• A. Fuentes, S. Yoon, J. Lee,  T. Kim, D. S. Park. Deep learning-based open set domain adaptation for plant disease recognition across multiple greenhouse scenarios. Acta Horticulturae. 1360, 61-68, 2023. doi: 10.17660/ActaHortic.2023.1360.8

• M. Xu, S. Yoon, A. Fuentes, and D.S. Park. A Comprehensive Survey of Image Augmentation Techniques for Deep Learning. Pattern Recognition. Jan. 2023. doi: 10.1016/j.patcog.2023.109347. Journal IF: 8.

• J. Dong, J. Lee, A. Fuentes, M. Xu, S. Yoon, M.H. Lee, and D.S. Park. Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance. Frontiers in Plant Science, 13:1037655, Dec. 2022. doi: 10.3389/fpls.2022.1037655.  Journal IF: 6.627.

• S. Han, A. Fuentes, S. Yoon, J. Park and D.S. Park. Multi-Cattle tracking with appearance and motion models in closed barns using deep learning. Smart Media Journal, Sept. 2022. doi: 10.30693/SMJ.2022.11.8.84

• J. Dong, A. Fuentes, S. Yoon, T. Kim, and D.S. Park. Towards Improved Performance on Plant Disease Recognition with Symptoms Specific Annotation. Smart Media Journal, May 2022. doi: 10.30693/SMJ.2022.11.4.38

• M. Xu, S. Yoon, A. Fuentes, J. Yang, and D.S. Park. Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition. Frontiers in Plant Science, 12:773142, 2022. doi: 10.3389/fpls.2021.773142. Journal IF: 6.627.

• A. Fuentes, S. Yoon, M. Lee, D.S. Park. Improving Accuracy of Tomato Plant Disease Diagnosis based on Deep Learning with Explicit Control of Hidden Classes. Frontiers in Plant Science, 12:682230, 2021. doi: 10.3389/fpls.2021.682230. Journal IF: 6.627.

• A. Fuentes, S. Yoon, T. Kim, D.S. Park. Open Set Self and Across Domain Adaptation for Tomato Disease Recognition with Deep Learning Techniques. Frontiers in Plant Science, 12:758027, 2021. doi: 10.3389/fpls.2021.758027. Journal IF: 6.627.

• M. Xu, J. Lee, A. Fuentes, D.S. Park, J. Yang, S. Yoon. Instance-Level Image Translation with a Local Discriminator. IEEE Access. 2021. doi: 10.1109/ACCESS.2021.3102263.  Journal IF: 3.9. 

• A. Fuentes, S. Yoon, J. Park, and D. S. Park. Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information. Computer and Electronics in Agriculture. 2020. doi: 10.1016/j.compag.2020.105627. Journal IF: 8.33.

• A. Fuentes, S. Yoon, and D. S. Park. Deep Learning-Based Phenotyping System with Glocal Description of Plant Anomalies and Symptoms. Frontiers in Plant Science, 10:1321, 2019. doi: 10.3389/fpls.2019.01321. Journal IF: 6.627.

• H. Nazki, S. Yoon, A. Fuentes, and D. S. Park. Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition. Computer and Electronics in Agriculture, vol. 168, no. 105117, 2020. doi: 10.1016/j.compag.2019.105117. Journal IF: 8.33. 

• A. Fuentes, S. Yoon, and D. S. Park. Spatial Multilevel Optical Flow Architecture-based Dynamic Motion Estimation in Vehicular Traffic Scenarios. KSII Transactions on Internet and Information Systems, vol. 12, no. 12, pp. 5978-599. 2018, doi: 10.3837/tiis.2018.12.020. Journal IF: 1.5. 

• A. Fuentes, S. Yoon, J. Lee, and D. S. Park. High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System with Refinement Filter Bank. Frontiers in Plant Science, 9:1162, 2018. doi: 10.3389/fpls.2018.01162. Journal IF: 6.627.

• A. Fuentes, S. Yoon, S. C. Kim, and D. S. Park. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition. Sensors 2017, vol. 17, no. 9, 2017. doi: 10.3390/s17092022. Journal IF: 3.9. 

Manuscripts in advance preparation

• J. Dong, A. Fuentes, H. Zhou, S. Yoon, H. Kim, Y. Jeong, and D.S. Park. Embracing Uncertainty: Visual Prompt for Unknown Plant Disease Recognition. (in-review).

• S. Han, A. Fuentes, J. Park, S. Yoon, J. Yang, Y. Jeong, and D.S. Park. Long-term cattle face recognition for indoor precision livestock farming. (in-review).

Conference Publications

International

• A. Fuentes, J. Dong, S. A. Asgher, S. Yoon, D. S. Park, Multivariable Plant Growth Monitoring Using Deep Learning Techniques for Smart Greenhouses. 6th CIGR International Conference 2024, Jeju Island, Korea, May 19-23, 2024.

• A. Fuentes, S Han, M. F. Nasir, J. Park, S. Yoon, and D. S. Park,  Enhancing Cattle Behavior Monitoring through Multiview Surveillance and Deep Learning-Based Action Recognition in Closed Barn. 6th CIGR International Conference 2024, Jeju Island, Korea, May 19-23, 2024.

• J. Dong, A. Fuentes, J. Lee, S. Yoon, and D. S. Park, Advancing Plant Health Diagnostics: Open-World Detection Through Dynamic Deep Learning. 6th CIGR International Conference 2024, Jeju Island, Korea, May 19-23, 2024.

• A. Fuentes, J. Dong, J. Lee, T. Kim, S. Yoon, and D. S. Park, Crop growth monitoring with time series data based on deep learning, GreenSys 2023 International Symposium on Organic Greenhouse Horticulture. Cancun, Mexico, Oct 22-27, 2023.

• M Xu, H. Kim, J. Yang, A. Fuentes, Y. Meng, S. Yoon, T. Kim, and D. S. Park. Embracing Limited and Imperfect Data: A Review on Plant Stress Recognition Using Deep Learning. American Society of Agricultural and Biological Engineers (ASABE). 2023 Annual International Meeting, Omaha, USA, Jul 09-12, 2023.

• M. F. Nazir, A. Fuentes, S. Han, J. Park, S. Yoon, and D. S. Park. Cattle Action Recognition with Multi-Viewpoint Cameras based on Deep Learning. The 29th International Workshop on Frontiers of Computer Vision. Yeosu, Korea, Feb 20-23, 2023. (paper).

• J. Dong, A. Fuentes, S. Yoon, T. Kim, and D. S. Park. Annotation Consistency Analysis for Plant Disease Detection. International Conference on Smartmedia (SMA), Saipan, USA, Oct 19-22, 2022. (Best paper award).

• S. Han, A. Fuentes, S. Yoon, Y. Jeong, and D. S. Park, Cattle Face Pose Estimation using Landmark Points for Smart Livestock Farming. International Conference on Smartmedia (SMA), Saipan, USA, Oct 19-22, 2022.

• J. Lee, C. Jeon, A. Fuentes, S. Yoon, S. Kee  D.S. Park, H.W. Choi. Development of AICAP: Artificial Intelligence-based Classifier of Antinuclear Antibody (ANA) Pattern. Laboratory Medicine Congress & Exhibition & KSLM 63rd Annual Meeting (LMCE 2022), Seoul Korea, Oct 26-28, 2022.

• A. Fuentes, S. Yoon, J. Park, J. Lee, M.H. Lee, and D.S. Park, A. Fuentes, S. Yoon, J. Lee, T. Kim, D.S. Park. Spatio-temporal characterization of crop growth with multi-category data based on Deep Learning. International Horticultural Congress 2022. Angers, France. Aug 14-20, 2022.

• A. Fuentes, S. Yoon, J. Lee, T. Kim, D.S. Park. Deep Learning-based Open Set Domain Adaptation for Plant Disease Recognition across Multiple Greenhouse Scenarios. International Horticultural Congress 2022. Angers, France. Aug 14-20, 2022.

• A. Fuentes, S. Yoon, and D. S. Park. Innovation in Smart Farming: Deep Learning-based Techniques for Plant Diseases Recognition. Workshop on "New Paradigm for Sustainable Development in Agriculture: Mathematics and AI Get into the Field".University of Milan, Italy, Dec 3, 2021.

• A. Fuentes, and D. S. Park. Competencias y Desarrollo Tecnológico, la era de la Inteligencia Artificial y su aporte a la solución de los problemas mundiales. Caso de estudio: La Agricultura Inteligente en Corea del Sur . En: J.L. Pantoja (ed.); Memorias del seminario desarrollo de competencias para la transformación hacia el cumplimiento de los objetivos del desarrollo sostenible – ODS, pp. 48 – 51, Tecnica del Norte University. Ibarra, Ecuador, Oct 16-30, 2021.

• A. Fuentes. Deep Learning-based spatio-temporal characterization of crop growth using multi-category data. First International Workshop on Deep Learning and Intelligent Robots in Agriculture. China - Korea. Oct 19, 2021. 

• A. Fuentes, S. Yoon, D. S. Park. Deep Learning-based Techniques for Plant Diseases Recognition in Real-Field Scenarios. In: Blanc-Talon, J., Delmas, P., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2020. Lecture Notes in Computer Science, vol 12002. Springer, Cham. Auckland, New Zealand. doi: 10.1007/978-3-030-40605-9_1.

• A. Fuentes, S. Yoon, J. Lee, L. Lee, and D. S. Park. Deep Learning-based Long-Term Face Recognition in Unconstrained Environments for Real-time Embedded Applications. ISITC 2019 International Symposium on Information Technology Convergence, Tianjin, China, Sept 2019. (Best Paper Award). 

• A. Fuentes, S. Yoon, J. Lee, and D. S. Park. Unsupervised Clustering-Based Deep Neural Network for Visual Identification of Plant Pathogens Interactions. ISITC 2018 International Symposium on Information Technology Convergence, Jeonju, South Korea, Oct 2018. 

• A. Fuentes, D. H. Im, S. Yoon, and D. S. Park. Spectral Analysis of CNN for Tomato Disease Identification. In: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L., Zurada J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science, vol 10245. Springer, Cham., Zakopane, Poland. May 2017. doi: 10.1007/978-3-319-59063-9_4. 

• A. Fuentes, S. Yoon, and D. S. Park. Understanding Convolutional Neural Network Architectures for Small-Scale Objects Identification - A CNN-Based System for Whiteflies Identification in Tomato Plants. ISITC 2017 International Symposium on Information Technology Convergence, Hebei, China, Oct 2017. (Best Paper Award) [link]

• A. Fuentes, J. Lee, Y. Lee, S. Yoon, and D. S. Park. Anomaly Detection of Plant Diseases and Insects using Convolutional Neural Networks. ELSEVIER Conference 2017 - The International Society for Ecological Modelling Global Conference 2017, Jeju, South Korea, Sept 2017. [link]

• Y. Nie, A. Fuentes, J. Park, S. Yoon, and D. S. Park. Human Pose Estimation with multi-stage Residual-like Deep Convolutional Neural Network. ELSEVIER Conference 2017 - The International Society for Ecological Modelling Global Conference 2017, Jeju, South Korea, Sept 2017. [website]

• A. Fuentes, H. Youngki, S. Yoon, Y. Lee, and D. S. Park. Characteristics of Tomato Plant Diseases - A study for tomato plant disease identification. ISITC 2016 International Symposium on Information Technology Convergence, Shanghai, China, Oct 2016. (Best Paper Award). [link]

• A. Fuentes, I. Jun, S. Yoon, and D. S. Park. Pedestrian Detection for Driving Assistance Systems based on Faster R-CNN. ISITC 2016 International Symposium on Information Technology Convergence, Shanghai, China, Oct 2016. [link]

• A. Fuentes, Y. Jeon, S. Yoon, and D. Sun Park. Motion field estimation in dynamic environments based on Warping Multi-level Optical Flow. ISITC 2016 International Symposium on Information Technology Convergence, Shanghai, China, Oct 2015. (Best Paper Award) [link]

Local (South Korea)

• J. Dong, A. Fuentes, J. Lee, S. Yoon, and D. S. Park, Reducing Cost: Semi-Supervised learning and Automatic Annotation. 2022 ICROS-KROS. Jeonbuk National University, Jeonju, South Korea, Dec 20, 2022.

• S. Han, A. Fuentes, J. Park, S. Yoon, and D. S. Park. Non-linear data association method for cow tracking. 2021 ICROS-KROS. Jeonbuk National University, Jeonju, South Korea, Dec 21, 2021.

• M. Xu, A. Fuentes, J. Park, S. Yoon, and D. S. Park. Intelligent Water and Nutrient Supply for Tomato Plant in Greenhouse. 2021 ICROS-KROS. Jeonbuk National University, Jeonju, South Korea, Dec 21, 2021.

• M. Yao, A. Fuentes, J. Lee, S. Yoon, and D. S. Park. Data augmentation for plant growth prediction in time-series.  2021 ICROS-KROS. Jeonbuk National University, Jeonju, South Korea, Dec 21, 2021.

• J. Dong, A. Fuentes, J. Lee, S. Yoon, and D. S. Park. Efficient detection with attention mechanism for paprika disease diagnose. 2021 ICROS-KROS. Jeonbuk National University, Jeonju, South Korea, Dec 21, 2021.

• A. Fuentes, J. Park, S. Yoon, and D. S. Park. Deep Learning-based Automatic Recognition of Cattle Emergency Behavior in Video. Proceedings of the KISM Spring Conference 2021, Busan, South Korea, Apr. 2021. link

• M. Yao, A. Fuentes, S. Yoon, and D. S. Park. Deep Learning-based plant leaf instance segmentation in spatio-temporal data. Proceedings of the KISM Spring Conference 2021, Busan, South Korea, Apr. 2021. (Best paper award) link

• A. Fuentes, S. Yoon, J. Lee, and D. S. Park. Efficiency Methods for Improving Deep Learning-based Plant Anomalies Recognition. KISM Fall Conference 2016, vol. 8, no. 1, pp. 180-183. Chungju, South Korea, Apr. 2019.

• A. Fuentes, J. Park, S. Yoon, and D. S. Park. Spatial Multilevel Optical Flow Architecture for Motion Estimation of Stationary Objects with Moving Camera. The Korea Contents Society, Mokpo, South Korea, vol. 16, no. 1, pp. 55-56. May 2018. (Best Paper Award). [link]

• A. Fuentes, S. Yoon, and D. S. Park. Vehicle type classification and pedestrian detection using Region-based Neural Networks. KISM Fall Conference 2016, vol. 5, no. 2, pp. 25-28, Gwanju, South Korea, Oct 2016. [link]

• A. Fuentes, S. Yoon, and D. S. Park. Visual Scene Segmentation using Optical Flow Field from dynamic environments. Proceedings of the KISM Spring Conference 2016, Busan, South Korea, vol. 5, no. 1, pp. 73-75, April 2016. [link]

• A. Fuentes, S. Yoon, and D. S. Park. Efficient moving objects segmentation in dynamic environments based on multi-level Optical Flow. Proceedings of the KISM Spring Conference 2015, Seoul, South Korea, vol. 4, no. 1, April 2015. [link]

Patents

Method for Diagnosis and Detection of Plant Diseases and Insects using Deep Learning  - 딥 러닝을 이용한 작물 병충해 검출 및 진단 방법 및 장치. Issued on Dec 21, 2018, Patent issuer: Korea, Number: 10-1933657. [link]

Method for cattle behavior automatic recognition and monitoring system based on Deep Learning - 딥러닝을 이용한 가축행동 자동인식 및 모니터링 시스템 및 그 방법. Issued on Jan 01, 2021. Patent issuer: Korea, Number: 10-2021-0007173. [link]

Invited Talks

• A. Fuentes. "Artificial Intelligence in Controlled-Environment Agriculture: Application, Challenges, and Opportunities". XV Forum on Advances in Thesis Research 2024.  Universidad Autonoma Chapingo, Mexico, March 19, 2024.

• A. Fuentes. "Deep Learning for Smart Agriculture: Application, Challenges, and Technical Opportunities".  Vellore Institute of Technology (VIT), India, Jan 18, 2024.

• A. Fuentes. "Artificial Intelligence for Sustainable Development". Instituto Tecnológico Superior Ibarra, Ecuador, Nov 1, 2023.

• A. Fuentes. "Artificial Intelligence for Sustainable Development with an emphasis on Environmental Education". Postgraduate Institute, Tecnica del Norte University, Ecuador, Oct 28, 2023.

• A. Fuentes. Workshop on "Machine Learning and IoT for Smart Greenhouses". GreenSys 2023 International Symposium on Organic Greenhouse Horticulture. Cancun, Mexico, Oct 22-27, 2023. 

• A. Fuentes. "Current Trends in Vision and Artificial Intelligence: Applications to Industrial Design". International Congress of Design (Design UCE), Central University of Ecuador, June 28, 2023.

• A. Fuentes. "Innovation in Smart Agriculture: Challenges and Opportunities in the Era of AI and IoT". 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN). Vellore Institute of Technology, India, May 5-6, 2023. 

• A. Fuentes. "Artificial Intelligence in Agriculture: Challenges and Practical Implementations". Universidad Tecnológica de Panamá, IEEE-R9 Panama, April 31, 2023.

• A. Fuentes. "Technological development and its contribution to education: current trends and future prospects". International Seminar on Quality of Education within the Framework of the SDGs. Tecnica del Norte University, Ecuador, March 31, 2023.

• A. Fuentes. “Deep Learning-based Plant Disease Recognition”. Wageningen University & Research (WUR), The Netherlands, Oct 27, 2022.

• A. Fuentes. “Deep Learning and IoT for Smart Agriculture”. Faculty Development Program on Recent Advances in Optical Communication and Wireless Networks, SRM University, India, May 2022.

• A. Fuentes. “El Enfoque Educativo en Corea del Sur: Estrategias de enseñanza e investigación”. I Jornadas de Capacitación y Fortalecimiento de la Gestión Docente. Yachay Tech University, Ecuador, Feb 23, 2022.

• A. Fuentes. “Deep Learning and Computer Vision”. Tecnica del Norte University, Ecuador, Jan 5, 2022.

• A. Fuentes. “New Paradigm for Sustainable Development: Artificial Intelligence and its Applications”. Graduate School of the Tecnica del Norte University, Ecuador, Jan 7, 2022.

• A. Fuentes. “Innovation in Smart Farming: Deep Learning-based Techniques for Plant Diseases Recognition”. Workshop on "New Paradigm for Sustainable Development in Agriculture: Mathematics and AI Get into the Field". University of Milan, Italy, Dec 3, 2021.

• A. Fuentes. “Deep Learning-based spatio-temporal characterization of crop growth using multi-category data”. First International Workshop on Deep Learning and Intelligent Robots in Agriculture. Speaker - Committee member. China-South Korea, Jeonbuk National University, Oct 29, 2021.

• A. Fuentes. “Competences and technological development. The era of Artificial Intelligence”. Seminar on the development of competencies for the transformation towards the achievement of the Sustainable Development Goals. Tecnica del Norte University, Oct 22, 2021.

• A. Fuentes. “The role of AI in achieving the Sustainable Development Goals”. Graduate School of the Tecnica del Norte University, Ecuador, Jul 10, 2021.

• A. Fuentes. “Deep Learning Meta-architectures - feature extractors and object detectors”. Rural Development Administration of Korea (RDA), Korea, June 24, 2021.

• A. Fuentes. “Artificial Intelligence and its Application to Agriculture”.  IEEE RAS Tecnica del Norte University, Ecuador, Dec 2020.

• A. Fuentes. “Investigación como aporte al desarrollo social y personal del investigador”, PUCE, Ecuador, Nov 2020.

• A. Fuentes. “Deep Learning-based Real-time Recognition and Glocal Description of Plant Anomalies and Symptoms”. University of Bonn, Germany, Mar 6, 2020.

• A. Fuentes. “State-of-the-Art deep feature extractors and detectors”. Tianjin University, China, Jul 2019.

• A. Fuentes. “Artificial Intelligence: Challenges and Opportunities”. Postgraduate Institute of the Tecnica del Norte University, Ecuador, Feb 2018.

Other works

Renewable energy

• A. Fuentes. Biodigester with an automatic control system to generate biogas energy. Inter. DAAD Summer School 2012 – Env. Manag. Info. Syst. for Sust. Develop., University of Oldenburg, Germany, 2012.

• A. Fuentes. Applied renewable energies in developing countries. A study case of Ecuador. Inter. DAAD Summer School 2011 – Appl. Solar Tech. in Devel. Countr., University of Kassel, Germany, 2011.

• A. Fuentes, and M. Jami. Biodigestor con sistema de control automático para la generación de biogás. IX National Meeting of Electronics and Mechanical Engineering, Tecnologica Equinoccial University, Ecuador, 2011. (Paper award)

Sustainable development

• A. Fuentes. Competencias y desarrollo tecnológico, la era de la inteligencia artificial y su aporte a la solución de los problemas mundiales – Caso de estudio: La agricultura inteligente en Corea del Sur. pp. 48 – 51. En: J.L. Pantoja (ed.); Memorias del seminario desarrollo de competencias para la transformación hacia el cumplimiento de los objetivos del desarrollo sostenible – ODS. 16 – 30 Oct. Universidad Técnica del Norte – UTN. Ibarra, Ecuador, 2021. [link]

• E. Mejia, Fernandez G., M. Vinueza, and A. Fuentes. Small-scale timber harvesting. In: Mejía E and Pacheco P. (eds)  Forest use and timber markets in the Ecuadorian Amazon, Occasional Paper 111 (CIFOR),  Bogor, Indonesia. 2014. doi:  10.17528/cifor/004290  [link]

• E. Mejia, Fernandez G., M. Vinueza, and A. Fuentes. El aprovechamiento forestal en pequeña escala. In: Mejía E y Pacheco P. 2013. Aprovechamiento forestal y mercados de la madera en la Amazonía Ecuatoriana, Occasional Paper 97 (CIFOR), Bogor, Indonesia, 2013. doi:  10.17528/cifor/004290. [link]

• A. Fuentes, L. Bartels, and P. Aguirre. Sustentabilidad y tu, una guia para el desarrollo sustentable. (Sustainability and you, guidelines for Sustainable Development), Sustainable University Project, Technical University of the North, Ecuador, 2012. 

Undergraduate Thesis Supervision (Ecuador)

• A. Fuentes, E. Gabriela, C. Acosta, and J. Nazate, "Sistema de seguridad para la conduccion de vehiculos mediante analisis facial utilizando vision artificial," Int. Congr. of Mechatronics Eng. and Automation (CIIMA 2013), Bogota, Colombia, Oct, 2013. 

• E. Cupueran, and A. Fuentes, "Implementacion de un dispositivo de seguridad para el bloqueo de encendido de un vehiculo mediante alcochek," Mechatronics Engineering, Technical University of the North, Ecuador, Jul 2013. [link]

• N. Puthchert, and A. Fuentes, "Modulo para calibracion y analisis de caracteristicas estaticas y dinamicas de sensores de temperatura," Mechatronics Enginnering, Technical University of the North, Ecuador, Feb 2014.  [link]

• J. Tapia, and A. Fuentes, "Modulo didactico para el modelamiento de sistemas lineales con Matlab y tarjeta compatible USB," Mechatronics Enginnering, Technical University of the North, Ecuador, Dec 2013. [link]

• F. Valencia, and A. Fuentes, "Dosificadora y selladora de pulpa de fruta," Mechatronics Enginnering, Technical University of the North, Ecuador, May 2013.  [link]

• W. Vargas, and A. Fuentes, "Automatizacion de una maquina dosificadora de liquidos Groeninger DFV-6001," Mechatronics Enginnering, Technical del Norte University, Ibarra, Ecuador, Dec 2013. [link]

• F. Montalvo, and A. Fuentes, "Automatizacion de un deposito lacto fermentador para la elaboracion de yogurt," Mechatronics Enginnering, Technical University of the North, Ecuador, Dec 2013. [link]