HEYDY CASTILLEJOS-FERNANDEZ

Results-oriented professional with over 15 years of extensive experience in research and teaching, specializing in Python programming, AI techniques, and advanced image and signal processing. Demonstrated expertise in crafting and implementing innovative methodologies, resulting in numerous peer-reviewed journal articles and successful securing of funding for future research initiatives. A detail-oriented team player known for strong organizational skills, excelling in managing multiple projects concurrently with a keen emphasis on precision. Eager to contribute technical prowess and research acumen in a dynamic and innovative environment.

Project Title: Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

Project position: Leader

Project Description: Led a multidisciplinary team in the research and development of advanced image processing techniques for dermoscopic image segmentation. The project aimed to enhance the accuracy of skin lesion detection and analysis through the integration of wavelet transform and fuzzy algorithms. Key activities and achievements include:

This project allowed for the development of cutting-edge image processing techniques and contributed to the advancement of dermatological research. It also demonstrated strong project management and collaboration skills in leading a multidisciplinary team towards achieving the project's objectives.

Project Title: Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

Project position: Collaborator

Project Description: Collaborated as a key team member on a research project focused on the development of an innovative approach to skin lesion classification, specifically targeting melanoma and nevus lesions. The project aimed to enhance classification accuracy by fusing handcrafted and deep learning features using mutual information measures. My contributions to the project included:

This project showcased your ability to collaborate effectively in a multidisciplinary team, conduct advanced research, and apply both handcrafted and deep learning-based techniques to address a critical healthcare challenge. It demonstrated your commitment to advancing the field of medical image analysis and contributed to the development of innovative solutions for melanoma detection and skin lesion classification.

Project Title: Written Documents Analyzed as Nature-Inspired Processes

Project position: Collaborator

Project Description: Contributed as a collaborator in a research project exploring innovative approaches to analyze written documents using nature-inspired processes. The project aimed to bridge the gap between natural language understanding and computational linguistics by drawing inspiration from biological and ecological systems. Key responsibilities and accomplishments include:

This collaborative project pushed the boundaries of natural language processing by leveraging insights from nature-inspired processes. It demonstrated strong teamwork, algorithmic design, and research skills while contributing to the advancement of the field's understanding of language analysis.

• Melanoma and nevus skin lesion classification using handcraft and deep learning feature fusion via mutual
  information measures. Jose-Agustin Almaraz-Damian, Volodymyr Ponomaryov, Sergiy Sadovnychiy, Heydy
  Castillejos-Fernandez,Entropy 22 (4), 484
• Wavelet transform fuzzy algorithms for dermoscopic image segmentation. H Castillejos, V Ponomaryov, L
  Nino-de-Rivera, V Golikov Computational and mathematical methods in medicine 2012
• An intelligent system for the diagnosis of skin cancer on digital images taken with dermoscopy. H Castillejos-
  Fernández, O López-Ortega, F Castro-Espinoza, Acta Polytechnica Hungarica 14 (3), 169-185
• Fuzzy filtering method for color videos corrupted by additive noise. VI Ponomaryov, H Montenegro-Monroy, L
  Nino-de-Rivera, H Castillejos The Scientific World Journal 2014
• Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random
  Walks—We Remember, as Along Came Writing—T. Holopainen. O López-Ortega, O Pérez-Cortés, H Castillejos-
  Fernández, ... Applied Sciences 10 (18), 6354
• Fuzzy image segmentation algorithms in wavelet domain. H Castillejos, V Ponomaryov Fuzzy Logic–Algorithms,
  Techniques and Implementations, 127-146
• Image segmentation framework using wavelet transform. H Castillejos, V Ponomaryov World Automation
  Congress
• Image segmentation in wavelet transform space implemented on DSP. VI Ponomaryov, H Castillejos, R
  Peralta-Fabi Real-Time Image and Video Processing 2012 8437, 20-31
• Human gait analysis based on automatic recognition: A review. JC Gonzalez-Islas, OA Dominguez-Ramirez, H
  Castillejos-Fernandez, ... Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI
• A Proposal for Human Gait Analysis. JC Gonzalez-Islas, OA Dominguez-Ramirez, O Lopez-Ortega, ... 4 th
  Pan-American Interdisciplinary Conference PIC 2019, 137
• Computer-aided diagnostic approach of dermoscopy images acquiring relevant features. H Castillejos-Fernández,
  A Franco-Arcega, O López-Ortega Applications of Digital Image Processing XXXIX 9971, 451-458
• Image segmentation in wavelet domain using fuzzy logic. H Castillejos, V Ponomaryov, R Peralta 2011 8th
  International Conference on Electrical Engineering

Project Title: Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

Project position: Leader

Project Description: Led a multidisciplinary team in the research and development of advanced image processing techniques for dermoscopic image segmentation. The project aimed to enhance the accuracy of skin lesion detection and analysis through the integration of wavelet transform and fuzzy algorithms. Key activities and achievements include:

This project allowed for the development of cutting-edge image processing techniques and contributed to the advancement of dermatological research. It also demonstrated strong project management and collaboration skills in leading a multidisciplinary team towards achieving the project's objectives.

Project Title: Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

Project position: Collaborator

Project Description: Collaborated as a key team member on a research project focused on the development of an innovative approach to skin lesion classification, specifically targeting melanoma and nevus lesions. The project aimed to enhance classification accuracy by fusing handcrafted and deep learning features using mutual information measures. My contributions to the project included:

This project showcased your ability to collaborate effectively in a multidisciplinary team, conduct advanced research, and apply both handcrafted and deep learning-based techniques to address a critical healthcare challenge. It demonstrated your commitment to advancing the field of medical image analysis and contributed to the development of innovative solutions for melanoma detection and skin lesion classification.

Project Title: Written Documents Analyzed as Nature-Inspired Processes

Project position: Collaborator

Project Description: Contributed as a collaborator in a research project exploring innovative approaches to analyze written documents using nature-inspired processes. The project aimed to bridge the gap between natural language understanding and computational linguistics by drawing inspiration from biological and ecological systems. Key responsibilities and accomplishments include:

This collaborative project pushed the boundaries of natural language processing by leveraging insights from nature-inspired processes. It demonstrated strong teamwork, algorithmic design, and research skills while contributing to the advancement of the field's understanding of language analysis.

• Melanoma and nevus skin lesion classification using handcraft and deep learning feature fusion via mutual information measures. Jose-Agustin Almaraz-Damian, Volodymyr Ponomaryov, Sergiy Sadovnychiy, Heydy Castillejos-Fernandez,Entropy 22 (4), 484
• Wavelet transform fuzzy algorithms for dermoscopic image segmentation. H Castillejos, V Ponomaryov, L Nino-de-Rivera, V Golikov Computational and mathematical methods in medicine 2012
• An intelligent system for the diagnosis of skin cancer on digital images taken with dermoscopy. H Castillejos- Fernández, O López-Ortega, F Castro-Espinoza, Acta Polytechnica Hungarica 14 (3), 169-185
• Fuzzy filtering method for color videos corrupted by additive noise. VI Ponomaryov, H Montenegro-Monroy, L Nino-de-Rivera, H Castillejos The Scientific World Journal 2014
• Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen. O López-Ortega, O Pérez-Cortés, H Castillejos- Fernández, ... Applied Sciences 10 (18), 6354
• Fuzzy image segmentation algorithms in wavelet domain. H Castillejos, V Ponomaryov Fuzzy Logic–Algorithms, Techniques and Implementations, 127-146
• Image segmentation framework using wavelet transform. H Castillejos, V Ponomaryov World Automation Congress
• Image segmentation in wavelet transform space implemented on DSP. VI Ponomaryov, H Castillejos, R Peralta-Fabi Real-Time Image and Video Processing 2012 8437, 20-31
• Human gait analysis based on automatic recognition: A review. JC Gonzalez-Islas, OA Dominguez-Ramirez, H Castillejos-Fernandez, ... Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI
• A Proposal for Human Gait Analysis. JC Gonzalez-Islas, OA Dominguez-Ramirez, O Lopez-Ortega, ... 4 th Pan-American Interdisciplinary Conference PIC 2019, 137
• Computer-aided diagnostic approach of dermoscopy images acquiring relevant features. H Castillejos-Fernández, A Franco-Arcega, O López-Ortega Applications of Digital Image Processing XXXIX 9971, 451-458
• Image segmentation in wavelet domain using fuzzy logic. H Castillejos, V Ponomaryov, R Peralta 2011 8th International Conference on Electrical Engineering

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