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Computer Vision, Deep Learning, Machine Learning, Convolutional Neural Networks, Biomedical Engineering, Pattern Recognition, Data Science, Network Security, Artificial Intelligence, Information Technology, Computer Science, Computer Engineering, Internet of Things (IoT), Barako Coffee, Coffea Liberica, Object Detection, Image Classification, Ensemble Learning, Algorithms, Data Modeling, Health Informatics
Philippines

Biography

Google Scholar https://scholar.google.com/citations?user=PV8dJDkAAAAJ&hl=en&authuser=4&oi=ao
EMAIL: francismontalbo@ieee.org; francisjesmar.montalbo@g.batstate-u.edu.ph
Webpage: https://francismontalbo.github.io

Dr. Francis Jesmar P. Montalbo (F. J. P. Montalbo) is a Filipino researcher, author, and Associate Professor specializing in computer vision, deep learning, and data science. He obtained his Doctorate in Information Technology from the Technological Institute of the Philippines-Manila and has since been actively contributing to the field of Artificial Intelligence (AI), specifically Deep Learning (DL), through publications in reputable international journals and presentations at recognized conferences. Currently, Dr. Montalbo holds the position of Associate Professor at Batangas State University, The National Engineering University Philippines, where he is dedicated to helping other researchers in the field. In addition to his academic responsibilities, he also serves as a peer-reviewer for respected journals and conferences such as Elsevier, Springer, ACM, Taylor and Francis, PlosOne, Wiley, IEEE, Frontiers Media, and Hindawi. Furthermore, Dr. Montalbo contributes as an associate editor for a notable local university-based journal in the Philippines.

Activities

Employment (1)

Batangas State University: Batangas, PH

Faculty (College of Informatics and Computing Sciences)
Employment
Source: Self-asserted source
Francis Jesmar P. Montalbo

Education and qualifications (2)

Technological Institute of the Philippines: Manila, PH

2018-11 to 2021-06 | Doctor in Information Technology (Graduate Programs)
Education
Source: Self-asserted source
Francis Jesmar P. Montalbo

Batangas State University: Batangas City, PH

2014 to 2018 | Master of Science in Information Technology (College of Informatics and Computing Sciences)
Education
Source: Self-asserted source
Francis Jesmar P. Montalbo

Professional activities (3)

IEEE Computational Intelligence Society: Piscataway, NJ, US

2020-05 to present | Professional
Membership
Source: Self-asserted source
Francis Jesmar P. Montalbo

IEEE: New York, NY, US

2020-05 to present | Professional
Membership
Source: Self-asserted source
Francis Jesmar P. Montalbo

Philippine Computer Society : Manila, PH

2019-05-18 to present | Professional
Membership
Source: Self-asserted source
Francis Jesmar P. Montalbo

Funding (1)

Artificial Intelligence and Internet of Things to be applied in aquaponic greenhouse – DOST project

Works (23)

DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings

Multimedia Tools and Applications
2024-08-31 | Journal article
Contributors: Francis Jesmar P. Montalbo
Source: check_circle
Crossref

On the optimized fused filament fabrication of polylactic acid using multiresponse central composite design and desirability function algorithm

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
2024-04-24 | Journal article
Contributors: Reymark D Maalihan; John Carlo V Aggari; Alvin S Alon; Roy B Latayan; Francis Jesmar P Montalbo; Alvin D Javier
Source: check_circle
Crossref

Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block

MethodsX
2023 | Journal article
Contributors: Francis Jesmar P. Montalbo
Source: check_circle
Crossref

Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach

2023-10-20 | Conference paper
Contributors: Francis Jesmar P. Montalbo; Lovely Rose T. Hernandez; Lanie P. Palad; Ria C. Castillo; Alvin S. Alon; Anton Louise P. De Ocampo
Source: check_circle
Crossref

Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation

Applied Soft Computing
2023-01 | Journal article
Contributors: Francis Jesmar P. Montalbo
Source: check_circle
Crossref

Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases

MethodsX
2022 | Journal article
Contributors: Francis Jesmar P. Montalbo
Source: check_circle
Crossref

An overview of remote monitoring methods in biodiversity conservation

Environmental Science and Pollution Research
2022-11 | Journal article
Contributors: Rout George Kerry; Francis Jesmar Perez Montalbo; Rajeswari Das; Sushmita Patra; Gyana Prakash Mahapatra; Ganesh Kumar Maurya; Vinayak Nayak; Atala Bihari Jena; Kingsley Eghonghon Ukhurebor; Ram Chandra Jena et al.
Source: check_circle
Crossref

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block

Biomedical Signal Processing and Control
2022-07 | Journal article
Part of ISSN: 1746-8094
EID:

10.1016/j.bspc.2022.103683

Contributors: Francis Jesmar P. Montalbo
Source: Self-asserted source
Francis Jesmar P. Montalbo

Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels

Journal of Optical Communications
2022-07-18 | Journal article | Supervision
Part of ISSN: 0173-4911
Part of ISSN: 2191-6322
Contributors: Francis Jesmar P. Montalbo
Source: Self-asserted source
Francis Jesmar P. Montalbo

Non return to zero line coding with suppressed carrier in FSO transceiver systems under light rain conditions

Journal of Optical Communications
2022-07-13 | Journal article | Supervision
Part of ISSN: 0173-4911
Part of ISSN: 2191-6322
Contributors: Francis Jesmar P. Montalbo
Source: Self-asserted source
Francis Jesmar P. Montalbo

Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans

Multimedia Tools and Applications
2022-05 | Journal article
Part of EID:

10.1007/s11042-022-12484-0

Contributors: Francis Jesmar P. Montalbo
Source: Self-asserted source
Francis Jesmar P. Montalbo
grade
Preferred source (of 2)‎

Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network

Machine Vision and Applications
2022-01 | Journal article
Part of ISSN: 0932-8092
Part of ISSN: 1432-1769
Source: Self-asserted source
Francis Jesmar P. Montalbo
grade
Preferred source (of 2)‎

Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion

Biomedical Signal Processing and Control
2021 | Journal article
EID:

2-s2.0-85103685033

Part of ISSN: 17468108 17468094
Contributors: Montalbo, F.J.P.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 3)‎

Empirical analysis of a fine-tuned deep convolutional model in classifying and detecting Malaria parasites from blood smears

KSII Transactions on Internet and Information Systems
2021 | Journal article
EID:

2-s2.0-85101860046

Part of ISSN: 22881468 19767277
Contributors: Montalbo, F.J.P.; Alon, A.S.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier

Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays

MethodsX
2021 | Journal article
EID:

2-s2.0-85107709637

Part of ISSN: 22150161
Contributors: Montalbo, F.J.P.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier

A computer-aided diagnosis of brain tumors using a fine-tuned yolo-based model with transfer learning

KSII Transactions on Internet and Information Systems
2020 | Journal article
EID:

2-s2.0-85099477685

Part of ISSN: 22881468 19767277
Contributors: Montalbo, F.J.P.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier

An IoT Smart Lighting System for University Classrooms

Proceedings - 2020 International Symposium on Educational Technology, ISET 2020
2020 | Conference paper
EID:

2-s2.0-85094670005

Contributors: Montalbo, F.J.; Enriquez, E.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 2)‎

An Optimized Classification Model for Coffea Liberica Disease using Deep Convolutional Neural Networks

Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020
2020 | Conference paper
EID:

2-s2.0-85084303811

Contributors: Montalbo, F.J.P.; Hernandez, A.A.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 2)‎

Classifying barako coffee leaf diseases using deep convolutional models

International Journal of Advances in Intelligent Informatics
2020 | Journal article
EID:

2-s2.0-85090690229

Part of ISSN: 25483161 24426571
Contributors: Montalbo, F.J.P.; Hernandez, A.A.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 3)‎

Mobilenet SSDv2 inference approach of smoke hazard detection and alert system: A smoke-induced simulated home-environment

International Journal of Advanced Trends in Computer Science and Engineering
2020 | Journal article
EID:

2-s2.0-85087828140

Part of ISSN: 22783091
Contributors: Alon, A.S.; Dioses, J.L.; Diamante, R.A.; Dellosa, R.M.; Montalbo, F.J.P.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 2)‎

Classification of fish species with augmented data using deep convolutional neural network

2019 IEEE 9th International Conference on System Engineering and Technology, ICSET 2019 - Proceeding
2019 | Conference paper
EID:

2-s2.0-85076429432

Contributors: Montalbo, F.J.P.; Hernandez, A.A.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier

Classification of Stenography using Convolutional Neural Networks and Canny Edge Detection Algorithm

Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
2019 | Conference paper
EID:

2-s2.0-85080874692

Contributors: Montalbo, F.J.P.; Barfeh, D.P.Y.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier
grade
Preferred source (of 2)‎

Comparative analysis of ensemble learning methods in classifying network intrusions

2019 IEEE 9th International Conference on System Engineering and Technology, ICSET 2019 - Proceeding
2019 | Conference paper
EID:

2-s2.0-85076428290

Contributors: Montalbo, F.J.P.; Festijo, E.D.
Source: Self-asserted source
Francis Jesmar P. Montalbo via Scopus - Elsevier

Peer review (71 reviews for 9 publications/grants)

Review activity for Biomedical signal processing and control. (1)
Review activity for Computers & electrical engineering. (1)
Review activity for Computers and electronics in agriculture. (7)
Review activity for Computers in biology and medicine. (1)
Review activity for Expert systems with applications. (22)
Review activity for Machine vision and applications. (6)
Review activity for MethodsX. (1)
Review activity for Multimedia tools and applications. (30)
Review activity for PloS one. (2)