Dr. Francis Jesmar P. Montalbo

  • Batangas State University (BatStateU) - The National Engineering University, Philippines
  • College of Informatics and Computing Sciences (CICS)

Biography: 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.

Dr. Francis Jesmar P. Montalbo - Recognized Among the Top 2% Most Cited Scientists

Since 2019 through 2024, Dr. Francis Jesmar P. Montalbo has been listed in Elsevier and Stanford's Top 2% most-cited scientists, highlighting his global impact and ongoing contributions to research excellence. His work has significantly advanced the field and earned international recognition. View Dr. Montalbo's profile on the Top Researchers List.

My research standing in Batangas State University (LIVE via Google Scholar): View Ranking

Experience

Associate Professor

Batangas State University-College of Informatics and Computing Sciences (CICS)
Institutional Profile
March 2024 - Present

Researcher

Batangas State University-College of Informatics and Computing Sciences (CICS)
Institutional Profile
January 2017 - Present

Faculty

Batangas State University-College of Informatics and Computing Sciences (CICS)
Institutional Profile
June 2013 - Present

Education

Doctor in Information Technology (with Highest Honors)

Technological Institute of the Philippines-Manila
Class of 2021

Master of Science in Information Technology

Batangas State University
Class of 2018

Bachelor of Science in Information Technology

Batangas State University
Class of 2012

Skills

Programming Languages & Tools
Can perform
  • Data Wrangling (Structured and Unstructured)
  • Medical Image Analysis and Processing (MRI, Chest X-Rays, Colonscopy, Endoscopy, etc.)
  • Deep Learning (Vision and Language-Based)
  • Data Science, Analytics, and Evaluation
  • Development, Writing, and Publication of Research
  • Webpage Development and Deployment
  • Routing and Switching, Security, Administration of Networks
  • Public Speaking, Research Presenting, and Teaching

Publications

Below are my published works in various international journals and conferences.

Journal Publications (21)

TUMbRAIN: A Transformer with a Unified Mobile Residual Attention Inverted Network for Diagnosing Brain Tumors from Magnetic Resonance Scans

Author:

Published in: Neurocomputing

Date:

DOI: 10.1016/j.neucom.2024.128583

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

Author:

Published in: Multimedia Tools and Applications

Date:

DOI: 10.1007/s11042-024-20053-w

A multi-vision monitoring framework for simultaneous real-time unmanned aerial monitoring of farmer activity and crop health

Author:

Published in: Smart Agricultural Technology

Date:

DOI: 10.1016/j.atech.2024.100466

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

Author:

Published in: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Date:

DOI: 10.1177/09544089241247454

S3AR U-Net: A Separable Squeezed Similarity Attention-gated Residual U-Net for Glottis Segmentation

Author:

Published in: Biomedical Signal Processing and Control (BSPC)

Date:

DOI: 10.1016/j.bspc.2024.106047

Source code

F. J. P. Montalbo, "S3AR U-Net: A Separable Squeezed Similarity Attention-gated Residual U-Net for Glottis Segmentation," Biomedical Signal Processing and Control (BSPC), February 21, 2024. doi: 10.1016/j.bspc.2024.106047. Source code


F. J. P. Montalbo, "Automating Mosquito Taxonomy by Compressing and Enhancing a Feature Fused EfficientNet with Knowledge Distillation and a Novel Residual Skip Block," MethodsX, February 14, 2023. doi: 10.1016/j.mex.2023.102072. Source code


F. J. P. Montalbo, "Machine-based Mosquito Taxonomy with a Lightweight Network-fused Efficient Dual ConvNet with Residual Learning and Knowledge Distillation," Applied Soft Computing, December 10, 2022. doi: 10.1016/j.asoc.2022.109913. Source code


F. J. P. Montalbo, "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, November 15, 2022. doi: 10.1016/j.mex.2022.101925. Source code


R. G. Kerry, F. J. P. Montalbo, R. Das, S. Patra, G. P. Mahaptra, G. K. Maurya, V. Nayak, A. B. Jena, K. E. Ukhurebor, R. C. Jena, S. Gouda, S. Majhi, and J. R. Rout "An overview of remote monitoring methods in biodiversity conservation," Environmental Science and Pollution Research, October 5, 2022. doi: 10.1007/s11356-022-23242-y.


A. N. Z. Rashed, S. K. H. Ahammad M. G. Daher, S. H. Zyoud, V. Sorathiya, F. J. P. Montalbo, S. Asaduzzaman, H. Rehana, and A. Zuhayer "Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels," Journal of Optical Communications, July 18, 2022. doi: 10.1515/joc-2022-0044.


A. N. Z. Rashed, M. G. Daher, S. K. H. Ahammad, F. J. P. Montalbo, V. Sorathiya, S. Asaduzzaman, H. Rehana, and A. Zuhayer "Non return to zero line coding with suppressed carrier in FSO transceiver systems under light rain conditions," Journal of Optical Communications, July 13, 2022. doi: 10.1515/joc-2022-0039.


F. J. P. Montalbo, "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 (BSPC), vol. 76, April 16, 2022. doi: 10.1016/j.bspc.2022.103683. Source code


F. J. P. Montalbo et al., "Interventions and Implications of Data, Artificial Intelligence, Internet of Things and Blockchain During the Early Years of The SARS-Cov-2 Pandemic," International Journal of Biomedicine, in-press, 2022.


F. J. 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, March 3, 2022. doi: 10.1007/s11042-022-12484-0. Source code


F. J. P. Montalbo, "Automated Diagnosis of Diverse Coffee Leaf Images through a Stage-Wise Aggregated Triple Deep Convolutional Neural Network," Machine Vision and Applications, vol. 33, no. 1, pp. 1-22, January 21, 2022. doi: 10.1007/s00138-022-01277-y. Source code


F. J. P. Montalbo, "Truncating a Densely Connected Convolutional Neural Network with Partial Layer Freezing and Feature Fusion for Diagnosing COVID-19 from Chest X-Rays," MethodsX, vol. 8, 101408, June 5, 2022. doi: 10.1016/j.mex.2021.101408. Source code


F. J. P. Montalbo, "Diagnosing Covid-19 Chest X-Rays with a Lightweight Truncated DenseNet with Partial Layer Freezing and Feature Fusion," Biomedical Signal Processing and Control (BSPC), vol. 68,102583, April 1, 2021. doi: 10.1016/j.bspc.2021.102583. Source code


F. J. P. Montalbo and A. S. Alon, "Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears," KSII Transactions on Internet & Information Systems (TIIS), vol. 15, no. 1, pp. 147-165, January 31, 2021. doi: 10.3837/tiis.2021.01.009.


F. J. P. Montalbo, "A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning," KSII Transactions on Internet & Information Systems (TIIS), vol. 14, no. 12, pp. 4816-4834, December 30, 2020. doi: 10.3837/tiis.2020.12.011.


F. J. P. Montalbo and A. A. Hernandez, "Classifying Barako coffee leaf diseases using deep convolutional models," International Journal of Advances in Intelligent Informatics (IJAIN), vol. 6, no. 2, p. 197, July, 2020. doi: 10.26555/ijain.v6i2.495.


A.S. Alon, J. L. Dioses Jr., R. Diamante, R. Dellosa, and F. J. P. Montalbo "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 (IJATCSE), vol. 9, no. 1.3, p. 197-202, 2020. doi: 10.30534/ijatcse/2020/2991.32020.



Conference Publications (7)

ALP De Ocampo, AS Alon, FJP Montalbo, JR Macalisang, and JCV Aggari, "Intelligent Control for Automated Fish Feeding System in an Aquaponic Environment," In Proc. of the 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), Semarang, Indonesia, August 21, 2024, pp. 273-278, doi: ICICoS62600.2024.10636920.


F. J. Montalbo, L.R. Hernandez, L.P. Palad, R.C. Castillo, A.S. Alon, A.L. De Ocampo, "Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach," In Proc. of the 2023 8th International Conference on Biomedical Imaging, Signal Processing (ICBSP), Singapore, October 20, 2023, pp. 17-25, doi: 10.1145/3634875.3634878.


F. J. Montalbo and E. Enriquez, "An IoT Smart Lighting System for University Classrooms," In Proc. of the 2020 International Symposium on Educational Technology (ISET), Bangkok, Thailand, October 7, 2020, pp. 3-7, doi: 10.1109/ISET49818.2020.00011.


F. J. P. Montalbo and A. A. Hernandez, "An Optimized Classification Model for Coffea Liberica Disease using Deep Convolutional Neural Networks," In Proc. of the 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), Langkawi, Malaysia, April 16, 2020, pp. 213-218, doi: 10.1109/CSPA48992.2020.9068683.


F. J. P. Montalbo and D. P. Y. Barfeh, "Classification of Stenography using Convolutional Neural Networks and Canny Edge Detection Algorithm," In Proc. of the 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, February 20, 2019, pp. 305-310, doi: 10.1109/ICCIKE47802.2019.9004359.


F. J. P. Montalbo and A. A. Hernandez, "Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network," In Proc. of the 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), Shah Alam, Malaysia, November 21, 2019, pp. 396-401, doi: 10.1109/ICSEngT.2019.8906433.


F. J. P. Montalbo and E. D. Festijo, "Comparative Analysis of Ensemble Learning Methods in Classifying Network Intrusions," In Proc. of the 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), Shah Alam, Malaysia, November 21, 2019, pp. 431-436, doi: 10.1109/ICSEngT.2019.8906310.



Book Chapters(1)

K.E., Ukhurebor, U.O, Aigbe, R.B. Onyancha, K.K. Adama, O.A. Anani, J.O. Emegha, B. Okundaye, R.G. Kerry, A.B. Jena, F. J. P. Montalbo, O.A. Ayeleso, G. Jokthan, A.B. Vincent, "The challenges of, and perspectives on adsorption applications for environmental sustainability," Adsorption Applications for Environmental Sustainability, IOP Publishing, September 1, 2023. ISBN: 978-0-7503-5598-8.

Achievements

Certifications and Qualifications

  • IEEE Senior Member
  • Huawei Certified Network Associate (HCNA) - Routing and Switching
  • Huawei Certified Academy Instructor (HCAI) - Routing and Switching
  • National Research Council of the Philippines (NRCP) Member
  • Certified Cisco Networking Academy Instructor
  • Japan Information Technology Standards Examination (IT Passport) Passer
  • Computer Systems Servicing National Certificate II

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