A9-1502
giang.nguyenngoc@phenikaa-uni.edu.vn
NGUYEN NGOC GIANG
Lecturer
  • Ph.D. (Computer Science, Kanazawa University, Japan, 2019)

  • M.Sc. (Computer Science, Kanazawa University, Japan, 2016)

  • B.Sc. (Information Technology, Hanoi University of Science and Technology, Vietnam, 2013)

Dr. Nguyen Ngoc Giang is a Lecturer and Researcher at Phenikaa University since May 2025. He brings extensive experience in AI and bioinformatics, acquired through research roles at Zenkei Corp (Japan) and prior lectureships at DaiNam University and Hanoi National University of Education. His research bridges deep learning applications in biomedical data, EEG signal classification, and behavioral analysis in animal models.

Dr. Giang has co-authored over a dozen publications in peer-reviewed journals and international conferences, including the Journal of Biomedical Science and Engineering, Applied Sciences, and the International Conference on Bioinformatics Models, Methods and Algorithms. He is an active reviewer for AI-related journals and continues to pursue professional development via AI-integrated teaching practices and online learning platforms.

RESEARCH INTERESTS

  • Deep Learning in Bioinformatics and Behavior Recognition

  • EEG Signal Classification and Sleep Stage Analysis

  • Protein Sequence and DNA Classification

  • AI-based Phenotype Mutation Detection

SELECTED PUBLICATIONS

  • Bahriddin Abapihi, Mohammad Reza Faisal, Ngoc Giang Nguyen, Mera Kartika Delimayanti, Bedy Purnama, Favorisen Rosyking Lumbanraja, Dau Phan, Mamoru Kubo, Kenji Satou, Cross Entropy Based Sparse Logistic Regression to Identify Phenotype-Related Mutations in Methicillin-Resistant Staphylococcus aureus, Journal of Biomedical Science and Engineering, 2020, 13, 168-174, DOI: 10.4236/jbise.2020.137016
  • Mera Kartika Delimayanti , Bedy Purnama, Ngoc Giang Nguyen, Mohammad Reza Faisal, Kunti Robiatul Mahmudah, Fatma Indriani, Mamoru Kubo, Kenji Satou, Classification of Brainwaves for Sleep Stages by High-Dimensional FFT Features from EEG Signals, Applied Sciences, 2020, 10(5), 1797, DOI: https://doi.org/10.3390/app10051797
  • Ngoc Giang Nguyen, Mera Kartika Delimayanti, Bedy Purnama, Kunti Robiatul Mahmudah, Mamoru Kubo, Makiko Kakikawa, Yoichi Yamada, Kenji Satou, Applying Deep Learning Models to Action Recognition of Swimming Mice with the Scarcity of Training Data, 10th International Conference on Bioinformatics Models, Methods and Algorithms, 2019, 3, 270-275, DOI: 10.5220/0007567602700275
  • Mera Kartika Delimayanti, Bedy Purnama, Ngoc Giang Nguyen, Kunti Robiatul Mahmudah, Mamoru Kubo, Makiko Kakikawa, Yoichi Yamada, Kenji Satou, Clustering and Classification of Breathing Activities by Depth Image from Kinect. 10th International Conference on Bioinformatics Models, Methods and Algorithms, 2019, 3, 264-269, DOI: 10.5220/0007567502640269
  • Bedy Purnama, Mera Kartika Delimayanti, Ngoc Giang Nguyen, Kunti Robiatul Mahmudah, Mamoru Kubo, Makiko Kakikawa, Yoichi Yamada, Kenji Satou, On the Problem about Optical Flow Prediction for Silhouette Image, 10th International Conference on Bioinformatics Models, Methods and Algorithms, 2019, 3, 289-293, DOI: 10.5220/0007572302890293
  • Kenji Satou, Yoshiki Shimaguchi, Kunti Robiatul Mahmudah, Ngoc Giang Nguyen, Mera Kartika Delimayanti, Bedy Purnama, Mamoru Kubo, Makiko Kakikawa, Yoichi Yamada, Prediction of Subnuclear Location for Nuclear Protein, 10th International Conference on Bioinformatics Models, Methods and Algorithms, 2019, 3, 276-280, DOI: 10.5220/0007570502760280
  • Ngoc Giang Nguyen, Dau Phan, Favorisen Rosyking Lumbanraja, Mohammad Reza Faisal, Bahriddin Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Kunti Robiatul Mahmudah, Mamoru Kubo, Kenji Satou, Applying Deep Learning Models to Mouse Behavior Recognition, Journal of Biomedical Science and Engineering, 2019, 12, 183-196, DOI: 10.4236/jbise.2019.122012
  • Mohammad Reza Faisal, Bahriddin Abapihi, Ngoc Giang Nguyen, Bedy Purnama, Mera Kartika Delimayanti, Dau Phan, Favorisen Rosyking Lumbanraja, Mamoru Kubo, Kenji Satou, Improving Protein Sequence Classification Performance Using Adjacent and Overlapped Segments on Existing Protein Descriptors, Journal of Biomedical Science and Engineering, 2018, 11, 126-143, DOI: 10.4236/jbise.2018.116012
  • Dau Phan, Ngoc Giang Nguyen, Favorisen Rosyking Lumbanraja, Mohammad Reza Faisal, Bahriddin Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Mamoru Kubo, Kenji Satou, Combined Use of k-Mer Numerical Features and Position-Specific Categorical Features in Fixed-Length DNA Sequence Classification, Journal of Biomedical Science and Engineering, 2017, 10, 390-401, DOI: 10.4236/jbise.2017.108030
  • Ngoc Giang Nguyen, Vu Anh Tran, Duc Luu Ngo, Dau Phan, Favorisen Rosyking Lumbanraja, Mohammad Reza Faisal, Bahriddin Abapihi, Mamoru Kubo, Kenji Satou, DNA Sequence Classification by Convolutional Neural Network, Journal of Biomedical Science and Engineering, 2016, 9, 280-286, DOI: 10.4236/jbise.2016.95021

PROFESSIONAL CERTIFICATIONS

  • TOEIC: 945

  • JLPT N2 (Japanese Language Proficiency)

COURSES TAUGHT

CSE702017  – Operating Systems
CSE703020 – Machine Learning
CSE702025 – Software Engineering