Prof. Moussa Mahamat Boukar

Prof. Moussa Mahamat Boukar is a distinguished academic, researcher, and leader in the field of Computer Science, renowned for his expertise, innovative contributions, and strategic leadership. He holds a PhD in Computer Science from International Black Sea University, Georgia, an MSc from International Ala-Too University, Kyrgyzstan, and a BSc in Computer Engineering from the University of Toronto, Canada. Prof. Boukar's career is a testament to his passion for education, research, and leadership, underpinned by a strong academic foundation and extensive professional experience.

Certified as a PWC Leader and an IBM- and MIT-certified Mainframe professional, as well as a Chartered Engineer, Prof. Boukar has demonstrated a profound impact in both academia and the industry. His active membership in prestigious organizations such as the Institute of Electrical and Electronics Engineers (IEEE), the Nigerian Computer Society, and the Engineering Society of the Republic of Chad reflects his commitment to advancing technology and engineering standards globally.

Prof. Boukar’s career began as a Senior Developer at Surat Technology Company, Bishkek, Kyrgyzstan, where he gained valuable hands-on experience in software development and project management. He transitioned to academia, where his exceptional teaching and leadership have inspired many. Since joining Nile University of Nigeria in 2013, he has held a series of pivotal leadership roles, including:

• Head, Department of Computer Science (2013–2015)
• Director, ICT (2014–2016) – championing the development and implementation of the university's automation system, PMS
• Dean, Faculty of Natural and Applied Sciences (2015–2016, 2017–2022)
• Founding Dean, Postgraduate Studies (2016–2017)
• Founding Dean, Faculty of Computing (2022–2024) – establishing transformative programs in Data Science, Cybersecurity, and Software Engineering
• Founding Director, Distance Learning and Partnerships (2024–Present)

Prof. Boukar is also a prolific researcher with expertise in Artificial Intelligence, Machine Learning, Big Data Analytics, High-Performance Computing, and Knowledge Engineering. He has authored over 70 research papers published in leading international journals indexed by Scopus and SCI, and has written two influential books. His research has been presented at 45 international conferences, earning him 23 prestigious awards for his groundbreaking contributions. He also served as the Conference Chair for the ICECCO-2017 and ICECCO-2019 conferences, which were indexed by IEEE, Scopus, and Web of Science.

A dedicated mentor, Prof. Boukar has supervised seven PhD scholars and over 80 MSc graduates, many of whom have gone on to make significant strides in academia and industry. He actively contributes to the academic community through his roles on editorial boards, as a technical committee member, and as a reviewer for top-tier journals and conferences, including IEEE, Springer, and Elsevier.

Prof. Boukar’s leadership, research, and mentorship have earned him widespread recognition, with numerous awards highlighting his innovative approaches to education and research. He is affiliated with several esteemed professional societies, including the IEEE, IAENG, and IACSIT.

Beyond his professional achievements, Prof. Boukar is a devoted family man, married with four children. He continues to inspire as a transformative leader, visionary educator, and innovative researcher, leaving a lasting impact on the field of Computer Science and shaping the future of technology and academia globally.

• Programming in Python
• Programming in C, C++, Java
• Object Oriented Programming in C++/Java
• Advanced Analysis of Algorithms
• Advanced Object Oriented Programming in Java
• Machine Learning with Python
• Problem Solving and Algorithm
• Software Engineering
• Data Structures and Algorithm
• Advanced Computer Programming

• Institute of Electrical and Electronics Engineers (IEEE) International Association of Engineers (IAENG) Association of Computer Sciences and Information Technology (IACSIT) Singapore Nigerian Computer Society Engineering Society of the Republic of Chad

• EdX Certified Expert in Python Programming and Machine Learning
• IBM Certified in Advanced Programming in Python
• MIT Certified in Advanced Matlab Programming
• PWC Certified in Leadership

Academic Publication

1. Boukar, M.M et al., “Decision Tree Regrbession vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber,” Applied Sciences, vol. 14, no. 17, p. 7540, 2024, doi: https://doi.org/10.3390/app14177540. Scopus Q1

2. Boukar, M.M et al., “Machine Learning Approaches for Prediction of the Compressive Strength of Alkali Activated Termite Mound Soil,” Applied sciences, vol. 11, no. 11, pp. 4754–4754, May 2021, doi: https://doi.org/10.3390/app11114754.Scopus Q1x

3. Boukar.M.M et al., “A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite in Construction,” Waste Biomass Valorization, May 2024, doi: 10.1007/s12649-024- 02538-9. Indexed in web of science and Scopus Q1.

4. Boukar, M.M et al., “A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite in Construction,” Waste and Biomass Valorization, May 2024, doi: https://doi.org/10.1007/s12649-024-02538-9.Springer indexed Scopus Q2

5. Mahamat, A. A., Boukar, M. M., Ibrahim, N. M., Stanislas, T. T., Linda Bih, N., Obianyo, I. I., and H. Savastano Jr., “Machine Learning Approaches for Prediction of the Compressive Strength of Alkali Activated Termite Mound Soil,” Applied Sciences, vol. 11, p. 4754, 2021. [Online]. Available: https://doi.org/10.3390/app11114754. Applied Science Scopus Journal Q2

6. Assia Aboubakar Mahamat and Moussa Mahamat Boukar, “On the Use of Machine Learning Technique to Appraise Thermal Properties of Novel Earthen Composite for Sustainable Housing in Sub-Saharan Africa,” pp. 161– 170, Jan. 2024, doi: https://doi.org/10.1007/978-3-031- 51849-2_11. Springer E-Book

7. Boukar, M. M. ., Mahamat, A. A. ., & Djibrine, O. H. . (2023). The Impact of Artificial Intelligence (AI) on Content Management Systems (CMS): A Deep Dive. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 552–560. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3953 Indexed in Scopus

8. M. M. Boukar, A. A. Mahamat, O. H. Djibrine and U. B. Abubakar, "Improving the Accuracy of Animal Species Classification in Camera Trap Images Using Transfer Learning," 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), Victoria, Seychelles, 2024, pp. 1-6, doi: 10.1109/ACDSA59508.2024.10467777. keywords: {Training;TV;Biological system modeling;Computational modeling;Transfer learning;Cameras;Convolutional neural networks;Image classification;Biodiversity;Transfer learning;Animals;Endangered species;Environmental monitoring;ML;DL;CCTV;Image Classification;CNN}, indexed in IEEE/Scopus

9. U. A. Ibrahim, M. M. Boukar, and M. A. Suleiman, “Development of Hausa dataset a baseline for speech recognition,” Data in Brief, vol. 40, p. 107820, Feb. 2022, doi: https://doi.org/10.1016/j.dib.2022.107820. Sci-direct Scopus Q2

10. U. Adam, M. Mahamat Boukar, and M. Suleiman, “Development of Hausa Acoustic Model for Speech Recognition,” IJACSA) International Journal of Advanced Computer Science and Applications, vol. 13, no. 5, 2022, Available: https://thesai.org/Downloads/Volume13No5/Paper_59- Development_of_Hausa_Acoustic_Model_for_Speech_Reco gnition.pdfindexed in Scopus Q2

11. U. Bello Abubakar, M. Mahamat Boukar, and S. Dane, “Review of Swarm Fuzzy Classifier and a Convolutional Neural Network with VGG-16 Pre-Trained Model on Dental Panoramic Radiograph for Osteoporosis Classification.” Accessed: Aug. 27, 2024. [Online]. Available: https://www.jrmds.in/articles/review-of-swarm-fuzzyclassifier-and-a-convolutional-neural-network-with-vgg16- pretrained-model-on-dental-panoramic-radi.pdf indexed in WOS

12. Moussa Mahamat Boukar and S. Dane, “The Effects of Sex, Education and Handedness on Rosenberg,” Journal of Research in Medical and Dental Science, vol. 7, no. 4, pp. 17–20, 2019, Accessed: Aug. 27, 2024. [Online]. Available: https://www.jrmds.in/articles/the-effects-of-sexeducation-and-handedness-on-rosenberg-44188.html indexed in WOS

13. A. D. Yusuf, S. Abdullahi, M. M. Boukar, and S. I. Yusuf, “Collision Resolution Techniques in Hash Table: A Review,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 9, 2021, doi: https://doi.org/10.14569/ijacsa.2021.0120984.indexedin Scopus

14. N. Lynda, N. Nnanna, and M. Mahamat Boukar, “Remote Sensing Image Classification for Land Cover Mapping in Developing Countries: A Novel Deep Learning Approach,” IJCSNS International Journal of Computer Science and Network Security, vol. 22, no. 2, p. 214, 2022, doi: https://doi.org/10.22937/IJCSNS.2020.22.2.28.indexed in Scopus

15. R. U, S. Adeshina, and M. Mahamat Boukar, “Hepatitis C Stage Classification with hybridization of GA and Chi2 Feature Selection,” IJCSNS International Journal of Computer Science and Network Security, vol. 22, no. 1, p. 167, 2022, doi: https://doi.org/10.22937/IJCSNS.2022.22.1.23.indexed in Scopus

16. G. George, S. Adeshina, and M. M. Boukar, “Development of Android Application for Facial Age Group Classification Using TensorFlow Lite,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 4, pp. 11–17, Sep. 2023, Available: https://ijisae.org/index.php/IJISAE/article/view/3449indexe din Scopus

17. A. D. Yusuf, S. Abdullahi, M. M. Boukar, and S. I. Yusuf, “Collision Resolution Techniques in Hash Table: A Review,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 9, 2021, doi: https://doi.org/10.14569/ijacsa.2021.0120984.indexed in Scopus Q2

18. Djibrine, O. H. ., Ahmat, D. ., Boukar, M. M. ., Bello, U. A. ., & Ali, A. Y. . (2023). Transfer Learning for Animal Species Identification from CCTV Image: Case Study Zakouma National Park. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 28–40. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3673indexe din Scopus

19. S. Yusuf, S. Adeshina, and M. Mahamat Boukar, “Reliability of Low Framerate in Deep Learning Based Visual Human Gait Analysis for Identification,” IJCSNS International Journal of Computer Science and Network Security, vol. 22, no. 1, p. 411, 2022, doi: https://doi.org/10.22937/IJCSNS.2022.22.1.54.indexedin Scopus

20. Moussa Mahamat Boukar and S. Dane, “The Effects of Sex, Education and Handedness on Rosenberg,” Journal of Research in Medical and Dental Science, vol. 7, no. 4, pp. 17–20, 2019, Available: https://www.jrmds.in/articles/the-effects-of-sex-educationand-handedness-on-rosenberg-44188.htmlindexed in WOS

21. Maryam Muhammed, Moussa Mahamat Boukar, Saleh Elyakubu Aldullahi, Senol Dane, The Application of Artificial Intelligence Technique (CNN-Alexnet) in Diagnosing COVID-19 Using Chest X-ray Images, J Res Med Dent Sci, 2021, 9 (5):21-26. Indexed in WOS

22. S. I. Yusuf, M. M. Boukar and I. Muslu, "Data dissemination via web services for distributed and heterogeneous data sources: An enhancement of the nigerian university certificate verification system," 2017 13th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2017, pp. 1-4, doi: 10.1109/ICECCO.2017.8333323. keywords: {Web services;Security;Forgery;Relational databases;Optimization;Computer science;Remote Database Access (RDA);Web Service;Certificate Verification;NoSQL;JavaScript Object Notation},indexed in IEEE/Scopus

23. A. Usman, M. M. Boukar, M. A. Suleiman, I. A. Salihu and N. -O. Eke, "Reinforcement Learning for Testing Android Applications: A Review," 2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), Abuja, Nigeria, 2023, pp. 1-6, doi: 10.1109/ICMEAS58693.2023.10429864. keywords: {Measurement;Q-learning;Codes;Prediction algorithms;Testing;Graphical user interfaces;Android;Testing;Reinforcement Learning;QLearning}, indexed in IEEE/Scopus

24. R. Muhammad, M. M. Boukar, S. Adeshina and S. Dane, "A Few-shot custom CNN Model for Retinal Nerve Fibre Layer Thickness Measurement in OCT Images of Epilepsy," 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), Victoria, Seychelles, 2024, pp. 1-6, doi: 10.1109/ACDSA59508.2024.10468036. keywords: {Training;Optical fibers;Image segmentation;Adaptation models;Supervised learning;Epilepsy;Optical variables measurement;Deep learning;few-shot learning;segmentation;OCT images;Epilepsy}, indexed in IEEE/Scopus

25. M. M. Boukar and I. Muslu, "Administration and academic staff performance management system using content management system (CMS) technologies," 2013 International Conference on Electronics, Computer and Computation (ICECCO), Ankara, Turkey, 2013, pp. 151- 154, doi: 10.1109/ICECCO.2013.6718251. keywords: {Content management;Educational institutions;Instruments;Information management;Automation;Companies;Content Management System (CMS);Knowledge Management System;Enterprise Content Management System and MVC of Ruby},indexed in IEEE/Scopus

26. S. I. Yusuf, M. M. Boukar, A. Mukhtar and A. D. Yusuf, "User Define Time Based Change Pattern Dynamic Password Authentication Scheme," 2018 14th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2018, pp. 206-212, doi: 10.1109/ICECCO.2018.8634675. keywords: {Password;Authentication;Dynamics;Heuristic algorithms;Cryptography;Usability;dynamic password;authentication;time based dynamic password;password. shared nothing}, indexed in IEEE/Scopus

27. S. Shamiluulu, M. M. Boukar and Z. Yussupova, "Medical tool for assisting patients in Kazakhstan polyclinics," 2017 13th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2017, pp. 1-5, doi: 10.1109/ICECCO.2017.8333319. keywords: {Medical diagnostic imaging;Tools;Machine learning algorithms;Diseases;Decision trees;Medical diagnosis;Clinical Decision Support Systems;Machine Learning Algorithms;Mobile Computing and Android Platform}, indexed in IEEE/Scopus

28. A. D. Yusuf, M. M. Boukar and S. Shamiluulu, "Automated batch certificate generation and verification system," 2017 13th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2017, pp. 1-5, doi: 10.1109/ICECCO.2017.8333321. keywords: {Databases;XML;Graphical user interfaces;Software;Organizations;Task analysis;Certificate;Certificate Generation;Certificate Template;Certificate Verification;Participant;Template Format},indexed in IEEE/Scopus

29. I. Muslu, M. M. Boukar and S. Shamiluulu, "An error analysis algorithm for approximate solution of linear Fredholm-Stieltjes integral equations with Generalized Trapezium Method," 2017 13th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2017, pp. 1-7, doi: 10.1109/ICECCO.2017.8333329. keywords: {Integral equations;Error analysis;Approximation algorithms;Biology;Software algorithms;Physics;Integral Equations;Stieltjes Integral Equations;Approximation Methods;Generalized Trapezium Method;Error Analysis for Integral Equations}, indexed in IEEE/Scopus

30. A. Salau, N. Agwu Nnanna and M. Mahamat Boukar, "A Review of Fraudulent Practices in Healthcare Insurance and Machine Learning-Based Investigation Approaches," 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), Volos, Greece, 2023, pp. 1-8, doi: 10.1109/IISA59645.2023.10345969. keywords: {Insurance;Medical services;Machine learning;Fraud;Healthcare insurance fraud;fraud detection;machine learning;pre-authorization;healthcare insurance claims}, indexed in IEEE/Scopus

31. A. A. Yusuf, N. A. Nwojo and M. M. Boukar, "Basic dependency parsing in natural language inference," 2017 13th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2017, pp. 1-4, doi: 10.1109/ICECCO.2017.8333337. keywords: {Engines;Natural languages;Speech;Task analysis;Computer science;Syntactics;Pattern matching;parsing;entailment;unification;dependency}, indexed in IEEE/Scopus

32. I. Muslu and M. M. Boukar, "Developing a computation algorithm for approximation solution of linear fredholmstieltjes integral equations of second kind using generalized trapezoid quadrature method," 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT), Baku, Azerbaijan, 2016, pp. 1-5, doi: 10.1109/ICAICT.2016.7991768. keywords: {Integral equations;Approximation algorithms;Mathematical model;Software algorithms;Graphics;Matrices;Matrix converters;Linear Fredholm integral equation;generalized trapezoid rule;Stieltjes integral equations;linear integral equations;quadrature methods;maple}, indexed in IEEE/Scopus

33. I. Muslu and M. M. Boukar, "An interactive application (Maplet) for II-Order Ordinary Differential Equations," 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2014, pp. 1-4, doi: 10.1109/ICECCO.2014.6997574. keywords: {MATLAB;Educational institutions;Optimization;Animation;Three-dimensional displays;Interactive Application;Maplet;Ordinary Differential Equations;Homogeneous Nonhomogeneous Differential Equations;Initial Value Problems}, indexed in IEEE/Scopus

34. I. Muslu and M. M. Boukar, "Developing interactive course material for volterra Integral Equations of Second Kind," 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2014, pp. 1-4, doi: 10.1109/ICECCO.2014.6997575. keywords: {MATLAB;Equations;Biology;Animation;Materials;Differenti al equations;Interactive Application;Maple;Volterra Integral Equations of Second Kind;Interactive Course Material;Developing Interactive Course}, indexed in IEEE/Scopus

35. M. K. Idris, M. M. Boukar and S. A. Adeshina, "Analysis of Bad Roads Using Smart phone," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-4, doi: 10.1109/ICECCO48375.2019.9043286. keywords: {Accelerometer;Artificial Intelligence;GPS;Smartphone;Standard Deviation;Supervised learning},indexded in IEEE/Scopus

36. A. B. Yazid, M. M. Boukar, S. Y. Ibrahim and I. Muslu, "Four-Factors Authentication Algorithm For Preventing Fake Attendance," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-4, doi: 10.1109/ICECCO48375.2019.9043287. keywords: {Attendance;QR code;GPS;Face Recognition;Timestamp;authentication}, IEEE/Scopus

37. T. I. Adegboruwa, S. A. Adeshina and M. M. Boukar, "Time Series Analysis and prediction of bitcoin using Long Short Term Memory Neural Network," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-5, doi: 10.1109/ICECCO48375.2019.9043229. keywords: {Long Short Term Memory Neural Networks;Bitcoin;Time Series;detrend}, IEEE/Scopus

38. M. M. Othman, S. A. Adeshina and M. M. Boukar, "Development Of Road Anomaly Data Transmission Using Ant Colony Optimization Algorithm in a Vehicle-To-Vehicle Communication," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-6, doi: 10.1109/ICECCO48375.2019.9043252. keywords: {Data Transmission;Ant Colony optimization Algorithm;VANET}, IEEE/Scopus

39. A. B. Yazid, M. M. Boukar, S. Y. Ibrahim and I. Muslu, "Four-Factors Authentication Algorithm For Preventing Fake Attendance," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-4, doi: 10.1109/ICECCO48375.2019.9043287. keywords: {Attendance;QR code;GPS;Face Recognition;Timestamp;authentication},IEEE/Scopus

40. A. A. Mahamat and M. M. Boukar, "Machine learning techniques versus classical statistics in strength predictions of eco-friendly masonry units," 2021 16th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2021, pp. 1-4, doi: 10.1109/ICECCO53203.2021.9663760. keywords: {Analytical models;Temperature;Costs;Absorption;Linear regression;Machine learning;Artificial neural networks;machine learning;artificial neural network;statistical linear regression;eco-friendly masonry bricks;compressive strength}, IEEE/Scopus

41. S. I. Yusuf, S. Adeshina and M. M. BOUKAR, "Parameters for Human Gait Analysis: A Review," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-4, doi: 10.1109/ICECCO48375.2019.9043216. keywords: {Gait;Gait cycle;human gait features;Gait analysis},IEEE/Scopus

42. I. Muslu, M. M. Boukar and O. Gurbuz, "Developing a Digital Interactive Course Material on Automated Management System Moodle for Integral Equations Course," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-5, doi: 10.1109/ICECCO48375.2019.9043240. keywords: {integral equations;digital course material;moodle;wildcard;question bank},indexed IEEE/Scopus

43. A. B. Yazid, M. M. Boukar and S. I. Yusuf, "PandaLock: Variable-Pointer Rotary-Password Authentication Technique," 2018 14th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2018, pp. 1-6, doi: 10.1109/ICECCO.2018.8634700. keywords: {Password;Authentication;Resistance;Computer science;Handheld computers;Dictionaries;authentication;shouldersurfing;password;attacks;pointers;security},indexed in IEEE/Scopus

44. A. D. Yusuf, S. Abdullahi, M. M. Boukar and S. I. Yusuf, "Evaluation of Collision Resolution Methods Using Asymptotic Analysis," 2021 16th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2021, pp. 1-6, doi: 10.1109/ICECCO53203.2021.9663778. keywords: {Hash functions;Runtime;Time complexity;Hashing;algorithm;lookup;insertion;collision resolution;hash table;hash function;slot},indexed in IEEE/Scopus

45. R. Umar, S. Adeshina and M. m. Boukar, "Performance Evaluation of Machine Learning Approach for hepatitis Classification with genetic Algorithm feature Selection," 2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), Abuja, Nigeria, 2021, pp. 1-5, doi: 10.1109/ICMEAS52683.2021.9692385. keywords: {Support vector machines;Performance evaluation;Machine learning algorithms;Liver diseases;Machine learning;Predictive models;Feature extraction;Hepatitis disease;Hepatitis classification;Machine learning for Hepatitis classification},indexed in IEEE/Scopus

46. A. B. Yazid, J. Chijioke, M. B. Mahamat, H. I. Ahmad, V. C. Anye and M. Zakariya, "Real-time Pipeline Vandalism Detection Using Open-Circuit Technique," 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2019, pp. 1-4, doi: 10.1109/ICECCO48375.2019.9043222. keywords: {Proximity sensors;Locatin;Open Circuit;Pipeline leak monitoring},indexed in IEEE/Scopus

47. Y. A. Abass, S. A. Adeshina, N. N. Agwu and M. M. Boukar, "Analysis of Prostate Cancer DNA Sequences Using Bi-direction Long Short Term Memory Model," 2021 16th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2021, pp. 1-6, doi: 10.1109/ICECCO53203.2021.9663839. keywords: {Training;Analytical models;Computational modeling;Biological system modeling;DNA;Predictive models;Feature extraction;Deep learning;DNA sequence;kmer;Prediction;Bi-LSTM},indexed in IEEE/Scopus

48. U. Bello Abubakar, M. Mahamat Boukar, S. Adeshina, and S. Dane, “Senol Dane, Deep Learning for Osteoporosis Classification Using Convolutional Neural Network on Knee Radiograph Dataset to Compare Classification Accuracy between RGB Images and Grayscale Images,” Journal of Research in Medical and Dental Science, vol. 11, no. 8, pp. 32–37, 2023, Available: https://www.jrmds.in/articles/deep-learning-forosteoporosis-classification-using-convolutional-neuralnetwork-on-knee-radiograph-dataset-to-comparec.pdfindexedin WOS

49. A. Adamu, A. Saleh El-Yakub, M. Mahamat Boukar, and S. Dane, “A Rule Based Expert System for Autism Diagnosis/Screening: Prototype Development,” Journal of Research in Medical and Dental Science |, vol. 10, p. 12, 2022, Available: https://www.jrmds.in/articles/a-rulebased-expert-system-for-autism-diagnosisscreeningprototype-development.pdfindexed in Scopus

50. R. Umar, Moussa Mahamat Boukar, S. Adeshina, and S. Dane, “Machine Learning Approaches for Optimal Parameter Selection for Hepatitis Disease Classification,” Journal of Research in Medical and Dental Science, vol. 9, no. 7, pp. 65–72, 2021, Accessed: Aug. 27, 2024. [Online]. Available: https://www.jrmds.in/articles/machine-learningapproaches-for-optimal-parameter-selection-for-hepatitisdisease-classification-82320.htmlindexed in WOS

51. A. A. Mahamat and M. M. Boukar, "Machine learning techniques versus classical statistics in strength predictions of eco-friendly masonry units," 2021 16th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2021, pp. 1-4, doi: 10.1109/ICECCO53203.2021.9663760. keywords: {Analytical models;Temperature;Costs;Absorption;Linear regression;Machine learning;Artificial neural networks;machine learning;artificial neural network;statistical linear regression;eco-friendly masonry bricks;compressive strength}, IEEE/Scopus

52. George, G. ., Adeshina, S. ., & Boukar , M. M. . (2023). Development of Android Application for Facial Age Group Classification Using TensorFlow Lite. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 11–17. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3449indexe d in Scopus.

53. George, G. ., Adeshina, S. ., & Boukar , M. M. . (2023). The Influence of Activation Functions in Deep Learning Models Using Transfer Learning for Facial Age Prediction. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 328–335. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4256indexe d in Scopus

54. A. Usman, M. M. Boukar, M. A. Suleiman, and I. A. Salihu, “Test Case Generation Approach for Android Applications using Reinforcement Learning”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 4, pp. 15127–15132, Aug. 2024. Indexed in Scopus

55. A. Salau, N. Agwu Nwojo, M. Mahamat Boukar, and O. Usen, “Advancing Preauthorization Task in Healthcare: An Application of Deep Active Incremental Learning for Medical Text Classification”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 6, pp. 12205–12210, Dec. 2023. Indexed in Scopusfff

56. N. Ari and M. M. Boukar, "WEB services," 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 2014, pp. 1-7, doi: 10.1109/ICECCO.2014.6997581. keywords: {XML;Simple object access protocol;Protocols;Vectors;Shape;WEB Services;SOAP;WSDL;UDDI;XML;HTML},indexed in IEEE/Scopus

57. O. H. Djibrine, D. Ahmat and M. M. Boukar, "Deep Learning-based Approaches for Preventing and Predicting Wild Animals Disappearance: A Review," 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), Victoria, Seychelles, 2024, pp. 1-6, doi: 10.1109/ACDSA59508.2024.10467213. keywords: {Deep learning;Animals;Reviews;Soft sensors;Computational modeling;Surveillance;Prediction algorithms;Deep learning;wild animals;disappearance prediction;behavioral analysis;tracking mechanisms}, indexed in IEEE/Scopus