• Current Research Interest

1. Machine Learning (Regression Analysis, Supervised Learning, Unsupervised Learning, Self-Supervised Learning, Weakly Supervised Learning).

2. Deep Learning  (Regularization (Dropout), Transfer Learning, Domain Adaptation, NAS), Reinforcement Learning (Beginning Stage > Single-Agent Learning

3. Medical AI

4. Meta-learning 

5. Generative AI

• Previous Research Interest 

• Image Processing 

• Natural language processing (NLP) 

• Data Science 

• IoT

• Blockchain

• Metaverse

International  Journal  Publication  (SCIE )

1. Automatic Fracture Detection Convolutional Neural Network with Multiple Attention Blocks Using Multi-Region X-Ray Data (https://www.mdpi.com/2075-1729/15/7/1135). 

2. Empowering Home Security Through Wall Crossing Activity Detection Using Vision Cameras and Convolutional Long Short-Term Architecture  (http://dx.doi.org/10.1109/JSEN.2025.3596321). 

3. Innovations and Challenges of AI in Film: A Methodological Framework for Future Exploration (https://dl.acm.org/doi/10.1145/3736724).

4. Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms (http://dx.doi.org/10.3390/diagnostics15101271).  

5. A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture  (https://doi.org/10.3390/eng6010009). 

6. Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data (http://dx.doi.org/10.3390/s24237436). 

7. Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines  (http://dx.doi.org/10.7717/peerj-cs.2389). 

8. A Deep CNN-Based Salinity and Freshwater Fish Identification and Classification Using Deep Learning and Machine Learning  (http://dx.doi.org/10.3390/su16187933). 

9. ELIPF: Explicit Learning Framework for Pre-Emptive Forecasting, Early Detection, and Curtailment of Idiopathic Pulmonary Fibrosis Disease (http://dx.doi.org/10.3390/biomedinformatics4030099). 

10. BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks (http://dx.doi.org/10.3390/s24144591). 

11. Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life  (http://dx.doi.org/10.3390/electronics13071331). 

12. Metaverse for Digital Anti-Aging Healthcare: An Overview of Potential Use Cases Based on Artificial Intelligence, Blockchain, IoT Technologies, Its Challenges, and Future Directions  (http://dx.doi.org/10.3390/app13085127). 

13. Developing a Low-Cost IoT-Based Remote Cardiovascular Patient Monitoring System in Cameroon (http://dx.doi.org/10.3390/healthcare11020199). 

14. Long Short-Term Memory (LSTM)-Based Dog Activity Detection Using Accelerometer and Gyroscope (http://dx.doi.org/10.3390/app12199427). 

1. Foundation Models: From Current Developments, Challenges, and Risks to Future Opportunities 

2. Skin Cancer Detection using Transfer Learning Models and Ensemble Approach to Enhanced Diagnostic Accuracy 

3. Multiple Instance Learning: State-of-the-Art in Cancer Analysis, Applications & Future Potential 

4. Exploring Deep Learning and Machine Learning Techniques for Histopathological Image Classification in Lung Cancer Diagnosis 

5. Leveraging Deep Learning for Automated Analysis of Colorectal Cancer Histology Images to Elevate Diagnosis Precision 

6. Leveraging the Power of Blockchain for Secure Healthcare Data Management System 

7. Enhanced Nuclei Segmentation in Histopathology Image Leveraging RGB Channels through Triple-Encoder and Single-Decoder Architectures 

8. Blockchain for Improved Security of Internet of Medical Things in Healthcare 

9. Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity 

10. Chronic Obstructive Pulmonary Disease Classification using Artificial Intelligence Techniques 

Coming Soon...

• Member IEEE

• Scientific Committee Member - 2025 - "The 5th IEEE International Conference on Electrical, Computer, and Energy Technologies" (IEEE ICECET 2025, Paris, France).

• Committee Member—2025—"The 27th IEEE International Conference on Advanced Communications Technology" (IEEE ICACT, 2025, Korea).

• Committee Member—2025—"12th International Conference on Computer Science, Engineering, and Information Technology" (CSEIT 2025) & (NeTCoM2025), Toronto, Canada.

• Committee Member—2024—"5th International Conference on NLP & Artificial Intelligence Techniques" (NLAI, 2024, Switzerland)

• 2023-2025 - MDPI-Cancer, Sensors, Journal of Imaging, Sustainability.

• 2024 - 2025 - Springer, Scientific Reports, Cluster Computing, Cloud Computing

• 2024 - 2025 - Taylor & Francis

• 2024 - Elsevier - Reliability Engineering, Psychiatry Research, Heliyon

• 2024 - IEEE Access