Journal of Robotics, Automation and Smart Systems

Professor Yousef Farhaoui is a faculty member in the Department of Computer Science at the Faculty of Sciences and Techniques of Errachidia, Moulay Ismail University, Morocco. He is the Director of the IMIA Research Laboratory and is internationally recognized among the top 2% most influential researchers worldwide according to the Stanford & Elsevier rankings for 2023–2025. His work spans machine learning, big data, artificial intelligence, cybersecurity, and decision support systems. He has supervised several PhD theses, coordinated major academic programs, and played leading roles in many international conferences and scientific events.

• Machine Learning
• Deep Learning
• Data Mining
• Big Data
• Solar Energy Prediction
• IoT Security
• Biomedical Signal Processing
• Cloud Computing
• Cryptography & Authentication Protocols

1. Director of IMIA Laboratory
2. Supervisor of PhD theses
3. Member of thesis juries and recruitment committees
4. Organizer & Coordinator of numerous international conferences (ICAISE, Big Data & Business Intelligence, etc.)

1. Utilizing Machine Learning and Deep Learning for Predicting Cryptocurrency Trends (2024)

2. Gamification and Computational Thinking in Education: A Systematic Literature Review (2024)

3. Gamification in Corporate Training Context with the EU ZEIN Project (2023)

4. Conceptualizing Learning Design with LAMS and CADMOS (2023)

5. Cryptanalysis of Farash et al.'s SIP Authentication Protocol (2018)

6. Securing Biomedical Audio Data in IoT Healthcare Systems (2024)

7. Fetal ECG Prediction using Random Forest (2024)

8. CNN-Based Approach for Skin Lesion Classification (2023)

9. Fetal & Maternal ECG Prediction using CNN (2023)

10. Pre-trained CNNs: Emergency Vehicle Image Classification (2023)

11. Dynamic Threshold Fine-Tuning for Solar Optimization (2023)

12. Extraction of Fetal ECG Signal using K-means (2023)

13. Influence of Cloud BI on SMEs in Morocco (2023)

14. Deep Learning for Date Palm Disease Classification (2023)

15. Data Mining & ML for Predicting Student Success (2023)

16. Diabetes Prediction using ML Algorithms (2023)

17. BI Data Transition to Cloud (2024)

18. ML Analysis of Lithium-Ion Battery Behavior (2024)

19. ML in Fetal Health Analysis (2024)

20. Marketing Information System for SMEs (2019)

21. NMF Method for Detecting RR Interval (2019)

22. Security Analysis of IoT Authentication Protocol (2019)

23. Comparative Study of Classification Algorithms (2018)

24. Big Data Analytics Applied for Control Systems (2018)

25. Weakness in SIP Authentication Protocol (2018)

26. Survey of Smartphone Usage in Moroccan Rural Areas (2021)

27. Design of Intrusion Prevention System (2017)

28. Solar Power Forecasting with Boosting Cascade Forest (2024)

29. Intelligent Security Mechanism for Mobile Ad-Hoc Networks (2024)

30. Meta-Learning for Solar Radiation Forecasting (2024)

31. AEFS-KENN Big Data Security Framework (2024)

32. AOMA-DSLC IDS Framework for MANET Security (2024)

33. AI Prediction System for Date Palm Disease (2024)

34. Privacy Protection for Mobile Location-Based Services (2023)

35. Manta-Ray Optimization for Gesture Recognition (2023)

36. Human Action Recognition Using DoG & Wavelet (2023)

37. ML Framework for Date Palm Disease (2023)

38. Cloud-Based Intrusion Detection Using Machine Learning (2023)

39. Ensemble Learning for Industrial IoT Security (2023)

40. Deep Learning + SVD-ICA-NMF for Fetal ECG Extraction (2023)

41. Energy-Efficient Adders for IoT (2023)

42. IoT in Health Sector: Minimizing Energy Consumption (2022)

43. Predicting Students’ Final Performance using ANN (2022)

44. Feature Selection for Solar Irradiance Prediction (2022)

45. Date Palm Disease Classification with ML (2022)

46. Reducing IoT Energy Consumption in Medical Field (2022)

47. Sentiment Analysis ML Approaches (2022)

48. Predicting Moroccan Court Case Outcomes (2021)

49. AI & ML for Student Performance During COVID-19 (2021)

50. Internet of Things: Energy Consumption & Storage (2020)

51. Supply Chain Payment Optimization Strategy (2020)

52. Analytics of Chronic Kidney Disease (2019)

53. SPIT Detection in Telephony over IP using K-Means (2019)

54. Blind Maternal-Fetal ECG Separation (2018)

55. Cryptanalysis of SIP Authentication Protocol (2018)

56. Secure SIP Authentication Scheme using ECC (2018)

57. Deep-PDSC: Deep Learning for Date Palm Disease (2023)

58. Cryptocurrency Returns Clustering using Candlesticks (2023)

59. Healthcare Providers Recommender System (2022)

60. Intelligent System for Water Quality Detection (2020)

61. Experimental Validation of SIP Authentication (2020)

62. Nesterov Step Reduced Gradient Algorithm (2020)

63. Data Mining & ML for Diabetes Diagnosis (2020)

64. Scientific & Technical Information System for FSTE (2020)

65. Recommender System for Student Orientation (2020)