Teaching & Learning Philosophy

My personification of teaching & learning philosophy is a practice of nurturing students with flawless education by providing impeccable skills and knowledge by teaching them in a way that creates passion and zeal for lifelong education. I subscribe to the theory of cognitivism in education with the goal of opening the black box of the human mind. I practice the learner-centric pedagogical approach to teaching with a combination of constructive, collaborative, inquiry-based, creative, and reflective methods. Most of my lectures are focused on real-world examples within the classroom (face-to-face or online).  I believe teaching is a dedicated art of learning in our chosen discipline by bringing the best to our students to make the future a better place. 

Teaching has always been my passion and it stems from the personal satisfaction obtained on the basis of effective teaching by demonstrating a deep understanding of the curriculum. My teaching is focused on topics such as Research Methods (Doctorate Level), Cybercrime & Cybersecurity (Master Level), Research Methodology (Master Level), Computer Forensics (Master Level), Cryptography (Master Level), Digital Forensics Investigation (Advance Level) (Master Level), Network Security, Database Security, Business Research (Master Level), Wireless Networking & Ubiquitous Technologies, and Computational Mathematics. 

Workshops & Webinars

Short Courses

1. Police Training Course in IT (2010 - 2013).

Supervision (Selected Undergraduate & Postgraduate Projects)

Supervised (Supervising) postgraduate projects in the field of Cybersecurity & Networking: 

1. Cybersecurity Challenges in Generative Artificial Intelligence: Threat Landscape and Defence Strategies (Ongoing)

2. Leveraging AES with Envelope Encryption in the Era of Cloud Computing (Ongoing)

3. Towards a smart traffic congestion control in Vehicular Ad-Hoc Network (VANET).

4. A smart Software Defined Network (SDN) architecture for load balancing in WLAN.

5. Automatic Forensic Tracking tool for the analysis of phishing emails 

6. Impact of Cialdini’s principles of influence and users’ characteristics on the ability to detect phishing emails in Mauritius.

7. A study of solid authentication methods to prevent unauthorized access.

8. Privacy in Cybersecurity.

Supervised (Supervising) undergraduate projects in the field of Cybersecurity & Networking:

1. Securing Critical Infrastructure and Sensitive Data from Drone Intrusions (Ongoing)

2. Honeypot System for Malware Capture and Analysis (Ongoing) 

3. AI-powered Countermeasures for Deepfake Diffusion and Misinformation Warfare(Ongoing)

4. Towards an Explainable AI Model for Accurate Breast Cancer Diagnosis and Prognosis (Ongoing)

5. Detection of Cyberbullying on Cyberspace using Convolutional Neural Network algorithm.

6. Cybercriminal Profiling: An investigation tool against cybercrime.

7. Mitigation of Ransomware Attacks using Defense-In-Depth approach.

8. Cyber Espionage Prevention System.

9. Breast Cancer Detection using Machine Learning

10. Accident Management System based on Vehicular Network. 

11. Network Packet Sniffer to protect a network & its data from hackers.

12. Plagiarism Detection using Recurrent Neural Network.

13. Predicative Analysis tool for everyday health problems.

14. Social Media mining for Crime Prediction.