Projects

Achieved Funded Projects

Competed Project: __________________________________________________________________________________________________________

1.    This research is funded by Princess Nourah bint Abdulrahman University Riyadh, Saudi Arabia, with Researchers Supporting Project number (PNURSP2024R527). We have achieved the following articles.

a)      Ali, Sumbal, Muhammad Rahim, Sanaa A. Bajri, Sadique Ahmad, Rabab Alharbi, and Hamiden Abd El-Wahed Khalifa. "α, β, γ−  Neutrosophic aggregation operators and their applications in the software site selection." Heliyon 10, no. 10 (2024).

b)      Rahim, Muhammad, Sadique Ahmad, Sanaa A. Bajri, Rabab Alharbi, and Hamiden Abd El-Wahed Khalifa. "Confidence Levels-Based p, q, r–Spherical Fuzzy Aggregation Operators and their Application in selection of Solar Panels." IEEE Access (2024).

2.    This research was funded by Princess Nourah bint Abdulrahman University Riyadh, Saudi Arabia, with Researchers Supporting Project Number: PNURSP2024R234. We have achieved the following articles.

a)      Haq, Mahmood Ul, Muhammad Athar Javed Sethi, Najib Ben Aoun, Ala Saleh Alluhaidan, and Sadique Ahmad. "CapsNet-FR: Capsule Networks for Improved Recognition of Facial Features." Computers, Materials & Continua 79, no. 2 (2024).

b)      Hameed, Sarmad, Irfan Khan Tanoli, Talha Ahmed Khan, Sadique Ahmad, Ala Saleh D. Alluhaidan, Pawel Plawiak, Mohamed Hammad, and Abdelhamied A. Ateya. "A Novel Self-Healing Genetic Algorithm for Optimizing Single Objective Flow Shop Scheduling Problem." Arabian Journal for Science and Engineering (2024): 1-16.

3.    HEC Pakistan awarded research project in the category of National Research Program for Universities (NRPU) to Iqra University, Karachi, Pakistan. The grant number is: 20-15283/NRPU/R&D/HEC/2021

Project Summary:

In Pakistan, educational stress significantly impacts students' mental health, leading to anxiety and depression that can hinder cognitive and emotional development. This study aims to quantify anxiety and depression among students using both physiological and qualitative measures, leveraging advanced statistics and AI. By developing a hybrid assessment approach, we seek to create practical solutions for effective counseling and intervention. We have achieved the following articles.

a)    Khuda, Ikram E., Sadique Ahmed, and Abdelhamied Ashraf Ateya. "STEM-Based Bayesian Computational Leaning Model-BCLM for Effective Learning of Bayesian Statistics." IEEE Access (2024).

b)    Khuda, Ikram E., Azeem Aftab, Sajid Hasan, Samar Ikram, Sadique Ahmad, Abdelhamied Ashraf Ateya, and Muhammad Asim. "Trends of Social Anxiety in University Students of Pakistan Post-COVID-19 Lockdown: A Healthcare Analytics Perspective." Information 15, no. 7 (2024): 373.

4. Enhancing SIEM (Security Information and Event Management) using AI Description: Reducing false alarms of Splunk using AI.

Students’ Supervision

I have supervised approximately 15 students across various levels, including bachelor's, master's, and Ph.D. programs, at universities in China, Pakistan, and the United States. This diverse experience has allowed me to guide students from different educational and cultural backgrounds, helping them to develop their research skills and achieve their academic goals