A comparative analysis of Braille generation technologies. - Maham Nadeem; Nida Aziz; Umar Sajjad; Faizan Aziz; Hammad Shaikh (ICARM, 2016)

Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. - Hammad Shaikh; Arghavan Modiri; Joseph Jay Williams; Anna N. Rafferty (EDM, 2019)

Using Adaptive Experiments to Rapidly Help Students. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Jacob Nogas; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (AIED (2), 2021)

Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Andrew Petersen 001; Joseph Jay Williams (SIGCSE, 2021)

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. - Joseph Jay Williams; Jacob Nogas; Nina Deliu; Hammad Shaikh; Sofia S. Villar; Audrey Durand; Anna N. Rafferty (CoRR, 2021)

How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. - Angela M. Zavaleta Bernuy; Ziwen Han; Hammad Shaikh; Qi Yin Zheng; Lisa-Angelique Lim; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (LAK, 2022)

Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment. - Runlong Ye 002; Pan Chen; Yini Mao; Angela Wang-Lin; Hammad Shaikh; Angela M. Zavaleta Bernuy; Joseph Jay Williams (SIGITE, 2022)

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. - Angela M. Zavaleta Bernuy; Runlong Ye 002; Elexandra Tran; Naaz Sibia; Abhijoy Mandal; Hammad Shaikh; Bogdan Simion; Michael Liut; Andrew Petersen 001; Joseph Jay Williams (Koli Calling, 2023)

A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms. - Priya Mathur; Hammad Shaikh; Farhan Sheth; Dheeraj Kumar; Amit Kumar Gupta (IEEE Access, 2025)