Scholar
Maaz Amjad
Google Scholar ID: RqVvW3cAAAAJ
Texas Tech University
Citations & Impact
Citations
489
H-index
11
i10-index
13
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- No specific details provided about academic achievements.
Research Experience
- Prior to joining Texas Tech, was a Provost Early Career Fellow and Postdoctoral Fellow at The University of Texas at Austin, United States.
Education
- Ph.D. in Computer Science from Instituto Politécnico Nacional (2022), M.S. in Applied Mathematics and Informatics from Moscow Institute of Physics and Technology (2017), and B.S. (Hons.) in Mathematics from GC University (2015).
Background
- Assistant Teaching Professor in the Department of Computer Science at Texas Tech University. Scholarly focus is on AI for Social Good, specializing in Applied Machine Learning, Large Language Models, and Natural Language Processing (NLP) with interdisciplinary applications to address pressing societal challenges such as combating misinformation, detecting hate speech, and developing technologies to improve public health and well-being. Particularly interested in exploring how AI can be utilized in Education, especially in enhancing student learning and engagement, and improving assessment methodologies.
Miscellany
- In spare time, loves to get in touch with nature, believing that distances and differences are the secret tonics of creativity. Always ready for new experiences and understanding the beauty of nature. Likes to develop social attraction with people and know about their valuable information. Is an open-minded person with a positive attitude and loves to meet open-minded people too.
