Mohammad Siddiqui

Dr. Mohammad Siddiqui is an Assistant Professor of Computer Science at the College of Engineering, West Texas A&M University. He previously served as a Lecturer at the University of North Carolina at Greensboro from 2018 to 2019. He holds a B.Tech in Computer Engineering (2005), an M.Tech in Software Engineering (2012), and a Ph.D. in Computer Science Engineering (2019) from Aligarh Muslim University and the University of Toledo, respectively.

• B.Tech in Computer Engineering, Aligarh Muslim University (2005)
• M.Tech in Software Engineering, Aligarh Muslim University (2012)
• Ph.D. in Computer Science Engineering, University of Toledo (2019)

His research focuses on Multi-modal Human-Computer Interaction, Computer Vision, Deep Learning, and Augmented Reality. Current projects explore emotion-aware computing using deep learning to enhance user-device interactions. He also investigates immersive educational technologies, such as VR/AR tools for mathematics and engineering education.

Dr. Siddiqui’s recent work spans VR applications for calculus visualization (2024), deep learning in remote sensing (2024), and multimodal emotion recognition frameworks (2020-2022). Earlier contributions include data stream management systems (2008-2012), genetic algorithm-based data fusion (2017), and cybersecurity applications like real-time fraud detection (2011).

• Labs/Teams: Human-Machine Teaming Laboratory (HMT Lab), Immersive Technologies Lab, and Robotics Playground

Teaching includes courses on Operating Systems, Computer Architecture, Software Engineering, and Senior Capstone Projects. He actively contributes to the ECORE Lab and collaborates on the Water Working Group’s interdisciplinary projects.