PhD (Computer Science), National University of Computer and Emerging Sciences, Islamabad, 2025

MS (Computer Science), National University of Computer and Emerging Sciences, Islamabad, 2020

BS (Computer Science), COMSATS University, Vehari, 2017

Mr. Adil Majeed joined FAST National University of Computer and Emerging Sciences Islamabad in August 2022 and currently serves as an Assistant Professor of Computer Science. He is an AI researcher specializing in Natural Language Processing, Multimodal Emotion Detection, and Generative AI. His work centers on reducing the gap between resource-poor languages and modern artificial intelligence. His technical expertise covers the contemporary AI stack, including Large Language Models, Retrieval Augmented Generation, LangChain, Transformer architectures, and multimodal modeling. He received the Silver Medal from FAST NUCES Islamabad for his postgraduate studies. Publication: Journal: 1. Adil Majeed, Hasan Mujtaba. 2025. UMEDNet: a multimodal approach for emotion detection in the Urdu language. PeerJ Computer Science 11:e2861 https://doi.org/10.7717/peerj-cs.2861 2. Adil Majeed, Usama Imtiaz, M. Asif Nseem, Muhammad Aleem, Waseem Shahzad, Mirza Omer Beg, and Hasan Mujtaba. Extracting emotion from resource poor language through transfer learning. Multimedia Tools and Applications (2024): 1-18. 3. Adil Majeed, Mirza Omer Beg, Umair Arshad, and Hasan Mujtaba. Deep-EmoRU: mining emotions from roman urdu text using deep learning ensemble. Multimedia Tools and Applications 81, no. 30 (2022):43163-43188. Conference: 1. Adil Majeed, Hasan Mujtaba, and Mirza Omer Beg. Emotion detection in roman urdu text using machine learning. In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, pp. 125-130. 2020. 2. Muhammad Umair, Muhammad Farrukh Bashir, Adil Majeed, Waseem Shahzad, and Mirza Omer Beg. Corpus for emotion detection on roman urdu. In 2019 22nd International Multitopic Conference(INMIC), pp. 1-6. IEEE, 2019.