Saqib Hayat

Assistant Professor
  • Department Of AI & Data Science
  • saqib.hayat@nu.edu.pk
  • (041) 111-128-128
  • Ext: 311

Introduction

Dr. Saqib Hayat is an Assistant Professor in Artificial Intelligence and Data Science at the National University of Computer and Emerging Sciences. He completed his PhD in Artificial Intelligence from Università Campus Bio-Medico di Roma, Italy (2021–2025), developing an EEG-based methodological framework for analyzing multimodal physiological signals to decode cognitive and affective states. He then joined the European Laboratory for Non-Linear Spectroscopy (LENS), Florence, Italy, as a postdoctoral researcher (June 2025 – May 2026), where he developed machine learning models to discriminate various meditative states, contributing to protocol design, EEG data acquisition, and classification-based analysis. Prior to his doctoral studies, he served as a Lecturer in the Department of Computer Science at the National University of Computer and Emerging Sciences, CFD (2015–2021), and earlier worked as a Software Engineer at NetSol Technologies, Lahore, developing backend solutions for automobile leasing software. He received the PhD Scholarship for the 37th cycle at Campus Bio-Medico University of Rome. His research has been published in reputable journals and international conferences. His research interests include EEG-based cognitive and affective state decoding, machine learning for neurophysiological signal analysis, computer vision, and applications in neurofeedback and mental performance training.

Education

Ph.D Artificial Intelligence, Campus Bio Medico University of Rome (2025)

M.S. Computer Science, NUCES-FAST, CFD, Pakistan (2019)

B.S(Computer Science), NUCES, Lahore, Pakistan (2013)

Publications

Saqib Hayat, Francesco Goretti, Rachele Fabbri, Chiara Noferini, Elena Cravero, Paolo Mori, Alessandro Scaglione, and Francesco S. Pavone. “Meditation Styles Are Highly Discriminable from EEG at the Subject Level With Limited Generalization Across the Population: A Machine-Learning Study.” Frontiers in Artificial Intelligence (2026): 2026-05. [IF: 6.7]

Saqib Hayat, Francesco Goretti, Chiara Noferini, Elena Cravero, Alessandro Scaglione, and Francesco S. Pavone. “EEG-Based Recognition of Meditative States and Mind-Wandering Using Machine Learning.” Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2025), 2025.

Saqib Hayat, Mazhar Hussain, and Paolo Soda. “3D Action Recognition with Motion Encoded RGB Images Using Deep Learning.” Seventeenth International Conference on Machine Vision (ICMV 2024). Vol. 13517. SPIE, 2025.

Victoria Barygina, Enrico Baria, Francesco Goretti, Elena Cravero, Saqib Hayat, and Francesco S. Pavone. “Multispectral Optical Sensor for Monitoring Psychological Stress.” Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series, Optica Publishing Group, 2024.

Hashim Yasin and Saqib Hayat. “DeepSegment: Segmentation of Motion Capture Data Using Deep Convolutional Neural Network.” Image and Vision Computing 109 (2021): 104147. [IF: 3.86]

Collaborations at National and International Level

Detail of Funded Projects