Professor Abdulsalam Ya'u Gital is a distinguished academic and researcher in the field of computer science at Abubakar Tafawa Balewa University (ATBU), Bauchi. He holds a BTech and MSc in Computer Science from ATBU, obtained in 2003 and 2010 respectively, and earned his PhD in Computer Science from the University of Technology Malaysia (UTM). Currently, he serves as the Director of ICT and the Deputy Dean of the Faculty of Science at ATBU.

A professional member of several prestigious organizations, Professor Gital's affiliations include the Association for Computing Machinery (ACM), IEEE Computer Society, Nigerian Computer Society (NCS), Computer Professional Registration Council of Nigeria (CPN), International Association of Engineers (IAENG), Pervasive Computing Research Group (PCRG) UTM, Teachers Registration Council of Nigeria, and Teachers Without Borders African Regional Chapter. He is also a Fellow of the Institute of Creative and Innovative Management in Nigeria (FCIMN) and the Institute of Business Diplomacy and Financial Management (FBDFM).

Professor Gital has made significant contributions to his field through the supervision of numerous PhD and MSc theses in computing. He has also served as an external examiner for postgraduate programs at the University of Kwazulu-Natal (South Africa), Near East University (Nicosia, Cyprus), and Federal University Dutse (Nigeria). He has been the recipient of multiple research grants, including the Institutional Based Research (IBR) Grant Awards in 2017 and 2018, and the National Research Fund (NRF) Award in 2021.

His research interests encompass deep learning, cloud computing, intelligent systems, and the Internet of Things (IoT). Notable publications include "A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram" (2023), "Emotional artificial neural networks and gaussian process-regression-based hybrid machine-learning model for prediction of security and privacy effects on M-banking" (2022), and "An Improved Model for Electricity Load and Price Prediction Using Hybrid Deep Learning Algorithms: A Comprehensive Review" (2023). Professor Gital's extensive work has been widely recognized in international refereed journals and conferences, highlighting his significant contributions to the field.