Namal University

DR. BACHA REHMAN

ASSISTANT PROFESSOR / HOD
  • Department of Computer Science
  • 151
  • bacha.rehman@namal.edu.pk
Summary

Dr. Bacha Rehman has completed his PhD in Computer Science from Universiti Brunei Darussalam (UBD), Brunei during 2019. His PhD title was “Multimodal Emotions Perception for Real-time Systems”. Previous to that, he has completed his MS in Computer System Engineering from GIK Institute of Engineering Sciences and Technology, Swabi, Pakistan. He is currently working as Assistant Professor and Head of Computer Science Department at Namal University Mianwali, Pakistan. He has a keen teaching interests in courses related to Computer Programming, Software Engineering, ML, and Computer Vision fields. His research interests are mainly related to Affective Computing, Hybrid DNNs, Multimodal Systems, Financial Time-Series Analysis, and application of ML (specifically DL Models) in various fields including Fintech, Agritech, Material Sciences, HRI and Cyber Security etc.

Academic Background
PhD in Computer Science (Multimodal Emotions Perception for Real-time Systems ) Universiti Brunei Darussalam (UBD), Brunei 2019
MS (Computer System Engineering) (Novel Methodologies for Urdu Interface Design and Speech Recognition) Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan 2012
Experience
Assistant Professor Namal University, Mianwali, Pakistan 26-Sep-2019 - continue
Journal Publications
A Unique Physics-inspired Deep-learning-based Platform Introducing a Generalized Tool for Rapid Optical-response Prediction and Parametric-optimization for All-dielectric Metasurfaces 01-Nov-2022 Nanoscale (2022)
Nanostructured chromium-based broadband absorbers and emitters to realize a thermally stable solar thermophotovoltaic system 01-Jan-2022 Nanoscale Vol. 14(17), pp.6425-6436. (2022)
Exploiting zirconium nitride for an efficient heat-resistant absorber and emitter pair for solar thermo photovoltaic systems 01-Jun-2021 Optics Express Vol. 29 (20), 31537-31548 (2021)
Face detection and tracking using hybrid margin-based ROI techniques 01-Jun-2020 The Visual Computer, Vol. 36(3), 633–647 (2020).
Artificial neural network-based speech recognition using DWT analysis applied on isolated words from oriental languages 01-Jun-2015 Malaysian Journal of Computer Science. Vol. 28 (3): 242-62 (2015)
ASCII Based GUI System for Arabic Scripted Languages: A Case of Urdu 01-Jun-2014 International Arab Journal of Information Technology (IAJIT). Vol. 11 (4) (2014)
Conference Publications
A Machine Learning-based Approach to Model Highly thermally Robust Metasurface Absorber 01-Aug-2022 In Conference on Lasers and Electro-Optics/Pacific Rim (CELO-PR). Optical Society of America, Japan
A Development Framework for Automated Facial Expression Recognition Systems 01-Jan-2021 In International Conference on Computational Intelligence in Information System (pp. 160-171). Springer, Cham. (2021, January)
Using Margin-based Region of Interest Technique with Multi-Task Convolutional Neural Network and Template Matching for Robust Face Detection and Tracking System 01-Jun-2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC), Kuala Lumpur, Malaysia, 2018, pp. 14-18.
Hybrid Model with Margin-Based Real-Time Face Detection and Tracking 01-May-2017 Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2017. Lecture Notes in Computer Science, Vol. 10607. pp. 360-369, 2017, Springer, Cham
Urdu as interface design language—A novel approach 01-Jun-2011 In Proceedings of the 1st Electronics, Communications and Photonics Conference (SIECPC), 2011 Saudi International 2011 Apr 24 (pp. 1-6). IEEE
Courses
  • Object Oriented Programming (OOP)
  • Data Analysis and Visualization
  • Data Mining
  • Quantitative and Computation Reasoning (QCR)
  • Database Systems
  • Trends in Data Centric Computing
  • Computer Vision
  • Machine Learning
  • Software Engineering
  • Professional Practices in Software Development