Engr. Muhammad Abid Hussain

My name is Muhammad Abid Hussain, and I am working as a Lab Engineer at the Department of Computer Science, National University of Sciences and Technology (NUST), Pakistan. I completed MS in Computer Science from National University of Sciences and Technology (NUST), under the supervision of Prof. Dr. Imran Usman, in 2025. Previously, I completed Bachelor’s in Computer Engineering from Bahauddin Zakariya University (BZU), Pakistan in 2016.

EXPERIENCE

Lab Engineer (July 2019 to Present)

Department of Computer Science
NUST Balochistan Campus (NBC), Quetta
https://nbc.nust.edu.pk/faculty/muhammad-abid-hussain-2/

CMS Coord ERP /AM App (Feb 2024 to Oct 2024)

Department of ICT
NUST Balochistan Campus (NBC), Quetta
https://www.linkedin.com/in/engr-muhammad-abid-hussain-60b6a2124/

EDUCATION

[MS. Computer Science] Feb 2025
NATIONAL UNIVERSITY OF SCIENCES & TECHNOLOGY (NUST), PAKISTAN
CGPA (3.80/4)
Major Courses: Advanced Machine Learning, Advanced Image Processing, Wireless Sensor Networks, Advanced Computer Architecture and Genetic Programming.
Thesis Title: EEG-Based Identification of Native and Non-Native Language Perception Using Deep Learning
[B.Sc. Computer Engineering] Aug 2017
UNIVERSITY COLLEGE OF ENGINEERING & TECHNOLOGY BZU, MULTAN
PERCENTAGE = 70.99%
Major subjects: Digital System Design, Computer Networks, Computer architecture, Embedded systems, Programming languages

RESEARCH INTEREST

Brain-Computer Interface (BCI) | EEG
Machine Learning & Deep learning
Information Security, Cyber Security

PUBLICATIONS

Khan, Arbaaz Ali and Muhammad Abid Hussain. "PromptShield: Machine-Learning-Based Detection of Prompt Injection Attacks in Large Language Models." Accepted for publication in the Proceedings of the IEEE Technically Co-sponsored 1st International Conference on Synergies in Next-Generation Cyber-Physical Systems (SNGC 2026), Cardiff, United Kingdom, September 16–18, 2026.
Hussain, Muhammad Abid, Muhammad Arslan, Taymoor Khalid, Heider A. Wahsheh, Mohsin Raza Jafri, and Wajeeha Tariq Ansari. "Recognizing Occupancy and Activities with PIR Sensors and LSTM-RNN." Proceedings of the IEEE 5th International Conference on Computing and Machine Intelligence (ICMI 2026), Al-Ahsa, Saudi Arabia, April 9–10, 2026.
Hussain, Muhammad Abid and Imran Usman. "EEG-Based Identification of Native and Non-Native Language Perception Using Deep Learning." 2025 IEEE International Conference on Communication Technologies (ComTech), Rawalpindi, Pakistan, April 23–24, 2025. IEEE.
Sheharyar, Muhammad, Alamgir Naushad, Imran Khan, Muhammad Abid Hussain, and Faizullah Khan. "Study on Fixed and Dynamic Spectrum Access Models for Cellular Networks." Journal of Telecommunications and the Digital Economy, vol. 10, no. 2, pp. 267–287, 2022. DOI: 10.3316/informit.587417384322331.
Ubaidullah, Muhammad Abid Hussain, Mohsin Raza Jafri, Rozi Khan, Moid Sandhu, Abd Ullah Khan, and Hyundong Shin. "Adaptive Hybrid Optimizer Based Framework for Lumpy Skin Disease Identification." arXiv preprint arXiv:2601.01807, January 5, 2026.

THESIS & PROJECTS

MS Thesis

Title: EEG-Based Identification of Native and Non-Native Language Perception Using Deep Learning
This thesis investigates deep learning approaches for identifying native and non-native auditory perception using EEG signals. Models such as LSTM, GRU, CNN-LSTM, Bi-LSTM, and DNN were trained on EEG data from 20 participants using in-ear and bone-conducting headphones. Among these, Bi-LSTM achieved the highest accuracy (F1-score: 0.99%), especially with bone-conducting headphone data. The results highlight Bi-LSTM’s strength in capturing temporal dependencies and the superiority of bone-conducting EEG recordings for cleaner, more reliable signals.

Final_Thesis.pdf

MS Final Defense Presentation.pdf

BS Thesis

Title: Innovative Railway Track Surveying with Sensors and Controlled by Wireless Communication
This project presents a Railway Track Surveying System using sensors and wireless communication for real-time train monitoring. The system integrates GPS and GSM modules with an Arduino to track and transmit the train’s location (latitude and longitude) via SMS. An ultrasonic sensor detects obstacles for anti-collision, while a servo motor controls the railway gate automatically, ensuring safety and efficiency.

NUST BSCS Supervised Projects

19.pptx

9.pptx

HONORS & AWARDS

Win Final Year Project (FYP) Project Ideas in ICT(R & D) Islamabad, Pakistan.
NUST nominated as Focal Person for NAB Balochistan Events, Quetta, Pakistan.

MEMBERSHIPS

Pakistan Engineering Council, ISLAMABAD, PAKISTAN
- Discipline: Computer Engineering “COMP/17437”
2023 Certificate of IEEE Membership
- IEEE Young Professionals Certificate of Membership