Emerging Technologies Research Lab Patents & Innovation - College of Computer Science & Information Systems
The Emerging Technologies Research Lab (ETRL) is the flagship research center within the College of Computer Science and Information Systems at Najran University, Kingdom of Saudi Arabia. Founded in 2024, ETRL is dedicated to advancing the frontiers of science, innovation, and technology through high-impact research, collaborative development, and real-world application of next-generation technologies.
ETRL operates as a research junction in emerging technologies, innovation-driven lab, focused on solving national and global challenges by harnessing the potential of Artificial Intelligence (AI), Blockchain, Quantum Computing, Cybersecurity, Software Systems, Internet of Things (IoT), Virtual and Augmented Reality (VR/AR), and Spatial Computing.
The lab serves as: - A strategic engine for digital transformation aligned with Saudi Vision 2030. - A collaborative platform for faculty, students, industry, and government partners. - A training hub for future tech leaders equipped with 21st-century skills. - A launchpad for world-class research, patents, publications, and commercialization.
To be a regional leader and global contributor in cutting-edge research and innovation across emerging digital technologies, empowering human-centered solutions that shape the future.
The Emerging Technologies Research Lab (ETRL) drives interdisciplinary research, fosters academic–industry collaboration, and builds national capabilities in frontier technologies. We aim to transform scientific inquiry into practical innovation aligned with the Kingdom’s Vision 2030 and global digital transformation.
- Innovation: Embrace bold, transformative thinking
- Collaboration: Build bridges across disciplines and sectors
- Integrity: Uphold ethical, transparent research practices
- Impact: Address real-world challenges with measurable outcomes
- Excellence: Maintain global standards in science and scholarship
- Conduct and publish high-impact research.
- Foster interdisciplinary and cross-sector collaborations.
- Equip students with future-ready skills through experiential learning.
- Generate intellectual property and enable commercialization.
- Align with Vision 2030 digital transformation and national innovation priorities.
- Establish ETRL as a regional hub for emerging tech excellence.
- Artificial Intelligence & Machine Learning
- Quantum Computing
- Blockchain & Web3
- Internet of Things (IoT)
- Cybersecurity & Digital Trust
- Software Systems
- Augmented & Virtual Reality (AR/VR)
- Spatial Computing
- HealthTech & Bioinformatics
- Ethical AI & Policy
Patents & Innovation
- 4 U.S. patent applications filed (2023–2025)
- Covering domains such as AI in healthcare, IoT-based monitoring, emotion recognition, and vehicle safety systems
- 1 granted patent in intelligent emotion recognition systems
Patents & Innovation Output
1. Mana Saleh Al Reshan, Qurat-ul-Ain Mastoi, Mohammed Hamdi, Samar M. Alqahtani, Adel Sulaiman, Hani Alshahrani, Asadullah Shaikh, and Darakhshan Syed. Internet of Medical Things Driven Automated Realtime Detection of Premature Ventricular Contraction. U.S. Patent Application19/082,988, Filing Date March 18, 2025.
2. Hani Alshahrani, Yousef Asiri, Adel Sulaiman, Mohammed Hamdi, Asadullah Shaikh, and Mohammad Tabrez Quasim. Artificial Intelligent based System For Customer Recommendation and Notification and its Process Thereof. U.S. Patent Application 18/067,169, Publication Number: 2023/0124147 A1, Publication Date April 20, 2023. [PDF]
3. Alghamdi, Abdullah, Asadullah Shaikh, Mohammad Tabrez Quasim, Mesfer Alrizq, Surbhi Bhatia, Al Reshan, Mana Saleh, and Shadab Alam. Emotion Recognition and Notification System. U.S. Patent Application 17/809,428, Publication Number: 2022/0335752 A1, Publication Date October 20, 2022. [Patent Publication ] [Granted Patent] [PDF]
4. Adel Sulaiman, Abdullah Alghamdi, Hani Alshahrani, Sultan, Alyami, Mana Saleh Al Reshan, Yousef Asiri, Mohammad Alsulami, Asadullah Shaikh, Samar M. Alqahtani, Mohammad Tabrez Quasim. AI-Based System For Warning and Managing Operations of Vehicles at Higher Speeds. U.S. Patent Application 18/081,836, Publication Number: 2023/0121366 A1, Publication Date April 20, 2023. [PDF]
These patents are outputs of collaborative and interdisciplinary innovation across lab faculty.