Engr Arif Hussain
Lecturer
Electronics Engineering Technology
RESEARCH INTERESTS
Sustainable Environmental Sensing, Digital Signal Processing ,Pollution Monitoring & Control, IoT and Machine Intelligence, ML & Data-Driven Modeling
Profile
Mr. Arif Hussain is an accomplished Electronics Engineer and Researcher with over six years of experience in research, teaching, and STEM outreach. He holds both a Bachelor's and Master's degree in Electrical Engineering from Sukkur IBA University, where he specialized in Electronic System Design. His academic excellence was recognized with a Gold Medal at the Master's level and a Silver Medal at the Bachelor's level.
Currently, Mr. Hussain serves as a Lecturer in Electronics Engineering Technology, where he teaches a diverse range of subjects, including Embedded Systems, Artificial Intelligence, and Signal Processing. He also supervises student projects and conducts experimental research. Prior to this, Mr. Hussain worked at Sukkur IBA University for four years, where he led an HEC-funded research project focused on improving GNSS-based navigation accuracy through the development of novel mitigation algorithms for dynamic environments. During his time at Sukkur IBA, he also served as a Teaching Assistant for various graduate-level courses.
As a researcher, Mr. Hussain has a proven track record of academic contributions, with over 10 publications in top-tier international journals, accumulating more than 130 citations. His research expertise spans Real-Time Monitoring and Sensing, Signal Processing, Data-Driven Modelling, Context-Aware Adaptive Navigation, IoT-based Intelligent System Design, and the development of ML/DL-based frameworks using TensorFlow and scikit-learn.
Mr. Hussain is an active member of the interdisciplinary research team at the Climate Change and Environmental Sustainability Center, where his work focuses on investigating the causes of environmental degradation and developing sustainable solutions. He recently secured funding for the Sindh AIRQ project through the Research Seed Grant Program 2024. This project, inspired by Pakistan’s National Clean Air Policy, aims to implement sustainable, real-time sensing and hyper-local monitoring of air pollution in Khairpur District. Additionally, Mr. Hussain has received funding from IGNITE – National Technology Fund for Final Year Projects (FYP) and has supervised four FYP projects, primarily focused on IoT-based intelligent solutions for local challenges.
Beyond teaching and research, Mr. Hussain has consistently been entrusted with various administrative responsibilities. He previously served as Deputy Director of Marketing and Outreach (2023-24), where he led a strategic outreach program aimed at promoting technical education throughout Sindh Province. This program included a series of awareness seminars, hands-on workshops, community meetings, and participation in tech and educational expos, resulting in a 30% increase in student intake for technology programs.
Mr. Hussain is currently the Focal Person for the Dual-Degree Program offered jointly by Yunnan Communications Vocational and Technical College (YCVTC), China, and BBSUTSD. The first cohort of six students from the DAE program began their transformative journey in this dual-degree program on October 8th, 2024, studying at YCVTC as part of this international collaboration.
Qualification
• March 31, 2022. Munich Aerospace Research Fellowship, Germany
• March 26, 2022. Awarded with Gold Medal in Masters’ Degree Program on securing top-rank.
• January 23, 2021. Outstanding Research Award for Publishing 6 Research Papers from Thesis.
• February 03, 2020. Awarded with Institutional Merit Scholarship for outstanding academic performance
• March 10, 2018. Awarded with Silver Medal for Second Place in Bachelor’s Degree Program.
• August 15, 2013. Awarded with 4-Year Talent Hunt Scholarship for Bachelor’s Degree.
- Pakistan Engineering Council (ELECT- 63873)
RESEARCH PUBLICATIONS (JOURNAL)
- Magsi, H., Shah, M. A., & Hussain , A. (2024). Adaptive Navigation Based on Multi-Agent RSQM Algorithm. in in ELECTRONICS (IF = 2.69) - Under review
- Magsi, H., Shah, M. A., & Hussain , A. (2024). Environment adaptive navigation (EAN): A data-driven approach for improved navigation accuracy. Mehran University Research Journal Of Engineering & Technology, 43(3), 175-182, DOI: https://doi.org/10.22581/muet1982.3216.
- Hussain et al. “Mitigating the Effects of Multipath in GNSS using Environmental Context Detection” in APPLIED SCIENCES (IF = 2.83), vol. 12, Issue. 23, 2022, DOI: https://doi.org/10.3390/app122312389.
- Hussain et al. “Adaptive Data Length Method for GPS Signal Acquisition in Weak to Strong Fading Conditions," in ELECTRONICS (IF = 2.69), vol. 10, Issue. 14, 2021, DOI: https://doi.org/10.3390/electronics10141735.
- Hussain, A. Ahmed, H. Magsi and R. Tiwari, "Adaptive GNSS Receiver Design for Highly Dynamic Multipath Environments," in IEEE ACCESS (IF = 3.47), vol. 8, pp. 172481-172497, 2020, DOI: 10.1109/ACCESS.2020.3024890.
- Hussain et al. “Complexity and Limitation of GNSS Signal Reception in Highly Obstructed Environments," in ENGINEERING, TECHNOLOGY & APPLIED SCIENCE RESEARCH, vol. 11, pp. 6864-6868, 2021, DOI: https://doi.org/10.48084/etasr.3908.
- Hussain et al. “The Effects of Using Variable Lengths for Degraded Signal Acquisition in GPS Receivers”, in INT. JOURNAL OF ELECTRICAL & COMPUTER ENGINEERING (SNIP = 0.68), Vol. 11, no. 4, http://doi.org/10.11591/ijece.v11i4.pp3201-3211.
- Hussain, et al. “Design and Analysis of NEWS Category Predictor”, in ENGINEERING, TECHNOLOGY & APPLIED SCIENCE RESEARCH, Vol. 10, pp. 6380-6385, 2020, DOI: https://doi.org/10.48084/etasr.3825.
- Hussain, A. Hussain, R. Shah and S. Ali, “Mini Rover-Object Detecting Ground Vehicle (UGV)”, the UNIVERSITY OF SINDH JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY, Vol.3, 2019, https://sujo2.usindh.edu.pk/index.php/USJICT/article/view/234.
INTERNATIONAL CONFERENCE PROCEEDINGS (PEER-REVIEWED)
- Magsi, S.H.H Shah, A. Hussain, "Performance Analysis and Quantification of BeiDou Navigation Satellite System (BDS-3)," 2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, Pakistan, 2023, pp. 1-6, DOI: 10.1109/iCoMET57998.2023.10099200.
- Shah, A. Hussain, M.A. Shah and H. Magsi, “Improved Navigation Performance Based on Received Signal Quality Monitoring (RSQM)”, Mediterranean Geosciences Union Annual Meeting (MedGU-2022) - Accepted.
- Magsi, A. Hussain, M.A. Shah and H.Shah, “Accurate Monitoring and Timely Prediction of Ionospheric Scintillation using Support Vector Machine”, Mediterranean Geosciences Union Annual Meeting (MedGU-2022) - Accepted.
- Hussain et al., “Multi-GNSS Navigation Performance Assessment and Improvement Quantification” in Proceedings of the 7th International Conference on Aerospace Science & Engineering, Islamabad, Pakistan, Dec 2021, pp. 252-258.
- Magsi, A. Hussain, A. Ahmed, S. Kumari and Faiza “Investigation of Ionospheric Scintillation using BeiDou during Geomagnetic and Non-geomagnetic Storm Conditions Over Pakistan”, International Conference on Aerospace Science & Engineering (ICASE-21), Islamabad, December, 2021, pp 1-5, DOI: 10.1109/ICASE54940.2021.9904148.
- Hussain and A. Ahmed, “Investigation of Ionospheric Scintillations and Total Electron Content (TEC) Over Mid-latitudinal Region (Pakistan)," International Conference on Aerospace Science & Engineering (ICASE-19), Islamabad, 2019, pp. 1-5, DOI: 10.1109/ICASE48783.2019.9059232 .
- Magsi, A. Ahmed and A. Hussain “Real-Time Monitoring and Logging of Ionospheric Scintillation and Total Electron Content”, International Conference on Aerospace Science & Engineering (ICASE-19), Islamabad, 2019, pp. 1-6, DOI: 10.1109/ICASE48783.2019.9059198.
Book Chapter(s)
1. Shah, M.A.,
Hussain, A., Shah, S.H.H., Hussain, I., Magsi, H. (2024). Improved Navigation Based on Received Signal Quality Monitoring (RSQM). In: Chenchouni, H., et al. Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham.
2. Magsi, H., Hussain, A., Shah, S.H.H., Shah, M.A., Abro, S.A., Ahmed, J. (2024). Accurate Monitoring and Timely Prediction of Ionospheric Scintillation Using Support Vector Machine. In: Chenchouni, H., et al. Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham
