Dr. Muhammad Usman Ali
Specialization : Information and Communication Engineering
Email : [email protected]
Office Number : +(92) 3335246643
Muhammad Usman Ali is an Assistant Professor in the Department of Computer Science at University of Gujrat, where he has been since 2011. From September 2011 to March 2012 he served as Head of Software Development Cell, University of Gujrat. He received a B.Sc.(Math A,B and Physics) from Punjab University (at Govt. Zamindar Degree College, Gujrat.) in 2001, MCS from International Islamic University, Islamabad in 2001 and an M.S. from the University of Engineering and Technology, Taxila (at Center for Advanced Studies in Engineering, Islamabad). He received his Ph.D. in Information and Communication Engineering from the Yeungnam University of South Korea in 2018. From 2005 to 2011 he worked at Elixir Technologies, Islamabad, eventually retired as a Principal Software Engineer. His research interests span Indoor Positioning, Computer Vision for Robot Navigation and NLP (Handwriting and Speech Processing). Much of his work has been on effortless Indoor Positioning System. In the Indoor Positioning, he has worked on Calibration Free WiFi Fingerprinting using IOT Sensors and Path Loss Radio Maps.
Indoor Positioning Systems, Computer Vision, Robot Navigation, Deep Learning, Internet of Things, NLP (Handwriting and Speech Processing).
- Ph.D., Other
- MS ,University of Engineering & Technalogy Texila
- MCS,International Islamic University Islamabad (IIUI)
- B.Sc.,International Islamic University Islamabad (IIUI)
- ACM SIGBED Member
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1. F Potorti, S Park, A Crivello, F Palumbo, MU Ali “The IPIN 2019 Indoor Localisation Competition—Description and Results” Ieee Access, November 2021 DOI:
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2. I Ashraf, S Din, MU Ali, S Hur, YB Zikria, Y Park “MagWi: Benchmark Dataset for Long Term Magnetic Field And Wi-Fi Data Involving Heterogeneous Smartphones, Multiple Orientations, Spatial Diversity and Multi-floor ” Ieee Access, May 2021 DOI:
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3. VALERIE RENAUDIN, JOAQUÍN TORRES-SOSPEDRA, MUHAMMAD USMAN ALI “Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition” Ieee Access, September 2019 DOI:
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4. MUHAMMAD USMAN ALI , SOOJUNG HUR , SANGJOON PARK , AND YONGWAN PARK “Harvesting Indoor Positioning Accuracy by Exploring Multiple Features From Received Signal Strength Vector” Ieee Access, April 2019 DOI:
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5. MU Ali, S Hur, Y Park “Wi-Fi-based effortless indoor positioning system using IoT sensors” Sensors, March 2019 DOI:
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6. Muhammad Usman Ali, Soojung Hur and Yongwan Park “LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning” Sensors, May 2017 DOI:
| Date | Title | Agency/Organization | Amount | Status |
|---|---|---|---|---|
| 2013-12-31 | Digital Quran Tutor | National ICT R&D Fund | 100000 | |
| 2013-12-31 | Home Automation Using ZigBee | National ICT R&D Fund | 100000 | |
| 2013-12-31 | 3D Distance Learning Using Kinect: | National ICT R&D Fund | 100000 | |
| 2020-08-31 | IOT Based Smart Agriculture Farm | National ICT R&D Fund | 78610 | |
| 2014-12-31 | Raspberry PI Car Automation | National ICT R&D Fund | 49750 |