PhD Scholar at Beihang University, China
Muhammad Usman is a dedicated researcher and academician specializing in computer science and information technology. He commenced his academic journey by earning a Bachelor of Science (Honors) in Information Technology from Bahauddin Zakariya University (BZU), Pakistan, in 2010, with a major in computer networks. Pursuing advanced studies, he completed a Master of Science in Information and Communication Engineering at Shanghai Jiao Tong University, China, in 2015, focusing his thesis on energy harvesting in multi-relay wireless networks. Currently, he is a Ph.D. scholar in Computer Science and Technology at Beihang University (BUAA), Beijing, China, where his research centers on data-driven intelligence in the Internet of Things (IoT). Throughout his career, Muhammad Usman has contributed significantly to academia through teaching, research, and various administrative roles, reflecting his commitment to advancing the fields of telecommunication and information technology.
Profile
Orcid
Education
Muhammad Usman’s educational background is marked by a series of progressive academic achievements. He began with a Bachelor of Science (Honors) in Information Technology from Bahauddin Zakariya University, Pakistan, in 2010, where he majored in computer networks. Demonstrating a keen interest in telecommunications, he pursued a Master of Science in Information and Communication Engineering at Shanghai Jiao Tong University, China, from September 2012 to March 2015. His master’s thesis focused on energy harvesting in multi-relay-based wireless networks, under the guidance of Professors Bin Xia and Wang Xinbing. Currently, since September 2021, he is undertaking doctoral studies in Computer Science and Technology at Beihang University (BUAA), Beijing, China. His Ph.D. research, supervised by Professor Juhua Pu, concentrates on data-driven intelligence in IoT, reflecting his ongoing commitment to integrating advanced research with practical applications in telecommunication and IT.
Experience
Muhammad Usman’s professional experience encompasses various academic and technical roles. From March 2018 to the present, he has been serving as a Lecturer in the Department of Information Technology at Bahauddin Zakariya University, Multan, Pakistan, where he also holds the position of Incharge Examination. Prior to this, he worked as a Data Processing Officer in the Drug Testing Department of the Primary & Secondary Healthcare, Government of Punjab, Pakistan, from August 2017 to March 2018. He also served as a Lecturer in the Department of Computer Science at the University of Gujrat, Pakistan, from May 2015 to March 2017. Earlier in his career, from September 2012 to March 2015, he was a Research Assistant in the Department of Computer Science at Shanghai Jiao Tong University, China. These roles have provided him with a diverse set of experiences in teaching, research, and data management within the fields of information technology and computer science.
Muhammad Usman’s research interests are deeply rooted in contemporary advancements in information technology and telecommunications. His primary focus areas include wireless sensor networks, the Internet of Things (IoT), deep learning, and mobile communication. He is particularly interested in exploring data-driven intelligence within IoT ecosystems, aiming to enhance the efficiency and effectiveness of smart devices and networks. His master’s research on energy harvesting in multi-relay wireless networks reflects his commitment to developing sustainable and efficient communication systems. Currently, his doctoral research at Beihang University delves into data intelligence in wireless networks, further underscoring his dedication to advancing the integration of intelligent data processing in modern telecommunication infrastructures.
Awards
Throughout his academic journey, Muhammad Usman has been recognized with several prestigious awards. In 2021, he received the Ph.D. Scholarship Award from Beihang University, China, acknowledging his potential in advanced research. The same year, he was honored with the Taiwan International Graduate Program (TIGP) Scholarship Award, reflecting his commitment to academic excellence. In 2016, he was granted a Research and Travel Grant Award from Chalmers University of Technology, Sweden, supporting his endeavors in international research collaborations. Additionally, he received a Scholarship Award from Universidade Estadual de Campinas, Brazil, in 2016, facilitating his global academic engagements. During his master’s studies in 2012, he was recognized as an Excellent International Student at Shanghai Jiao Tong University, China, highlighting his dedication and outstanding performance in his field.
Publications
Muhammad Usman’s scholarly contributions include several notable publications:
Relay Selection in Wireless Information and Power Transfer Multi-Relay Networks with Energy Causality (2015): This paper, presented at the International Symposium of Computer Application and Information Technology in Shenzhen, China, addresses strategies for relay selection in networks that simultaneously transfer information and power, considering energy causality constraints.
Capacity Analysis of Spatially Correlated MIMO Channels with Transmit Hardware Imperfections (2015): Co-authored with Zeeshan Samad, this study, also presented at the same symposium, investigates the capacity of Multiple-Input Multiple-Output (MIMO) channels, taking into account spatial correlations and hardware imperfections in transmission.
5G and D2D Network for Smart Cities Using Internet of Thing Services (2025): Published in the Lecture Notes in Electrical Engineering (vol. 1354) by Springer, this research explores the integration of 5G and Device-to-Device (D2D) communication networks to enhance IoT services in smart city environments.
SEEVMC: A Secure, Energy-Efficient Virtual Machine Consolidation Approach for QoS in Cloud Data Centers (2025): Featured in the ETRI Journal, this paper proposes a novel approach to virtual machine consolidation in cloud data centers, aiming to improve security and energy efficiency while maintaining quality of service.
Conclusion
Muhammad Usman’s academic and professional trajectory exemplifies a profound commitment to advancing the fields of computer science and information technology. His educational background, enriched by international experiences, has equipped him with a broad perspective on global technological challenges. His diverse professional roles reflect a balance between theoretical research and practical application, underscoring his versatility as both an educator and a researcher. His research interests in wireless sensor networks, IoT, deep learning, and mobile communication align with the evolving demands of the digital.