Dr. Junaid Shuja earned his Ph.D. in Computer Science with a focus on Distributed Systems and Mobile Cloud from the University of Malaya, Malaysia, from October 2013 to January 2017. His dissertation, titled “Integrated Vector Instruction Translator and Offloading Framework for Mobile Cloud Computing,” was completed with distinction and earned him the “Graduate on Time” award. He holds an MS in Computer Science from COMSATS Institute of Information Technology, Pakistan, where he studied from September 2010 to May 2012, achieving a CGPA of 3.72/4.0 with a focus on energy-efficient designs for data center networks. His academic journey began with a BS in Computer and Information Sciences from the Pakistan Institute of Engineering and Applied Sciences, Pakistan, completed between October 2005 and July 2009, where he focused on application development, database design, information systems, and computer networks, graduating with a CGPA of 3.12/4.0.

Dr. Junaid Shuja is currently serving as a Senior Lecturer and Assistant Professor at Universiti Teknologi PETRONAS, Malaysia, since March 2023. His role involves teaching, research supervision, grant acquisition, and commercialization, with a focus on machine learning applications in edge networks. Prior to this, he was an Associate Professor at FAST-NUCES, Karachi, from August 2022 to January 2023, where he taught AWS cloud computing and advanced algorithms and supervised six postgraduate students. From April 2017 to July 2022, Dr. Shuja was an Assistant Professor (Tenure Track) at COMSATS Islamabad, handling undergraduate and graduate teaching, project supervision, and administrative duties. He also worked as a Post-Doctoral Fellow at Umm al-Qura University, Saudi Arabia, from February 2020 to December 2020, where he developed research proposals and secured funding for COVID-19 contact tracing applications. Earlier in his career, he was a Research Assistant at the University of Malaya, Malaysia, from October 2013 to September 2016, supporting research under the BrightSpark Program. He also held positions as a Lecturer and Research Associate at CIIT Abbottabad, Pakistan, and as an Information Security Analyst at NIMIS, Islamabad. Additionally, he worked as a Freelance Web Developer on Odesk from August 2009 to January 2013.

Dr. Junaid Shuja has been recognized as one of the top 2% research scientists according to the Stanford Study in 2023. He has also received the Best and Young Researcher Awards from COMSATS University, acknowledging his outstanding contributions to the field. Additionally, he was honored with the Best Paper Award at an international conference, highlighting the impact and quality of his research

Publication Top Notes:

• Microservices Enabled Bidirectional Fault-Tolerance Scheme for Healthcare Internet of Things

• Deep Neural Networks Meet Computation Offloading in Mobile Edge Networks: Applications, Taxonomy, and Open Issues

• Multi-Objective Task-Aware Offloading and Scheduling Framework for Internet of Things Logistics

• Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges

• An Efficient Approach for Tampering Attack Detection in WSN Using Blockchain