Junaid Shuja is currently a Visiting Associate Professor at Southeast Missouri State University. He previously held academic and research positions at Universiti Teknologi PETRONAS, Malaysia; the National University of Computer and Emerging Sciences (FAST-NUCES); and COMSATS University, Pakistan. He has also served as an adjunct lecturer at UCSI University, Malaysia. Dr. Shuja earned his Ph.D. from University of Malaya, Malaysia, in 2017, under the prestigious BrightSpark scholarship. His doctoral research centered on the execution and offloading of SIMD instructions on heterogeneous mobile and cloud platforms, and he received the “Graduate on Time” award in recognition of his timely completion. Dr. Shuja’s research interests include applying machine learning techniques in edge computing, advancing Large Language Models (LLMs) for low-resource languages and exploring Blockchain technologies. He has won research grants from funder agencies in Pakistan, Malaysia, and Saudi Arabia. He has authored over 70 research articles in international journals and conferences and currently serves as an Associate Editor for Telecommunication Systems and Cluster Computing.
Abstract: Research students often encounter thousands of articles on their research topic. This is due to strain on publication leading to publication of articles that often do not conform to quality control. Killing this academic noise and filtering articles that are state-of-the-art is necessary for researchers. I describe the tools that can be utilized by computer science researchers to kill academic noise and filter state-of-the-art articles that are essential for comparative analysis.
Bahria University, Johar Town, Lahore, Pakistan
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