Dr. MA, Jing - Computer Science - Best Researcher Award

Hong Kong Baptist University - Hong Kong

Professional Profiles

Scopus
ORCID

Early Academic Pursuits

Dr. MA, Jing embarked on his academic journey with a strong foundation in Telecommunications Engineering, earning his B.Eng. from Beijing University of Posts and Telecommunications in 2013. He furthered his studies with an M.S. in Computer Science specializing in Telecommunications Engineering from the same institution. Dr. MA's academic pursuits culminated in a Ph.D. in Information Systems with a focus on Systems Engineering and Engineering Management from The Chinese University of Hong Kong in 2020. Under the guidance of esteemed supervisors Kam-Fai Wong and Wei Gao, Dr. MA delved into the intricate realms of large language models, multi-modal systems, credibility assessment, and social media analytics.

Professional Endeavors

Following his academic achievements, Dr. MA ventured into the professional realm as an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. His expertise spans across various domains, including information retrieval, machine learning, and social media analytics. Dr. MA's professional journey is marked by a series of groundbreaking research endeavors aimed at tackling contemporary challenges in the digital landscape.

Contributions and Research Focus On Computer Science

Dr. MA's research focus encompasses several critical areas in computer science. He has made significant contributions to the development of large language models, particularly in the domains of code generation, fake news detection, and meme analysis. His work on explainable AI and credibility assessment has garnered widespread recognition within the academic community. Moreover, Dr. MA has pioneered research in multi-modal systems, exploring the intersection of text and image processing for enhanced information retrieval and understanding.

Accolades and Recognition In Computer Science

Dr. MA's contributions to the field have been recognized through numerous accolades and publications in prestigious conferences and journals. His research papers have been presented at renowned conferences such as The Web Conference, ICLR, ICASSP, EMNLP, and ICCV, among others. These publications underscore Dr. MA's dedication to advancing the frontiers of knowledge his ability to address complex challenges through innovative methodologies.

Impact and Influence

Dr. MA's work has had a profound impact on both academia and industry. His research findings have shed light on critical issues such as fake news detection, meme analysis, and credibility assessment, thereby contributing to the development of more robust and trustworthy AI systems. Furthermore, Dr. MA's collaborations with leading researchers and institutions have facilitated knowledge exchange and fostered interdisciplinary approaches to address contemporary challenges in the digital age.

Legacy and Future Contributions To Computer Science

As Dr. MA continues to push the boundaries of research, his legacy is poised to inspire future generations of scholars and practitioners. His commitment to excellence, coupled with his innovative research methodologies, serves as a beacon for aspiring researchers seeking to make meaningful contributions to the field. Looking ahead, Dr. MA envisions further advancements in large language models, multi-modal systems, and AI ethics, paving the way for a more inclusive, transparent, and trustworthy digital ecosystem.

Dr. MA's dedication to academic excellence, coupled with his innovative research endeavors, positions him as a leading figure in the field of computer science. His contributions have not only expanded the horizons of knowledge but have also paved the way for the development of more robust and ethical AI systems, ensuring a brighter and more equitable future for humanity.

Notable Publications

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition 2024

Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning 2023

Early Academic Pursuits:

Shivaraj S. Mohite embarked on his academic journey with a strong foundation in Electrical Engineering at Veermata Jijabai Technological Institute (VJTI), Mumbai, India. He earned his Bachelor of Technology (B. Tech) degree with a commendable CGPA of 7.82/10. Building on this academic success, Shivaraj pursued a Master of Technology (M. Tech) in Control System - Electrical Engineering at VJTI, achieving an impressive CGPA of 9.01/10. His academic prowess reached new heights as he pursued a Ph.D. in Automation and Control Systems at the University of Lorraine, CRAN, France. The title of his doctoral thesis, "Observer Design for Nonlinear Systems using LMI Relaxation Techniques," reflects his deep engagement with cutting-edge control system research.

Professional Endeavors:

Shivaraj's professional journey encompasses diverse roles that have contributed to his growth and expertise. As a Site Engineer at Lodha Developers Limited in Mumbai, India, from July 2016 to August 2018, he gained hands-on experience in the field, honing his practical skills in engineering applications. During his M. Tech studies, Shivaraj served as a Teaching Assistant at VJTI, Mumbai, from July 2019 to August 2020. He played a crucial role in imparting knowledge in courses such as Linear Control Design and Nonlinear System Analysis, showcasing his commitment to both academic and practical aspects of control systems. His dedication to education extended beyond traditional classroom settings, as he also served as a Private Tutor, covering a spectrum of subjects including Mathematics, Algebra, Geometry, Physics, Chemistry, and Science from April 2014 to March 2020.

Contributions and Research Focus On Control systems:

Shivaraj's research journey is marked by significant contributions to the field of control systems, particularly in the design of observers for nonlinear systems. His Ph.D. research, titled "Nonlinear Observer Design using LMI-Relaxation Techniques," exemplifies his commitment to advancing the understanding and application of control methodologies. During his M. Tech studies, Shivaraj engaged in impactful projects such as the design of an observer for Autonomous Vehicles and the estimation of State of Charge (SOC) for battery models using Kalman filters and nonlinear observers. These projects showcase his versatility in addressing real-world challenges through innovative control system solutions. In his current role as a Research Assistant at the Mechanical and Process Engineering Department, RPTU, Kaiserslautern, Germany, Shivaraj is actively involved in a project focused on Linear Parameter Varying (LPV) systems. His postdoctoral work involves designing an LMI-based observer for a nonlinear Lipschitz LPV system, showcasing a continuation of his research excellence.

Accolades and Recognition:

Shivaraj's academic and research achievements have not gone unnoticed. His consistently high CGPA during his master's and doctoral studies attests to his academic excellence. His contributions to the field of control systems have likely earned him recognition within the academic and research communities.

Impact and Influence:

Shivaraj's work has the potential to significantly impact the field of control systems, particularly in the context of nonlinear observer design. The application of LMI relaxation techniques in his research could pave the way for more robust and efficient control methodologies, with implications for various autonomous systems and vehicles.

Legacy and Future Contributions:

Shivaraj S. Mohite's legacy is characterized by a dedication to academic excellence and a commitment to pushing the boundaries of control system research. His future contributions are anticipated to further advance the understanding and application of control methodologies, leaving a lasting impact on the field and inspiring future generations of researchers and engineers.