Yang Liu | Computer Science | Best Researcher Award

Posted on 21/06/202421/06/2024 by Book of Award

Prof. Yang Liu | Computer Science | Best Researcher Award

Henan University of Technology | China

Author Profile

Early Academic Pursuits

Prof. Yang Liu was born in November 1978. She pursued her academic journey in the field of Computer Science, culminating in a Ph.D. from the School of Computer Science at Northwestern Polytechnical University (NWTU) between September 2003 and November 2007. Her early academic career set a strong foundation for her expertise in distributed computing and blockchain technology.

Professional Endeavors

After earning her Ph.D., Prof. Liu began her professional career as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, part of the China Academy of Sciences, from November 2007 to February 2009. Since March 2009, she has been a Professor at the College of Information Science and Engineering, Henan University of Technology (HAUT). Her professional journey has been marked by significant contributions to academia and research, particularly in the realms of distributed computing and blockchain.

Contributions and Research Focus

Prof. Liu's research interests are deeply rooted in distributed computing and blockchain technology, focusing on developing secure and efficient consensus mechanisms in blockchain systems, implementing blockchain-based solutions for food traceability and circulation, and researching adaptive resource scheduling and allocation mechanisms in cloud environments. Her contributions extend to developing distributed computing technologies tailored for big data domains. Prof. Liu's work has been instrumental in advancing the practical application and theoretical understanding of these technologies, significantly impacting various real-world scenarios.

Accolades and Recognition

Prof. Liu has garnered numerous awards and honors, underscoring her substantial contributions to science and technology. These include being appointed Chief Science Expert of Henan Province in 2023, receiving the New Century Excellent Talents award from the Ministry of Education of China in 2012, and leading an Innovative Research Team in Science and Technology at the University of Henan Province in 2017. Her achievements also encompass the Prize of Scientific and Technological Achievements of Henan Province in 2013, along with the Henan Province Award for Outstanding Publications in Natural Science in 2011. These accolades affirm Prof. Liu's impactful role in advancing research and innovation, particularly within Henan Province and across China.

Impact and Influence

Prof. Liu's influence extends beyond her research into pivotal roles within various organizations. She serves as a Technical Committee Member for Systems Software and Blockchain at the China Computer Federation (CCF), highlighting her expertise in these critical fields. Additionally, as Deputy Director of the Academic Committee at the Henan Blockchain Technology Research Association and a member of the Experts Committee at the Zhengzhou Information Promote Association, she plays a significant role in shaping the future of computing and blockchain technology. Her leadership and contributions in these positions underscore her commitment to advancing these domains, both locally and on a broader scale.

Legacy and Future Contributions

Prof. Liu has authored numerous publications that have contributed to the body of knowledge in her field. Some notable works include research on consensus algorithms, cloud computing resource management, and energy-efficient communication in wireless sensor networks. Her ongoing research and future contributions are expected to further advance the fields of distributed computing and blockchain, influencing both academic research and practical applications.

Notable Publications

Towards secure and efficient integration of blockchain and 6G networks 2024

A Pipeline-based Chain Structure Byzantine Consensus Algorithm for Blockchain Systems 2023

SoK: Research status and challenges of blockchain smart contracts 2023

MoryFabric: Reducing Transaction Abort by Actual Validity Verification and Reordering 2023

Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Posted on 10/06/202410/06/2024 by Book of Award

Dr. Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Kampala International University | Uganda

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Bashir Olaniyi Sadiq embarked on his academic journey with a Bachelor's degree in Electrical Engineering from Ahmadu Bello University Zaria in 2011. He continued his academic pursuits with a Master's degree in Computer Engineering from the same institution, focusing on the development of an Improved Edge Detection Algorithm for Noisy Colored Images using Particle Swarm Optimization. Dr. Sadiq pursued his Ph.D. in Computer Engineering at Ahmadu Bello University Zaria, where his research centered on the Development of a Routing Protocol and Link Connectivity Algorithm for Light Fidelity-Based Indoor Flying Adhoc Network.

Professional Endeavors

Dr. Sadiq's professional journey showcases a progression through various academic and administrative roles. He began as an Assistant Lecturer at Ahmadu Bello University Zaria in 2013, gradually ascending to higher positions. Over the years, he served as Lecturer II, Lecturer I, and Senior Lecturer at the same institution, where he engaged in research, teaching, and administrative duties within the Department of Electrical and Computer Engineering. Subsequently, he assumed the role of Senior Lecturer at Kampala International University, Uganda, where he also serves as the Director of ICT.

Contributions and Research Focus

Dr. Sadiq's research focus spans Computer Communications, Image Processing, Adhoc Networks, and Computer Engineering Applications. He has made significant contributions to the development of an improved communication link for FANETs using Light Fidelity and various image processing algorithms. His research endeavors have led to the development of innovative solutions in Smart Agriculture, IoT, and Applied Machine Learning.

Accolades and Recognition

Dr. Sadiq's dedication to excellence has been recognized through several prestigious awards and scholarships, including the Tertiary Education Trust Fund (TETFUND) IBR grant, the Best Huawei ICT Instructor Award, and the Petroleum Development Trust Fund (PTDF) Ph.D. scholarship. These accolades underscore his commitment to advancing both research and teaching in the field of Computer Engineering.

Impact and Influence

Dr. Sadiq's influence extends beyond his research contributions to his mentorship and leadership qualities. He has mentored numerous undergraduate and postgraduate students, fostering their research skills and academic growth. As an academic leader, he has overseen ICT directorates, supervised research projects, and implemented innovative teaching methodologies.

Legacy and Future Contributions

Dr. Sadiq's legacy is characterized by his dedication to academic excellence, research innovation, and mentorship. His future contributions are poised to further advance the fields of Computer Engineering and Information and Communication Technology (ICT). Through his ongoing research endeavors, mentorship initiatives, and administrative roles, he continues to inspire the next generation of scholars and researchers in the domain of Computer Engineering.

Notable Publications

Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification 2024

Review of Error Correction in 2D Shingled Magnetic Detection 2023

SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm 2023 (2)

Nam-Phuong Tran | Computer Science | Best Researcher Award

Posted on 22/03/202426/03/2024 by Book of Award

Mr. Nam-Phuong Tran | Computer Science | Best Researcher Award

Chung-Ang University | South Korea

Author Profile

Scopus

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Early Academic Pursuits

Mr. Nam-Phuong Tran began his academic journey at Hanoi University of Science and Technology, Vietnam, where he pursued a Bachelor of Engineering in Computer Science, completing it from August 2015 to June 2020. His thesis, "Spatio-Temporal Dynamics of the Labor Market," showcased his early dedication to research. Subsequently, he pursued an MSc of Science in Computer Science at Chung-Ang University, Seoul, Korea, focusing on QoE Management for Video Streaming Systems over IRS-aided RSMA Networks under the guidance of Professor Sungrae Cho.

Professional Endeavors

Tran has diversified professional experience, ranging from software engineering to research roles. He worked as a Software Engineer at Viettel Digital Service and as a Graduate Research Assistant at the Ultra-Intelligent Computing/Communication Lab, Chung-Ang University. Additionally, he has served as a Software Developer, Data Scientist Intern, and Undergraduate Research Assistant, gaining exposure to various facets of computer science and engineering.

Contributions and Research Focus

Tran's research primarily revolves around improving Quality of Experience (QoE) in communication networks, focusing on topics such as wireless resource allocation, bitrate adaptation, and low-latency protocols. His expertise spans intelligent reflecting surfaces, rate-splitting multiple access, IoT, deep learning, reinforcement learning, federated learning, and multimedia over wireless networks. He has also delved into big data analytics, including data crawling, mining, visualization, and predictive analytics.

Accolades and Recognition

Tran's dedication to academia has been acknowledged through numerous awards and scholarships, including the Chung-Ang University Young Scientist Scholarship, Brain Korea 21 Graduate School Research Scholarship, Daewoong AI Big Data Scholarship, and the Shinhan Bank Scholarship. He has also received recognition for his programming skills and outstanding thesis presentation.

Impact and Influence

Tran's research contributions, particularly in the realm of improving QoE in communication systems, have the potential to influence the development of more efficient and user-centric network protocols. His work in wireless resource allocation, bitrate adaptation, and low-latency protocols could lead to significant advancements in multimedia streaming, IoT, and metaverse applications, shaping the future of communication technologies.

Legacy and Future Contributions

Tran's legacy may lie in his interdisciplinary approach to addressing challenges in communication networks and big data analytics. His research outputs and professional endeavors are poised to contribute to advancements in wireless communication, machine learning applications, and data-driven decision-making. With his demonstrated commitment to excellence and innovation, he is likely to continue making notable contributions to the field of computer science and engineering, both in academia and industry.

Notable Publications

Privacy-Preserving Traffic Flow Prediction: A Split Learning Approach 2023

Delay-constrained quality maximization in RSMA-based video streaming networks 2022

A Survey on Intelligent Reflecting Surface-aided Non-Orthogonal Multiple Access Networks 2022

A Survey on Passive Beamforming using Statistical State Information in Intelligent Reflecting Surface Assisted Networks 2022

Sushovan Khatua | Computer Science | Best Researcher Award

Posted on 18/03/202418/03/2024 by Book of Award

Mr. Sushovan Khatua | Computer Science | Best Researcher Award

Maulana Abul Kalam Azad University of Technology | India

Author profile

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Early Academic Pursuits

Mr. Sushovan Khatua embarked on his academic journey with a zeal for excellence, evident from his stellar academic record. Graduating with distinction from various institutions, including KU, and VU, he laid a robust foundation in computer science, paving the way for his future endeavors.

Professional Endeavors

With a blend of academic prowess and practical experience, Mr. Khatua delved into diverse professional undertakings. From internships at renowned organizations to roles in software testing and quality assurance at AVALGATE SOFTWARE LLP, he honed his skills across different domains.

Contributions and Research Focus

Mr. Khatua's contributions extend to both academia and industry, with a focus on cutting-edge research in areas such as Internet of Vehicular Things (IoVT), cloud computing, combinatorial optimization, and machine learning. His publications and collaborative projects demonstrate his dedication to addressing real-world challenges through innovative solutions.

Accolades and Recognition

Mr. Khatua's achievements speak volumes about his academic and research excellence. Notable accolades include qualifing GATE (Computer Science) and receiving the Best Paper Award at the 5th Regional Science and Technology Congress, Govt. of West Bengal. His scholarly contributions have been recognized in esteemed journals and conferences.

Impact and Influence

Mr. Khatua's research endeavors have made a significant impact, particularly in the realms of vehicular communications, sustainable logistics, and optimization problems. His collaborative efforts with renowned institutions and industry partners underscore his commitment to driving positive change through interdisciplinary collaboration.

Legacy and Future Contributions

As Mr. Khatua continues his pursuit of knowledge and innovation, his legacy is poised to inspire future generations of researchers and practitioners in the fields of computer science and engineering. With a focus on sustainability, resilience, and technological advancement, he aims to contribute meaningfully to society and academia, leaving an indelible mark on the landscape of research and innovation.

Notable Publications

Leveraging Machine Learning of Indian Railways Public Procurement Data for Managerial Insights 2023

Dew Computing-Based Sustainable Internet of Vehicular Things 2023

Jingjing Cao | Computer Science | Best Researcher Award

Posted on 16/03/202416/03/2024 by Book of Award

Dr. Jingjing Cao | Computer Science | Best Researcher Award

School of Transportation and Logistics Engineering | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.

Professional Endeavors

Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.

Contributions and Research Focus

With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.

Accolades and Recognition

Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.

Impact and Influence

Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.

Legacy and Future Contributions

As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.

Notable Publication

A two-stage model for forecasting consumers’ intention to purchase with e-coupons 2021 (15)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment 2021 (14)