Sharmila Shaik | Computer Science | Best Researcher Award

Mrs. Sharmila Shaik | Computer Science | Best Researcher Award

Vignan's Nirula Institute of Technology and Science for Women | India

Author Profile

Scopus

Orcid

Early Academic Pursuits

Mrs. Sharmila Shaik embarked on her academic journey with a strong foundation in computer science, completing her Bachelor's in Computer Science (M.P.Cs) from Government Women's College, Guntur. She further honed her skills by pursuing a Master's in Computer Applications (MCA) from NCET, Vijayawada, followed by a Master's in Technology (M.Tech) in Computer Science and Engineering (CSE) from VVIT, Nambur. Her educational journey culminated in her pursuit of a Ph.D. in Computer Science and Engineering from ANU, with her thesis currently under submission.

Professional Endeavors

With a passion for teaching and research, Mrs. Sharmila Shaik has amassed over six years of teaching experience. She has served as an Assistant Professor in the IT Department of Vignan Nirula College of Engineering for Women, Palakalur, Guntur, for the past year. Prior to this, she contributed her expertise as an Assistant Professor for four years at Montessori Mahila Kalasala, Vijayawada.

Contributions and Research Focus

Mrs. Shaik's research contributions span a wide array of topics in computer science and engineering. She has made significant contributions to the field of Intelligent Transport Systems, Zero Emission Technologies, Cyber Physical Agricultural Systems, Cloud Computing, and Cloud Forensics. Her research output includes multiple book chapters and papers published in reputable journals and conferences, addressing contemporary challenges and proposing innovative solutions.

Accolades and Recognition

Mrs. Sharmila Shaik's scholarly contributions have garnered recognition, evident from her publications in esteemed journals and her acceptance of book chapters by reputed publishers such as CRC Press and Elsevier. Her work has been well-received in academic circles, as demonstrated by its inclusion in Scopus and Springer publications. Additionally, her teaching prowess is underscored by her six years of experience in academia.

Impact and Influence

Through her research and teaching endeavors, Mrs. Sharmila Shaik has made a tangible impact on her field, contributing to the advancement of knowledge in computer science and engineering. Her publications serve as valuable resources for researchers and practitioners, addressing pressing challenges in areas such as cloud computing, cybersecurity, and intelligent transportation systems. Furthermore, her dedication to teaching has influenced and inspired countless students, nurturing the next generation of computer scientists and engineers.

Legacy and Future Contributions

Mrs. Sharmila Shaik's legacy lies in her significant contributions to academia and research. Her body of work exemplifies her commitment to innovation and excellence in computer science and engineering. As she continues her academic journey, she aims to further expand her research portfolio, delve into emerging technologies, and mentor aspiring scholars. Through her ongoing efforts, she seeks to leave a lasting legacy of knowledge creation and dissemination in her field.

Notable Publications

Tracing footprints of anti-forensics and assuring secured data transmission in the cloud using an effective ECCDH and Kalman Filter 2024

A novel solution for finding postpartum haemorrhage using fuzzy neural techniques 2021 (27)

Agri 4.0 and the Future of Cyber-Physical Agricultural Systems ,Chapter 3 - Tools and framework for cyber-physical agricultural systems 2024

Tracing footprints of anti-forensics and assuring secured data transmission in the cloud using an effective ECCDH and Kalman Filter 2023

 

 

Ruichao Yang | Computer Science | Best Researcher Award

Ms. Ruichao Yang | Computer Science | Best Researcher Award

Hong Kong Baptist University | Hong Kong

Author Profile

Scopus

Early Academic Pursuits

Ruichao Yang commenced their academic journey at Jilin University, where they systematically delved into computer science courses and participated in various competitions. Notably, they secured the third prize in the 5th "Certification Cup" National College Students Mathematical Modeling Network Challenge. Their undergraduate experience laid a robust foundation in data structure, algorithm design, and analytical skills, setting the stage for their future endeavors.

Professional Endeavors

Ruichao Yang's professional journey commenced with internships and later full-time roles at Microsoft China, where they showcased their prowess in software engineering and natural language processing. They contributed significantly to projects aimed at enhancing online keyword matching systems, filtering advertisements, and improving revenue through innovative approaches. Their expertise in programming languages, data structures, and algorithms proved instrumental in restructuring and optimizing advertising business systems.

Contributions and Research Focus

Ruichao Yang's academic background, coupled with their industry experience, fueled their research focus on improving the efficiency of computing systems, particularly cache optimization and deep learning network acceleration. Their contributions to building domain knowledge graphs and anomaly detection models underscore their commitment to advancing technology's practical applications, particularly in the realm of advertising and revenue optimization.

Accolades and Recognition

Throughout their academic and professional journey, Ruichao Yang garnered numerous accolades and awards, including academic scholarships, merit distinctions, and recognition for their leadership and volunteerism. Their consistent pursuit of excellence and dedication to their field have been acknowledged both within academia and the industry.

Impact and Influence

Ruichao Yang's work at Microsoft China and academic research endeavors have left a significant impact on the domains of software engineering and computer science. Their innovative approaches to problem-solving and contributions to optimizing advertising systems have not only enhanced user experiences but also contributed to revenue growth and operational efficiency.

Legacy and Future Contributions

As Ruichao Yang continues to navigate their career path, their legacy lies in their contributions to advancing technology's frontiers, particularly in software engineering, natural language processing, and computational optimization. Their future contributions are poised to further propel innovation, shape industry standards, and inspire the next generation of computer scientists and engineers.

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
  • Reinforcement Subgraph Reasoning for Fake News Detection 2022 (29)

    A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning 2022 (20)

    Towards Fine-Grained Reasoning for Fake News Detection 2022 (35)

 

 

 

Hongwei Wang | Computer Science | Best Researcher Award

Mr. Hongwei Wang | Computer Science | Best Researcher Award

North Minzu University | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Hongwei Wang embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Harbin Institute of Information Engineering. He excelled in courses like Software Engineering, Operating System, and Internet Programming. Later, he pursued a Master's degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

Professional Endeavors

Hongwei Wang's professional endeavors are centered around medical image processing and object detection. His research has led to the development of innovative models such as M3YOLOv5 for mandibular fracture detection and CCGL-YOLOV5 for lung tumor detection, published in reputable journals like Computers in Biology and Medicine.

Contributions and Research Focus

Wang's primary research focus lies in medical image processing, particularly in the realm of object detection. His work addresses critical issues in healthcare by enhancing the accuracy and efficiency of diagnostic processes through advanced technological solutions.

Accolades and Recognition

Wang's academic achievements have been recognized through various scholarships, including postgraduate school first and second-class scholarships. He has also received accolades such as the "Learning Star" award during his undergraduate studies and has actively participated in prestigious competitions like the National Postgraduate Mathematical Modeling Competition.

Impact and Influence

Through his research and academic excellence, Wang has made a significant impact on the field of medical image processing. His contributions have the potential to revolutionize diagnostic procedures, leading to improved patient outcomes and enhanced healthcare delivery.

Legacy and Future Contributions

Mr. Hongwei Wang's legacy lies in his dedication to advancing medical image processing technology for the betterment of healthcare. His future contributions are expected to further push the boundaries of object detection algorithms, paving the way for more accurate and efficient diagnostic tools. With a strong foundation in computer science and a passion for innovation, Wang is poised to continue making substantial contributions to the field.

Notable Publications

M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection 2024

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model 2023 (3)

 

 

Nam-Phuong Tran | Computer Science | Best Researcher Award

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

Chung-Ang University | South Korea

Author Profile

Scopus

Google Scholar

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

Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems 2024

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

Mr. Sushovan Khatua | Computer Science | Best Researcher Award

Maulana Abul Kalam Azad University of Technology | India

Author profile

Orcid

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

SoVEC: Social Vehicular Edge Computing-based Optimum Route Selection 2024

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

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

FE-Net: Feature enhancement segmentation network 2024

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)

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)

Adaptive sliding window based activity recognition for assisted livings 2020 (62)

 

 

 

 

 

Thanh Phung Truong | Computer Science | Best Researcher Award

Mr. Thanh Phung Truong | Computer Science | Best Researcher Award

Chung-Ang University | Vietnam

Author profile

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Early Academic Pursuits

Mr. Thanh Phung Truong commenced his academic journey with an unwavering commitment to excellence. He obtained his B.Eng. degree in Electronics-Telecommunications Engineering from Ho Chi Minh City University of Technology, Vietnam, in 2018, followed by an M.Eng. degree in Computer Science and Engineering from Chung-Ang University, South Korea, in 2022.

Professional Endeavors

Transitioning from academia to the professional realm, Mr. Thanh Phung Truong embarked on a journey marked by diverse roles and notable achievements. He served as a Logic Design Engineer at Arrive Technologies Vietnam, among other positions, before assuming the role of a Data Scientist at Viettel Networks, Viettel Group, Hanoi, Vietnam, in 2022.

Contributions and Research Focus

Mr. Thanh Phung Truong's contributions to the field of Computer Science and Engineering are substantial and multifaceted. His research interests span wireless communication networks, machine learning, and data science. Notably, his research endeavors have resulted in numerous publications in reputable journals and conferences, where he has explored topics such as intelligent heterogeneous aerial edge computing and joint wireless resource allocation.

Accolades and Recognition

Throughout his career, Mr. Thanh Phung Truong has garnered widespread recognition for his outstanding contributions. His research papers have received several awards, including Best Paper Awards at prestigious conferences such as the International Conference on Intelligence of Things and the International Conference on ICT Convergence. Additionally, he has been the recipient of esteemed academic scholarships, including the Chung-Ang University Young Scientist Scholarship.

Impact and Influence

Mr. Thanh Phung Truong's work has had a profound impact on the academic community and beyond. Through his research, he has contributed valuable insights and advancements to the field of Computer Science and Engineering. Moreover, his involvement in academic activities, such as serving as a Program Committee Member for international conferences, highlights his dedication to knowledge dissemination and scholarly exchange.

Legacy and Future Contributions

As Mr. Thanh Phung Truong continues his academic and professional journey, his legacy of excellence and innovation grows ever stronger. With a keen focus on addressing complex challenges in wireless communication networks and related domains, he is poised to make further significant contributions to the field. His commitment to research, coupled with his leadership roles in academic and social endeavors, ensures a promising future characterized by continued impact and influence.