Moparthi Nageswara Rao | Engineering | Best Researcher Award

Posted on 28/05/202428/05/2024 by Book of Award

Dr. Moparthi Nageswara Rao | Engineering | Best Researcher Award

KL University | India

Author Profile

Early Academic Pursuits

Dr. Moparthi Nageswara Rao embarked on his academic journey with a strong foundation in computer science. He holds a B.Sc. in Computer Science from Acharya Nagarjuna University, India, followed by an M.Sc. in Computer Science from Bharatidasan University, India. Further enhancing his expertise, he pursued an M.Tech. in Computer Science & Engineering from Acharya Nagarjuna University, India. Dr. Rao culminated his formal education with a Ph.D. in Computer Science & Technology from Sri Krishnadevaraya University, India, specializing in Machine Learning, Software Engineering, and Data Mining.

Professional Endeavors

Currently serving as a Professor and Deputy Head of the Department in Computer Science and Engineering at KL University, India, Dr. Moparthi Nageswara Rao boasts over 22 years of experience in both the IT industry and academia. His professional journey includes significant roles such as Project Lead in the IT industry, where he developed innovative applications and software solutions for prominent companies including Birlasoft India (P) Ltd, IBM India Pvt. Ltd, Mphasis An HP Company, and Info Plus Technologies, USA. In academia, he has held positions at Velagapudi Ramakrishna Siddhartha Engineering College and KL University, where he has been instrumental in research, teaching, and mentoring students in various computer science disciplines.

Contributions and Research Focus

Dr. Rao's research and contributions span across several key areas in computer science, including data mining and machine learning, where he has developed models and techniques for efficient data processing and analysis; software engineering, advancing methodologies and practices in software development; and the Internet of Things (IoT), exploring the integration of IoT technologies in various applications. Additionally, he has played a pivotal role in curriculum development, designing and implementing innovative educational techniques and strategies. His research has been widely recognized, with numerous articles published in top-tier academic journals, including those indexed in SCI and Scopus.

Accolades and Recognition

Dr. Rao's excellence in research and teaching has been recognized through numerous awards and honors, including the Best Teacher Award (2018), Award of Excellence in Research (2020) by Novel Research Academy, and Outstanding Reviewer Awards from Inderscience, Springer, and Elsevier. Additionally, he received the One Team One Dream Award from IBM India, Spot Award from Mphasis, and Best Performer of the Month Award from Sony India. Dr. Rao has authored 43 publications, including 14 SCI-indexed and 20 Scopus-indexed articles, published two books, and holds three patents, one of which has been granted. His contributions to industrial projects include leading funded initiatives such as augmented reality applications for real estate and systems for diagnosing diabetic retinopathy.

Impact and Influence

Dr. Rao has made a substantial impact in both the academic and industrial sectors through his dedicated efforts in student mentoring and development, guiding numerous Ph.D., M.Tech., and B.Tech. students in their academic and research pursuits. He has fostered industry collaboration, developing practical applications and solutions, such as augmented reality applications and medical diagnostic systems. Additionally, Dr. Rao has significantly contributed to academic quality and standards by actively participating in accreditation and certification duties, ensuring the institutions he is affiliated with maintain high standards of education and research.

Legacy and Future Contributions

Dr. Rao's legacy in the field of computer science is marked by his commitment to education, research, and innovation. His future contributions are anticipated to further advance the integration of technology in education and industry. With a focus on cutting-edge technologies such as AI, ML, and IoT, he is poised to continue influencing the next generation of computer scientists and engineers.

Notable Publications

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data 2024 (3)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture 2024

An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework 2024

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT 2023 (1)

Yongshin Park | Decision Sciences | Excellence in Research Award

Posted on 17/05/202417/05/2024 by Book of Award

Dr. Yongshin Park | Decision Sciences | Excellence in Research Award

St. Edward's University | United States

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Yongshin Park embarked on his academic journey at North Dakota State University, where he obtained a Bachelor of Science in Industrial and Manufacturing Engineering in 2012. He continued his studies at the same institution, earning a Master’s degree in Managerial Logistics in 2013. Driven by a passion for data and analysis, Dr. Park further pursued a Graduate Degree Certificate in Statistics, which he completed alongside his Ph.D. in Transportation and Logistics in 2018. His dissertation, titled "Three Essays on Sustainability of Transportation and Supply Chain," laid the foundation for his future contributions to academia and industry.

Professional Endeavors

Dr. Park’s professional career began as a Research Assistant at North Dakota State University's Upper Great Plains Transportation Institute, where he worked from 2012 to 2018. He then transitioned to academia as a Lecturer at North Dakota State University, teaching various courses in Transportation, Operations, and Supply Chain Management. In 2018, Dr. Park joined St. Edward’s University in Austin, TX, where he initially served as an Assistant Professor of Operations Management. His exemplary performance led to his promotion to Associate Professor of Operations Management and Business Analytics in 2023, and he currently holds the position of Program Director for the MS in Business Analytics.

Contributions and Research Focus

Dr. Park’s research is deeply rooted in transportation and supply chain sustainability, financial management, and data analytics. His expertise spans a wide range of analytical tools and software, including R, SPSS, Python, and Tableau, among others. Dr. Park has authored multiple scholarly publications, with notable works focusing on topics such as port productivity, herd behavior in decision-making, and the sustainability performance of the construction sector. His interdisciplinary approach has also led to significant contributions in fields like hydrology education and media framing of social issues.

Accolades and Recognition

Throughout his career, Dr. Park has received numerous accolades for his research and teaching excellence. He was awarded the Munday School of Business Dean’s Excellent Research Grant twice, in 2022 and 2023. His innovative research on port infrastructure earned him a substantial grant from Gyeongsang National University, South Korea, in 2023. Additionally, Dr. Park’s academic achievements have been recognized with awards such as the Encouragement Paper Award from the Asian Association of Management Science and Application and the Excellent Student Paper Award from the Korean Transportation Association in America.

Impact and Influence

Dr. Park’s impact extends beyond his publications and grants. He has played a pivotal role in developing and modernizing academic programs at St. Edward’s University, including the MS in Business Analytics and the MBA Supply Chain Management Concentration. His dedication to teaching and mentorship has fostered the academic growth of numerous undergraduate and graduate students. Dr. Park's collaborative efforts with faculty and industry professionals have enriched the curriculum and enhanced the university's reputation in the field of business analytics.

Legacy and Future Contributions

Dr. Park’s legacy is characterized by his commitment to sustainability in transportation and supply chain management, as well as his innovative approach to data analytics and education. Looking ahead, he aims to continue his research on sustainability and efficiency in logistics and supply chains, with a focus on developing new models and tools to address emerging challenges in these fields. Dr. Park’s ongoing work promises to make significant contributions to both academia and industry, ensuring his lasting influence on future generations of scholars and practitioners.

Notable Publications

Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms 2023 (1)

Multi-criteria supplier selection problem with fuzzy demand: a newsvendor model 2022 (1)

A Comparative Time-Series Investigation of China and U.S. Manufacturing Industries’ Global Supply-Chain-Linked Economic, Mid and End-Point Environmental Impacts 2021 (5)

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Posted on 18/04/202418/04/2024 by Book of Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

Author profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Master’s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewicz’s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewicz’s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewicz’s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the world’s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewicz’s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewicz’s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)

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

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

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

Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

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

Mr. Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Author Profile

Orcid

Early Academic Pursuits

Ayan Paul commenced his academic journey with a Bachelor's in Agricultural Engineering from Orissa University of Agriculture and Technology, Bhubaneswar, where he displayed exceptional prowess with a CGPA of 8.323. His early education at Air Force School Agra, securing a remarkable 95.20%, laid the foundation for his future academic endeavors.

Professional Endeavors

Throughout his academic career, Ayan delved into various practical experiences, including internships at prestigious institutions like CLAAS India Private Ltd., ICAR- Central Institute of Agricultural Engineering, and Odisha Farm Machinery Research and Development Centre. These experiences honed his skills in agricultural machinery design, operation, maintenance, and research.

Contributions and Research Focus

Ayan's M.Tech project on designing an Adjustable Chassis for a Track Type Combine Harvester stands as a testament to his dedication and expertise in the field of farm machinery and power. His B.Tech project, focusing on the field evaluation of Tractor Drawn Groundnut Digger Shaker, showcases his commitment to advancing agricultural practices through innovative solutions.

Accolades and Recognition

Ayan's academic excellence was acknowledged with notable achievements such as securing All India Rank 14 in the Graduate Aptitude Test in Engineering (GATE 2020) and securing All India Rank 64 in ICAR's All India Entrance Examination for Agriculture (AIEEA- UG 2016). These accolades underscore his outstanding capabilities and dedication to his field.

Impact and Influence

Ayan's contributions extend beyond academic achievements, as evidenced by his participation in skill development courses and entrepreneurship programs. His endeavors in remote sensing, GIS in agriculture, food packaging technology, and entrepreneurship development reflect his holistic approach to agricultural engineering and his potential to drive positive change in the field.

Legacy and Future Contributions

With a solid foundation in agricultural engineering, coupled with practical experiences and academic achievements, Ayan Paul is poised to make significant contributions to the field. His focus on innovation and research promises to bring about advancements in farm machinery design, agricultural technology, and sustainable farming practices, leaving a lasting legacy in agricultural engineering and beyond.

Notable Publications

Utilizing Fine-Tuned YOLOv8 Deep Learning Model for Greenhouse Capsicum Detection and Growth Stage Determination 2023 (1)

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)