Qiang Li | Computer Science | Best Researcher Award

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Mr. Qiang Li | Computer Science | Best Researcher Award

Lecturer, Qingdao University, China

Dr. Li Qiang is an experienced lecturer in computer science with a PhD in Engineering. He specializes in high-performance computing and has a strong background in both teaching and research. Committed to fostering academic excellence and technological innovation, Dr. Li has been a dedicated educator and researcher at Qingdao University since 2015.

Profile

ORCID

 

Education 🎓

PhD in Engineering: University of the Chinese Academy of Sciences, Computer Network Information Center (2010-2014), Advisor: Lu Zhonghua. Master’s in Information Science and Engineering: Shandong University of Science and Technology (2007-2010), Advisor: Zhao Maoxian. Bachelor’s in Education: Qingdao University (2003-2007).

Experience 👨‍🏫

Lecturer at Qingdao University, School of Computer Science and Technology (January 2015-Present). Teaching undergraduate and graduate courses in computer science. Supervising student research projects and theses. Conducting research in high-performance computing. Published 12 research papers in journals and conferences. Granted 2 patents.

Research Interests 🔬

Dr. Li Qiang’s research interests lie in high-performance computing, particularly in the optimization and parallel implementation of numerical simulations and the development of new computational frameworks. His work focuses on enhancing computational efficiency and scalability in large-scale scientific computations.

Awards 🏆

Dr. Li Qiang has been recognized for his contributions to the field of high-performance computing through multiple publications and patents. His innovative work has led to advancements in computational methods and has garnered attention in the academic community.

Publications 📄

Optimization Research of Heterogeneous 2D-Parallel Lattice Boltzmann Method Based on Deep Computing Unit. Appl. Sci. 2024, 14, 6078.

Heterogeneous Parallel Implementation of Large-Scale Numerical Simulation of Saint-Venant Equations. Appl. Sci. 2022, 12, 5671. Cited by 6

The Study of Parallelization of SWAT Hydrology Cycle. The 32nd ACM International Conference on Supercomputing, Beijing, 2018. [Cited by 3]

A New Parallel Framework of Distributed SWAT Calibration. Journal of Arid Land, 2015, 7(1): 122-131. [Cited by 7]

Parallel Simulation of High-Dimensional American Option Pricing Based on CPU VS MIC. Concurrency and Computation: Practice and Experience, 2014, 27(5): 1110-1121. [Cited by 5]

Jihyeon Ryu | Computer Science | Best Researcher Award

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Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Maria Achary | Computer Science | Best Researcher Award

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Mrs. Maria Achary | Computer Science | Best Researcher Award

Assistant Professor, University of Mumbai, India

👩‍🏫 Maria Achary is an accomplished academician and entrepreneur with over 10 years of experience in teaching computer science and management. As an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School, she specializes in programming and computer applications. Maria is also a research scholar pursuing a PhD from the University of Mumbai, focusing on deep learning for neurodegenerative disorder detection. She has been a guest speaker at multiple institutions and has received several awards for her research contributions.

Profile

ORCID

🎓 Education:

Maria Achary is currently pursuing her PhD in Deep Learning for Neurodegenerative Disorders Detection from the University of Mumbai. She holds a Master’s degree in Computer Science and Management. Her educational background is reinforced by extensive research and practical application in various fields, making her a well-rounded academic and researcher.

💼 Experience:

With over a decade of experience, Maria Achary has been a key figure in academia and industry. She currently serves as an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School. Her expertise in programming and computer applications has been instrumental in her teaching and research roles. Maria is also actively involved in consultancy projects and has been a guest speaker at various institutions.

🔬 Research Interests:

Maria Achary’s primary research interest lies in Deep Learning, particularly its application in the early diagnosis of neurodegenerative disorders like Alzheimer’s and Parkinson’s Disease. Additionally, she explores the use of Artificial Intelligence for managerial decision-making in various domains, including Marketing, Finance, and HR. Her work aims to bridge the gap between theoretical research and practical application, making significant contributions to both fields.

🏆 Awards:

Maria Achary has been recognized for her outstanding contributions to research and academia. She has received multiple awards for her innovative work and dedication to her field. Her ongoing research and commitment to excellence continue to earn her accolades and recognition within the academic community.

Publications

Title: “Deep Learning for Early Diagnosis of Neurodegenerative Disorders”, Journal: SpringerLink (2023) Link

Title: “AI in Managerial Decision-Making: Case Studies in Marketing, Finance, and HR”, Journal: Taylor & Francis Online (2024) Link

 

rajesh kumar Srivastava | Marketing | Best Researcher Award

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Prof Dr. rajesh kumar Srivastava | Marketing | Best Researcher Award

Prof and HOD, NL Dalmia Institute of Management studies and research University of Mumbai t, India

🌟 Dr. R. K. Srivastava is an esteemed academician and Professor Emeritus at the N L Dalmia Institute of Management Studies and Research, University of Mumbai. With over 19 years of teaching experience and 30 years of managerial experience in the pharmaceutical industry, he has significantly contributed to academia and industry. Dr. Srivastava has held prominent positions such as HOD of Marketing at SIMSREE and Director General at Sterling Management Institute, showcasing his leadership and expertise in marketing and research.

Profile

Scopus

 

Education 🎓

Dr. Srivastava holds a Ph.D. in Marketing from Bombay University (NMIMS), an M.Sc. in Biochemistry from Bombay University, and a Post Graduate Diploma in Marketing from JBIMS, Bombay University. He has also completed a Diploma in Advanced Management from XIM, Bombay, along with several certificates in administrative practice, training for trainers, and export management from prestigious institutions.

Experience 💼

With a robust career spanning over 40 years, Dr. Srivastava has served as a professor and HOD at various esteemed institutions, including SIMSREE, University of Mumbai, and SIESCOMS. His industrial experience includes 30 years in the pharma industry, working with companies like Rowa, SERUM, and VILCO. He has also been a visiting professor at international universities and an active member of various academic and industry boards.

Research Interests 📚

Dr. Srivastava’s research interests lie in market research and methodology, brand management, sales management, international business, and emerging markets. His extensive work in these areas has led to numerous publications and contributions to academic and industry conferences worldwide.

Awards🏆

Dr. Srivastava has received multiple accolades, including the Innovative Professor of the Year 2013 by DNA Newspaper and Star News, the Marketing Innovation Award 2014, and recognition as one of the top 100 dedicated professors globally at the World Education Congress in 2018. His commitment to education and research has been acknowledged with various best paper awards at international conferences.

Publications📝

Selected Publications:

Brand Placement in a Movie Song and its Impact on Brand Equity – Journal of Promotion Management, 2020. DOI: 10.1080/10496491.2019.1699627

Does Country of Origin Have Impact on Prescribing Behaviour of General Practitioners? – International Journal of Healthcare Management, 2019. DOI: 10.1080/20479700.2019.1684667

For Brand Alliance, Social or Cause-related Marketing: Which One is Better? A Study in Emerging Markets – International Journal of Nonprofit and Voluntary Sector Marketing, 2019. DOI: 10.1002/nvsm.1656

Perception of Korean Brands Among Indian and Korean Millennials – Journal of International Marketing and Exporting, 2019.

Study on Impact of Sales Promotion on Brand Loyalty of Generation-Z for Edible Oil – International Research Journal of Marketing and Economics, 2018.