Zulfiqar Ali Jumani | Technology | Best Researcher Award

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Dr. Zulfiqar Ali Jumani  –  Technology  –  Best Researcher Award

Alignment with Award Category

Dr. Zulfiqar Ali Jumani’s research contributions, industry experience, and academic influence align well with the Best Researcher Award. His ability to combine theoretical knowledge with practical applications makes him a strong candidate for recognition in research excellence.

Faculty of Business Administration and Accountancy | Thailand

Profile

Orcid

Scholar

Scopus

🎓Early Academic Pursuits 

Education and Training

Dr. Zulfiqar Ali Jumani, Ph.D., MBA (Mkt), BS (I.T), has a distinguished academic background that has laid a strong foundation for his research and professional endeavors. His educational journey demonstrates a commitment to knowledge, innovation, and interdisciplinary learning. With an undergraduate degree in Information Technology, followed by an MBA in Marketing, he developed a unique blend of technical expertise and business acumen. This diverse educational foundation prepared him for his Ph.D., where he explored the intricacies of consumer behavior, specifically in the context of Islamic brands. His dissertation, “Development of a Model: Identifying Buying Behavioral Intentions of the Islamic Brands and Islamic Brands Attitude among Muslims of Thailand and Malaysia,” reflects his keen interest in the intersection of marketing, consumer behavior, and religious identity.

💼Professional Endeavors 

Academic Positions

Dr. Zulfiqar Ali Jumani, Ph.D., MBA (Mkt), BS (I.T), has a distinguished academic background that has laid a strong foundation for his research and professional endeavors. His educational journey demonstrates a commitment to knowledge, innovation, and interdisciplinary learning. With an undergraduate degree in Information Technology, followed by an MBA in Marketing, he developed a unique blend of technical expertise and business acumen. This diverse educational foundation prepared him for his Ph.D., where he explored the intricacies of consumer behavior, specifically in the context of Islamic brands. His dissertation, “Development of a Model: Identifying Buying Behavioral Intentions of the Islamic Brands and Islamic Brands Attitude among Muslims of Thailand and Malaysia,” reflects his keen interest in the intersection of marketing, consumer behavior, and religious identity.

📚Contributions and Research Focus on Technology

Dr. Jumani’s research primarily revolves around Islamic branding, halal consumer behavior, and marketing strategies within diverse religious contexts. His extensive publication record includes high-impact articles in the Journal of Islamic Marketing, where he has explored topics such as the influence of Islamic brand attitudes on consumer behavior, the importance of halal certification, and cross-cultural studies on halal-friendly attributes.

He has co-authored numerous research papers that examine halal marketing dynamics, including:

  • “Identifying the Important Attitude of Islamic Brands and Its Effect on Buying Behavioral Intentions among Malaysian Muslims” (2021)
  • “Behavioral Intentions of Different Religions: Purchasing Halal Logo Products at Convenience Stores in Hatyai” (2020)
  • “Islamic Brands Attitudes and Its Consumption Behavior among Non-Muslim Residents of Thailand” (2021)

🏆Accolades and Recognition 

Dr. Jumani has been recognized for his scholarly contributions through various roles as a keynote speaker and conference chair. He delivered keynote speeches at the UUM-PSU International Doctoral Symposium (2022) and the USM Indonesia International Conference (2023), focusing on Islamic finance and halal industry trends. His participation in international conferences, such as the Asian Academic Society International Conference and the International Conference on Multidisciplinary Research, further showcases his academic influence.

🌍 Impact and Influence 

Community Impact

Dr. Jumani’s research has significant implications for the halal industry and Islamic branding. His findings contribute to understanding consumer behavior in diverse cultural settings, influencing marketing strategies for halal products worldwide. His work also extends to tourism, particularly in exploring halal-friendly attributes and Muslim consumer preferences in non-Islamic destinations.

🔮Legacy and Future Contributions 

With ongoing research projects and collaborations, Dr. Jumani continues to expand his impact in the academic and corporate spheres. His current projects include: “Halal-Friendly Attributes: A Comparative Study of Different Genders’ Intentions to Embark on Non-Islamic Destinations.” “University Entrepreneurial Support and Green Entrepreneurial Behavior: A Quantitative Serial-Mediation Study.” “Development of a Gastronomy City: A Case Study of Thailand.” His commitment to research and academia is evident in his role as a visiting scholar at Phuket Rajabhat University and his involvement in research grants and book chapters. His contributions to the field of Islamic marketing and consumer behavior are expected to influence future research and industry practices.

 

Conclusion

Dr. Zulfiqar Ali Jumani’s journey from academia to industry and back to research exemplifies his dedication to advancing knowledge in Islamic marketing and halal consumer behavior. His interdisciplinary expertise, prolific research output, and influential teaching make him a vital contributor to the field. As he continues to explore new dimensions of halal branding and consumer psychology, his work will remain crucial in shaping the future of Islamic marketing and related disciplines.

📚Publications

Halal-friendly attributes: a comparative study of different Muslim genders’ intentions to visit non-Islamic destinations

Authors:  Jumani, Zulfiqar Ali

Journals: Journal of Islamic Marketing

Improving Natural and Artificial Lighting in Coastal Architecture Classrooms: Insights and Applications

Authors: Tachaya Sangkakool; Rajamangala University of Technology Srivijaya, Faculty of Architecture; Zulfiqar Ali Jumani; Muang District, Songkhla, Thailand; Faculty of Business Administration and Accounting, Khon Kaen Business School, Khon Kaen University, Thailand

Journals: Journal of Daylighting

Perceptions of Halal-friendly attributes: a quantitative study of tourists’ intention to travel non-Islamic destination

Authors: Soonsan, Nimit; Jumani, Zulfiqar Ali

Journals: Journal of Islamic Marketing

Linking digital capability to small business performance: the mediating role of digital business transformation

Authors: Yudha Prakasa; Zulfiqar Ali Jumani

Journals: Cogent Business & Management

Sathishkumar V E | AI | Best Researcher Award

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Dr. Sathishkumar V E –  AI –  Best Researcher Award

Research Impact

Dr. Sathishkumar Veerappampalayam Easwaramoorthy research has tangible societal and technological impacts: Healthcare Improvements: His work in healthcare AI aligns with global priorities like enhancing medical diagnostics and managing pandemics. Smart Systems: Contributions to smart farming and smart grids demonstrate a commitment to improving sustainability and efficiency in critical industries. Data Science Education: By emphasizing practical knowledge transfer, he is shaping the next generation of data science professionals.

Sunway University | Malaysia

      Profile

Orcid

Scopus

Scholar

📍Current Position and Responsibilities

Dr. Sathishkumar V E is a distinguished Lecturer in the Department of Computing and Information Systems at Sunway University, Malaysia. He currently contributes to cutting-edge research projects such as Healthcare AI, Pandemic Preparedness and Management (AI4PEP), and Groundwater Level Monitoring. His work emphasizes advanced methodologies in data science, machine learning, and artificial intelligence, bringing a practical and impactful perspective to his teaching and research.

 

📝Publication Achievements and Research Focus

Dr. Sathishkumar is an accomplished researcher, having published extensively in reputed journals. His recent works include groundbreaking studies in healthcare intelligence, environmental microorganism classification, and smart systems using AI. Notable publications include papers in IEEE Access, PLOS One, and Scientific Reports, which highlight his expertise in multimodal affective computing, secure healthcare systems, and deep learning methodologies. His prolific publication record positions him among Stanford’s Top 2 Percent Scientists in the Elsevier Scopus Database.

 

🔍Ongoing Research and Interests

Dr. Sathishkumar’s ongoing research includes the development of predictive models for Healthcare AI applications. These models aim to enhance patient diagnostics and treatment planning. He is also involved in blockchain-secured pandemic management systems and smart farming initiatives. These projects leverage data mining and real-time analytics to provide innovative solutions for global challenges.

Dr. Sathishkumar’s diverse research interests encompass: Smart Farming: Leveraging real-time data for forecasting and visualization. Cryptography and Biometric Technologies: Enhancing secure authentication systems. Machine Learning and Big Data Analytics: Developing predictive models for complex systems. Healthcare Applications: Using AI for diagnostics, anomaly detection, and resource optimization.

 

🎓Academic Background

Dr. Sathishkumar’s academic journey reflects his commitment to excellence: Ph.D. in Computer and Communication Engineering from Sunchon National University, South Korea (CGPA 4.3/4.5), where he enhanced regression accuracy through hybrid feature selection methods. Master’s in Biometrics and Cyber Security from PSG College of Technology, India (CGPA 8.73/10). Bachelor’s in Information Technology from Anna University, India.

 

🏆Scholarships and Awards

Dr. Sathishkumar’s excellence has been recognized through numerous prestigious awards: Global Korean Scholarship (GKS), NIIED, South Korea. Best Paper Award at KIPS Conference, Jeju National University. Gold Medal in Mathematics from Tamil Nadu State Government Examination. Recognition among Stanford’s Top 2 Percent Scientists in 2023.

 

🌐Professional Associations  and Training 

Dr. Sathishkumar is actively engaged with various professional bodies and editorial roles: Editor-in-Chief of Information Research Communications. Academic Editor for journals like PLOS ONE and BMC Research Notes. Associate Editor for the Journal of Computer Science.

Dr. Sathishkumar has participated in numerous workshops on data science, AI, and big data analytics. He emphasizes hands-on training in Keras, TensorFlow, and other state-of-the-art tools, ensuring his students and peers remain at the forefront of technological advancements.

 

🎤Oral Presentations and Workshops

Dr. Sathishkumar has delivered several oral presentations at international conferences, showcasing his expertise in: Predictive modeling using healthcare datasets. Blockchain technologies for pandemic management. AI applications in smart farming.

 

🧑‍🔬Tasks Completed as a Researcher 

Dr. Sathishkumar has accomplished a range of impactful projects: Pandemic Control Using Blockchain: Securing healthcare data and enhancing preparedness. Smart Farming Applications: Creating tools for data visualization and forecasting. AI Convergence Projects: Developing decentralized systems for real-time analytics.

 

🚀Success Factors 

Dr. Sathishkumar attributes his success to: A deep understanding of AI and machine learning techniques. Exceptional problem-solving skills and data-driven decision-making. His commitment to mentoring students and fostering innovation.

 

🧪Publications & Laboratory Experience

Dr. Sathishkumar’s hands-on experience in labs spans the use of tools like PyTorch, Scikit-learn, and Matplotlib. His published work includes: Advanced deep learning frameworks for skin cancer classification. AI-driven systems for wireless network optimization. Novel methods for smart grid management.

 

💻Expertise in Bioinformatics

His contributions to bioinformatics include the integration of AI and big data analytics for healthcare systems. His work on secure cloud-based healthcare applications has improved anomaly detection and enhanced the security of patient data, showcasing his multidisciplinary expertise.

 

🔍 Conclusion

Dr. Sathishkumar V E is a visionary researcher and educator whose work bridges the gap between academic theory and real-world applications. With his dedication to AI-driven innovation, he continues to make significant contributions to the fields of healthcare, smart systems, and data science. His expertise, combined with his passion for teaching, positions him as a leading figure in his domain.

 

📚Publications

Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer

 Author: Geeitha, S., Ravishankar, K., Cho, J., Easwaramoorthy, S.V.

 Journal: Scientific Reports

Gauss Markov and Flow Balanced Vector Radial Learning network traffic classification on IoT with SDN

Author: Kulandaivel, R., Ramachandran, M., Veerappampalayam Easwaramoorthy, S., Cho, J.

Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Author: Ramanan, G., Neela Rajan, R.R., Suresh, S., Cho, J., Sathishkumar, V.E.

Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification

Author: K, N., M, K., Easwaramoorthy, S.V., … Yoo, S., Cho, J.
Journal: Alexandria Engineering Journal

Season wise bike sharing demand analysis using random forest algorithm

Author: Sathishkumar, V.E., Cho, Y.
Journal: Computational Intelligence.

Hui Zhang | Artificial intelligence | Best Researcher Award

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Dr. Hui Zhang  – Artificial intelligence  – Best Researcher Award

Shandong University | China

Author Profile 

Early Academic Pursuits 🎓

He embarked on his academic journey with a Bachelor of Science degree from the School of Information and Electrical Engineering at Shandong Jianzhu University, Jinan, China, in 2022. His early education laid a strong foundation in the field of engineering and information sciences. Eager to delve deeper into the world of control science and engineering, Hui Zhang pursued a Ph.D. at the School of Control Science and Engineering, Shandong University, where he continues to make significant strides in his research endeavors.

 Professional Endeavors 💼

His professional endeavors are marked by a robust engagement in research that bridges theoretical insights with practical applications. His work primarily focuses on fuzzy logic theory, machine learning, computational intelligence, and hydrogen energy systems. Despite being early in his career, Hui Zhang has published three academic papers and has applied for six invention patents, showcasing his dedication to advancing technology and innovation. Additionally, he has three more papers currently under review, indicating a continuous contribution to the academic community.

Contributions and Research Focus on Artificial intelligence📚

His research contributions are both innovative and impactful. His areas of interest include artificial intelligence and intelligent computing, with a specific focus on fuzzy logic and its applications. One of his notable contributions is the development of a novel hybrid deep fuzzy model (HDFM). This model introduces a new parameter optimization strategy that combines gradient descent with Regularization, DropRule, and AdaBound algorithms, significantly enhancing model convergence. The hybrid deep fuzzy architecture proposed by Hui Zhang has demonstrated superior forecasting performance compared to existing models like DIRM-DFM, IT2DIRM-DFM, DCFS, and ANFIS. This model not only offers better interpretability but also provides a more flexible construction property, proving its practical viability in various applications.

 Accolades and Recognition 🏆

His work has been recognized in various esteemed platforms. His publications have been accepted in notable conferences and journals, including:

  1. A Novel Hybrid Deep Fuzzy Model Based on Gradient Descent Algorithm with Application to Time Series Forecasting, Expert Systems with Applications, 2024.
  2. Interval Type-2 Fuzzy Logic System Based on Batch Normalization and Uniform Regularization with Application to Time Series Forecasting, 2023 China Automation Congress (CAC), Chongqing, China.
  3. Time Series Forecasting Based on Interval Type-2 Fuzzy Logic System with PSO, 2021 China Automation Congress (CAC), Beijing, China.

These publications not only highlight his expertise but also his contribution to advancing the field of intelligent computing and fuzzy logic systems.

 Impact and Influence 🌍

His research has a broad impact, particularly in the realm of hydrogen energy systems, which are crucial for sustainable development. He has participated in three national key research and development program projects in China, focusing on the intelligent management and control of hydrogen energy systems and their integration into urban energy supply networks. These projects underscore his role in addressing critical energy challenges through innovative technological solutions. His contributions have a far-reaching influence, promoting the adoption of intelligent systems in real-world applications and paving the way for future advancements in energy management and control technologies.

 Legacy and Future Contributions 🔮

As he continues his academic and professional journey, his work is set to leave a lasting legacy in the fields of artificial intelligence and intelligent computing. His innovative approaches to fuzzy logic and machine learning are already making significant impacts, and his ongoing research promises to further advance these fields. Hui Zhang’s commitment to pushing the boundaries of what is possible in intelligent systems and his contributions to sustainable energy solutions position him as a leading figure in the next generation of researchers.

With his combination of theoretical insights and practical applications ,his future contributions are expected to drive further innovations and advancements. His work will likely continue to inspire and influence both his peers and future researchers, ensuring that his legacy in the field of intelligent computing and energy systems will endure.

Citations

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Notable Publications