Bablu Karan | Education | Best Researcher Award

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Dr. Bablu Karan | Education | Best Researcher Award

PhD in Education, Central University of Gujarat, India

Dr. Bablu Karan is a dedicated educator and researcher at the Central University of Gujarat, Gandhinagar, specializing in educational technology and curriculum studies. His work focuses on integrating artificial intelligence into secondary education in India, aiming to enhance teaching and learning experiences.

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📚 Education:

Dr. Bablu Karan holds a PhD in Education from the Central University of Gujarat, Gandhinagar. He earned his M.Ed. from Visva-Bharati University, Santiniketan, and a B.Ed. from RIE-NCERT, Bhubaneswar. He also holds an M.A. in English from Ravenshaw University and a B.A. in English Hons from Vidyasagar University.

👨‍🏫 Experience:

Dr. Bablu Karan has extensive experience in educational research and policy formulation. His professional journey includes significant contributions to understanding AI in education, educational policies, and curriculum studies.

🔍 Research Interests:

Dr. Bablu Karan’s research interests span educational technology, AI in education (AIED), ICT, educational policies, curriculum studies, and language education. He is particularly interested in how these areas intersect to improve educational outcomes in diverse contexts.

🏆 Awards:

Recipient of the Best Researcher Award, Dr. Bablu Karan is recognized for his pioneering research in integrating AI into school education and his contributions to educational policy and curriculum development in India.

Publications:

Artificial Intelligence Integration into School Education: A Review of Indian and Foreign Perspectives (2023, Millennial Asia) – Cited by 6

Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review (2023, Bulletin of Science, Technology & Society) – Cited by 4

Enhancing Women Education in India: An Immense Challenge Towards Effective Human Rights (2017, International Education & Research Journal) – Cited by 2

Promoting Gender Equality in Classroom Teaching and Learning in Indian Context: Issues and Challenges (2017, International Journal of Multidisciplinary Approach & Studies) – Cited by 1

Integration of artificial intelligence by the Central Board of Secondary Education in India: towards innovative teaching and learning practices (2024, Technology, Pedagogy and Education)

JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

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Dr. JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

Associate Professor, Francis Xavier Engineering College, India

📘 Dr. A. Jainul Fathima, B.Tech., M.E., Ph.D., is an innovative professor with a strong passion for fostering academic development and success for every student. With 12 years of combined experience in teaching, research, and industry, she excels in implementing technology-based curriculum delivery and assessment tools.

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Scopus

Education🎓

Dr. Fathima holds a Ph.D. in Computational Drug Discovery from Kalasalingam Academy of Research and Education, where her interdisciplinary research focused on developing anti-viral drugs for dengue targets using AI techniques. She earned her M.E. in Computer Science and Engineering from Anna University with an 83% aggregate and a B.Tech. in Information Technology from Anna University with a 75% aggregate.

Experience 🛠️

👩‍🏫 With 12 years of total experience, Dr. Fathima has 6 years of teaching experience, currently serving as an Assistant Professor at Francis Xavier Engineering College. She has previously worked at K.L.N. College of Information Technology, Sethu Institute of Technology, and Kalasalingam University. Her research experience includes 3 years as a UGC Research Fellow and 2 years of teaching and instructing in Qatar. She also has 1 year of industrial experience as a Research Assistant in Computer-Aided Drug Design.

Research Interests 🔍

🔬 Dr. Fathima’s research interests are in the areas of computational drug discovery, machine learning, artificial intelligence, and bioinformatics. Her work focuses on applying advanced computational techniques to predict protein interactions and develop therapeutic solutions for diseases like dengue and Alzheimer’s.

Awards 🏆

🏆 Dr. Fathima has received several accolades, including the “Research Associate Award” from the Anti-viral Research Society in 2022, “Best Paper Award” at INCODS ’17 and NCAC ’09, and the “Outstanding Student Award” from Mepco Schlenk Engineering College.

Publications 📚

A comprehensive review on heart disease prognostication using different artificial intelligence algorithms, Computer Methods in Biomechanics and Biomedical Engineering, February 2024. Cited by 1.5

Alzheimer’s Patients Detection using Support Vector Machine (SVM) with Quantitative Analysis, Neuroscience Informatics, 2021. Cited by 0.5

IoT-Based Intelligent System for Garbage Level Monitoring in Smart Cities, International Conference on IoT, Communication and Automation Technology, 2023. Scopus Indexed

Intelligent Deep Learning Framework for Breast Cancer Prediction using Feature Ensemble Learning, IEEE Global Conference for Advancement in Technology, 2023. Scopus Indexed

Compressing Biosignal for diagnosing chronic diseases, Journal of Physics: Conference Series, 2021. Scopus Indexed

 

 

Zhiping Liu | Human-Computer Interaction | Best Researcher Award

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Mr. Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Researcher, Zibo Comprehensive Bonded Zone Development Service Center, China

Zhiping Liu is a dedicated researcher at the Zibo Comprehensive Bonded Zone Development Service Center in Zibo, Shandong Province, China. With a multifaceted background that spans Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, Zhiping brings a rich blend of theoretical knowledge and practical expertise to his work. He focuses on enhancing digital user experiences through innovative interface designs, integrating both aesthetic and functional elements.

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ORCID

Education 🎓

Zhiping Liu holds a Master’s degree in Industrial Design Engineering from the Mechanical College of Shandong University. His academic journey has provided him with a robust foundation in various disciplines, including Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, equipping him with the skills needed to excel in the field of digital interface design.

Experience 🛠️

Zhiping’s professional experience is marked by his involvement in various research and consultancy projects at the Zibo Comprehensive Bonded Zone Development Service Center. He has played a pivotal role in optimizing digital interfaces, leveraging his expertise to improve user satisfaction and interface efficiency. His work often involves the integration of the Analytic Hierarchy Process with visual design elements, aiming to create more intuitive and effective digital solutions.

Research Interests 🔍

Zhiping Liu’s research interests lie in digital interface design, user experience optimization, and the integration of aesthetic and functional aspects in digital products. His innovative approach involves using the Analytic Hierarchy Process to enhance visual design elements, thereby improving the overall efficiency and user satisfaction of digital interfaces. He is keen on exploring new methodologies that bridge the gap between subjective aesthetic judgments and objective usability metrics.

Awards 🏆

Zhiping Liu has made notable contributions to the field of digital interface design, earning recognition for his innovative research methods. His work on integrating the Analytic Hierarchy Process with visual design principles has been particularly impactful, offering a structured approach to optimizing digital interfaces. Through his research, Zhiping has provided valuable insights and advancements that have significantly improved the field’s understanding and application of digital design principles.

Publications 📚

Liu, Z., “Integrating Analytic Hierarchy Process with Visual Design Elements,” International Journal of Human-Computer Interaction, 2023. [Cited by: 12 articles]

Liu, Z., “Optimizing User Experience through Digital Interface Design,” Journal of Digital Design, 2022. [Cited by: 8 articles]

Liu, Z., “Aesthetic and Functional Integration in Digital Products,” Design Science Journal, 2021. [Cited by: 10 articles]

Agostino Giorgio | Engineering | Best Researcher Award

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Assist Prof Dr. Agostino Giorgio | Engineering | Best Researcher Award

Researcher and Assistant Professor, Politecnico di Bari, Italy

Agostino Giorgio, a distinguished Researcher and Assistant Professor at Politecnico di Bari, Italy, holds a Ph.D. in Electronics Engineering and leads the Digital Electronics Lab since 2020. Born in Bari, Italy, in 1969, his career spans pivotal advancements in embedded systems, FPGA implementations, AI applications, nanoelectronics, and quantum computing. His innovative contributions extend to telemedicine, home care, and personal safety electronics.

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Scopus

Education📚

Agostino Giorgio completed his Laurea degree with honors in Electronic Engineering from the Polytechnic of Bari in 1994, followed by a Ph.D. in Electronics Engineering in 1998. His academic journey laid the foundation for his extensive research and teaching career.

Experience 💼

Since 1998, Agostino Giorgio has served as a Researcher and Assistant Professor at Politecnico di Bari, where he pioneers research in digital electronics and its applications. He has spearheaded numerous projects and collaborations, notably with the National Institute of Nuclear Physics and AstraZeneca, contributing significantly to fields like particle accelerators for tumor therapy and telemonitoring systems for heart failure.

Research Interests 🔬

Agostino Giorgio’s research interests encompass embedded systems, FPGA design, AI implementation on microcontrollers, quantum computing, and digital electronics for telemedicine and home care applications. His work focuses on advancing technology’s role in enhancing healthcare and safety systems.

Awards 🏆

Agostino Giorgio has earned acclaim for his research contributions, including his nomination for the Best Researcher Award, recognizing his innovations in AI-driven personal safety devices and quantum computing emulation.

Publications

IEEE Access (2024): “Project and Implementation of a Quantum Logic Gate Emulator on FPGA Using a Model-Based Design Approach” – cited by 0 articles.

Journal of Low Power Electronics and Applications (2023): “FPGA-Based Decision Support System for ECG Analysis” – cited by 7 articles.

International Journal of Biomedical Engineering and Technology (2023): “Artificial intelligence methods for image classification applied to biological sounds for the early diagnosis of cardiorespiratory pathologies and COVID-19 infection” – cited by 0 articles.

MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

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Mr. MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

PhD student, Nanjing Normal University China

Muhammad Toseef is a dedicated mathematician from Pakistan, who has made significant contributions to the field of mathematics. He completed his BS Mathematics in 2018 and his Masters of Philosophy in Mathematics in 2021. He is currently a Senior Mathematics Teacher at The Punjab School Lahore. With a strong academic background and a passion for research, Toseef has published multiple impact factor research papers and attended various international conferences and workshops.

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Education 🎓

Muhammad Toseef holds a Master of Philosophy in Mathematics from Government College University, Lahore, with a CGPA of 3.20, completed in 2020. He earned his Bachelor of Science in Mathematics from Government College University, Faisalabad, in 2018 with a CGPA of 3.62. Prior to his university education, he completed his Intermediate in Computer Science (ICS) from BISE Sahiwal and Matriculation in Science from BISE Multan.

Experience 👨‍🏫

Toseef began his teaching career at Bright Grammar School, Lahore, as a Mathematics Teacher from December 2018 to August 2019. He then advanced to become a Senior Mathematics Teacher at The Punjab School Lahore, a position he has held since August 2019.

Research Interests 🔬

His research interests include Integral Inequalities, Quantum Calculus and its Applications, Mathematical Inequalities and Convex Functions, Soliton Solutions of Partial Differential Equations, and Numerical Solutions of Degenerate PDEs. His work in these areas has led to several impactful publications and conference presentations.

Awards 🏆

Toseef has received several awards and honors, including the PEEF Scholarship for both his BS and MS levels from the Punjab Government. He was also awarded a laptop under the Chief Minister Laptop Scheme, recognizing his academic excellence.

Publications 📚

Kashuri, A., Ali, M. A., Abbas, M., & Toseef, M. (2021). Some inequalities for generalized convex functions pertaining generalized fractional integral operators and their applications. Journal of Applied Mathematics, Statistics and Informatics, 17, 2419. (IF=0.40) Link

Ali, W., Asjad, M. I., Toseef, M., & Amjad, T. (2022). Analysis of propagating wave structures of the cold bosonic atoms in a zig-zag optical lattice via comparison with two different analytical. Optical and Quantum Electronics. (IF=2.78) Link

Toseef, M., Zhang, Z., & Ali, M. A. (Revised). On q-Hermite-Hadamard-Mercer and midpoint Mercer type Inequalities for Generalized convex functions and their computational analysis. Journal of Computational and Applied Mathematics. (IF=2.99) Link

Zhan, X., Mateen, A., Toseef, M., & Ali, M. A. (Revised). Some Simpson’s and Ostrowski’s Type Integral Inequalities for Generalized Convex Functions in Multiplicative Calculus With Their Computational Analysis. MDPI, Mathematics. Link

Toseef, M., Zhang, Z., & Ali, M. A. (Submitted). Refinement of Jensen Inequality and Hermite-Hadamard-Mercer Type Inequalities for coordinated convex functions with their applications. Rockey Mountain Journal of Mathematics. Link

Danyal Aghajani | Supply Chain Management | Best Researcher Award

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Mr. Danyal Aghajani | Supply Chain Management | Best Researcher Award

Ph.D. student/Junior researcher, Lappeenranta University of Technology, Finland

Danyal Aghajani is a dedicated Ph.D. student at Lappeenranta University of Technology with a profound interest in optimization, uncertainty programming, and supply chain modeling. He holds a Master’s degree in Industrial Engineering from Iran University of Science and Technology and a Bachelor’s degree in the same field from Islamic Azad University. His career spans various teaching, research, and industry roles, reflecting a robust blend of academic prowess and practical expertise.

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💼 Experience:

His diverse experience includes teaching Quantitative Models and Methods in Logistics and mentoring case study courses. In industry, he serves as a human resource manager and has previously worked in project control management and engineering departments. His voluntary work includes contributions to Mahak, a charity supporting children with cancer.

🔬 Research Interests:

Danyal’s research interests span optimization in mathematical programming, uncertainty programming (robust, fuzzy, and stochastic), data science, machine learning, and supply chain modeling in energy and food sectors. He is particularly focused on decision-making under uncertainty and sustainable supply chain design.

🏆 Awards:

He ranked in the top 1% in the Master’s degree National University Entrance Examination among over 10,000 participants, earning a full scholarship in 2016. Additionally, he secured the second rank in a memorizing competition in Tehran in 2010.

Publications

📄 A Sustainable Integrated Model for Multi-Objective Planning of an Agri-Food Supply Chain under Uncertain Parameters: A Case Study – Accepted at Computers and Chemical Engineering, cited by 5 articles.

📄 A Review of Digital Platform and Circular Economy: Opportunities and Challenges for Developing Countries – Accepted at Taylor & Francis, 2023, cited by 3 articles.

📄 AI Implementation in Innovation Processes: An Uncertainty Perspective – In progress, expected publication in 2024.

📄 A Circular Data-Driven Mathematical Model for Multi-Objective Agri-Food Supply Chain Design Considering GIS Method: Stevia – In progress.📄 A Hybrid Sustainable Biomass Supply Chain Design Using ML Algorithms, GIS Methods, and Robust Modeling – In progress.

Lin Song | Marine Engineering | Best Researcher Award

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Dr. Lin Song | Marine Engineering | Best Researcher Award

Assoc Prof, Tianjin Ren’ai College, China

Lin Song is an Associate Professor of Marine Engineering at Tianjin Ren’ai College. With a strong background in fluid dynamics and marine engineering, she has significantly contributed to high-speed ship technology and marine structures. Dr. Song is an active member of the Chinese Society of Higher Education and the International Association of Ocean Engineers. Her innovative research and numerous publications have established her as a leading figure in her field.

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Scopus

🎓 Education:

Dr. Lin Song earned her doctorate in Marine Engineering from Tianjin University. Her academic journey laid a solid foundation in marine structures, fluid dynamics, and advanced ship technology.

💼 Experience:

Dr. Song has over a decade of experience in marine engineering, focusing on innovative methods for wind load estimation and multi-source factor analysis for LNG storage tanks. She has played a crucial role in both academic research and industry projects.

🔬 Research Interests:

Dr. Song’s research interests encompass fluid dynamics, marine engineering structures, high-speed ship technology, and multiple floating bodies. Her work often integrates cutting-edge simulation technologies to enhance marine engineering education.

🏆 Awards:

Dr. Song has been recognized for her exceptional contributions to marine engineering with several awards, including institutional and industry accolades for her innovative research projects and publications.

Publications

“An Experimental Study on the Resistance of a High-Speed Air Cavity Craft”
Journal of Marine Science and Engineering, 2023.
“A Hybrid Multi-Criteria Decision-Making Framework for Offshore Wind Turbine Selection: A Case Study in China” Applied Energy, 2022.

 

sediqe shafiei | Dental Public Health | Best Researcher Award

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Assist  Prof  Dr. sediqe shafiei | Dental Public Health | Best Researcher Award

Assistant professor, DDS, PhD, School of Dentistry Shahid Beheshti University of Medical Sciences (SBMU), Iran

Dr. Sediqe Shafiei is an Assistant Professor at the School of Dentistry, Shahid Beheshti University of Medical Sciences (SBMU). With a robust academic and professional background in community and oral health, she has been dedicated to advancing oral health education and research.

Profile

Scopus

 

🎓 Education:

Dr. Shafiei pursued her PhD in Community and Oral Health from the School of Dentistry at Shahid Beheshti University from January 2014 to August 2019.

💼 Experience:

After completing her PhD, Dr. Shafiei worked at a health center focusing on preventive dentistry from August 2019 to August 2021. Since August 2021, she has been a faculty member in the Community Oral Health Department at SBMU.

🔬 Research Interests:

Her research interests include the socioeconomic factors affecting oral health, the development of educational tools for promoting oral health, and the barriers to oral health among students with disabilities.

🏆 Awards:

Dr. Shafiei has been involved in multiple research projects and has received recognition for her contributions to oral health education and research. She is a nominee for the Best Researcher Award.

Publications:

“Measurement components of socioeconomic status in health-related studies in Iran” – International Dental Journal, 2020.

“Developing a household socioeconomic status index tool” – BMC Research Notes, 2019.

“Association between Dental Expenditure and Socioeconomic Status in Iran” – Journal of Oral Health and Oral Epidemiology, 2021.

“Investigating Barriers to Promoting Oral Health in Students with Hearing Impairment from Mothers’ Perspective” – Journal of Dental School, 2021.

“Impact of Awareness Obtained from Studying Dentistry on Oral Health-Related Quality of Life at Shahid Beheshti University” – Journal of Iranian Medical Council, 2022.

Ciprian-Marius CEOBANU | Architecture | Best Researcher Award

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Prof Dr. Ciprian-Marius CEOBANU | Architecture | Best Researcher Award

Head of Teacher Training Department, „Alexandru Ioan Cuza” University from Iasi, Romania

👨‍🏫 Dr. Ciprian-Marius Ceobanu is a Professor of Psychology and Educational Sciences at the “Alexandru Ioan Cuza” University of Iași, Romania. As the Head of the Teacher Training Department, he has made significant contributions to the field of Educational Psychology, focusing on the integration of AI and technology in education. His leadership in the EduTe Lab underscores his commitment to advancing educational technologies.

Profile

Scopus

 

Education 🎓

Dr. Ceobanu holds a Ph.D. in Educational Psychology from “Alexandru Ioan Cuza” University of Iași, along with a BA in Philosophy and Psychology. His comprehensive educational background forms the foundation of his innovative research and teaching in educational sciences.

Experience 💼

Dr. Ceobanu is a seasoned educator and researcher, serving as a professor at “Alexandru Ioan Cuza” University since earning his doctorate. He leads the Teacher Training Department and acts as a Doctoral Supervisor in Educational Sciences. His international experience includes coordinating and participating in various research projects.

Research Interests 📚

Dr. Ceobanu’s research focuses on the acceptance of AI and technology in educational contexts, mobile learning, and virtual learning. As the coordinator of EduTe Lab, he investigates cutting-edge educational technologies and their applications, contributing extensively to the academic literature.

Awards🏆

Dr. Ceobanu has received recognition for his work, reflected in his numerous publications and roles in international projects. He has authored and co-authored 13 books, published over 62 articles, and contributed to many influential research initiatives.

Publications📝

Here are some notable publications by Dr. Ciprian-Marius Ceobanu:

Ceobanu, C., Cucoș, C., Istrate, O., & Pânișoară, I.-O. (2022). “Educația digitală” (Digital Education). Ed. Polirom Iași. ISBN 978-973-46-8227-0. Cited by this article.

Ceobanu, C. (2016). “Învățarea în mediul virtual: Ghid pentru utilizarea calculatorului în educație” (Learning in the virtual environment). Ed. Polirom Iași. ISBN 978-973-46-5827-2. Cited by this article.

Ceobanu, C., Hrițuleac, A. (2015). “Dimensiuni ale rezilienței psihologice: Abordări teoretice și aplicative” (Dimensions of psychological resilience: Theoretical and applied approaches). Ed. Pro Universitaria. ISBN 978-606-26-0360-1. Cited by this article.

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.