Nidhi Bhatia | Data-Driven Decision Making | Best Researcher Award

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Ms. Nidhi Bhatia | Data-Driven Decision Making | Best Researcher Award

Doctoral researcher at IIT DELHI, India

Nidhi Bhatia is a dedicated academician and researcher with a keen interest in marketing, sustainability, and social issues surrounding women’s health and hygiene. Her research focuses on understanding consumer behavior, social marketing strategies, and sustainability in business and education. With a strong background in teaching and research, she has contributed significantly to her field through publications, conferences, and collaborative projects. She is currently pursuing her Ph.D. in Marketing at the Department of Management Studies, IIT Delhi, under the supervision of Prof. Biswajita Parida.

Profile

Scopus

Education

Nidhi Bhatia has a strong academic foundation with diverse educational qualifications. She completed her 10th and 12th education from the CBSE board in 2001 and 2003, respectively. She earned a Bachelor of Science degree in Statistics, Mathematics, and Physics in 2006, followed by a Master of Science in Physics, Electronics, and Communication in 2008. She later pursued an MBA in Marketing and Human Resources in 2010. Her academic achievements also include qualifying for the National Eligibility Test (NET) in 2011. She enrolled in the Ph.D. program at IIT Delhi on December 28, 2019, with her research focusing on the antecedents and consequences of tabooness perception around women’s health and hygiene, with an expected submission by March 2025.

Experience

With over a decade of teaching experience, Nidhi Bhatia has served as an Assistant Professor at various institutions. She began her academic career at Radha Govind Engineering College (2010-2011) and later joined Meerut Institute of Engineering and Technology (2011-2016). From 2017 to 2019, she worked as a guest faculty member at the University of Petroleum and Energy Studies, Dehradun. Additionally, she has delivered Entrepreneurship Development Program (EDP) lectures at the National Institute for Entrepreneurship and Small Business Development (NIESBUD) in Noida and Dehradun. Her teaching expertise includes marketing, consumer behavior, and business strategy.

Research Interests

Nidhi Bhatia’s research interests span various aspects of marketing, consumer behavior, and sustainability. Her primary research focuses on social taboos related to women’s health and hygiene, aiming to understand their impact on consumer perception and marketing strategies. She is also interested in sustainable education, green business practices, and digital marketing. Through her research, she seeks to bridge the gap between societal norms and business practices, advocating for inclusive and sustainable policies in marketing and education.

Awards

Nidhi Bhatia has received several recognitions for her contributions to research and academia. She was awarded the Best Paper Award at the International Hybrid Conference on Diversity, Equity & Inclusion: Creating a Value-Based Sustainable Future at IILM Jaipur. Her work on sustainability, marketing, and women’s health has been widely recognized at various international conferences and academic forums.

Publications

Bhatia N., Parida B. (2024). “Taboo in Business and Society: Past, Present and Future.” Global Business Review (Under Review, Sage Publications).

Manchanda K., Bhatia N., Parida B. (2024). “Noteworthiness of Sustainable Education in Higher Education: A Qualitative Study.” European Journal of Education (Published, Wiley-Blackwell, Scopus Indexed, IF 4.5, Cite Score 2.8).

Bhatia N., Parida B. (2024). “Smart Cities’ Approaches to Menstrual Hygiene Management.” 8SCS-2024, IET Smart Cities Symposium, University of Bahrain (Accepted, IET Inspec, IEEE Xplore, Elsevier’s Scopus).

Bhatia N., Parida B. (2023). “Health is Wealth: Importance of Healthcare Management in Smart Cities.” 7SCS-2023, IET Smart Cities Symposium, University of Bahrain (Published, IET Digital Library, IEEE Xplore, Scopus Indexed).

Bhatia N., Manchanda K., Parida B. (2023). “Menstruation Effect on Well-Being: Exploring the Mediating Role of Physical Pain and Psychological Anguish.” ICISAS, Curtin University, Dubai (Published, Springer).

Bhatia N., Parida B. (2023). “Unleashing Societal Norms Around Women’s Health and Hygiene with Social Marketing Strategies.” ANZMAC 2023, New Zealand (Published, Conference Proceedings).

Bhatia N., Parida B. (2023). “Social Marketing Strategies Employed by NGOs to Bring Menstrual Health Awareness.” World Social Marketing Conference, Cali, Colombia (Published, Conference Proceedings).

Conclusion

Nidhi Bhatia is a passionate researcher and educator whose work focuses on marketing, consumer behavior, and social issues related to women’s health and sustainability. Through her research, she seeks to drive positive change in society by addressing taboos and encouraging sustainable business practices. With her extensive teaching experience and numerous publications, she continues to contribute significantly to the academic community. Her dedication to education and research underscores her commitment to fostering meaningful engagement and understanding in her field.

jizhou Cao | Data-Driven Decision Making | Best Scholar Award

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Mr. jizhou Cao | Data-Driven Decision Making | Best Scholar Award

Student | Xinjiang University | China

Mr. Jizhou Cao is a dedicated academic and researcher currently serving at Xinjiang University. With a background in civil engineering and machine learning, he has significantly contributed to the understanding of reinforced concrete (RC) column shear behaviour, integrating advanced machine learning techniques into structural engineering. His work has explored the initial failure process in RC columns and prediction methods for shear capacity, demonstrating a unique synergy between civil engineering and machine learning. Mr. Cao’s research has been published in well-respected journals, furthering the application of machine learning to solve real-world engineering problems.

Profile

Scopus

Education

Mr. Cao earned his master’s degree from Hainan University, where he gained a solid foundation in civil engineering. He continued his academic journey by pursuing further studies at Xinjiang University, which has fostered his research interests in the intersection of civil engineering and machine learning. His educational path reflects a blend of practical expertise and theoretical understanding, particularly in the realm of structural analysis and innovative technologies such as machine learning.

Experience

With years of academic and research experience, Mr. Cao has engaged in multiple projects that apply cutting-edge technologies to civil engineering problems. His work has focused on developing predictive models for the shear capacity of RC columns and understanding the failure processes in concrete structures using machine learning techniques. He has also been involved in consultancy projects, contributing his expertise to real-world applications. His professional journey highlights his commitment to advancing both the scientific understanding and practical application of structural engineering.

Research Interest

Mr. Cao’s primary research interests lie in the integration of machine learning with civil engineering, particularly in structural analysis and the failure mechanisms of reinforced concrete structures. His research aims to bridge the gap between computational techniques and practical engineering solutions, with a special focus on the prediction of shear failure in RC columns. His work seeks to improve the accuracy of structural safety evaluations and enhance the resilience of concrete structures under various loading conditions.

Award

Mr. Cao has been recognized for his contributions to the field of civil engineering and machine learning. His research has garnered attention from leading academic institutions, with multiple nominations for prestigious awards such as the Young Scientist Award and the Excellence in Innovation Award. These accolades reflect his impactful contributions to advancing engineering practices, particularly in the realm of structural safety and the application of machine learning.

Publications

Mr. Cao has authored several influential articles, contributing to the academic discourse on machine learning applications in civil engineering. Some of his key publications include:

“Exploring the initial state of the shear failure process in RC columns based on machine learning,” Journal of Structural Engineering, 2024.

“Prediction of shear capacity of RC columns and discussion on shear contribution via the explainable machine learning,” Structural Safety Journal, 2023. These works have been cited by numerous researchers, highlighting the significance of his research in the field.

His publications have addressed critical aspects of structural engineering and have demonstrated the potential of machine learning to revolutionize the field.

Conclusion

Mr. Jizhou Cao’s work stands as a testament to the potential of machine learning in reshaping civil engineering practices. His academic background, coupled with a strong research focus on shear failure prediction in RC columns, underscores his commitment to advancing both theoretical and applied knowledge in structural engineering. As he continues to explore innovative solutions through machine learning, Mr. Cao is poised to make lasting contributions to the safety and efficiency of civil infrastructure, enhancing the way engineers approach complex structural challenges. His dedication to research and innovation makes him a valuable asset to both academia and the engineering community.