Advanced Data Science and Computational Intelligence (Annual (One issue per year))
Sindhura Kannappan (Ph.D)
Editorial Member
| Affiliation | Department of Management Studies, MEASI Institute of Management, Chennai, Tamil Nadu, India |
|---|---|
| University / Institution | MEASI Institute of Management |
| Department | Department of Management Studies |
| Designation | Assistant Professor |
| sindhura.kannappan@measiim.edu.in | |
| Country | India |
Dr. Sindhura Kannappan is an Assistant Professor at MEASI Institute of Management, Chennai, India, and is currently pursuing her Postdoctoral Research at Lincoln University College, Malaysia. She completed her Ph.D. in Business Administration from the University of Madras and holds a Bachelor of Engineering in Electronics and Communication Engineering along with an MBA in Human Resource Management and Analytics from VIT Business School, where she graduated as the Gold Medalist and First Rank Holder (2016–2018). She also qualified the Tamil Nadu State Eligibility Test (SET) for Assistant Professor in 2025.
Her passion for research developed during her MBA, with a strong focus on statistical analysis, business analytics, and research methodology. She possesses expertise in qualitative and quantitative research methods and is proficient in advanced analytical tools, including SPSS, AMOS, SmartPLS, R, Python, Tableau, Power BI, NVIVO, ATLAS.ti, STATA, Minitab, IBM Cognos Analytics, Google Looker Studio, Machine Learning, Deep Learning, Artificial Intelligence, and other modern research and data analytics platforms.
Dr. Sindhura has published more than 70 research articles in reputed journals indexed in Scopus, Web of Science, ABDC, and UGC Care. She has presented over 20 research papers at national and international conferences and has authored 3 books, published 2 patents, and contributed 5 book chapters. Her research spans Human Resource Management, Organizational Behaviour, Leadership, Talent Management, Business Analytics, Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Entrepreneurship, Marketing, Operations Management, and Research Methodology.
She has received numerous national and international recognitions, including the Young Researcher Award by IJIEMR–Elsevier SSRN Research Awards (2021), Education Excellence Award – Best Researcher (2021), Best Research Inspiration Award (IJMTST, 2020), Research Excellence Award (Institute of Scholars, 2021), SHEN International Best Researcher Award (2021), Best Thesis Award (SIDVI Foundation, 2024), Best Academician Award (2024), Best Professor Award (2025), Award for Training Excellence (2025), and several other awards for excellence in research, teaching, and academic leadership.
She is a Senior Member of REST Society for Research International (RSRI) and holds lifetime memberships in several prestigious national and international professional bodies, including the Institute of Scholars (InSc), SOLETE, IAENG, I2OR, South Asia Management Association, HR Sangam, Research Council of India, and many other academic and research organizations.
Dr. Sindhura actively serves as a reviewer and editorial board member for several reputed Scopus and Web of Science indexed journals, including the International Journal of Business Analytics (IJBAN), International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), South Asian Journal of Social Studies and Economics, Asian Journal of Economics, Business and Accounting, Asian Journal of Advanced Research and Reports, Journal of Economics, Management and Trade, and many other international journals. She also contributes as an editor, keynote speaker, session chairperson, conference convenor, technical committee member, mentor, and organizing secretary for numerous international conferences.
She has delivered keynote lectures and served as a resource person for workshops and faculty development programmes on Statistical Analysis using SPSS, Data Analysis using Python, Bibliometric Analysis using VOSviewer, JAMOVI, NotebookLM, Canva, AI Prompt Engineering, Research Methodology, Formulation of Research Questions and Hypotheses, Variables and Measurement in Research, and other emerging technologies. She has also delivered invited lectures for Ph.D. scholars at Bhakta Kavi Narsingh Mehta University (BKNMU), served as a speaker at the 2026 IUPAC Global Women's Breakfast, and conducted several international FDPs and workshops.
Dr. Sindhura has organized numerous academic and industry-oriented events, including workshops on Artificial Intelligence, Machine Learning, Deep Learning, SQL, Python, Generative AI, Prompt Engineering, Predictive Analytics, Data Visualization, Entrepreneurship, Financial Analytics, and Hackathons, fostering innovation and research excellence among students, researchers, and academicians.