
📅 26th – 30th October 2026 ⏰ 7:30 PM – 9:00 PM IST |💻 Online | Live Interactive Sessions
Faculty: 295 | Research Scholar: 265 | Students: 195 | Foreign Participation: $4

Meet the Resource Person
Dr. Faraz Ahmad
Associate Professor, Amity University Gurugram
Gain valuable insights into government-sponsored research projects, research funding opportunities, and strategies for pursuing funded academic research.

Dr. Rishi Manrai
Professor, Bennett University, Greater Noida
An expert-led learning experience focused on impactful research, high-impact journal publishing, and converting analytical findings into publishable research papers.
Dr. Prashant Dev Yadav
Assistant Professor, SCMS, Symbiosis International University, Noida Campus
Explore PLS-SEM and CB-SEM, predictive modelling, model fit assessment, theory testing, and the application of structural equation modelling in academic research.


Program Overview:
The Five-Day International Level Faculty Development Program on “Doing Research That Reviewers Can’t Reject” is designed to strengthen research competencies and enhance the quality, credibility, and publication potential of academic research.
The program brings together experienced academic resource persons to guide participants through impactful research and high-impact journal publishing, government-sponsored research projects, Partial Least Squares Structural Equation Modelling (PLS-SEM), Covariance-Based Structural Equation Modelling (CB-SEM), and the conversion of analytical findings into research papers.
Through expert-led online sessions, participants will gain practical insights into research publication strategies, funding opportunities, statistical modelling, theory testing, and effective academic writing.
Why This Workshop Is Different?
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Expert-led sessions by experienced academic professionals.
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Practical insights into high-impact journal publishing.
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Guidance on government-sponsored research projects.
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Understanding the applications of PLS-SEM and CB-SEM.
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Learning model assessment and theory-testing approaches.
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Strategies for converting statistical analysis into research papers.
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Five focused sessions covering essential stages of the research journey.
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Online learning accessible to participants from different locations.
Who Should Attend ?
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Faculty Members and Assistant Professors
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Research Scholars and PhD Students
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Postgraduate and Undergraduate Students
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Academic Researchers
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Journal Authors and Aspiring Researchers
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Professionals interested in research funding and publication
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Anyone seeking to strengthen their research and analytical skills
