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Admissions
14 – 15 July, 2026

2 – Day Symposium
cgermes.AI – Research, Education & Practice

Blended Mode (Online & Offline)

Brochure

Amrita Vishwa Vidyapeetham, Mysuru Campus

About the Symposium

The 2-Day Symposium on “cgermes.AI – Research, Education & Practice” is designed to strengthen advanced research capabilities among faculty members, research scholars, industry practitioners, and students through expert-led sessions, hands-on demonstrations, and interactive discussions. The symposium focuses on enhancing competencies in quantitative and qualitative research methodologies, scale development and validation, experimental research designs, bibliometric analysis, artificial intelligence applications in research, and scholarly publishing practices. Participants will gain practical exposure to advanced research tools and methodologies that can be applied across multidisciplinary domains

organizers

programme objectives

The symposium aims to:

  • Develop advanced research skills among faculty members and doctoral scholars through structured methodological training.
  • Equip participants with expertise in systematic literature review, bibliometric analysis, qualitative research methods, and experimental designs.
  • Build competency in primary data analysis techniques, including Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Structural Equation Modelling (SEM), and Partial Least Squares Structural Equation Modelling (PLS-SEM).
  • Promote the ethical use of Artificial Intelligence tools to improve efficiency and productivity in research and academic writing.
  • Provide networking opportunities with journal editors and subject experts to understand publication expectations and best practices.

programme schedule

Advanced Quantitative Techniques

Session Topic:

  • Design, Development, and Validation of Scales using SPSS
  • Advanced Statistical Analysis
Advanced Qualitative Techniques

Session Topic:

  • Qualitative Approaches: From Coding to Theorizing
Foundations of Experimental Designs

Topics include:

  • Theoretical Foundations in Experiments
  • Randomized Controlled Trial (RCT) Design Options and Measures

Special Session

  • Insights from Scholarly and Leadership Experience in Doctoral Education
Pedagogy

The programme adopts a blended learning approach comprising:

  • Conceptual lectures
  • Hands-on data analysis sessions
  • Software demonstrations
  • Case studies
  • Interactive discussions
Software and Tools Covered

Participants will gain exposure to:

  • VOSviewer
  • NVivo (Qualitative Data Analysis)
  • SPSS (Statistical Analysis)
  • AMOS
  • SmartPLS (SEM and PLS-SEM)
Expected Outcomes

Participants will be able to:

  • Enhance the quality of research output.
  • Promote interdisciplinary collaboration.
  • Increase publications in peer-reviewed journals.
  • Strengthen the research ecosystem within academic institutions.

key speakers

Prof. Sridhar Ramamoorti

Ph.D.
Co-Founder & President, GRC Metrix LLC; Associate Professor, University of Dayton, Ohio, USA

Neelakantan Venkatachalam

Chief Strategy Officer, GRC Metrix LLC

Prof. Cory Campbell

Ph.D.
Co-Founder & Chief Operating Officer, GRC Metrix LLC; Associate Professor of Accounting, Indiana State University, USA

Ms. Julie Vore

Attorney-at-Law, USA

Prof. Shekar Babu

Ph.D.
Associate Dean & Professor, Amrita Vishwa Vidyapeetham, Mysuru Campus

Prof. Raghav Rao

Ph.D.
AT&T Distinguished Chair in Infrastructure Assurance and Security

Dr. Souvik Singha

Ph.D.
Assistant Professor, Amrita School of Business, Amrita Vishwa Vidyapeetham, Mysuru Campus

Prof. Rajeswari P. S.

Ph.D.
Professor, Faculty of Management, SRM University, Chennai

Registration

Category Fee Registration Link
Faculty Members ₹1,500

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Industry Practitioners ₹2,000

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Research Scholars ₹1,500

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Online Participants ₹1,000

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contact us

For registration and further details:

Mr. Prajwal Jain P.
Phone: +91 99866 75070

Mr. Tejas H.
Phone: +91 82772 94785

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