1. Objective of the Awards
The awards at Viksit Bharat@2047 aim to recognize and honor outstanding researchers, academicians, and industry professionals for their exceptional contributions, innovation, leadership, and impact in the fields of Artificial Intelligence, Machine Learning, Data Science, Quantum Computing, and Cloud Technologies.
2. Award Categories Covered
- AI & Analytics Visionary Award
- Technology Transformation Leader
- Data Science Excellence Award
- Research Innovation Award
- AI & Intelligent Automation Award
- Enterprise Security & Resilience Award
- Semiconductor Technology Excellence Award
- Next-Gen Computing & Cloud Architecture Award
- Data Platform & Engineering Excellence Award
- Outstanding Academic Achievement Award
- Academic Innovation & Leadership Award
- DevOps & Platform Engineering Excellence
- Healthcare Technology Innovation Award
- Fintech & AI Product Leadership Award
3. Nomination and Eligibility
- Nominations may be self-nominated or proposed by peers, institutions, or organizations.
- Nominees must demonstrate significant contributions relevant to the award category.
- All nominations must be submitted via email along with the candidate's detailed CV and two supporting reference letters from well-known academicians, employers, or fellow members of reputed professional societies such as IEEE, SCRS, ACM, etc.
4. Selection and Evaluation Process
The selection of awardees follows a rigorous, transparent, and multi-stage evaluation process, ensuring fairness and credibility.
Stage 1:
Preliminary Screening
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Verification of eligibility and completeness of the nomination.
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Compliance with award guidelines and category relevance.
Stage 2:
Technical and Qualitative Evaluation
Each eligible nomination is evaluated using predefined parameters, including:
- Innovation and originality
- Technical excellence and depth
- Practical/industrial relevance (where applicable)
- Research quality and contribution to the field
- Impact (academic, industrial, or societal)
- Leadership and professional influence
Stage 3:
Final Review and Approval
- Consolidated scores and qualitative assessments are reviewed.
- Final decisions are made through committee deliberation.
- The committee's decision shall be final and binding.
5. Award-Specific Evaluation Criteria
5.1 AI/ML Researcher Excellence Award
- Quality and originality of research contributions
- Publications, patents, or deployed solutions
- Impact on AI/ML research or applications
5.3 Industry Leader in Cloud Computing Award
- Novel integration of quantum computing with AI
- Innovation potential and future applicability
- Technical depth and research significance
5.4 Emerging Tech Leader – AI & Data Science
- Early to mid-career leadership and growth
- Innovative projects and implementations
- Demonstrated future potential