Innovative Research Award
Himanshu Bansal
ProcDNA
The Innovative Research Award recognizes scholarly excellence, interdisciplinary innovation, and measurable scientific contributions. Himanshu Bansal’s research activities at ProcDNA demonstrate an emerging commitment to evidence-based environmental monitoring and analytical methodologies. The recognition highlights research quality, publication performance, and academic engagement within the broader scientific community.[1]
Abstract
This article summarizes the academic profile of Himanshu Bansal, emphasizing research engagement in environmental monitoring and data-driven scientific investigations. The profile reflects publication output, citation performance, and scholarly visibility through internationally recognized indexing systems. The award evaluation considers originality, methodological rigor, and contribution to sustainable scientific advancement.[2]
Keywords
Environmental Monitoring, Scientific Innovation, Research Excellence, Data Analytics, Sustainable Development, Interdisciplinary Research, Academic Recognition, Scholarly Impact.
Introduction
Contemporary environmental research increasingly depends on advanced analytical frameworks and integrated data interpretation. Researchers working across industrial and scientific domains contribute substantially toward evidence-based decision making. Himanshu Bansal’s scholarly activities align with these objectives by supporting research initiatives focused on environmental assessment and innovation.[3]
Research Profile
Himanshu Bansal is affiliated with ProcDNA, India, and maintains an indexed scholarly presence through Scopus and ORCID platforms. The available bibliometric indicators indicate an emerging research trajectory supported by peer-reviewed publications and citation activity. Such profiles provide transparent measures of productivity and academic visibility within international research ecosystems.[1]
Research Contributions
The research contributions associated with this profile emphasize environmental monitoring, quantitative analysis, and interdisciplinary problem solving. By integrating scientific methods with analytical technologies, the research supports sustainable practices and informed policy development. Continued scholarly engagement may further strengthen contributions across environmental and applied research domains.[3]
Publications
The publication portfolio indexed under the author’s Scopus profile demonstrates active participation in peer-reviewed scholarly communication. Existing publications collectively address analytical methodologies and domain-specific scientific challenges relevant to environmental monitoring. The available record, although developing, indicates sustained academic engagement and potential for future interdisciplinary collaborations and expanded citation influence.[5]
Research Impact
Bibliometric indicators, including citations and h-index values, provide evidence regarding scholarly influence and knowledge dissemination. Citation accumulation demonstrates that published findings are being recognized and referenced within related academic communities. These metrics contribute to evaluating research significance while complementing qualitative assessments of originality and relevance.[2]
Award Suitability
Based on available scholarly indicators, Himanshu Bansal demonstrates characteristics commonly considered for academic recognition programs. Research productivity, indexed visibility, and interdisciplinary engagement support eligibility for the Innovative Research Award under the International Research Scientist Awards framework. Ongoing publication activity and broader collaboration networks may further enhance future recognition opportunities.[1]
Conclusion
The academic profile of Himanshu Bansal reflects an emerging and developing research career characterized by scientific engagement and measurable scholarly activity. Recognition through innovation-oriented award platforms encourages continued contributions to environmental monitoring and interdisciplinary science. Sustained publication efforts are expected to strengthen long-term academic impact and visibility.
External Links
References
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- Bansal, H., Badshah, G., Sinha, A., Varshney, Y., Alaghtani, O., & Srivastava, A. (2026). Adaptive drift-aware multi-stage deep learning framework for EEG-based schizophrenia diagnosis. BioData Mining. https://doi.org/10.1186/s13040-026-00560-2
https://doi.org/10.1186/s13040-026-00560-2
- Bansal, H., Sinha, A., Agarwal, G., Mishra, S. K., Gupta, S., Chaudhary, P., Ashokrao, P. R., Kushwaha, A., Bagaria, M. K., Reza, M. S., Agrawal, A., Bhad, S., Khalid, S., Lasisi, A., & Aseere, A. M. (2025). A hybrid DL with battle royal optimisation algorithm for accurate tree counting using satellite images. International Journal of Computational Intelligence Systems, 18(1), 222.
https://dblp.org/rec/journals/ijcisys/BansalSAMGCAKBRABKLA25
- ORCID. (n.d.). Himanshu Bansal (ORCID iD: 0009-0009-3328-7953). ORCID Registry. Retrieved June 29, 2026, from
https://orcid.org/0009-0009-3328-7953