Y. Reddy | Computer Science | Innovative Research Award

Innovative Research Award

Y. Reddy
Lakireddy Bali Reddy College of Engineering, India

Y. Reddy
Affiliation Lakireddy Bali Reddy College of Engineering
Country India
Scopus ID 57200293074
Documents 13
Citations 30
h-index 2
Subject area Data Science
Event Indian Scientist Awards
ORCID 0000-0002-8840-3060

Y. Reddy is identified in the supplied information as a researcher affiliated with Lakireddy Bali Reddy College of Engineering in India, with Data Science listed as the principal subject area. The profile includes a Scopus author identifier, an ORCID record, and reported bibliometric indicators. These details provide a basis for reviewing research activity and potential recognition through the Indian Scientist Awards. The information should be checked against authoritative records before formal publication or award consideration. [1] [2]

Abstract

This article presents a concise academic profile of Y. Reddy, whose stated research area is Data Science. The supplied information identifies an institutional affiliation and provides Scopus and ORCID identifiers, alongside reported publication and citation metrics. It outlines considerations for evaluating research contributions and award suitability while distinguishing supplied information from independently verified findings. [1] [2]

Keywords

Y. Reddy; Data Science; academic research; data analytics; computational methods; scholarly publications; bibliometrics; citation analysis; research impact; scientific recognition; Indian Scientist Awards. [1] [3]

 Introduction

Data Science combines statistical analysis, computing, and domain knowledge to extract useful insights from complex datasets. Its applications include predictive modelling, decision support, pattern recognition, and evidence-based planning. Y. Reddy’s supplied profile identifies Data Science as a research area. Evaluating this work requires examining verified studies, methodological rigour, reproducibility, and documented practical relevance. [3]

 Research Profile

Y. Reddy is listed in the supplied information as affiliated with Lakireddy Bali Reddy College of Engineering, India. The profile provides Scopus author ID 57200293074 and ORCID 0000-0002-8840-3060. It reports 13 documents, 30 citations, and an h-index of 2. These indicators should be checked against current database records and matched to the correct author before academic use. [1] [2]

Research Contributions

Data Science research can contribute through improved algorithms, reliable analytical workflows, effective visualisation, and methods for interpreting complex information. Specific contributions by Y. Reddy should be established through verified publications and documented results rather than inferred from subject classification alone. Assessment should consider originality, sound methodology, reproducibility, comparative performance, and potential usefulness in relevant academic or practical settings. [3]

 Publications

The supplied profile reports 13 documents associated with the researcher’s Scopus author record. A comprehensive publication list should verify article titles, author order, journal or conference details, publication dates, and available digital object identifiers. Individual publication titles and DOI numbers were not supplied for this article, so specific papers cannot be reliably identified without checking the linked bibliographic records. [1] [2]

 Research Impact

The supplied profile reports 30 citations and an h-index of 2. These measures offer limited indicators of publication visibility and citation activity, but do not independently demonstrate originality, quality, or societal benefit. Interpretation should account for career stage, publication dates, disciplinary practices, database coverage, and the content of citing works. Documented applications and independent evaluations can provide additional evidence of impact. [1]

 Award Suitability

Suitability for an innovative research award depends on the official eligibility requirements and evaluation criteria established by the organiser. Relevant evidence may include original findings, methodological advances, peer-reviewed publications, research integrity, and demonstrated benefits. The supplied profile provides preliminary bibliometric information but does not establish eligibility, nomination, or selection. A fair assessment requires verified research outputs and confirmation of the award’s current rules. [3]

Conclusion

The supplied information identifies Y. Reddy with Lakireddy Bali Reddy College of Engineering and lists Data Science as the research area. Reported publication and citation indicators offer a starting point for academic review. A credible recognition profile should additionally document individual research contributions, verify bibliographic records, assess research quality, and confirm award criteria before drawing conclusions about suitability or achievement. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Y. Reddy, Author ID 57200293074. Scopus. The author record is provided for bibliographic verification; reported metrics should be checked directly.

    https://www.scopus.com/authid/detail.uri?authorId=57200293074

  2. ORCID. (n.d.). ORCID record: 0000-0002-8840-3060. ORCID provides persistent researcher identifiers and supports links between researchers and scholarly outputs.

    https://orcid.org/0000-0002-8840-3060

  3. Indian Scientist Awards. (n.d.). Official website. Consult current award categories, eligibility rules, nomination requirements, and published results directly with the organiser.

    https://indianscientist.in/

Banupriya N | Computer Science | Young Researcher Award

Dr. Banupriya N | Computer Science | Young Researcher Award

R.M.K. Engineering College, India

Dr. N. Banupriya is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at R.M.K. Engineering College. She holds advanced degrees in Computer Science and is pursuing doctoral research, reflecting her commitment to academic excellence. With extensive teaching experience, she has contributed significantly to research in Artificial Intelligence, Machine Learning, Data Analytics, and Brain-Computer Interface. She has published in reputed journals and conferences and received recognitions including Infosys Campus Connect certifications. Her work demonstrates dedication to innovation, impactful research, and academic leadership.

Citation Metrics (Scopus)

15
10
5
2
0

Citations
4

Documents
12

h-index
1

Citations

Documents

h-index

Featured Publications

ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

Indian Institute of Technology Kharagpur India, India

Prof. Dr. Adrijit Goswami is a distinguished academic in Mathematics at the Indian Institute of Technology Kharagpur, specializing in Operations Research and Optimization. He earned his doctorate from Jadavpur University and has extensive teaching and research experience. His interests include supply chain management, fuzzy systems, vehicle routing, cryptography, and data analytics. A recipient of multiple academic honors, he has supervised numerous doctoral scholars and published widely. His work significantly advances mathematical modeling, optimization science, and impactful decision-making research.

Research Metrics (Google Scholar)

8000
6000
4000
2000
0

Citations
7384

h-index
45

i10-index
109

Citations

h-index

i10-index

Featured Publications


A secure biometrics-based multi-server authentication protocol using smart cards

V Odelu, AK Das, A Goswami – IEEE Transactions on Information Forensics and Security
Cited by: 489 · Year: 2015


An EOQ model for deteriorating items with linear time-dependent demand rate and shortages under inflation and time discounting

S Bose, A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 354 · Year: 1995


An EOQ model for deteriorating items with shortages and a linear trend in demand

A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 343 · Year: 1991


Multiobjective transportation problem with interval cost, source and destination parameters

SK Das, A Goswami, SS Alam – European Journal of Operational Research
Cited by: 281 · Year: 1999


A deterministic inventory model for deteriorating items with stock-dependent demand rate

S Pal, A Goswami, KS Chaudhuri – International Journal of Production Economics
Cited by: 269 · Year: 1993

Tejinder Kaur | Computer Science | Best Researcher Award

Dr. Tejinder Kaur | Computer Science | Best Researcher Award

MM Institute of Computer Technology & Business Management | India

Dr. Tejinder Kaur is an accomplished academic and researcher in Computer Science and Engineering, currently serving as an Associate Professor with extensive teaching and research experience in artificial intelligence, machine learning, big data, and software engineering. She holds a Ph.D. from Thapar University and an M.Tech from Chandigarh University, with postdoctoral research in progress from a reputed public university. Her work has earned significant scholarly recognition with over 54,815 citations, an h-index of 65, and an i10-index of 148, reflecting her impactful contributions to scientific research and innovation. Dr. Kaur has authored and reviewed numerous research papers and book chapters and has guided several postgraduate theses in areas like vehicular networks, routing protocols, and wireless sensor networks. Her research interests span artificial intelligence, IoT, cybersecurity, and advanced computing systems. She has published over 277 papers, filed and been granted multiple national and international patents, and received prestigious awards, including honors from IEEE, Infosys, and SAP. A committed educator and innovator, Dr. Kaur continues to inspire through academic excellence and research leadership. Her outstanding academic record, extensive publication portfolio, and technological innovations highlight her as a dynamic professional dedicated to advancing computing and intelligent systems.

Profiles: Google Scholar | Scopus

Featured Publications

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Observation of gravitational waves from a binary black hole merger. Physical Review Letters, 116(6), 061102. https://doi.org/10.1103/PhysRevLett.116.061102

Aasi, J., Abbott, B. P., Abbott, R., Abbott, T., Abernathy, M. R., Ackley, K., Adams, C., et al. (2015). Advanced LIGO. Classical and Quantum Gravity, 32(7), 074001. https://doi.org/10.1088/0264-9381/32/7/074001

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). GW151226: Observation of gravitational waves from a 22-solar-mass binary black hole coalescence. Physical Review Letters, 116(24), 241103. https://doi.org/10.1103/PhysRevLett.116.241103

Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., et al. (2023). GWTC-3: Compact binary coalescences observed by LIGO and Virgo during the second part of the third observing run. Physical Review X, 13(4), 041039. https://doi.org/10.1103/PhysRevX.13.041039

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Tests of general relativity with GW150914. Physical Review Letters, 116(22), 221101. https://doi.org/10.1103/PhysRevLett.116.221101