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/

Ayshika Kapoor | Computer Science | Women Researcher Award

Dr. Ayshika Kapoor | Computer Science | Women Researcher Award

Indian Institute of Technology Roorkee,  India

Dr. Ayshika Kapoor is a researcher in Electronics and Communication Engineering with a Ph.D. specializing in privacy-preserving and communication-efficient federated learning. Her work focuses on secure AI, urban sensing systems, and domain-adaptive learning. She has experience as a research scientist, contributing to intelligent mobility and autonomous systems. With multiple high-impact publications, conference presentations, and a granted copyright, she has earned prestigious fellowships and research recognition. Her contributions advance scalable, secure, and efficient AI solutions for real-world applications.

Citation Metrics (Google Scholar)

20
15
10
5
0

Citations
19

Documents
11

h-index
3

Citations

Documents

h-index

Featured Publications


A resource adaptive secure aggregation protocol for federated learning based urban sensing systems


– Joint International Conference on Data Science (Cited by 6 · Year: 2023)


Optimization of user resources in federated learning for urban sensing applications


– Federated Learning for Distributed Data Mining Workshop (Cited by 3 · Year: 2023)

Ishita Biswas | Botany | Best Researcher Award

Dr. Ishita Biswas | Botany | Best Researcher Award

S.B.S. Government College, Hili, India

Author Profile

SCOPUS

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Ishita Biswas began her academic journey in Botany with distinction, completing her B.Sc. (Hons.) in Botany in 2011 from the University of North Bengal, followed by an M.Sc. in Botany with a specialization in Biochemistry in 2013 from the same institution. Her exceptional academic performance earned her a Silver Medal from the Honorable Governor for securing the First Class Second Position in her postgraduate studies. She further pursued a Ph.D. in Microbiology from Raiganj University, awarded in 2024, demonstrating her commitment to interdisciplinary scientific excellence.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as an Assistant Professor in Botany (W.B.E.S.) at S.B.S. Government College, Hili, Dr. Biswas has taken on numerous academic and administrative responsibilities. These include roles as Convener of the Students’ Welfare & Disciplinary Sub-Committee, Joint Convener for Routine and Women Grievance Cell, and membership in critical institutional bodies such as NIRF Ranking Committee, Examination and Sports Sub-Committees, and the UGC & Website Sub-Committees. Her involvement in institutional governance reflects a balance between teaching, mentorship, and administrative diligence.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN BOTONY

Dr. Biswas’s research bridges Microbiology, Biotechnology, and Botany, particularly focusing on:

  • Microbial fermentation using tannase-producing bacteria

  • Probiotics and metabiotics

  • Biocatalysis and enzyme technology

  • Nanobiotechnology (notably silver nanoparticles)

  • Bioinformatics and in-silico drug discovery

She has made significant contributions in identifying novel microbial strains, optimizing enzyme production, and applying them in environmental and therapeutic contexts. Her work on vermicomposting, organic waste valorization, and soil microbiology aligns closely with sustainable agricultural practices and ecological conservation.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Dr. Biswas has authored 19 peer-reviewed full-length research papers published in reputed journals like Microbial Pathogenesis (Elsevier), Journal of Proteins and Proteomics (Springer), Heliyon (CellPress), and Bioresource Technology Reports. Notable recognitions include:

  • 🥈 Silver Medalist – University of North Bengal, 2013

  • 🏆 Best Presenter Award – BioSpectrum 2023 & 2024 (International Conferences)

  • 🎖️ Outstanding Paper Award – 6th Regional Science & Technology Congress, 2024

  • 🌟 APJ Abdul Kalam Award 2025 – For outstanding professional and research achievements

🌍 IMPACT AND INFLUENCE

Dr. Biswas’s work has made a tangible impact in environmental bioremediation, organic farming, and public health through probiotics. Her research in metabiotics offers a future alternative to conventional antibiotics, aligning with global trends in microbiome-based therapies. She is recognized for advancing the field through both experimental and computational biology, promoting data-driven, sustainable solutions to real-world problems.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Ishita Biswas is paving the way for next-generation research in sustainable bioresource utilization, metagenomics, and microbiome-health linkage. Her vision incorporates green technologies, natural product chemistry, and data-driven biology. Her commitment to academic mentoring and institutional service ensures that she contributes to building a strong foundation for future scholars in both Botany and Applied Microbiology.

 ✅CONCLUSION

Dr. Ishita Biswas exemplifies a new-age scientist who seamlessly integrates traditional botanical knowledge with modern microbiological tools. Her journey from academic brilliance to impactful research and administration highlights her as a distinguished academician, research innovator, and a community-focused educator. She is a role model for aspiring scientists, especially women in STEM.

🔬NOTABLE PUBLICATION:

Comparative Study on Tannase Sequence and Structure of Lactiplantibacillus: An In Silico Protein Variability Analysis and Its …
Author(s): I. Biswas, D. Mitra, P.K. Das Mohapatra
Journal: Applied Biotechnology and Bioinformatics: Agriculture, Pharmaceutical …
Year: 2024

In-silico Comparative Sequence and Structure Analysis of Fungal Tannase for Industrial Suitability: An Environment Friendly Enzyme Technology
Author(s): D. Mitra, I. Biswas, P. Das Mohapatra
Journal: Green Technologies for Environmental Management, Volume 1, Pages 273–286
Year: 2023

Mechanistic Approach in Remedy of Diabetes Through Plant Bioactive Polyphenolic Compounds: An Insilico Study for Modern Drug Discovery
Author(s): I. Biswas, D. Mitra, P.K. Das Mohapatra, M. Abdalla
Journal: Journal of Proteins and Proteomics, Pages 1–24
Year: 2025

Characterization and Toxicity Assessment of Metabiotic Produced Through Natural Tannin Fermentation by Newly Isolated Probiotic Lactiplantibacillus plantarum PKI15 and Study of …
Author(s): I. Biswas, D. Mitra, C. Mallik, P.K.D. Mohapatra
Journal: Microbial Pathogenesis, Article No. 107815
Year: 2025

An In Silico Approach for Comparative Characterization of Imidazolonepropionase from Agrobacterium fabrum & Bacillus subtilis: An Imperative Enzyme for Histidine Degradation
Author(s): I. Biswas, T. Biswas, D. Mitra
Journal: Biology and Life Sciences Forum, Volume 41(1), Page 3
Year: 2025

Hema Mayavan | Engineering | Best Researcher Award

Dr. Hema Mayavan | Engineering | Best Researcher Award

Easwari Engineering college, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Dr. M. Hema has built a strong academic foundation rooted in the core of Information Technology and Embedded Systems. She graduated with a B.Tech in Information Technology from Tagore Engineering College, Chennai in 2003, followed by an M.E in Embedded System Technologies from the prestigious College of Engineering, Guindy (Anna University), Chennai in 2009. Her passion for research led her to earn a Ph.D. in Cloud Computing from Anna University, Chennai in 2023, laying the groundwork for impactful contributions in data-driven technologies and intelligent systems.

🏢 PROFESSIONAL ENDEAVORS

With a rich teaching experience of over 20 years, Dr. Hema has consistently nurtured and mentored future engineers. She began her career as a Lecturer at Adhiparasakthi Engineering College and Vels Srinivasa College of Engineering. Since 2007, she has been serving as Assistant Professor (Senior Grade) at Easwari Engineering College, demonstrating unwavering dedication and academic leadership. Her pedagogical approach blends theoretical concepts with practical implementation, equipping students with industry-relevant skills.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Hema’s research specialization is centered around Cloud Computing, Artificial Intelligence, and Embedded Systems. Her scholarly interests include scalable computing solutions, smart automation, and advanced microprocessor applications. She has actively participated in and conducted numerous workshops and FDPs, emphasizing emerging areas such as Big Data Analytics, Microsoft Azure, Software Testing, and Wireless Networks.

She has also organized and coordinated several AICTE and Anna University-sponsored programs, ensuring capacity building and knowledge dissemination in futuristic engineering domains.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Dr. Hema has completed several NPTEL certifications, adding credibility to her teaching and research competencies. Courses include Cloud Computing, Operating Systems, AI, Machine Learning, and Introduction to Research, demonstrating her commitment to continuous learning. She is a respected member of multiple professional bodies, such as:

  • ISTE (Lifetime Member)

  • IET

  • IAENG

  • UACEE

🌍 IMPACT AND INFLUENCE

Dr. Hema’s contributions have significantly influenced the technical education ecosystem, especially in Tamil Nadu. She has played a crucial role in upskilling faculty and students by curating hands-on programs, seminars, and technical training events. Her involvement in Faculty Development Programs (FDPs) and Spoken Tutorial collaborations has further strengthened interdisciplinary learning and technological adaptability among engineering aspirants.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Hema envisions a future where Cloud and AI-based systems transform everyday engineering applications. Her upcoming contributions are expected to expand in the direction of smart cloud architectures, ethical AI implementation, and sustainable technology integration in embedded systems. As a mentor and guide, her legacy lies in building future-ready engineers who will address pressing technological and societal challenges with innovation and responsibility.

 ✅CONCLUSION

Dr. M. Hema stands as a dynamic educator, accomplished researcher, and proactive academic leader. Her two-decade-long journey reflects her academic excellence, research versatility, and institutional impact. With her forward-looking mindset, she continues to bridge the gap between theory and practice in engineering education and innovation.

🔬NOTABLE PUBLICATION:

An integrated energy storage framework with significant energy management and absorption mechanism for machine learning assisted electric vehicle application
Author(s): Hema, M. et al.
Journal: Sustainable Computing: Informatics and Systems
Year: 2024

Prediction Based Load Balancing in Cloud Computing Using Conservative Q-Learning Algorithm
Author(s): Hema, M. et al.
Journal: Communications in Computer and Information Science
Year: 2024

A Quantitative Approach to Minimize Energy Consumption in Cloud Data Centres using VM Consolidation Algorithm
Author(s): M. Hema, S. Kanaga Suba Raja
Journal: KSII Transactions on Internet and Information Systems
Year: 2023

An Efficient Framework for Utilizing Under Loaded Servers in Compute Cloud
Author(s): M. Hema, S. Kanaga Suba Raja
Journal: Computer Systems Science and Engineering
Year: 2022

 An Optimal Algorithm to Improve Resource Utilization in Cloud Data Centre
Author(s): S. Kanaga Suba Raja, M. Hema
Journal: International Journal of Engineering and Advanced Technology (IJEAT)
Year: 2019