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/

Priyanka Dhaka | Computer Science | Best Researcher Award

Dr. Priyanka Dhaka | Computer Science | Best Researcher Award

Maharaja Surajmal Institute | India

Dr. Priyanka Dhaka is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at Maharaja Surajmal Institute. With strong expertise in software development, data analytics, machine learning, and big data technologies, she has made significant contributions to healthcare, cybercrime investigation, and IoT-based predictive modeling. Her work encompasses both theoretical and applied research, resulting in publications in reputed journals and conferences. She is also a patent holder and has been actively involved in innovative projects. Dr. Dhaka is dedicated to advancing technology through impactful teaching, research, and development in emerging computing fields.

Professional Profile

Google Scholar

Education

Dr. Priyanka Dhaka holds a Ph.D. in Computer Science and Engineering, supported by prior academic qualifications in M.Tech in Information Technology and B.Tech in Computer Science and Engineering. Her education has provided a solid foundation in programming, data analysis, software development, and machine learning. She has also undertaken specialized certifications in advanced technologies, including MATLAB for machine learning. Her academic journey reflects a consistent focus on emerging computing domains, enabling her to develop advanced problem-solving capabilities. The blend of her technical education and research-oriented mindset equips her to contribute effectively to both academia and the software industry.

Professional Experience

Dr. Priyanka Dhaka has served as an Assistant Professor at reputed academic institutions, including Maharaja Surajmal Institute and Maharaja Surajmal Institute of Technology, where she has contributed to teaching, research, and curriculum development. Her professional journey includes delivering guest lectures, coordinating academic events, and mentoring students in technical projects. She has also been involved in industry-oriented training, applying her expertise in programming, big data analytics, and software engineering. In addition to academia, she has practical experience in developing software solutions, handling data-driven projects, and collaborating with multidisciplinary teams to address real-world technological challenges.

Awards and Recognition

Dr. Priyanka Dhaka has been recognized for her academic and research contributions through publications in reputed international journals and IEEE-sponsored conferences. She holds a granted patent for an innovative Braille display device, highlighting her commitment to impactful technological solutions. She has participated in and coordinated various academic and technical events, earning recognition for her contributions. Additionally, she has been a runner-up in a software development competition and invited to deliver expert lectures on big data analytics. Her involvement in workshops on advanced computing fields further reflects her continuous pursuit of professional excellence and contribution to the academic community.

Research Skills

Dr. Priyanka Dhaka possesses extensive research expertise in machine learning, deep learning, big data analytics, and IoT-based healthcare applications. Her work has addressed critical areas such as heart disease prediction, healthcare data management, and cybercrime investigation through innovative computational models. She is proficient in data handling using tools like Hadoop, MongoDB, and advanced programming languages. Her research outcomes include multiple high-quality publications, book chapters, and collaborative projects with interdisciplinary teams. She applies analytical and experimental approaches to develop intelligent systems, integrating domain knowledge with modern computational techniques to solve real-world problems effectively and efficiently.

Notable Publications

Big data application: Study and archival of mental health data, using MongoDB
Author: P Dhaka, R Johari
Journal: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
Year: 2016
Citations: 24

WoM-based deep BiLSTM: smart disease prediction model using WoM-based deep BiLSTM classifier
Author: P Dhaka, B Nagpal
Journal: Multimedia Tools and Applications 82 (16), 25061-25082
Year: 2023
Citations: 23

CRIB: Cyber crime investigation, data archival and analysis using big data tool
Author: P Dhaka, R Johari
Journal: 2016 International Conference on Computing, Communication and Automation (ICCCA)
Year: 2016
Citations: 14

HCAB: HealthCare analysis and data archival using big data tool
Author: P Dhaka, R Johari
Journal: 2016 1st India International Conference on Information Processing (IICIP), 1-6
Year: 2016
Citations: 8

An Innovative Approach to Cardiovascular Disease Prediction: A Hybrid Deep Learning Model
Author: P Dhaka, R Sehrawat, P Bhutani
Journal: Engineering, Technology & Applied Science Research 13 (6), 12396-12403
Year: 2023
Citations: 6

Adaptive Ensembled Fusion Based Deep CNN-Bilstm Model For Heart Disease Prediction In IoT
Author: P Dhaka, R Sehrawat
Journal: Fusion: Practice & Applications 14 (1)
Year: 2024
Citations: 2

Conclusion

Dr. Priyanka Dhaka stands out as a dedicated educator, skilled researcher, and technology innovator. Her academic qualifications, teaching experience, and research contributions reflect a deep commitment to advancing computer science and engineering. She bridges the gap between theory and practice through her involvement in cutting-edge projects, impactful publications, and industry-relevant training. With expertise spanning programming, big data, AI, and IoT, she continues to inspire students and contribute to technological innovation. Her career demonstrates a strong balance between academic excellence and practical application, positioning her as a valuable contributor to the advancement of modern computing solutions.