Jingyu Ma | Innovative Research Award | Engineering

Innovative Research Award

Jingyu Ma
Liaoning Technical University

Jingyu Ma
Affiliation Liaoning Technical University
Country China
Scopus ID 59002118300
Documents 7
Citations 5
h-index 2
Subject Area Jingyu Ma | Innovative Research Award | Engineering
Event International Research Awards on Network Science & Graph Analytics
ORCID 0009-0001-8971-9040

Jingyu Ma The available bibliometric information records 7 documents, 5 citations, and an h-index of 2. These indicators provide a limited quantitative description of indexed scholarly output and should be interpreted alongside publication quality, research relevance, methodological contribution, collaboration, and broader academic influence. [1]

Abstract

Jingyu Ma is an Engineering researcher affiliated with Liaoning Technical University in China. The available scholarly profile records seven indexed documents, five citations, and an h-index of two. Within the context of the Innovative Research Award, these indicators provide a starting point for evaluating research productivity and scholarly visibility. The assessment of an academic recognition should also consider the originality of research questions, methodological rigor, relevance to engineering challenges, publication quality, and potential contribution to future research.

Keywords

Jingyu Ma, Innovative Research Award, Engineering Research, Liaoning Technical University, Research Innovation, Scholarly Publications, Research Impact, Network Science, Graph Analytics, Academic Recognition.

Introduction

Academic awards provide a mechanism for recognizing research activities that demonstrate originality, relevance, and scholarly value. In contemporary engineering research, innovation may involve the development of new methodologies, improved computational approaches, engineering applications, or interdisciplinary connections. Bibliometric databases such as Scopus provide structured information that can assist in documenting scholarly output and citation activity, although quantitative indicators are not by themselves sufficient to establish research quality. [1]

The Innovative Research Award associated with the International Research Awards on Network Science & Graph Analytics provides a recognition framework in which an individual’s research record can be considered in relation to innovation, scholarly productivity, and potential contribution to the wider research community.

Research Profile

Jingyu Ma is affiliated with Liaoning Technical University, China, and is identified in the supplied academic profile under the subject area of Engineering. The reported Scopus author identifier is 59002118300. The indexed record contains seven documents, with five citations and an h-index of two. [1] These data indicate an established, although comparatively focused, indexed publication record.

A research profile is most appropriately understood through a combination of quantitative and qualitative evidence. Publication count and citation indicators can describe aspects of scholarly visibility, while research originality, reproducibility, collaboration, technical depth, and practical relevance provide additional dimensions for academic evaluation.

Research Contributions

Based on the supplied profile information, Jingyu Ma’s principal disciplinary classification is Engineering. The available information does not provide sufficient evidence to attribute specific individual methodologies, inventions, or technical findings beyond this classification. Accordingly, research contributions should be evaluated from verified publications and supporting scholarly records rather than inferred from bibliometric indicators alone.

  • Engineering-oriented scholarly research represented through indexed academic publications.
  • A documented publication record comprising seven Scopus-indexed documents.
  • Evidence of scholarly visibility represented by five recorded citations.
  • An h-index of two within the supplied Scopus profile.

Publications

The supplied information establishes a total of seven indexed documents but does not provide verified titles, journals, publication years, authorship order, or DOI identifiers for those works. For accuracy, individual publication titles and DOI information should therefore be taken directly from the researcher’s authoritative publication records rather than reconstructed from incomplete bibliographic information. Scopus provides a structured platform for reviewing author-indexed publication records. [1]

For research evaluation, DOI metadata can be particularly useful because persistent DOI identifiers facilitate reliable identification and linking of scholarly articles. [2]

Research Impact

The reported five citations and h-index of two provide measurable evidence of scholarly uptake within the indexed record. [1] However, citation-based indicators can vary substantially by discipline, publication age, database coverage, and research community. A balanced assessment should therefore consider both bibliometric measures and qualitative evidence such as methodological originality, relevance to engineering practice, collaboration, knowledge transfer, and subsequent research use.

Award Suitability

Jingyu Ma’s profile is suitable for consideration under an Innovative Research Award framework because the supplied record documents active scholarly output in Engineering and measurable citation activity. The seven indexed documents demonstrate a continuing publication presence, while the citation count and h-index provide additional evidence of academic visibility. [1]

Final award assessment should nevertheless be based on the complete nomination dossier, including verified publications, research statements, evidence of originality, documented outcomes, collaboration, and other materials required by the awarding organization. Bibliometric indicators should be treated as supporting evidence rather than as the sole basis for recognition.

Conclusion

Jingyu Ma is an Engineering researcher at Liaoning Technical University with a documented Scopus profile comprising seven documents, five citations, and an h-index of two. The available record supports recognition of an emerging scholarly contribution while emphasizing the importance of evaluating innovation through verified research outputs and qualitative evidence.

References

1.Elsevier. (n.d.). Scopus author details: Jingyu Ma, Author ID 59002118300. Scopus.https://www.scopus.com/pages/authors/59002118300

2.Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46),16569–16572.https://doi.org/10.1073/pnas.0507655102

Sastry Jammalamadaka | Engineering | Excellence in Research Award

Prof. Sastry Jammalamadaka | Engineering | Excellence in Research Award

Adjunct Professor at KLEF University, India

Dr. Jammalamadaka Kodanda Rama Sastry, a distinguished academician and technocrat, boasts over 48 years of rich experience spanning academia, research, and industry. He is currently a Professor and Advisor (Quality) at KL University, India, with a career marked by leadership roles in major corporations across the USA, Canada, Europe, and India. A multi-disciplinary scholar, Dr. Sastry holds two PhDs—in Management and Computer Science & Engineering—and has significantly contributed to the fields of Embedded Systems, Artificial Intelligence, Cloud Computing, and Software Engineering.

🔹Professional Profile:

Scopus Profile

Orcid Profile

Googl Scholar Profile

🎓Education Background

  • Ph.D. (Computer Science & Engineering) – JNTU Hyderabad, 2014

  • Ph.D. (Management) – Andhra University, 2005

  • M.E. (Control Engineering) – Andhra University, 1977 – Gold Medalist

  • M.B.A. (Finance) – Andhra University, 1989 – Gold Medalist

  • M.Sc. (Applied Statistics) – Andhra University, 1977

  • B.E. (Electrical Engineering) – Andhra University, 1974

  • Additional Diplomas in Russian Language, COBOL, Project Management, Private Sector Management, etc.

💼 Professional Development

Dr. Sastry brings a rare blend of academic and industrial expertise. He has over 23 years in academia including leadership roles such as Principal, Vice Principal, Director, Dean (R&D, P&D), and Advisor at premier institutions like KL University. His 25+ years in industry include pivotal roles such as Vice President and CEO/CTO in US-based tech firms, and senior engineering roles in global companies like Fertilizer India Ltd., L&T, and Dredging Corporation of India. His global assignments have spanned Canada, Russia, Netherlands, UK, South Africa, and the USA.

🔬Research Focus

  • Embedded Systems

  • Data Science and Cloud Computing

  • Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL)

  • Internet of Things (IoT), Wireless Communication

  • Software Engineering and Cybersecurity

  • Web Technologies and Cognitive Systems

  • Graph Theory and Distributed Systems

📈Author Metrics:

  • Total Publications: 304

    • Journals: 275 (269 International)

    • Conferences: 29 (22 International)

  • Indexed Papers:

    • SCOPUS: 151

    • SCI: 25

    • Other Indexed: 128

  • PhD Scholars Guided: 18 awarded, 6 ongoing

  • Sponsored Projects: Over ₹184 Lakhs funded by DST and CSI

Awards & Honors

  • Best Teacher at KL University for eight consecutive years (2007–2014)

  • Chair of multiple international conferences (India, South Korea)

  • Editor-in-Chief and Executive Editor of reputed international journals

  • Gold Medalist in both MBA and ME degrees

  • Multiple Best Paper Awards from institutions like Institution of Engineers (India), Silicon Valley Publishers, and Ada Love Lace Publishers

  • Best Researcher Award, Global Society for Sensors, 2024

  • Member of various academic, research, and accreditation boards at KL University

  • Directed development of institutional ERP systems, NIRF rankings, and ISO certification processes

Research Skills

  • Embedded Systems: Design, testing, side-channel security, and distributed systems.

  • AI/ML/DL: Fault tolerance, cognitive modeling, and deep learning applications.

  • IoT & Edge Computing: Network optimization, fault tolerance, and security.

  • Cloud Computing: Migration strategies, resource optimization, and cloud security.

  • Software Engineering: Cleanroom methods, software similarity, and secure development.

  • Cybersecurity: Data privacy in cloud/edge systems and secure healthcare data handling.

  • Data Science: Mining, warehousing, analytics, and financial data systems.

  • Wireless & Signal Processing: Channel modeling, estimation, and 5G testing.

  • Graph Theory & Cognitive Systems: Smart network modeling and system intelligence.

  • Research Infrastructure: Lab setup, academic systems, metrics, and policy frameworks.

📝Publication Top Notes

📘 1. Using Learning and Cognitive Models for Assessing Quality of Content Hosted into Websites
  • Authors: SKR Jammalamadaka, ST Shaik, HB Duddempudi, K Sana, ...

  • Journal: Advances in Differential Equations and Control Processes

  • Volume/Issue: 32 (2)

  • Pages: 2343–2343

  • Year: 2025

  • Summary:
    This paper proposes a novel approach using learning and cognitive models to evaluate the quality of web content. The methodology integrates AI-based assessment tools and cognitive computing principles to analyze user interaction, relevance, and structural quality of online content, enabling objective, automated quality grading for web platforms.

📗 2. Making IoT Networks Highly Fault-Tolerant Through Power Fault Prediction, Isolation and Composite Networking in the Device Layer
  • Authors: KRS Jammalamadaka, B Chokara, SB Jammalamadaka, BK Duvvuri

  • Journal: Journal of Sensor & Actuator Networks

  • Volume/Issue: 14 (2)

  • Year: 2025

  • Summary:
    This work introduces a device-layer fault prediction and isolation mechanism for IoT networks. By integrating predictive analytics and composite networking strategies, the model proactively identifies and mitigates power-related faults, significantly enhancing the fault-tolerance and reliability of IoT environments.

📙 3. Finding Negative Associations from Medical Data Streams Based on Frequent and Regular Patterns
  • Authors: SKR Jammalamadaka, RR Budaraju

  • Journal: Contemporary Mathematics

  • Pages: 1434–1454

  • Year: 2025

  • Summary:
    This paper focuses on mining negative association rules from continuous medical data streams. Using frequent and regular pattern mining techniques, the study reveals hidden, inverse relationships between symptoms, treatments, and outcomes—valuable for predictive diagnostics and clinical decision-making.

📕 4. Crowd Distance Induced Multi-Objective Binary Salp Swarm Optimization Algorithm for Mining High-Frequency and Utility Itemsets
  • Authors: RR Budaraju, SKR Jammalamadaka

  • Journal: SN Computer Science

  • Volume/Issue: 6 (2)

  • Article ID: 163

  • Year: 2025

  • Summary:
    This research proposes a modified binary salp swarm optimization algorithm incorporating crowd distance for multi-objective utility-based data mining. The method is optimized for identifying high-utility and high-frequency itemsets from large datasets, with applications in e-commerce, market analysis, and recommendation systems.

📒 5. Networking Microcontrollers and Balancing the Load on the Service Servers to Enhance the Fault Tolerance of the IoT Networks
  • Authors: SKR Jammalamadaka, B Chokra, SB Jammalamadaka, BK Duvvuri

  • Journal: Mathematics (ISSN: 2227-7390)

  • Volume/Issue: 12 (23)

  • Year: 2024

  • Summary:
    The study introduces a technique for balancing service loads across microcontroller-based IoT systems. By effectively networking microcontrollers and redistributing service loads, the proposed model minimizes the risk of single points of failure and enhances network robustness and scalability.

.Conclusion:

Prof. Dr. JKR Sastry stands out as a highly deserving candidate for the Excellence in Research Award. His prolific publication record, interdisciplinary expertise, global experience, commitment to research mentorship, and contributions to national research infrastructure make him an exemplar of academic excellence in engineering.