Sastry Jammalamadaka | Engineering | Excellence in Research Award

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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.