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.

Safaa Najah Saud Al-Humairi | Materials Science | Best Researcher Award

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Assoc. Prof. Dr. Safaa Najah Saud Al-Humairi | Materials Science | Best Researcher Award

Deputy Dean at Management and Science University, Malaysia📖

Dr. Safaa Najah Saud Al-Humairi is an Associate Professor and Deputy Dean for Research, Internationalization, and Industry at Management and Science University, Malaysia. With a strong background in mechanical engineering, he specializes in shape memory alloys (SMAs), material science, and advanced manufacturing techniques. Dr. Al-Humairi’s academic journey includes a Ph.D. from Universiti Teknologi Malaysia (UTM), where he researched the influence of alloying elements and aging treatments on the phase transformation of Cu-Al-Ni SMAs. His work bridges fundamental research and applied engineering solutions across various industries.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

1. Ph.D. in Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Malaysia (2011-2014)

  • GPA: B1, University PRO-Chancellor Award
  • Research Focus: Influence of alloying elements and aging treatment on Cu-Al-Ni SMAs phase transformation and shape memory behavior.

2. Master of Technology, University of Hyderabad (UOH), India (2008-2010)

  • GPA: First Division with Distinction (8.34%)
  • Research Focus: Abrasion resistance of hard-facing materials for rotary mining bits.

3. Bachelor of Science in Materials Engineering, University of Babylon, Iraq (2003-2006)

  • GPA: First Division with Distinction (66.43%)

Professional Experience🌱

  • Deputy Dean, Research, Internationalization, and Industry, Management and Science University, Malaysia (Dec 2024 – Present)
  • Associate Professor, Management and Science University, Malaysia (May 2022 – Present)
  • Postgraduate Coordinator, Management and Science University, Malaysia (June 2019 – Present)
  • Research Coordinator, Management and Science University, Malaysia (May 2016 – Present)
  • Postdoctoral Research Fellow, Universiti Teknologi Malaysia, Malaysia (Oct 2014 – Feb 2016)
  • Teacher Assistant, Universiti Teknologi Malaysia, Malaysia (Feb 2012 – Feb 2014)
  • Lecturer, University of Babylon, Iraq (Sept 2009 – Sept 2011)
  • Senior Engineer, Building and Reconstruction Center, Babylon Province, Iraq (Sept 2009 – Sept 2011)
  • Research Fellow, Sandvik Asia, Hyderabad, India (July 2009 – July 2010)
  • Engineer, Building and Reconstruction Center, Babylon Province, Iraq (Sept 2006 – April 2008)
Research Interests🔬

Dr. Al-Humairi’s primary research interests include Ni-Ti/Ta/Nb and Cu-based shape memory alloys (SMAs), Mg alloys (bulk & nano size), and various advanced manufacturing and processing techniques. His work covers a wide range of topics including:

  • Manufacturing: Casting, Powder Metallurgy, Additive Manufacturing
  • Processing: Shape Memory Effect, Pseudoplasticity, Tribology, Welding, Bioactivity, Corrosion
  • Materials Characterization: SEM, AFM, TEM, XRD, DSC
  • Secondary Focus: Robotics, Thermodynamics (Phase Change Materials), Heat Transfer, Green Technology, 3D Mechanical Design

Author Metrics

Dr. Al-Humairi has contributed significantly to material science research and has published numerous papers on shape memory alloys and materials characterization. His work is widely recognized in the field, particularly for advancements in the performance and processing of advanced materials for industrial applications.

Awards & Honors

  • University PRO-Chancellor Award for his Ph.D. work at Universiti Teknologi Malaysia
  • Several internal academic and research awards at Management and Science University for outstanding contributions in research and education
  • Recognized for exceptional performance in research coordination and postgraduate development at MSU Malaysia.
Publications Top Notes 📄

1. Overview of phase change materials for construction architecture thermal management in hot and dry climate region

  • Authors: MA Wahid, SE Hosseini, HM Hussen, HJ Akeiber, SN Saud, …
  • Journal: Applied Thermal Engineering
  • Volume: 112
  • Pages: 1240-1259
  • Year: 2017
  • DOI/Link: Applied Thermal Engineering, 2017

2. Influence of Ti additions on the martensitic phase transformation and mechanical properties of Cu–Al–Ni shape memory alloys

3. Effects of Mn Additions on the Structure, Mechanical Properties, and Corrosion Behavior of Cu-Al-Ni Shape Memory Alloys

4. Structure, corrosion behavior, and antibacterial properties of nano-silica/graphene oxide coating on biodegradable magnesium alloy for biomedical applications

  • Authors: HR Bakhsheshi-Rad, E Hamzah, M Kasiri-Asgarani, SN Saud, …
  • Journal: Vacuum
  • Volume: 131
  • Pages: 106-110
  • Year: 2016
  • DOI/Link: Vacuum, 2016

5. Correlation of microstructural and corrosion characteristics of quaternary shape memory alloys Cu–Al–Ni–X (X = Mn or Ti)

Conclusion

Dr. Safaa Najah Saud Al-Humairi is undoubtedly a deserving candidate for the Best Researcher Award in the field of Materials Science. His pioneering work on shape memory alloys and advanced manufacturing techniques is innovative, practical, and impactful. His leadership in research at Management and Science University, along with his extensive publication record, places him among the top researchers in his field. While there are areas for growth, such as increasing interdisciplinary collaboration and public engagement, his strengths far outweigh the opportunities for improvement. His continued contributions to materials science will no doubt have a lasting effect on the field and various industries that rely on advanced materials. Therefore, Dr. Al-Humairi stands out as a top candidate for the Best Researcher Award, and his future in materials science research is exceedingly promising.