Madhan Kumar Anbazhagan | Material Science | Best Researcher Award

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Dr. Madhan Kumar Anbazhagan | Material Science | Best Researcher Award

Dr. Madhan Kumar Anbazhagan, Saveetha Engineering College, India

Dr. A. Madhan Kumar is an accomplished Assistant Professor in the Department of Mechanical Engineering at Saveetha Engineering College, Chennai. With over 11 years of teaching and nearly 6 years in industry, his expertise spans composite materials, machining studies, and mechanical characterization. His academic journey includes a Ph.D. from Anna University, focusing on manufacturing engineering. Dr. Kumar has contributed significantly to research, with publications in reputed journals and collaborations on international projects. His work aligns with global sustainable development goals, emphasizing innovation in material science. Recognized for his contributions, he has received accolades such as the "Distinction in Corrosion Research Award" at CORCON-2024. Dr. Kumar continues to inspire through his dedication to research and education in material science.​

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Suitability for the Research for Best Researcher Award: Dr. A. Madhan Kumar

Dr. A. Madhan Kumar exemplifies the qualities of an outstanding researcher, making him a strong contender for the Research for Best Researcher Award. His academic journey and professional trajectory illustrate a dedicated pursuit of excellence in both theoretical and applied research.

Dr. Kumar’s educational foundation is robust, having earned a Ph.D. (Part-Time) from Anna University in 2022, along with a Master’s and Bachelor’s in Mechanical Engineering, both from Anna University, reflecting his solid academic credentials. His career spans a variety of roles, with a current position as an Assistant Professor at Saveetha Engineering College, Chennai, and significant prior experience at prestigious institutions like Anna University, MIT Campus, and New Prince Shri Bhavani College of Engineering & Technology. Notably, his experience also extends to industry, with over five years as a Senior Project Engineer at Larsen & Toubro Ltd., where he contributed to high-profile projects in structural fabrication, material inspection, and welding, reinforcing his practical expertise.

🎓 Education (150 words)

Dr. A. Madhan Kumar's academic foundation is rooted in mechanical and manufacturing engineering. He earned his Ph.D. in Mechanical Engineering from Anna University in 2022, specializing in manufacturing processes. Prior to this, he completed his M.E. in Manufacturing Engineering from E.G.S. Pillay Engineering College, Nagapattinam, in 2013, achieving first-class distinction. His undergraduate studies culminated in a B.E. in Mechanical Engineering from the same institution in 2006. Dr. Kumar's early technical education includes a Diploma in Mechanical Engineering from Valivalam Desikar Polytechnic College, completed in 2003. His educational journey reflects a consistent focus on engineering disciplines, laying a robust groundwork for his subsequent research and professional endeavors in material science.​

 💼 Professional Experience 

Dr. A. Madhan Kumar brings a rich blend of academic and industrial experience. Currently, he serves as an Assistant Professor at Saveetha Engineering College, Chennai. His academic tenure includes roles as a Teaching Fellow at Anna University, MIT Campus, and Assistant Professor positions at New Prince Shri Bhavani College of Engineering & Technology and Chennai Institute of Technology. In the industry, Dr. Kumar contributed as a Senior Project Engineer at Larsen & Toubro Ltd., ECC Division, where he was involved in power plant erection projects. His responsibilities encompassed structural fabrication, welding inspections, and adherence to ASME codes. This diverse experience has equipped him with practical insights and a comprehensive understanding of engineering applications, enriching his teaching and research in material science.​

🏅 Awards and Recognition 

Dr. A. Madhan Kumar's contributions to material science have been acknowledged through various awards. Notably, he received the "Distinction in Corrosion Research Award" at CORCON-2024, recognizing his work in corrosion-resistant materials. His research excellence is further evidenced by publications in high-impact journals and collaborations on international projects. Dr. Kumar's dedication to advancing material science has positioned him as a respected figure in the academic community. His accolades reflect a commitment to innovation and excellence in research.​LinkedIn

🌍  Research Skills On Material Science

Dr. A. Madhan Kumar's research expertise encompasses composite materials, machining studies, and mechanical characterization. He has conducted extensive studies on biodegradable composites, drilling processes, and the development of corrosion-resistant materials. His work often integrates experimental investigations with analytical modeling, contributing to advancements in material performance and sustainability. Dr. Kumar's research aligns with global efforts towards responsible consumption and production, as well as industry innovation. His collaborations with international institutions and participation in multidisciplinary projects underscore his commitment to addressing complex challenges in material science. Through his research, Dr. Kumar continues to contribute valuable insights into the development of advanced materials and manufacturing processes.

 Publication Top Notes

1. Drilling studies on Particle Board composite using HSS twist drill and spade drill

  • Authors: D.K.J.A. Madhan Kumar

  • Citation: Materials Today: Proceedings, Volume 5, Issue 8, Pages 16346–16351

  • Citations: 32

  • Year: 2018

2. Crushing behavior optimization of octagonal lattice-structured thin-walled 3D printed carbon fiber reinforced PETG (CF/PETG) composite tubes under axial loading

  • Authors: M.K.A. Narain Kumar Sivakumar, Sabarinathan Palaniyappan, Kumar Vishal, Khuloud Alaboodi, et al.

  • Citation: Journal of Polymer Composites

  • Citations: 14

  • Year: 2023

3. Mechanical and drilling characterization of biodegradable PLA particulate green composites

  • Authors: D.K.J.A. Madhan Kumar

  • Citation: Journal of the Chinese Institute of Engineers, Volume 45, Issue 3, Pages 1–16

  • Citations: 12

  • Year: 2022

4. A feasibility study of various joining techniques for three-dimensional printed polylactic acid and wood-reinforced polylactic acid biocomposite

  • Authors: M.R. Sabarinathan Palaniyappan, Narain Kumar Sivakumar, Mahdi Bodaghi, et al.

  • Citation: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

  • Citations: 9

  • Year: 2023

5. Enhancing the Performance of Polylactic Acid (PLA) Reinforcing with Sawdust, Rice Husk, and Bagasse Particles

  • Authors: K.J.A.N.D.M.S. A. Madhan Kumar

  • Citation: Journal of Polymer Materials - An International Journal, Volume 39, Issues 3–4, Pages 269–281

  • Citations: 6

  • Year: 2023

6. Investigation of Drilling Time in SS304 (Austenitic Stainless Steel) with Different Cutting Environments

  • Authors: K.D. A. Madhan Kumar, L. Rajkumar

  • Citation: International Journal of Emerging Technology in Computer Science and Electronics

  • Citations: 2

  • Year: 2016

7. Development of Biocomposite Food Packaging Coating Material with Silane‐treated Nanosilica and Grape Seed Oil Blended Vinyl Ester

  • Authors: B.R. Mallapuram Bala Chennaiah, S.A. Muhammed Abraar, M. Arun, T. Suresh, et al.

  • Citation: Silicon Journal, Pages 1–13

  • Citations: 1

  • Year: 2024

8. Enhanced Urban Environmental Monitoring Networks: AI-Driven Predictive Analytics for Pollution Hotspot Identification

  • Authors: A.M.K. Kotteeswaran, C. S. Sheeba Rani, Raenu Kolandaisamy, Arun Suresh, et al.

  • Citation: Journal of Environmental Protection and Ecology, Volume 25, Issue 8, Pages 2606–2617

  • Citations: Not available (newly published)

  • Year: 2025

9. An Analysis of Machine Learning Tools and Algorithms

  • Author: A. Madhan Kumar

  • Citation: Advances in Artificial Intelligence and Machine Learning in Big Data Environments

  • Citations: Not available

  • Year: 2024

Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

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Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

Dr. Jagannadha Rao D B, Malla Reddy University, India

Dr. D. B. Jagannadha Rao is a dedicated academician and researcher in Computer Science and Engineering with over 15 years of experience. Currently serving as an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, he is deeply involved in fostering research and academic excellence. Dr. Rao’s Ph.D. in Graph Mining focused on developing innovative methods for frequent subgraph mining from distributed databases using MapReduce, contributing significantly to advancements in big data analysis. His career reflects a balance of academic leadership, research supervision, and curriculum development, as he has organized international conferences and shaped postgraduate programs. A recognized Ph.D. mentor, he has actively participated in building a vibrant research community. His professional memberships and administrative roles underline his commitment to advancing computational research and education.

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Summary of Suitability for the Award

Dr. D. B. Jagannadha Rao stands out as a highly qualified and accomplished academic in the field of Computer Science and Engineering. With a strong academic foundation, including a Ph.D. in Graph Mining from Shri Jagdishprasad Jhabarmal Tibrewala University, Dr. Rao has demonstrated substantial expertise in frequent subgraph mining and large-scale data analysis using advanced computational techniques like MapReduce. His research contributes to the understanding and application of distributed database systems, a critical area in data science and big data analytics.

🎓 Education 

Dr. D. B. Jagannadha Rao holds a Ph.D. in Computer Science and Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, specializing in Graph Mining. His doctoral research, completed in 2021, addressed frequent subgraph mining from horizontally partitioned distributed databases using MapReduce, demonstrating advanced skills in handling large-scale data. He earned an M.Tech in Computer Science from JNTU Hyderabad in 2008, graduating with distinction, and a Master of Computer Applications from Osmania University in 2002. His foundational studies in science culminated in a B.Sc. in Mathematics, Physics, and Chemistry from Andhra University in 1998. This educational journey reflects a strong emphasis on both theoretical and applied computer science, preparing him for impactful research in data science and big data analysis.

💼   Professional Experience

Dr. D. B. Jagannadha Rao’s professional experience spans over 15 years, showcasing a comprehensive background in teaching and research. He is currently an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, where he has played a pivotal role in shaping the M.Tech curriculum and overseeing Ph.D. research programs. Previously, he was an Assistant Professor at Wolkite University, Ethiopia, and served as Associate Professor at Sreenidhi Institute of Science and Technology, Hyderabad, where he managed key academic and administrative responsibilities. He began his career as a lecturer at St. Xavier’s P.G. College and Sravanthi P.G. College in Hyderabad. His roles have involved curriculum design, conference coordination, and departmental leadership, demonstrating his capability to contribute significantly to academic and research excellence.

🏅  Awards and Recognition

Dr. D. B. Jagannadha Rao has been recognized for his academic and research contributions. As the Ph.D. Coordinator and R&D Coordinator at Malla Reddy University, he has made impactful contributions to the university’s research ecosystem. He has successfully coordinated prestigious international conferences, such as the 2nd and 3rd International Conferences on Intelligent Systems & Sustainable Computing, organized in collaboration with Springer. Additionally, he has been acknowledged as a research supervisor at Visvesvaraya Technological University and Malla Reddy University, mentoring numerous doctoral students. His active membership in esteemed organizations, including the Computer Society of India (Life Member) and the Computer Science Teachers Association, highlights his professional stature. His academic and research excellence has consistently brought him recognition as a key contributor to the development of computer science curricula and conference organization.

🌍  Research Skills

Dr. D. B. Jagannadha Rao is proficient in advanced research skills, particularly in the field of Graph Mining. His expertise in frequent subgraph mining and the use of MapReduce for distributed data processing showcases his ability to tackle complex big data challenges. He is skilled in data analysis, algorithm development, and distributed computing, which are critical for handling large-scale databases. His research involves applying these computational methods to optimize data retrieval and mining processes. Additionally, Dr. Rao is adept at research supervision, guiding Ph.D. students through comprehensive data science projects. His experience in academic program development, conference coordination, and curriculum design has further refined his research management capabilities, making him a valuable contributor to academic research in computer science.

📖 Publication Top Notes

  • Title: A Study on Dynamic Source Routing Protocol for Wireless Ad Hoc Networks
    Cited by: 43
  • Title: Lung Cancer Detection and Severity Level Classification Using Sine Cosine Sail Fish Optimization-Based Generative Adversarial Network with CT Images
    Cited by: 12
  • Title: Exponentially‐Spider Monkey Optimization Based Allocation of Resource in Cloud
    Cited by: 12
  • Title: Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework
    Cited by: 3*
  • Title: Distributed Frequent Subgraph Mining Using Gaston and MapReduce
    Cited by: 3