Chellavelu Vijayakumaran | Computer Vision | Research Excellence Award

Published-on by Indian Scientist

Dr. Chellavelu Vijayakumaran | Computer Vision | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. Rajesh Pandiyan is a dedicated researcher and academic with expertise spanning microbiology, biochemistry, materials engineering, and pharmaceutical technology. He has served in progressive teaching and research roles across leading institutions, contributing significantly to interdisciplinary advancements. His research journey includes extensive work in nanocomposite-based ultrafiltration membranes, magnetic nanomaterials for targeted drug delivery, medicinal plant-based therapeutics, and biochemical models for autoimmune and inflammatory diseases. He has also worked on environmental biotechnology, wastewater remediation, tissue engineering, and drug discovery. With a strong academic foundation built through doctoral and postgraduate training in microbiology, biochemistry, and chemistry, he has developed a wide research portfolio combining materials chemistry with biological applications. His scholarly contributions include 67 peer-reviewed research and review articles, supported by an H-index of 19, i10-index of 27, and more than 1300 citations, reflecting global recognition of his work. He has delivered invited talks, chaired scientific sessions, and served as a resource person for various scientific forums, in addition to contributing as an editorial member for reputed journals. His awards span excellence in research, oral and poster presentations, and international recognition for scientific contributions. Overall, his work integrates innovation and multidisciplinary approaches aimed at solving challenges in healthcare, environment, and materials science.

Profile: Google Scholar

Featured Publications

Vijayakumaran, C., Muthusenthil, B., & Manickavasagam, B. (2020). A reliable next generation cyber security architecture for industrial internet of things environment. International Journal of Electrical and Computer Engineering, 10(1), 387.

Alagurajan, M., & Vijayakumaran, C. (2020). ML methods for crop yield prediction and estimation: An exploration. International Journal of Engineering and Advanced Technology, 9(3), 1–5.

Karthikeyan, L., Vijayakumaran, C., Chitra, S., & Arumugam, S. (2021). Saldeft: Self-adaptive learning differential evolution based optimal physical machine selection for fault tolerance problem in cloud. Wireless Personal Communications, 118(2), 1453–1480.

Chinnappa Annamalai, H. K., Vijayakumaran, C., & Vijayakumar, P. (2023). Optimal ElGamal encryption with hybrid deep-learning-based classification on secure Internet of Things environment. Sensors, 23(12), 5596.

Sweetline, B. C., Vijayakumaran, C., & Samydurai, A. (2024). Overcoming the challenge of accurate segmentation of lung nodules: A multi-crop CNN approach. Journal of Imaging Informatics in Medicine, 37(3), 988–1007.

Sujatha T | Image Processing | Best Researcher Award

Published-on by Indian Scientist

Dr. Sujatha T | Image Processing | Best Researcher Award

Sri Krishna College of Engineering and Technology | India

Dr. Sujatha T is a dedicated academician and researcher associated with Sri Krishna College of Engineering and Technology, India. She has established herself as a committed professional with expertise in engineering education, contributing to both teaching and research. Her career reflects a strong balance between academic instruction, scholarly publications, and mentorship of students. With a deep passion for knowledge dissemination, she actively engages in guiding young researchers while also contributing to the growth of her institution. Her contributions are recognized in academic forums and research communities, making her a valuable member of the engineering and technology domain.

Professional Profile

Scopus

Education

Dr. Sujatha T has pursued her academic journey in engineering and technology, building a solid foundation in the field. She completed her undergraduate and postgraduate studies in engineering disciplines, which equipped her with the knowledge and analytical skills required for teaching and research. Her doctoral research allowed her to explore specialized areas, deepening her expertise and contributing valuable insights to her subject. Through continuous learning and exposure to advanced technologies, she has enhanced her academic qualifications. Her educational background reflects a strong commitment to lifelong learning, forming the basis for her teaching, research, and professional contributions in engineering education.

Professional Experience

Dr. Sujatha T has significant professional experience in academia, serving as a faculty member at Sri Krishna College of Engineering and Technology. Her role encompasses teaching undergraduate and postgraduate students, developing curricula, and mentoring student projects. She has actively contributed to academic development through research publications, conference participation, and collaborative initiatives. Beyond teaching, she has played an instrumental role in academic administration, accreditation processes, and institutional activities. She continues to bridge the gap between theoretical knowledge and practical applications, inspiring students to engage in innovation and research. Her professional journey highlights her dedication to higher education and research.

Awards and Recognition

Dr. Sujatha T has received recognition for her academic and research contributions in engineering and technology. Her efforts have been acknowledged through awards presented by academic and professional organizations, highlighting her role in advancing research and education. She has been invited to present papers and participate in national and international conferences, where her work has been well received by peers. Her recognition also extends to contributions in student mentoring and innovative teaching practices. Such acknowledgments reflect her continuous efforts to excel in her field while maintaining a balance between teaching, research, and institutional responsibilities.

Research Skills

Dr. Sujatha T possesses strong research skills, demonstrated through her involvement in engineering research and scholarly publications. She is skilled in problem identification, analytical thinking, and the application of advanced methodologies to address complex issues in technology. Her ability to design and conduct experiments, interpret results, and publish findings showcases her commitment to advancing knowledge. She is also experienced in interdisciplinary collaboration, bringing diverse perspectives into her research work. Her research expertise enables her to contribute to both academic literature and practical applications, fostering innovation while guiding students and colleagues toward impactful and meaningful research outcomes.

Notable Publications

TFSCA_MRCNN: A dense shuffle-grouped dilated convolutional framework for efficient breast cancer image segmentation

LUNG EFFGHOST V-NET: An enhanced novel model for precise lung cancer segmentation and detection

Conclusion

Dr. Sujatha T stands out as a respected academician, researcher, and mentor at Sri Krishna College of Engineering and Technology. Her journey reflects a balanced integration of teaching, research, and institutional service. Through her educational background, professional experiences, and recognized contributions, she continues to inspire students and peers in the field of engineering. Her dedication to research, knowledge dissemination, and academic excellence demonstrates her commitment to advancing education and technology. She remains a role model for aspiring researchers, upholding values of integrity, innovation, and continuous learning, while contributing to the broader academic and research community.