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.

Asim Manna | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Mr. Asim Manna | Artificial Intelligence | Best Researcher Award

Indian Institute of Technology Kharagpur, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Mr. Asim Manna embarked on his academic journey with a robust foundation in mathematics, earning his Bachelor’s degree from the University of Burdwan and a Master’s in Pure Mathematics from the University of Calcutta. His pursuit of interdisciplinary excellence led him to the Indian Statistical Institute (ISI), Kolkata, where he transitioned into the realm of technology through an M.Tech in Computer Science. Currently, he is pursuing his Ph.D. at the Indian Institute of Technology (IIT) Kharagpur, focusing on Artificial Intelligence with a specialization in computer vision and medical imaging, a domain where he continues to thrive as a research scholar.

🏢 PROFESSIONAL ENDEAVORS

Mr. Manna is presently engaged as a Research Intern at Samsung Research Institute Bangalore, working on cutting-edge image signal processing pipelines. He has previously contributed to the field as a Research Intern at IIT Bhilai, where he explored cryptographic algorithm implementations. His experience as a Teaching Assistant for NPTEL courses on Deep Learning showcases his commitment to academic mentorship and knowledge dissemination.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE

Mr. Manna’s core research lies in deep learning, hash-based medical image retrieval, and generative models for computer vision, with emphasis on:

  • Structured deep neural hashing

  • Multimorbidity image retrieval using chest X-rays

  • Multi-modal and multi-label medical imaging systems

  • Generative methods for HDR imaging and signal fusion

His work has significantly advanced the development of efficient, content-aware, organ-specific, and pathology-sensitive retrieval systems, essential for evidence-based medicine (EBM) and healthcare diagnostics.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Mr. Manna’s publications in high-impact, peer-reviewed journals such as Computers in Biology and Medicine, Scientific Reports, and the Journal of Medical Imaging have garnered academic recognition. His collaborative research on OPHash, MeDiANet, and structured hashing for modality-organ-disease retrieval contributes to the growing body of literature in medical AI systems. His participation in international conferences like Pattern Recognition (Springer, Cham) reflects scholarly acknowledgment.

He has also received:

  • CSIR-UGC NET Lectureship (AIR-94)

  • Swami Vivekananda Merit-cum-Means Scholarship

  • Qualified for NBHM Scholarship and Fellowship Exams

🌍 IMPACT AND INFLUENCE

Asim’s research contributes to the transformative role of AI in healthcare, particularly by improving content-based retrieval systems for medical diagnostics. His participation in global competitions like the NTIRE 2025 Image Denoising Challenge, where he achieved a top 5 global ranking, reflects the practical excellence and competitiveness of his work. His leadership as a Plenary Chair at the Kharagpur Digital Health Symposium further exemplifies his influence within academic and industrial circles.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Mr. Manna’s body of work stands at the intersection of mathematical rigor and real-world AI applications, aiming to revolutionize healthcare imaging through scalable, explainable, and secure AI solutions. With a strong foundation in hash learning, generative AI, and medical image understanding, he is poised to contribute toward building intelligent clinical decision systems, federated diagnostic networks, and resource-optimized AI pipelines for edge deployment.

His long-term vision includes:

  • Expanding AI applications to resource-constrained medical infrastructures

  • Enhancing interpretability in deep learning frameworks

  • Contributing to open-source medical imaging libraries for global researchers

 ✅CONCLUSION

Mr. Asim Manna exemplifies the emerging class of researchers who are pioneering the convergence of mathematics, artificial intelligence, and healthcare. Through his innovative research, academic leadership, and global collaboration, he is contributing meaningfully to both theoretical advancements and practical solutions in AI for medical image analysis. With a track record of technical mastery, scholarly excellence, and impactful contributions, his future as a thought leader in AI-driven medical technologies is both promising and transformative.

🔬NOTABLE PUBLICATION:

Title: The tenth NTIRE 2025 image denoising challenge report
Authors: L. Sun, H. Guo, B. Ren, L. Van Gool, R. Timofte, Y. Li
Journal/Conference: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 1342–1369
Year: 2025

Title: FedERA: Framework for Federated Learning with Diversified Edge Resource Allocation
Authors: A. Borthakur, A. Kasliwal, A. Manna, D. Dewan, D. Sheet
Journal/Conference: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA)
Year: 2024

Title: Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval
Authors: A. Manna, D. Dewan, D. Sheet
Journal/Conference: Scientific Reports, Volume 15 (1), Article 8912
Year: 2025

Title: Deep neural hashing for content-based medical image retrieval: A survey
Authors: A. Manna, R. Sista, D. Sheet
Journal/Conference: Computers in Biology and Medicine, Volume 196, Article 110547
Year: 2025

Title: OPHash: Learning of organ and pathology context-sensitive hashing for medical image retrieval
Authors: A. Manna, R. Sathish, R. Sethuraman, D. Sheet
Journal/Conference: Journal of Medical Imaging, Volume 12 (1), Article 017503-017503
Year: 2025