Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Dr. Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Koneru Lakshmaiah Education Foundation | India

Dr. Sajja Tulasi Krishna is a distinguished researcher and academician in Computer Science and Engineering, currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation. She has extensive teaching experience in areas including CI/CD, Cloud DevOps, Python Full Stack Development, MERN Stack Web Development, Deep Learning, and Data Structures. Dr. Krishna earned her Ph.D. in Computer Science and Engineering and holds advanced degrees in M.Tech and B.Tech, reflecting a strong academic foundation. Her research focuses on deep learning, machine learning, biomedical image processing, and intelligent systems, with contributions in multi-omics integration, lung cancer detection, COVID-19 diagnosis, and medicinal plant classification. She has published 18 research articles in SCIE, Scopus, and IEEE journals, achieving a total of 488 citations with an h-index of 5 and an i10-index of 5. Dr. Krishna has presented her work at multiple national and international conferences, serving as a reviewer for reputed journals and conferences. She has received multiple awards recognizing her excellence in teaching, research, and technical contributions, including Best Teacher, International Excellence, and Young Researcher Awards. With her expertise, she continues to advance innovative research while mentoring students and contributing to the academic community globally.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

Krishna, S. T., & Kalluri, H. K. (2019). Deep learning and transfer learning approaches for image classification. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 427–432.

Sajja, T. K., Devarapalli, R. M., & Kalluri, H. K. (2019). Lung cancer detection based on CT scan images by using deep transfer learning. Traitement du Signal, 36(4), 339–344.

Sajja, T. K., & Kalluri, H. K. (2020). A deep learning method for prediction of cardiovascular disease using convolutional neural network. Revue d’Intelligence Artificielle, 34(5), 601–606.

Sajja, T. K., & Kalluri, H. K. (2021). Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9423–9434.

Sajja, T. K., & Kalluri, H. K. (2019). Gender classification based on face images of local binary pattern using support vector machine and back propagation neural networks. Advances in Modelling and Analysis B, 62(1), 31–35.

Uma V | Materials Science | Women Researcher Award

Dr. Uma V | Materials Science | Women Researcher Award

Government Thirumagal Mill’s College | India

Dr. V. Uma is a dedicated physics educator and researcher specializing in advanced functional materials, particularly multiferroic nanomaterials and thin-film systems. She serves as a Guest Lecturer in the Department of Physics at Government Thirumagal Mills College, where she has handled extensive teaching responsibilities across UG and PG programs, guided numerous student projects, and delivered lectures in areas such as material science, microprocessors, electronics, nuclear physics, and numerical methods. Her academic background includes a Ph.D. in Physics focused on the synthesis and characterization of bismuth iron oxide nanomaterials, supported by an M.Phil. in Physical Sciences, M.Sc. in Physics, and a B.Ed. in Physical Science, along with qualification in the State Eligibility Test. Her research expertise covers nanomaterial synthesis using sol-gel, hydrothermal, microwave combustion, and thin-film deposition techniques, along with characterization skills in XRD, FTIR, UV, VSM, SEM, dielectric studies, and electrochemical analysis. She has published impactful research contributions with a citation count of 8, two indexed documents, and an h-index of 2, demonstrating emerging recognition within the scientific community. She has actively participated and presented in several national and international conferences in materials science. Her work reflects strong commitment toward innovative research, quality teaching, and the advancement of materials science applications.

Profile: Scopus

Featured Publications

Uma, V., & Seenuvasakumaran, P. (2023). Synthesis, structural, microstructural, optical, magnetic and dielectric properties of Nd-doped multiferroic Bismuth iron oxide. Results in Materials. https://doi.org/10.1016/j.rinma.2022.100359

Sourav Ranjan Satpathy | Ceramic Engineering | Best Researcher Award

Sourav Ranjan Satpathy | Ceramic Engineering | Best Researcher Award

NIT Rourkela, India

Author Profile

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Sourav Ranjan Satpathy embarked on his academic journey with a deep-rooted passion for physics and material science. He completed his postgraduate studies in Physics from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, where he cultivated a strong foundation in fundamental sciences. His keen interest in research led him to qualify GATE (Physics) in 2022, a national-level competitive examination that opened doors to advanced research.

🏢 PROFESSIONAL ENDEAVORS

Currently, Sourav is serving as a Research Scholar (Ph.D. Student) at the National Institute of Technology (NIT), Rourkela, one of India’s premier institutes. He is actively engaged in interdisciplinary research in the Department of Ceramic Engineering. His doctoral research brings together core physics principles and innovative material science approaches, specifically focusing on clay-based geopolymer adsorbents for environmental cleanup.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN CERAMIC ENGINEERING

Sourav’s research revolves around the synthesis and performance evaluation of geopolymer materials—a class of advanced ceramics derived from industrial waste and natural clays. His recent publication:

Satpathy, Sourav Ranjan, and Sunipa Bhattacharyya. “Adsorptive dye removal using clay-based geopolymer: Effect of activation conditions on geopolymerization and removal efficiency.” Materials Science and Engineering: B 319 (2025): 118348.

highlights his breakthrough in wastewater treatment through eco-friendly and cost-effective ceramic adsorbents. He explores the adsorption kinetics, material regeneration, and the influence of activation conditions—critical parameters for practical environmental applications.

🏅 RESEARCH GRANTS AND FUNDING

Currently, Sourav’s work is supported through institutional infrastructure and academic grants facilitated by NIT Rourkela. He is poised to secure independent or collaborative funding from national research councils such as DST, CSIR, and SERB, aiming to expand the scope of applied ceramic engineering in environmental science.

🌍 IMPACT AND INFLUENCE

Sourav’s work aligns with global goals of sustainable development, especially UNSDG 6 (Clean Water and Sanitation) and UNSDG 12 (Responsible Consumption and Production). By developing geopolymer materials from waste clays and industrial byproducts, his research contributes toward circular economy models, reducing landfill waste, and offering scalable technologies for industrial wastewater remediation.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Sourav envisions scaling up his research into pilot-scale environmental solutions, collaborating with industries to implement adsorbent technologies for textile dye effluent treatment and heavy metal removal. His broader mission includes fostering awareness about low-carbon materials and mentoring future researchers in eco-materials and environmental technology.

 ✅CONCLUSION

Sourav Ranjan Satpathy represents the emerging generation of multidisciplinary Indian researchers, committed to scientific excellence, environmental stewardship, and technological innovation. His contribution to ceramic-based adsorbents is not only scientifically relevant but socially responsible, addressing some of the most pressing ecological challenges. As a nominee for the Best Researcher Award, Sourav brings merit, passion, and promise—hallmarks of a future leader in sustainable material science.

 🔬NOTABLE PUBLICATION:

Adsorptive dye removal using clay-based geopolymer: Effect of activation conditions on geopolymerization and removal efficiency

Author(s): Sourav Ranjan Satpathy, Sunipa Bhattacharyya
Journal: Materials Science and Engineering: B
Year: 2025


Clay Based Geopolymer Adsorbent and Its Application for Methylene Blue Dye Removal from Wastewater System

Author(s): Sourav Ranjan Satpathy, Sunipa Bhattacharyya
Journal: (Not specified; likely unpublished or conference/workshop paper)
Year: 2023