Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Published-on by Indian Scientist

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.

Dolly Jamwal | Behavioural Economics | Research Excellence Award

Published-on by Indian Scientist

Mrs. Dolly Jamwal | Behavioural Economics | Research Excellence Award

Dayalbagh Educational Institute | India

Dolly Jamwal is a multidisciplinary researcher in behavioural economics, psychology, sustainability studies, and consciousness research, with scholarly contributions reflected in 3 citations, an h-index of 1, and multiple peer-reviewed documents indexed in SCOPUS. With advanced academic training in Economics (Multidisciplinary Research), Clinical Psychology, and English Literature, she integrates behavioural insights, emotional intelligence theory, and sustainable consumption behaviour into her research. Her work spans mixed-methods research, computational social science, structural equation modelling, psychometric scale development, and policy-oriented behavioural interventions. She has developed original tools such as the Practical Consciousness Scale, Total Consciousness Equation, Economic Identity Scale, and Sustainable Consumption Behaviour Scale. Her published studies explore socio-economic and psychological well-being, SDG awareness, behavioural nudges, ethical frameworks, and consciousness-based behavioural transformation. She has presented at national and international conferences on behavioural interventions, wellbeing dynamics, sustainable development behaviours, and mindfulness-oriented models. Her professional experience includes research, academic mentorship, qualitative and quantitative analysis, and involvement in social-impact initiatives. Recognised for innovative policy suggestions and academic excellence, her interests include behavioural design, emotional economics, sustainability transitions, and value-driven decision-making. Her work advances interdisciplinary research aimed at fostering positive behavioural change, ethical economic thinking, and sustainable societal development.

Profile: Google Scholar

Featured Publications

Satsangi, R., Jamwal, D., Sharma, S., Manani, P., & Satsangi, D. (2024). Socio-Economic and Psychological Well-Being: An Analytical Study for Sustainable Policy-Making. International Journal of Sustainable Development and Planning, 19(1), 179–185.

Jamwal, D., & Satsangi, R. (2025). Nudge/behavioural-based interventions for reducing polythene bag usage: A case study. Acta Psychologica, 258, 105163.

Sharma, S., Manani, P., Thakwani, M., Satsangi, R., Sharma, P., & Jamwal, D. (2024). Level of awareness on the sustainable development goals among Indian youth: Empirical evidence from Northern India. Edelweiss Applied Science and Technology, 8(4), 2356–2368.