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.

Shivangi Sharma | Applied Chemistry | Best Researcher Award

Ms. Shivangi Sharma | Applied Chemistry | Best Researcher Award

Amity University Gwalior, India

Author Profile

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Ms. Shivangi Sharma began her academic journey with a Bachelor’s degree in Chemistry, followed by a Master’s degree (M.Sc.) in Chemistry from Jiwaji University, Gwalior, where she earned 3rd rank in her class (2021). Her strong foundational knowledge in chemical sciences laid the groundwork for advanced research. She also completed rigorous summer research training (CSIR-SRTP) focused on advanced materials like carbon nanotubes, showcasing early dedication to applied chemistry and materials science.

🏢 PROFESSIONAL ENDEAVORS

Currently, Ms. Sharma is a Ph.D. Research Scholar at the Department of Applied Chemistry, Amity University Gwalior. Her role involves molecular design, organic synthesis, and biological evaluation of compounds with pharmaceutical potential. She has actively contributed to academic projects, conferences, and collaborative research, gaining experience in both wet-lab synthesis and in silico molecular docking studies.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON APPLIED CHEMISTRY

Ms. Sharma’s research focuses on:

  • Synthetic Organic Chemistry: Designing and synthesizing heterocyclic compounds such as quinoline and indole derivatives.

  • Biological Evaluation: Testing these compounds for antibacterial and antifungal activities, bridging chemistry and biomedical applications.

  • Molecular Docking: Utilizing computational chemistry tools to predict molecular interactions and guide synthesis.
    Her contributions include more than 28 scientific publications, book chapters, and a dedicated book on organic synthetic methodologies, enhancing the field of applied organic chemistry.

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

  • Over 28 publications in reputed journals and book chapters.

  • An h-index of 2 and 18 citations reflect growing academic influence.

  • 3rd Rank in M.Sc. Chemistry, Jiwaji University, highlighting academic excellence.

  • Presenter at national conferences with recognition for her research contributions.

🌍 IMPACT AND INFLUENCE

Ms. Sharma’s work contributes to the development of novel therapeutic agents that could address antimicrobial resistance, a major global health concern. By integrating synthetic chemistry with biological screening, her research aids pharmaceutical innovation and encourages interdisciplinary approaches in applied chemistry.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Ms. Sharma aims to:

  • Continue advancing synthetic methodologies for bioactive compounds.

  • Foster collaborations between organic chemistry and pharmacology.

  • Mentor future researchers in applied chemistry.
    Her ongoing projects will likely lead to the development of new drugs, patents, and further scientific publications, strengthening her legacy in applied chemical sciences.

 ✅CONCLUSION

Ms. Shivangi Sharma stands out as a promising researcher in applied synthetic chemistry, blending rigorous academic training with impactful research. Her commitment to solving real-world problems through chemical innovation marks her as a valuable contributor to pharmaceutical chemistry and allied fields.

 🔬NOTABLE PUBLICATION:

Title: Withdrawn: Natural Existence and Bioactivity of Flavonoids: Synthetic Strategies and Mechanistic Pathways
Authors: Shivangi Sharma, Pankaj Kumar Mishra, Shivendra Singh
Journal: Mini-Reviews in Organic Chemistry
Year: 2025



Title: Spider Silk: Biosynthesis, Properties & Bioengineering
Authors: Shivendra Singh, Shivangi Sharma, Snigdha Das, Amlan Kumar Das
Journal: Current Nanomaterials
Year: 2024



Title: Heterocyclic-Based Analogues against Sarcine-Ricin Loop RNA from Escherichia coli: In Silico Molecular Docking Study and Machine Learning Classifiers
Authors: Shivangi Sharma, Rahul Choubey, Manish Gupta, Shivendra Singh
Journal: Medicinal Chemistry
Year: 2024



Title: Conducting Polymer Nanofibers and Nanotubes as a Potential Nanotechnology: Current Status and Future Directions
Authors: Shivangi Sharma, S. Mohanalakhmi
Journal: Current Nanomaterials
Year: 2024



Title: Biochar, Clay, Zeolites, and Microorganism-based Methods for Remediation of Heavy Metals
Authors: Yukti Monga, Shivangi Sharma, Shivendra Singh, Ashu Gupta
Journal: Current Green Chemistry
Year: 2024