Ms. Deepthi Padmanabhan | Computational Nanotechnology Awards | Best Researcher Award

Ms. Deepthi Padmanabhan | Computational Nanotechnology Awards | Best Researcher Award

Ms. Deepthi Padmanabhan  , SRMIST , India

Deepthi Padmanabhan is a dedicated researcher and educator with a strong background in biochemistry and biotechnology. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, her research focuses on the multi-omics approach to identify medicinal compounds from plants. She holds a Master’s degree in Biochemistry, graduating with distinction and a gold medal from Vels Institute of Science and Technology, and a Bachelor’s degree in Biotechnology, Biochemistry, and Genetics from Jyoti Nivas College. Deepthi has three years of teaching experience in various biotechnology laboratory courses at SRM IST. Her research contributions include several high-impact publications and a book chapter on nanomaterials. Additionally, she has actively participated in numerous workshops and conferences, presenting her findings on plant biotechnology. Deepthi’s expertise spans a range of analytical techniques, structural bioinformatics, molecular docking, and simulation, as well as various molecular biology techniques. She is proficient in bioinformatics tools and data analysis, making her a versatile and skilled researcher in her field.

Professional Profile:

Google Scholar

 🎓Education:

Deepthi Padmanabhan is currently pursuing her Ph.D. at SRM Institute of Science and Technology, focusing on a multi-omics approach to identify medicinal compounds from Sida cordifolia and Justicia adhatoda (2020-2024). She holds a Master of Science degree in Biochemistry from Vels Institute of Science and Technology, where she graduated with distinction, earning a gold medal and an impressive 84.4% (First Class with Distinction) during the period of 2018 to 2020. Prior to this, she completed her Bachelor of Science in Biotechnology, Biochemistry, and Genetics at Jyoti Nivas College Autonomous, graduating with a First Class, achieving 60%, from 2015 to 2018.

 🏢Professional Experience:

Deepthi Padmanabhan has extensive experience as a teaching lab instructor in various biotechnology laboratories at the Department of Genetic Engineering, SRM IST, Kattankulathur, India. She served as a Teaching Lab Instructor for the Cell and Microbiology Laboratory from July 2023 to December 2023, the Plant Biotechnology Laboratory from January 2023 to May 2023, the Cell Biology Laboratory from July 2022 to December 2022, and again for the Plant Biotechnology Laboratory from January 2022 to May 2022

Publication Top Notes:

 

 

 

Dr. Satendra Singh | Computational Nanotechnology Awards | Best Researcher Award

Dr. Satendra Singh | Computational Nanotechnology Awards | Best Researcher Award

Dr. Satendra Singh , Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj , India

Dr. Satendra Singh, born on July 5, 1985, is an Assistant Professor (Selection Grade) at the Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Prayagraj, Uttar Pradesh, India. He holds a B. Pharma degree from IFTM, Moradabad, an M. Tech. in Bioinformatics from IIIT Allahabad, and a Ph.D. in Bioinformatics from SHUATS. Dr. Singh has been with SHUATS since August 2006 and served as the In-charge of his department from July 2013 to July 2016. His research focuses on bioinformatics, with several publications in reputed journals, including recent work on functional annotation of Cry1Ac protein in Bt cotton and molecular modeling of PAD4 in Solanum lycopersicum

Professional Profile:

Scopus

🎓Academic Qualifications:

Dr. Satendra Singh obtained his Ph.D. in Bioinformatics from the Sam Higginbottom Institute of Agriculture, Technology and Sciences in 2013. Prior to his doctoral studies, he completed his M. Tech. in Information Technology (Bioinformatics) from IIIT-Allahabad in 2006. His academic journey began with a Bachelor’s degree in Pharmacy from IFTM, Moradabad, in 2004. This multidisciplinary educational background equipped him with a strong foundation in pharmaceutical sciences and information technology, paving the way for his specialized focus in bioinformatics.

👨‍🏫 Work Experience:

Dr. Satendra Singh has been serving as an Assistant Professor (Selection Grade) at Sam Higginbottom University of Agriculture, Technology and Sciences since August 4th, 2006. During his tenure, he has demonstrated a commitment to excellence in teaching and research in the field of computational biology and bioinformatics. From July 2013 to July 2016, he also held the responsibility of In-charge of the Department of Computational Biology & Bioinformatics at SHUATS, where he played a pivotal role in advancing the department’s initiatives and fostering academic growth.

Publication Top Notes:

  1. An in silico analysis of deleterious single nucleotide polymorphisms and molecular dynamics simulation of disease linked mutations in genes responsible for neurodegenerative disorder
    • Pandey, S., Dhusia, K., Katara, P., Singh, S., Gautam, B.
    • Journal of Biomolecular Structure and Dynamics, 2020
    • 9 Citations
  2. Exploring Medicinal Plant Legacy for Drug Discovery in Post-genomic Era
    • Singh, S., Singh, D.B., Singh, S., … Ramteke, P.W., Misra, K.
    • Proceedings of the National Academy of Sciences India Section B – Biological Sciences, 2019
    • 27 Citations
  3. In silico screening of deleterious single nucleotide polymorphisms (SNPs) and molecular dynamics simulation of disease associated mutations in gene responsible for oculocutaneous albinism type 6 (OCA 6) disorder
    • Kumar, R., Bansal, A., Shukla, R., … Singh, S., Gautam, B.
    • Journal of Biomolecular Structure and Dynamics, 2019
    • 14 Citations
  4. Genome-wide identification and comprehensive analysis of Excretory/Secretory proteins in nematodes provide potential drug targets for parasite control
    • Gahoi, S., Singh, S., Gautam, B.
    • Genomics, 2019
    • 9 Citations
  5. Genome-wide essential gene identification in pathogens
    • Gautam, B., Goswami, K., Singh, S., Wadhwa, G.
    • Current trends in Bioinformatics: An Insight, 2018
    • 1 Citation