バイオグラフィー
Dr. Gugulothu, is presently working as Assistant Professor, Delhi Pharmaceutical Sciences and Research University, New Delhi India, He was completed Ph. D (Tech) (2014), and M. Pharmacy (2008) from Institute of Chemical Technology (ICT) Mumbai, India, and B. Pharmacy (2004) from Kakatiya University, Warangal, Telangana, India.
His research areas of interest include Si RNA Delivery, Nanotoxicology, Targeted drug delivery systems, Nanofibers, Exosomes, Gastroretentive drug delivery systems, Orodispersible drug delivery systems and Lyophilisation cycle development. He has presented a number of research papers in various national and intentional conferences and received multiple best research paper awards. He has granted three Indian patents.
He has published two review articles, 16 research papers and 6 chapters in books. He has also completed one research project which is sponsored by SERB-DST. Recently he got another research project from SERB-DST. Furthermore, he received travelling grant from DBT and DST for the attending conferences.
研究の興味
Nanotechnology in Drug delivery, Vaccine delivery, Nanodiagnostics, Biomedical Science, Nanobiotechnolgy, Nanomaterials and Cancer therapy (Si RNA), Nanofibers, Exosomes, Nanotoxicology, Intracellular Trafficking of nanoparticles, Microneedles, Development of Lyophilzation Cycle, Gastroretentive drug delivery systems, Orodispersible drug delivery systems and HPLC method development.
Editor
仕事内容
Assistant Professor
Delhi Pharmaceutical Sciences and Research University
Department of Pharmaceutics
India
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研究論文
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Prevalence of Diabetic Retinopathy among Self-reported Newly Diagnosed Diabetics
- The Antioxidant and Antidepressant Properties of Dietary Proteins Derived from Egg and Bean Extracts and Their Acute Toxicity: A Journey from Nutrition to Pharmacognosy
- Problem of Surface Waves on Water in Higher School Laboratory Workshop
- Integrated Multi-fidelity Structural Optimization for UAV Wings
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
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