Biography
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.
Research Interest
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.

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Work Details
Assistant Professor
Delhi Pharmaceutical Sciences and Research University
Department of Pharmaceutics
India
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Research Articles
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- EB Naevi-like Lesion in Infant Bullous Pemphigoid
- Sorption-based Spectrophotometric Assay for Lead(II) with Immobilized Azo Ligand
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
- Integrated Multi-fidelity Structural Optimization for UAV Wings
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