Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt MujwarĀ  , Chitkara University, Punjab , India

Dr. Somdutt Mujwar is a distinguished Computational and Medicinal Chemist renowned for his extensive contributions to drug design and discovery. Currently an Associate Professor at Chitkara College of Pharmacy, Chitkara University, India, he applies advanced computational techniques and machine learning in pharmaceutical research. With a robust academic background including a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Dr. Mujwar has made significant strides in computational drug repurposing and genomics-driven drug target identification. His research has been widely published in reputable journals, contributing to advancements in understanding molecular interactions and developing novel therapeutic strategies. Dr. Mujwar’s expertise extends to molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies, reflecting his commitment to leveraging computational tools for innovative drug development.

Professional Profile:

Scopus

Google Scholar

Education:

Dr. Somdutt Mujwar is an accomplished Computational and Medicinal Chemist with a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Bhopal, India. He currently holds the position of Associate Professor at Chitkara College of Pharmacy, Chitkara University, where he leads research applying advanced computational techniques and machine learning in pharmaceutical sciences. Dr. Mujwar’s academic journey includes a Master of Pharmacy in Pharmaceutical Chemistry from Rajiv Gandhi Technical University and a Bachelor of Pharmacy from Barkatullah University, both in India.

Work Experience:

His professional experience spans significant roles such as Assistant Professor at the Institute of Pharmaceutical Research, GLA University, Mathura, where he focused on computational drug repurposing and established a computational drug design laboratory. Previously, as a Doctoral Research Fellow at Maulana Azad National Institute of Technology, he conducted pioneering research on riboswitches as drug targets. Dr. Mujwar’s research contributions have been published extensively in reputable journals, advancing the fields of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies. His work underscores a deep commitment to leveraging computational tools for innovative drug discovery and development.

Publication Top Notes:

  1. Doxorubicinā€”an agent with multiple mechanisms of anticancer activity
    • Cited by 98
    • Year: 2023
    • Journal: Cells 12 (4), 659
  2. Repurposing metocurine as main protease inhibitor to develop novel antiviral therapy for COVID-19
    • Cited by 68
    • Year: 2020
    • Journal: Structural chemistry 31 (6), 2487-2499
  3. A retrospect on antimicrobial potential of thiazole scaffold
    • Cited by 63
    • Year: 2020
    • Journal: Journal of Heterocyclic Chemistry 57 (6), 2304-2329
  4. Molecular Docking and In Silico Cogitation Validate Mefenamic Acid Prodrugs as Human Cyclooxygenase-2 Inhibitor
    • Cited by 63
    • Year: 2019
    • Journal: ASSAY and Drug Development Technologies 17 (6)
  5. Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2
    • Cited by 57
    • Year: 2021
    • Journal: Computers in Biology and Medicine 136, 10474

 

 

Prof. Altaf Hussain Rajpar | Nanoscale Awards | Best Researcher Award

Prof. Altaf Hussain Rajpar | Nanoscale Awards | Best Researcher Award

Prof. Altaf Hussain Rajpar , Jouf University , Saudi Arabia

Altaf Hussain Rajpar is a distinguished professor specializing in Mechanical Engineering and Mechatronics. With a PhD earned in March 2008, he currently holds the esteemed position of Professor at Al-Jouf University in Sakaka, K.S.A. His expertise spans various domains within Mechanical Engineering, contributing significantly to research and academia. Apart from his professional commitments, he actively engages in scholarly pursuits, evident from his noteworthy publication record and scholarly indices. With a passion for education and research, Altaf Hussain Rajpar continues to inspire and mentor aspiring engineers and researchers globally.

Professional Profile:

Google Scholar

šŸ“š Specialization:

Altaf Hussain Rajpar, a Professor at Al-Jouf University in Sakaka, K.S.A., specializes in Mechanical Engineering with a focus on Mechatronics. His expertise in this interdisciplinary field, which combines mechanical engineering, electronics, computer science, and control engineering, underscores his comprehensive approach to modern engineering challenges. With a PhD earned in March 2008, Professor Rajpar integrates advanced mechatronic principles into his teaching and research, contributing significantly to advancements in mechanical engineering. His work emphasizes the design, analysis, and application of intelligent systems and automation, reflecting his deep commitment to innovation and academic excellence.

šŸ‘Øā€šŸ« Current Position:

Altaf Hussain Rajpar, a distinguished Pakistani national born on January 1, 1969, in Khairpur Mirā€™s, Sindh, Pakistan, currently serves as a Professor of Mechanical Engineering specializing in Mechatronics at Al-Jouf University in Sakaka, K.S.A. He holds a PhD, earned in March 2008, and has a rich academic and research background

Publication Top Notes:

  1. Fundamental concepts of hydrogels: Synthesis, properties, and their applications”
    Published in Polymers, 2020
    cited by 452 articles.
  2. “Performance analysis of a savonius vertical axis wind turbine integrated with wind accelerating and guiding rotor house”
    Published in Renewable Energy, 2019
    cited by 452 articles.
  3. “Hydrothermally assisted synthesis of porous polyaniline@ carbon nanotubesā€“manganese dioxide ternary composite for potential application in supercapattery”
    Published in Polymers, 2020,
    cited by 39 articles.
  4. “Recognition of printed Chinese characters by using Neural Network”
    Published in 2006 IEEE International Multitopic Conference, 2006,
    cited by 29 articles.
  5. “Recent development in the design of wind deflectors for vertical axis wind turbine: A review”
    Published in Energies, 2021

cited by 28 articles.