0000-0002-1497-6210 About
Dr. Awadhesh Kumar Verma (डॉ.अवधेश कुमार वर्मा)
Ph.D. Nanotechnology (Nanobiophysics & Nanobioinformatics), CIRBSc, JMI & IIT-Delhi
M.Tech Nanoscience, Special Centre for Nanoscience (SCNS), Jawaharlal Nehru University (JNU), New Delhi- 110067, India
M.Sc. (JMI), B.Ed. (MDU)
Assistant Professor (सहायक प्रोफेसर)
CH11, Room No. - 202, Block-56 (सीएच11, कमरा नंबर - 202, ब्लॉक-56)
Department of Biotechnology and Bioinformatics (जैव प्रौद्योगिकी और जैव सूचना विज्ञान विभाग)
School of Bioengineering and Biosciences (बायोइंजीनियरिंग और बायोसाइंसेज स्कूल)
Lovely Professional University (लवली प्रोफेशनल यूनिवर्सिटी)
Punjab, 144411, India (पंजाब, 144411, भारत)
Former Assistant Professor at Aryabhatt Institute of Technology
Delhi Skill and Entrepreneurship University (DSEU), Govt. of NCT Delhi
Former Research Scientist & Scientific Officer [3Knano incubated at AIC-JNU-FI]
Employment
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Lovely Professional University Assistant Professor2023 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Sustainable 3D Bio Printing Technologies Save
- Anticorrosive potential of plant-derived heterocompounds for bio-corrosion: in silico and AI-driven insights Save
- Integration of Artificial Intelligence in Optical Systems for Healthcare Monitoring Save
- Optimized fungal chitosan-based pegasparaginase immobilization for intravenous delivery to enhance treatment of acute lymphoblastic leukaemia Save
- HPTLC QUANTIFICATION OF 4, 4’-METHYLENE BIS (2,6-DI-TERT-BUTYL PHENOL) IN FLAX MICROGREEN EXTRACTS AND ITS ANTICANCER POTENTIAL AGAINST PROSTATE CANCER Save
- Integrating Machine Learning and In Silico Analysis for Enhanced Detection and Treatment of NAFLD-Linked Hepatocellular Carcinoma Save
- In-Silico Identification and Evaluation of Diosgenin as a Promising Phytomedicine Targeting MHC-I for Cancer Therapy Save
- Unveiling BPDE Induced Carcinogenic Signaling: Computational Insights into NF-κB, MAPK, and PI3K/Akt Pathway Activation Save
- An integrated data analysis and computational approach to reveal gene signatures for paediatric Tuberculosis meningitis related to non-tuberculosis patients Save
- System biology based integrative analysis to predict early biomarkers for COVID-related MIS in children Save