Dr Rashmi Mukherjee
vidwan id: 369920
Assistant Professor, Department of Botany
Raja Narendra Lal Khan Women's College
Expertise
- Biology
Publications
Publications
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Scopus
h-index
15
CrossRef
Citations
459
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12
Google Scholar
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Professional Recognition
Post Doctoral Fellowship for Women
UGCResearch Associateship
MHRDISCA Young Scientist Awardee
Indian Science Congress AssociationBest Paper Presenter in Medical Sciences
Regional West Bengal State Science and Technology CongressUniversity Gold Medal for being 1st Class 1st
Vidyasagar UniversitySaradamoni Gold Medal for securing highest marks in M.Sc
Vidyasagar UniversityUniversity Gold Medal for standing 1st Class 1st in B.Sc
Vidyasagar UniversityCS Dawn prize for the best paper
All India Congress of Obstetrics and GynecologyOutstanding Scientist Award in Biotechnology
Venus International Research AwardsCommunity & Membership
IQAC
IQAC COORDINATORSTUDY IN INDIA
NODAL OFFICERCAREER ADVANCEMENT CENTER COMMITTEE
ASSISTANT COORDINATORENVIRONMENT MONITORING COMMITTEE
CO-COORDINATORBiotech Research Society of India [BRSI]
National Academy of Biological Sciences
Bio
Medical Biotechnology, Environmental Biology, Clinical Biochemistry, Quantitative Microscopy, Metabolite Profiling
Personal Details
- Female
- Assistant Professor , Raja Narendra Lal Khan Women's College
- Department of Botany,Raja Narendral Khan Womens College [Autonomous]
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Organisations (155+)
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Co-Authors (16)
Indian Institute of Technology Kharagpur
Indian Institute of Technology Kharagpur
Jadavpur University
National Institute of Technical Teachers Training & Research, Kolkata
Bharati Vidyapeeths College of Engineering, Lavale Address: lavale Taluka: Mulashi District: Pune
Cotton University, Guwahati
Indian Institute of Technology Kharagpur
Indian Institute of Technology Kharagpur
National Institute of Technology, Arunachal Pradesh
Indian Institute of Technology Kharagpur
Central Scientific Instruments Organization
CSIR-National Metallurgical Laboratory
Indian Institute of Technology Kharagpur
N/A
Scholarly Work
COVID-19 Disease risk prediction and diagnostic classification using statistical and machine learning techniques
Funding Agency: ICMR
CO-PI
2,305,000
2022 - Ongoing
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