Dr. Lal Singh
CSIR- National Environmental Engineering Research Institute, Forest Research Institute Dehradun, Forest Research Institute University, Dehradun, India, C.C.S. University, Meerut (UP), India
About
Dr. Lal Singh has been associated with NEERI since 2013 as a scientist, in Group IV (2). Currently, I am working as a Principal Scientist/ Associate Professor in the SHWM division, CSIR-NEERI, Nagpur, India. I have worked extensively in the fields of exploration of biodiversity in Forest Ecosystems, Development of biodiversity in degraded areas, wastelands, contaminated areas, Ecological socioeconomic studies, Phytoremediation technology for industrial waste, ecological restoration of uranium tailings and economic valuation of natural and man-made ecosystem and biodiversity.
Employment
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CSIR- National Environmental Engineering Research Institute Principal Scientist2013 - Present
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Forest Research Institute Dehradun Research Assistant2009 - 2013
Education
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Forest Research Institute University, Dehradun, India Post Graduate Diploma2004 - 2005
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C.C.S. University, Meerut (UP), India M.Sc. Botany2002 - 2004
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C.C.S. University, Meerut (UP), India B.Sc. in Botany, Chemistry, Zoology1999 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (127)
- Critical review of manganese sources, pollution, ecotoxicological risks, and mine remediation: Synthesis of a site-specific restoration framework Save
- Eco-Responsive Potential of Male Bamboo Seedlings Bio Primed with Pseudomonas aeruginosa PB_AQ27 Isolate in Waste Dumpsite Soil Save
- "Innovative approaches in microbial community engineering for food waste management: A comprehensive review" Save
- Micro and mesofauna: Pioneering sustainable solutions for fly ash rejuvenation Save
- Unlocking the hidden power of bamboo rhizomes: A comprehensive review of their role in nutrient storage, water retention, and plant growth Save
- Bamboo as a sustainable crop for land restoration in India: challenges and opportunities Save
- Bamboo biochar: a multifunctional material for environmental sustainability Save
- Clustering Analysis of High-Tech Startups Using Machine Learningh Save
- Functional and Genomic Potential of Burkholderia contaminans PB_AQ24 Isolate for Boosting the Growth of Bamboo Seedlings in Heavy Metal Contaminated Soils Save
- Predicting Mortality Rates: A Regression Approach Save