AnjaniKumar S V Brahmandam
CEA Cadarache, Human Frontier Collective- Scale AI, Indian Institute of Technology Kharagpur, University of Hyderabad, Andhra University
About
Driven and high-spirited Researcher with over five years of experience in environmental science and engineering, specializing in bioremediation of post-mining sites. Proven expertise in executing and analyzing large-scale remediation projects, including high-profile initiatives at Tata Steel BSL (Angul, Odisha) and Rashmi Metalliks (Kharagpur, West Bengal), with a focus on sustainable environmental practices and research into the impact of meteorological parameters on remediation processes. Strong academic background with a Gold Medal in B.Sc. and extensive research in plant biology, biotechnology, and environmental remediation.
Ecological restoration is something that is very close to my heart, as it is not just research for me; it goes beyond, and I feel a deep personal connection with nature. That makes me feel happy at the end of the day. If research is all about pursuing your passion, then I'm following my passion!
Employment
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CEA Cadarache Research Engineer2026 - Present
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Human Frontier Collective- Scale AI Subject Matter Expert- Freelance2025 - Present
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Indian Institute of Technology Kharagpur Research Scholar2019 - 2025
Education
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Indian Institute of Technology Kharagpur PhD (Doctor of Philosophy)2019 - 2025
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University of Hyderabad M.Sc (Master of Science)2017 - 2019
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Andhra University B.Sc (Bachelor of Science)2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Panchagavya-enhanced microbial biodegradation of steel slag: A sustainable phytoremediation approach Save
- Assessment of coastal litter trends in tourist vs. non-tourist beaches: A case study from Indian coastal smart city Save
- From slag to green: Aided-phytoremediation as a sustainable tool to rehabilitate land contaminated by steel slag and assessment of CO2 sequestration Save
- Assessment and estimation of coal dust impact on vegetation using VIs difference model and PRISMA hyperspectral data in mining sites Save
- Detection and mapping of vegetation stress using AVIRIS-NG hyperspectral imagery in coal mining sites Save