AS
Arun Lal Srivastav
Also known as: ARUN
Tulas University, Chitkara University, Himachal Pradesh, Indian Institute of Technology BHU Varanasi, Chitkara University - Himachal Pradesh
About
Presently, I am working as Professor and Associate Dean (Research) at Tulas University, Dehradun, Uttarakhand (India).
Research interest (usually I write review papers):
1. Adsorption of contaminants (arsenic, nitrate, fluoride, heavy metals) from water.
2. Development of low cost biosorbents, biochar
3. Phyto-remediation
4. Climate change
5. Agro-waste management
6. Agro-chemicals
7. Leachate treatment
8. Microplastic pollution in water
Employment
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Tulas University Professor and Associate Dean (Research)2026 - Present
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Chitkara University, Himachal Pradesh Associate Professor2023 - 2026
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Chitkara University - Himachal Pradesh Assistant Professor2017 - 2023
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National Chung Hsing University Post Doctoral Fellow2014 - 2014
Education
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Indian Institute of Technology BHU Varanasi Ph.D.2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (165)
- An overview on future aspects of low-cost biochar adsorbents for dyes removal from water Save
- Evaluation of a Novel Organic–Microbial Nutrient Medium for Enhancing Growth, Flowering, and Soil Health in Marigold (Tagetes erecta L.) cv. Pusa Basanti Save
- Barriers and strategies of smart factory evolution in industry 4.0: an empirical study Save
- AI-Driven Technologies in Mitigation of Microplastic Pollution Save
- Digital Twin Technology for Sustainable Agriculture: Applications, Implementation and Future Trends Save
- Digital Twins in Sustainable Agriculture in Precision Irrigation and Water Management: Challenges and Future Perspectives Save
- Evolutionary Dynamics and the Global Spread of Antimicrobial Resistance: Mechanisms, Origins, and Future Challenges Save
- Generative AI for Remote Sensing of the Environment: Algorithms and Applications Save
- Modelling the Future: Digital Twins in Sustainable and Climate-Aware Farming Save
- Practical Implementation of Digital Twins in Agriculture: Case Studies and Future Directions Save