Dr. Richa Saxena

Employment

• Invertis University Bareilly Uttar Pradesh IN Assistant Professor
  2019 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Novel strategies in carbon capture and utilization: a   chemical perspective
  Zastita Materijala 2025 0 citations DOI: 10.62638/zasmat1262
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• Artificial intelligence for renewable energy strategies and techniques
  Computer Vision and Machine Intelligence for Renewable Energy Systems 2024 2 citations DOI: 10.1016/B978-0-443-28947-7.00002-1
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• Role of nanomaterials in remediating environmental pollutants
  Nanotechnology: A Quick Guide to Materials and Technologies 2024 1 citation DOI: 10.2174/9789815256772124010015
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• POTENTIAL PHARMACOLOGICAL HEALTH BENEFITS OF FLAVONOIDS
  AAP Advances in Nutraceuticals: The Flavonoids: Extraction and Applications 2024 3 citations DOI: 10.1201/9781003399964-9
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• Nutrients for cognitive function
  Causes and Management of Nutritional Deficiency Disorders 2024 0 citations DOI: 10.4018/979-8-3693-2947-4.ch018
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• Heavy metal bioaccumulation in Food Chains and Health Risks
  Biosorption Processes for Heavy Metal Removal 2024 2 citations DOI: 10.4018/979-8-3693-1618-4.ch012
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• Harnessing computational biology to address antibacterial drug resistance
  Frontiers in Combating Antibacterial Resistance: Current Perspectives and Future Horizons 2024 0 citations DOI: 10.4018/979-8-3693-4139-1.ch007
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• Green Synthesis of Organic Nanomaterials and Their Applications
  Biogenic Wastes-Enabled Nanomaterial Synthesis: Applications in Environmental Sustainability 2024 2 citations DOI: 10.1007/978-3-031-59083-2_7
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• Future perspectives of wastewater treatment
  Biotechnologies for Wastewater Treatment and Resource Recovery: Current Trends and Future Scope 2024 3 citations DOI: 10.1016/B978-0-443-27376-6.00019-0
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• Bioenergy prediction using computer vision and machine intelligence: modeling and optimization of bioenergy production
  Computer Vision and Machine Intelligence for Renewable Energy Systems 2024 1 citation DOI: 10.1016/B978-0-443-28947-7.00008-2
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