SUNIL KUMAR SRIVASTAVA

@juet.ac.in

Assistant Professor , Department of Chemistry
Jaypee University of Engineering & Technology

SUNIL KUMAR SRIVASTAVA


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https://researchid.co/sunil444
Working in the area of Climate Change through GIS Remote Sensing and looking for an efficient source of Energy.

EDUCATION

Ph.D. (Jawaharlal Nehru University JNU)

RESEARCH INTERESTS

Water Resource, Energy and Environment

FUTURE PROJECTS

Carbon Footprint and Energy


Applications Invited
18

Scopus Publications

1469

Scholar Citations

19

Scholar h-index

28

Scholar i10-index

Scopus Publications

  • Modeling for Copper Recovery from E-Waste by Using Machine Learning Technique: An Approach for the Circular Economy
    Sunil Kumar Srivastava, Rahul Shrivastava
    Current Analytical Chemistry, 2026
    Background: Copper, a precious metal in e-waste, presents a substantial economic opportunity. The study estimates that ~322000 tons of copper are discarded annually worldwide as ewaste. Given the significant financial value of copper, its recovery from e-waste is beneficial and crucial. This process also plays a pivotal role in waste management and recycling hazardous waste. The potential reduction in e-waste in landfills is a direct result of this strategic approach to waste management, offering a more sustainable and optimistic outlook for the future. This research paves the way for a future where e-waste is no longer a burden on our environment. Methodology: This study is structured around a robust two-step process. It begins with an experiment focused on copper recovery using hydrometallurgical methods. The modeling leverages the power of artificial intelligence (AI) and machine learning techniques to predict copper recovery from e-waste. This innovative approach not only promises but also has the potential to revolutionize the field of copper recovery, inspiring further innovation and progress. Results: The model was developed using an Artificial Neural Network (ANN) and a Boosting Algorithm (BA). Based on four crucial variables (H2SO4, H2O2, Solid/Liquid ratio, and Reaction Time), this model provides a comprehensive understanding of Cu recovery. H2SO4 is a crucial component during the leaching process; H2O2 facilitates Cu oxidation, the Solid/Liquid ratio affects the efficiency, and Reaction Time determines the completion of the process. The ANN and BA-based models yield satisfactory results in Cu recovery, achieving over 94% yield under optimized conditions. Conclusion: The model developed in this study can potentially revolutionize copper recovery. By automating the process, we can significantly reduce the stress of copper mining, which relieves the environment. We can also promote a circular economy, offering a promising future for sustainable copper recovery. This could be a game-changer in the field of waste management and recycling.
  • Data-driven approach for synthesizing, characterization, and experimental investigation of biomass-based plastic
    Sunil Kumar Srivastava, Kedari Lal Dhaker
    Next Materials, 2025
    Climate change, an urgent and significant concern in our current stage of human civilization, is exacerbated by the role of synthetic plastic and polymers. Their petrochemical-based synthesis and non-biodegradable nature pose alarming threats. Synthetic polymers, including plastic, are known to be dangerous materials that impact human civilization in various ways. The irreversible covalent crosslink in polymer imparts better mechanical properties (thermal and chemical resistance), reducing the possibility of recycling and reusing chemically synthesized polymer. The study reports that ∼60000 plastic bags are used every 5 seconds. The need to address the detrimental impacts of polymer biomass-based plastic materials is urgent. These materials offer a more sustainable alternative with their superior quality and biodegradability. This research utilizes soya waste to develop sustainable environmental biomaterials, emphasizing the pressing need for immediate action to combat plastic pollution. This article presents an innovative, data-driven approach for synthesizing, characterizing, and experimentally investigating biomass-based plastic. The use of cutting-edge Artificial Intelligence (AI) based tools like Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), as well as statistical approach Response Surface Methodology (RSM), were adopted in this research work, marking a novel and exciting development in the field. These tools were used to develop a model that automates synthesizing biomass-based plastic. The data validation indicates a mean absolute error in water absorption of ∼1.40 % while in methanol, 0.87 %. The synthesized soy-based bioplastic was analyzed instrumentally through FTIR, DTA, and TGA, which yielded satisfactory results. Other physical properties like solubility, biodegradability, and chemical reactivity were also studied in the laboratory. The combination of soy, corn, glycerol, vinegar, and water was optimized using the Response Surface Methodology (RSM). This unique combination was chosen for its potential to produce a high-quality, biodegradable biomass-based plastic, thereby contributing to the development of sustainable materials. • AI based tools (ANFIS and ANN) were used to upgrade the experimental findings. • Biomass-based plastic was characterized by using FTIR, DTA, and TGA. • The characterization yielded highly satisfactory results. • Physical properties upgraded and can be modified by adding some additive material. • Soy, corn, glycerol, vinegar, and water combination were meticulously optimized.
  • Review on Carbon Foot Print in India and South East Asia in Comparison to the World Average in Last Few Centuries
    Sunil Kumar Srivastava, Md. Nazrul Islam
    Springer Climate, 2025
  • Data-driven approach for Cu recovery from hazardous e-waste
    Sunil Kumar Srivastava, Kedari Lal Dhaker
    Process Safety and Environmental Protection, 2024
  • Soil and Environmental Variables Influencing Greenhouse Gas Cycling in an Agroecosystem
    Sunil Kumar Srivastava
    Greenhouse Gas Regulating Microorganisms in Soil Ecosystems Perspectives for Climate Smart Agriculture, 2024
  • Advance mathematical modeling for the delineation of the groundwater potential zone in Guna district, India
    Sunil Kumar Srivastava
    Modeling Earth Systems and Environment, 2023
  • Chemical Speciation and Leaching of Trace Metals in Groundwater from the Depleted Landfills, India
    Sunil Kumar Srivastava
    Journal of the Geological Society of India, 2023
    Abstract The poor groundwater quality through the leaching of contaminants from depleted landfill is a concern to the scientific community. Therefore, the role of landfills on groundwater quality cannot be neglected in an urban area. The factors influencing the leaching of trace metals in groundwater are soil profile, geochemical and environmental condition of disposed of refuse materials, groundwater-table depth, and climatic factors. This research work delineates landfill role in contaminating groundwater through the chemical speciation of trace metals. Analyzed groundwater quality data indicate most of the samples were classified under Ca2+-Na+ type cation and Cl- type of anion hydrogeochemical facies. The investigations of the mineral equilibrium indicate equilibrium with silicate minerals, which favors kaolinite formation. Saturation index indicates that hematite, goethite, chrysotile, dolomite, ferric-hydroxide, hydro-xyapatite, jarosite-K, cerussite, vivianite, and willemite are reactive minerals in the aquifer water and control their hydrogeochemistry. The study of chemical speciation of trace metals indicates the high possibility of oxidation-reduction, ion-exchange, and chemical-weathering reaction mechanism, which causes the release of trace metal ions and further contaminated aquifer water through leaching. It also justifies through study of contaminant movement in vertical profile of the soil. The chemical speciation of trace metals indicates a reducing atmosphere in the aquifer due to the dominance of Fe2+, Mn2+, Zn2+, Pb2+, and Cu2+ ions in aquifer water. Mn2+ and Zn2+ concentration decreases with depth, while Fe2+ and Pb2+ ion concentration low in the middle layer of the aquifer indicate the contribution through anthropogenic input since it is not available in geology of study area.
  • Invasive weed optimization coupled biomass and product dynamics of tuning soybean husk towards lipolytic enzyme
    Vijay Kumar Garlapati, Surendra Kumar Parashar, Sergey Klykov, Pandu Ranga Vundavilli, Surajbhan Sevda, Sunil Kumar Srivastava, Mohammad J. Taherzadeh
    Bioresource Technology, 2022
    Waste to the product approach was proposed for tuning environ-threat soybean husk towards lipolytic enzyme by integrating the invasive weed optimization with biomass and product dynamics study. The invasive weed optimization constitutes based on the non-linear regression model results in a 47 % enhancement in lipolytic enzyme using the optimization parameters of 7% Sigma Final, 9% exponent; Smax of 5 with a population size of 35 and Max. generations of 99. The biomass dynamic study showcases the dynamic parameters of 0.0239 µmax, 8.17 XLimst and 0.852 RFin values. The product dynamic studies reveal the kinetic parameters of kst, kdiv, PFin, which seem to be equal to -0.0338, 0.0896 and 68.1, respectively. Overall, the present study put forth the zero-waste (soybean husk) to the product (lipolytic enzyme) approach by introducing the novel "Invasive Weed Optimization" coupled with "Biomass and product dynamics" to the bioprocessing field.
  • New challenges on natural resources and their impact on climate change in the Indian context
    Sunil Kumar Srivastava
    Springer Climate, 2021
  • Advancement in biogas production from the solid waste by optimizing the anaerobic digestion
    Sunil Kumar Srivastava
    Waste Disposal and Sustainable Energy, 2020
    The crisis of fossil fuel and their negative impact on the environment has caused concern among the scientific communities leading them to look around for renewable sources of energy. This review has emphasized the efficient utilization of organic municipal solid waste as well as agriculture waste in an anaerobic digester for the production of biogas as a sustainable renewable energy. Recent advances in biogas production along with previous research work have been discussed to offer a comprehensive synopsis of the accumulated knowledge. This review also elucidates about the design of an anaerobic digester, the prospect of anaerobic digestion and opportunity in new advances in technology. Biogas is one of the most accepted sustainable renewable energy. The characterization, elimination of contaminants, pretreatment, anaerobic digestion in optimum condition and utilization of energy crops enhanced the efficiency of an anaerobic digester. Pretreatment of segregated organic solid waste increased its putrescibility and further biogas production. The optimized parameters in this review were pH, temperature, loading rate, C/N ratio and solid/liquid ratio of the feedstock. The flow rate of the feedstock was optimized according to the available volume of the digester, residence time and the characteristics of the feedstock. The design of an anaerobic digester should be preferably cylindrical in shape, with a diameter ranging from 6 to 40 m, the depth ranging from 7.5 to 15 m and the conical floor having a slope around 15%. A comprehensive reform in technical, economic, and social policies is essential to accomplish a sustainable energy system considering biogas as a future renewable energy. The flowsheet of the biogas and methanol production has been given in Fig. 1 . Fig. 1 Flowsheet of the biogas and methanol production
  • Assessment of groundwater quality for the suitability of irrigation and its impacts on crop yields in the Guna district, India
    Sunil Kumar Srivastava
    Agricultural Water Management, 2019
  • Geochemical assessment of fluoride enrichment and nitrate contamination in groundwater in hard-rock aquifer by using graphical and statistical methods
    Sunil Kumar Srivastava, A L Ramanathan
    Journal of Earth System Science, 2018
  • Assessment of landfills vulnerability on the groundwater quality located near floodplain of the perennial river and simulation of contaminant transport
    Sunil Kumar Srivastava, AL Ramanathan
    Modeling Earth Systems and Environment, 2018
  • Engineering aspects of immobilized lipases on esterification: A special emphasis of crowding, confinement and diffusion effects
    Surendra Kumar Parashar, Sunil Kumar Srivastava, N. N. Dutta, Vijay Kumar Garlapati
    Engineering in Life Sciences, 2018
  • An assessment of the hydrogeochemistry of two wetlands located in Bihar State in the subtropical climatic zone of India
    Ravi Ranjan, Sunil Kumar Srivastava, A. L. Ramanathan
    Environmental Earth Sciences, 2017
  • Geochemical assessment of groundwater quality in vicinity of Bhalswa landfill, Delhi, India, using graphical and multivariate statistical methods
    Sunil Kumar Srivastava, A. L. Ramanathan
    Environmental Geology, 2008
  • Hydrogeochemical studies around the bhalswa landfill in Delhi, India
    Groundwater for Sustainable Development Problems Perspectives and Challenges, 2008
  • Metal fractionation studies in surfacial and core sediments in the Achankovil River basin in India
    M. Bala Krishna Prasad, A. L. Ramanathan, Sunil Kr. Shrivastav, Anshumali, Rajinder Saxena
    Environmental Monitoring and Assessment, 2006

RECENT SCHOLAR PUBLICATIONS

  • Optimization Of Fast-Charging Lithium-Ion Battery Systems Using Generative Ai Models A Data-Driven Approach To Energy Efficiency And Thermal Management
    SK Srivastava, R Ratlavath, JT Abraham, A Airan, DG Chowdhury, ...
    INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 1158-1172 , 2026
    2026
  • Sustainable Pathways for Post-Life Lithium-Ion Batteries: Evaluation, Recycling, and Reuse toward a Circular Economy
    S Bhatt, SK Srivastava, YA Kumar, U Kumar, RN Rai, D Kumari, ...
    Next Research, 101524 , 2026
    2026
    Citations: 1
  • Machine Learning On Structural Vibration Time-Series Signals For Structural Stability Prediction And Seismic Performance Evaluation
    VN Nirgude, A Majid, P Vasanthi, RK Upadhyay, A Gupta, SK Srivastava
    INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 836-847 , 2026
    2026
  • Modeling for copper recovery from E-waste by using machine learning technique: An approach for the circular economy
    SK Srivastava, R Shrivastava
    Current Analytical Chemistry 22 (2), 266-282 , 2026
    2026
    Citations: 10
  • Methods and devices for detecting a pathogen and its molecular components
    DK Ban, R Lal, G Glinskii, PR Bandaru, S Srivastava, S John, T Bodily, ...
    US Patent App. 19/322,486 , 2026
    2026
  • Advances in Synthesis and Characterization of Bionanomaterials by Using Artificial Intelligence and Machine Learning Techniques: A Critical Review
    SK Srivastava, KL Dhaker, M Dubey
    Next Research, 101257 , 2025
    2025
    Citations: 3
  • Methods and devices for detecting a pathogen and its molecular components
    DK Ban, R Lal, G Glinskii, PR Bandaru, S Srivastava, S John, T Bodily, ...
    US Patent 12,411,135 , 2025
    2025
  • Review on Carbon Foot Print in India and South East Asia in Comparison to the World Average in Last Few Centuries
    SK Srivastava, MN Islam
    India III: Climate Change and Landscape Issues in India: A Cross … , 2025
    2025
    Citations: 1
  • Assessing Surgical Competency among Fellows in Vitreoretinal Surgery: A Survey of Fellowship Program Directors and Fellows
    M Hassan, K Mishra, L Amarikwa, OP Gupta, S Srivastava, AW Scott, ...
    Ophthalmology Retina 9 (7), 699-708 , 2025
    2025
  • Data-driven approach for synthesizing, characterization, and experimental investigation of biomass-based plastic
    SKSK lal Dhaker
    Next Material 8, 100596 , 2025
    2025
    Citations: 2
  • ASSESSING SURGICAL COMPETENCY AMONG FELLOWS IN VITREORETINAL SURGERY
    M HASSAN, K MISHRA, L AMARIKWA, OP GUPTA, S SRIVASTAVA, ...
    OPHTHALMOLOGY , 2025
    2025
  • Soil and Environmental Variables Influencing Greenhouse Gas Cycling in an Agroecosystem
    SK Srivastava
    Greenhouse Gas Regulating Microorganisms in Soil Ecosystems: Perspectives … , 2024
    2024
    Citations: 3
  • Methods and devices for detecting a pathogen and its molecular components
    DK Ban, R Lal, G Glinskii, PR Bandaru, S Srivastava, S John, T Bodily, ...
    US Patent 11,946,931 , 2024
    2024
    Citations: 1
  • Data-driven approach for Cu recovery from hazardous e-waste
    SK Srivastava, KL Dhaker
    Process Safety and Environmental Protection 183, 665-675 , 2024
    2024
    Citations: 20
  • Corrigendum to “Retinal Vasculitis After Intravitreal Pegcetacoplan: Report From the ASRS Research and Safety in Therapeutics (ReST) Committee”
    AJ Witkin, GJ Jaffe, SK Srivastava
    Journal of VitreoRetinal Diseases 8 (3), 363 , 2024
    2024
  • Optimization of Copper Recovery from e-waste by using RSM and ANN
    SKSR Shrivastava
    World Envionment Summit 2023 4 (1) , 2023
    2023
  • Interpretation of fluoride groundwater contamination in Tamnar area, Raigarh, Chhattisgarh, India
    MK Beg, N Kumar, SK Srivastava, EJM Carranza
    Earth 4 (3), 626-654 , 2023
    2023
    Citations: 20
  • Advanced Approach towards Zero Waste: Modeling of Copper Recovery from e-Waste by Using Machine Learning Technique
    SK Srivastava, RK Shrivastava
    2023
    Citations: 2
  • AI for improving justice delivery: international scenario, potential applications & way forward for India
    SK Srivastava
    Informatica 47 (5) , 2023
    2023
    Citations: 16
  • Chemical Speciation and Leaching of Trace Metals in Groundwater from the Depleted Landfills, India
    SK Srivastava
    Journal of Geological Society of India 99 (4), 554-562 , 2023
    2023
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Geochemical assessment of groundwater quality in vicinity of Bhalswa landfill, Delhi, India, using graphical and multivariate statistical methods
    SK Srivastava, AL Ramanathan
    Environmental Geology 53 (7), 1509-1528 , 2008
    2008
    Citations: 313
  • Vesicular arbuscular mycorrhiza—an overview
    D Srivastava, R Kapoor, SK Srivastava, KG Mukerji
    Concepts in mycorrhizal research, 1-39 , 1996
    1996
    Citations: 121
  • Adoption of electronic health records: a roadmap for India
    SK Srivastava
    Healthcare informatics research 22 (4), 261-269 , 2016
    2016
    Citations: 117
  • Assessment of groundwater quality for the suitability of irrigation and its impacts on crop yields in the Guna district, India
    SK Srivastava
    Agricultural Water Management 216, 224-241 , 2019
    2019
    Citations: 80
  • Fine root growth dynamics in teak ( Tectona grandis Linn. F.)
    SK Srivastava, KP Singh, RS Upadhyay
    Canadian Journal of Forest Research 16 (6), 1360-1364 , 1986
    1986
    Citations: 76
  • Advancement in biogas production from the solid waste by optimizing the anaerobic digestion
    SK Srivastava
    Waste Disposal & Sustainable Energy, https://doi.org/10.1007/s42768-020-00036 , 2020
    2020
    Citations: 75
  • Rapid self-test of unprocessed viruses of SARS-CoV-2 and its variants in saliva by portable wireless graphene biosensor
    DK Ban, T Bodily, AG Karkisaval, Y Dong, S Natani, A Ramanathan, ...
    Proceedings of the National Academy of Sciences 119 (28), e2206521119 , 2022
    2022
    Citations: 72
  • Metal fractionation studies in surfacial and core sediments in the Achankovil river basin in India
    MBK Prasad, AL Ramanathan, SK Shrivastav, Anshumali, R Saxena
    Environmental monitoring and assessment 121 (1), 77-102 , 2006
    2006
    Citations: 67
  • Geochemical assessment of fluoride enrichment and nitrate contamination in groundwater in hard-rock aquifer by using graphical and statistical methods
    SK Srivastava, AL Ramanathan
    Journal of earth system science 127 (7), 104 , 2018
    2018
    Citations: 51
  • High-intensity sweetener-polyol compositions
    S Srivastava
    US Patent App. 11/073,025 , 2005
    2005
    Citations: 41
  • Apparatus and method of retaining and releasing molecules from nanostructures by an external stimulus
    S Srivastava, A Quist
    US Patent App. 12/403,222 , 2009
    2009
    Citations: 32
  • Lactic Acid Production from Cane Molasses by Lactobacillus delbrueckii NCIM 2025 in Submerged Condition: Optimization of Medium Component by Taguchi DOE …
    SM Bhatt, SK Srivastava
    Food biotechnology 22 (2), 115-139 , 2008
    2008
    Citations: 29
  • An assessment of the hydrogeochemistry of two wetlands located in Bihar State in the subtropical climatic zone of India
    R Ranjan, SK Srivastava, AL Ramanathan
    Environmental Earth Science 76 (1), 1-17 , 2016
    2016
    Citations: 28
  • Assessment of landfills vulnerability on the groundwater quality located near floodplain of the perennial river and simulation of contaminant transport
    SK Srivastava, AL Ramanathan
    Modeling Earth Systems and Environment 4 (2), 729-752 , 2018
    2018
    Citations: 26
  • Method for the purification of sucralose
    G Liesen, S Srivastava
    US Patent App. 11/336,399 , 2006
    2006
    Citations: 22
  • Engineering aspects of immobilized lipases on esterification: A special emphasis of crowding, confinement and Diffusion effects
    VKG Surendra Kumar Parashar, Sunil Kumar Srivastava, N. N. Dutta
    Engineering in Life Sciences , 2018
    2018
    Citations: 21
  • Engineering aspects of immobilized lipases on esterification: A special emphasis of crowding, confinement and Diffusion effects
    SK Parashar, SK Srivastava, NN Dutta, VK Garlapati
    Engineering in Life Science DOI: 10.1002/elsc.201700082, 1-9 , 2018
    2018
    Citations: 21
  • Dietary adequacy in Asian Indians with HIV
    N Wig, SP Bhatt, A Sakhuja, S Srivastava, S Agarwal
    AIDS care 20 (3), 370-375 , 2008
    2008
    Citations: 21
  • Data-driven approach for Cu recovery from hazardous e-waste
    SK Srivastava, KL Dhaker
    Process Safety and Environmental Protection 183, 665-675 , 2024
    2024
    Citations: 20
  • Interpretation of fluoride groundwater contamination in Tamnar area, Raigarh, Chhattisgarh, India
    MK Beg, N Kumar, SK Srivastava, EJM Carranza
    Earth 4 (3), 626-654 , 2023
    2023
    Citations: 20