Vinay Kumar

ORCID: 0000-0003-0594-0459
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About
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Research Areas
  • Extraction and Separation Processes
  • Metal Extraction and Bioleaching
  • Recycling and Waste Management Techniques
  • Adsorption and biosorption for pollutant removal
  • Minerals Flotation and Separation Techniques
  • Chromium effects and bioremediation
  • Mineral Processing and Grinding
  • Heavy metals in environment
  • Geochemistry and Elemental Analysis
  • Radioactive element chemistry and processing
  • Analytical chemistry methods development
  • Bauxite Residue and Utilization
  • Arsenic contamination and mitigation
  • Metallurgical Processes and Thermodynamics
  • Advancements in Battery Materials
  • Environmental remediation with nanomaterials
  • Nanomaterials for catalytic reactions
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Malware Detection Techniques
  • Mercury impact and mitigation studies
  • Heavy Metal Exposure and Toxicity
  • Advanced materials and composites
  • Wastewater Treatment and Reuse
  • Electrodeposition and Electroless Coatings
  • Nanoparticles: synthesis and applications

Saveetha University
2024

University B.T. & Evening College
2022-2023

University of Delhi
2022-2023

Babasaheb Bhimrao Ambedkar University
2018-2023

National Institute of Technology Jamshedpur
2012-2023

Forest Survey of India
2023

Rama University
2021

National Metallurgical Laboratory
2002-2018

Chanakya National Law University
2012

Jadavpur University
2002

Chromium used in the electro plating and tanning industries causes environmental pollution through generation of effluent. Various methods such as precipitation–flocculation coupled with pre/post-oxidation, reduction, concentration are often employed to control pollution. Though these techniques, referred “removal–disposal,” serve purpose satisfying water norms, they produce solid residues containing Cr(OH)3 sludges, which usually dumped landfill. Besides possibility mobility metal Cr(VI) by...

10.1080/08827500600563319 article EN Mineral Processing and Extractive Metallurgy Review 2006-03-10

Plant biochars were prepared by slow pyrolysis of Mentha plant waste to remove cationic dye methylene blue (MB) from aqueous solution. The characterized X-Ray diffraction, IR-spectroscopy, thermogravimetric analysis, scanning electron microscope, cyclic voltammetry (CV), Brunauer-Emmett-Teller and zeta potential analyzer. Adsorption isotherms kinetics applied on the MB removal showed monolayer chemisorption dye. Present investigation revealed that was due synergistic action coupled with...

10.1080/01496395.2019.1580732 article EN Separation Science and Technology 2019-03-04

Abstract Background In order to conserve resources without affecting the environment, an energy efficient leaching process has been studied recover platinum group metals ( PGMs ) from spent automotive catalyst using electro‐generated chlorine as a strong oxidant in separate reactor . Results The different parameters showed increase dissolution of (Pt, Pd, Rh) with HCl concentration, current density, time, and temperature but not pulp density. Leaching efficiencies 71% Pt, 68% Pd 60% Rh were...

10.1002/jctb.4057 article EN Journal of Chemical Technology & Biotechnology 2013-02-13

In cloud computing, the services are observed in video stream and clustering their pixels is initial task service detection. Tracking practice to observe or tracking moments of a given item each frame. Numerous false positives included Using saliency map model Extended Kalman Filter, proposed approach can recognize track moving objects video. The tracked using an Filter. research evaluation based on delay accuracy parameter. Finally, suggested method compared existing object methods, with...

10.1080/09720529.2022.2072436 article EN Journal of Discrete Mathematical Sciences and Cryptography 2022-05-19

Uncontrolled cell growth in the two spongy lung organs chest is most prevalent kind of cancer. When cells from lungs spread to other tissues and organs, this referred as metastasis. This work uses image processing, deep learning, metaheuristics identify cancer its early stages. At point, a new convolutional neural network constructed. The predator technique has potential increase architecture accuracy. Deep learning identified spinal metastases energy consumption increased CT readings for...

10.1155/2023/9739264 article EN cc-by Computational Intelligence and Neuroscience 2023-01-01
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