A5004364998- Microbial Fuel Cells and Bioremediation
- Electrochemical sensors and biosensors
- Supercapacitor Materials and Fabrication
- Electrochemical Analysis and Applications
- Membrane-based Ion Separation Techniques
- Analytical Chemistry and Sensors
- Water-Energy-Food Nexus Studies
- Extraction and Separation Processes
- Electrocatalysts for Energy Conversion
- Wastewater Treatment and Nitrogen Removal
- Microbial Community Ecology and Physiology
- Vaccine Coverage and Hesitancy
- Misinformation and Its Impacts
- Fuel Cells and Related Materials
- Advanced battery technologies research
- Influenza Virus Research Studies
- Laser Material Processing Techniques
- Constructed Wetlands for Wastewater Treatment
- Gene expression and cancer classification
- Advanced oxidation water treatment
- Hate Speech and Cyberbullying Detection
- Advanced Photocatalysis Techniques
- Advanced Machining and Optimization Techniques
- Conducting polymers and applications
- Membrane Separation Technologies
University of Massachusetts Amherst
2023-2025
Indian Institute of Technology Guwahati
2024
Université Laval
2021-2023
University of Toronto
2017-2023
IITB-Monash Research Academy
2013-2021
Indian Institute of Technology Bombay
2013-2021
Monash University
2016-2021
In recent years, there has been a significant accumulation of waste in the environment, and it is expected that this may increase years to come. Waste disposal massive effects on environment can cause serious environmental problems. Thus, development treatment system major importance. Agro-industrial wastewater residues are mainly rich organic substances, lignocellulose, hemicellulose, lignin, they have relatively high amount energy. As result, an effective agro-waste several benefits,...
Electro-fermentation (EF) is an upcoming technology that can control the metabolism of exoelectrogenic bacteria (i.e., transfer electrons using extracellular mechanism). The fermenter consists electrodes act as sink and source for production movement protons, thus generating electricity producing valuable products. conventional process fermentation has several drawbacks restrict their application economic viability. Additionally, metabolic reactions taking place in traditional fermenters are...
The use of platinum (Pt) catalysts in air cathode for microbial fuel cells (MFCs) is expensive and limiting the adoption MFCs power generation from wastewaters. In this study, we propose an innovative approach fabrication a carbon paper/copper-polyaniline (CP/PANi-Cu) hybrid which can be employed as relatively inexpensive effective MFCs. CP/PANi-Cu composed uniform layer strong adhesion PANi-Cu to CP enables significant oxygen reduction reaction (ORR). Consequently, composite demonstrated...
The main hurdle in leveraging microfluidic advantages membraneless MFCs is their low electrode area-normalized power. For nearly a decade, maximum power densities have remained stagnant, while at the same time macrosystems continue to gather pace. To bridge this growing gap, we showcase strategy that focuses on (i) technology improvements, (ii) establishment of record areal densities, and (iii) presentation different normalization methods complement enable direct comparisons across all MFC...
Bucking the trend toward membraneless microbial fuel cells (MFC), a new approach to grow biocompatible separation membranes between electrodes is demonstrated. The result best performing system for pure culture Geobacter sulfurreducens .
Bringing to light the next generation in sustainable energy, we focus on phototrophic microbial fuel cells. These are broad-spectrum tools that can contribute current and future needs energy production, waste remediation, CO 2 reduction.
Deoxyribo Nucleic Acid (DNA) microarrays are widely used to monitor the expression levels of genes in parallel. It is possible predict human cancer using from a collection DNA samples. Due vast number level, it challenging analyze them manually. In this paper, data mining approach extract prevailing information microarray with help multiresolution analysis tool. Dual Tree M-Band Wavelet Transform (DTMBWT) employed for extraction features given dataset at 2nd level decomposition. K-Nearest...