Senthilmurugan Subbiah

Scopus Publications

"Development of a low-cost portable sequential detection sensor for quantification of fluoride and cyanide in water"
Bijoyendra Sharma, Senthilmurugan Subbiah, Narayanan Selvapalam, Bérengère Lebental
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2026
Advancements of Forward Osmosis in Food Processing Industries
Senthilmurugan Subbiah, Ananya Khasnabis, Sharad K. Gupta
Advancements of Forward Osmosis in Food Processing Industries, 2026
This book provides a comprehensive exploration of forward osmosis (FO) technology and its transformative impact on the food processing industry including fundamental principles, its current applications, and the emerging trends that promise to revolutionize food processing. With detailed case studies, insights from industry experts, and a forward-looking perspective, it guides readers on how to leverage FO technology to improve efficiency and innovation in food processing, leading to better-quality products and reduced operational costs. Key features:  Highlights the potential applications of FO and the fundamentals of FO modelling to make them industrially viable for large-scale applications                                                                                                                 Provides new insight into innovative technologies for product development and process improvement                                                                                                             Discusses detailed cost–benefit analysis (CBA) of FO process, along with comparative analysis with competing technologies                                                                                                          Explains the investment scenarios, return on investment (ROI), global market trends, regulatory considerations, and safety standards                                                                                                                Includes real-world examples and case studies for pratical integration of FO process in liquid food and beverage processing industries                         This book is aimed at industrial professionals, academicians, and graduate students in food processing, membrane technology, and design/optimization.
Poly(glycoluril-formaldehyde) microparticles for remediation of environmental pollutants
Karuppasamy Karpagalakshmi, Pavitra Rajendran, Sudha Sankaran, Ramesh Prakash, Lakshminarayanan Piramuthu, Senthilmurugan Subbiah, Cheng Yang, Narayanan Selvapalam
Bulletin of Materials Science, 2025
Electrically conductive nanomaterial-enhanced membranes for wastewater reclamation: mechanisms and performance insights
Priyamjeet Deka, Bipasha Saikia, Sonali Roy, Kalyan Raidongia, Senthilmurugan Subbiah
Materials Horizons, 2025
This review article discusses membrane technology for wastewater reclamation using electrically conductive nanomaterials (ECNMs) and emphasizes “green synthesis” for nanomaterial manufacturing.
Modelling and simulation of H2-blended NG powered SOFC for heat and power generation applications
Seema Bharati, B. Sai Mukesh Reddy, Subodh Purohit, Ibha Kalita, Dadasaheb J. Shendage, Pankaj Tiwari, Senthilmurugan Subbiah
Applied Energy, 2025
This study presents a detailed modelling and simulation of a Solid Oxide Fuel Cell (SOFC) system powered by hydrogen (H₂) blended with natural gas (NG). The model, validated with experimental data from pure NG operation, predicts system performance with an average error of 1.46 %. Simulations were conducted for two cases of hydrogen blending: before and after the reformer. A 5 % by volume H₂ blend before the reformer increases power generation by 0.9 – 1 % and thermal output by 0.15 %, while post-reformer blending results in a 1.5 – 3 % increase in power generation and a 1.4 % rise in thermal output along with reduced CO 2 emission. The study includes a techno-economic analysis examining the feasibility of blending hydrogen with natural gas in SOFC systems. This analysis assesses both blending strategies' cost implications and potential benefits, providing insights into the economic viability of integrating hydrogen into natural gas for SOFC use. According to the simulation results, to align the energy cost of an SOFC system using pure NG, the hydrogen price should be 0.096 USD/kg. With the SOFC system costing 6015 USD for a 1.5 kW setup, the price of NG per kg ranges from 0.14 to 1.20 USD, resulting in electricity costs between 0.11 and 0.36 USD per kWh. Given the anticipated NG market price in 2024 of 0.89 USD/kg, the estimated power cost is 0.37 USD per kWh, which remains higher than the electricity cost from a diesel generator. In conclusion, this work highlights the potential of H₂ blending to improve SOFC performance and provides a framework for further research in sustainable energy technologies.
A 1-D model for hollow fiber vacuum membrane distillation: Performance and design analysis
Shanmugam Viswanathan, B. Sai Mukesh Reddy, Senthilmurugan Subbiah
Journal of Water Process Engineering, 2025
A Comprehensive Framework for Predictive Maintenance in Solar Photovoltaic Systems Using Contextual Deep Model
Diganta Baruah, Nirban Das, Sonali Chouhan, Senthilmurugan Subbiah
IEEE Access, 2025
This paper presents a framework for early fault prediction as part of predictive maintenance in solar photovoltaic (PV) systems using a context-sensitive deep learning approach. The proposed framework integrates a novel Context-Sensitive Long Short-Term Memory (CS-LSTM) regression model with a Random Forest-based classification module, leveraging both temporal and contextual features such as irradiance, temperature, time of day, and seasonal variations. Supervisory Control and Data Acquisition (SCADA) data from a 10 MW solar PV plant in India is used for model training and evaluation. The regression model estimates AC power under normal conditions, and deviations from actual measurements are flagged as potential faults. Fault classification is performed using a Random Forest model trained on imbalanced data balanced through Synthetic Minority Oversampling Technique (SMOTE), incorporating multiple fault types. Moreover, as a novel concept, an additional "Fault Impending" class has been introduced in order to provide early warning by the Random Forest classification module. Experimental results demonstrate that contextual integration significantly improves prediction accuracy, with the CS-LSTM model achieving an R²-score of 0.9741 and superior RMSE performance over baseline models. The Random Forest classifier attained the highest F1-score (0.992) in fault classification tasks. The framework also successfully predicted several faults up to 2 hours in advance, highlighting its potential for real-time monitoring.
Experimental and Numerical Validation on Instability of Gravity-Driven Shear Thinning Fluid
Shanmugam Viswanathan, Vikash Vashisth, Anugrah Singh, Senthilmurugan Subbiah
Lecture Notes in Mechanical Engineering, 2025
Phenanthridium-based conjugated probe for selective detection of anionic surfactant
Kannan Jamuna, Amal Tom Sebastian, Senthilmurugan Subbiah, Narayanan Selvapalam, Sivakumar Shanmugam
Journal of Surfactants and Detergents, 2025
The quaternary ammonium complex of (2‐(methylthio)indeno[1,2,3‐gh]phenanthridin‐1‐yl)(phenyl)methanone (QAC) has been employed as a new and simple fluorescence sensor for detection of the anionic surfactant; sodium dodecyl sulphate (SDS), through fluorescence light‐up. The generation of electrostatic interaction and associated intermolecular arrangement between the probe and anionic surfactant is responsible for the fluorescence enhancement and subsequent selectivity towards the anionic surfactant. Concurrently, the probe was unaltered by the presence of cationic and non‐ionic systems. Utilizing this property, we were able to construct a facile and efficient method for the detection of anionic surfactants, featuring LOD values up to 1.1 μM concentrations in dimethylsulfoxide solvent. The light‐up detection was also confirmed via lifetime studies, with superior increments in average lifetime decay values (0.33–2.7 ns). The practical/real‐time applications of probe QAC as a sensor have also been investigated and successfully demonstrated via its ability to detect anionic surfactants from commercially available home usage products.
Machine learning to predict the intrinsic membrane parameters in pressure retarded osmosis for an economic salinity gradient power plant
Nahawand AlZainati, Ibrar Ibrar, Ali Braytee, Ali Altaee, Mahedy Hasan Chowdhury, Senthilmurugan Subbiah, John Zhou, Adnan Alhathal Alanezi, Akshaya K. Samal
Journal of Water Process Engineering, 2024
Pressure retarded osmosis (PRO) is highly investigated in the literature as one of the blue energy techniques. The PRO membrane plays a key role in harvesting the osmotic energy from a salinity gradient resource and process optimization. Therefore, a well-selected membrane will improve the power density generated in the PRO process to meet a designed power density threshold required for an economic salinity gradient power plant. In order to select a proper membrane for the PRO process, it is crucial to know its intrinsic properties, such as the membrane water permeability, salt permeability, and structural parameters, that impact the process performance. Determining the membrane's exact intrinsic parameters in a full-scale PRO module is challenging and time-consuming, and assuming constant parameters will compromise the accuracy of the results and power generation in the PRO process. This study employs artificial neural networks and Boosting-based tree models to predict the intrinsic parameters of the PRO membrane based on the minimum theoretical power density that could be predetermined and was assumed to be 5 W/m 2 in this study. The Random Forest and XGBoost algorithms demonstrate superior predictive power (R 2 = 0.97) compared to the other examined machine learning algorithms. The results reveal that machine learning algorithms can provide significant predictive power for the membrane's intrinsic parameters and power density based on the input parameters. Additionally, the algorithms were used to evaluate the feature importance of each input parameter affecting the power density of the pressure retarded osmosis membrane. • 1190 instances and 24 features PRO dataset is collected & analyzed for economic power density. • The model determines the desired membrane performance for economic power density. • The model can help researchers optimize operating conditions. • The reverse salt flux significantly impacted the power output density.
Comparison of Calibration Strategies for a High Sensitivity PEI-Based RF Humidity Sensor
Bernard Bobby Ngoune, Marine Dumon, Balakumara Vignesh, Benoit Bondu, Senthilmurugan Subbiah, Guillaume Perrin, Stéphane Bila, Corinne Dejous, Berengère Lebental, Hamida Hallil
IEEE Sensors Journal, 2024
Multiple staging of pressure retarded osmosis: Impact on the energy generation
Nahawand Al-Zainati, Ibrar Ibrar, Ali Altaee, Senthilmurugan Subbiah, John Zhou
Desalination, 2024
Identification, removal of microplastics and surfactants from laundry wastewater using electrocoagulation method
Naveenkumar Ashok Yaranal, Saket Apparao Kuchibhotla, Senthilmurugan Subbiah, Kaustubha Mohanty
Water Emerging Contaminants and Nanoplastics, 2024
Water Networks for Eco-Industrial Parks with Optimal Trade-offs between Economic and Environmental Aspects
Dinesh Kumar Gautam, Prakash Kotecha, Senthilmurugan Subbiah
Industrial and Engineering Chemistry Research, 2024
Assessment of Ten Standardization-Based Calibration Transfer Techniques for Gas Sensors in a Small Data Context
Balakumara Vignesh Muppidathi, Bernard Bobby Ngoune, Hamida Hallil, Senthilmurugan Subbiah, Bérengère Lebental
IEEE Sensors Journal, 2024
Contextual Approaches to Data-Driven Fault Detection in Solar Photovoltaic System
Diganta Baruah, Ritocheta Roy, Raunak Ahmed, Senthilmurugan Subbiah, Sonali Chouhan, Kumaresan Angappan
IEEE Conference on Evolving and Adaptive Intelligent Systems, 2024
Quantifying the efficacy of Low Impact Developments (LIDs) for flood reduction in micro-urban watersheds incorporating climate change
Amrutha Suresh, Sreeja Pekkat, Senthilmurugan Subbiah
Sustainable Cities and Society, 2023
Recovering electrical energy from forward osmosis process through amorphous silicon oxide crosslinked vanadium pentoxide-reduced graphene oxide membrane
Priyamjeet Deka, Sonali Roy, Tukhar Jyoti Konch, Barsha Rani Bora, Raktim Gogoi, Arindom Bikash Neog, Krishnaraajan Sundararajan, Senthilmurugan Subbiah, Kalyan Raidongia
Chemical Engineering Journal, 2023
An Operational Scheduling Framework for Tanker-Based Water Distribution Systems under Uncertainty
Abhilasha Maheshwari, Shamik Misra, Ravindra Gudi, Senthilmurugan Subbiah, Chrysi Laspidou
Industrial and Engineering Chemistry Research, 2023
Novel Approach to Landfill Wastewater Treatment Fouling Mitigation: Air Gap Membrane Distillation with Tin Sulfide-Coated PTFE Membrane
Abdulaziz Khan, Ibrar Ibrar, Abeer Mirdad, Raed A. Al-Juboori, Priyamjeet Deka, Senthilmurugan Subbiah, Ali Altaee
Membranes, 2023
Fluorescence Sensor for Water in Organic Solvent Using Graphene Oxide- Rhodamine B and Cucurbit[7]uril
Pavitra Rajendran, Radhakrishnan SathishKannan, Karuppasamy Karpagalakshmi, Lakshminarayanan Piramuthu, Erumaipatty R. Nagarajan, Senthilmurugan Subbiah, Cheng Yang, Narayanan Selvapalam
Journal of Fluorescence, 2023
Optimisation of multi-component inorganic salt composition as draw solute for preparation of concentrated tea extract using forward osmosis process
Ananya Bardhan, Senthilmurugan Subbiah, Kaustubha Mohanty
Food and Bioproducts Processing, 2023
Modeling and Experimental Validation for the Preparation of Concentrated Tea Extract Using a Forward Osmosis Process Using a Food-Grade Inorganic Draw Solute
Ananya Bardhan, Senthilmurugan Subbiah, Kaustubha Mohanty
Industrial and Engineering Chemistry Research, 2023
Exploiting Context for Fault Detection in Solar Photovoltaic System using Context-Sensitive Recurrent Neural Network
Diganta Baruah, Senthilmurugan Subbiah, Sonali Chouhan
2023 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Power Electronics Smart Grid and Renewable Energy for Sustainable Development Pesgre 2023, 2023
Performance of a Multiparametric Water Quality Sensor in a Small-Scale Water Distribution Network
Balakumara Vignesh Muppidathi, Stephane Laporte, Yan Ulanowski, Senthilmurugan Subbiah, Berengere Lebental
Proceedings of IEEE Sensors, 2023
Sodium docusate as a cleaning agent for forward osmosis membranes fouled by landfill leachate wastewater
Ibrar Ibrar, Sudesh Yadav, Ali Altaee, Javad Safaei, Akshaya K. Samal, Senthilmurugan Subbiah, Graeme Millar, Priyamjeet Deka, John Zhou
Chemosphere, 2022
Experimental and theoretical work on reverse osmosis - Dual stage pressure retarded osmosis hybrid system
Nahawand Al-Zainati, Senthilmurugan Subbiah, Sudesh Yadav, Ali Altaee, Pietro Bartocci, Ibrar Ibrar, John Zhou, Akshaya K. Samal, Francesco Fantozzi
Desalination, 2022
Feasibility of Poly (Vinyl Alcohol)/Poly (Diallyldimethylammonium Chloride) Polymeric Network Hydrogel as Draw Solute for Forward Osmosis Process
Ananya Bardhan, Senthilmurugan Subbiah, Kaustubha Mohanty, Ibrar Ibrar, Ali Altaee
Membranes, 2022
Development of a comprehensive laminar burning velocity and flame instability profile of refined producer gas (H2:CO:CH4) – Air mixtures at elevated pressures
Muniraja Tippa, Yaswanthram G, Senthilmurugan Subbiah, Chockalingam Prathap
International Journal of Hydrogen Energy, 2022
Performance of novel sericin doped reduced graphene oxide membrane for FO based membrane crystallization application
Priyamjeet Deka, Vishal Kumar Verma, Arunkumar Chandrasekaran, Arindom Bikash Neog, Ananya Bardhan, Kalyan Raidongia, Senthilmurugan Subbiah
Journal of Membrane Science, 2022
Fouling and Performance Investigation of Membrane Distillation at Elevated Recoveries for Seawater Desalination and Wastewater Reclamation
Abdulaziz Khan, Sudesh Yadav, Ibrar Ibrar, Raed A. Al Juboori, Sara Ali Razzak, Priyamjeet Deka, Senthilmurugan Subbiah, Shreyansh Shah
Membranes, 2022
Efficient k-means clustering and greedy selection-based reduction of nodal search space for optimization of sensor placement in the water distribution networks
Dinesh Kumar Gautam, Prakash Kotecha, Senthilmurugan Subbiah
Water Research, 2022
Microplastics in the environment: Sources, pathways, and abundance
Naveenkumar Ashok Yaranal, Senthilmurugan Subbiah, Kaustubha Mohanty
Assessing the Effects of Emerging Plastics on the Environment and Public Health, 2022
Updated review on emerging technologies for PFAS contaminated water treatment
Sudesh Yadav, Ibrar Ibrar, Raed A. Al-Juboori, Lovdeep Singh, Namuun Ganbat, Tayma Kazwini, Elika Karbassiyazdi, Akshaya K. Samal, Senthilmurugan Subbiah, Ali Altaee
Chemical Engineering Research and Design, 2022
Development in forward Osmosis-Membrane distillation hybrid system for wastewater treatment
Ibrar Ibrar, Sudesh Yadav, Osamah Naji, Adnan Alhathal Alanezi, Noreddine Ghaffour, Sébastien Déon, Senthilmurugan Subbiah, Ali Altaee
Separation and Purification Technology, 2022
Impact of hydrodynamic conditions on optimum power generation in dual stage pressure retarded osmosis using spiral-wound membrane
Nahawand AlZainati, Sudesh Yadav, Ali Altaee, Senthilmurugan Subbiah, Syed Javaid Zaidi, John Zhou, Raed A. Al-Juboori, Yingxue Chen, Mohammad Hasan Shaheed
Energy Nexus, 2022
Cole-Cole modeling of real-time capacitance data for estimation of cell physiological properties in recombinant Escherichia coli cultivation
Nivedhitha Swaminathan, Priyanka Priyanka, Anurag S. Rathore, Senthilkumar Sivaprakasam, Senthilmurugan Subbiah
Biotechnology and Bioengineering, 2022
Polymer-based microfiltration/ultrafiltration membranes
Ananya Bardhan, Senthilmurugan Subbiah
Advancement in Polymer Based Membranes for Water Remediation, 2022
Microfiltration and ultrafiltration membrane technologies
Ananya Bardhan, Aanisha Akhtar, Senthilmurugan Subbiah
Advancement in Polymer Based Membranes for Water Remediation, 2022
Stochastic Optimization Model for Short-term Planning of Tanker Water Supply Systems in Urban Areas
A. Maheshwari, S. Misra, R. Gudi, S. Subbiah, C. Laspidou
IFAC Papersonline, 2022
Hydrogeochemical Evaluation of Intermittent Alluvial Aquifers Controlling Arsenic and Fluoride Contamination and Corresponding Health Risk Assessment
Sandip S. Sathe, Chandan Mahanta, Senthilmurugan Subbiah
Exposure and Health, 2021
Evaluation of structural integrity of tubulars in directional wellbores: A case study in north-eastern parts of India
Viswanth Ramba, Senthil Selvaraju, Balakumara Vignesh Muppidathi, Senthilmurugan Subbiah, Muthukumar Palanisamy
Journal of Petroleum Science and Engineering, 2021
Optimization of drilling parameters using improved play-back methodology
Viswanth Ramba, Senthil Selvaraju, Senthilmurugan Subbiah, Muthukumar Palanisamy, Aman Srivastava
Journal of Petroleum Science and Engineering, 2021
Distribution and characterization of microplastics in beach sediments from Karnataka (India) coastal environments
Naveenkumar Ashok Yaranal, Senthilmurugan Subbiah, Kaustubha Mohanty
Marine Pollution Bulletin, 2021
A comprehensive study on laminar burning velocity and flame stability of oxy-producer gas mixtures. Part-2: Laminar burning velocity and Markstein length analysis
Muniraja Tippa, M. Akash, Senthilmurugan Subbiah, Chockalingam Prathap
Fuel, 2021
A comprehensive study on laminar burning velocity and flame stability of oxy-producer gas mixtures. Part-1: Gas mixture composition and flame stability analysis based on Lewis number
Muniraja Tippa, M. Akash, Senthilmurugan Subbiah, Chockalingam Prathap
Fuel, 2021
Modelling, experimental validation and process design of forward osmosis process for sugarcane juice concentration
Aanisha Akhtar, Mandeep Singh, Senthilmurugan Subbiah, Kaustubha Mohanty
Lwt, 2021
Performance evaluation of reduced graphene oxide membrane doped with polystyrene sulfonic acid for forward osmosis process
Priyamjeet Deka, Vishal Kumar Verma, Bonita Yurembam, Arindom Bikash Neog, Kalyan Raidongia, Senthilmurugan Subbiah
Sustainable Energy Technologies and Assessments, 2021
Sugarcane juice concentration using a novel aquaporin hollow fiber forward osmosis membrane
Aanisha Akhtar, Mandeep Singh, Senthilmurugan Subbiah, Kaustubha Mohanty
Food and Bioproducts Processing, 2021
Identification, extraction of microplastics from edible salts and its removal from contaminated seawater
Naveenkumar Ashok Yaranal, Senthilmurugan Subbiah, Kaustubha Mohanty
Environmental Technology and Innovation, 2021
Facile preparation of nanocellulose embedded polypyrrole for dye removal: unary and binary process optimization and seed toxicity
S. Tasrin, S. Mohamed Madhar Fazil, S. Senthilmurugan, N. Selvaraju
International Journal of Environmental Science and Technology, 2021
Carbonization using an Improved Natural Draft Retort Reactor in India: Comparison between the performance of two woody biomasses, Prosopis juliflora and Casuarina equisetifolia
Arunkumar Chandrasekaran, Senthilmurugan Subbiah, Pietro Bartocci, Haiping Yang, Francesco Fantozzi
Fuel, 2021
Optimization of pressure retarded osmosis process and estimation of Indian blue energy capacity
Habtom Teklu Aseffa, Dinesh Kumar Gautam, Senthilmurugan Subbiah
Desalination, 2021
Application of Membrane Technology in Food-Processing Industries
Ananya Bardhan, Senthilmurugan Subbiah, Kaustubha Mohanty
Food Processing Advances in Thermal and Non Thermal Technologies Two Volume Set, 2021
Oil well drilling activities recognition using a hierarchical classifier
Achyut Mani Tripathi, Rashmi DuttaBaruah, Senthilmurugan Subbiah
Journal of Petroleum Science and Engineering, 2021
Perspectives and state of the art in producing solar fuels and chemicals from CO2
Eid Gul, Pietro Elia Campana, Arunkumar Chandrasekaran, Senthilmurugan Subbiah, Haiping Yang, Qing Yang, Jinyue Yan, Hailong Li, Umberto Desideri, Linda Barelli, Gianni Bidini, Francesco Fantozzi, Ikram Uddin, Asif Hayat, Khalideh Al bkoor Alrawashdeh, Pietro Bartocci
Advanced Technology for the Conversion of Waste into Fuels and Chemicals Volume 2 Chemical Processes, 2021
Multiobjective Optimization for Enhanced Production of Therapeutic Proteins in Escherichia coli: Application of Real-Time Dielectric Spectroscopy
Nivedhitha Swaminathan, Priyanka Priyanka, Anurag S. Rathore, Senthilkumar Sivaprakasam, Senthilmurugan Subbiah
Industrial and Engineering Chemistry Research, 2020
Distributed parameter system modeling approach for the characterization of a high flux hollow fiber forward osmosis (HFFO) membrane
Kranthi Kumar Munubarthi, Dinesh Kumar Gautam, K. Anki Reddy, Senthilmurugan Subbiah
Desalination, 2020
Performance analysis of a single and multi-staged direct contact membrane distillation module integrated with heat recovery units
Neelam Dutta, Bharat Singh, Senthilmurugan Subbiah, P. Muthukumar
Chemical Engineering Journal Advances, 2020
A robust anomaly detection methodology using predicted hookload and neutral point for oil well drilling
Viswanth Ramba, Senthil Selvaraju, Senthilmurugan Subbiah, Muthukumar Palanisamy
Journal of Petroleum Science and Engineering, 2020
Coupling strategy of multi-module high temperature solid sensible heat storage system for large scale application
K. Vigneshwaran, Gurpreet Singh Sodhi, Anurag Guha, P. Muthukumar, Senthilmurugan Subbiah
Applied Energy, 2020
Modelling and experimental validation of osmotic driven energy efficient process for tea solution concentration
Ananya Bardhan, Senthilmurugan Subbiah, Kaustubha Mohanty
Environmental Technology and Innovation, 2020
Sugarcane juice clarification by lanthanum phosphate nanofibril coated ceramic ultrafiltration membrane: PPO removal in absence of lime pre-treatment, fouling and cleaning studies
Aanisha Akhtar, Senthilmurugan Subbiah, Kaustubha Mohanty, R. Sundar, R. Unnikrishnan, U.S. Hareesh
Separation and Purification Technology, 2020
Adsorptive removal of Ciprofloxacin and Amoxicillin from single and binary aqueous systems using acid-activated carbon from Prosopis juliflora
Arunkumar Chandrasekaran, Chandi Patra, Selvaraju Narayanasamy, Senthilmurugan Subbiah
Environmental Research, 2020
Optimization of backwash parameters for hollow fiber membrane filters used for water purification
Shubham Sangrola, Avinash Kumar, S. Nivedhitha, Jaideep Chatterjee, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Journal of Water Supply Research and Technology Aqua, 2020
Analysis of reverse osmosis process in hollow fiber module with and without secondary permeate outlet
Dinesh Kumar Gautam, Habtom Teklu, Senthilmurugan Subbiah
Journal of Water Process Engineering, 2020
Multivariate optimisation of Cr (VI), Co (III) and Cu (II) adsorption onto nanobentonite incorporated nanocellulose/chitosan aerogel using response surface methodology
Tasrin Shahnaz, Vivek Sharma, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Journal of Water Process Engineering, 2020
Packed bed column studies of hexavalent chromium adsorption by zinc chloride activated carbon synthesized from Phanera vahlii fruit biomass
Abhishek Ajmani, Chandi Patra, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Journal of Environmental Chemical Engineering, 2020
New Insights into the Remediation of Water Pollutants using Nanobentonite Incorporated Nanocellulose Chitosan Based Aerogel
Vivek Sharma, Tasrin Shahnaz, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Journal of Polymers and the Environment, 2020
A Short-Term Planning Framework for the Operation of Tanker-Based Water Distribution Systems in Urban Areas
Abhilasha Maheshwari, Shamik Misra, Ravindra D. Gudi, Senthilmurugan Subbiah
Industrial and Engineering Chemistry Research, 2020
Comparative assessment of raw and acid-activated preparations of novel Pongamia pinnata shells for adsorption of hexavalent chromium from simulated wastewater
Chandi Patra, Tasrin Shahnaz, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Environmental Science and Pollution Research, 2020
An analysis of the effects of pressure-assisted osmotic backwashing on the high recovery reverse osmosis system
Naveenkumar Ashok Yaranal, Sneha Kumari, Selvaraju Narayanasamy, Senthilmurugan Subbiah
Journal of Water Supply Research and Technology Aqua, 2020
Axial flow hollow fiber forward osmosis module analysis for optimum design and operating conditions in desalination applications
Habtom Teklu, Dinesh Kumar Gautam, Senthilmurugan Subbiah
Chemical Engineering Science, 2020
Fluid to liquid membrane energy exchanger for simultaneous liquid desiccant regeneration and desalination applications–Theoretical and experimental analyses
B. Kiran Naik, Bharat Singh, Neelam Dutta, Senthilmurugan Subbiah, P. Muthukumar
Energy Conversion and Management, 2020
Dehydration of acetic acid using layered graphene oxide (GO) membrane through forward osmosis (FO) process: a molecular dynamics study
Abhijit Gogoi, K. Anki Reddy, S. Senthilmurugan, Pranab Kumar Mondal
Molecular Simulation, 2020
Sericin-coated polyester based air-filter for removal of particulate matter and volatile organic compounds (BTEX) from indoor air
Vishal Kumar Verma, Senthilmurugan Subbiah, Sri Harsha Kota
Chemosphere, 2019
Natural Draft-Improved Carbonization Retort System for Biocarbon Production from Prosopis juliflora Biomass
Arunkumar Chandrasekaran, Senthilmurugan Subbiah, Sethumadhavan Ramachandran, Selvaraju Narayanasamy, Pietro Bartocci, Francesco Fantozzi
Energy and Fuels, 2019
Impact of chamber volume on the measurement of laminar burning velocity using constant volume spherical flame method
Muniraja Tippa, Senthilmurugan Subbiah, Chockalingam Prathap
Fuel, 2019
Fouling resistant sericin-coated polymeric microfiltration membrane
Vishal Kumar Verma, Senthilmurugan Subbiah
Journal of Chemical Technology and Biotechnology, 2019
Sericin-coated polymeric microfiltration membrane for removal of drug-based micropollutants
Vishal Kumar Verma, Senthilmurugan Subbiah
Journal of Chemical Technology and Biotechnology, 2019
Hexavalent chromium adsorption on virgin, biochar, and chemically modified carbons prepared from Phanera vahlii fruit biomass: equilibrium, kinetics, and thermodynamics approach
Abhishek Ajmani, Tasrin Shahnaz, Senthilmurugan Subbiah, Selvaraju Narayanasamy
Environmental Science and Pollution Research, 2019
Concrete based high temperature thermal energy storage system: Experimental and numerical studies
K. Vigneshwaran, Gurpreet Singh Sodhi, P. Muthukumar, Senthilmurugan Subbiah
Energy Conversion and Management, 2019
Experimental and numerical investigations on high temperature cast steel based sensible heat storage system
K. Vigneshwaran, Gurpreet Singh Sodhi, P. Muthukumar, Anurag Guha, S. Senthilmurugan
Applied Energy, 2019
Experimental investigation of a cast-steel based thermal energy storage system
K. Vigneshwaran, Gurpreet Singh Sodhi, P. Muthukumar, V.K. Arvind, G. Balamurugan, S. Sriram, S. Senthilmurugan
Energy Procedia, 2019
Modeling, experimental validation and optimization of Prosopis juliflora fuelwood pyrolysis in fixed-bed tubular reactor
Arunkumar Chandrasekaran, Sethumadhavan Ramachandran, Senthilmurugan Subbiah
Bioresource Technology, 2018
Grey water treatment and simultaneous surfactant recovery using UF and RO process
T. Venkatesh, S. Senthilmurugan
Separation Science and Technology Philadelphia, 2017
Prospects of Silk Sericin as an Adsorbent for Removal of Ibuprofen from Aqueous Solution
Vishal Kumar Verma, Senthilmurugan Subbiah
Industrial and Engineering Chemistry Research, 2017
Determination of kinetic parameters in the pyrolysis operation and thermal behavior of Prosopis juliflora using thermogravimetric analysis
Arunkumar Chandrasekaran, Sethumadhavan Ramachandran, Senthilmurugan Subbiah
Bioresource Technology, 2017
Reverse Osmosis-Pressure Retarded Osmosis hybrid system: Modelling, simulation and optimization
Senthil S., Senthilmurugan S.
Desalination, 2016
Eddy diffusivity spiegler-kedem (EDSK) model for reverse osmosis membrane
Distillation Topical Conference and Separations Division Conference Topical Conference at the 2008 Aiche Spring National Meeting, 2014
Energy efficiency solutions for RO desalination plant
Naveen Bhutani, Amit Purohit, Vasudeva Kumar Mantravadi, Srinivas Mekapati, Senthilmurugan Subbaiah
Desalination and Water Treatment, 2013
Performance Assessment and Benchmarking of Desalination Plants
Naveen Bhutani, Mekapati Srinivas, S. Senthilmurugan
Computer Aided Chemical Engineering, 2012
Water of life: Sustainability and energy efficiency in the water industry
ABB Review, 2011
Simplified approach for paper dryer modeling
TAPPI 2nd Annual Papercon 09 Conference Solutions for A Changing World, 2009
Eddy diffusivity Spiegler-Kedem (EDSK) model for reverse osmosis membrane
Aiche Annual Meeting Conference Proceedings, 2008
Separation of inorganic and organic compounds by using a radial flow hollow-fiber reverse osmosis module
S. Senthilmurugan, Sharad K. Gupta
Desalination, 2006
Modeling of a radial flow hollow fiber module and estimation of model parameters for aqueous multi-component mixture using numerical techniques
S. Senthilmurugan, Sharad K. Gupta
Journal of Membrane Science, 2006
Modeling of a spiral-wound module and estimation of model parameters using numerical techniques
S. Senthilmurugan, Aruj Ahluwalia, Sharad K. Gupta
Desalination, 2005
Modeling of a radial flow hollow fiber module and estimation of model parameters using numerical techniques
Abhijit Chatterjee, Aruj Ahluwalia, S. Senthilmurugan, Sharad K. Gupta
Journal of Membrane Science, 2004

Senthilmurugan Subbiah

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