Vasanthaseelan S

@skct.edu.in

Assistant Professor/ Mechanical Engineering
Sri Krishna College of Technology

Vasanthaseelan S


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https://researchid.co/vasanthaseelan

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Fuel Technology, Renewable Energy, Sustainability and the Environment, Mechanical Engineering
25

Scopus Publications

572

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Optimizing Wind Energy Integration: A Review of Forecasting Techniques and Emerging Trends
    Jaisiva Selvaraj, Lakshmanan Muthuramalingam, Viji Karthikeyan, Alagar Karthick, Vasanthaseelan Sathiyaseelan
    Archives of Computational Methods in Engineering, 2026
  • Uses of Generative AI for SAP HANA Data Management
    Rao.katta Sivakoteswara, AVR Akshaya, M Rajeswari, Vasanthaseelan Sathiyaseelan
    Artificial Intelligence in Detecting Autism, 2026
    This chapter examines the transformative role of generative artificial intelligence (AI) in enterprise analytics, with emphasis on the Generative Pre-trained Transformer (GPT) family and related attention-based architectures. In contrast to conventional machine-learning pipelines whose performance is constrained by task-specific supervision and rigid feature engineering generative models exploit large-scale self-supervised pre-training, enabling emergent reasoning and effective transfer across heterogeneous downstream tasks. We demonstrate these advantages through a pragmatic integration of GPT-class large language models (LLMs) within an SAP HANA environment. By fine-tuning the LLM on domain-specific SQL corpora and curated schema metadata, the system learns to synthesise syntactically correct, execution-ready SQL statements that align with the underlying business logic. This design obviates costly data-centralisation efforts: users can pose natural-language questions and obtain HANA-compliant queries over distributed enterprise data without deep knowledge of relational algebra or SAP-specific functions. Moreover, explicit injection of domain ontologies during fine-tuning improves semantic grounding and materially increases query-generation accuracy. A sales-reporting case study substantiates these claims, showing that the approach streamlines complex analytic workflows, reduces time-to-insight, and enhances report reliability. Collectively, the findings position generative AI as a catalytic technology for modernising enterprise data management and accelerating data-driven innovation.
  • Harnessing Explainable AI and Multi-Omics Biomarkers for Precision Autism Diagnosis: From Data Acquisition to Clinical Decision Support
    Vasanthaseelan Sathiyaseelan, Anupriya Ramachandran, S Saranya, B Vijayalakshmi, Kumar C Ram
    Artificial Intelligence in Detecting Autism, 2026
    Rising autism-spectrum-disorder (ASD) prevalence and a persistent 2-to-4-year diagnostic lag motivate molecular, AI-enabled approaches that can detect risk earlier than behavior only screening. Methods: This chapter reviews open-access evidence on (i) data acquisition whole-genome/-exome sequencing, SNP arrays, plasma metabolomics, single-cell transcriptomics and EEG curated through repositories such as SPARK, SSC and ABIDE; (ii) rigorous pre-processing (FASTQ/QC, ComBat, Harmony, Boruta, mRMR) that yields harmonized, information-dense feature sets; (iii) machine and deep learning pipelines spanning SVM, Random Forest, XGBoost, 1-D CNNs, graph-attention networks and Transformer seq2vec models; and (iv) post-hoc explainability (SHAP, LIME), network propagation and counterfactual causal graphs integrated into clinician-facing dashboards and governed by FDA SaMD and ISO 13485 guidance. Across 12 peer-reviewed case studies including a 50 000-family SPARK late-fusion model (AUROC 0.91), single-cell graph-attention networks (AUROC 0.87) and a 217-analyte proteomic XGBoost panel (AUROC 0.86) contemporary AI delivered median AUROC gains of +0.14 over classical statistics while preserving calibration; SHAP analyses consistently converged on synaptic-scaffold, chromatin-remodeling and neuro-immune pathways, and federated-learning deployments maintained accuracy (ΔAUROC ≤ 0.02) under GDPR/HIPAA constraints. These findings demonstrate that multi-omic, explainable AI can shorten diagnostic latency, illuminate mechanistic pathways and integrate into clinical workflows via privacy-preserving cloud or edge pipelines; however, progress now hinges on mitigating data sparsity and ancestry bias, scaling longitudinal cohorts, and aligning regulatory and reimbursement frameworks.
  • Artificial Intelligence and Machine Learning in Detecting Autism: Transforming Diagnosis and Care
    AVR Akshaya, B Vijayalakshmi, P Nisha, Anupriya Ramachandran, Vasanthaseelan Sathiyaseelan
    Artificial Intelligence in Detecting Autism, 2026
    Autism Spectrum Disorder (ASD) is a condition that involves many aspects and falls into the category of neurodevelopmental disorders. This is shown by problems in socializing, talking and repetitive actions. Despite the fact that early intervention is beneficial such initiatives may be postponed due to the lengthy process of assessing the disease by qualified doctors. More people are interested in AI and ML technologies which may help detect ASD earlier and more accurately. The goal of this paper is to describe the machine learning techniques used to spot ASD in individuals of any age, using information from behaviour, genes and brain images. It applies supervised learning, unsupervised learning and deep learning, using Support Vector Machines, Random Forests and Convolutional Neural Networks to find autistic patterns in complex data. We also discuss the use of facial recognition, speech recognition, motion analysis and wearable devices in helping with early detection and creating personal intervention programs. At the same time, these technologies are concerned with data accuracy, biased algorithms, lack of openness and ethical and social issues such as data safety and consent. It explains the benefits and the issues that come with using AI and ML in healthcare to find cases of autism spectrum disorder (ASD). By working together, policymakers, researchers and clinicians can help these technologies advance the diagnosis and treatment of ASD which will improve the lives of those with ASD and their families.
  • AI Models for Facial Recognition in Autism Detection: A Comprehensive Review and Analysis
    Anupriya Ramachandran, Vasanthaseelan Sathiyaseelan, V Sangeetha, H A Deepa, S Vigneshwaran
    Artificial Intelligence in Detecting Autism, 2026
    A patient monitoring system continuously collects and displays instantaneous information about a patient's physiological vital parameters, enabling healthcare professionals to detect potential health problems early and provide quick treatments, improving patient outcomes and lowering medical costs. The goal of this initiative is to harness the power of machine learning and the Internet of Things (IoT) to tackle health-related challenges. It provides an architectural examination of a smart healthcare system that makes use of ML and strives to provide better healthcare for everybody. Monitoring the patient's physiological characteristics in real time is made possible by this system design. Sensors collect data on the patient's physical features, which a microcontroller subsequently sends to the cloud. The patient can get this information by using an Android app. It may be installed on a tablet or a phone. If the data is abnormal, carers will also receive a copy and the patient will be contacted. Many decision-making algorithms provide rapid, uncomplicated, and precise decision-making.
  • Retraction notice to “Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends” (Sustainable Energy Technologies and Assessments, (2021), 43, C, (100981), (S2213138820314090), 10.1016/j.seta.2020.100981)
    Ravishankar Sathyamurthy, D. Balaji, Shiva Gorjian, S. Jenoris Muthiya, R. Bharathwaaj, S. Vasanthaseelan, Fadl A. Essa
    Sustainable Energy Technologies and Assessments, 2025
  • Comprehensive Spectroscopic and Chromatographic Analysis of Waste Fish Oil Biodiesel using NMR, GC-MS, and FTIR Techniques for Sustainable Alternative Fuel Production
    Malaysian Journal of Chemistry, 2025
    This study presents a comprehensive characterization of wastes fish oil biodiesel using spectroscopic and chromatographic techniques, including Gas Chromatography-Mass Spectrometry (GC-MS), Fourier Transform Infrared Spectroscopy (FTIR), and Nuclear Magnetic Resonance (NMR) spectroscopy.The primary objective was to evaluate the molecular composition, purity, and structural integrity of biodiesel derived from waste fish oil through transesterification.GC-MS analysis identified a diverse range of fatty acid methyl esters (FAMEs), including saturated, monounsaturated, and polyunsaturated esters, reflecting the high degree of unsaturation characteristic of waste fish oil.The analytical results show successful transesterification of the detection of methyl tetradecanoate, 9-hexadecenoic acid methyl ester, and polyunsaturated eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) FAMEs.The characteristic ester carbonyl (1745 cm), aliphatic chain (2923 cm and 2853 cm) and double bond (1650 -1600 cm) absorption bands detected through FTIR Spectroscopy confirmed the investigation conclusions.The NMR spectroscopy provided molecular information through H-NMR and C-NMR spectra which demonstrated that methyl esters appeared with signals at 3.6-3.7 ppm and 51.0-51.8ppm while unsaturation levels became evident in the 127.0-130.0ppm region.The results emphasis the process optimization because analysis shows the presence of phthalate derivatives and residual glycerol derivatives as well as other minor impurities.This study highlights the potential of waste fish oil as a sustainable feedstock for biodiesel production, contributing to renewable energy solutions and addressing environmental challenges.
  • Analyzing fuel cell vehicles through intelligent Battery Management Systems (BMS): AI and ML technologies for e-mobility
    Semantic Web Technologies and Applications in Artificial Intelligence of Things, 2024
  • Comparative Assessment of Low-Concentration Ethanol and Waste Fish Oil Biodiesel Blends on Emission Reduction and Performance Improvement in Variable Compression Ratio Engine
    Vasanthaseelan Sathiyaseelan, Savadamuthu Lakshmana Gowder, Ravishankar Sathyamurthy
    Journal of Thermal Science, 2023
  • Concrete bridge crack detection by image processing technique by using the improved OTSU method
    V. Vivekananthan, R. Vignesh, S. Vasanthaseelan, E. Joel, K.Sunil Kumar
    Materials Today Proceedings, 2023
  • Hemispherical Solar Distiller Performance Utilizing Hybrid Storage Media, Paraffin Wax with Nanoparticles: An Experimental Study
    Ravishankar Sathyamurthy, Wael M. El-Maghlany, Mohammed El Hadi Attia, A. E. Kabeel, Mohamed Abdelgaied, Moataz M. Abdel-Aziz, A. S. Abdullah, S. Vasanthaseelan
    Molecules, 2022
  • Multi-intractable analysis for alternative Diesel–Ethanol–Canola methyl ester ternary blend
    Vasanthaseelan S., Joel E., A.E. Kabeel, Bharathwaaj R., Ravishankar Sathyamurthy, B. Madhu
    Energy Reports, 2022
  • Feasibility study of neat plastic oil with TiO2 nanoadditive as an alternative fuel in internal combustion engine
    S. Padmanaba Sundar, Vijayabalan Palanimuthu, Ravishankar Sathyamurthy, D. Hemalatha, R. Sathish Kumar, R. Bharathwaaj, S. Vasanthaseelan, Ali Chamkha
    Journal of Thermal Analysis and Calorimetry, 2022
  • Modeling of permanent magnet synchronous motor for zero-emission vehicles
    R. Bharathwaaj, V. Mohanavel, Alagar Karthick, S. Vasanthaseelan, Manickam Ravichandran, T. Sakthi, S. Rajkumar
    Active Electrical Distribution Network Issues Solution Techniques and Applications, 2022
  • Experimental studies on natural convection open and closed solar drying using external reflector
    Abd Elnaby Kabeel, Paul Durai Leon Dharmadurai, Sathiyaseelan Vasanthaseelan, Ravishankar Sathyamurthy, Bharathwaaj Ramani, Athikesavan Muthu Manokar, Ali Chamkha
    Environmental Science and Pollution Research, 2022
  • Exergy and energy analysis of a tubular solar still with and without fins: a comparative theoretical and experimental approach
    Ravishankar Sathyamurthy, Abd Elnaby Kabeel, Ali Chamkha, Hemanth Arun Kumar, Hariprasath Venkateswaran, Athikesavan Muthu Manokar, Ramani Bharathwaaj, Sathiyaseelan Vasanthaseelan
    Environmental Science and Pollution Research, 2022
  • Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends
    Ravishankar Sathyamurthy, D. Balaji, Shiva Gorjian, S. Jenoris Muthiya, R. Bharathwaaj, S. Vasanthaseelan, Fadl A. Essa
    Sustainable Energy Technologies and Assessments, 2021
  • Effect of WS2and Redmud reinforcements on mechanical behaviour of Al6061-T6 surface composite
    M. Kumar, C. Senthilkumar, E. Joel, S. Vasanthaseelan, M. Logeaswaran
    Materials Today Proceedings, 2021
  • A comparative study on solar dryer using external reflector for drying grapes
    P. Leon Dharmadurai, S. Vasanthaseelan, R. Bharathwaaj, Vijayakumar Dharmaraj, K. Gnanasekaran, D. Balaji, Ravishankar Sathyamurthy
    Materials Today Proceedings, 2021
  • Investigation on solar water heater with different types of turbulators
    S. Vasanthaseelan, P. Manoj Kumar, R. Anandkumar, K. Hari Ram, Ram Subbiah, V. Suresh, A.S. Abishek, R. Anith, P. Aravinth, S.V. Balaji
    Materials Today Proceedings, 2021
  • Canola Oil as a Fuel for Compression Ignition Engine - An Experimental Investigation
    Jaikumar Mayakrishnan, Sasikumar Nandagopal, Vasanthaseelan Sathiyaseelan, Selvakumar Raja
    SAE Technical Papers, 2018
  • Characterization and identification of fame's in canola biodiesel using spectroscopic studies
    International Journal of Chemical Sciences, 2016
  • Experimental and analytical studies on combustion parameters in DI CI engine fuelled with emulsified blends of canola biodiesel
    Journal of Chemical and Pharmaceutical Sciences, 2016
  • Analyzing the fatty acid methyl esters profile of palm kernel biodiesel using GC/MS, NMR and FTIR techniques
    Journal of Chemical and Pharmaceutical Sciences, 2016
  • Optimization of base catalysed transesterification and characterization of brassica napus (Canola seed) for the production of biodiesel
    International Journal of Chemtech Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • CFD Investigation of Supersonic Scramjet Exhaust Geometry for Emission Reduction and Sustainable Hypersonic Propulsion
    P Paramadhayalan, S Purushothaman, MS Ravi theja, V S, ...
    EPJ Web of Conferences 363, 01002 , 2026
    2026
  • Optimizing Wind Energy Integration: A Review of Forecasting Techniques and Emerging Trends
    J Selvaraj, L Muthuramalingam, V Karthikeyan, A Karthick, ...
    Archives of Computational Methods in Engineering, 1-26 , 2025
    2025
    Citations: 12
  • Retraction notice to “Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends”[Sustain. Energy Technol …
    R Sathyamurthy, D Balaji, S Gorjian, SJ Muthiya, R Bharathwaaj, ...
    Sustainable Energy Technologies and Assessments, 104539 , 2025
    2025
  • Comprehensive Spectroscopic and Chromatographic Analysis of Waste Fish Oil Biodiesel using NMR, GC-MS, and FTIR Techniques for Sustainable Alternative Fuel Production
    MMSV Vasanthaseelan Sathiyaseelan, Subramanian Chinnasamy, V. D. Tamilarasan ...
    Malaysian Journal of Chemistry 27 (3), 370-390 , 2025
    2025
  • Analyzing Fuel Cell Vehicles Through Intelligent Battery Management Systems (BMS): AI and ML Technologies for E-Mobility
    PY Reddy, BS Madan, H Anandaram, P Rathod, S Vasanthaseelan, ...
    Semantic Web Technologies and Applications in Artificial Intelligence of … , 2024
    2024
    Citations: 14
  • Comparative assessment of low-concentration ethanol and waste fish oil biodiesel blends on emission reduction and performance improvement in variable compression ratio engine
    V Sathiyaseelan, S Lakshmana Gowder, R Sathyamurthy
    Journal of Thermal Science 32 (3), 1306-1319 , 2023
    2023
    Citations: 10
  • Concrete bridge crack detection by image processing technique by using the improved OTSU method
    V Vivekananthan, R Vignesh, S Vasanthaseelan, E Joel, KS Kumar
    Materials Today: Proceedings 74, 1002-1007 , 2023
    2023
    Citations: 73
  • Hemispherical solar distiller performance utilizing hybrid storage media, paraffin wax with nanoparticles: an experimental study
    R Sathyamurthy, WM El-Maghlany, MEH Attia, AE Kabeel, M Abdelgaied, ...
    Molecules 27 (24), 8988 , 2022
    2022
    Citations: 39
  • Multi-intractable analysis for alternative Diesel–Ethanol–Canola methyl ester ternary blend
    S Vasanthaseelan, E Joel, K AE, R Bharathwaaj
    Energy Reports 8, 455-462 , 2022
    2022
    Citations: 2
  • Feasibility study of neat plastic oil with TiO 2 nanoadditive as an alternative fuel in internal combustion engine: S. P. Sundar et al.
    SP Sundar, V Palanimuthu, R Sathyamurthy, D Hemalatha, RS Kumar, ...
    Journal of Thermal Analysis and Calorimetry 147 (3), 2567-2578 , 2022
    2022
    Citations: 29
  • M Abdel-Aziz M, Abdullah AS, Vasanthaseelan S. Hemispherical Solar Distiller Performanc e Utilizing Hybrid Storage Media, Paraffin Wax with Nanoparticles: An Experimenta l Study
    R Sathyamurthy, WM El-Maghlany, MEH Attia, AE Kabeel, M Abdelgaied
    Molecules 27, 8988 , 2022
    2022
    Citations: 2
  • A comparative study on solar dryer using external reflector for drying grapes
    PL Dharmadurai, S Vasanthaseelan, R Bharathwaaj, V Dharmaraj, ...
    Materials Today: Proceedings 50, 552-559 , 2022
    2022
    Citations: 25
  • Modeling of permanent magnet synchronous motor for zero-emission vehicles
    R Bharathwaaj, V Mohanavel, A Karthick, S Vasanthaseelan, ...
    Active Electrical Distribution Network, 121-144 , 2022
    2022
    Citations: 5
  • Exergy and energy analysis of a tubular solar still with and without fins: a comparative theoretical and experimental approach
    R Sathyamurthy, AE Kabeel, A Chamkha, HA Kumar, H Venkateswaran, ...
    Environmental Science and Pollution Research 29 (5), 6612-6621 , 2022
    2022
    Citations: 40
  • Experimental studies on natural convection open and closed solar drying using external reflector
    AE Kabeel, PDL Dharmadurai, S Vasanthaseelan, R Sathyamurthy, ...
    Environmental Science and Pollution Research 29 (1), 1391-1400 , 2022
    2022
    Citations: 26
  • Investigations Oncloud, Wireless Networking And Block Chain For High Encrypted Communications-A Detailed Survey
    G Shangkavi, S Sarveswaran, N Gowthaman, S Vasanthaseelan
    Int. J. of Aquatic Science 12 (2), 2383-2403 , 2021
    2021
  • Cryptography techniques and internet of things applications–A modern survey
    S Sarveswaran, G Shangkavi, N Gowthaman, S Vasanthaseelan
    Int. J. of Aquatic Science 12 (2), 2338-2371 , 2021
    2021
    Citations: 7
  • Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends
    R Sathyamurthy, D Balaji, S Gorjian, SJ Muthiya, R Bharathwaaj, ...
    Sustainable Energy Technologies and Assessments 43, 100981 , 2021
    2021
    Citations: 123
  • Investigation on solar water heater with different types of turbulators
    S Vasanthaseelan, PM Kumar, R Anandkumar, KH Ram, R Subbiah, ...
    Materials Today: Proceedings 47, 5203-5208 , 2021
    2021
    Citations: 58
  • Effect of WS2 and Redmud reinforcements on mechanical behaviour of Al6061-T6 surface composite
    M Kumar, C Senthilkumar, E Joel, S Vasanthaseelan, M Logeaswaran
    Materials Today: Proceedings 46, 8226-8230 , 2021
    2021
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends
    R Sathyamurthy, D Balaji, S Gorjian, SJ Muthiya, R Bharathwaaj, ...
    Sustainable Energy Technologies and Assessments 43, 100981 , 2021
    2021
    Citations: 123
  • Concrete bridge crack detection by image processing technique by using the improved OTSU method
    V Vivekananthan, R Vignesh, S Vasanthaseelan, E Joel, KS Kumar
    Materials Today: Proceedings 74, 1002-1007 , 2023
    2023
    Citations: 73
  • Investigation on solar water heater with different types of turbulators
    S Vasanthaseelan, PM Kumar, R Anandkumar, KH Ram, R Subbiah, ...
    Materials Today: Proceedings 47, 5203-5208 , 2021
    2021
    Citations: 58
  • Exergy and energy analysis of a tubular solar still with and without fins: a comparative theoretical and experimental approach
    R Sathyamurthy, AE Kabeel, A Chamkha, HA Kumar, H Venkateswaran, ...
    Environmental Science and Pollution Research 29 (5), 6612-6621 , 2022
    2022
    Citations: 40
  • Hemispherical solar distiller performance utilizing hybrid storage media, paraffin wax with nanoparticles: an experimental study
    R Sathyamurthy, WM El-Maghlany, MEH Attia, AE Kabeel, M Abdelgaied, ...
    Molecules 27 (24), 8988 , 2022
    2022
    Citations: 39
  • Optimization of base catalysed transesterification and characterization of brassica napus (Canola seed) for the production of biodiesel
    V Hariram, S Vasanthaseelan
    International Journal of ChemTech Research 8 (9), 418-423 , 2015
    2015
    Citations: 37
  • Analyzing the Fatty Acid Methyl Esters Profile of Palm Kernel Biodiesel using GC/MS, NMR and FTIR Techniques
    VSSM Hariram V, Seralathan S, Dinesh Kumar M
    Journal of Chemical and Pharmaceutical Sciences 9 (4), 3122-3128 , 2010
    2010
    Citations: 35
  • Feasibility study of neat plastic oil with TiO 2 nanoadditive as an alternative fuel in internal combustion engine: S. P. Sundar et al.
    SP Sundar, V Palanimuthu, R Sathyamurthy, D Hemalatha, RS Kumar, ...
    Journal of Thermal Analysis and Calorimetry 147 (3), 2567-2578 , 2022
    2022
    Citations: 29
  • Experimental studies on natural convection open and closed solar drying using external reflector
    AE Kabeel, PDL Dharmadurai, S Vasanthaseelan, R Sathyamurthy, ...
    Environmental Science and Pollution Research 29 (1), 1391-1400 , 2022
    2022
    Citations: 26
  • A comparative study on solar dryer using external reflector for drying grapes
    PL Dharmadurai, S Vasanthaseelan, R Bharathwaaj, V Dharmaraj, ...
    Materials Today: Proceedings 50, 552-559 , 2022
    2022
    Citations: 25
  • Analyzing Fuel Cell Vehicles Through Intelligent Battery Management Systems (BMS): AI and ML Technologies for E-Mobility
    PY Reddy, BS Madan, H Anandaram, P Rathod, S Vasanthaseelan, ...
    Semantic Web Technologies and Applications in Artificial Intelligence of … , 2024
    2024
    Citations: 14
  • Optimizing Wind Energy Integration: A Review of Forecasting Techniques and Emerging Trends
    J Selvaraj, L Muthuramalingam, V Karthikeyan, A Karthick, ...
    Archives of Computational Methods in Engineering, 1-26 , 2025
    2025
    Citations: 12
  • Comparative assessment of low-concentration ethanol and waste fish oil biodiesel blends on emission reduction and performance improvement in variable compression ratio engine
    V Sathiyaseelan, S Lakshmana Gowder, R Sathyamurthy
    Journal of Thermal Science 32 (3), 1306-1319 , 2023
    2023
    Citations: 10
  • Conversion of IC Engine Vehicle to Electric Vehicle
    S Vasanthaseelan, DS Dharun, S Sreerag, R Gokul
    International Research Journal of Engineering and Technology (IRJET) 6 (3 … , 2019
    2019
    Citations: 10
  • CHARACTERIZATION AND IDENTIFICATION OF FAME’S IN CANOLA BIODIESEL USING SPECTROSCOPIC STUDIES
    VHS VASANTHASEELAN
    Int. J. Chem. Sci 14 (2), 661-670 , 2016
    2016
    Citations: 9
  • Performance, combustion and emission characteristics of a DI-CI diesel engine fueled with corn oil methyl ester biodiesel blends. Sustain Energy Technol Assessments 2021; 43 …
    R Sathyamurthy, D Balaji, S Gorjian, SJ Muthiya, R Bharathwaaj, ...
    2020
    Citations: 8
  • Cryptography techniques and internet of things applications–A modern survey
    S Sarveswaran, G Shangkavi, N Gowthaman, S Vasanthaseelan
    Int. J. of Aquatic Science 12 (2), 2338-2371 , 2021
    2021
    Citations: 7
  • Modeling of permanent magnet synchronous motor for zero-emission vehicles
    R Bharathwaaj, V Mohanavel, A Karthick, S Vasanthaseelan, ...
    Active Electrical Distribution Network, 121-144 , 2022
    2022
    Citations: 5
  • Experimental investigation of emission control in IC Engines By introducing various techniques
    G Rajeshkumar, R Rajapandian, G Surendrakumar, P Ananthakumar, ...
    Eng. Technol. India , 2016
    2016
    Citations: 3
  • Multi-intractable analysis for alternative Diesel–Ethanol–Canola methyl ester ternary blend
    S Vasanthaseelan, E Joel, K AE, R Bharathwaaj
    Energy Reports 8, 455-462 , 2022
    2022
    Citations: 2