DR. AVINASH KUMAR NAMDEO

@lingayasvidyapeeth.edu.in

Associate Professor, Department of Computer Science Engineering
Lingaya's Vidyapeeth, Faridabad

DR. AVINASH KUMAR NAMDEO


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https://researchid.co/dr.avinashkumarnamdeo

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Fuel Technology, Automotive Engineering, Computer Engineering
13

Scopus Publications

47

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Design and optimization of nature-inspired polygon-based lattice structures for lightweight and high-strength applications
    Ganesh Chouhan, Rupesh Chalisgaonkar, Anshuman Purohit, Avinash Kumar Namdeo, Deepak Kumar Yaduwanshi, Kunal Gandvane, Prveen Bidare
    Materials Research Express, 2026
    Additive manufacturing stands at the cutting edge of modern production, enabling the fabrication of intricate geometries such as lattice structures with superior stiffness-to-weight ratios that are often unattainable through conventional methods. This study focuses on the development and evaluation of polygon-based lattice structures inspired by naturally occurring botanical forms, known for their efficient load distribution and structural connectivity. Square, triangular, and pentagonal unit cells were systematically designed across three porosity levels (50%, 55%, and 60%) to investigate the influence of geometry on mechanical performance. High-resolution stereolithography (SLA) 3D printing was employed to fabricate the samples, ensuring precision in capturing fine lattice details critical for accurate mechanical assessment. Finite Element Analysis (FEA) was employed to evaluate the mechanical performance of bio-inspired lattice structures under multidirectional compressive loading. The investigation integrated both computational simulations and experimental testing to validate structural behavior. Among the configurations studied, the pentagon geometry with 50% porosity lattice exhibited the best compressive performance, with a peak strength of 40.1 MPa, which is 62% higher than the 50% square lattice and 170% higher than the 60% triangle lattice. Additionally, Scanning Electron Microscopy (SEM) analysis was conducted to examine fracture mechanisms and microstructural integrity.
  • Heat transfer performance of compact TPMS lattice heat sinks via metal additive manufacturing
    Ganesh Chouhan, Avinash Kumar Namdeo, Ahmet Guner, Khamis Essa, Prveen Bidare
    Progress in Additive Manufacturing, 2026
    Nature-inspired triply periodic minimal surface (TPMS) lattices serve as exemplary models for advanced thermal management strategies. Their intricate geometric and topological configurations enhance surface area, porosity, and smooth curved walls, optimizing thermal performance across diverse applications. These attributes render TPMS structures exceptionally effective in augmenting heat sink performance within a constrained volume, outperforming conventional designs such as pin fin heat sinks. The present study evaluates the thermal performance of five L-PBF manufactured TPMS heat sinks (Gyroid, Diamond, Schwarz, Lidinoid, and Split P) relative to conventional pin–fin heat sinks of equivalent volume. The investigation focuses on the effect of unit cell sizes and periodicity on thermal performance, providing deeper insights into heat transfer mechanisms in TPMS-based structures. To accurately replicate the thermal characteristics, both numerical simulations and experimental testing were conducted. A customized testing system was developed to assess A20X aluminum heat sinks, revealing uniform heat flow across the lattice samples. Overall, this study indicates potential for improved heat transfer and validates the superior performance of TPMS heat sinks over traditional designs.
  • Enhancing Strength and Sustainability of Hybrid Composites with E-Glass and Jute Fibres
    Journal of Mines Metals and Fuels, 2025
  • Real-time market analysis with AI-enhanced signal processing
    Shyam Fardale, Akhil Goyal, Manesh R. Palav, Sharada Manesh Palav, C. Kalaiarasan, Avinash Kumar Namdeo
    Role of Internet of Everything Ioe VLSI Architecture and AI in Real Time Systems, 2024
    The purpose of this investigation is to examine how artificial intelligence can efficiently reuse and comprehend complicated request signals, which will allow for more accurate forecasting and fast decision-making in dynamic financial environmental conditions. The purpose of this project is to construct a robust framework that is capable of gaining meaningful perceptivity from a variety of data sources, such as request patterns, news sentiment, and profitable pointers. This will be accomplished through the utilization of machine literacy algorithms and signal-processing models. By providing dealers and judges with information that is both understandable and applicable promptly, the solution that has been developed aims to mitigate the risks that are connected with request volatility and questions. The findings highlight the possibility that artificial intelligence-enhanced signal processing may revolutionize request analysis procedures, hence clearing the way for further strategies that are informed and adaptive in the context of financial demands.
  • Real-time fraud detection using AI and signal processing
    Pratik Kodmalwar, Amitabha Maheshwari, Manesh R. Palav, Sweta Priya, N. Purusothaman, Avinash Kumar Namdeo
    Role of Internet of Everything Ioe VLSI Architecture and AI in Real Time Systems, 2024
    Scripts that run in real-time and offer a novel approach to the fight against fraud. This work makes use of advanced algorithms for artificial intelligence in conjunction with signal processing techniques to enhance the speed and precision of finding. The objective of this work is to develop a robust system that is capable of relating fake conditioning in the same manner that they do. This will be accomplished by utilizing the capabilities of artificial intelligence (AI) for pattern recognition and signal processing (SP) for extracting useful information from data aqueducts. The method involves preprocessing raw data to discover key characteristics, employing machine literacy models for bracketing, and continuously simplifying models adapt to evolving fraud trends. All of these steps are undertaken to get the desired results. The efficacy of this strategy has been determined by conducting exhaustive tests on datasets that were collected from the actual world. The results of these tests have revealed significant advancements in discovery rates in compared to more standard approach.
  • AI-driven robotics for realtime manufacturing processes
    Banshi Prasad Agrawal, Bidyutlata Sahoo, V. Harini, J. Ananda Lavanya, Vaibhav Jindal, Avinash Kumar Namdeo, A. Shaji George
    Role of Internet of Everything Ioe VLSI Architecture and AI in Real Time Systems, 2024
    We investigate the most recent developments in artificial intelligence-driven robots within the industrial industry, with a particular emphasis on real-time operations. Among the most important advancements are machine literacy algorithms for prophetic conservation, autonomous robots for the operation of dynamic tasks, and vision systems that are augmented by artificial intelligence for quality control. These robotic systems can analyze huge amounts of data, optimize workflows, and adapt to changing situations in real time thanks to the application of artificial intelligence. They can execute with less time-out and boost their productivity. In addition to this, the investigation investigates case studies that demonstrate successful implementations across a variety of different types of diligence, highlighting both the benefits and the obstacles connected with the incorporation of AI. Based on the findings, artificial intelligence-driven robotics not only improve functional performance but also pave the road for technologically advanced and more adaptable manufacturing environments.
  • Effect of Reinforcement on Micro Structural and Compressive Deformation Behavior on Closed Cell AA7075 Aluminium Foam
    Nitish Kumar Singh, S. Balaguru, Pavan Mehta, Amit Kaimkuriya, Avinash Kumar Namdeo, Rupak Kumar Deb
    Journal of Mines Metals and Fuels, 2024
    The fabrication of aluminium AA7075 and AA7075/SiC composite foams employ the stir casting method, incorporating calcium carbonate (CaCO3) as a blowing agent at a concentration constituting 2.5wt. % of the alloy. Notably, no viscosity-enhancing component was included in the process. The compressive parameters, including the yield strength (σc), plateau stress (σpl) and energy absorption (Eab), of the foam materials were examined to investigate the influence of Silicon Carbide (SiC) on the microstructure, namely the cell size and cell wall thickness. The incorporation of Silicon Carbide particles (SiC) into the cell wall imparts enhanced hardness and strength. The findings indicate that the inclusion of SiC particles may enhance the mechanical properties like σc, σp and Eab, of composite foams. The porosity of the composite foam increases from 59.07% to 68.68% with the incorporation of SiC particles. The cell dimensions fluctuated between 1.12 and 1.45mm as the relative density of the AA7075/SiC composite foam decreased from 0.4 to 0.31.
  • Enhancing SMS Spam Detection Using Deep Learning Models: A Comparative Study
    Shailendra Singh Sikarwar, R. Arivukkodi, Dhanya Krishnane, Himanshu Sharma, Avinash Namdeo, Kaushiki Jadon
    Proceedings IEEE 2024 1st International Conference on Advances in Computing Communication and Networking Icac2n 2024, 2024
    The rise in Machine Learning algorithms for identifying SMS spam has become popular due to a significant surge in unwanted text messages. Detecting SMS spam holds crucial importance for several reasons. Firstly, it can inundate mobile phone users’ message inboxes with irrelevant and unwanted messages, causing frustration and irritation. Secondly, SMS spam serves as a conduit for phishing scams, where scammers exploit fraudulent SMS messages to deceive users into divulging personal information or downloading malicious software. These scams can result in financial losses, identity theft, or other forms of fraud. Lastly, SMS spam can propagate malware or viruses, potentially compromising the security or functionality of the user’s device.
  • Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique
    Nitish Kumar Singh, S. Balaguru, Ram Krishna Rathore, Avinash Kumar Namdeo, Amit Kaimkuriya
    Journal of Mines Metals and Fuels, 2023
    Aluminium foams have been manufactured and discovered to have a variety of uses in automotive and structural applications. However, due to their varied characteristics, it is difficult to choose an appropriate material. In this context, the selection of material for good properties is a challenging task. This study attempted to identify materials from various combinations employing the Multiple Attribute Decision Making (MADM) technique based on their mechanical and physical properties. Complex Proportional Assessment (COPRAS) is a Multi-Criteria Decision Making (MCDM) technique employed for evaluating the ranking order of the aluminium composite foam’s formulations based on performance measures. The composite foam with 2.5 wt.% of Calcium carbonate as foaming agent demonstrated the best combination of mechanical properties.
  • Potential of linseed oil biodiesel as fuel for ci-engines in india
    International Journal of Scientific and Technology Research, 2020
  • NOx reduction of CI engine operated with flaxseed oil biodiesel emulsions with water
    International Journal of Advanced Science and Technology, 2019
  • Performance and emissions of CI engine operated with linseed oil biodiesel-diesel blends under varied compression ratio
    Avinash Kumar Namdeo et al., Avinash Kumar Namdeo et al., and
    International Journal of Mechanical and Production Engineering Research and Development, 2019
  • The FEA validation of side underrun protection device (SUPD) for heavy commercial vehicles
    Mayank Laddha et al., Mayank Laddha et al., and
    International Journal of Mechanical and Production Engineering Research and Development, 2019

RECENT SCHOLAR PUBLICATIONS

  • Design and optimization of nature-inspired polygon-based lattice structures for lightweight and high-strength applications
    G Chouhan, R Chalisgaonkar, A Purohit, AK Namdeo, DK Yaduwanshi, ...
    Materials Research Express 13 (1), 015302 , 2026
    2026.0
  • Biodegradable Nanocomposites for Organic Pollutant Removal
    DK Chelike, RK Rathore, AM Alsayah, NK Singh, RK Deb, AK Namdeo, ...
    Nanocomposites for Sustainable Wastewater Treatment: Performance Evaluation … , 2025
    2025.0
  • Real-Time Threat Detection in Critical Infrastructure with Machine Learning and Industrial Control System Data
    SPS Rathore, S Surendarkumar, TK Kumar, AK Namdeo, SS Sikarwar
    2025 7th International Conference on Information Systems and Computer … , 2025
    2025.0
    Citations: 3
  • A Supervised Machine Learning Framework for Early Detection of Man-In-The-Middle Attacks
    P Kaushik, S Dhamodharan, A Haldorai, S Jagadish, D Singh, ...
    2025 7th International Conference on Information Systems and Computer … , 2025
    2025.0
  • Heat transfer performance of compact TPMS lattice heat sinks via metal additive manufacturing
    A Chouhan, G., Namdeo, A., Guner
    Progress in Additive Manufacturing , 2025
    2025.0
    Citations: 6
  • Enhancing Strength and Sustainability of Hybrid Composites with E-Glass and Jute Fibres
    NK Singh, RK Deb, S Yadav, P Singh, AK Namdeo, RK Rathore
    Journal of Mines, Metals and Fuels 73 (4), 871-880 , 2025
    2025.0
  • Real-Time Fraud Detection Using AI and Signal Processing
    P Kodmalwar, A Maheshwari, MR Palav, S Priya, N Purusothaman, ...
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
    Citations: 3
  • Real-Time Market Analysis With AI-Enhanced Signal Processing
    S Fardale, A Goyal, MR Palav, SM Palav, C Kalaiarasan, AK Namdeo
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
  • AI-driven robotics for real-time manufacturing processes
    BP Agrawal, B Sahoo, V Harini, JA Lavanya, V Jindal, AK Namdeo, ...
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
    Citations: 5
  • Enhancing SMS Spam Detection Using Deep Learning Models: A Comparative Study
    SS Sikarwar, R Arivukkodi, D Krishnane, H Sharma, A Namdeo, K Jadon
    2024 1st International Conference on Advances in Computing, Communication … , 2024
    2024.0
  • Effect of Reinforcement on Micro Structural and Compressive Deformation Behavior on Closed Cell AA7075 Aluminium Foam.
    NK Singh, S Balaguru, P Mehta, A Kaimkuriya, AK Namdeo, RK Deb
    Journal of Mines, Metals & Fuels 72 (2) , 2024
    2024.0
    Citations: 4
  • Multi-criteria decision-making technique for optimal material selection of AA7075/SiC composite foam using COPRAS technique
    NK Singh, S Balaguru, RK Rathore, AK Namdeo, A Kaimkuriya
    Journal of Mines, Metals and Fuels 71 (10), 1374-1379 , 2023
    2023.0
    Citations: 13
  • Potential of linseed oil biodiesel as fuel for CI-engines In India
    AK Namdeo, R Gupta
    Int J Sci Technol Res 9 (2), 2510-2515 , 2020
    2020.0
    Citations: 3
  • NOx Reduction of CI Engine operated with Flaxseed oil biodiesel emulsions with Water
    AK Namdeo, R Gupta
    2019.0
  • Performance and Emissions of CI engine operated with Linseed oil biodiesel-diesel blends under varied compression ratio
    AK Namdeo, R Gupta
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019.0
    Citations: 2
  • The FEA Validation of Side Underrun Protection Device (SUPD) for Heavy Commercial Vehicles
    M Laddha
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019.0
  • Analysis of Heat transfer through fins of an IC Engine using CFD
    A Mote, A Choukse, A Godbole, P Patil, AK Namdeo
    International Research Journal of Engineering and Technology 3 (4), 2362-2365 , 2016
    2016.0
    Citations: 6
  • Thermal analysis of baffled shell and tube type EGR cooler for different types of tubes using CFD
    IH Shah, AK Namdeo
    International Journal Of Engineering Sciences & Research Technology (IJESRT … , 2014
    2014.0
    Citations: 2
  • Mechanical Characterization of FRBC prepared
    S Shah, M Sharma, V Wankhade, AK Namdeo, A Dhakad
    GaS 2, 6 , 0
  • A Deep Learning Approach to Strengthening Email Security Against Spam
    AK Namdeo

MOST CITED SCHOLAR PUBLICATIONS

  • Multi-criteria decision-making technique for optimal material selection of AA7075/SiC composite foam using COPRAS technique
    NK Singh, S Balaguru, RK Rathore, AK Namdeo, A Kaimkuriya
    Journal of Mines, Metals and Fuels 71 (10), 1374-1379 , 2023
    2023.0
    Citations: 13
  • Heat transfer performance of compact TPMS lattice heat sinks via metal additive manufacturing
    A Chouhan, G., Namdeo, A., Guner
    Progress in Additive Manufacturing , 2025
    2025.0
    Citations: 6
  • Analysis of Heat transfer through fins of an IC Engine using CFD
    A Mote, A Choukse, A Godbole, P Patil, AK Namdeo
    International Research Journal of Engineering and Technology 3 (4), 2362-2365 , 2016
    2016.0
    Citations: 6
  • AI-driven robotics for real-time manufacturing processes
    BP Agrawal, B Sahoo, V Harini, JA Lavanya, V Jindal, AK Namdeo, ...
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
    Citations: 5
  • Effect of Reinforcement on Micro Structural and Compressive Deformation Behavior on Closed Cell AA7075 Aluminium Foam.
    NK Singh, S Balaguru, P Mehta, A Kaimkuriya, AK Namdeo, RK Deb
    Journal of Mines, Metals & Fuels 72 (2) , 2024
    2024.0
    Citations: 4
  • Real-Time Threat Detection in Critical Infrastructure with Machine Learning and Industrial Control System Data
    SPS Rathore, S Surendarkumar, TK Kumar, AK Namdeo, SS Sikarwar
    2025 7th International Conference on Information Systems and Computer … , 2025
    2025.0
    Citations: 3
  • Real-Time Fraud Detection Using AI and Signal Processing
    P Kodmalwar, A Maheshwari, MR Palav, S Priya, N Purusothaman, ...
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
    Citations: 3
  • Potential of linseed oil biodiesel as fuel for CI-engines In India
    AK Namdeo, R Gupta
    Int J Sci Technol Res 9 (2), 2510-2515 , 2020
    2020.0
    Citations: 3
  • Performance and Emissions of CI engine operated with Linseed oil biodiesel-diesel blends under varied compression ratio
    AK Namdeo, R Gupta
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019.0
    Citations: 2
  • Thermal analysis of baffled shell and tube type EGR cooler for different types of tubes using CFD
    IH Shah, AK Namdeo
    International Journal Of Engineering Sciences & Research Technology (IJESRT … , 2014
    2014.0
    Citations: 2
  • Design and optimization of nature-inspired polygon-based lattice structures for lightweight and high-strength applications
    G Chouhan, R Chalisgaonkar, A Purohit, AK Namdeo, DK Yaduwanshi, ...
    Materials Research Express 13 (1), 015302 , 2026
    2026.0
  • Biodegradable Nanocomposites for Organic Pollutant Removal
    DK Chelike, RK Rathore, AM Alsayah, NK Singh, RK Deb, AK Namdeo, ...
    Nanocomposites for Sustainable Wastewater Treatment: Performance Evaluation … , 2025
    2025.0
  • A Supervised Machine Learning Framework for Early Detection of Man-In-The-Middle Attacks
    P Kaushik, S Dhamodharan, A Haldorai, S Jagadish, D Singh, ...
    2025 7th International Conference on Information Systems and Computer … , 2025
    2025.0
  • Enhancing Strength and Sustainability of Hybrid Composites with E-Glass and Jute Fibres
    NK Singh, RK Deb, S Yadav, P Singh, AK Namdeo, RK Rathore
    Journal of Mines, Metals and Fuels 73 (4), 871-880 , 2025
    2025.0
  • Real-Time Market Analysis With AI-Enhanced Signal Processing
    S Fardale, A Goyal, MR Palav, SM Palav, C Kalaiarasan, AK Namdeo
    Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time … , 2025
    2025.0
  • Enhancing SMS Spam Detection Using Deep Learning Models: A Comparative Study
    SS Sikarwar, R Arivukkodi, D Krishnane, H Sharma, A Namdeo, K Jadon
    2024 1st International Conference on Advances in Computing, Communication … , 2024
    2024.0
  • NOx Reduction of CI Engine operated with Flaxseed oil biodiesel emulsions with Water
    AK Namdeo, R Gupta
    2019.0
  • The FEA Validation of Side Underrun Protection Device (SUPD) for Heavy Commercial Vehicles
    M Laddha
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019.0
  • Mechanical Characterization of FRBC prepared
    S Shah, M Sharma, V Wankhade, AK Namdeo, A Dhakad
    GaS 2, 6 , 0
  • A Deep Learning Approach to Strengthening Email Security Against Spam
    AK Namdeo