Dr. Krishna Kumar Pandey is currently a Postdoctoral Fellow at NIT Agartala, supported by the National Post Doctoral Fellowship (NPDF) from the Science and Engineering Research Board (SERB), DST India. Previously, he served as a Senior Project Associate at IIT Jodhpur. He earned his Ph.D. from NIT Rourkela, where his dissertation focused on the “Experimental Investigation of LHR Engine Run on an Antioxidant-Doped Biodiesel-Diesel Dr. Pandey's research interests include biofuels, low-heat rejection diesel engines, and antioxidants. He has published eight research articles in peer-reviewed international journals and several papers in the proceedings of international conferences. Additionally, he has two solo-authored paper in an SCIE Q1 quartile journal.
EDUCATION
PDF (NIT Agartala)
PhD (NIT Rourkela)
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Energy Engineering and Power Technology
Performance enhancement and emission reduction in Spark Ignition engines using Carbon Nanotubes and Zinc Oxide hybrid nanoparticles Krishna Kumar Pandey, Naseem Khayum, Jami Paparao, Nitesh Kumar Panday, Man Mohan, Anil Singh Yadav, Abhishek Sharma Environmental Progress and Sustainable Energy, 2026 The influence of carbon nanotube (CNT) and zinc oxide (ZnO) additives on the emissions and performance characteristics of a spark ignition (SI) engine was investigated in the current experimental study. Gasoline fuel was doped with these nanomaterials at concentrations of 50 and 100 ppm using ultrasonication. Experiments on the engine were conducted at various speeds under a constant load. The primary objective was to assess the combined effects of CNT and ZnO on engine performance and emissions. Performance metrics, including brake thermal efficiency (BTE), brake specific fuel consumption, and exhaust gas temperature, were evaluated. Emissions of hydrocarbons (HC), carbon monoxide (CO), and nitrogen oxides (NO x ) were also measured. The results indicated a notable increase in BTE of 9.5% when using the nano‐additive blend. Additionally, substantial reductions in HC and CO emissions were observed at higher engine speeds. Carbon dioxide emissions from blended fuels have increased compared to petroleum fuels. NO x emissions also decreased compared to the baseline gasoline‐fueled engine. These findings suggest that the addition of CNT and ZnO to gasoline fuel can enhance engine performance and reduce emissions.
Analysis of combustion characteristics of a diesel engine run on ternary blends using machine learning algorithms Jakeer Hussain Shaik, Naseem Khayum, Krishna Kumar Pandey Environmental Progress and Sustainable Energy, 2025 Diesel engines are vital in industries, such as transportation, agriculture, and power generation. Enhancing fuel efficiency and reducing emissions in these engines are critical goals, and machine learning (ML) techniques offer novel solutions for achieving them. This study investigates the use of ML models, specifically random forest regression (RFR) and polynomial regression (PR) to predict key combustion characteristics, namely cylinder pressure and heat release rate (HRR), in a dual‐fuel diesel engine powered by a ternary blend (TB) and acetylene. The experimental setup involved modifying a conventional diesel engine to operate in dual‐fuel mode, using a TB fuel comprising 70% diesel, 20% waste cooking oil biodiesel (WCOB), and 10% methanol by volume. The cylinder head, piston crown, and intake/exhaust valves were coated with partially stabilized zirconia (PSZ) to improve combustion efficiency. The RFR model achieved an impressive R2 score of 0.9987 for cylinder pressure and 0.9878 for HRR predictions, with corresponding mean absolute error (MAE) values of 0.124 and 0.021, indicating high predictive accuracy and minimal deviation from experimental values. The PR model, while capturing some nonlinear trends, performed less reliably, with R2 scores of 0.7689 for cylinder pressure and 0.6720 for HRR. These results underscore the RFR model's robustness in predicting complex combustion behavior, offering a reliable, cost‐effective approach to optimize fuel efficiency and emission reduction in diesel engines. The findings suggest that implementing ML models, particularly RFR, can aid in tuning engine parameters for sustainable fuel blends, contributing to reduced greenhouse gas emissions and improved fuel efficiency.
Thermal and experimental analyses of thermal barrier coated pistons Krishna Kumar Pandey, Murugan S. International Journal of Modelling and Simulation, 2025 1. In internal combustion (IC) engines, the piston is an essential moving component that is subject to various temperatures and reaches a maximum temperature in the range of 220–800°C. The maximum ...
Comparison of machine learning algorithms on a low heat rejection diesel engine running on ternary blends Krishna Kumar Pandey, Naseem Khayum, Jakeer Hussain Shaik Journal of Renewable and Sustainable Energy, 2024 Depletion of fossil fuels and increasing the energy demand are the critical concerns for the sustainable growth of every country. These challenges highlight the need for a cleaner fuel globally. In particular, substituting the petroleum fuels with biofuels could significantly support sustainability. Hence, this study explores the impact of acetylene induction in a low heat rejection (LHR) diesel engine with ternary blend (TB) as a pilot fuel. TB includes 10%methanol + 20%WCOB + 70%diesel. During the dual fuel operation, the acetylene induction was varied (12, 18, and 24 lpm) with different pilot fuel combinations in a LHR engine. From the experimental results, it was revealed that brake thermal efficiency (BTE) is improved by 10.3% for TB with acetylene at 24 lpm and increased the exhaust gas temperature (EGT) by 10.3% at full load conditions. This study further evaluates the implementation of machine learning algorithms, namely, Random Forest regression (RFR) and Polynomial regression (PR) in predicting the performance parameters [BTE, brake-specific fuel consumption (BSFC), and EGT]. The results indicate that RFR outperforms PR in accurately predicting engine performance characteristics with a coefficient of determination R2 = 0.97, R2 = 0.98 for BTE, whereas for BSFC the R2 = 0.96, R2 = 0.95, and for EGT, the R2 = 0.95, R2 = 0.97 for the test fuels diesel and TBA3, respectively. These findings suggest that the combination of LHR technology, TB fuel, and acetylene can enhance engine efficiency and performance characteristics, and machine learning models can effectively predict these outcomes.
Effect of Thermal Barrier Coating on Performance and Emissions of a di Diesel Engine SAE Technical Papers, 2020
RECENT SCHOLAR PUBLICATIONS
Performance enhancement and emission reduction in Spark Ignition engines using Carbon Nanotubes and Zinc Oxide hybrid nanoparticles KK Pandey, N Khayum, J Paparao, NK Panday, M Mohan, AS Yadav, ... Environmental Progress & Sustainable Energy 45 (2), e70241 , 2026 2026 Citations: 2
Role of Ammonia as a Sustainable Fuel: Production Methods, Properties, Safety, and Applications in Fuel Cells and IC Engines A Debnath, KK Pandey, P Singh, S Kumar Sustainable, Scalable and Storable E-Fuels for Decarbonising Transport … , 2025 2025 Citations: 1
Analysis of combustion characteristics of a diesel engine run on ternary blends using machine learning algorithms JH Shaik, N Khayum, KK Pandey Environmental Progress & Sustainable Energy 44 (3), e14582 , 2025 2025 Citations: 8
Thermal and experimental analyses of thermal barrier coated pistons KK Pandey, M S International Journal of Modelling and Simulation 45 (1), 1-19 , 2025 2025 Citations: 6
Mango leaf disease diagnosis using total variation filter based variational mode decomposition RK Patel, A Choudhary, SS Chouhan, KK Pandey Computers and Electrical Engineering 120, 109795 , 2024 2024 Citations: 51
Application of acetylene in multi-cylinder low heat rejection diesel engine fueled with ternary blend KK Pandey Energy 311, 133368 , 2024 2024 Citations: 5
Study on the integration of hydrogen in a multi-cylinder low heat rejection diesel engine using a ternary blend KK Pandey Atmospheric Pollution Research 15 (10), 102250 , 2024 2024 Citations: 12
Comparison of machine learning algorithms on a low heat rejection diesel engine running on ternary blends KK Pandey, N Khayum, JH Shaik Journal of Renewable and Sustainable Energy 16 (5) , 2024 2024 Citations: 7
OPTIMUM ROTOR FOR IMPROVING MOTOR PERFORMANCE DKKP Dr. Debanshu Shekhar Khamari, Mr. Dilip Kumar Bagal, Dr. Jitesh Kumar ... IN Patent 418164-001 , 2024 2024
CONVERTIBLE SOLAR POWERED ROBOT FOR PRECISION AGRICULTURE KKP UP Singh SS Chouhan, RK Patel, A Saxena IN Patent 546,635 , 2024 2024
APPARATUS FOR DYNAMIC MONITORING AND ANALYSIS IN PULMONARY FIBROSIS SKG Dr. Rajneesh Kumar Patel, Dr. Siddharth Singh Chouhan, Dr. Nancy Kumari ... IN Patent 414751-001 , 2024 2024
Effect of Pongamia pinnata leaves extracted natural antioxidant doped in biodiesel–diesel blend run low heat rejection engine KK Pandey, S Murugan International Journal of Environmental Science and Technology 20 (12), 13159 … , 2023 2023 Citations: 9
Investigation of low heat rejection diesel engine run on N,N′ ‐diphenyl‐p‐phenylenediamine antioxidant doped Jatropha methyl ester‐diesel blend KK Pandey, M Sivalingam Environmental Progress & Sustainable Energy 42 (3), e14056 , 2023 2023 Citations: 7
Effect of synthetic antioxidant-doped biodiesel in the low heat rejection engine KK Pandey, M S Biofuels 14 (3), 243-258 , 2023 2023 Citations: 13
Experimental Investigation of LHR Engine Run on an Antioxidant-Doped Biodiesel-Diesel Blend KK Pandey 2023
Albizia lebbeck leaf extracted natural antioxidant doped biodiesel–diesel blend in low heat rejection diesel engine KK Pandey, S Murugan Journal of Renewable and Sustainable Energy 15 (1) , 2023 2023 Citations: 7
A review of bio-fuelled LHR engines KK Pandey, S Murugan International journal of ambient energy 43 (1), 2486-2509 , 2022 2022 Citations: 15
Experimental studies of an LHR mode DI diesel engine run on antioxidant doped biodiesel KK Pandey, J Paparao, S Murugan Fuel 313, 123028 , 2022 2022 Citations: 26
Performance and emission studies of a dual-fuel diesel engine in LHR mode P Jami, KK Pandey, M Sivalingam SAE International Journal of Advances and Current Practices in Mobility … , 2022 2022 Citations: 5
Experimental studies of LHR diesel engine fueled with antioxidant doped JME biodiesel blends KK Pandey, P Jami, M Sivalingam WCX SAE World Congress Experience , 2022 2022 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
Mango leaf disease diagnosis using total variation filter based variational mode decomposition RK Patel, A Choudhary, SS Chouhan, KK Pandey Computers and Electrical Engineering 120, 109795 , 2024 2024 Citations: 51
Experimental studies on the effect of TBC piston in a dual-fueled diesel engine J Paparao, KK Pandey, S Murugan Fuel 306, 121700 , 2021 2021 Citations: 32
Experimental studies of an LHR mode DI diesel engine run on antioxidant doped biodiesel KK Pandey, J Paparao, S Murugan Fuel 313, 123028 , 2022 2022 Citations: 26
A review of bio-fuelled LHR engines KK Pandey, S Murugan International journal of ambient energy 43 (1), 2486-2509 , 2022 2022 Citations: 15
Effect of synthetic antioxidant-doped biodiesel in the low heat rejection engine KK Pandey, M S Biofuels 14 (3), 243-258 , 2023 2023 Citations: 13
Study on the integration of hydrogen in a multi-cylinder low heat rejection diesel engine using a ternary blend KK Pandey Atmospheric Pollution Research 15 (10), 102250 , 2024 2024 Citations: 12
Effect of Pongamia pinnata leaves extracted natural antioxidant doped in biodiesel–diesel blend run low heat rejection engine KK Pandey, S Murugan International Journal of Environmental Science and Technology 20 (12), 13159 … , 2023 2023 Citations: 9
Analysis of combustion characteristics of a diesel engine run on ternary blends using machine learning algorithms JH Shaik, N Khayum, KK Pandey Environmental Progress & Sustainable Energy 44 (3), e14582 , 2025 2025 Citations: 8
Comparison of machine learning algorithms on a low heat rejection diesel engine running on ternary blends KK Pandey, N Khayum, JH Shaik Journal of Renewable and Sustainable Energy 16 (5) , 2024 2024 Citations: 7
Investigation of low heat rejection diesel engine run on N,N′ ‐diphenyl‐p‐phenylenediamine antioxidant doped Jatropha methyl ester‐diesel blend KK Pandey, M Sivalingam Environmental Progress & Sustainable Energy 42 (3), e14056 , 2023 2023 Citations: 7
Albizia lebbeck leaf extracted natural antioxidant doped biodiesel–diesel blend in low heat rejection diesel engine KK Pandey, S Murugan Journal of Renewable and Sustainable Energy 15 (1) , 2023 2023 Citations: 7
Thermal and experimental analyses of thermal barrier coated pistons KK Pandey, M S International Journal of Modelling and Simulation 45 (1), 1-19 , 2025 2025 Citations: 6
Effect of Thermal Barrier Coating on Performance and Emissions of a DI Diesel Engine Y Paik, CR Sahu, KK Pandey, SK Barik, S Murugan, D Debasish Small Engine Technology Conference & Exposition , 2020 2020 Citations: 6
Application of acetylene in multi-cylinder low heat rejection diesel engine fueled with ternary blend KK Pandey Energy 311, 133368 , 2024 2024 Citations: 5
Performance and emission studies of a dual-fuel diesel engine in LHR mode P Jami, KK Pandey, M Sivalingam SAE International Journal of Advances and Current Practices in Mobility … , 2022 2022 Citations: 5
Experimental studies of LHR diesel engine fueled with antioxidant doped JME biodiesel blends KK Pandey, P Jami, M Sivalingam WCX SAE World Congress Experience , 2022 2022 Citations: 4
Performance and emission parameters of an LHR engine run on Jatropha biodiesel and its diesel blend SS Nair, KK Pandey, D Debasish, S Murugan 2020 Citations: 3
Performance enhancement and emission reduction in Spark Ignition engines using Carbon Nanotubes and Zinc Oxide hybrid nanoparticles KK Pandey, N Khayum, J Paparao, NK Panday, M Mohan, AS Yadav, ... Environmental Progress & Sustainable Energy 45 (2), e70241 , 2026 2026 Citations: 2
A Review on Production of Biogas by Different Techniques & its Utilisation KK Pandey, R Randa, NK Panday International journal of innovative research in science engineering and … , 2016 2016 Citations: 2
Role of Ammonia as a Sustainable Fuel: Production Methods, Properties, Safety, and Applications in Fuel Cells and IC Engines A Debnath, KK Pandey, P Singh, S Kumar Sustainable, Scalable and Storable E-Fuels for Decarbonising Transport … , 2025 2025 Citations: 1
