Currently, He is working as an Assistant Professor at the Dept. of Electrical engineering in NIT Raipur. He has published over 10+ articles/papers in various refereed national/international conferences and journals and serving as a reviewer of several journals (IET PE, IEEE PE, IEEE JESTPE, and Wiley ITEES). His research fields of interest are multilevel inverters, fault tolerance in multilevel inverters, reduced Device Count MLIs, switched capacitor MLIs, power electronics for renewable energy, real-time controllers for power electronic systems, and modulation strategies for power converters, electric vehicles, optimization techniques.
EDUCATION
Niraj Kumar Dewangan was born in India in 1986. He received B. Tech degree in Electronics and Telecommunication from B.P.U.T, Odisha, in 2008. M.Tech in Digital Communication from R.G.P.V, Bhopal, in 2014. Obtained Ph.D. degree in Department of Electrical Engineering, National Institute of Technology, Raipur in 2020. From 2008 to 2012, he was working as Lecturer at the Department of Electronics and Communication Engineering, Sagar Institute of Science and Technology-R (SISTec-R) Bhopal, India.
RESEARCH INTERESTS
Multilevel inverters, fault tolerance in multilevel inverters, reduced Device Count MLIs, switched capacitor MLIs, power electronics for renewable energy, real-time controllers for power electronic systems, and modulation strategies for power converters, electric vehicles, optimization techniques.
47
Scopus Publications
426
Scholar Citations
11
Scholar h-index
12
Scholar i10-index
Scopus Publications
Quad-band SIW antenna with micro-pocket enabled frequency-agile design for 5G/6G IoT applications P. Vaishali, Sounik Kiran Kumar Dash, Rusan Kumar Barik, Mohammad Junaid Khan, Niraj Kumar Dewangan Scientific Reports, 2026 A single polarized substrate integrated waveguide (SIW) cavity supported self-quadruplexing antenna, designed for 5G/6G IoT applications is proposed and prototyped. The model is backed by a rectangular substrate integrated waveguide (RSIW) cavity and features four resonating patches excited separately through four different 50Ω feed lines. The antenna center frequencies are obtained at 3.29 GHz, 4.47 GHz, 5.85 GHz, and 7.07 GHz. Additionally, the cavity is engineered with four sets of micro pockets beneath the patches which can be filled with different materials to offer frequency-agile response. The operating frequencies can be tuned over a wide range between 3.29 GHz and 8.4 GHz as per the required targets. The layout of the model is chosen meticulously to ensure all ports are co-polarized and isolation between any two is better than 32 dB. The proposed antenna design exhibits competitive performances with a compact size of 0.09 λg², Front-To-Back-Ratio (FTBR) above 17.83 dB and peak gain of 7.6 dBi. Importantly, all ports are single polarized for the first time in their class. The performance is validated by an equivalent circuit model and prototype characterization. The proposed antenna specifications and configurations well suit for future high-end applications like IoT/5G/6G/satellite communications.
Moving standard deviation assisted two-terminal traveling wave based fault location estimation technique for transmission system incorporated with UPFC Saswati Mishra, Rupak Kumar, Shweta Kumari, Anita Khanna, Tapan Prakash, Niraj Kumar Dewangan Scientific Reports, 2026 Modern power systems are increasingly complex and vulnerable to disturbances, with transmission line faults being the most frequent and disruptive. Accurate fault location estimation (FLE) is essential to ensure fast system restoration and reliable operation, particularly when flexible AC transmission system (FACTS) devices such as the Unified Power Flow Controller (UPFC) are present. This paper proposes a Moving Standard Deviation (MSD) assisted two-terminal traveling wave (TW) based FLE technique for UPFC-compensated transmission lines. In the proposed approach, terminal voltage signals are transformed into aerial mode signals using Clarke’s transformation, and MSD is applied to identify peak values (PMSDs). These peaks provide estimated times of arrival waves (ETAWs), which are used to compute the fault location. The method is validated on a 500 kV three-machine system with a 100 MVA UPFC under diverse scenarios, including varying fault distances, types, resistances, inception angles, close-in and far-bus faults, UPFC operating modes, sampling frequencies, and noisy environments. Results confirm that the proposed method consistently achieves high accuracy, with percentage errors maintained below 1% even at low sampling rates (60 Hz) and under severe noise (5 dB SNR). The technique is computationally simple, robust against UPFC influences, and offers practical applicability for modern power systems.
Thermal analysis of flat plate solar air heater system with radiation reflectors and W-shaped roughness: artificial neural network & machine learning approach Piyush Kumar Jain, Kawal Lal Kurrey, Vikas Pandey, Jitesh R. Shinde, Abhishek Narayan Tripathi, Niraj Kumar Dewangan Scientific Reports, 2026 The lower thermal behavior of solar-based thermal systems limits the contribution of solar systems to meet current energy demand of industries. The Flat Plate Solar Air Heater (FPSAH) is extensively utilized in many applications requiring reasonable heat but struggles from inherent limitation in convective heat release and mediocre efficiency. In this study, the challenges are addressed with a novel means of dual mode augmented technique. This mode integrated absorber surface of the FPSAH system by introducing two radiation reflectors on either edge of the rectangular channel. Primarily these reflectors forward back the solar irradiance over the absorber plate, thus increasing the actual solar flux. Simultaneously, a W-shaped artificial rib roughness pattern is merged on the underneath (air-side) of the absorber plate. This coarseness is intended to persuade measured flow disorder inside the channel that disrupt the boundary layer development and may consequently augment convective heat transfer. Experimental testing is conducted with different combinations of roughened absorber surface and radiation reflectors. The performance enhancement is evaluated in terms of Nusselt number ( Nu ) and thermal efficiency of the FPSAH system. The maximum Nu achieved is 1.63 times higher using a set of radiation reflectors along with W-shaped roughness on the absorber surface compared to the plain configuration without radiation reflector. Finally, artificial neural network (ANN) and machine learning (ML) algorithms were used to predict Reynolds number in each set of experiments. A very good curve fitting was achieved by the Robust Regression algorithm with $$R^2 = 0.99$$ for the testing dataset and $$R^2 = 0.94$$ by the Random Forest Regression algorithm for ML.
An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning Swati B. Singh, Murtaza Abbas Rizvi, Kanak Saxena, Ramji Gupta, Abhishek N. Tripathi, Niraj Kumar Dewangan Scientific Reports, 2026 The rapid surge of Mobile Ad Hoc Networks (MANETs) stimulates the need for adaptive, intelligent, and secure routing mechanisms to ensure seamless communication in dynamic environments. Traditional routing protocols are battling with security threats such as wormhole attacks that disrupt routing and degrade network performance. To address these challenges, this study outlines a state-of-the-art technique, the Reinforcement Learning-Based Secure Routing Protocol (RLSRP), which leverages adaptive k-hop clustering and deep Q-Networks (DQN) to fine-tune routing decisions dynamically while mitigating security risks. RLSRP unwaveringly measures network condition by evaluating latency variations and anomalies to spot suspicious nodes, thereby enhancing route stability. The protocol implements zone-related clustering where nodes within each zone collaborate to optimise routing paths based on real-time conditions, ensuring energy-efficient communication. Current research investigated deep reinforcement learning methodologies to improve security in zone-related MANETs and ensure efficient data routing in large-scale environments. A detailed simulation-based evaluation depicts the potency of the proposed RLSRP model when compared with other reinforcement learning-based routing protocols. Using a large-scale setup–scaling up to 10 million nodes–with Dask and TensorFlow, the results show that RLSRP consistently outperforms FSSAM, Cluster-RL, and Reputation-based Q-learning in terms of Packet Delivery Ratio (exceeding 99%), reduced latency, and improved energy efficiency. These findings reported RLSRP as a secure and scalable solution for practical MANET routing.
Design and experimental validation of multi-section directional coupler with arbitrary coupling and high directivity for sub-6 GHz UWB applications Shrawan K. Patel, Rusan Kumar Barik, Niraj Kumar Dewangan, Slawomir Koziel Plos One, 2026 This work presents a geometrically simple topology for developing an ultra-wideband directional coupler with improved coupling and directivity. A short-ended coupled-line structure is used to achieve an ultra-wideband, tightly coupled symmetric three-section coupler using the microstrip line technology. The proposed design demonstrates an explicit improvement of approximately 1.2 dB in coupling compared to conventional multi-section directional couplers. Calculated, simulated, and measured responses validate the effectiveness of the proposed configuration in terms of low-ripple coupling bandwidth, low insertion loss, and improved directivity performance compared to respective responses of the conventional structure. Couplers featuring a higher number of sections to implement different bandwidths and couplings can be fabricated using the presented structure due to its transmission line-based approach. A prototype of the three-section directional coupler with coupling of 7.6 dB, 8.1 dB, and 8.3 dB and corresponding bandwidths of 104%, 123% and 133% is designed, fabricated, and measured. The experimental results confirm that the coupler can reliably achieve higher coupling with ultra-wideband response from 0.75 GHz to 3.75 GHz (5:1) with 8.3 ± 1.4 dB (ripple). Additionally, the design yields promising performance with return loss > 16 dB, isolation > 20 dB, a phase difference of 90 ± 4°, and directivity > 30 dB, and the maximum circuit size is 0.067λ 0 2 . This work aligns with SDG 9: Industry, Innovation and Infrastructure by advancing high-performance microwave components that support efficient, reliable, and scalable communication infrastructure.
Fault Detection and Classification in Five-Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System Niraj Kumar Dewangan, Jeevan N. D., Krishna Kumar Gupta, Abhinandan Routray, Hani Vahedi Energy Science and Engineering, 2026 The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle technologies. However, these systems are often susceptible to open‐circuit faults in power switches, which can adversely affect output waveform quality and overall system stability if not detected early. This study presents an intelligent fault detection and localization strategy based on a fuzzy inference system (FIS) for a reduced device count cross‐connected‐source MLI. The proposed diagnostic framework employs output voltage and current signals as diagnostic parameters, enabling precise identification of fault conditions. A comprehensive set of fuzzy rules is developed to differentiate between single and double switch faults under diverse fault inception angles. Real‐time validation is carried out using the dSPACE DS1202 controller in a hardware‐in‐the‐loop environment. The findings confirm that the proposed FIS‐based approach achieves high fault classification accuracy, rapid response time, and strong adaptability across varying operating conditions, highlighting its suitability for real‐time condition monitoring in modern power conversion systems.
Development of a layer-wise in-situ laser-based dimensional monitoring system with post-mechanical characterization of synthesized polylactic acid 3D prints in FDM additive manufacturing Vishal V. Shukla, Yogesh G. Joshi, Niraj Kumar Dewangan Plos One, 2026 High-dimensional accuracy is difficult to obtain in 3D printing techniques such as Fused Deposition Modeling (FDM). The study was conducted in two phases. In the first phase, the causes of dimensional inaccuracy in FDM printing were reviewed and a new Laser-Based Dimensional Measurement System (LDMS) was produced. Two FDM printers, Ultimaker Extended and Creality Ender 3 Pro, were used in experiments to investigate the impacts of material deposition, over-extrusion, print speed, under-extrusion, mechanical vibrations, and temperature variation on dimensional accuracy. The third stage involved the synthesis of PLA material, which was then extruded into a capillary and used for 3D printing by the LDMS system. The printed samples were characterized using tensile, hardness, and flexural tests, as well as XRD, FTIR, SEM, and TG/DA analyses. It was also demonstrated that the LDMS provides in-situ layer-wise dimensional monitoring during intermediate stages of the building process. The obtained PLA polymers were biodegradable and amorphous. It was also noted that the printed parts could withstand lateral loads better than longitudinal loads, and, in compression, they were stronger than in tension.This research work supports SDG 12 (Responsible Consumption and Production) by improving material efficiency and promoting biodegradable PLA.
A Grid-Tied Voltage Boosting Multilevel Inverter With Reduced Voltage Stress and Part Count Kasinath Jena, Chinmoy Kumar Panigrahi, Krishna Kumar Gupta, Dhananjay Kumar, Niraj Kumar Dewangan International Journal of Circuit Theory and Applications, 2026 This paper presents a single‐phase switched‐capacitor (SC)‐based boost inverter topology capable of synthesizing a seven‐level (7L) output using only nine power switches, two capacitors, and a single DC input source. The proposed topology (PT) achieves a voltage gain of 1.5 while ensuring inherent capacitor voltage self‐balancing without the need for complex auxiliary control circuits. A comprehensive analysis of the topology is provided, covering its structural configuration, operational principles, and the embedded self‐balancing mechanism. Furthermore, a comparative evaluation with existing topologies is conducted in terms of voltage stress, component count, and cost function to highlight the advantages and limitations of the PT. The theoretical analysis is validated through simulation using a pulse width modulation (PWM) control scheme. Additionally, power loss calculations and the integration of the proposed inverter into a grid‐connected photovoltaic (PV) system are explored. The feasibility and performance of the proposed 7L design are further confirmed through both static and dynamic experimental testing.
A Novel Five-Level Boost Switched Capacitor Inverter for Renewable Applications Ranjan Kumar, Anand Kumar, Alok Priyadarshi, Kasinath Jena, Niraj Kumar Dewangan International Journal of Circuit Theory and Applications, 2026 This paper introduces a single and three‐phase five‐level switched‐capacitor multilevel inverter (SC‐MLI) topology distinguished by self‐voltage balancing and intrinsic voltage enhancement capabilities. The proposed topology (PT) gets a voltage gain factor of two without needing an extra DC–DC boost converter or transformer. The PT generates a five‐level output voltage using merely eight switches for single‐phase and five switches for per‐phase three‐phase topologies, along with two diodes and two capacitors, thereby providing a more compact, economical, and efficient solution. A thorough comparison with existing SCMLI setups underscores the advantages of the PT. To determine the effectiveness of the proposed approach, extensive simulations and experimental studies have been performed to confirm the efficacy of the PT. The measured efficiency and cost of the PT are 97.84% and $69.04, respectively.
Fault Tolerant Analysis of Single Phase Multilevel Inverter Nishant Dewangan, Manik Jalhotra, Lalit Kumar Sahu, Shivam Prakash Gautam, Shubhrata Gupta Proceedings of 2018 IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2018, 2018
Machine learning-based switch fault localization in multilevel inverter ND Jeevan, NK Dewangan, BM Karthik, KK Gupta, A Khanna, A Routray Energy Reports 15, 109253 , 2026 2026
Design and experimental validation of multi-section directional coupler with arbitrary coupling and high directivity for sub-6 GHz UWB applications SK Patel, RK Barik, NK Dewangan, S Koziel PLoS One 21 (5), e0347748 , 2026 2026
Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System NK Dewangan, J ND, KK Gupta, A Routray, H Vahedi Energy Science & Engineering , 2026 2026
Development of a layer-wise in-situ laser-based dimensional monitoring system with post-mechanical characterization of synthesized polylactic acid 3D prints in FDM additive … VV Shukla, YG Joshi, NK Dewangan PloS one 21 (4), e0346244 , 2026 2026
Quad-band SIW antenna with micro-pocket enabled frequency-agile design for 5G/6G IoT applications P Vaishali, SKK Dash, RK Barik, MJ Khan, NK Dewangan Scientific Reports , 2026 2026
Hybrid Open-Switch Fault Diagnosis in 3-Phase T-Type Inverter ND Jeevan, NK Dewangan, KK Gupta, SK Singla, P Bhatnagar, ... 2026 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 1-4 , 2026 2026
Moving standard deviation assisted two-terminal traveling wave based fault location estimation technique for transmission system incorporated with UPFC S Mishra, R Kumar, S Kumari, A Khanna, T Prakash, NK Dewangan Scientific Reports , 2026 2026
Thermal analysis of flat plate solar air heater system with radiation reflectors and W-shaped roughness: artificial neural network & machine learning approach: PK Jain et al. PK Jain, KL Kurrey, V Pandey, JR Shinde, AN Tripathi, NK Dewangan Scientific Reports , 2026 2026
A Grid‐Tied Voltage Boosting Multilevel Inverter With Reduced Voltage Stress and Part Count K Jena, CK Panigrahi, KK Gupta, D Kumar, NK Dewangan International Journal of Circuit Theory and Applications 54 (2), 981-994 , 2026 2026 Citations: 1
A Novel Five‐Level Boost Switched Capacitor Inverter for Renewable Applications R Kumar, A Kumar, A Priyadarshi, K Jena, NK Dewangan International Journal of Circuit Theory and Applications , 2026 2026
Intelligent Fault Localization of Switches in Multilevel Inverter J ND, NK Dewangan, K BM, KK Gupta, A Routray, A Khanna International Transactions on Electrical Energy Systems 2026 (1), 1148639 , 2026 2026
Machine Learning based Fault Detection and Classification in Multilevel Inverter for Industrial Applications NK Dewangan, ND Jeevan, V Gurjar, K Jena, D Kumar Multilevel Inverter Technology for Renewable Energy Systems: Enhancing … , 2026 2026
An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning: SB Singh et al. SB Singh, MA Rizvi, K Saxena, R Gupta, AN Tripathi, NK Dewangan Scientific Reports , 2025 2025 Citations: 6
Fault Diagnosis of Three-Phase T-Type Multilevel Inverter Based on Variance Analysis ND Jeevan, NK Dewangan, BM Karthik, KK Gupta, AK Sharma, ... 2025 12th National Power Electronics Conference (NPEC), 1-6 , 2025 2025
Open Switch Fault Diagnosis in T-Type Multilevel Inverter using Machine Learning for EV Applications ND Jeevan, NK Dewangan, BM Karthik, KK Gupta, V Gurjar PCIM Asia New Delhi; The Agent of Change for the Indian Power Electronics … , 2025 2025
Self-balanced switched capacitors based thirteen level three-fold multilevel inverter for solar PV applications NK Dewangan, K Jena, TK Tailor, DU Sarkar, M Manohar Scientific Reports 15 (1), 37840 , 2025 2025
Impact of Drying Temperature on the Physicochemical and Functional Properties of Butterfly Pea Flower Powder. J Meher, G Kalusuraman, NK Dewangan, R Meher, S Krishnasamy, ... BioResources 20 (3) , 2025 2025
Fault Detection and Classification in Multilevel Inverter using Machine Learning ND Jeevan, NK Dewangan, BM Karthik, KK Gupta, V Singh 2025 International Conference on Advancements in Power, Communication and … , 2025 2025 Citations: 1
A novel paradigm CNG dual-fuel strategy to reduce engine emission of a CRDI engine: a green fuel and multi-objective optimization approach JK Panda, J Peng, P Deb, S Vadlamudi, NK Dewangan, N Pachauri, ... Journal of Mechanical Engineering (JMechE) 22 (1), 176-190 , 2025 2025 Citations: 3
Bidirectional long‐short‐term memory‐based fractional power system stabilizer: Design, simulation, and real‐time validation A Jha, D Ray, DU Sarkar, T Prakash, NK Dewangan International Journal of Numerical Modelling: Electronic Networks, Devices … , 2024 2024 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
A flying squirrel search optimization for MPPT under partial shaded photovoltaic system N Singh, KK Gupta, SK Jain, NK Dewangan, P Bhatnagar IEEE Journal of Emerging and Selected Topics in Power Electronics 9 (4 … , 2020 2020 Citations: 107
A 3-Φ switched-capacitor-based multilevel inverter with reduced voltage stress and part count K Jena, KK Gupta, D Kumar, NK Dewangan, SR Kabat Electrical Engineering 106 (3), 2679-2690 , 2024 2024 Citations: 45
Approach to synthesis of fault tolerant reduced device count multilevel inverters (FT RDC MLIs) NK Dewangan, S Gupta, KK Gupta IET Power Electronics 12 (3), 476-482 , 2019 2019 Citations: 42
Switched capacitors 9‐level module (SC9LM) with reduced device count for multilevel DC to AC power conversion P Bhatnagar, R Agrawal, N Kumar Dewangan, SK Jain, K Kumar Gupta IET Electric Power Applications 13 (10), 1544-1552 , 2019 2019 Citations: 40
Modified reduced device multilevel inverter structures with open circuit fault‐tolerance capabilities NK Dewangan, KK Gupta, P Bhatnagar International Transactions on Electrical Energy Systems 30 (1), e12142 , 2020 2020 Citations: 29
A new fault-tolerant multilevel inverter topology with enhanced reliability for PV application D Kumar, RK Nema, S Gupta, S Nema, NK Dewangan Arabian Journal for Science and Engineering 47 (11), 14841-14858 , 2022 2022 Citations: 20
Generalized switched-capacitor multilevel inverter topology with self-balancing capacitors K Jena, CK Panigrahi, KK Gupta, D Kumar, NK Dewangan Journal of Power Electronics 22 (9), 1617-1626 , 2022 2022 Citations: 20
Open-circuit fault-tolerance in multilevel inverters with reduced component count NK Dewangan, T Prakash, JK Tandekar, KK Gupta Electrical Engineering 102 (1), 409-419 , 2020 2020 Citations: 18
Fault‐tolerant operation of some reduced‐device‐count multilevel inverters with improved performance NK Dewangan, S Gupta, KK Gupta International Transactions on Electrical Energy Systems 29 (2), e2731 , 2019 2019 Citations: 16
Reliability evaluation of a novel fault tolerant multilevel inverter with reduced components NK Dewangan, D Verma, R Agrawal, D Kumar, KK Gupta Electrical Engineering 105 (3), 1655-1668 , 2023 2023 Citations: 12
A multilevel inverter structure with open circuit fault-tolerant capability NK Dewangan, TK Tailor, R Agrawal, P Bhatnagar, KK Gupta Electrical Engineering 103 (3), 1613-1628 , 2021 2021 Citations: 12
Nine‐level voltage‐doubler bi‐polar module for multilevel DC to AC power conversion P Bhatnagar, R Agrawal, NK Dewangan, SK Jain, KK Gupta IET Power Electronics 12 (15), 4079-4087 , 2019 2019 Citations: 11
A level-doubling network (LDN) for cross-connected sources based multilevel inverter (CCS-MLI) NK Dewangan, V Gurjar, SU Ullah, S Zafar 2014 IEEE International Conference on Power Electronics, Drives and Energy … , 2014 2014 Citations: 8
An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning: SB Singh et al. SB Singh, MA Rizvi, K Saxena, R Gupta, AN Tripathi, NK Dewangan Scientific Reports , 2025 2025 Citations: 6
Bidirectional long‐short‐term memory‐based fractional power system stabilizer: Design, simulation, and real‐time validation A Jha, D Ray, DU Sarkar, T Prakash, NK Dewangan International Journal of Numerical Modelling: Electronic Networks, Devices … , 2024 2024 Citations: 5
Open-switch fault tolerance capabilities of some reduced device count multilevel inverter topologies NK Dewangan, P Bhatnagar, SK Jain, S Gupta, KK Gupta Iranian Journal of Science and Technology, Transactions of Electrical … , 2020 2020 Citations: 5
Seven-Level Single-Phase Reduced Device Count Multilevel Inverter DK Patel, NK Dewangan, D Kumar, A Rathore 2023 IEEE International Students' Conference on Electrical, Electronics and … , 2023 2023 Citations: 4
A Bipolar Multilevel Structure for DC/AC Conversion with Reduced Device Count NK Dewangan, D Kumar, RK Nema, KK Gupta 2021 IEEE 2nd International Conference On Electrical Power and Energy … , 2021 2021 Citations: 4
A novel paradigm CNG dual-fuel strategy to reduce engine emission of a CRDI engine: a green fuel and multi-objective optimization approach JK Panda, J Peng, P Deb, S Vadlamudi, NK Dewangan, N Pachauri, ... Journal of Mechanical Engineering (JMechE) 22 (1), 176-190 , 2025 2025 Citations: 3
Development of Open Switch Fault-Tolerant Capability in CCS-MLI Topology D Kumar, RK Nema, S Gupta, NK Dewangan ECTI Transactions on Electrical Engineering, Electronics, and Communications … , 2022 2022 Citations: 3
