Mukesh Kumar

@vgu.ac.in

Assistant Professor
Vivekananda Global University Jaipur

Mukesh Kumar


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https://researchid.co/kumar.mukesh
Dr. Mukesh Kumar holds a PhD degree in Manufacturing & Industrial Engineering from the Department of Mechanical Engineering, Career Point University, Kota, India. M.Tech from MNIT Jaipur and B.E. from Govt. Engineering College Kota. Currently, he serves as an Assistant Professor at the College of Engineering, Vivekananda Global University, Jaipur, Rajasthan, India, with over 14 years of experience in higher education, Dr. Kumar has demonstrated expertise in teaching.

EDUCATION

PhD, M.Tech, B.E.

RESEARCH, TEACHING, or OTHER INTERESTS

Industrial and Manufacturing Engineering, Mechanical Engineering
71

Scopus Publications

316

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Differential geometry-based harmonic analysis of three-phase systems
    Nitin Sundriyal, Padmanabh Thakur, Ashutosh Dixit, Sandeep Gupta, Mukesh Kumar
    Scientific Reports, 2026
    This study presents an advanced framework for harmonic analysis in three-phase systems based on differential geometry principles. The proposed method employs the Frenet frame to geometrically represent voltage and current waveforms as spatial curves, establishing a consistent foundation for power computation under unbalanced and dynamically changing conditions. Compared to conventional approaches such as Clarke and Park transforms, this framework demonstrates improved accuracy in handling asymmetrical operating scenarios. The methodology is validated through extensive simulation using ERPI-DOE test signals, confirming its robustness and computational efficiency. The outcomes highlight the potential of the proposed approach to enhance power quality assessment and strengthen control strategies in modern power converter systems.
  • ICAG-Net: An Interactive CNN–Transformer Architecture With Attention-Guided Gated Fusion for Crop Disease Detection
    Kapil Arvind Chavan, Uttam U. Deshpande, Sudhindra B. Deshpande, Sowmyashree H. Srinivasaiah, Mukesh Kumar, Sukhdev B. Waghmode
    Engineering Reports, 2026
    Smart agriculture based on the use of Artificial Intelligence for crop disease detection to ensure food security. Fungal disease is one of the major causes that affects the quality of the vegetables. Convolutional neural networks (CNNs) and vision transformers (ViTs) enable the detection of crop diseases at an early stage, allowing farmers to take preventive measures and minimize further losses. The proposed method introduces an ensemble of Custom CNN to understand multilevel local features and Pretrained ViT to capture global dependencies as well as contextual information from the dataset. An interactive cross attention module (ICAM) facilitates bidirectional information exchange between CNN and transformer token representations, while an attention guided gated fusion (AGGF) mechanism adaptively combines complementary features. The Indian Crop Visual Disease Dataset (ICVDD‐5) has been developed in a real field for the proposed work with the help of domain experts. The dataset contains 880 diverse images depicting both healthy and diseased specimens of five vegetable crops. The crops selected for this research initiative include Brinjal, Cabbage, Chili, Okra, and Tomato. These five crops are examined for about 21 distinct disease classes. Comprehensive ablation studies are conducted to prove the contributions of each architectural component, including CNN‐only, ICAM‐disabled, and AGGF‐disabled configurations. Experimental results demonstrate that the proposed ICAG‐Net achieves a test accuracy of approximately 70%–73% with improved macro‐F1 score compared to baseline CNN models under identical training settings. The novelty of this work lies in an extensible solution for real world crop disease diagnosis systems and offers insights into hybrid CNN–transformer architectures for small scale agricultural datasets.
  • Advancing micro- and nanoplastics mitigation: functional materials, hybrid treatment trains, and TEA-LCA pathways for sustainable water systems
    Yuvarajan Devarajan, Raja T, Shakti Prakash Jena, Mukesh Kumar, Sunil Kumar M, Swati Prajapati, Yuvaraja Naik, Ravikumar Jayabal, Kulmani Mehar
    Chemical Engineering Journal Advances, 2026
    • Hybrid trains remove >95% microplastics while limiting fouling. • Functional membranes cut irreversible fouling and stabilize flux. • Magnetic/biochar adsorbents rapidly capture MNPs and are reusable. • Coagulation pre-treatment lowers membrane energy and cleaning demand. • TEA–LCA shows multi-barrier systems need energy–carbon optimization. Micro- and nanoplastics (MNPs) have become enduring pollutants in aquatic ecosystems, posing escalating threats to biological communities and human well-being and necessitating advanced separation methodologies. Functional membranes and engineered adsorbents with customized surface chemistry, wettability, and porosity have demonstrated significant potential for extracting MNPs from potable water, sewage, and industrial discharges. This review meticulously scrutinizes recent progress in MNP-focused separation materials and system architectures, accentuating the influence of particle size, polymeric composition, environmental degradation, and biofilm interactions on removal efficacy. Polymeric, ceramic, and hybrid membranes, in conjunction with mineral- and bio-derived adsorbents, are evaluated concerning antifouling capacity, regeneration potential, and compatibility with concurrent contaminant removal. Emerging process configurations, including membrane bioreactors, dynamic filtration systems, and hybrid adsorption–oxidation methodologies, are examined with respect to hydraulic performance, fouling progression, and energy requirements. The review underscores that aggregation or immobilization should not be misconstrued as genuine eradication, emphasizing the necessity for enduring containment strategies. Principal challenges, such as material deterioration, secondary microplastic formation, analytical ambiguity, and limited techno-economic evaluations, are discussed. Aligned with Sustainable Development Goals 6 and 12, this work proposes an integrated framework amalgamating advanced materials, optimized system architecture, and digital oversight for sustainable MNP abatement.
  • Hybrid GRA–Machine Learning Framework for Surface and Performance Optimization of Ti49.3Ni50.7 SMA in Biomedical Applications
    Adik M. Takale, Uday A. Dabade, Mukesh Kumar, B. Vinod, Manjunath G. Avalappa, Uttam U. Deshpande, Kishor K. Powar
    Engineering Reports, 2026
    Shape memory alloys (SMAs), such as Ti49.3Ni50.7, are well known for their remarkable mechanical and biocompatibility with human bone tissues. Thus, creating research opportunities in innovative machining processes using these alloys to design high‐quality biomedical implants using these alloys. However, this alloy's complex thermo‐mechanical reaction makes the standard machining process more challenging. To overcome this problem, we propose an enhanced Wire Electrical Discharge Machining (WEDM) process specifically designed to produce Ti49.3Ni50.7 orthopedic components. The effects of five important machining elements were investigated using a systematic experimental framework based on a Taguchi L18 orthogonal design. Gray relational analysis (GRA) was used to optimize both surface roughness and material removal rate, while Random Forest Regression combined with Bayesian optimisation was used to improve to optimal condition predictions. An experimental validation confirmed the surface roughness of 1.298 μm and a material removal rate of 2.537 mm 3 /min. To evaluate the post‐machining surface integrity, SEM, XRD, microhardness profiling, and residual stress analysis were used. The results revealed reduced tensile stress concentrations, enhanced hardness gradients, and minimal recast layer formation. Bending recovery tests confirmed that the alloy's shape memory behavior was restored by post‐machining annealing. This comprehensive strategy creates a reliable and scalable framework for the high‐precision TiNi‐based orthopedic implant production.
  • Studies on Tribological and Mechanical Behavior of AlSi10Mg Processed by Selective Laser Melting
    Reema Sultana, Vijee Kumar, Mukesh Kumar, Narayanaswamy K. Saddashivareddy, Shamanth Vasanth, Manjunath G. Avalappa, Rayappa Shrinivas Mahale, Lokamanya Chikmath
    Engineering Reports, 2026
    The wear performance of additively manufactured (AM) AlSi10Mg components is critical for their deployment in tribological applications, yet a comparative analysis of the wear behavior under as‐built, T6, and stress‐relief (SR) conditions remains insufficiently explored. To broaden the industrial adoption of AM components, it is crucial to evaluate their wear behavior, as this underpins reliability and safety while promoting creativity in both design and material choices. This research examines the wear characteristics of the AlSi10Mg alloy created using Selective Laser Melting (SLM), evaluated in the as‐built condition and following T6 and SR heat treatments. The microstructural variations under these three states were analyzed using scanning electron microscopy (SEM). The0020as‐built specimens exhibited the highest hardness (137.3 HV), due to the presence of a refined α‐Al cellular framework embedded with Si particles generated by rapid solidification. Heat treatment altered this structure, leading to Si phase coarsening and a corresponding reduction in hardness to 103.35 HV in the T6 condition and further down to 73.75 HV in the SR condition. Wear experiments were carried out under applied loads ranging from 5 to 15 N (max load 15 N) for a duration of 300 s, along with assessments of the coefficient of friction (COF), the surface morphology following wear, and the loss of material. The findings indicated that the as‐built specimens consistently demonstrated lower wear volume loss across all load levels in comparison to the samples that underwent heat treatment. Additionally, the heat‐treated specimens developed compressive residual stresses, while the as‐built SLM parts primarily exhibited tensile stresses.
  • High Cadmium Contamination in the Biological Samples of the Exposed Subjects in the Kosi Plain Region of Bihar
    Deeksha Verma, Arun Kumar, Tejasvi Pandey, Radhika Agarwal, Kanhaiya Kumar, Mohammad Ali, Abhinav Srivastava, Shivam Kumar, Nikhil Kumar, Pushkar Kumar, Mukesh Kumar, Dhruv Kumar, Ashok Sharma, Akhouri Bishwapriya, Manisha Singh, Ashok Kumar Ghosh
    Exposure and Health, 2026
  • Integration of Aerial and Edge Technologies with Other Emerging Technologies
    Urvinder Kaur, Neeraj Gupta, Neha Bhatia, Ashima Arya, Mukesh Kumar
    Edge Computing and Aerial Platforms, 2026
    Many future applications and real-world scenarios are either completely absent or only partially integrated in current computer platforms, such as edge and cloud computing. In order to get over the constraints that prevent these kinds of applications, business and academics are focusing on developing a complete computing paradigm. Nevertheless, because there has been little study, there is a gap in the literature, and a thorough computer paradigm has not yet been methodically created and examined. In an effort to close the gap, this chapter presents a unique idea known as aerial computing—combining aerial radio access networks and edge computing. In particular, we first suggest a revolutionary all-encompassing computing architecture comprising platforms for satellite computing, high-altitude computing, low-altitude computing, and conventional computer systems. Subsequently, we comprehend that airborne computing provides several advantageous features, including enhanced mobility, more scalability and availability, simultaneous operations, and worldwide computing services. Second, we go over all of the major technologies—such as artificial intelligence, big data, frequency spectrum, edge computing, energy replenishing, and multi-access strategies—that make airborne computing possible. We also include vertical domain applications backed by aerial computing, such as smart factories, smart grids, smart cars, and smart cities. Lastly, we list a number of issues that require attention along with potential fixes.
  • Micro and nanoplastics in terrestrial ecosystems: pathways, health implications, and mitigation strategies
    Yuvarajan Devarajan, Raja T, Mukesh Kumar, Ajay Kumar, Aditya Kishore Dash, Shivendu Saxena, Roshita, Kulmani Mehar, Ravikumar Jayabal
    Environmental Pollutants and Bioavailability, 2026
  • Comparative study of heuristic algorithms for coordination of industrial over current relays with nonstandard characteristics in microgrid protection
    Ekta Gairola, Mahiraj Singh Rawat, Padmanabh Thakur, Sandeep Gupta, Mukesh Kumar
    Scientific Reports, 2025
    The traditional methods for over-current relay coordination (OCR) may not be adequate to ensure consistent and dependable operation of microgrid (MG), in its various operating modes. In this work, optimal TMS settings for OCRs in a microgrid model have been obtained using SCA & mod WOA. OCRs with non-standard characteristics have been used as it is less investigated in literature. The results obtained are compared with those in standard literature using GA. It is found that the total time of operation (t op ) of relays reduces to 5.1676 s for operating mode 1(OM1), for operating mode 2 (OM2) t op value reduces to 14.8376 s and the t op reduces to 13.9448 s for operating mode 3 (OM3) by using SCA as compared to the values in standard literature considered here. The top of all individual relays in all the OMs is reduced in case of SCA as compared to the standard literature. At the same time the CTI for all relay pairs is maintained greater than 0.3 s, which is essential for relay coordination. The results using mod WOA are not satisfactory as far as the reduction in t op is concerned for various operating modes, though the OCR coordination is achieved. SCA & mod WOA coding in MATLAB is used to optimize time multiplying setting (TMS) for OCR coordination. The International Electrotechnical Commission (IEC) microgrid benchmark system is implemented in DIgSILENT Powerfactory 2018 software to investigate the various operating modes of microgrid.
  • Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing
    Gurpreet Singh, Jaspreet Singh, Sapna Juneja, Yonis Gulzar, Deepali Gupta, Kayhan Zrar Ghafoor, Mukesh Kumar
    Discover Internet of Things, 2025
    Increasing availability of cost effective IoT (Internet of Things) devices have led to the development of IoT- based farm management systems. Smart Agriculture is a demanding approach that employs the use of technology-enabled information and communication to monitor farms. In India, somewhere around 60% of the organization’s operations mostly dependent on agriculture directly or indirectly. A nation’s advancement is typically influenced by concerns with agriculture. The most effective approach to addressing agriculture’s challenges is always to improve traditional agricultural practices as well as modernize them into smart agriculture. The smart agriculture technique offers beneficial data collection, highly precise control as well as automated monitoring strategies. This research proposed a IoT assisted fog-based model that promises to provide the cost-effective smart agriculture system. Fog platform brings computation and storing nearer at the network’s the border, allowing for the efficient processing of data produced by IoT devices across smart agricultural systems. The bibliometric evaluation of the Web of Science database for the adoption of the IoT-Fog base infrastructure in the creation of smart agriculture systems is also highlighted in this paper. The proposed solution when implemented as well as when contrasted with existing IoT-based agriculture system exhibit better efficiency. The result revealed that proposed system brings down response time, error rate and standard deviation to significant level and improves the accuracy of current system exponentially.
  • Assessment of Dimensional Fidelity in 3D Printed PLA Casting Patterns via Laser Scanning
    Naik Dhairyashil Ashok, Manjunath G. Avalappa, Anand S. Deshpande, Jeevan T. Puttaswamy, Mukesh Kumar
    Engineering Reports, 2025
  • Experimental, Statistical, and ANN Analysis of Solid and Circular Perforated Fins Array Under Forced Convection
    B. B. Ganesha, G. V. Naveen Prakash, Manjunath G. Avalappa, Mukesh Kumar, B. Vinod
    Engineering Reports, 2025
  • An Integrated Experimental and Machine Learning Approach for Machinability Assessment and Tool Life Prediction in Drilling of 14NiCr10 Alloy Using AlTiN-Coated Carbide Tools
    Adik M. Takale, Uday A. Dabade, Manjunath G. Avalappa, Uttam U. Deshpande, Mukesh Kumar
    Engineering Reports, 2025
  • Perspectives on recent breakthroughs in laser powder bed fusion for metal additive manufacturing
    Naveen Kumar Rajendran, Sanjay Kumar, Trapty Agrawal, Mukesh Kumar, Prabhukumar Sellamuthu, Amit Gantra
    Progress in Additive Manufacturing, 2025
  • Improving Abrasion Resistance of Carbon-Epoxy Hybrid Composites With Silicon Nitride Fillers
    Vinod B., Prem Chand R., Vasanth Kumar H. S., Jagannatha Reddy H. N., Manjunath G. Avalappa, Somashekar H. M., Bharath Basavaraj Pattanashetty, Mukesh Kumar
    Engineering Reports, 2025
  • Prevalence of tobacco use, legal awareness and control attitudes among healthcare students, professionals and staff: A multicentric study in India
    Bijit Biswas, Saurabh Varshney, G Jahnavi, Venkata Lakshmi Narasimha, Santanu Nath, Vinayagamoorthy Venugopal, Sudip Bhattacharya, Arshad Ayub, Benazir Alam, Ujjwal Kumar, Niwedita Jha, , Sweta Suman, Rahul Chandra, Navin Kumar, Sanjay Kumar, Geetika Singh, Animesh Gupta, Madhupriya, Soni Rani, Arun Kumar Pandey, Vikash Chandra Mishra, Arpita Rai, Amit Vasant Mahuli, Anit Kujur, Sanjay Kumar, Nidhi Prasad, Jarina Begum, Swati Shikha, Abhishek Kumar, Deependra Kumar Rai, Pramod Kumar, Shibajee Debbarma, Minti Kumari, Rachna Raj, Anil Raj, Randhir Kumar, Sravanthi Malempati, Vijay Kumar, Sanjay Kumar, Sri Krishna, Ankur Bhargava, Nishad Gawali, Tulika Singh, Prachi Priya, Arun Kumar, Neha Chaudhary, Lovely Kumari, Ravi Prakash, BS Suma, Nirmala Kumari, Shailendra Kumar, Nikhil Nishant, Qamrul Khan, Mayank Raj, Dhananjay Kumar, Chandramani Kumar, Rakhi Kumari, Rishabh Kumar Rana, Ravi Ranjan Jha, UK Ojha, Mukesh Kumar, Mrinal Ranjan Srivastava, Pragyan Das, Prakash Ranjan, Sukesh Kumar, Vikrant Kumar Singh, Kashif Shahnawaz, Birendra Kumar, Ganesh Kumar, Naveen Kumar, Aman Kishor, Rajnish Kumar, Abhay Simba, Arjun Choudhary, Bishnu Deo Goel
    Journal of Public Health, 2025
  • Nicotine dependence, quit intentions, and cessation efforts among daily tobacco-using healthcare students, professionals, and staff in Eastern India: Insights from a multicentric study
    Bijit Biswas, Saurabh Varshney, G Jahnavi, Venkata Lakshmi Narasimha, Santanu Nath, Vinayagamoorthy Venugopal, Sudip Bhattacharya, Arshad Ayub, Benazir Alam, Ujjwal Kumar, Niwedita Jha, and
    Family Practice, 2025
  • Data-Driven Fault Diagnosis of Drilling Tools: Methods and Applications
    Chandan M. N, Himadri Majumder, Sharad S. Mulik, Nikhil Rangaswamy, Mukesh Kumar, et al.
    Engineering Reports, 2025
  • Development and characterization of an epoxy matrix composite reinforced with Al2O3 embedded banyan fibers for secondary structural applications
    Baskar S, Ganesan Subbiah, Padma Priya G, Guntaj J, Mukesh Kumar, Kamakshi Priya K, Nandagopal Kaliappan
    Results in Engineering, 2025
  • An efficient data sheet based parameter estimation technique of solar PV
    K. M. Charu, Padmanabh Thakur, Nikita Rawat, Fahim Ansari, Sandeep Gupta, Mukesh Kumar
    Scientific Reports, 2024
  • Manganese pollution in eastern India causing cancer risk
    Arun Kumar, Rajiv Kumar, Govind Kumar, Kanhaiya Kumar, Nirmal Kumar Chayal, Siddhant Aryal, Mukesh Kumar, Abhinav Srivastava, Mohammad Ali, Vivek Raj, Akhouri Bishwapriya, Muskan Manjari, Deepak Kumar, Santosh Kumar, Manisha Singh, Ashok Kumar Ghosh
    Scientific Reports, 2024
  • High arsenic contamination in the breast milk of mothers inhabiting the Gangetic plains of Bihar: a major health risk to infants
    Arun Kumar, Radhika Agarwal, Kanhaiya Kumar, Nirmal Kumar Chayal, Mohammad Ali, Abhinav Srivastava, Mukesh Kumar, Pintoo Kumar Niraj, Siddhant Aryal, Dhruv Kumar, Akhouri Bishwapriya, Shreya Singh, Tejasvi Pandey, Kumar Sambhav Verma, Santosh Kumar, Manisha Singh, Ashok Kumar Ghosh
    Environmental Health A Global Access Science Source, 2024
  • Novel technique of vibration minimization during hard machining
    Aditi D. Apte, Shivakumar Shivamurthy, Manjunath G Avalappa, Nikhil Rangaswamy, Ashwini S. Shinde, Satish S. Kulkarni, Mukesh Kumar
    Engineering Reports, 2024
  • Energy Management System of Wind and Photovoltaic based Hybrid Nanogrid
    Sheryl Gupta, Girija Shankar Sahoo, Mukesh Kumar, Beemkumar N
    E3s Web of Conferences, 2024
  • Three Level Inverter based DTC of Induction Motors Utilizing RCPWM
    Monika Abrol, Shweta Singh, Mukesh Kumar, Kuldeep Singh Kulhar
    E3s Web of Conferences, 2024
  • Severe Disease Burden and the Mitigation Strategy in the Arsenic-Exposed Population of Kaliprasad Village in Bhagalpur District of Bihar, India
    Arun Kumar, Kanhaiya Kumar, Mohammad Ali, Vivek Raj, Abhinav Srivastava, Manishankar Kumar, Pintoo Kumar Niraj, Mukesh Kumar, Rishav Kumar, Dhruv Kumar, Akhouri Bishwapriya, Ranjit Kumar, Suresh Kumar, Gautam Anand, Santosh Kumar, Maiko Sakamoto, Ashok Kumar Ghosh
    Biological Trace Element Research, 2024
  • Retraction Notice: Forecasting the Impact of Deep Learning on Data Science Practices: A Comprehensive Analysis (2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) DOI: 10.1109/ICCCNT61001.2024.10724599)
    Kalyan Acharjya, C Devaraj Verma, B Umamaheswari, Priya M. Shelke, Mukesh Kumar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
  • Forecasting the Impact of Deep Learning on Data Science Practices: A Comprehensive Analysis
    Kalyan Acharjya, C Devaraj Verma, B Umamaheswari, Priya M. Shelke, Mukesh Kumar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
  • Retracted: Forecasting the Impact of Deep Learning on Data Science Practices: A Comprehensive Analysis (2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) DOI: 10.1109/ICCCNT61001.2024.10724599)
    Kalyan Acharjya, C Devaraj Verma, B Umamaheswari, Priya M. Shelke, Mukesh Kumar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
  • A Review on the Role of Microrobots and Nanorobots used in Healthcare Domain
    Shravan Kumar, Praveen Kumar, Rajan Kumar, Mukesh Kumar, Dhiraj Kumar, Gulshan Kumar
    2024 Parul International Conference on Engineering and Technology Picet 2024, 2024
  • A Review on Role of IoT and Machine Learning in Agriculture
    Gulshan Kumar, Vishal Kumar Choudhary, Shravan Kumar, Rajan Kumar, Mukesh Kumar, Palash M. Gourshettiwar
    7th International Conference on Inventive Computation Technologies Icict 2024, 2024
  • Arsenic causing gallbladder cancer disease in Bihar
    Arun Kumar, Mohammad Ali, Vivek Raj, Arti Kumari, Mahesh Rachamalla, Som Niyogi, Dhruv Kumar, Ashok Sharma, Amit Saxena, Ghanish Panjawani, Preeti Jain, Ajay Vidyarthi, Navin Kumar, Mukesh Kumar, Pintoo Kumar Niraj, Md. Samiur Rahman, Akhouri Bishwapriya, Ranjit Kumar, Maiko Sakamoto, Santosh Kumar, Manisha Singh, Ashok Kumar Ghosh
    Scientific Reports, 2023
  • A study to identify the factors influencing learning orientation on service innovation framework of Delhi Metro Rail Corporation
    Yogendra Pal Bharadwaj, Mukesh Singh
    International Journal of Public Sector Performance Management, 2023
  • Strategies and Policies Making for the Improvement is Efficiency Level of PV
    Mukesh Kumar, Vikas Sagar, R. Savitha
    2023 International Conference on Power Energy Environment and Intelligent Control Peeic 2023, 2023
  • A Brief Review on Estimation and Forecasting of Grid System in Sustainable Micro Grid System Integration
    Raman Batra, Bhuvana J, Mukesh Kumar
    2023 International Conference on Power Energy Environment and Intelligent Control Peeic 2023, 2023
  • Implementation framework for cellular manufacturing system using BWM multi-criteria decision making
    Jeyaraju Jayaprakash, E. Madhavan Pillai, Vikrant Sharma, Mukesh Kumar
    International Journal of Process Management and Benchmarking, 2023
  • Modelling of green manufacturing barriers using a survey-integrated decision-making approach
    Vikrant Sharma, , Mukesh Kumar, Prasenjit Chatterjee, Ernesto D.R. Santibanez Gonzalez, , , and
    Reports in Mechanical Engineering, 2023
  • Bibliometric – thematic analysis and a technology-enabler-barrier-based framework for digital supply chain
    Vikrant Sharma, Satyajit Anand, Mukesh Kumar, Manjula Pattnaik
    International Journal of Value Chain Management, 2023
  • Modelling of green manufacturing enablers using integrated MCDM approach for Ethiopian manufacturing industry
    Mukesh Kumar, Rahul Jain, Vikrant Sharma, M.L. Meena
    Materials Today Proceedings, 2023
  • An Efficient Deep Learning Model for Intraoperative Tissue Classification in Gynecological Cancer
    Rahul Mishra, Mukesh Kumar, Brindha S, Aman Kumar Sharma, Ch. Raja, Tejashree Tejpal Moharekar
    IEEE 9th International Conference on Smart Structures and Systems Icsss 2023, 2023
  • Investigate the Role of Reinforcement Learning in Optimizing Big Data Retrieval Speed
    Chitrakant O. Banchhor, Mukesh Kumar, Savita, R Kavitha, G. Arun Francis, S. Sathiya Naveena
    Proceedings 2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario Icpsitiags 2023, 2023
  • Leveraging Neural Networks to Enhance Large-Scale Data Processing Performance
    Megha Pandey, Vinay Kumar S B, Jatin Khurana, B. Kalpana, Kishor R. Pathak, Mukesh Kumar
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
  • Exploring the Impact of Modulation Schemes on High-Speed Spectrum Management via Fiber Optics
    Akhilendra Pratap Singh, Vaishnavi R, Mukesh Kumar, Kanika Seth, Gayathri C, Vaishali A. Mishra
    1st International Conference on Emerging Research in Computational Science Icercs 2023 Proceedings, 2023
  • The Effect of Green Manufacturing Practices on Green Achievement in the Ethiopian Manufacturing Industry: A Structural Equation Modelling Study
    Mukesh Kumar, Atul Kumar, Vikrant Sharma
    Process Integration and Optimization for Sustainability, 2022
  • Assessment of disease burden in the arsenic exposed population of Chapar village of Samastipur district, Bihar, India, and related mitigation initiative
    Arun Kumar, Md. Samiur Rahman, Mohammad Ali, Pascal Salaun, Arthur Gourain, Suresh Kumar, Ranjit Kumar, Pintoo Kumar Niraj, Mukesh Kumar, Dhruv Kumar, Akhouri Bishwapriya, Shreya Singh, Krishna Murti, Sameer Dhingra, Maiko Sakamoto, Ashok Kumar Ghosh
    Environmental Science and Pollution Research, 2022
  • Performance Study and Development of a 5-Axis C.N. C. Machine
    Mukesh Kumar, Rajesh Baitha, Santosh Kumar, Rajneesh Kaushal
    Proceedings 2022 International Conference on Computational Modelling Simulation and Optimization Iccmso 2022, 2022
  • A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector
    Gargi Pant Shukla, Santosh Kumar, Mukesh Kumar, Ankit Kumar, Manoj Chhetri
    Journal of Advanced Transportation, 2022
  • Design and Fabrication of Solar Dryer System for Food Preservation of Vegetables or Fruit
    Ankit Kumar, Kamred Udham Singh, Mukesh Kumar Singh, Alok Kumar Singh Kushwaha, Abhishek Kumar, Shambhu Mahato
    Journal of Food Quality, 2022
  • Arsenic exposure in Indo Gangetic plains of Bihar causing increased cancer risk
    Arun Kumar, Mohammad Ali, Ranjit Kumar, Mukesh Kumar, Prity Sagar, Ritu Kumari Pandey, Vivek Akhouri, Vikas Kumar, Gautam Anand, Pintoo Kumar Niraj, Rita Rani, Santosh Kumar, Dhruv Kumar, Akhouri Bishwapriya, Ashok Kumar Ghosh
    Scientific Reports, 2021
  • A framework based on BWM for big data analytics (BDA) barriers in manufacturing supply chains
    Vikrant Sharma, Atul Kumar, Mukesh Kumar
    Materials Today Proceedings, 2021
  • The effect of service quality on commuters’ satisfaction towards the adoption of metro services: A case study of delhi metro rail corporation
    International Journal on Emerging Technologies, 2020
  • Employees perception towards market orientation and its impact on firm performance: exploratory factor analysis
    Mukesh Kumar Singh
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • Effect of FACTS devices on congestion management using active reactive power rescheduling
    S.k. Gupta, N.K. Yadav, Mukesh Kumar
    2018 2nd IEEE International Conference on Power Electronics Intelligent Control and Energy Systems Icpeices 2018, 2018
  • Computer aided closed die design and manufacturing for open end wrench
    International Journal of Mechanical Engineering and Technology, 2018
  • Analysis of performance of natural draft cooling tower at optimized injection height
    International Journal of Mechanical Engineering and Technology, 2018
  • Optimal single cylinder engine crankshaft subjected to dynamic loading
    International Journal of Mechanical Engineering and Technology, 2018
  • Development of bidding strategies using genetic algorithm in deregulated electricity market
    Naresh Kumar Yadav, Mukesh Kumar, Deepesh Sharma, Anju Bala, Gunjan Bhargava
    Iccccm 2016 2nd IEEE International Conference on Control Computing Communication and Materials, 2017
  • Profit calculation of strategic producer
    Naresh Kumar Yadav, Mukesh Kumar, Deepesh Sharma, Gunjan Bhargava, Anju Bala
    Iccccm 2016 2nd IEEE International Conference on Control Computing Communication and Materials, 2017
  • Implementation of particle swarm optimization in bidding strategy under deregulated environment
    Naresh Kumar Yadav, Mukesh Kumar, Deepesh Sharma, Anju Bala, Gunjan Bhargava
    Iccccm 2016 2nd IEEE International Conference on Control Computing Communication and Materials, 2017
  • Group search optimiser-based optimal bidding strategies with no Karush–Kuhn–Tucker optimality conditions
    Naresh Kumar Yadav, Mukesh Kumar, S. K. Gupta
    Journal of Experimental and Theoretical Artificial Intelligence, 2017
  • Effect of moderate aerobic exercise training on autonomic functions and its correlation with the antioxidant status
    Indian Journal of Physiology and Pharmacology, 2015
  • Failure analysis of coal mill using FMEA in thermal power plant
    International Journal of Applied Engineering Research, 2014
  • Effect of stress on academic performance in medical students - A cross sectional study
    Indian Journal of Physiology and Pharmacology, 2014
  • A retrospective analysis of acute organophosphorus poisoning cases admitted to the tertiary care teaching hospital in South India
    MRajesh Kumar, GP Vignan Kumar, SSatish Kumar, BV Subrahmanyam, M Veeraprasad, P Rammohan, M Srinivas, PRamesh Babu, Amit Agrawal
    Annals of African Medicine, 2014
  • Association of abdominal fat with blood pressure in normal healthy subjects
    Journal Indian Academy of Clinical Medicine, 2013
  • Effect of sun exposure on blood pressure in human subjects
    Asian Journal of Microbiology Biotechnology and Environmental Sciences, 2012
  • Interaction between non-steroidal anti-inflammatory drugs and H2 blockers in normal rats
    Biomedicine India, 2009
  • Comparison of serum apolipoprotein levels between normal and in children of patients of vascular complications
    Asian Journal of Microbiology Biotechnology and Environmental Sciences, 2008
  • A study of the effects of ammonium hydroxide on medical students in biochemistry practical laboratory
    Biomedicine, 2008
  • Interaction between nonsteroidal anti-inflammatory drugs and anti-histaminics in normal rats
    Biomedicine, 2008
  • Association between ABO blood groups and coagulation in healthy young adults: A prospective study
    Biomedicine, 2008

RECENT SCHOLAR PUBLICATIONS

  • Micro and nanoplastics in terrestrial ecosystems: pathways, health implications, and mitigation strategies
    Y Devarajan, R T, M Kumar, A Kumar, AK Dash, S Saxena, Roshita, ...
    Environmental Pollutants and Bioavailability 38 (1), 2627065 , 2026
    2026
    Citations: 2
  • AChE Inhibition Drives Sex and Region Specific Changes in Brain ACh Dynamics for Chemical Warfare Neurotoxicity (Abstract ID: 232695)
    M Kumar, I Yu, M Ewell, B Kangas, RI Desai
    The Journal of Pharmacology and Experimental Therapeutics 393 (5) , 2026
    2026
  • Synergistic Herbal Nanoemulsions for Psoriasis Inflammation: Design Innovations, Characterization Methods, and Mechanistic Insights in Topical Therapy
    A Pundir, M Kumar, R Singh
    Drug Delivery Letters , 2026
    2026
  • Effect of Humic Acid and Nitrogen Levels on yield attributes and yield of Basmati Rice.
    C Chaubey, S Kumar, BP Dhyani, M Kumar, SP Singh, Y Kumar, ...
    Ecology, Environment & Conservation (0971765X) 31 , 2025
    2025
  • Perspectives on recent breakthroughs in laser powder bed fusion for metal additive manufacturing
    NK Rajendran, S Kumar, T Agrawal, M Kumar, P Sellamuthu, A Gantra
    Progress in Additive Manufacturing 10 (9), 6593-6603 , 2025
    2025
    Citations: 3
  • Conceptual Agricultural Microbiology
    Y Kumar, RK Naresh, PK Singh, M Kumar, SP Singh, D Chaudhari, ...
    CRC Press , 2025
    2025
  • Comparative study of heuristic algorithms for coordination of industrial over current relays with nonstandard characteristics in microgrid protection
    E Gairola, MS Rawat, P Thakur, S Gupta, M Kumar
    Scientific Reports 15 (1), 16020 , 2025
    2025
    Citations: 4
  • Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing
    G Singh, J Singh, S Juneja, Y Gulzar, D Gupta, KZ Ghafoor, M Kumar
    Discover Internet of Things 5 (1), 49 , 2025
    2025
    Citations: 7
  • P338–Characterization of small renal masses using Tc 99m sesta-mibi spect CT: A novel approach
    GA Toshib, A Sachan, M Tripathi, M Kumar
    European Urology 87, S345-S346 , 2025
    2025
  • Acetylcholinesterase Inhibition Produces Sex and Regional Differences in Brain Neurochemistry: Implications for Chemical Warfare (Abstract ID: 167385)
    M Kumar, I Yu, M Ewell, BD Kangas, RI Desai
    The Journal of Pharmacology and Experimental Therapeutics 392 (3) , 2025
    2025
  • Evaluation of water footprint under Dalbergia sissoo+ Emblica offcinalis–based agroforestry model
    Y Kumar, A Thakur, DK Patel, R Kumar, M Kumar, TK Thakur
    Water Footprints, 145-165 , 2025
    2025
  • Navigating the complexities of climate justice: the loss and damage fund in focus
    M Waggy, M Kumar
    International Journal of Environment and Climate Change 14 (12), 13-25 , 2024
    2024
    Citations: 1
  • Supply chain efficiency and performance measurement in the automotive sector: Content analysis and future research directions
    V Sharma, K Sharma, M Kumar, P Chatterjee
    Journal of Decision Analytics and Intelligent Computing 4 (1), 121-135 , 2024
    2024
    Citations: 4
  • Effect of Crop Establishments Methods and Nutrient Management on Productivity and Profitability of Rice (Oryza sativa L.)
    P Kumar, Y Kumar, S Kumar, SP Singh, M Kumar
    International Journal of Plant & Soil Science 36 (9), 344-355 , 2024
    2024
  • Sustainable energy efcient workfow classifcation and scheduling in geo distributed cloud datacenter
    MK Anu Priya Sharma, Jaspreet Singh, Yonis Gulzar, Deepali Gupta
    Discover Sustainability 128, https://doi.org/10.1007/s43621-024-00308 , 2024
    2024
  • Smart Irrigation Using Arduino
    S Priadharshini, R Kavipriya, M Kumar, S Hariram, V Kiruthika
    2024 International Conference on Science Technology Engineering and … , 2024
    2024
    Citations: 2
  • An efficient data sheet based parameter estimation technique of solar PV
    SGMK K. M. Charu, Padmanabh Thakur, Nikita Rawat, Fahim Ansari
    Scientific Reports 14 (Article number: 6461 (2024)) , 2024
    2024
    Citations: 16
  • The Enduring Legacy of the Pala Empire: A Renaissance of Culture, Knowledge, and Heritage
    M KUMAR
    SHODHKOSH: JOURNAL OF VISUAL AND PERFORMING ARTS Учредители: Granthaalayah … , 2024
    2024
    Citations: 1
  • IMPACT OF CRUCIFER PLANT EXTRACTS ON AFLATOXIN B1-TREATED MAIZE SEEDS ON SEEDLING GROWTH
    M KUMAR, G PRASAD
    SHODHKOSH: JOURNAL OF VISUAL AND PERFORMING ARTS Учредители: Granthaalayah … , 2024
    2024
    Citations: 1
  • Physico-chemical properties of soil as influenced by nano and bio sources of fertilizers in maize crop
    S Roy, M Kumar, DAS Vivek, DRA SINGH, DRS SINGH, DRB SINGH, ...
    INTERNATIONAL JOURNAL 8 (9), 1079-1082 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Bibliometric-thematic analysis and a technology-enabler-barrier-based framework for digital supply chain
    V Sharma, S Anand, M Kumar, M Pattnaik
    International Journal of Value Chain Management 14 (1), 34-61 , 2023
    2023
    Citations: 29
  • Boosting of fruit choices using machine learning-based pomological recommendation system
    M Dutta, D Gupta, S Juneja, A Shah, A Shaikh, V Shukla, M Kumar
    SN Applied Sciences 5 (9), 241 , 2023
    2023
    Citations: 27
  • An efficient and cost effective method of RNA extraction from mucilage, phenol and secondary metabolite rich bark tissue of tossa jute ( C. olitorius L.) actively …
    SB Choudhary, M Kumar, I Chowdhury, RK Singh, SP Pandey, ...
    3 Biotech 6 (1), 100 , 2016
    2016
    Citations: 19
  • Silicone finger prostheses for single finger partial amputations: Two case reports
    VB Kamble, RG Desai, D Panigrahi, M Kumar
    Indian Journal of Dentistry 5, 128-134 , 2014
    2014
    Citations: 17
  • An efficient data sheet based parameter estimation technique of solar PV
    SGMK K. M. Charu, Padmanabh Thakur, Nikita Rawat, Fahim Ansari
    Scientific Reports 14 (Article number: 6461 (2024)) , 2024
    2024
    Citations: 16
  • A framework based on BWM for big data analytics (BDA) barriers in manufacturing supply chains
    V Sharma, A Kumar, M Kumar
    Materials Today: Proceedings 47, 5515-5519 , 2021
    2021
    Citations: 16
  • Modelling of green manufacturing enablers using integrated MCDM approach for Ethiopian manufacturing industry
    M Kumar, R Jain, V Sharma, ML Meena
    Materials Today: Proceedings , 2023
    2023
    Citations: 13
  • Discrete cosine transform vs discrete wavelet transform: An objective comparison of image compression techniques for JPEG encoder
    VS Rao, DPR Kumar, GVH Prasad, MP Kumar, S Ravichand
    International Journal of Advanced Engineering and Applications, 87-90 , 2010
    2010
    Citations: 13
  • Dragon fly algorithm based approach for escalating the security among the nodes in wireless sensor network based system
    S Sharma, A Kaur, D Gupta, S Juneja, M Kumar
    SN Applied Sciences 5 (12), 376 , 2023
    2023
    Citations: 12
  • The effect of green manufacturing practices on green achievement in the Ethiopian manufacturing industry: A structural equation modelling study
    M Kumar, A Kumar, V Sharma
    Process Integration and Optimization for Sustainability 6 (4), 1103-1116 , 2022
    2022
    Citations: 12
  • Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing
    G Singh, J Singh, S Juneja, Y Gulzar, D Gupta, KZ Ghafoor, M Kumar
    Discover Internet of Things 5 (1), 49 , 2025
    2025
    Citations: 7
  • Bioactive compounds from fruits as preservatives. Foods, 12 (2), 343
    PE Munekata, M Pateiro, R Domínguez, G Nieto, M Kumar, K Dhama, ...
    2023
    Citations: 7
  • An ocular prosthesis for a geriatric patient: A case report
    VKB KamBle, M Kumar, D Panigrahi
    Journal of clinical and diagnostic research: JCDR 7 (6), 1236 , 2013
    2013
    Citations: 7
  • Modelling of green manufacturing barriers using a survey-integrated decision-making approach
    V Sharma, M Kumar, P Chatterjee, EDRS Gonzalez
    Reports in Mechanical Engineering 4 (1), 256-275 , 2023
    2023
    Citations: 6
  • Recent applications of laser in orthodontics
    PT Lepcha, AA Nakib, V Nair, M Kumar, D Garai
    Int J Med Sci Cur Res 5 (5), 26-32 , 2022
    2022
    Citations: 6
  • In Plant Phenolics in Abiotic Stress Management, 369–390
    K Sharma, M Kumar, D Chandran
    Springer , 2023
    2023
    Citations: 5
  • An experimental study on stabilization of clayey soil reinforced with banana fibre
    M Kumar, M Hussain, K Vikas, S Prasad, R Upadhyay
    Educ Adm: Theory Pract 29 (4), 1587-1597 , 2023
    2023
    Citations: 5
  • Study of green manufacturing practices through survey-ordinal regression analysis and development of theoretical framework for Ethiopian manufacturing industries
    M Kumar, A Kumar, V Sharma
    International Journal of Mathematics in Operational Research 25 (2), 186-207 , 2023
    2023
    Citations: 5
  • Documentation of Commonly Used Ethnoveterinary Medicines from Wild Plants of the High Mountains in Shimla District, Himachal Pradesh. India. Horticulturae, 7 (10): 351
    P Prakash, M Kumar, A Pundir, S Puri, S Prakash, N Kumari, M Thakur, ...
    2021
    Citations: 5
  • Correction of gummy smile in a patient of vertical maxillary excess using absolute anchorage system
    E Lahoti, P Choudhury, A Nakib, M Kumar
    APOS Trends in Orthodontics 8 (1), 44-44 , 2018
    2018
    Citations: 5