Renewable Energy, Sustainability and the Environment, Energy, Biotechnology
11
Scopus Publications
182
Scholar Citations
7
Scholar h-index
6
Scholar i10-index
Scopus Publications
Review of existing control measures for VL and PKDL: Innovative approaches to vector control, case management, vaccine development, and community education Prashant Saxena, Madhvi Saxena, Anukrti Mishra, K. Balashankar Visceral Leishmaniasis and Post Kala Azar Dermal Leishmaniasis Pathogenesis Treatment and Disease Control, 2025 Visceral leishmaniasis (VL), also known as kala-azar, is a severe and potentially fatal parasitic disease caused by protozoan parasites of the Leishmania species. It is transmitted to humans through the bites of infected female sandflies. VL primarily affects internal organs, including the spleen, liver, and bone marrow. It is characterized by symptoms such as prolonged fever, weight loss, enlargement of the spleen and liver (hepatosplenomegaly), anemia, and decreased immune function. VL can manifest with a range of symptoms, including irregular bouts of fever, fatigue, weight loss, and anemia. The most characteristic features are an enlarged spleen (splenomegaly) and liver (hepatomegaly). If left untreated, the disease can be fatal. Treatment of VL usually involves antiparasitic drugs. Sandflies are the primary vectors of Leishmania parasites. Measures to control sandfly populations include indoor residual spraying with insecticides, which target resting sandflies on walls and ceilings. Insecticide-treated bed nets can also help protect individuals from sandfly bites. Environmental modifications, such as reducing breeding sites and improving housing conditions, may also play a role in controlling sandfly populations. Proper case management involves treating VL and post-kala-azar dermal leishmaniasis (PKDL) cases promptly with effective medicines, managing associated complications, and monitoring for relapses. Access to quality healthcare facilities and trained healthcare providers is essential for successful case management. Early diagnosis of VL and PKDL cases is crucial to initiate appropriate treatment and prevent ongoing transmission. This can involve training healthcare workers to recognize VL and PKDL symptoms and use diagnostic tools like slit-skin smears, polymerase chain reaction (PCR), and serological tests. Timely access to appropriate treatment, including newer alternatives like liposomal amphotericin B, can significantly reduce mortality and transmission. A robust surveillance system is necessary to monitor the prevalence, distribution, and trends of VL. Accurate data collection and reporting help authorities allocate resources effectively, plan interventions, and track progress towards control goals. Internet of Things-based modules could be very effective in collecting the data and providing effective measures to prevent the disease. Educating communities about the disease, its transmission, prevention methods, and the importance of seeking early medical care is crucial. Engaging communities in vector control activities and encouraging them to adopt protective behaviours can enhance the effectiveness of control efforts. Ongoing research into new diagnostic tools, treatment options, and vector control methods is essential for improving VL control. Innovations like new drug formulations, vaccines, and novel vector control strategies can have a significant impact on disease reduction. Like VL, establishing a robust surveillance system for PKDL is essential. Accurate reporting and data collection enables health authorities to understand the extent of PKDL prevalence, distribution, and trends. This information is critical for targeted interventions. This book chapter comprises a detailed discussion on disease identification, their control measures, effective available treatments, and the scope of current research and their future outcomes.
Metabolic Engineering in Waste Prevention Prashant Saxena, Madhvi Saxena Sustainable Biotechnological Remedial Frameworks for the Rejuvenation of Heavily Polluted Environments, 2025 Managing waste is one of the most important troubles the world is dealing with these days. A circular economy and sustainable development can be superior with the aid of the microbial conversion of municipal natural waste into beneficial by-products. Sustainable trends in synthetic biology, system biology, and technology provide beneficial gear for addressing mobile-scale problems and helping in the creation of low-cost biorefineries. This e-book bankruptcy addresses the issues and limitations that exist these days with organic waste. It also covers the present-day improvements in metabolic engineering of microorganisms to boost the yield at which urban natural wastes may be bio converted into valuable goods. A few successful case studies of designing powerful microbial lines via metabolic engineering are defined in detail. This chapter discusses organic waste management and provides a complete approach to metabolic engineering.
Improved the efficiency of IoT in agriculture by introduction optimum energy harvesting in WSN Madhvi Saxena, Subrata Dutta 2020 International Conference on Innovative Trends in Information Technology Icitiit 2020, 2020 Internet of Things is the most effective area of research where sensor nodes and smart devices can collect the information from different sources and communicate it with the server without human involvement. In IoT, the main important concept is wireless sensor networks in which data is shared and communicate with the help of sensor nodes. These sensors nodes are distributed randomly in the specified area for collecting and sensing the information of different parameters. This network now a day's effectively used for advance agriculture monitoring and managing many applications automatically through the technology. Sensor nodes have limited energy or back up power so here we use the concept of energy harvesting. These sensor nodes will charge by solar energy and used to monitor the crop management, water management, pesticide monitoring, and climate monitoring. In this paper an IoT based wireless sensor system is proposed which uses the concept of energy harvesting in the area of agriculture for developing, monitoring and controlling the growth and productivity of the system.
Minimizing congestion and improved QoS of AODV using clustering in mobile ad hoc network Neelam Phate, Madhvi Saxena, M.A. Rizvi International Conference on Recent Advances and Innovations in Engineering Icraie 2014, 2014 With the increase in traffic in the network congestion increases, congestion unawareness in mobile ad hoc networks (MANETs) may lead to long delay, high overhead and packet loss which decreases the performance of ad hoc network. Many routing protocols are not congestion aware and this becomes the main design requirement of the routing protocol, which will tackle the problem of congestion and energy usage. This paper proposes an enhancement to the AODV routing protocol that consists of a cluster-based mechanism for supporting congestion control in MANET which provides a QoS aware path. The main feature of this approach is clustering and the selection of the cluster - head is on the basis of the congestion status of the nodes. This protocol is highly efficient in dealing congestion by achieving QoS constraints (good packet delivery ratio, low delay and reduces packet drop) with energy efficiency.
AI Powered Deepfake Voice and Scam Call Detector for Secure Communication M Saxena, O Pote, V Satarkar, Y Bhosale, S Ranjane, G Badkar International Conference on Sustainable Innovation with Artificial … , 2026 2026.0
Metabolic Engineering in Waste Prevention P Saxena, M Saxena Sustainable Biotechnological Remedial Frameworks for the Rejuvenation of … , 2025 2025.0
12 Review of Existing Control P Saxena, M Saxena, A Mishra, K Balashankar Visceral Leishmaniasis and Post-kala-azar Dermal Leishmaniasis: Pathogenesis … , 2025 2025.0
Internet of Things (IoT)-based solutions in environmental monitoring and fixing the intricate issues of industrial wastewater P Saxena, M Saxena Integrated Biotechnological Solutions for the Treatment of Industrial … , 2025 2025.0 Citations: 2
Energy-Efficient and QoS-Aware Cluster-Based Routing in Wireless Sensor Networks: A Hybrid Approach towards Optimal Cluster Head Selection. M Saxena, S Dutta Adhoc & Sensor Wireless Networks 59 , 2024 2024.0 Citations: 3
An Approach to Increase the Lifetime of Traditional LEACH Protocol Using M Saxena, A Sardhara, S Raina Fourth Congress on Intelligent Systems: CIS 2023, Volume 1 1, 133 , 2024 2024.0
Optimal routing using whale optimization and lion optimization algorithm in WSN BKS Madhvi Saxena, Subrata Dutta wireless Networks , 2023 2023.0 Citations: 14
An approach to increase the lifetime of traditional LEACH protocol using CHME-LEACH and CHP-LEACH M Saxena, A Sardhara, S Raina Congress on Intelligent Systems, 133-145 , 2023 2023.0 Citations: 5
Multi-objective Based Route Selection Approach Using AOMDV in MANET BKSSN Madhvi Saxena, Subrata Dutta SN Computer Science 4 , 2023 2023.0 Citations: 10
Genetically modified organisms and foods: perspectives and challenges RB Singh, S Mishra, P Saxena, M Saxena, MMA Smail, SR Velluri Functional Foods and Nutraceuticals in Metabolic and Non-Communicable … , 2022 2022.0 Citations: 5
Comparison of different multi-hop algorithms to improve the efficiency of LEACH protocol M Saxena, A Joshi, S Dutta, KC Mishra, A Giri, S Neogy Wireless Personal Communications 118 (4), 2505-2518 , 2021 2021.0 Citations: 36
An Overview of Internet of Things in Healthcare M Saxena, S Dutta Interoperability in IoT for Smart Systems, 15-44 , 2020 2020.0
Improved the efficiency of IoT in agriculture by introduction optimum energy harvesting in WSN M Saxena, S Dutta 2020 International conference on innovative trends in information technology … , 2020 2020.0 Citations: 38
Energy Efficient Routing Algorithm Using Max-Heap Tree Based Structured Cluster For MANET M Saxena, KJ Mathai, MA Rizvi, N Phate Energy 4 (2) , 2015 2015.0 Citations: 1
Network Lifetime Improvement Using Energy Efficient Multipath ad hoc on demand distance vector routing M Saxena, N Jain IJET 4, 69-73 , 2015 2015.0 Citations: 1
Analysis of clustering algorithms for creation of energy efficient mobile ad hoc network M Saxena, K Mathai International Journal of Advance Foundation and Research in Computer (IJAFRC … , 2014 2014.0 Citations: 9
Minimizing congestion and improved QoS of AODV using clustering in mobile ad hoc network N Phate, M Saxena, MA Rizvi International Conference on Recent Advances and Innovations in Engineering … , 2014 2014.0 Citations: 22
Clustering based energy efficient algorithm using max-heap tree for MANET M Saxena, N Phate, KJ Mathai, MA Rizvi 2014 Fourth International Conference on Communication Systems and Network … , 2014 2014.0 Citations: 35
Improved load balanced and energy efficient ad hoc on demand routing algorithm M Saxena, KJ Mathai Int. J. Comput. Sci. Inf. Technol.(IJCSIT) 5 (6), 7088-7092 , 2014 2014.0 Citations: 1
Binding Pattern of cTAP Binding Epitopes of S-27 Strain with the Common HLA Alleles for the Chikungunya Vaccine Development: An In silico Study P Saxena, M Saxena, S Mishra
MOST CITED SCHOLAR PUBLICATIONS
Improved the efficiency of IoT in agriculture by introduction optimum energy harvesting in WSN M Saxena, S Dutta 2020 International conference on innovative trends in information technology … , 2020 2020.0 Citations: 38
Comparison of different multi-hop algorithms to improve the efficiency of LEACH protocol M Saxena, A Joshi, S Dutta, KC Mishra, A Giri, S Neogy Wireless Personal Communications 118 (4), 2505-2518 , 2021 2021.0 Citations: 36
Clustering based energy efficient algorithm using max-heap tree for MANET M Saxena, N Phate, KJ Mathai, MA Rizvi 2014 Fourth International Conference on Communication Systems and Network … , 2014 2014.0 Citations: 35
Minimizing congestion and improved QoS of AODV using clustering in mobile ad hoc network N Phate, M Saxena, MA Rizvi International Conference on Recent Advances and Innovations in Engineering … , 2014 2014.0 Citations: 22
Optimal routing using whale optimization and lion optimization algorithm in WSN BKS Madhvi Saxena, Subrata Dutta wireless Networks , 2023 2023.0 Citations: 14
Multi-objective Based Route Selection Approach Using AOMDV in MANET BKSSN Madhvi Saxena, Subrata Dutta SN Computer Science 4 , 2023 2023.0 Citations: 10
Analysis of clustering algorithms for creation of energy efficient mobile ad hoc network M Saxena, K Mathai International Journal of Advance Foundation and Research in Computer (IJAFRC … , 2014 2014.0 Citations: 9
An approach to increase the lifetime of traditional LEACH protocol using CHME-LEACH and CHP-LEACH M Saxena, A Sardhara, S Raina Congress on Intelligent Systems, 133-145 , 2023 2023.0 Citations: 5
Genetically modified organisms and foods: perspectives and challenges RB Singh, S Mishra, P Saxena, M Saxena, MMA Smail, SR Velluri Functional Foods and Nutraceuticals in Metabolic and Non-Communicable … , 2022 2022.0 Citations: 5
Energy-Efficient and QoS-Aware Cluster-Based Routing in Wireless Sensor Networks: A Hybrid Approach towards Optimal Cluster Head Selection. M Saxena, S Dutta Adhoc & Sensor Wireless Networks 59 , 2024 2024.0 Citations: 3
Internet of Things (IoT)-based solutions in environmental monitoring and fixing the intricate issues of industrial wastewater P Saxena, M Saxena Integrated Biotechnological Solutions for the Treatment of Industrial … , 2025 2025.0 Citations: 2
Energy Efficient Routing Algorithm Using Max-Heap Tree Based Structured Cluster For MANET M Saxena, KJ Mathai, MA Rizvi, N Phate Energy 4 (2) , 2015 2015.0 Citations: 1
Network Lifetime Improvement Using Energy Efficient Multipath ad hoc on demand distance vector routing M Saxena, N Jain IJET 4, 69-73 , 2015 2015.0 Citations: 1
Improved load balanced and energy efficient ad hoc on demand routing algorithm M Saxena, KJ Mathai Int. J. Comput. Sci. Inf. Technol.(IJCSIT) 5 (6), 7088-7092 , 2014 2014.0 Citations: 1
AI Powered Deepfake Voice and Scam Call Detector for Secure Communication M Saxena, O Pote, V Satarkar, Y Bhosale, S Ranjane, G Badkar International Conference on Sustainable Innovation with Artificial … , 2026 2026.0
Metabolic Engineering in Waste Prevention P Saxena, M Saxena Sustainable Biotechnological Remedial Frameworks for the Rejuvenation of … , 2025 2025.0
12 Review of Existing Control P Saxena, M Saxena, A Mishra, K Balashankar Visceral Leishmaniasis and Post-kala-azar Dermal Leishmaniasis: Pathogenesis … , 2025 2025.0
An Approach to Increase the Lifetime of Traditional LEACH Protocol Using M Saxena, A Sardhara, S Raina Fourth Congress on Intelligent Systems: CIS 2023, Volume 1 1, 133 , 2024 2024.0
An Overview of Internet of Things in Healthcare M Saxena, S Dutta Interoperability in IoT for Smart Systems, 15-44 , 2020 2020.0
Binding Pattern of cTAP Binding Epitopes of S-27 Strain with the Common HLA Alleles for the Chikungunya Vaccine Development: An In silico Study P Saxena, M Saxena, S Mishra
