DIKSHA SRIVASTAVA

@jaipur.manipal.edu

Assistant Professor at Department of Biotechnology and Civil Engineering
Manipal University

DIKSHA SRIVASTAVA


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https://researchid.co/dikshasrivastava
I have my teaching and research experience mainly in subjects of Biotechnology and Allied sciences such as Recombinant DNA Technology, Genetics, Molecular Biology, Nutraceuticals, Genetic Engineering, Stem Cell Biology, etc at undergraduate and post graduate levels. I also have experience in the field of research in Bio-conversion technologies used in Renewable Energy Engineering. I also have a handful of research publications, books, book chapters and articles, etc.

EDUCATION

PhD- Life Science
M Tech- Biotechnology
B Tech- Biotechnology

RESEARCH, TEACHING, or OTHER INTERESTS

Agricultural and Biological Sciences, Multidisciplinary, Biotechnology, Genetics
15

Scopus Publications

157

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Role of Artificial Intelligence in Waste Management
    Diksha Srivastava
    Solid Waste Management Challenges Sustainability and Advancements, 2026
    Waste disposal and management is one of the major challenges faced today in attaining sustainable development goals. Due to uncontrolled waste generation either by the domestic or industrial sectors, waste management is the need of the hour. Deteriorating environmental and public health conditions due to improper waste management systems pose a great threat to the current situation. An integrated waste management system combined with artificial intelligence (AI) provides a great solution to improve the current strategies and policies adapted for waste management in most countries. Artificial intelligence not only speeds up the rate of waste management but also improves the quality of management by better identification, segregation and accurate recycling of the waste generated. AI helps not only in waste recycling but also in developing and innovating new technologies as per the situation demand, consumer behavior pattern and waste generation pattern analysis. This chapter will provide a detailed overview of the use of artificial intelligence for efficient waste management for encouraging sustainable development.
  • Construction of g-C3N4 anchored Cu-ZnS hybrid nanostructures for sustainable energy storage and environmental remediation
    Maganti Syamala, Diksha Srivastava, Sachin Dadu Khandekar, T. Porselvi, Muzeeb Khan Patan, Allam Balaram, S. Kumaran
    Research on Chemical Intermediates, 2025
  • IoT-based optical sensor network for precision agriculture
    Amit Sharma, Diksha Srivastava, Ramkumar Krishnamoorthy, Sanjay Kumar Sinha, P. Jhansirani, Amit barve
    Sustainable Computing Informatics and Systems, 2025
  • Climate-Based AI-Powered Precision Irrigation: Sustainably Smart Agriculture Frameworks for Maximum Crop Yields
    Jyoti A. Dhanke, Diksha Srivastava, D. Menaga, Roop Raj, Kambala Vijaya Kumar, Pradeep Jangir, P. Mani
    Remote Sensing in Earth Systems Sciences, 2025
  • Natural Resource Management and Artificial Intelligence for Sustainable Development
    Advances in AI for Cloud Edge and Mobile Computing Applications, 2025
  • Use of Artificial Intelligence in Smart Farming for Selecting the Composition of Smart Manure
    G. Bhupal Raj, Rabi Chandra Mandal, Diksha Srivastava, Abhijeet Das, Mohammed Azim Shaikh, Dhiraj Kapila
    Lecture Notes in Electrical Engineering, 2025
  • Revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency
    V. Malathy, Ajay Prakash Pasupulla, Diksha Srivastava, J. Hymavathi, P. Muthu Pandian, Purnendu Bikash Acharjee
    Smart Innovation Systems and Technologies, 2024
  • Wireless Sensor Network and Internet of Things-based Smart Irrigation System for Farming
    Diksha Srivastava, J. Divya, Appani Sudarshanam, M. Praveen, U. Mutheeswaran, R. Krishnamoorthy
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
    People today are more likely to put their trust in devices that can be operated automatically, one such applicationis in the agricultural sector. The researchers developed an intelligent irrigation control system to help with water conservationand reduce the amount of manual work necessary. As a platformfor the Internet of things (IoT), it takes use of Wireless Sensor Networks (WSN) and a specialized server to do its tasks. In order to increase operational efficiency and production in the agricultural sector, the use of IoT and WSN is being implemented. The purpose of this study is to present a programmed watersystem with a framework for the terrains that will reduce the amount of manual labour while simultaneously optimizing theamount of water used and enhancing crop output. In order tomeet the needs of farmers more efficiently, we offer an algorithmfor autonomous watering. The system's user interface is tailored to the need so farmers, and it delivers data from the field to them via a variety of channels, including a screen-based interface, mobile phones, and a web portal. Among its many successes is a92% increase in accuracy, which translates to a noticeable boost in yields.
  • A Hybrid Deep Learning-Based Remote Monitoring Healthcare System Using Wearable Devices
    Diksha Srivastava, R. Krishnamoorthy, Doradla Bharadwaja, Kavyashree Nagarajaiah, Kazuaki Tanaka, Janjhyam Venkata Naga Ramesh
    5g Based Smart Hospitals and Healthcare Systems Evaluation Integration and Deployment, 2023
    Athletes who push their bodies to the limit need to be in tip-top shape to compete. Before engaging in strenuous activity or competition, they should focus on building a healthy body. The ubiquitous availability of smartphones, recent advancements in computational, and artificial intelligence (AI) technologies, and the rising trends in multimedia and edge computation have all contributed to the emergence of new models and paradigms for wearable devices. Researchers have provided a diverse array of analytical methodologies centering on athlete health; however, neural networks have been applied in just a fraction of the completed investigations. Using recurrent neural networks and wearable technology, we offer a new method for forecasting the health of football players. One of the earliest uses of wearable sensors for athletes’ training and health, the suggested system keeps tabs on the players’ well-being in real time. After feeding the time-step data into a recurrent neural network (RNN) and extracting deep features from it, a set of health prediction results is returned. This study involves a number of experiments, the results of which are dependent on the players’ health data. The proposed method is shown to be practical and reliable through simulation results. The study's algorithms can form the basis of data-driven monitoring and instruction. The chapter finishes with a discussion of potential research approaches and future directions for the smart wearables sector.
  • MACHINE LEARNING AND BLOCK CHAIN MODEL FOR SUPPLYING FOOD PRODUCTS AND MAINTAIN FOOD QUALITY
    B. Nancharaiah, Diksha Srivastava, Sathya Narayanan Velmurugan, Mohit Tiwari, Kanchi Lakshmi, et al.
    Carpathian Journal of Food Science and Technology, 2023
    Businesses in the food industry cannot succeed without an effective means of keeping track of their products' whereabouts. A food monitoring system is a relatively new blockchain-based software that aims to assist in the battle against deception. Many of the systems presently used in the food manufacturing business are inadequate concerning usefulness, adaptability, and dependability. Similar to the preceding case, this part of the supply chain is particularly time-consuming due to the additional intricacies it introduces. When applied to the supply chain system currently under construction, blockchain technology presents a novel idea that is essential in solving the afore mentioned problems. Authors propose a blockchain and machine learning-based food tracing system (BMLFTS) for managing fragile food that integrates cutting-edge developments in blockchain Machine Learning technology (ML), and a fuzzy logic monitoring system built on top of the shelf-life management system. In this case, the technique would be used to track down possibly tainted food items. Bulk condensation loss, storing area needs, and transportation periods are just some of the problems that the proposed system aims to address with the help of blockchain technology. As an example of how AI can be used to handle the complexity of product monitoring, data will be sent over a network. At last, a supply chain is utilizing accurate and reliable data to increase the longevity of a product's expiration life.
  • Impact of Bioinformatics Microarray Gene Structural Rate Analysis (MGSRA) in Gene Therapy using Sequential Gene Pattern Matching (SGPM) for Preventive Medicine
    G. Indira Devi, Diksha Srivastava, Jami Venkata Suman, Prima Dewi Kusumawati, Nisha Rana, Benjamin Isaac Thomson
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
  • Impact of IoT based Autonomous Farming Equipment on Crop Culture and Management in the Agricultural Sector
    Navin Kumar, Alka Singh, Deepak Das, Diksha Srivastava, Venkata Syamala Raju Talari, Amardip Diwakar Kurukwar
    International Conference on Edge Computing and Applications Icecaa 2022 Proceedings, 2022
  • Enhancing the Accuracy of Forest Monitoring Through AI to Reduce Carbon Footprint
    Ravindra Pandey, Diksha Srivastava, Rubar H. Dizayee, Alina Lobanova, Fazle Rabbi, Pankaj Ramesh Sutkar
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
  • Biomethanation of Aloe Vera Waste for Energy Production
    Diksha Srivastava, Deepak Sharma, Nafisa Ali
    Lecture Notes in Mechanical Engineering, 2021
  • Finite Difference-Based Conduction Model of Weld Pool for Laser and TIG Welding
    B. Vikas Kumar Reddy, S. Murugan, A. V. G. Reddy, A. C. Wali, D. Srivastava
    Lecture Notes in Mechanical Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Natural Resource Management and Artificial Intelligence for Sustainable Development
    A Kulshrestha, D Srivastava, M Angulakshmi, S Tripathi, MZM Nomani
    Advances in AI for Cloud, Edge, and Mobile Computing Applications, 285-304 , 2025
    2025
  • IoT-based optical sensor network for precision agriculture
    A Sharma, D Srivastava, R Krishnamoorthy, SK Sinha, P Jhansirani
    Sustainable Computing: Informatics and Systems 46, 101112 , 2025
    2025
    Citations: 2
  • Technological Interventions: Mechanization and Post-production Technologies for the Stakeholders
    A Pandey, PK Mishra, S Chaudhary, M Chowdhury, AK Ansh, A Kumar, ...
    Indian Agriculture: Challenges, Priorities and Solutions, 243-281 , 2025
    2025
    Citations: 1
  • Climate-Based AI-Powered precision irrigation: sustainably smart agriculture frameworks for maximum crop yields
    JA Dhanke, D Srivastava, D Menaga, R Raj, KV Kumar, P Jangir, P Mani
    Remote Sensing in Earth Systems Sciences 8 (1), 161-172 , 2025
    2025
    Citations: 48
  • Use of Artificial Intelligence in Smart Farming for Selecting the Composition of Smart Manure
    GB Raj, RC Mandal, D Srivastava, A Das, MA Shaikh, D Kapila
    International Conference on Data Science, Machine Learning and Applications … , 2023
    2023
  • A hybrid deep learning–based remote monitoring healthcare system using wearable devices
    D Srivastava, R Krishnamoorthy, D Bharadwaja, K Nagarajaiah, K Tanaka, ...
    5G-Based Smart Hospitals and Healthcare Systems, 1-18 , 2023
    2023
    Citations: 13
  • Revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency
    V Malathy, AP Pasupulla, D Srivastava, J Hymavathi, PM Pandian, ...
    International Conference on Mechanical and Energy Technologies, 141-151 , 2023
    2023
    Citations: 1
  • MACHINE LEARNING AND BLOCK CHAIN MODEL FOR SUPPLYING FOOD PRODUCTS AND MAINTAIN FOOD QUALITY.
    B Nancharaiah, D Srivastava, SN Velmurugan, M Tiwari, KL Lakshmi, ...
    Carpathian Journal of Food Science & Technology 15 , 2023
    2023
    Citations: 1
  • Assessment of suitable vegetation indices calculated from remote and proximal sensing to discriminate irrigation treatments
    A Matese, D Srivastava, CB Maniyar, P Toscano, SF Di Gennaro
    Precision agriculture'23, 947-953 , 2023
    2023
  • Wireless sensor network and internet of things-based smart irrigation system for farming
    D Srivastava, J Divya, A Sudarshanam, M Praveen, U Mutheeswaran, ...
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 22
  • CARPATHIAN JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
    KLL Tiwari, R Bakhare
    2023
  • Novel Approach Of Breast Cancer Detection Based On Wireless Communication System.
    MH Hara Suthan, D Srivastava, P Rohith, H Kaur, A Balaram
    Journal of Pharmaceutical Negative Results 14 , 2023
    2023
    Citations: 2
  • Impact of IoT based autonomous farming equipment on crop culture and management in the agricultural sector
    N Kumar, A Singh, D Das, D Srivastava, VSR Talari, AD Kurukwar
    2022 International Conference on Edge Computing and Applications (ICECAA … , 2022
    2022
    Citations: 5
  • Enhancing the accuracy of forest monitoring through AI to reduce carbon footprint
    R Pandey, D Srivastava, RH Dizayee, A Lobanova, F Rabbi, PR Sutkar
    2022 4th International Conference on Inventive Research in Computing … , 2022
    2022
    Citations: 8
  • Impact of Bioinformatics Microarray Gene Structural Rate Analysis (MGSRA) in Gene Therapy using Sequential Gene Pattern Matching (SGPM) for Preventive Medicine
    GI Devi, D Srivastava, JV Suman, PD Kusumawati, N Rana, BI Thomson
    2022 4th International Conference on Inventive Research in Computing … , 2022
    2022
  • Successful Implementation of Polymer Flood in Aishwariya Field, Rajasthan, India-Concept to Full Field
    AK Singh, PR Vegesna, D Prasad, SC Kachodi, S Lohiya, D Srivastava, ...
    Abu Dhabi International Petroleum Exhibition and Conference, D041S106R003 , 2021
    2021
    Citations: 5
  • Advances in Biofuel Technology: A Review
    DD Srivastava
    IOSR Journal of Engineering (IOSRJEN) 11 (4), 32-41 , 2021
    2021
    Citations: 7
  • Advances in Mechanical Processing and Design
    P Pant, SK Mishra, PC Mishra
    Springer , 2021
    2021
    Citations: 16
  • Biomethanation of Aloe Vera Waste for Energy Production
    D Srivastava, D Sharma, N Ali
    Advances in Mechanical Processing and Design: Select Proceedings of ICAMPD … , 2020
    2020
    Citations: 3
  • ZIF‐8‐Nanocrystalline Zirconosilicate Integrated Porous Material for the Activation and Utilization of CO 2 in Insertion Reactions
    D Srivastava, P Rani, R Srivastava
    Chemistry–An Asian Journal 15 (7), 1132-1139 , 2020
    2020
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Climate-Based AI-Powered precision irrigation: sustainably smart agriculture frameworks for maximum crop yields
    JA Dhanke, D Srivastava, D Menaga, R Raj, KV Kumar, P Jangir, P Mani
    Remote Sensing in Earth Systems Sciences 8 (1), 161-172 , 2025
    2025
    Citations: 48
  • Wireless sensor network and internet of things-based smart irrigation system for farming
    D Srivastava, J Divya, A Sudarshanam, M Praveen, U Mutheeswaran, ...
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 22
  • Advances in Mechanical Processing and Design
    P Pant, SK Mishra, PC Mishra
    Springer , 2021
    2021
    Citations: 16
  • A hybrid deep learning–based remote monitoring healthcare system using wearable devices
    D Srivastava, R Krishnamoorthy, D Bharadwaja, K Nagarajaiah, K Tanaka, ...
    5G-Based Smart Hospitals and Healthcare Systems, 1-18 , 2023
    2023
    Citations: 13
  • ZIF‐8‐Nanocrystalline Zirconosilicate Integrated Porous Material for the Activation and Utilization of CO 2 in Insertion Reactions
    D Srivastava, P Rani, R Srivastava
    Chemistry–An Asian Journal 15 (7), 1132-1139 , 2020
    2020
    Citations: 13
  • Enhancing the accuracy of forest monitoring through AI to reduce carbon footprint
    R Pandey, D Srivastava, RH Dizayee, A Lobanova, F Rabbi, PR Sutkar
    2022 4th International Conference on Inventive Research in Computing … , 2022
    2022
    Citations: 8
  • Use of de-oiled groundnut cake flour as an alternate source of nutrition
    D Srivastava, AN Mathur, MK Shirshat
    Internat. J. Agric. Engg 11 (1), 150-152 , 2018
    2018
    Citations: 8
  • Advances in Biofuel Technology: A Review
    DD Srivastava
    IOSR Journal of Engineering (IOSRJEN) 11 (4), 32-41 , 2021
    2021
    Citations: 7
  • Impact of IoT based autonomous farming equipment on crop culture and management in the agricultural sector
    N Kumar, A Singh, D Das, D Srivastava, VSR Talari, AD Kurukwar
    2022 International Conference on Edge Computing and Applications (ICECAA … , 2022
    2022
    Citations: 5
  • Successful Implementation of Polymer Flood in Aishwariya Field, Rajasthan, India-Concept to Full Field
    AK Singh, PR Vegesna, D Prasad, SC Kachodi, S Lohiya, D Srivastava, ...
    Abu Dhabi International Petroleum Exhibition and Conference, D041S106R003 , 2021
    2021
    Citations: 5
  • Biomethanation of Aloe Vera Waste for Energy Production
    D Srivastava, D Sharma, N Ali
    Advances in Mechanical Processing and Design: Select Proceedings of ICAMPD … , 2020
    2020
    Citations: 3
  • IoT-based optical sensor network for precision agriculture
    A Sharma, D Srivastava, R Krishnamoorthy, SK Sinha, P Jhansirani
    Sustainable Computing: Informatics and Systems 46, 101112 , 2025
    2025
    Citations: 2
  • Novel Approach Of Breast Cancer Detection Based On Wireless Communication System.
    MH Hara Suthan, D Srivastava, P Rohith, H Kaur, A Balaram
    Journal of Pharmaceutical Negative Results 14 , 2023
    2023
    Citations: 2
  • Silica Gel, a value added product production from Rice Husk Ash
    D Srivastava, N Ali, D Sharma
    Journal of Emerging Technologies and Innovative Research 5 (9), 260-266 , 2018
    2018
    Citations: 2
  • Technological Interventions: Mechanization and Post-production Technologies for the Stakeholders
    A Pandey, PK Mishra, S Chaudhary, M Chowdhury, AK Ansh, A Kumar, ...
    Indian Agriculture: Challenges, Priorities and Solutions, 243-281 , 2025
    2025
    Citations: 1
  • Revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency
    V Malathy, AP Pasupulla, D Srivastava, J Hymavathi, PM Pandian, ...
    International Conference on Mechanical and Energy Technologies, 141-151 , 2023
    2023
    Citations: 1
  • MACHINE LEARNING AND BLOCK CHAIN MODEL FOR SUPPLYING FOOD PRODUCTS AND MAINTAIN FOOD QUALITY.
    B Nancharaiah, D Srivastava, SN Velmurugan, M Tiwari, KL Lakshmi, ...
    Carpathian Journal of Food Science & Technology 15 , 2023
    2023
    Citations: 1
  • Natural Resource Management and Artificial Intelligence for Sustainable Development
    A Kulshrestha, D Srivastava, M Angulakshmi, S Tripathi, MZM Nomani
    Advances in AI for Cloud, Edge, and Mobile Computing Applications, 285-304 , 2025
    2025
  • Use of Artificial Intelligence in Smart Farming for Selecting the Composition of Smart Manure
    GB Raj, RC Mandal, D Srivastava, A Das, MA Shaikh, D Kapila
    International Conference on Data Science, Machine Learning and Applications … , 2023
    2023
  • Assessment of suitable vegetation indices calculated from remote and proximal sensing to discriminate irrigation treatments
    A Matese, D Srivastava, CB Maniyar, P Toscano, SF Di Gennaro
    Precision agriculture'23, 947-953 , 2023
    2023

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Copyright registered on title “SOLAR PV POWER INTEGRATED SMART GRID BASED ENERGY MANAGEMENT SYSTEM” with registration number: 1196634 on 5th October, 2022.

Patent Application accepted on 12/2/21 for patent on “System and Method of Real- Time Image Retrieval” with application number: 202111003796.