Dr. Rahul Jalinder Jadhav

@bvuniversity.edu.in

Associate Professor Department of Computer Application
Bharati Vidyapeeth (Deemed to be university) Pune

Dr. Rahul Jalinder Jadhav


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https://researchid.co/rahuljadhav

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Multidisciplinary
10

Scopus Publications

253

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • MicroEthics: Harnessing Small Data Intelligence to Recode Big Data Ethics for a Responsible Digital Future
    Rahul Jalinder Jadhav, Kondragunta Rama Krishnaiah, Suhalekhya Immadisetty, Jayendra Gopal Thatipudi, Lalitha Palthiya, Shrikant Upadhyay
    Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026, 2026
    The exponential growth of big data has revolutionized AI, yet it has simultaneously triggered ethical concerns involving over-collection, privacy erosion, opaque decision-making, and algorithmic bias. Here, the paper proposes changing the paradigm of data maximalism to small data intelligence (SDI)-based MicroEthics, which is more ethical-minimalist, transparent, and stakeholder-trustful. The proposed system does not use massive datasets but rather uses ethically curated low volume data with context, processed on interpretable AI models embedded on federated learning environments. There is a custom lightweight decision engine, Symbolic Decision Matrix Engine (SDME), that makes decisions without compromising privacy or explanations. In several fields such as healthcare, finance, and digital governance, the MicroEthics was compared to the conventional big data pipelines. The findings demonstrate a federated model accuracy of 93.2 with privacy compliance score of 0.97 that is better than centralized big data systems with privacy compliance score of 0.71. MicroEthics Ethical Risk Scores were 0.91, which is significantly more than 0.65 of the traditional models. Stakeholder ratings ensured increased transparency (0.93) and user trust (0.91) using MicroEthics than the big data methods. This paper confirms that MicroEthics is a practical ethical framework that unites the utility of AI with human values. Not only does it show similar performance, but it goes higher in terms of ethical compliance and reliability than those that are already in place. The solution is scalable, modular and easily applicable in areas where moral accountability and data sensitivity are paramount. The results promote the concept of a responsible transition to ethical AI frameworks that do not rely on the quantity of data, but on data virtue.
  • Big Data and Quantum Neural Network-Based Reliable Safety Ensurity of Wireless Network
    Sajja Suneel, Rahul Jalinder Jadhav, M. Bindhu, Shirish Jain, Vijay Bhanudas Gujar, Mahammad Idrish I. Sandhi
    Artificial Intelligence and Sustainable Networks Innovations Beyond 5g, 2026
    We explore the applications of quantum computers and algorithms in the Industrial Internet of Things (IioT) sector and provide a unique quantum technique to assure the safety and reliability of wireless network device decision-making. The suggested quantum system is shown to be adaptable and versatile in two case examples. The quantum optimization algorithm (QOA) solves complex transportation and shipping problems in smart industrial logistic systems in the first case study. A financial sector quantum neural network (Q-NN) efficiently handles price-related data for smart factory forecasts and opportunity identification in the second case study. The suggested quantum system, including device, edge, fog, and cloud layers, gathers, assesses, and uses quantum-enhanced data for decision-making to simulate and optimize smart factories across sectors. Quantum technology’s revolutionary potential in information processing, secure data transport, and quantum machine learning is also studied. Case studies show that the quantum method is feasible and effective, suggesting sector-changing reforms. The findings show that quantum technology will improve optimization, machine learning, and data analysis, ushering in a new computer era. IBM Quantum Lab’s Qiskit software experiments show that these quantum algorithms are implemented and perform well, enabling the integration of compact quantum computers at the edge to improve smart factory scalability, quality, and cost-effectiveness while establishing self-learning optimized architectures.
  • A Novel AI-Driven Connectivity Framework for Autonomous Transportation in 6G Environments
    Rahul Jalinder Jadhav, R. Mohandas, Aviral Mishra, M. Kamaraju, Jayendra Gopal Thatipudi, R. Aarthi
    Artificial Intelligence and Sustainable Networks Innovations Beyond 5g, 2026
    The modern explosion of autonomous transport requires extremely successful, low-delay, and smart connection infrastructures to empower fast vehicular correspondence and choice-making. The chapter introduces NeuroMobility-6G: an AI-powered connectivity framework that supports next-generation 6G environments and integrates deep learning, federated edge intelligence, neuro-symbolic reasoning, and blockchain-based security. The proposed system integrates real-time multimodal sensor fusion technology, 6G-enabled vehicle-to-everything (V2X) communications, and spatiotemporal learning models to preemptively predict the connectivity status and autonomously regulate operations. Lightweight AI models, such as TinyTransformer and MobileNet (running at edge nodes), improve the decision latency, and federated learning can guarantee the provision of distributed training but with model privacy. The neuro-symbolic cognitive engine blends deep neural forecasts and symbolic reasoning and legal constraints to interpretable decision-making. The analysis of experimental settings proves the supremacy of the framework with 97.8% accuracy in predicting connectivity, 96.2% connectivity accuracy of edges, and 99.9% accuracy of all blockchain-based communication traced/tampered. In comparison to the traditional 5G models, NeuroMobility-6G has an 80% or less latency, the reliability of the link increased to 99.5%, and it could operate strongly under dynamic conditions involving vehicles. And it extends to real-life deployment because, in addition to giving performance, the integrated architecture also provides trust, resilience, and scalability. The presented work offers an end-to-end and modular framework for next-generation autonomous mobility, where ultra-fast communication and real-time cognition meet.
  • Blockchain-Enabled Trust Management in UAV-Assisted Wireless Sensor Networks
    Rahul Jalinder Jadhav, Sajja Suneel, Manjunath B E, Shiv Shakti Shrivastava, Gopinath D, S Gnanamurugan
    Proceedings of the 4th International Conference on Innovative Mechanisms for Industry Applications Icimia 2025, 2025
  • Revolutionizing Collaboration: HoloSync 5G's Real-Time Holographic Magic
    Rahul Jalinder Jadhav, G Chandra Sekhar, Khushal Devghare, Laiphrakpam Jibanpriya Devi, Aarthi R, R Ramesh
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
    The HoloSync 5G Hybrid Model represents a groundbreaking solution for real-time holographic communication, integrating 5G infrastructure, advanced machine learning techniques, and dynamic compression algorithms. This model designed to address the challenges of high latency, bandwidth constraints, and rendering inconsistencies in global remote collaboration. The system leverages Multi-Access Edge Computing (MEC) for low-latency data processing, while adaptive encoding and decoding ensure seamless data transmission. Experimental results demonstrate a 44% reduction in latency and a 41% improvement in bandwidth utilization compared to baseline systems. Rendering fidelity significantly enhanced, with a 9.41% increase in SSIM (0.93) and 11.78% improvement in PSNR (42.7 dB). User satisfaction ratings average 4.8/5, reflecting the intuitive design and clarity of the holographic experience. Scalability testing confirmed consistent performance, even in sessions with up to 50 users. These results validate the HoloSync model as a robust and efficient platform for applications such as telemedicine, remote education, and industrial collaboration. The study concludes with promising insights into the potential of hybrid intelligence and 5G advancements to redefine real-time holographic communication.
  • DeepSentiment: Unlocking Insights from Twitter Data with Advanced Deep Learning Analytics
    Mahammad Idrish I. Sandhi, M. Amina Begum, Rahul Jalinder Jadhav, Jnaneshwar Pai Maroor, Ankushavali MD, Venkateshmurthy B. S
    Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2024, 2024
    Sentiment analysis learning systems incorporate both textual tweets and reviews. The hybrid model is a combination of the support-vector-machine (SVM), the Long Short-Term Memory (LSTM), and convolution-neural-network (CNN). Each method was tested for reliability and its computational time was measured. When deep-learning (DL) and SVM are merged, it outperforms both approaches on all datasets. DL algorithms have recently proved to offer significant promise in sentiment analysis. Hyperparameter tuning and monitoring for LSTM takes more time but yields better results than for CNN. The integrated model's efficacy varied from job to job, but in every case it outperformed the alternatives. LSTM networks, CNNs, and SVMs are required for DL-SA strategies. All three methods-SVM, LSTM, and CNN-were evaluated for their accuracy and error rates using a hybrid model. The proposed model has been found to be accurate to within 6.76 percentage points of the true value.
  • Internet of Things Enabled Gas Leakage Detection Over Industrial Areas using Powerful MQ Series Sensor and Controller
    Rahul Jalinder Jadhav, P. Radhakrishnan, Dattatraya Arun Jadhav, B Ashreetha, J. Divya, Saptarshi Mukherjee
    7th International Conference on Inventive Computation Technologies Icict 2024, 2024
    This work presents a comprehensive overview of an Internet of Things (IoT)-enabled gas leakage detection system deployed in industrial areas using powerful MQ series gas sensors and controllers. The primary objective is to enhance safety measures by providing real-time monitoring and rapid response capabilities to potential gas leaks. The system incorporates MQ2, MQ7, and MQ135 gas sensors strategically placed in different zones within the industrial facility, capable of detecting a wide range of gases. These sensors continuously collect data, which is then transmitted to a centralized controller for analysis and decision-making. The system's architecture allows for remote accessibility, enabling authorized personnel to monitor sensor readings and take timely actions from anywhere with an internet connection. The MQ series gas sensors provide accurate and dynamic measurements of gas concentrations, including flammable hydrocarbons, toxic substances, and other hazardous gases. The system's integration with existing safety systems ensures a holistic approach to hazard prevention, allowing for coordinated responses with alarms, emergency shutdown systems, and ventilation controls. Key features of the system include scalability, cost-efficiency, and seamless integration with industrial processes. The scalability allows for the expansion of sensor networks to adapt to evolving industrial environments. The cost-efficiency is realized through the prevention of potential damage and operational downtime. Furthermore, the system integrates seamlessly with existing safety and automation systems, creating a unified safety infrastructure.
  • Artificial Intelligence as a Driver of Industrial Competitiveness
    Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Kumar Nrip
    Proceedings 2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors Ssteps 2022, 2022
    Beyond our wildest dreams, Artificial Intelligence (AI) is changing industrial growth as well as our mode of living. Numerous nations have started national AI programmes to promote the value and usefulness of AI in smart businesses. However, there are problems with the practical use of AI to address current manufacturing concerns that must be disregarded. Finding various applications that may deliver value and satisfy the rising market but also capital demands is now the largest issue. To provide a concise road map for the methodical development and integration of AI in industrial operations, a systematic framework termed as "Industrial AI" was presented along with its key enabling technologies. This paper provides a thorough review of the major enabling solutions for industrial AI throughout the manufacturing sector as a whole and how their systematic implementation will help create new opportunities for value creation and prevent issues from emerging yet.
  • Smart Grid Technology and Renewable Energy Systems
    Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Kumar Nrip
    Proceedings 2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors Ssteps 2022, 2022
    The idea of "smart grids" has been around for more than ten years, and they are crucial to the digital revolution of the power industry. An overview of smart grids, including terminology, trends, and key features. An energy system known as a "smart grid" employs digital ICT systems to recognise, react to, as well as take necessary action in reply to variations in energy demand and a number of other issues. A new sector of "green economy" devoted to making smart energy consumption into a successful business has been spawned as a result of the abundance of research and innovation areas connected to the smart grid that may be utilised for new business prospects. Electricity users can take an active role in the marketing and self-healing capacities of smart grids. This article outlines the SG architecture and numerous components in an effort to give a general understanding of SG systems. Additionally, it introduces the network infrastructure, interconnection, and modern communications used in SG systems. The article also identifies difficulties and problems that must be resolved for SG to be implemented successfully. Finally, we offer recommendations for new areas for investigation.
  • Artificial Intelligence based Smart Cosmetics Suggestion System based on Skin Condition
    Kavyashree N, Rama Satish K V, Prasanna Rajaram Rasal, Rahul Jalindar Jadhav, M. Saidireddy, K G Kharade
    International Conference on Automation Computing and Renewable Systems Icacrs 2022 Proceedings, 2022
    Today, cosmetics have a big impact on how people look. Customers can access a range of products and conduct e-commerce on the website. Choosing the best product for our skin might be challenging. It offers a prediction approach so that individuals can select the goods that are suitable for their skin type. Configuration concepts perform better than conventional methods. It uses deep learning technology to streamline the complex procedures in the IT industry for cosmetics and beauty care. Along with its clients and product offerings, the beauty sector has grown over time. With the expansion of products and consumers, selecting the right cosmetics becomes more and more important. Due to the substantial influence that cosmetics have on a person’s appearance, the client should choose the best cosmetics for themselves based on personal factors (skin type). Given that every person has a distinct type of skin, choosing cosmetics that suit the person may be difficult. The composition depends on whether the client has oily, dry, or neutral skin. Even the product the user is looking for can have an extremely difficult skin condition; AI algorithms are perfectly suited to address this problem since they can evaluate massive amounts of unstructured data and generate insightful results.

RECENT SCHOLAR PUBLICATIONS

  • MicroEthics: Harnessing Small Data Intelligence to Recode Big Data Ethics for a Responsible Digital Future
    RJ Jadhav, KR Krishnaiah, S Immadisetty, JG Thatipudi, L Palthiya, ...
    2026 International Conference on AI-Driven Smart Systems and Ubiquitous … , 2026
    2026
  • Protecting Digital Learning: Security Features and IT Policies in Mobile Cloud Education
    M Phadtare, R Jadhav
    COMPUTOLOGY: Journal of Applied Computer Science and Intelligent … , 2026
    2026
  • A Novel AI-Driven Connectivity Framework for Autonomous Transportation in 6G Environments
    RJ Jadhav, R Mohandas, A Mishra, M Kamaraju, JG Thatipudi, R Aarthi
    Artificial Intelligence and Sustainable Networks, 48-71 , 2026
    2026
  • Big Data and Quantum Neural Network-Based Reliable Safety Ensurity of Wireless Network
    S Suneel, RJ Jadhav, M Bindhu, S Jain, VB Gujar, MII Sandhi
    Artificial Intelligence and Sustainable Networks, 284-296 , 2026
    2026
  • Blockchain-Enabled Trust Management in UAV-Assisted Wireless Sensor Networks
    RJ Jadhav
    2025 4th International Conference on Innovative Mechanisms for Industry … , 2025
    2025
  • Strategic Management for Environmental Sustainability: Balancing Profit with Planet
    DGB Dr. Kumar C1, Dr. P Sabarinath2, Dr. Rahul Jalinder Jadhav3, Dr. H ...
    International Journal of Environmental Sciences 11 (17s), 130-138 , 2025
    2025
  • Revolutionizing Collaboration: HoloSync 5G’s Real-Time Holographic Magic
    RJ Jadhav, GC Sekhar, K Devghare, LJ Devi, R Ramesh
    2025 International Conference on Data Science, Agents & Artificial … , 2025
    2025
  • DeepSentiment: Unlocking Insights from Twitter Data with Advanced Deep Learning Analytics
    MII Sandhi, MA Begum, RJ Jadhav, JP Maroor, A MD
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024
    Citations: 28
  • Internet of things enabled gas leakage detection over industrial areas using powerful MQ series sensor and controller
    RJ Jadhav, P Radhakrishnan, DA Jadhav, B Ashreetha, J Divya, ...
    2024 International Conference on Inventive Computation Technologies (ICICT … , 2024
    2024
    Citations: 13
  • Examining The Educational Impact Of Cloud Computing Via Mobile Teaching And Learning
    RJ Jadhav, MV Phadtare
    ResearchGate , 2024
    2024
    Citations: 1
  • Implementation of a Portable Learning Management System (PLMS) without Internet for Skill Development in a rural Educational Institute’s
    HN Renushe, AR Dhang, RR Raut, AA Patil, MA Renushe, PR Rasal, ...
    Journal of Advanced Zoology 44 (5), 480-483 , 2023
    2023
    Citations: 1
  • Artificial Intelligence based smart cosmetics suggestion system based on skin condition
    N Kavyashree, RS KV, PR Rasal, RJ Jadhav, M Saidireddy, KG Kharade
    2022 international conference on automation, computing and renewable systems … , 2022
    2022
    Citations: 11
  • Artificial intelligence as a driver of industrial competitiveness
    P Vasisht, S Ranjan, RJ Jadhav, PR Rasal, NK Nrip
    2022 International Conference on Smart and Sustainable Technologies in … , 2022
    2022
    Citations: 4
  • Smart grid technology and renewable energy systems
    P Vasisht, S Ranjan, RJ Jadhav, PR Rasal, NK Nrip
    2022 international conference on smart and sustainable technologies in … , 2022
    2022
    Citations: 4
  • National Service Scheme (NSS)-A Vision and Inspiration for Youth
    A Patil-Nikam, A Sane, R Jadhav, AV Nikam
    International Journal of Computer and Communication Engineering 11 (1 … , 2022
    2022
    Citations: 1
  • ASSESSMENT OF DRY WEIGHT PROTEIN CONTENT IN FRUIT BODY AND STIPE OF Agaricus bisporus USING IT AS A FISH FEED TO ASSESS GROWTH OF Oreochromis mossambicus
    T Ansari, R Jadhav
    UTTAR PRADESH JOURNAL OF ZOOLOGY 42 (12), 31-37 , 2021
    2021
    Citations: 1
  • BENEFITS AND CHALLENGES OF CRYPTOCURRENCY IN INDIAN ECONOMY
    DRJ Jadhav
    Journal of International Multidisciplinary educational research 10 (5), 92-95 , 2021
    2021
    Citations: 4
  • Digestive enzymatic and growth study of Danio rerio fed with Agaricus bisporus enriched diet.
    T Ansari, R Jadhav
    2021
  • Python in Real-World
    DRJ Jadhav
    PENSEE International Journal 51 (6), 5 , 2021
    2021
  • An expert system for fertilizer recommendation using software agents
    DRVM Dr. Rahul J. Jadhav
    GRADIVA REVIEW JOURNAL 7 (9), 5 , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Churn prediction in telecommunication using data mining technology
    RJ Jadhav, UT Pawar
    International Journal of Advanced Computer Science and Applications 2 (2) , 2011
    2011.0
    Citations: 116
  • DeepSentiment: Unlocking Insights from Twitter Data with Advanced Deep Learning Analytics
    MII Sandhi, MA Begum, RJ Jadhav, JP Maroor, A MD
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024.0
    Citations: 28
  • Public distribution system of essential commodities as a social security: a study of Satara District Maharashtra
    BS Sawant, RJ Jadhav
    International Journal of Management & Business studies 3 (1), 31-33 , 2013
    2013.0
    Citations: 23
  • Significant role of search engine in higher education
    RJ Jadhav, OP Gupta, UT Pawar
    International Journal of Scientific & Engineering Research 2 (4), 1-5 , 2011
    2011.0
    Citations: 20
  • Internet of things enabled gas leakage detection over industrial areas using powerful MQ series sensor and controller
    RJ Jadhav, P Radhakrishnan, DA Jadhav, B Ashreetha, J Divya, ...
    2024 International Conference on Inventive Computation Technologies (ICICT … , 2024
    2024.0
    Citations: 13
  • Artificial Intelligence based smart cosmetics suggestion system based on skin condition
    N Kavyashree, RS KV, PR Rasal, RJ Jadhav, M Saidireddy, KG Kharade
    2022 international conference on automation, computing and renewable systems … , 2022
    2022.0
    Citations: 11
  • Computer virus and antivirus software a brief review
    BV Patil, RJ Jadhav
    International Journal of Advances in Management and Economics 4 (2), 1-4 , 2014
    2014.0
    Citations: 10
  • Benefits and Challenges of ICT Adoption in Indian PDS
    RJ Jadhav, KM Nalawade
    Benefits 2 (12) , 2015
    2015.0
    Citations: 6
  • Artificial intelligence as a driver of industrial competitiveness
    P Vasisht, S Ranjan, RJ Jadhav, PR Rasal, NK Nrip
    2022 International Conference on Smart and Sustainable Technologies in … , 2022
    2022.0
    Citations: 4
  • Smart grid technology and renewable energy systems
    P Vasisht, S Ranjan, RJ Jadhav, PR Rasal, NK Nrip
    2022 international conference on smart and sustainable technologies in … , 2022
    2022.0
    Citations: 4
  • BENEFITS AND CHALLENGES OF CRYPTOCURRENCY IN INDIAN ECONOMY
    DRJ Jadhav
    Journal of International Multidisciplinary educational research 10 (5), 92-95 , 2021
    2021.0
    Citations: 4
  • Data mining for intrusion detection
    RJ Jadhav, UT Pawar
    International Journal of Power Control Signal and Computation 1 (4), 45-48 , 2012
    2012.0
    Citations: 4
  • Significant Role of Digital Marketing in Business Growth and Success in 2020
    DRJ Jadhav
    NOLEGEIN Journal of Management Information Systems 3 (2), 6 , 2020
    2020.0
    Citations: 3
  • Smart Card Based e-PDS System
    RJ Jadhav, DPK Mudalkar
    IJARCCE 2 (10) , 2013
    2013.0
    Citations: 2
  • Examining The Educational Impact Of Cloud Computing Via Mobile Teaching And Learning
    RJ Jadhav, MV Phadtare
    ResearchGate , 2024
    2024.0
    Citations: 1
  • Implementation of a Portable Learning Management System (PLMS) without Internet for Skill Development in a rural Educational Institute’s
    HN Renushe, AR Dhang, RR Raut, AA Patil, MA Renushe, PR Rasal, ...
    Journal of Advanced Zoology 44 (5), 480-483 , 2023
    2023.0
    Citations: 1
  • National Service Scheme (NSS)-A Vision and Inspiration for Youth
    A Patil-Nikam, A Sane, R Jadhav, AV Nikam
    International Journal of Computer and Communication Engineering 11 (1 … , 2022
    2022.0
    Citations: 1
  • ASSESSMENT OF DRY WEIGHT PROTEIN CONTENT IN FRUIT BODY AND STIPE OF Agaricus bisporus USING IT AS A FISH FEED TO ASSESS GROWTH OF Oreochromis mossambicus
    T Ansari, R Jadhav
    UTTAR PRADESH JOURNAL OF ZOOLOGY 42 (12), 31-37 , 2021
    2021.0
    Citations: 1
  • STUDY OF MISMANAGEMENT BY FAIR PRICE SHOPS PERCEIVED BY RATION CARD HOLDERS
    RJ Jadhav, R Mahadik, PR Rasal, AM Nikam
    Citations: 1
  • MicroEthics: Harnessing Small Data Intelligence to Recode Big Data Ethics for a Responsible Digital Future
    RJ Jadhav, KR Krishnaiah, S Immadisetty, JG Thatipudi, L Palthiya, ...
    2026 International Conference on AI-Driven Smart Systems and Ubiquitous … , 2026
    2026.0