Dr. Manoj Patil

@sscoetjalgaon.ac.in

Associate Professor and Head
SSBT's College of Engineering and Technology, Bambhori

Dr. Manoj Patil


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https://researchid.co/mepatil06

EDUCATION

• Doctor of Philosophy (Ph. D) Notification Dec 2017
o Branch - Computer Science and Engineering
o University : Jodhpur National University, Jodhpur
• Master of Technology (M. Tech) – Examination Dec-2008
o Branch- Computer Science and Engineering.
o Class – First (67.20%)
o College – Samrat Ashok Technological Institute (Engineering College), Vidisha.
o University – Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.

• Bachelor of Engineering (B.E) – Dec 2000
o Branch - Computer Engineering
o Class – First (60.35%)
o College – SSVPS’s Late Bapusaheb Deore College of Engineering, Dhule.
o University – North Maharashtra University, Jalgaon.

• Diploma in Computer Engineering – July 1996
o Branch - Computer Engineering
o Class – First (65.36%)
o College – Puranmal Lahoti Govt. Polytechnic, Latur
o University/ Board – Board of Technical Examinations, Maharashtra State

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Multidisciplinary, Software
17

Scopus Publications

427

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Bitcoin anomaly: adaptive anomaly detection with automated signing of blockchain-based bitcoin system using weighted recurrent neural network attention mechanism
    Rohidas Balu Sangore, Manoj Eknath Patil
    International Journal of Information and Computer Security, 2026
    In this paper, we developed anomaly detection based on machine learning-based with the automated signing of the blockchain transaction system to effectively detect the anomalies to prevent the leakage of information from the bitcoin system. Initially, the anomalies data is collected from online resources. The automated signing of the transaction system is performed using machine learning. A blockchain transaction is used for the personalised identification of anomalies transactions. It secures the transactions from fraudulent blockchain transactions. Then, the anomaly detection is done by an optimised recurrent neural network with attention mechanism (ORNN-AM). Here, the parameters are optimised using fitness of firefly and driving training-based optimisation (FFDTO). Anomaly detection with the automated signing of blockchain transactions using machine learning techniques helps to detect anomalies effectively. The performance of anomaly detection with the automated signing of the blockchain transactions system is compared to other conventional anomaly detection models.
  • EDGE LEVEL COMPLEX EVENT PROCESSING AND OPTIMISATION BASED FOG LEVEL LOAD BALANCING MECHANISM IN SOFTWARE DEFINED NETWORK
    Journal of Theoretical and Applied Information Technology, 2025
  • Innovative IoT Development: A Blockchain-Driven Software Engineering Approach with Smart Contracts
    Pandit Darshan Pradeep, Manoj E. Patil
    Journal of Computers Mechanical and Management, 2025
    The rapid advancement of the Internet of Things (IoT) is reshaping industries by enabling seamless communication between devices, real-time data collection, and automation. Given the surge in IoT applications, challenges related to security, scalability, and interoperability have become increasingly critical. This study presents a state-of-the-art software engineering framework designed to address these limitations through the integration of blockchain technology and smart contracts. By leveraging the decentralized, immutable, and transparent nature of blockchain, the proposed framework enhances trust and security within IoT environments. Smart contracts, as secure, self-executing code, facilitate autonomous interactions between IoT devices without relying on centralized control. Additionally, the framework introduces novel strategies for optimizing resource management and data handling efficiency while improving system scalability across distributed networks. The synergistic use of blockchain and smart contracts not only resolves key IoT challenges but also contributes to the development of robust, efficient, and scalable IoT ecosystems. The framework is applicable across diverse domains, including healthcare, smart cities, supply chain management, and industrial automation, fostering innovative, self-governing IoT systems throughout their operational lifecycle.
  • Blockchain-Integrated Authentication Framework for Secure Cloud-Based Health Monitoring with Wearable Devices
    Shaharkar Bhushan Bharat, Manoj E. Patil
    Journal of Computers Mechanical and Management, 2025
    Wearable health monitoring devices play a critical role in real-time patient care, but their reliance on cloud-based services introduces significant security and privacy challenges. This study presents a blockchain-integrated security framework that combines decentralized authentication, smart contract automation, and end-to-end encryption to ensure the secure transmission and access of health data. Unlike traditional centralized systems, the framework uses a permissioned blockchain to log authentication and access events immutably, while smart contracts govern role-based permissions without manual oversight. The system was evaluated in a simulated environment with wearable devices and cloud infrastructure. Results demonstrate low-latency performance, high authentication accuracy, robust anomaly detection, and resilience against replay and spoofing attacks. This framework offers a scalable and transparent approach to strengthening data protection in digital healthcare systems.
  • DDoS attack detection in blockchain network layer using dual attention based dense convolutional gated recurrent unit
    Rohidas Balu Sangore, Manoj Eknath Patil
    International Journal of Information and Computer Security, 2025
    This paper aims to design a novel hybrid deep learning model along with a new feature extraction technique. This paper collects the input data from publicly available datasets and is pre-processed by using min-max normalisation and missing value imputation to eliminate unnecessary information. After, a new squeeze excited deep ResNet-152 (SE-DRes152) model is introduced to extract the essential traffic attributes from pre-processed data. Finally, the DDoS attack from the provided inputs is identified by presenting a novel dual attention-based dense convolutional gated recurrent unit (DA_DCGRU) approach based on the extracted features. The ability of the proposed classifier is further enhanced by fine-tuning its parameters using by modified fire hawks (MFH) approach. The simulation results and comparison analysis prove that the proposed model outperforms the other existing methods in terms of accuracy (98.83%), precision (97.54%), recall (97.81%), F-score (97.67%), specificity (98.51%), MAE (0.192%), MSE (0.01%) and RMSE (0.1082%).
  • Boosting Bitcoin Security: Innovative Threat Detection with Ensemble Learning and Water Cycle Algorithm Optimization
    Rohidas Balu Sangore, Manoj E. Patil
    2024 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2024, 2024
    With the growing significance of blockchain-based Bitcoin systems, ensuring robust security measures is imperative. This research introduces an innovative approach to enhance system-level threat detection through the integration of a novel ensemble learning model, bolstered by the Water Cycle Algorithm (WCA). The proposed model aims to address the evolving landscape of security challenges in the blockchain domain, specifically targeting the detection of threats that may compromise the integrity and efficiency of Bitcoin systems.The ensemble learning model combines diverse algorithms, leveraging their collective intelligence to improve accuracy and resilience against sophisticated threats. The integration of the Water Cycle Algorithm further enhances the adaptability of the model by mimicking the natural processes of water cycles for dynamic optimization. This adaptive feature enables the system to efficiently respond to emerging threats, ensuring real-time threat detection and mitigation.
  • Software Defined Network Level for Local Processing and Global Processing of IoT-Fog Network Events
    Sarkarsinha H. Rajput, Manoj E. Patil
    2024 1st International Conference on Data Computation and Communication Icdcc 2024, 2024
    A Software Defined Network (SDN) is a modern networking approach that makes it possible to directly program and manage network traffic, while also simplifying the underlying infrastructure for applications and services. It works by separating the decision-making (control plane) from the actual data transmission (data plane), giving greater flexibility and control over how networks operate. Fog Computing architecture and Internet of Things (IoT) devices are combined to create IoT-Fog Networks, which aim to solve the issues of latency, scalability, bandwidth limitations, and real-time data processing. The intermediary processing resources known as fog nodes are situated nearer the network's edge in fog computing. The majority of fog devices are not very computationally or memory-intensive. The task of skillfully handling these constraints in order to fulfill the requirements of multiple applications is difficult. Samples in the current IoT-Fog network are overly delayed in their communication or, on occasion, may be lost due to communication and processing overload due to congestion between devices and gateways. One way to address this is to provide a method that is effective for handling IoT-Fog Events in Software Defined Network (SDN), both locally and globally.
  • Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application
    Ram Kumar Solanki, Anand Singh Rajawat, Amit R. Gadekar, Manoj Eknath Patil
    Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines, 2023
    The healthcare industry is facing numerous challenges in providing efficient and effective care to patients, including increased demand, limited resources, and a growing shortage of healthcare providers. To address these challenges, many healthcare organizations are turning to technology, specifically artificial intelligence (AI) and machine learning (ML), to improve patient care and outcomes. In response, the development of smart chatbots has emerged as a promising solution in the healthcare field. This chapter focuses on the design and implementation of a smart chatbot using AI and ML for healthcare applications. The main goal of the chatbot is to provide a more convenient and accessible method of delivering healthcare information and services to patients. This chapter will also explore the various components and algorithms used in the design of the chatbot, as well as its potential impact on the healthcare industry. Overall, this chapter demonstrates the value of AI and ML in healthcare and encourages further exploration and development of chatbots for healthcare applications.
  • Securing IoT system Access Control using Blockchain-Based Approach
    International Journal of Intelligent Systems and Applications in Engineering, 2022
  • A Hybrid Approach for Crop Yield Prediction using Supervised Machine Learning
    Manoj Eknath Patil, M. Roshini, Matimpati Chitrarupa, Bagam Laxmaiah, S. Arun, R. Thiagarajan
    8th International Conference on Smart Structures and Systems Icsss 2022, 2022
    Agricultural production has always been a vital factor in economic development, and it has had an enormous impact on our economic prosperity. Also, as science progresses rapidly, the farming industry has become one of the most critical segments to face issues in farming, such as land, groundwater flow, catastrophic events, herbicides, and pesticides. Throughout all stages of yield development, the amount of acceptable precipitation observed is critical to the development of harvests in farming. There will be occasions when the excellent monsoon season is insufficient to aid agricultural production, and understanding it can assist farmers in determining the volume of moisture that can only be made available via irrigated agriculture. Forecasting feasible precipitation and harvest and water requirements is a difficult task requiring a thorough and reliable scrutiny of a long set of variables, such as relative humidity and temperature. In the earlier period, the viable monsoon was calculated by factoring in 3 significant aspects: moisture, heat, and rain. Analyze several research mechanisms throughout history, and investigate a considerable proportion in heavy rains. We employ a hybrid approach that combines logistic regression and random forest (LRRF) to anticipate crop production concerning annual rainfall as in the research design.
  • Modeling and Simulation of Secure Data Transfer in High Level Language Using Quantum Communication Protocol
    Manoj E. Patil, M. Hussain, Swati Sharma
    Advances in Intelligent Systems and Computing, 2019
  • Improved recommendation system with review analysis
    Vinaya B. Savadekar, Manoj E. Patil
    Proceedings International Conference on Global Trends in Signal Processing Information Computing and Communication Icgtspicc 2016, 2017
  • Cargo space optimization for container
    Jyoti T. Patil, Manoj E. Patil
    Proceedings International Conference on Global Trends in Signal Processing Information Computing and Communication Icgtspicc 2016, 2017
  • Multilayer fuzzy inference system for air conditioner
    Swati R. Chaudhari, Manoj E. Patil
    Proceedings 1st International Conference on Computing Communication Control and Automation Iccubea 2015, 2015
  • Improve the security of CGA using adjustable key block cipher based AES, to prevent attack on AES in IPV6 over MANET
    Kavita T. Patil, Manoj E. Patil
    Proceedings 2014 IEEE Global Conference on Wireless Computing and Networking Gcwcn 2014, 2015
  • An effective stroke feature selection method for online signature verification
    R. C. Sonawane, M. E. Patil
    2012 3rd International Conference on Computing Communication and Networking Technologies Icccnt 2012, 2012
  • Signature recognition using Krawtchouk moments
    M. E. Patil, M. V. Borole
    2012 3rd International Conference on Computing Communication and Networking Technologies Icccnt 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Bitcoin anomaly: adaptive anomaly detection with automated signing of blockchain-based bitcoin system using weighted recurrent neural network attention mechanism
    RB Sangore, ME Patil
    International Journal of Information and Computer Security 29 (3), 249-284 , 2026
    2026
  • Edge Level Complex Event Processing and Optimisation Based Fog Level Load Balancing Mechanism in Software Defined Network
    SH Rajput, ME Patil
    2025
  • Blockchain-integrated authentication framework for secure cloud-based health monitoring with wearable devices
    SB Bharat, ME Patil
    J. Comput. Mech. Manag 4 (2), 40-48 , 2025
    2025
    Citations: 9
  • Innovative IoT development: A blockchain-driven software engineering approach with smart contracts
    PD Pradeep, ME Patil
    J. Comput. Mech. Manag 4 (2), 9-16 , 2025
    2025
    Citations: 18
  • DDOS ATTACK DETECTION IN BLOCKCHAIN NETWORK LAYER USING DUAL ATTENTION BASED DENSE CONVOLUTIONAL GATED RECURRENT UNIT
    ME PATIL, RB SANGORE
    INTERNATIONAL JOURNAL OF INFORMATION 1 (1) , 2025
    2025
  • DDoS attack detection in blockchain network layer using dual attention based dense convolutional gated recurrent unit
    RB Sangore, ME Patil
    International Journal of Information and Computer Security 27 (4), 437-464 , 2025
    2025
    Citations: 1
  • Software Defined Network Level for Local Processing and Global Processing of IoT-Fog Network Events
    SH Rajput, ME Patil
    2024 First International Conference on Data, Computation and Communication … , 2024
    2024
  • Boosting Bitcoin Security: Innovative Threat Detection with Ensemble Learning and Water Cycle Algorithm Optimization
    RB Sangore, ME Patil
    2024 IEEE International Conference on Blockchain and Distributed Systems … , 2024
    2024
  • Self-converged ensemble deep RNN classifier for student performance prediction in academics
    V Sharma, V Pandey, M Patil, R Jeswani, P Shinde, S Agrawal
    2024 International Conference on Advances in Computing Research on Science … , 2024
    2024
    Citations: 2
  • Experimental Investigation of Segmentation Methods for Segmenting Fruit Images in Natural Environment
    AR Welekar, ME Patif
    Recent Advances in Science, Engineering & Technology, 355-362 , 2024
    2024
  • An Efficient Public Data Integrity for Big Data Processing System In Multiple Cloud Storage
    K Suresh, ME Patil
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University 44 (7 … , 2023
    2023
  • Cyber Security and Ethical Hacking
    PAM Dr. Manoj Eknath Patil, Dr. Anjana N. Ghule, Prof. Bhushan B. Shaharkar
    2023
  • To study optimization method in scheduling for cloud computing
    JD Sawarka, ME Patil
    SJIS-P 35 (1), 433-439 , 2023
    2023
  • Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application
    ME Solanki, R.K. , Rajawat, A.S. , Gadekar, A.R. , Patil
    Handbook of Research on Instructional Technologies in Health Education and … , 2023
    2023
  • An Iot Based Monitoring System For Single Phase Grid Connected Photovoltaic System.
    AC Wani, PJ Shah, ME Patil
    Journal of Namibian Studies 33 , 2023
    2023
  • The Academic And Commercial Circles In Block Chain Security, Privacy And Scalability At Block Chain Technologies.
    S Kumari, ME Patil
    Journal of Namibian Studies 33 , 2023
    2023
    Citations: 1
  • Analyzing The Efficacy Of Probabilistic And Fuzzy Logic In Natural Language Semantics A Comprehensive Implementation Study.
    OP Singh, ME Patil
    Journal of Namibian Studies 33 , 2023
    2023
  • A Review on Grid-Tied Solar Photovoltaic System
    AC Wani, PJ Shah, ME Patil
    International Journal 8 (4), 63-68 , 2023
    2023
  • Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application
    RK Solanki, AS Rajawat, AR Gadekar, ME Patil
    Handbook of research on instructional technologies in health education and … , 2023
    2023
    Citations: 60
  • Block chain based Secure Data Sharing in Cloud-Based IOT System
    UM Mulani, M Patil
    Mathematical Statistician and Engineering Applications 71 (4), 9834-9851 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Study and review of fuzzy inference systems for decision making and control
    S Chaudhari, M Patil, J Bambhori
    American International Journal of Research in Science, Technology … , 2014
    2014.0
    Citations: 86
  • Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application
    RK Solanki, AS Rajawat, AR Gadekar, ME Patil
    Handbook of research on instructional technologies in health education and … , 2023
    2023.0
    Citations: 60
  • Design and implementation of graphical user interface for relational database management system
    ME Patil, RN Mulchandani, RR Ahuja
    International Journal of Computer Science and Information Technologies 3 (3 … , 2012
    2012.0
    Citations: 32
  • Real-time traffic sign recognition system based on colour image segmentation
    VR Deshmukh, GK Patnaik, ME Patil
    International Journal of Computer Applications 83 (3) , 2013
    2013.0
    Citations: 22
  • Apriori Algorithm against Fp growth algorithm: a comparative study of data mining algorithms
    M Patil, T Patil
    Proceedings of the 7th International Conference on Innovations and Research … , 2022
    2022.0
    Citations: 20
  • A hybrid approach for crop yield prediction using supervised machine learning
    ME Patil, M Roshini, M Chitrarupa, B Laxmaiah, S Arun, R Thiagarajan
    2022 8th International Conference on Smart Structures and Systems (ICSSS), 1-6 , 2022
    2022.0
    Citations: 19
  • Innovative IoT development: A blockchain-driven software engineering approach with smart contracts
    PD Pradeep, ME Patil
    J. Comput. Mech. Manag 4 (2), 9-16 , 2025
    2025.0
    Citations: 18
  • Cargo space optimization for container
    JT Patil, ME Patil
    2016 International Conference on Global Trends in Signal Processing … , 2016
    2016.0
    Citations: 18
  • Comparative analysis of fuzzy inference systems for air conditioner
    SR Chaudhari, ME Patil
    International Journal of Advanced computer research 4 (4), 922 , 2014
    2014.0
    Citations: 17
  • Laboratory performance of evaporative cooler using jute fiber ropes as cooling media
    RK Kulkarni, SPS Rajput, SA Gutte, DM Patil
    Int. J. Eng. Res. Appl 4 (12), 60-66 , 2014
    2014.0
    Citations: 12
  • Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies
    R Kumar, M Patil
    Available at SSRN 4182372 , 2022
    2022.0
    Citations: 11
  • Waste Classification Using ANN, CNN And Transfer Learning
    M Patil, N Shaikh
    CNN And Transfer Learning (June 10, 2022) , 2022
    2022.0
    Citations: 11
  • Blockchain-integrated authentication framework for secure cloud-based health monitoring with wearable devices
    SB Bharat, ME Patil
    J. Comput. Mech. Manag 4 (2), 40-48 , 2025
    2025.0
    Citations: 9
  • Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies (July 22, 2022)
    R Kumar, M Patil
    Available at SSRN 4182372 , 0
    Citations: 9
  • Review on cargo space optimization Methodologies
    AR Kothawade, ME Patil
    International Journal of Computer Applications 162 (3), 31-34 , 2017
    2017.0
    Citations: 8
  • Study of Literature on Weather Monitoring System
    M Patil, SR Pachpande, JP Chaudari, KP Rane
    International Journal of Computer Application 153 (3) , 2016
    2016.0
    Citations: 8
  • An effective stroke feature selection method for online signature verification
    RC Sonawane, ME Patil
    2012 Third International Conference on Computing, Communication and … , 2012
    2012.0
    Citations: 8
  • Improved recommendation system with review analysis
    VB Savadekar, ME Patil
    2016 International Conference on Global Trends in Signal Processing … , 2016
    2016.0
    Citations: 6
  • Review on Cargo Space Optimization
    MEP Jyoti T. Patil
    International Journal of Engineering Trends and Technology, 188-191 , 2016
    2016.0
    Citations: 5
  • Signature recognition using Krawtchouk moments
    ME Patil, MV Borole
    2012 Third International Conference on Computing, Communication and … , 2012
    2012.0
    Citations: 5