Dr. Manoj Patil

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

Scopus Publications

Boosting Bitcoin Security: Innovative Threat Detection with Ensemble Learning and Water Cycle Algorithm Optimization
Rohidas Balu Sangore and Manoj E. Patil
IEEE
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.


Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application
Ram Kumar Solanki, Anand Singh Rajawat, Amit R. Gadekar, and Manoj Eknath Patil
IGI Global
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




A Hybrid Approach for Crop Yield Prediction using Supervised Machine Learning
Manoj Eknath Patil, M. Roshini, Matimpati Chitrarupa, Bagam Laxmaiah, S. Arun, and R. Thiagarajan
IEEE
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, and Swati Sharma
Springer Singapore



Cargo space optimization for container
Jyoti T. Patil and Manoj E. Patil
IEEE
Cargo loading and planning is the most essential factor in transportation like railways, airlines, trucks and buses. It is the proper arrangement of goods, items or cargo into the available space of container. Due to improper arrangement of cargo and unavailability of proper optimization techniques the space gets wasted and damage of goods occurs in container. The proper arrangement and placement of the cargo is very difficult task today. To utilize the maximum occupancy of the container the optimization algorithms are required to design. The optimization algorithms, simple algorithm, LAFF (Largest Area First Fit) and LAFF algorithm with Weight consideration are proposed. All algorithms, simple algorithm, LAFF and LAFF with weight consider the dimensions of the cargo and container like base, height, width and weight. These algorithms help to plan and load cargo properly in a container and give the optimized solution for arrangement of cargo. Experimental evaluation shows that, our proposed algorithms give maximum space utilization than existing methods.


Improved recommendation system with review analysis
Vinaya B. Savadekar and Manoj E. Patil
IEEE
Recommender systems are proven to be valuable in course of time. From the development of web and ecommerce, the amount of online information has grown rapidly, which produces the big data analysis problem. Conventional recommender systems undergoes through scalability and inefficiency problems in processing of big data. Besides, most of existing recommendation systems present the same static ratings and rankings of items to different users without considering their different needs, and therefore fails to meet users personalized requirements. This paper uses English language Keyword list and domain thesaurus based personalized recommendation method. The system presents a personalized recommendation list and recommending the most appropriate items to the users effectively according to their needs. To improve its scalability and efficiency in big data environment, it is implemented on Hadoop, a distributed computing platform for parallel processing. The system improves the accuracy and scalability recommendation systems over existing approaches.


Multilayer fuzzy inference system for air conditioner
Swati R. Chaudhari and Manoj E. Patil
IEEE
Nowadays the consumption of air conditioning devices is exponentially increased in warm countries like India. The enhancement in utilization of the cooling devices makes it essential for them to have stable energy consumption by providing steady compressor speed. Achieving an appropriate mechanism for compressor speed control requires use of Fuzzy Inference System (FIS). However, Fuzzy Inference System with defuzzification is not adaptive to other methods that can enhance the performance of the system. Fuzzy Inference System with weighted average cannot control the system perfectly. Such inference systems causes varying outcome to a large extent when used separately. This paper presents the proposed Multilayer Fuzzy Inference System, a combination of defuzzification and weighted average mechanism. The result shows that proposed approach gives output in human understandable form and predicts the compressor speed from temperature and humidity. Such multilayer approach calculates steady compressor speed to have stable energy utilization.


Improve the security of CGA using adjustable key block cipher based AES, to prevent attack on AES in IPV6 over MANET
Kavita T. Patil and Manoj E. Patil
IEEE
The IPv6-enabled network architecture has recently attracted much attention due to a security issue in MANET. Cryptographically Generated Addresses (CGAs) were used to approve the owner of the address. It can thwart the stealing of prevailing IPV6 addresses by attaching public key of the owner. The owner uses a corresponding private key to prove the ownership with the help of signed messages originated from that address. Though it is a useful technique to prove the address ownership in the IPV6 network, it has some restrictions and vulnerabilities if SHA-I algorithm is used in it. In this paper, the security analysis is provided by using AES algorithm in CGA. The AES algorithm is based on the principle of generating sub keys from the original key and using each sub key to encrypt one AES block, using Mix-Column transformation in 5 rounds instead of 10 rounds in the original AES-128 to decrease the encryption time and S-box and Inverse S-box in the original AES are replaced by one simple S-box used for encryption and decryption in the proposed method. Experimental results using NS-2 are shown in this paper.


Signature recognition using Krawtchouk moments
M. E. Patil and M. V. Borole
IEEE
An Efficient signature recognition system is proposed in this paper. The input signature image is acquired using pen tablet or scanner. The Krawtchouk moments are used as feature extraction technique which also invariant to shift, rotation, and scale provided that the signature pattern is in the proper format for classification. This moment method reduces the dimensionality of the input signature pattern by eliminating features containing low information or high redundancy. These features are used to recognize the signature using Fuzzy Min-Max Neural Network with Compensatory Neuron (FMCNs) which is designed by Nandelkar and Biswas.


An effective stroke feature selection method for online signature verification
R. C. Sonawane and M. E. Patil
IEEE
Signature is a behavioral trait of an individual and forms a special class of handwriting in which legible letters or words may not be exhibited. Dynamic signature verification (DSV) uses the behavioral biometrics of a hand-written signature to confirm the identity of a computer user. Signature verification technology requires primarily a digitizing tablet and a special pen connected to the Universal Serial Bus Port (USB port) of a computer. An individual can sign on the digitizing tablet using the special pen regardless of his signature size and position. The signature is characterized as pen-strokes consisting x, y coordinates and the data will be stored in the signature database. In this paper, I am describing the various feature of dynamic signature by considering their spatial and time domain characteristics. Individual strokes are identified by finding the points where there is a decrease in pen tip pressure, decrease in pen velocity, and rapid change in pen angle.

RECENT SCHOLAR PUBLICATIONS

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



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



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



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



An Iot Based Monitoring System For Single Phase Grid Connected Photovoltaic System.
AC Wani, PJ Shah, ME Patil
Journal of Namibian Studies 33 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



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



A Review on Grid-Tied Solar Photovoltaic System
AC Wani, PJ Shah, ME Patil
International Journal 8 (4), 63-68 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



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



A Study of Robust Steganography on Red Component by Using DWTDCT Transform
A Bhattacharya, ME Patil
Mathematical Statistician and Engineering Applications 71 (4), 9823-9833 2022



Design and Implementation of Facial Expressions Recognition based on LBP & DRLBP with CNN
MY Barhate, ME Patil
Mathematical Statistician and Engineering Applications 71 (4), 9772-9783 2022



Dynamic Representation and Visualization in Networking for Big Data Using Ai
SA Ahmed, ME Patil
Mathematical Statistician and Engineering Applications 71 (4), 9814-9822 2022



Proposing Improved FCM based Method for Segmenting Irregular Shaped Fruit Image Captured in Natural Light
AR Welekar, ME Patil
Mathematical Statistician and Engineering Applications 71 (4), 9804-9813 2022



Improved Fingerprint Identification System Using Hybrid Deep Learning
R Kumar, ME Patil
Industrial Engineering Journal 15 (11), 24-30 2022



Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies
R Kumar, M Patil
Available at SSRN 4182372 2022



Waste Classification Using ANN, CNN And Transfer Learning
M Patil, N Shaikh
CNN And Transfer Learning (June 10, 2022) 2022



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



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

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
Citations: 79



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
Citations: 53



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
Citations: 30



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
Citations: 21



Comparative analysis of fuzzy inference systems for air conditioner
SR Chaudhari, ME Patil
International Journal of Advanced computer research 4 (4), 922 2014
Citations: 16



Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies
R Kumar, M Patil
Available at SSRN 4182372 2022
Citations: 15



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
Citations: 14



Improved the Image Enhancement Using Filtering and Wavelet Transformation Methodologies (July 22, 2022)
R Kumar, M Patil
Available at SSRN 4182372
Citations: 14



Cargo space optimization for container
JT Patil, ME Patil
2016 International Conference on Global Trends in Signal Processing 2016
Citations: 13



Waste Classification Using ANN, CNN And Transfer Learning
M Patil, N Shaikh
CNN And Transfer Learning (June 10, 2022) 2022
Citations: 9



Review on cargo space optimization Methodologies
AR Kothawade, ME Patil
International Journal of Computer Applications 162 (3), 31-34 2017
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
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
Citations: 8



Improved recommendation system with review analysis
VB Savadekar, ME Patil
2016 International Conference on Global Trends in Signal Processing 2016
Citations: 6



Review on Cargo Space Optimization
MEP Jyoti T. Patil
International Journal of Engineering Trends and Technology, 188-191 2016
Citations: 5



Improve the Security of CGA using Adjustable Key Block Cipher based AES, to Prevent Attack on AES in IPV6 over MANET
KT Patil, ME Patil
2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN), 148-152 2014
Citations: 5



Signature recognition using Krawtchouk moments
ME Patil, MV Borole
2012 Third International Conference on Computing, Communication and 2012
Citations: 5



Recognition of traffic symbols using K-means and shape analysis
MEP Pankaj D.Thakur
International Journal of Engineering Research & Technology (IJERT) 2 (5
Citations: 4



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
Citations: 3



A review on implementation of Sandhi Viccheda for Sanskrit words
B Patil, M Patil
Proceedings of the international conference in ICGTETM, IJCRT 5 (12), 489-493 2017
Citations: 3