Computer Vision and Pattern Recognition, Artificial Intelligence, Multidisciplinary, Engineering
27
Scopus Publications
98
Scholar Citations
4
Scholar h-index
2
Scholar i10-index
Scopus Publications
Multimedia data handling in IoMT Kamalesh Thoppaen Suresh Babu, P William, Yogeesh N, Tarun Dhar Diwan, Pravin B Khatkale, Pradeep Verma Internet of Multimedia Things Security Tools and Applications, 2026
Case studies on security implementations in IoMT P. William, Pravin B. Khatkale, Pradeep Verma, Yogeesh N, Tarun Dhar Diwan, A.K Haghi Internet of Multimedia Things Security Tools and Applications, 2026
Security and Privacy Analysis Using AI-Based Machine Learning Methods P. William, Pravin B. Khatkale, Vishal Tidake, Shrikaant Kulkarni Leveraging Artificial Intelligence in Cloud Edge Fog and Mobile Computing, 2025 The objectives of this research are to provide a comprehensive overview of machine learning algorithms for anomaly identification across a variety of industries. In the fields of industrial systems, healthcare, finance, and cybersecurity, anomalies, which are differentiated by their deviation from the norm, are significant signs of potential issues that may arise. The techniques of supervised, unsupervised, and semi-supervised learning are discussed in this article, with a focus on the unique challenges and applications that are connected with each of these learning methods. It places a focus on the relevance of performance measurements, feature engineering, and the ever-evolving field of anomaly detection technologies. A crucial resource that guides future research endeavors in machine learning-driven anomaly detection, this study offers practitioners and researchers with the information they need to inform current practices and steer future research initiatives.
AI-Based Machine Learning Models for Predictive Analysis in Biomedical Waste Management P. William, P B. Khatkale, Dharmendra Kumar Roy, N. Yogeesh, Shrikaant Kulkarni, Prasanna Lakshmi Gandi Hospital Waste Management and Toxicity Evaluation, 2025 The proper management of biological waste is very necessary in order to safeguard both the environment and the health of the general population. Traditional methods of waste management are often unable to adequately manage the quantity and dynamic nature of biological waste that is generated by healthcare establishments. The purpose of this project is to investigate the use of artificial intelligence-based machine learning models for predictive analysis in the field of biomedical waste management. Utilizing historical data and complex algorithms, these models are able to predict the amount of trash that is produced, optimize disposal operations, and ensure that regulatory compliance is fulfilled. As a result, these models increase the efficiency and sustainability of waste management procedures at healthcare facilities.
A Study of Secure Deployment of Mobile Services in Edge Computing P. William, Pravin B. Khatkale, N Yogeesh Edge Computational Intelligence for AI Enabled Iot Systems, 2024 A new technology called mobile edge computing (MEC) has been recognized as a key component of the 5G network. Researchers propose to use MEC’s IT service environment and cloud computing capabilities at the mobile network’s edge to assure the implementation of Internet of Cars, Internet of Things (IoT), and self-driving cars. MEC has unique qualities that need a deliberate approach to MEC implementation. Even more so, MEC-enabled service deployment frameworks are very rare. This motivated us to conduct a comprehensive review of existing studies on safe deployment. Many studies and tests have been conducted, but there are few systematic summaries that summarize essential ideas and development approaches for safe commercial implementation of MEC services. An exhaustive evaluation of similar achievements is provided in order to narrow the gap.
Machine Learning-Based Hybrid Technique for Securing Edge Computing P. William, Pravin B. Khatkale, N Yogeesh Edge Computational Intelligence for AI Enabled Iot Systems, 2024 Mobile edge computing relies heavily on smartphones (MEC). The proper operation of cloud services depends on the security of data stored on mobile devices. Malicious Android applications are becoming more common. To create effective malware detection systems, it is imperative that these apps be thoroughly examined for their malign intent. Machine learning (ML) techniques based on hybrid features may be critical in the detection of Android malware, according to the current most up-to-date model. The feature selection process is critical for capturing the right behavioral patterns of malware instances in order to create a usable categorization of mobile apps. Using both static and dynamic elements of Android applications, we’ve developed a new method for identifying malware. Malware detection techniques are evaluated on their ability to identify hybrid elements. An F-measure score of 97 percent indicates that the recommended set of features is successful in identifying malware risks. Keywords: Edge computing, smartphone, machine learning, malware detection.
Modelling Deep Learning and Machine Learning Methods in IOT based Cybersecurity Gurpreet Singh Chhabra, Rakesh Thoppaen Suresh Babu, Kamalesh Thoppaen Suresh Babu, Pravin B Khatkale, Onkar Ghige, P. William International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024 In this research, the incorporation of Deep Learning (DL) and Machine Learning (ML) into cybersecurity processes is investigated in great depth. The study also highlights the significant role that these technologies play in recognizing and minimizing cyber hazards. It is necessary to use contemporary security solutions since traditional security measures have not been able to keep up with the rapid expansion of cyberattacks. The ability of deep learning and machine learning algorithms to analyze patterns in big datasets makes it feasible to do real-time threat detection and predictive analytics. This makes it possible for organizations to increase their security postures. Within the scope of this study, several deep learning and machine learning models are evaluated using performance metrics such as accuracy, precision, recall, and F1-score across a wide range of cyber threat scenarios. The purpose of this evaluation is to establish the degree to which these models are effective. The findings illustrate how effectively these models adapt to a variety of cyber settings and how they contribute to the development of highly effective and adaptable cybersecurity defenses.
Sentiment Analysis Using Machine Learning Methods Abhishek Badholia, Tarun Dhar Diwan, Preeti Narooka, Pravin B Khatkale, Ankit Vishnoi, Keshav Kaushik International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
AI Applications and the Financial Transformation of FinTech and FinServ Sectors Rakesh Thoppaen Suresh Babu, Lakshmi Narasimhan Krishnamoorthy, G. Prasanna Lakshmi, Bhagyashree Ashok Tingare, Tarun Dhar Diwan, Pravin B Khatkale International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
AI based Mobile Machine Learning Framework for Edge Video Analytics Kamalesh Thoppaen Suresh Babu, Tarun Dhar Diwan, G. Prasanna Lakshmi, Lakshmi Narasimhan, Bhagyashree Ashok Tingare, Pravin B Khatkale International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
Multimedia data handling in IoMT KTS Babu, P William, TD Diwan, PB Khatkale, P Verma Internet of Multimedia Things Security, 31-48 , 2026 2026
Case studies on security implementations in IoMT P William, PB Khatkale, P Verma, TD Diwan, AK Haghi Internet of Multimedia Things Security, 191-204 , 2026 2026
Security and Privacy Analysis Using AI-Based Machine Learning Methods P William, PB Khatkale, V Tidake, S Kulkarni Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing … , 2025 2025
A fault-tolerant model for cloud computing environment using seagull-optimized artificial neural network (SOANN) P William, VP Mishra, S Kannan, G Mamedova, P Lakshmi, PB Khatkale International Journal of Information Technology 17 (4), 2341-2346 , 2025 2025 Citations: 1
Iris recognition using principal component analysis PB Khatkale AIP Conference Proceedings 3175 (1), 020088 , 2025 2025 Citations: 1
AI-Based Machine Learning Models for Predictive Analysis in Biomedical Waste Management P William, PB Khatkale, DK Roy, N Yogeesh, S Kulkarni, PL Gandi Hospital Waste Management and Toxicity Evaluation, 277-298 , 2025 2025 Citations: 1
Sentiment Analysis Using Machine Learning Methods A Badholia, TD Diwan, P Narooka, PB Khatkale, A Vishnoi, K Kaushik 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education BA Tingare, GP Lakshmi, V Khedkar, RTS Babu, TD Diwan, PB Khatkale 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 3
Comprehensive Examination of Machine Learning Methods for Predicting Software Errors L Kittusamy, TD Diwan, P Madan, PB Khatkale, A Vishnoi, K Kaushik 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
Framework for Securing Quality Control Process in Engineering Using IOT based Machine Learning Models MK Nigam, PB Khatkale, TD Diwan, S Roy, A Badholia, O Ghige 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 1
IOT based Machine Learning Algorithms for Data Science on Quality Control Process L Kittusamy, GP Lakshmi, PB Khatkale, P William, O Ghige, BA Tingare 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 4
AI based mobile machine learning framework for edge video analytics KTS Babu, TD Diwan, GP Lakshmi, L Narasimhan, BA Tingare, ... 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 1
Enhancing Efficiency of Declarative Aggregation for Video Analytics Based on Neural Networks KTS Babu, TD Diwan, GP Lakshmi, V Khedkar, PB Khatkale, BA Tingare 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
AI Applications and the Financial Transformation of FinTech and FinServ Sectors RTS Babu, LN Krishnamoorthy, GP Lakshmi, BA Tingare, TD Diwan, ... 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
Modelling Deep Learning and Machine Learning Methods in IOT based Cybersecurity GS Chhabra, RTS Babu, KTS Babu, PB Khatkale, O Ghige, P William 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 2
A Study of Secure Deployment of Mobile Services in Edge Computing P William, PB Khatkale, N Yogeesh Edge Computational Intelligence for AI-Enabled IoT Systems, 155-170 , 2024 2024
Machine Learning-Based Hybrid Technique for Securing Edge Computing P William, PB Khatkale, N Yogeesh Edge Computational Intelligence for AI-Enabled IoT Systems, 141-154 , 2024 2024
Optimizing Data Traffic: Effective Management of Physical Processes in Networked Information Systems GS Chhabra, P William, A Badholia, VM Tidake, PM Patare, PB Khatkale Sumy State University , 2024 2024 Citations: 1
An Innovative Classification Approach for Predicting Physical Properties in Nanoparticles VM Tidake, PM Patare, PB Khatkale, AA Khatri, PM Yawalkar, SS Ingle, ... Sumy State University , 2024 2024
Clustering-Based Growth Analysis of 2D Transition Metal Thin Films on Graphene Substrates via Molecular Beam Epitaxy AA Khatri, PM Yawalkar, P William, VM Tidake, PM Patare, PB Khatkale, ... Sumy State University , 2024 2024 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Framework of air pollution assessment in smart cities using IoT with machine learning approach HP Varade, SC Bhangale, SR Thorat, PB Khatkale, SK Sharma, P William 2023 2nd International Conference on Applied Artificial Intelligence and … , 2023 2023 Citations: 59
Probing of instructional data mining effectiveness in decision-making for industrial and educational applications PB Khatkale, P William, OJ Oyebode, A Sharma, V Kumari, V Singh International Conference on Mobile Radio Communications & 5G Networks, 623-641 , 2023 2023 Citations: 14
Clustering-Based Growth Analysis of 2D Transition Metal Thin Films on Graphene Substrates via Molecular Beam Epitaxy AA Khatri, PM Yawalkar, P William, VM Tidake, PM Patare, PB Khatkale, ... Sumy State University , 2024 2024 Citations: 8
IOT based Machine Learning Algorithms for Data Science on Quality Control Process L Kittusamy, GP Lakshmi, PB Khatkale, P William, O Ghige, BA Tingare 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 4
Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education BA Tingare, GP Lakshmi, V Khedkar, RTS Babu, TD Diwan, PB Khatkale 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 3
Modelling Deep Learning and Machine Learning Methods in IOT based Cybersecurity GS Chhabra, RTS Babu, KTS Babu, PB Khatkale, O Ghige, P William 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 2
A fault-tolerant model for cloud computing environment using seagull-optimized artificial neural network (SOANN) P William, VP Mishra, S Kannan, G Mamedova, P Lakshmi, PB Khatkale International Journal of Information Technology 17 (4), 2341-2346 , 2025 2025 Citations: 1
Iris recognition using principal component analysis PB Khatkale AIP Conference Proceedings 3175 (1), 020088 , 2025 2025 Citations: 1
AI-Based Machine Learning Models for Predictive Analysis in Biomedical Waste Management P William, PB Khatkale, DK Roy, N Yogeesh, S Kulkarni, PL Gandi Hospital Waste Management and Toxicity Evaluation, 277-298 , 2025 2025 Citations: 1
Framework for Securing Quality Control Process in Engineering Using IOT based Machine Learning Models MK Nigam, PB Khatkale, TD Diwan, S Roy, A Badholia, O Ghige 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 1
AI based mobile machine learning framework for edge video analytics KTS Babu, TD Diwan, GP Lakshmi, L Narasimhan, BA Tingare, ... 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024 Citations: 1
Optimizing Data Traffic: Effective Management of Physical Processes in Networked Information Systems GS Chhabra, P William, A Badholia, VM Tidake, PM Patare, PB Khatkale Sumy State University , 2024 2024 Citations: 1
Enhancing Nanocomposite Filtration Membranes: Refined SVM Approach for Precise Estimation of Permeate Flux and Foulant Rejection PM Yawalkar, P William, VM Tidake, PM Patare, PB Khatkale, AA Khatri, ... Sumy State University , 2024 2024 Citations: 1
Comparative analysis of iris based human identity recognition using various classification algorithms PB Khatkale, A Deshpande, AB Pawar 2023 International Conference on Advances in Computing, Communication and … , 2023 2023 Citations: 1
Multimedia data handling in IoMT KTS Babu, P William, TD Diwan, PB Khatkale, P Verma Internet of Multimedia Things Security, 31-48 , 2026 2026
Case studies on security implementations in IoMT P William, PB Khatkale, P Verma, TD Diwan, AK Haghi Internet of Multimedia Things Security, 191-204 , 2026 2026
Security and Privacy Analysis Using AI-Based Machine Learning Methods P William, PB Khatkale, V Tidake, S Kulkarni Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing … , 2025 2025
Sentiment Analysis Using Machine Learning Methods A Badholia, TD Diwan, P Narooka, PB Khatkale, A Vishnoi, K Kaushik 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
Comprehensive Examination of Machine Learning Methods for Predicting Software Errors L Kittusamy, TD Diwan, P Madan, PB Khatkale, A Vishnoi, K Kaushik 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
Enhancing Efficiency of Declarative Aggregation for Video Analytics Based on Neural Networks KTS Babu, TD Diwan, GP Lakshmi, V Khedkar, PB Khatkale, BA Tingare 2024 International Conference on Intelligent & Innovative Practices in … , 2024 2024
