Pratik Kamal Agrawal
@sitnagpur.siu.edu.in
Assistant Professor, Computer science & Engineering
Symbiosis Institute of Technology Nagpur
EDUCATION
Ph.D in Computer Science Engineering from Sant Gadge Baba Amravati University 2019
MTECH (Computer Science) from Shri Ramdeobaba College Of Engineering & Management 2013
B.E. (Information Technology)from Prof. Ram Meghe Institute Of Technology & Research, Badnera 2011
H.S.C Brijlal Biyani Science College, Amravati. 2007
S.S.C. Bhawrilal Samra High School, Amravati 2005
RESEARCH, TEACHING, or OTHER INTERESTS
Human-Computer Interaction, Artificial Intelligence, Information Systems
FUTURE PROJECTS
Designing a Secure Blockchain based Framework for the Sentiment Analysis of the opinions.
This research work will aims at developing a blockchain based secure platform for the authentication of the opinions expressed by the user. The work focuses on the problems that currently exist in NLP domain for opinion data analysis, such as weak data source reliability, data being easily tampered with, and asymmetric permissions for data access. - Proposed to submit a Research Project at R & D in Information Technology, Ministry of Electronics & Information Technology (In Progress).
Applications Invited
Garbage Collection and Management System (Patent Granted on 11th May 2023) -Product development is in progress for the commercialization
The research work has focused in developing a system in which a smart bin is designed and developed for accurate level prediction of large bin. The intelligent bin also detect the presence of fire in the bin and management remedies for controlling. The calculation of approximate time required for filling for prediction of collection unit required, detection of human presence in the bin and alerting the system for appropriate measures, finding optimal path by geo mapping location of bin and collecting unit, analyzing the next bin that is to be collected in the same optimal path by incorporating the different controllers and sensor of the IOT module and artificial intelligence approach for analyzing and path finding.
Applications Invited
Designing a Multimodal Opinion analysis system using deep learning approaches
The research work aims at developing a novel approach for multimodal sentiment analysis. The approach is based on a multimodal fusion architecture that integrates text, audio, and visual modalities. Traditional sentiment analysis techniques usually rely solely on analyzing text data. However, in many real-world scenarios, such as social media posts, videos, and voice recordings, the sentiment expressed can also be conveyed through non-textual modalities. Hence, multimodal sentiment analysis aims to integrate the information from these multiple modalities to improve the accuracy and reliability of sentiment analysis.
Applications Invited
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Deshmukh Kalyani H., Bamnote Gajendra R., and Agrawal Pratik K
Totem Publisher, Inc.
Rohini Suhas Kale, Jayashri Hase, Shyam Deshmukh, Samir N. Ajani, Pratik K Agrawal, and Chhaya Sunil Khandelwal
Taru Publications
This study examines, from a security and privacy standpoint, the significant obstacles to maintaining data integrity and confidentiality in edge computing contexts. Data security at the edge becomes critical as more and more edge devices proliferate and generate large volumes of sensitive data. The review of the literature looks at edge computing security problems that currently exist and discusses fixes to protect data integrity and confidentiality. The article explores various vulnerabilities, emphasizing the necessity for strong security systems, including data exposure risks and integrity concerns. It examines secure communication protocols, access control methods, and encryption techniques as crucial risk-reduction instruments. Anonymization and differential privacy are two privacy-preserving techniques that are investigated to find a middle ground between user privacy and data value. The article provides real-world insights through case studies and actual implementations, and it lays out metrics and evaluation criteria for determining how successful security measures are. Finally, the report highlights the need of addressing data security in changing edge computing settings and offers future directions and research difficulties.
Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, and S. Saranya
MDPI
: The resource-constrained nature of wireless sensor networks (WSNs) creates a number of difficulties in their operation and design that lower their performance. However, distinct applications with unique constraints in their nature make it more difficult for such resource-constrained networks to meet application objectives. These issues can be observed at various WSN layers, from the physical layer up to the application layer. Routing protocols are primarily focused on WSN functioning at the routing layer. These obstacles make routing protocols perform worse, which lowers the performance of WSNs as a whole. This study’s objective is to pinpoint WSN performance issues and examine how they affect routing protocol performance. To this end, a detailed literature review was conducted to determine the problems influencing the performance of the routing protocols. Then, an actual investigation was carried out by simulating various routing protocols, taking into consideration these issues, in order to validate the impact of the discovered challenges from the literature. The findings are shown. On the basis of the findings from the empirical study and the literature review, suggestions are offered for a better protocol choice in light of the application nature and the problems that need to be addressed.
Pratik K. Agrawal, Hitesh Gehani, Parul Dubey, and Sohil Bura
The ScienceIn Publishing
Pratik K. Agrawal
Springer Science and Business Media LLC
Swapnil V. Deshmukh, , Apash Roy, and Pratik Agrawal
MECS Publisher
Parul Dubey, Pushkar Dubey, Pratik K Agrawal, Harshita Chourasia, Manjushree Nayak, and Hitesh Gehani
IEEE
Knowledge and insight extraction from large datasets has been revolutionised by the rapid development and expansion of data science in recent years. Bibliometric analysis is an effective method for studying research tendencies, significant authors, institutions, and major areas of attention to better comprehend the development of this field as a whole. Here, employing Web of Science's massive database, we give a bibliometric study of research in data science conducted over the previous decade. We use a number of bibliometric indicators and visualisation tools to try and spot trends, new areas of study, and key players in the field. Publication output, citation patterns, cooperation networks, and research hubs are just few of the many aspects we consider in our analyses. Our goal in conducting this extensive analysis is to illuminate the most important trends that have formed the field of data science over the last decade and give novel perspectives on the discipline's history, development, and future. Researchers, practitioners, and policymakers may use this study as a starting point for thinking critically about the ever-changing environment of data science and locating promising new areas for investigation and cooperation.
Pratik K. Agrawal and Abrar S. Alvi
IEEE
Internet has become a more popular medium of sharing the opinions or feedback about particular topics. The feedbacks are often in the form of numerical ratings and text. Numerical ratings are easily processed but waste amount of unstructured textual data present on the internet in the forms of web blogs, emails, customer experiences, tweets etc that is left unprocessed. This data should be processed in order to retrieve more specific opinions that will be helpful in making more appropriate decision. In this paper we reviewed all the different approaches that are used for processing the text data. The different approaches help us to identified challenges and scope present in the textual feedback analysis.
Pratik K. Agrawal, Abrar S. Alvi, and G. R. Bamnote
Springer India
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
Publications
Agrawal, P.K. A Novel Mapper Machine Learning Algorithm for Semantic Domain Mapping for Domain Database Updation. SN COMPUT. SCI. 4, 536 (2023). .
Pratik Agrawal, Swapnil V. Deshmukh, Apash Roy, "Retinal Image Segmentation for Diabetic Retinopathy Detection using U-Net Architecture". International Journal of Image, Graphics and Signal Processing MECS Press, Vol. 15, No. 1, Feb. 2023, 15. 79-92. 10.5815/. 2023
Pratik K.Agrawal, Vaishnavi Kamdi, Ishan Mittal, Pranav Bobde, Amarsingh Kashyap “A Novel Approach to Automatic Identification and Detection of Aquatic Animal Species". International Journal of Next-Generation Computing, 14(1). 2023
Abhijeet R. Raipurkar, Pratik K. Agrawal, Radha Malichkar, Snehal Mopkar, Chetan Pardhi, Saiyyed Khhizr Aalam "Dynamic Microservice based scalable approach to list product deals". International Journal of Next-Generation Computing, 14(1). 2023
Anita Prajapati,Dr. Pratik Agrawal "Twitter Emotion Detection and Recommendation of Motivational Video" JOURNAL OF ALGEBRAIC STATISTICS Volume 13, No. 3, 2022, p. 2237-2249 ISSN: 1309-3452
Vrushabh Shende, Pratik Agrawal, Komal Hole "A Survey on different Machine Learning Approaches", International Journal for Research in Applied Science & Engineering Technology (IJRASET)ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887 Volume 7 Issue
GRANT DETAILS
Acquired a Grant-in-Aid from AICTE under the scheme of Modernization and Removal of Obsolescence (MODROB) for the year 2019-20 payable during the current financial year 2020-21. Title of Project: Cloud Computing & Data Analytics Laboratory. Total Grant-in-aid Sanctioned: Total: Rs 15, 84,769/-.
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Patent: 02
• P.K. Agrawal & Dr. A.J. Agrawal Patent Granted on “A Garbage Collection and Management System” Reference No 20222026899, App No: Temp E-1/47794/2022-MUM CBR No 18893. Publication Date : 05/08/2022, Granted Date: 11th May 2023.
• P. K. Agrawal, Dr. A. S. Alvi, Patent Published on “Web Intelligent Based Method for Self Learning Feedback Analysis System” Reference No 201721038402, App. Number: Temp/E-1/39132/2017-MUM, CBR No 20554 Date:30-10-2017.
Copyrights :01
• Pratik Kamal Agrawal Title "Smart Garbage Management System by using Artificial Intelligence Approach" Diary NO: 13122/2019-CO/L, Literary/ Dramatic Status: Registered Date: 30 Nov 2019.
Development of Learning Management System Portal and their associated Virtual Programming Lab and Virtual Classroom Plugin for the conduction of Academic Curriculum in the PRMIT&R Badnera. The portal benefited 3500 students and 250 faculties for the smooth conduction in the academic year 2018 till date and Consultancy of Rs 40,000 was generated in the academic year 2022-23 from the other institute for the installation and the use of the developed LMS portal and their associated plugin
CONSULTANCY
Developed a Learning Management System and their associated Virtual Programming Lab and Virtual Classroom Plugin for the conduction of Academic Curriculum. (Consultancy generated of Rs 67,000/- for the implementation in other institute.)
Technical Consultancy of Rs 50,000/- in the academic year 2022-23 for providing the Cloud Computing services to Western Coal Limited (WCL), Nagpur and launch a Professional Global certification Cloud Computing courses for the students of overall institute in region.
Industry, Institute, or Organisation Collaboration
Global Certified AWS Cloud Practitioner Educator from AWS on 24th Nov 2022 for the conduction of Professional technical Courses on Cloud Computing applications and generated a Technical Consultancy of Rs 50,000/- in the academic year 2022-23 for providing the services to Western Coal Limited (WCL), Nagpur and launch a Professional Global certification courses for the students of overall institute in region.
SOCIAL, ECONOMIC, or ACADEMIC BENEFITS
• System Manager & Administration: - Development & Management of IT infrastructure in the institute.
• E-Learning Software Cell: Development & Implementation of E-learning Software in the institute.
• Amazon Academy Single Point of Contact (SPOC):- handling Institute Collaboration with AWS.
• Amazon Academy Accredited Educator: - Conduction of Cloud Computing Professional Certification Courses
• E-Yantra IIT Bombay Robotics Lab Coordinator: Under taking Projects & Robotics Embedded System Programming Courses for the students.
• Website Committee Member: Development upgradation and Maintaince of institute website
• AICTE Smart India Hackathon SPOC: Conduction of Internal Hackathon and student project submission.
• Institute Alumni Council Member
• Research Lab Coordinator: Dept of Computer Science & Engineering.
• University Exam Coordinating Member
• Institute Online & Social Media Publicity & First Year Egg Admission Committee Member