Proceedings of Data Analytics and Management

Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has Industrial experience of 8 years in organisations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He has served at various administrative positions such as Head of the Department, Division Chair, NBA coordinator for the university, Head Training & Placements. Currently, he is serving as Professor & HoD department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, and Delhi. He is actively engaged in research. He has more than 60 quality publications out of which 8 are SCI and 16 scopus. Two of his Ph.D. Scholars have completed his Ph.D. from NIT Kurukshetra and IIT Dhanbad. He is currently supervising one Ph.D. student from AKTU Lucknow.Prof. Bal Virdee graduated with a BSc (Engineering) Honours in Communication Engineering and MPhil from Leeds University, UK. He obtained his PhD from University of North London, UK. He was worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, ie: Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, Short Course Organiser, Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems and BSc Electronics. In 2010 he was appointed Academic Leader (UG Recruitment). He is a member of ethical committee, member of the school's research committee, and research degrees committee.Prof. Sérgio D. Correia received his Diploma in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2000, his Master's Degree in Industrial Control and Maintenance Systems from Beira Interior University, Covilhã, Portugal, in 2010, and the Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2020. He is a Professor at the Portalegre Polytechnic University, Portugal, where he is the head of the Laboratory for Electronics and Instrumentation (LEI). He is a Researcher at NOVA School of Science and Technology, Center of Technology and Systems (UNINOVA-CTS), and VALORIZA - Research Center for Endogenous Resource Valorization, Portalegre Polytechnic University, Portalegre, Portugal. His current research interests are Embedded Artificial Intelligence, Soft Computing, Embedded Systems, and Computer Architecture, topics on which he is an editor of several scientific journals and a collaborator at several International Conferences.Prof. (Dr.) Zdzislaw Polkowski is an Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also the Rector's Representative for International Cooperation and Erasmus Programme and former dean of the Technical Sciences Faculty during the period of 2009–2012 His area of research includes Management Information Systems, Business informatics, IT in business and administration, IT security, Small Medium Enterprises, CC, IoT, Big Data, Business Intelligence, and Block chain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in the various parts of the world.  He is also playing the role principal investigator.

• A Comprehensive Study on Hybrid Injection Attacks in Al- Driven Applications.- A Review of Ciphertext-Policy Attribute-Based Encryption Models:Comparative Analysis and Hybrid Integration for Secure Cloud Access Control.- Predicting Stroke Outcomes Using Machine Learning: Analysis of Clinical and Imaging Data.- Optimized Deep Learning Framework for Rheumatoid Arthritis Diagnosis Using Medical Imaging and Blood Biomarkers.- A Time-Aware Random Forest Regression Model for High- Accuracy AC Power Forecasting in Indian Solar Farms.- A High Speed Energy efficient GAN-Tuned Trunc-O-SRAM for Robust Flexible Image Intelligence Systems.- Explainable AI for Urban Air Quality Forecasting: Integrating Satellite, Traffic, and IoT Sensor Data.- AI-Powered Precision Agriculture: Integrating Computer Vision and IoT for Sustainable Crop Management.- Hybrid Deep Learning Framework for Automated Lung Cancer Detection and Stage Classification from CT scans using Deep Learning.- Hate Speech Detection in Social Media Using Deep Ensemble Algorithm.