Uddin / Singh / Ganokratanaa Proceedings of International Conference on Innovations in Data Science

ICIDS 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-19303-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 518 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

This book contains best selected research papers presented at ICIDS 2025: International Conference on Innovations in Data Science. The conference will be held at Manipal University Jaipur, India during 20 – 21 November 2025. The book covers state-of-the-art as well as emerging topics pertaining to data science.

Zielgruppe

Research

Autoren/Hrsg.

Uddin, Mohammad Shorif

Singh, Dharm

Ganokratanaa, Thittaporn

Kumawat, Gaurav

Inhaltsverzeichnis

Machine Learning-Driven UAVs for Autonomous Fruit Ripeness Detection and Mapping in Precision Orcharding.- Optimizing Data Aggregation for Energy Efficiency in  Wireless Sensor Networks with Neural Network  Prediction Models.- Adaptive Deep QNetwork Framework with Explainable AI for Personalized User Engagement in E-Commerce.- A Lightweight Application-Layer Defense Against Relay Attacks in Contactless Transactions.- Smarter Shields AI and Machine Learning in Combating Insurance Fraud.- Enhancing Academic Pathway Planning through Knowledge Graphs.- Development of Grey Wolf Optimization assisted Machine Learning Frameworks for Trend Prediction of Nifty50 Index.- Privacy Preserving Heart Disease Prediction Using Federated Learning with Attention Based Deep Neural Networks.- Investigation of Meta-heuristically Tuned ML Frameworks for Well Placement Optimization.- Multi Embedding Aggregator for Knowledge Graph Embedding.- Multilingual and Context Aware Hate Speech Detection and Mitigation using AI.

Über Autor(innen)

Prof. Mohammad Shorif Uddin earned his Doctor of Engineering (Ph.D.) from Kyoto Institute of Technology in 2002, Japan, Master of Technology Education from Shiga University, Japan in 1999, Bachelor of Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 1991 and MBA from Jahangirnagar University in 2013. His academic journey began in 1991 as a Lecturer at the Bangladesh Institute of Technology, Chittagong (Currently named Chittagong University of Engineering and Technology). In 1992, he joined the Computer Science and Engineering Department of Jahangirnagar University and at present, he is a full-time Professor in this department. Throughout his career, he has made significant contributions, including serving as the Chairman of the Computer Science and Engineering Department and as the Teacher-in-Charge of the ICT Cell at Jahangirnagar University.

Prof Dharm Singh Jat is a Professor of Computer Science and the UNESCO Chairholder on Secure High-performance Computing for Higher Education and Research established at Namibia University of Science and Technology (NUST). Professor Dharm Singh Jat received his Master of Engineering in Computer Science and Engineering (CSE) from Thapar University, India and PhD in Computer Science and Engineering from M.L. Sukhadia University, Udaipur, India. From 1990 to 2014, he served as an Assistant Professor in the College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur, India. He also served as Honorary Secretary the Institution of Engineers (India), Udaipur Local Chapter. He is Patron and served as Chairman of Computer Society of India, Udaipur Chapter.

Dr. Thittaporn Ganokratanaa is an accomplished engineer specializing in multimedia and signal processing. She began her academic journey with a B.Sc. in Media Technology, graduating with honors from King Mongkut’s University of Technology Thonburi (KMUTT). She furthered her education with an M.Eng. and Ph.D. in Electrical Engineering from Chulalongkorn University, where she honed her expertise in advanced computational techniques. Currently, Dr. Ganokratanaa serves as a lecturer in the Applied Computer Science program within the Department of Mathematics at KMUTT. Her research is centered on image and video analysis, with notable projects in real-time hand gesture recognition and anomaly detection in surveillance videos. She is also exploring the application of deep learning in elder care and healthcare technology, showcasing her dedication to utilizing cutting-edge methodologies to solve practical issues.

Dr. Gaurav Kumawat is a distinguished academic and researcher specializing in Computer Science and Engineering. He is currently an Assistant Professor (Senior Scale) at Manipal University Jaipur. Dr. Kumawat earned his Ph.D. from Manipal University Jaipur, his M.Tech from Pacific University, Udaipur, and his AMIE from the Institution of Engineers, India. With a robust research portfolio, Dr. Kumawat’s work primarily focuses on the application of machine learning in medical and environmental domains. His research has been widely recognized, with numerous publications in esteemed journals showcasing his contributions to these fields. Bringing over 18 years of professional experience to his current role, Dr. Kumawat previously led the Department of Computer Science & Engineering at Techno India NJR Institute of Technology, Udaipur. During his tenure, he played a pivotal role in shaping the department’s academic and research direction.