4th International Conference on Data Science and Artificial Intelligence (ICDSAI) 2025
03-05 June 2025
 
Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be published in SCOPUS indexed PROMS.
 
Springer ICDSAI

  Submission is now open: Till April 20, 2025.Submit Now

A virtual meeting platform may be made available for all registered authors who intend to submit their work but are unable to attend the conference.

Vidya Jyothi Institute of Technology, Hyderabad 

California State University (CSUSB), USA

Mother Theresa Institute of Engineering and Technology(A), Palamaner, India

About Conference

The proposed 4th International Conference on Data Science and Artificial Intelligence (ICDSAI) 2025 represents key ingredients for the 5th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. ICDSAI 2025 aims at collecting scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Please consider submitting to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

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Key Note Speaker(s)

Dr Elo
Dr Elochukwu UKWANDU
Lecturer, Cardiff Schol of Technologies, Cardiff Metropolitan University, Wales, United Kingdom

A Lecturer in Computer Security and Head of Cryptography and Innovation Research Group, Cyber Security and Information Network Centre, Cardiff School of Technologies, Cardiff Metropolitan University, Wales, United Kingdom. He is a PhD graduate of Edinburgh Napier University from the School of Computing specializing in cryptography, information and cyber security in teaching, and learning, research, and development. Above all, a UK Moonshot creator in transformative technologies; Fellow of Higher Education Academy (FHEA); Member, IEEE; Member of three Peer Review Colleges - EPSRC, British Council – ISPF and UKRI Talent Group. Elsevier has recognized him as a top Open Access contributor (2020-2022) for having one of my articles linked to the United Nations Sustainable Goals, helping to tackle some of the world's greatest challenges. He founded and Co-Ordinate an inter-disciplinary research group with academics from more than eight different Universities in Nigeria and South Africa as cohorts. The group focuses in solving machine learning, social media, e-Learning, and cyber security challenges with relevance to the African continent.

Dr Iyy
Dr Bheemarjuna Reddy Tamma
Professor, Dept. of Computer Science and Engineering, Indian Institute of Technology (IIT) Hyderabad

Bheemarjuna Reddy Tamma is a Professor in the Dept. of Computer Science and Engineering at IIT Hyderabad. His research interests are in the areas of Converged Cloud Radio Access Networks, SDN/NFV for 5G and Beyond, Edge enabled V2X for Autonomous Navigation, Network Security, and Green ICT. He has published over 130 articles in refereed international journals and conferences. Dr. Reddy is a recipient of Visvesvaraya Young Faculty Research Fellowship at IIT Hyderabad and iNautix Research Fellowship for his Ph.D. tenure at IIT Madras. He is a co-recipient of Top Cited Article Award from Elsevier publishers, Best Paper Award at COMSNETS 2022, Best Academic Demo Award at COMSNETS 2018, Best Poster Award at ICACCI 2018, 2nd Best Paper Award at IEEE ANTS 2017, and Best Paper award at ICACCI 2015 conferences. He is a senior member of IEEE and a member of ACM and served as a General co-chair for National Conference on Communications (NCC) 2018, TCP co-chair for IEEE ANTS 2015, a TCP vice chair for IEEE ANTS 2014 and a Ph.D. student forum co-chair for IEEE ANTS 2013 conferences.

Dr yuv
Jawahar C V
Professor, Dean RnD & Amazon Chair Professor, Indian Institute of Technology (IIT)  Kharagpur

C. V. Jawahar is the Amazon Chair professor at IIIT Hyderabad, India. At IIIT Hyderabad, Jawahar leads a group focusing on AI, computer vision, and machine learning. In the recent years, he has been looking into the perception and learning problems that overlap with vision and language. He is also interested in designing AI systems, and applications with special focus on Indian setting. He is also passionate about the scalable models for teaching and research.
C.V. Jawahar has contributed significantly to visual recognition, especially in the area of text recognition, person recognition, fine grain classification, and structured prediction. He has worked extensively on recognizing text in Indian languages for OCRs and applications. Another area where Jawahar has been looking into is in enabling computer vision and machine learning for improving the Indian driving situations. A public data set (IDD) for this has been released in 2018. He is looking into the effectiveness of computer vision for inspecting road conditions, improving safety and providing driver assistance. He is also interested in applications of AI in assistive technologies, healthcare, education, cultural heritage and entertainment.
 

Dr Lalit

Dr. Yu-Chen Hu
Professor in the Department of Computer Science, Tunghai University, Sha-Lu, Taiwan

Dr. Yu-Chen Hu received his PhD. degree in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan. Currently, Dr. Hu is a professor in the Department of Computer Science, Tunghai University, Sha-Lu, Taiwan. He is a senior member of IEEE. He is also a member of Computer Vision, Graphics, and Image Processing (CVGIP), Chinese Cryptology and Information Security Association (CCISA), Computer Science and Information Management (CSIM) and Phi Tau Phi Society of the Republic of China. He joins the editorial boards of Advances in Multimedia (Hindawi), CMC-Computers, Materials & Continua (Tech Science Press), IET Image Processing, Intelligent Automation & Soft Computing (Tech Science Press), Mathematical Problems in Engineering (Hindawi), etc. His research interests include data compression, image processing, information hiding, information security, computer networks, deep learning, and bioinformatics.

Amin
Dr. Ghanapriya Singh
National Institute of Technology, Kurukshetra , India

Dr. Ghanapriya Singh is working as an Asst. Professor (Grade I) in Department of Electronics and Communication Engineering at National Institute of Technology, Kurukshetra since Nov 2022. Prior to this, she was working as an Asst. Professor (Grade II) in Department of Electronics Engineering at National Institute of Technology, Uttarakhand since 2013. She has received her Ph.D. degree in Signal Processing from Indian Institute of Technology (IIT) Delhi. During her research at IIT, she was working on a project with STMicroelectronics, Santa Clara, California, USA. Her research work done at IIT was also showcased at CES, USA that is the largest consumer electronics show. She is an Inventor on 5 granted US patents and a European patent. She is an Investigator in the project funded by Ministry of Electronics and Information Technology and Department of Science and Technology, Govt. of India. She has authored in high impact factor SCI indexed journals. Her current research interests include context awareness, image processing, speech processing, signal processing for IoT.

Focused Networking
Provides a free and open atmosphere where attendees talk and engage in creative ways.
Expert Speakers
Our speakers represent the cream of research and development practitioners worldwide.
Brilliant Ideas
High-impact, collaborative and new approaches to some of the world’s toughest problems.
Exceptional Program
Includes demonstrations, keynote speeches, plenary panel, breakout sessions as well as the industry program.
Global Participation
Anticipating attendees from various countries all over the world.
Inspirational Learning
Bringing together a researchers from several fields to collaborate together and create lasting change.

Conference Tracks
Data-Science
  • Data Mining
  • Real-time data management in navigation and mobility
  • Data Integrity,Data Privacy and Security
  • Data Analytics and Modeling
  • Very Large Data Systems
  • Image processing and pattern recognition
  • Energy-Efficient Data Management Techniques
  • Database and Data warehouse
  • Computer Vision and Statistical Learning
  • Machine learning for Large DataSets
  • Big Data Analytics & Computing
  • Extreme Learning Machines
  • Hybrid Intelligent Systems
Artificial Intelligence Applications in Data Science
  • Data Modeling & Semantic Engineering
  • Benefits of AI in Big Data Analytics
  • Volume Growth of AI in Metadata use and management
  • Managing Analytics of Big Data
  • High performance data mining algorithms
  • Ontologies and Knowledge sharing
  • Data Science Models and Approaches with AI
  • Hybrid Machine Learning Systems for Data Science
  • Machine Learning Recommender systems in Big Data
  • Scalable Computing Models, Theories, and Algorithms
  • Performance Evaluation Reports for Big Data Systems
  • Many-Core Computing and Accelerators
  • Analytics Reasoning and Sense-making on Big Data