KI-Beratung Beta

Produktbild: Proceedings of International Conference on Artificial Intelligence and Security
Vorbesteller Neu

Proceedings of International Conference on Artificial Intelligence and Security ICAIS 2026

362,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

This book features high-quality research papers presented at International Conference on Artificial Intelligence and Security (ICAIS 2026), organized by SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Indore, India, during April 2 – 3, 2026. This book discusses the topics in multidisciplinary...

Beschreibung

This book features high-quality research papers presented at International Conference on Artificial Intelligence and Security (ICAIS 2026), organized by SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Indore, India, during April 2 – 3, 2026. This book discusses the topics in multidisciplinary intersection of AI, cybersecurity, ethical governance, and emerging digital risks, offering readers a comprehensive resource on both foundational advances and applied innovations.

Portrait

Thittaporn Ganokratanaa is an Assistant Professor in the Applied Computer Science Programme at King Mongkut’s University of Technology Thonburi (KMUTT). She specializes in artificial intelligence, computer vision, image processing, IoT, multimedia signal processing, and human-computer interaction. She received her Ph.D. in Electrical Engineering (Multimedia and Signal Processing) from Chulalongkorn University, with joint research collaboration at the University of Trento, Italy. She has published over 60 papers in international journals, conference proceedings, books, and book chapters, and has led award-winning projects such as AI-driven prosthetic arms, IoT-enabled healthcare systems, digital herbal platforms, and anomaly detection technologies. Her works have been recognized with multiple gold and silver medals at the International Exhibition of Inventions Geneva and the Japan Design, Idea, and Invention Expo (JDIE 2024), as well as national innovation awards from the NRCT. A certified IEEE Volunteer Leadership (VoLT) Program graduate (2020), currently serves as Secretary.

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). He received his ME in (CSE) from Thapar University, India and PhD in Computer Science and Engg. from M.L. Sukhadia University, Udaipur, India. He served in (MPUAT), Udaipur, India, also served as Honorary Secretary the Institution of Engineers (India), Udaipur Local Chapter. He is Patron and served as Chairman of CSI, Udaipur Chapter. He serves as Chair of the (ACM) Windhoek Chapter, Distinguished ACM Speaker, and IEEE Computer Society DVP Speaker. For more than 33 years in industry and academia, Prof Dharm Singh Jat has led several innovative projects successfully, provided leadership in research and development. He served as an Associate Editor of IEEE ACCESS, Keynote speaker for several IEEE and ACM international conferences.

Akhilesh Kumar Sharma is a seasoned academic leader, researcher, and technologist with over 21 years of experience, a strong record of international publications, patents, keynote addresses, and academic leadership roles. His expertise spans Big Data, AI, Machine Learning, Cognitive Intelligence, and Music Information Retrieval, with global recognition and collaborations. Dr. Sharma holds a Ph.D. in CSE, Masters of Engg. in CSE, and B.E. in CSE. With over 21 years of academic and research experience, he is currently Professor at Manipal University Jaipur. His expertise spans Big Data Analytics, Machine Learning, Deep Learning, Cognitive Intelligence, Data Mining, and Classification/Clustering methods. Dr. Sharma has authored 80+ SCI/Scopus-indexed publications, guided B.Tech, M.Tech, and Ph.D. scholars, and completed sponsored R&D projects.

Shamik Tiwari, recognized among the World’s Top 2% Scientists by Elsevier & Stanford University (2023 & 2024), is a distinguished academic leader, researcher, and innovator in Computer Science with over 22 years of experience. As Founding Dean of the School of Computer Science & Engineering at IILM University, Gurugram, he has shaped forward-looking academic programs aligned with NEP2020, integrating industry collaborations, cutting-edge labs, and experiential learning initiatives. His funded research includes developing a non-invasive AI-based diagnostic tool for diabetic retinopathy, supported by BIRAC, DBT, Government of India. With expertise in AI, Data Science, ML, NLP, and Computer Vision, he has advanced both education and applied research. Dr. Tiwari has played key roles in accreditation processes (NAAC, NBA, NIRF, ABET) and built collaborations with IBM, Intel, EY, AWS, and Microsoft. A Fellow of CPRG, he contributes actively to global AI education, research, and policy development.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.12.2026

Abbildungen

XII, 362 p. 101 illus., 51 illus. in color.

Herausgeber Thittaporn Ganokratanaa + weitere

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.12.2026

Abbildungen

XII, 362 p. 101 illus., 51 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

362

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-43900-0

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Proceedings of International Conference on Artificial Intelligence and Security
  • Extracting Secrets Through Interpretability: Privacy Threats in Explainable AI Systems and Cryptographic Mitigation Strategies.- Bridging Language and Mathematics: A Topological Approach to Universal Semantic Mapping.- Real-Time Tomato Leaf Disease Detection Using YOLOv10 for Precision Agriculture.- Mobile ApplicationTesting: Trends, Techniques, Challenges and Solutions.- Comparative Analysis of Ensemble Machine Learning Models for Concrete Strength Prediction.- etc.