ICIDECS 2027 invites well-positioned original work in intelligent computing and information systems engineering. Submissions should describe a clear scientific problem, methodology and evidence; report relevant comparisons and limitations; and follow responsible scholarship practices.
TRACK 01Artificial Intelligence and Intelligent Computing
Focuses on intelligent algorithms, machine learning, generative AI, explainable systems and decision support. Submissions should demonstrate methodological innovation and reproducible evaluation in practical computing environments.
Chair: Prof. Tai Hoon Kim — Chonnam National University, South Korea
Co-Chair: Dr. Mohamed Uvaze Ahamed Ayoobkhan — New Uzbekistan University, Uzbekistan
TRACK 02Data Engineering, Analytics and Intelligent Healthcare
Addresses scalable data infrastructure, mining, analytics, knowledge engineering and digital healthcare. Contributions should establish data quality, reliability and value in real information-system applications.
Chair: Dr. Manisha Guduri — Lawrence Technological University, USA
Co-Chair: Dr. Azath Mubarakali — King Khalid University, Saudi Arabia
TRACK 03IoT, Connected and Sensor Systems
Connected sensing, industrial IoT, digital twins and cyber-physical networks. Focus includes reliability, efficiency and real-world interoperability.
Chair: Dr. Abul Bashar — Prince Mohammad Bin Fahd University, Saudi Arabia
Co-Chair: Dr. S. V. Aswinkumer — KLEF, India
TRACK 04Cybersecurity, Privacy and Trust
Secure systems engineering, privacy-preserving analytics and threat detection. Contributions must clearly define threat models and validation approaches.
Chair: Dr. Sivaraman Eswaran — Curtin University Malaysia, Malaysia
Co-Chair: Dr. K. Padmanaban — KLEF, India
TRACK 05Cloud, Edge and Distributed Computing
Explores cloud-native platforms, scalable distributed systems, edge intelligence and resilient digital services. Performance, sustainability and architecture validation are strongly encouraged.
Chair: Dr. D. Mythrayee — Koneru Lakshmaiah Education Foundation, India
Co-Chair: Mr. Ashwin Guduru — Microsoft, USA
TRACK 06Computer Vision, Generative AI and Emerging Computing
Studies computer vision, generative models, multimodal intelligence and emerging computing paradigms. Contributions should connect technical novelty with carefully evaluated information-system applications.
Chair: Dr. Senthil Kumar A. M. — VIT Chennai, India
Co-Chair: Mr. Rama Krishna Cherukuri — Navy Federal Credit Union, USA
Information Systems Engineering and Management (ISEM)