HomeConferenceIEEE ConferenceIEEE International Conference(SISCON 2025) at Marian Engineering College, Thiruvananthapuram

IEEE International Conference(SISCON 2025) at Marian Engineering College, Thiruvananthapuram

Institution Name: Marian Engineering College, Thiruvananthapuram

Event Type: International Conference

Conference Name: IEEE International Conference on Smart and Intelligent Systems(SISCON 2025)

Conference Start Date: 19-12-2025

Conference End Date: 20-12-2025

Conference Organization Department: Department of Artificial Intelligence and Machine Learning

About the Conference : SISCON 2025 invites researchers, engineers, faculty, and scholars to gather and delve into the ever-evolving landscape of Smart and Intelligent Systems. This conference is jointly organized by the Department of Computer Science and Engineering and the Department of Artificial Intelligence and Machine Learning at Marian Engineering College, Thiruvananthapuram.

Conference Tracks:


Track1: 

  • Advanced Algorithms
  • IoT in Smart Systems
  • Blockchain
  • Data Analytics
  • Computer and Communication
  • Cyber Physical Systems
  • Data Mining and Information Retrieval
  • Deep learning and neural networks
  • Computer Vision
  • Natural Language Processing
  • Parallel and Distributed Computing
  • Security and Privacy in Computing and Communication
  • Edge Computing
  • Cloud Computing Intelligent and Cognitive Systems
  • Pattern Recognition and Intelligent Systems
  • Data visualization
  • Quantum Computing
  • Machine Learning
  • Dependable Computer Systems
  • Generative AI

Track2:

  • Audio Signal Processing Biomedical Signal Processing
  • Instrumentation and Control
  • Optical interconnects and Networks
  • Low power electronics and energy harvesting
  • Machine learning for Signal Processing
  • Robotics and Automation
  • Signal Processing for Communications and Networking
  • VLSI and Embedded Systems
  • Wireless Communication and Sensor Networks
  • Signal Processing and Video Analytics
  • Cryptography and Secure Communication
  • Microelectromechanical / Nanoelectromechanical systems
  • Assistive Technology
  • Deep learning for Communication
  • Smart Wearable Devices
  • Smart Antennas
  • IoT Architectures, Protocols, and Algorithms

Track3:

  • Intelligent Control systems
  • Automotive Control Systems
  • Control of Aerospace Systems
  • Control of Constrained Systems
  • Control Systems
  • Industrial Process Control & Automation
  • Intelligent Autonomous Systems
  • Smart Transportation
  • Power Systems
  • Networked Control Systems
  • Renewable Energy systems
  • Smart Grid
  • Smart Power Generation
  • Intelligent Power Systems and Environments
Who can participate? Professionals/Scholars


Registration Fee:

Professionals Scholars
Registration fees IEEE Members Non-IEEE Members IEEE Members Non-IEEE Members
Conference only 7500 INR* / 200 USD** 8500 INR* / 250 USD** 6500 INR* / 150 USD** 7500 INR* / 200 USD**
Tutorial only 1000 INR* / 50 USD** 1500 INR* / 75 USD** 750 INR* / 40 USD** 1000 INR* / 50 USD**
Conference + Tutorial 8000 INR* / 225 USD** 9000 INR* / 300 USD** 6750 INR* / 175 USD** 7750 INR* / 225 USD**
Indian non-author attendee 4000 INR* 4500 INR* 3000 INR* 3500 INR*
Additional rate/paper 2000 INR* / 100 USD** 2000 INR* / 100 USD** 2000 INR* / 100 USD** 2000 INR* / 100 USD**

 

Paper Submission Link : https://cmt3.research.microsoft.com/siscon2025

Important Dates:

  • Paper Submission Opening Date :1st March 2025
  • Paper Submission Deadline : 23rd July 2025
  • Notification to Authors: 12th Aug 2025
  • Registration Opens: 1st Sep 2025
  • Camera-Ready Submission Deadline: 20th Oct 2025
  • Date of Conference: 19th – 20th Dec 2025


Institution Website: https://www.marian.ac.in/

Venue:

Marian Engineering College,
Kazhakuttom, Thiruvananthapuram,
Kerala, India 695582

Conference Website: Click here

About Institution: Marian Engineering College, established in 2001, is a leading institution for engineering studies in Kerala’s self-financing sector. The College is proudly celebrating its Silver Jubilee, marking 25 years of Academic Excellence and Transformative Education. Affiliated with APJ Abdul Kalam Technological University (KTU) and approved by AICTE, the college is situated on a sprawling 40-acre campus of Marian Educity near prominent institutions like the Vikram Sarabhai Space Centre and Technopark. Managed by the Trivandrum Social Service Society under the Trivandrum Latin Catholic Archdiocese, the college aims to cultivate professionals characterized by competence, confidence, commitment, and compassion. All eligible programmes are accredited by NBA. Marian Engineering College benefits from the Archdiocese’s extensive experience in managing quality educational institutions. MEC has the vision to be a center of excellence in engineering education and research that fosters innovation, entrepreneurship and social responsibility.

About Department: In this century’s technological development in artificial intelligence and machine learning have emerged as some of the most high-growth, exciting field, transforming our work and lifestyle.. From the start of June 2022, Marian College of Engineering, Trivandrum establishes a new department ‘Artificial Intelligence and Machine Learning’. The department’s work will be guided by its dedication to excellence in the research, development, and design of cutting-edge technologies for the next generation in the fields of artificial intelligence and data analytics. This course intends to teach not just fundamental concepts like deep learning, big data analytics, and artificial intelligence but also more complex ideas like machine learning. By the end of the course, students will have acquired cross-disciplinary skills in statistics, computer science, machine learning, logic, and data analytics, and they will be ready for careers in the healthcare industry, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other crucial fields. This program’s main objectives are to promote industry-academic cooperation, encourage cross-domain collaboration in research, and equip our students participate in interdisciplinary projects by translating newly created technology into practical applications.

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