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 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.