Research Groups

Research Group Faculty Members  
Computer Security Dr. Anita John
Dr. Varghese Paul
Mr. Biju Abraham N
Mr. Sandy Joseph
Ms. Jomina John
Ms. Jisha Mary Jose
  • All research groups actively assign projects to students, fostering hands-on learning and innovation.
  • Faculty members provide dedicated guidance to students on their research projects.
  • Research groups regularly organize certificate programs to enhance students' expertise in niche areas.
  • Workshops, seminars, and training sessions are conducted to keep students updated with the latest developments in the field.
  • Collaborative opportunities with industry and academia are offered to students through these research groups.
Image Processing Dr. Jincy J. Fernandez
Dr P Sojan Lal
Ms. Dincy Paul
Mr. Harikrishnan M
AI & ML Dr. Sminu Izudheen
Dr. Sunny Joseph K
Dr. Jisha G
Dr. Preetha K.G
Dr. Tripti CDr. Mary Priya Sebastian
Ms. Sangeetha Jamal
Mr Paul Augustine
Dr.Sunny Joseph K
Ms. Meenu Mathew
Ms. Anu Maria Joykutty
Mr. Ajith S
Ms. Amitha Mathew
Ms. Liya Joseph
Mr.Sebin Jose
Ms. Mehabooba P.Shareef
Ms.Asna P K
Ms.Janani K
Ms. Sherine Sebastian
Ms.Seema Safar
Ms.Ann Grace
Research Group Relevance of Research Group with PSOs
PSO1 PSO2 PSO3
  Computer Security

Tackling challenges like cybersecurity threats, data breaches, and secure computing systems directly addresses national priorities like digital security.

Developing secure algorithms and software for encryption, authentication, and intrusion detection is critical for industry-ready products.

Opportunities to innovate in secure system design encourage entrepreneurship and cutting-edge research in cybersecurity.
Image Processing

Analyzing and processing images for domains like healthcare, remote sensing, and defense contributes to problem-solving in multidisciplinary fields.

Software tools and algorithms in image analysis for applications like facial recognition or medical diagnostics demonstrate programming and software development relevance.

Developing novel image processing techniques for use in healthcare diagnostics, autonomous vehicles, or satellite imaging demonstrates societal impact and research depth.
AI & ML

AI-driven solutions for agriculture, healthcare, or urban planning (e.g., smart cities) exemplify addressing grand challenges using core computer science concepts.

Building machine learning models and AI frameworks requires robust software design, aligning perfectly with industry demands for scalable and efficient AI systems.

The ability to innovate AI-based products and services (e.g., chatbots, predictive analytics, autonomous systems) bridges societal demands and research excellence, fostering entrepreneurial growth.