Your browser is out of date!

Update your browser to view this website correctly.

Google Chrome

Mozilla Firefox

Internet Explorer

Apple Safari



Vidya Academy of Science & Technology

A unit of Vidya International Charitable Trust

Artificial Intelligence & Machine Learning

Phone / Email




Artificial Intelligence and Machine Learning (AI & ML) is an emerging area which expands its boundaries to a variety of fields. AI & ML has now proven high impact in different sectors like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more.  The department of Artificial Intelligence and Machine Learning (AIML) is established with a vision to emerge as a premier center for education and research in Artificial Intelligence and Machine Learning. The department currently offers a 4 year B.Tech programme in the engineering stream under the affiliation of KTU. The current intake to this programme is 60. This programme covers the fundamentals of computer science courses along with industry oriented courses pertaining to AI and ML. This course is best suited for students seeking to build expertise in Artificial Intelligence and Machine Learning and emerging technologies.


Career opportunities in Artificial Intelligence and Machine Learning are Data Scientist, Machine Learning Engineer, Research Scientist, Business Intelligence Developer, Product Manager, Robotics Scientist and many more. The faculty members are highly motivated and devoted in delivering the highest quality professional education to students, and strive to excel in their research areas. Our initiatives will definitely mould the students in such a way that they face the external world with prompt technical, interpersonal and problem-solving skills.


Dr. Sunitha C




04885287751 Ext : 186

Ms. Riya P D

Assistant Professor


Ms. Anju K P

Assistant Professor



Dr. Sunitha C



04885287751 Ext : 186

Previous Experience :- 22 years of teaching experience

Areas of Interest :-

  • Artificial Intelligence
    Machine Learning
    Data Sciencer
    Natural Language Processing
Overview Dr. Sunitha C, a passionate teacher and a motivational administrator, has more than two-decade career in the education field. Dr. Sunitha C completed her B.Tech degree in Computer Science & Engineering from Govt. Engineering College, Thrissur and secured M.Tech in Computer and Information Science from Cochin University of Science & Technology. She was awarded Ph.D in Computer Science & Engineering from B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai for the thesis titled "A Pragmatic Approach towards Automatic Summarization of Malayalam Web Documents using Clause Identification and Sentence Framing Method". She started her teaching career in the year 2003 as a Lecturer in the Department of Computer Science & Engineering at Vidya Academy of Science & Technology and subsequently serving in various capacities such as Senior Lecturer, Asst. Professor, Associate Professor, Professor and Head of Department. In 2023, she was promoted to the position of Vice Principal. Dr. Sunitha C has an excellent track record in teaching as well as research field and has guided many undergraduate and postgraduate projects during these years. She has contributed to the research world through paper publications with more than 700 citations. Her area of research interest includes Machine Learning, Deep Learning Natural Language Processing and Data Science. She is a lifetime member of ISTE & CSI. In addition, Dr. Sunitha C spearheaded various roles and responsibilities at institute level and has been an integral part of various initiatives of the institution

PEOs, POs & PSOs


PEO 1: To produce graduates with a strong foundation in the principles and practices of artificial intelligence and machine learning, equipped with the skills to analyze, design, and implement intelligent systems.

PEO 2: To prepare graduates for successful careers in the rapidly evolving field of AI and machine learning by ensuring they possess practical skills, problem-solving abilities, and adaptability to emerging technologies.

PEO 3: To instill a sense of ethics and responsibility in graduates, emphasizing the importance of considering ethical implications and societal impact in the development and deployment of AI and machine learning solutions.


PSO 1: To learn the basic concepts of Artificial Intelligence and Machine Learning and to apply them to various areas like Computer Vision, Product Recommendations, Natural Language Processing, IoT etc. 

PSO 2: To understand, analyze and develop essential proficiency in terms of underlying statistical and computational principles of Artificial Intelligence and Machine Learning and apply the knowledge to solve practical problems.

PSO 3: To apply the concepts of Artificial Intelligence and Machine Learning with practical knowledge in analysis, design and development of intelligent systems and applications to multi-disciplinary problems.

Program Outcomes (POs)

The graduates of Artificial Intelligence & Machine Learning will be able to:
01. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and Artificial Intelligence and Machine Learning specialization to the solution of complex engineering problems.
02. Problem analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
03. Design/development of solutions: Design solutions for complex engineering problems, design system components or processes that meet the specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
04. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
05. Modern tool usage: Create, select, and apply appropriate techniques, resources, modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
06. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
07. Environment and sustainability: Understand the impact of the professional engineering solutions in the societal and environmental contexts, and demonstrate the knowledge for sustainable development.
08. Ethics: Apply ethical principles and commit to professional responsibilities for better engineering practice.
09. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary surroundings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and society at large, to comprehend and write effective reports, design documentation, and make effective presentations, as per the guidelines.
11. Project management and finance: Demonstrate knowledge and understanding of engineering and management principles, apply these to one’s own work, as a member or leader in a team, to manage projects in multidisciplinary environments.
12. Lifelong learning: Recognize the need for preparation, engage in independent and lifelong learning in the broadest context of technological change.



Will be updated soon



AY 2023-24

AY 2022-23





Vidya Academy of Science & Technology

Thalakottukara P.O., Kecheri, Thrissur - 680501, Kerala, India

Phone: +91 4885 287751, 287752

Fax: +91 4885 288366


VICT | Vidya Kilimanoor | IT Division

locate us

Affiliated to APJ Abdul Kalam Technological University & Approved by AICTE | ISO 9001 : 2015

Copyright © 2024, All Rights Reserved.