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Vidya Academy of Science & Technology

A unit of Vidya International Charitable Trust

Artificial Intelligence & Machine Learning

Phone / Email

  04885287751

  04885287752

 aimlhod@vidyaacademy.ac.in

About

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.

Vision

To evolve as a center of excellence for higher education in the field of Artificial Intelligence and Machine Learning

Mission

M1: To equip the graduates with the latest technologies in the field of Artificial Intelligence and Machine Learning
M2: To imbibe new knowledge by collaborating with industry and research organizations to mould competent technocrats and entrepreneurs
M3: To instill societal and ethical responsibilities in all professional  activities

 

HOD

Dr. Jeeva K A

M.Tech, Ph.D

Professor & HOD

jeeva@vidyaacademy.ac.in

Ext : 149

Previous Experience :-

Areas of Interest :-

PEOPLE

Dr. Jeeva K A

HOD

M.Tech, Ph.D

Professor & HOD

jeeva@vidyaacademy.ac.in

Ext : 149

Ms. Riya P D

Assistant Professor

M.Tech

riya849@vidyaacademy.ac.in

Ms. Anju K P

Assistant Professor

M.Tech

anju854@vidyaacademy.ac.in

Ms.Riya Roy

Assistant Professor

M.Tech

riya863@vidyaacademy.ac.in

Ms.Linsa V.U

Assistant Professor

M.Tech

linsa870@vidyaacademy.ac.in

Mr.Nisanth P

Assistant Professor

M.Tech

nisanth872@vidyaacademy.ac.in

Ms. Sreemol V C

Trade Instructor

Diploma

sreemol848@vidyaacademy.ac.in

Ms.Chithraja J

Trade Instructor

Diploma

chithraja873@vidyaacademy.ac.in

PEOs, POs & PSOs

PEOs

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.

PSOs

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.

 

ACTIVITIES

 

 

AY 2023-24

AY 2022-23

 

                                  

 

Address

Vidya Academy of Science & Technology

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

Phone: +91 4885 287751, 287752

Fax: +91 4885 288366

E-Mail: principal@vidyaacademy.ac.in

VICT | Vidya Kilimanoor | IT Division

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