Sri Eshwar Engineering College

COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING)

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PROGRAMME SCOPE

Shape the future with intelligent machines. Fuse your CS foundation with AI & ML. Design, build, and deploy game-changing systems in CSE-AI & ML.

Dive deep into Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI and Reinforcement learning – the AI & ML algorithms that unlock the secrets hidden within data.

AI & ML are pushing the boundaries of intelligence. Young engineers with a data interest can join the mission to shape tomorrow’s intelligent systems.

LEARNING SCOPE

Students will understand how to gain insights through intellectual curiosity by learning diverse technologies, including the OOPS Concept, Data Structures, DBMS, Operating Systems, Networks, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI.

CAREER PROGRESSION

AI and ML revolution is sweeping across industries, igniting a surge of thrilling career prospects for students. Imagine leveraging your skills in healthcare, finance, astronomy, business, social media, and the internet of things—all while wielding the power of AI and ML! From data scientists deciphering hidden patterns to software developers building the future, these exciting roles will put you at the forefront of innovation.

VISION

To become a model hub for Computer Science and Engineering-Artificial Intelligence and Machine Learning education and research by acquiring, disseminating, and generating knowledge in order to meet societal demands.

MISSION

Evolve curriculum and delivery approaches to provide broad and wide exposure to the learner to gain adequate knowledge in their field of study.

Provide opportunities for faculties to enhance their domain knowledge and skills required for the programs offered.

Establish connections with local, national and global experts to share, utilize and exchange domain expertise.

Conduct Outreach activities for the society that involve the use of artificial intelligence and machine learning solutions to deal with societal issues.

Create and provide a conducive ecosystem and facilities for offering education related to artificial intelligence and machine learning.

PROGRAMME DETAILS

  • PEO1: Graduates will have successful careers in AI and ML-related fields, including positions such as data scientists, machine learning engineers, AI researchers, and consultants.
  • PEO2: Graduates will recognize the dynamic nature of AI and ML technologies and engage in continuous learning to stay abreast of the latest advancements, tools, and techniques in the field.
  • PEO3: Graduates will have the knowledge and skills to identify opportunities for applying AI and ML in various domains, potentially founding startups, or contributing to the growth and competitiveness of existing organizations.
  • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
  • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for public health and safety, whole-life cost, net zero carbon, culture, society, and environment as required.
  • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
  • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
  • PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment.
  • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
  • PO8: Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
  • PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.
  • PSO1:Apply the knowledge of mathematical concepts, programming fundamentals and algorithms for solving complex problems in AI and ML domains.
  • PSO2:Design, implement, and evaluate end-to-end AI solutions, including data acquisition, preprocessing, model development, deployment, and monitoring, adhering to best practices in software engineering and system design.

Corporate ADVISORY BOARD

Naming a few of our advisories working in top companies, who help us align our courses and curriculum to what the industry needs. Through ongoing knowledge sharing, guidance and expert advice, they play an important role in shaping our students to become industry-ready professionals.

Mr.Subrahmanian Kumaraswamy

Data Architect, NTT Data

Mr.Bagavath. P

Technical Lead, BNY Mellon Technology

Mr.A.Ravi Kasthuri

CTO, Presentation.AI

Mr.Karthick Shanmugasundaram

Senior Software Developer, GUSTO, USA

Ms.Aishwarya Sterling James

Senior Executive, Mad Street Den, Vue.ai

ENHANCED LEARNING

LABS

  • Programming Languages Laboratory
  • Full Stack Development Laboratory
  • Artificial Intelligence Laboratory
  • Machine Learning & Deep Learning Laboratory
  • Data Analytics Laboratory
  • Data Visualization & Exploration Laboratory
  • Computer Vision, Text and Video Analytics Laboratory

VALUE ADDED COURSES

  • Mastering LLM using Knime 
  • Mastering in OpenCV 
  • PowerBI Analytics
  • Quantum ML Computing using Amazon Brackt
  • GPT Development using Amazon Textract

INNOVATIVE TEACHING

  • Project based Learning using Github Copilot
  • Self Learning using OpenAI
  • Statistical Analysis using Desmos Calculator
  • Experential Learning through Python Frameworks
  • Model building using Cognii

Head of the department

Associate Professor and HOD

FACULTY MEMBERS

Associate Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

STUDENT ACHIEVEMENTS

RESEARCH

Sri Eshwar encourages faculty members to seek support and secure research funds from various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, and industry partners to develop research facilities and carry out research projects. The Institute also supports this initiative by sponsoring seed funds to departments for setting up research laboratories and promoting research.

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INDUSTRY COLLABORATION

Sri Eshwar encourages members of faculty to seek support and secure research funds from industry and various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, Industry etc to develop research facility and to carry out research projects. The Institute also supports by sponsoring seed fund to the departments to set up research laboratories and promote research.



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RECRUITERS

CSE (AI&ML) OFFICE

Dr.S.Sumathi
Associate Professor and HOD, CSE(AI&ML)
+914259200449
Email: [email protected]
Ms.S.Yuvambika
Dept. Office Secretary, CSE(AI&ML)
+914259200449
Email: [email protected]

Dr.V.Karunakaran

B.E., M.E., Ph.D

Areas of Specialization

Machine Learning, Deep Learning, Natural Language Processing and Generative AI

Dr. V. Karunakaran has 17+ years of teaching experience. He has published more than 30 research papers in International Journals and International Conferences and his research interests include Deep Learning, Optimization Techniques and Machine Learning. He has delivered over 10 talks and conducted hands-on workshops in the domain of Machine Learning, Deep Learning,Natural Language Processing, Hadoop and Spark. He is reviewer for reputed journals and has guided more than 20 projects in the domain of Image processing, Deep Learning, Natural Language Processing and Machine learning.

Mr.K.Kathiresan

B.E., M.Tech., (Ph.D)

Areas of Specialization

Data Analytics, Deep Learning, Computer Vision

Mr. Kathiresan K has 15+ years of teaching experience. His current research is based on Image Processing, Regression Testing, Deep Learning, Computer Vision and Data Analytics with 15 years of teaching and research experience in Computer Science, He love to learn and teach data analysis and prediction techniques of Data Science. He published more than 15 research papers in reputed journals and conferences with 3 patents published. He is also a CISCO Certified Academic Instructor in ITN and RSE level and acted as a resource persons to the various institutions for workshops and FDP.

Ms.P.Preethi

M.E.,(Ph.D)

Areas of Specialization

Machine Learning, Deep Learning

Ms. P. Preeth has an M.E. degree with over 11 years of teaching experience and is currently pursuing her research degree at Anna University. She has published 1 SCI Paper,5 Scopus Indexed Conference Paper and Published 3 Patent. She is Certified by the IUCEE Engineering Education Program and by AWS (Data Engineer). Guided around 10 projects in various Domains like Machine Learning, Network security, and Cloud computing. Trained in various workshops organized by IIT Bombay and IIT Kharagpur. She is also certified with a Band score of 8/9 in the IELTS examination 2022.

 

Ms.S.Sindhuja

B. E., M.E., (Ph.D)

Areas of Specialization

Machine Learning, Deep Learning

Ms.S.Sindhuja is currently pursuing her Ph.D degree in the domain of deep Learning. She has 10 years and 8 months of experience in teaching. She has published 2 books, 9 Journal Papers in various Scopus & International Journals and 1 patent. 

 

Ms.T.Kalaivani

M.E.,(Ph.D)

Areas of Specialization

Artificial Intelligence,Machine Learning,Image Processing

Ms.Kalaivani T has 10+ years of Teaching experience. Currently pursuing her research degree with Anna University. She has Published 1 Paper in IEEE and Published 1 Patent .She has imparted company based specialized technical skills and trained the students given company specific customized Technical Training to the students in Android,Java,Front-end design and conducted hands-on workshops in Android.Developed and tested 4 Android apps and new features added in 3 Android apps.

Ms.Charanya P

B.E., M.E., (Ph.D)

Areas of Specialization

Machine Learning , Networking,Artificial Intelligence

Ms.Charanya P has 5 years of Teaching Experience.Currently pursuing her research degree in Anna University. She has Published 1 Patent.

Admission Enquiry 2025
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