Sri Eshwar Engineering College

ARTIFICIAL INTELLIGENCE & DATA SCIENCE

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PROGRAMME SCOPE

The biggest ever technological advancement this century has witnessed is making machines to think and act like human, engaging the science of Artificial Intelligence, powered by Data. AI driven by Data will be dominant in every aspect of human life with the scope for its application becoming limitless. Autonomous Vehicles, Virtual Assistants (Alexa, Siri), Domestic Assistants (maid robots), are some of the existing examples, while many are being developed every single day. The field of AI & DS is emerging as the most promising one for young engineers who have a flair for data and visualization.

LEARNING SCOPE

Students studying this programme will be able to design, develop and apply AI and DS based solutions to real world business challenges. The students will know to develop out insights with intellectual curiosity, by learning various technologies including Deep learning, Computer Vision, Data Science, Predictive Analytics, AR/VR, Natural Language Processing and Robotics, Software Technologies, OOPs and Database Management Systems.

CAREER PROGRESSION

With rapidly increasing focus on AI & DS by the industry, the students have abundant scope for employment in various industries including Healthcare, Travel & Transportation, Fast Moving Consumer Goods (FMCG) as Data Scientist, Data Analyst, Machine Learning Architect, Software Developers.

VISION

To build a conducive academic and research environment in the stream of Artificial Intelligence and Data Science for enabling global education, research and entrepreneurship.

MISSION

Regularly assess and enhance the curriculum, integrating the latest advancements in artificial intelligence and data science to ensure relevance and global competitiveness.

Provide state-of-the-art technological infrastructure & cutting-edge technologies conducive world-class research, innovation and quality learning experience for both faculty and students.

Empower faculty of artificial intelligence and data science through continuous professional development, research support and global collaborations to deliver quality education aligned with international standards.

Establish student-centric learning environment that empowers future innovators in the dynamic field of artificial intelligence through rigorous academic programs, cutting-edge research opportunities, and industry-aligned projects.

Conduct outreach activities for the society that involve the use of artificial intelligence, data science and machine learning concepts to deal with societal issues.

PROGRAMME DETAILS

  • PEO1: To enable graduates to pursue higher education and research or have a successful career in industries associated with Artificial Intelligence and Data Science, or as entrepreneurs.
  • PEO2: To demonstrate excellence in cutting-edge technologies of Artificial Intelligence and Data Science and solve problems in society.
  • PEO3: To exhibit professional ethics, involvement in team work in their profession and contributing to the advancement of society.
  • PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3: Design / Development of solutions: Design / Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4: 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.
  • PO5: Modern Tool Usage:Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO6: The Engineer Society:The Engineer 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.
  • PO7: Environment and Sustainability:Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and Teamwork:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: Communication:Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11: Project Management and Finance:Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12: Life Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • PSO1:Apply the principles of artificial intelligence that require problem solving, inference, perception, knowledge representation, and learning.
  • PSO2:Demonstrate the ability to build innovative solutions from the data models, addressing the needs of Industry and society.

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
  • Data Science Laboratory
  • Data Visualization & Exploration Laboratory
  • Machine Learning Laboratory
  • Computer Vision Laboratory
  • Natural Language Programming Laboratory

VALUE ADDED COURSES

  • Mastering in OpenCV 
  • Application Development using Knime
  • Mastering Tensorflow and Keras
  • Apache Spark and Data Bricks
  • Application Development using Golang
  • Prompt Engineering 

INNOVATIVE TEACHING

  • Experential Learning through Python Frameworks
  • Team Assisted Individualization using Google Colab
  • Dashboard creation using Visualization tools
  • Carnegi Learning for case based analysis
  • Personalized learning using Squirrel AI

Head of the department

Professor & Head of the Department

FACULTY MEMBERS

Associate Professor

Associate Professor

Dr.M.Lakshmi

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Ms.P.Chitra

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Professor

Assistant Profesor

Ms.R.Divyaprabha

Assistant Profesor

Mr.S.Sridharan

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 industry and various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, and others to develop research facilities and carry out research projects. The institute also supports this effort by providing seed funding to departments to establish research laboratories and promote 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

AI&DS OFFICE

Dr.S.Vimal
Professor & HoD, AIDS
+914259200452
Email: [email protected]

Ms.P.Brindha
Dept. Office Secretary, AIDS
+914259200452
Email: [email protected]

Dr.G.Sathish Kumar

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

Areas of Specialization

Data Mining, Machine Learning, Soft Computing, Optimization Techniques and Cloud Computing

Dr. G. Sathish Kumar has completed his Ph.D. under the faculty of Information and Communication Engineering from Anna University, Chennai, in 2022 and received Supervisor recognition from Anna University, Chennai, in 2023. Prior to his doctoral studies, he obtained his Master’s degree and Bachelor’s degree in Computer Science and Engineering from Anna University, Chennai. He has 9 years of teaching experience. He also worked as a Systems Engineer at TATA Consultancy Services (TCS), Chennai, for 1.2 years. Dr. G. Sathish Kumar’s research interests encompass Data Mining, Machine Learning, Soft Computing, Optimization Techniques and Cloud Computing. He has published 7 papers in reputed SCI journals (Elsevier and Springer) and 12 papers in Scopus indexed journals. He has published 2 book chapters. In addition, he published 4 patents. He is a life-time member in technical societies like ISTE and IETE.

Dr.M. Mohammed Mustafa

B.Tech., M.E., MBA., Ph.D

Areas of Specialization

Wireless Sensor Networks, Security, Data Science

Dr M.Mohammed Mustafa, comes with fifteen years of experience and has vast managerial and technical skills. He  possesses excellent knowledge of academic teaching/learning process and is an effective team player and communicator with excellent relationship building competency. He has a dual post-graduate degree in Master of Business Administration and Masters in Engineering. He completed his Ph.d from Anna University. His research area includes Wireless Sensor Networks & Data Science and he also has an interest towards Big Data Analytics, Mobile Communication, Enterprise Resource Planning, Information Management, Quality Management and Human Resources Management. He is a strong proponent of some excellent teaching methodologies like Role Play, Case Study Analysis, conducting Quiz and Activity Based Learning Approach. He has presented various papers in International conferences and journals in the field of Networks, Information Management and Data Analysis. He is currently serving as reviewer for various indexed journals and conferences. He has been appointed as Indian Examiner to evaluate Ph.D thesis by Visvesvaraya Technological University, Karnataka.

Dr.M.Thenmozhi

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

Areas of Specialization

Wireless adhoc Network, Security

Dr. M. Thenmozhihas has received her Ph.D. degree in Computer Science and Engineering in 2019. She has received her master’s degree with distinction in Network Engineering from Regional Center, Anna University, Coimbatore in 2013 and Bachelor’s degree with a distinction in Information Technology from School of Engineering, Avinashilingam University, Coimbatore 2004. She has 15.5 years of experience in teaching. Her research interests are in Wireless Ad Hoc Network, Machine Learning and Network Security. She has around 9 Publications with 1 Book Chapters, 2 Patent publications, 2 International Journal Publications including Scopus, 7 International Conference Publications and 9 National Conference publications. She is a life-time member in a professional body like IETE.

Dr.M.P.Geetha

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

Areas of Specialization

Text Analysis, Machine Learning, Deep Learning

Dr. M. P. Geetha has completed her Ph.D. in Information and Communication Engineering from Anna University, Chennai, in 2023, and received Supervisor recognition from Anna University in 2024. Prior to her doctoral studies, she obtained her Master’s degree with Distinction in Computer Science and Engineering and her Bachelor’s degree with Distinction in Electrical and Electronics Engineering. With over 13 years of teaching experience and 1.6 years of industry exposure, Dr. Geetha’s research interests include Text Analysis, Machine Learning and Deep Learning. She has more than 10 International and National publications, including those indexed in Scopus and SCI, published with esteemed publishers such as Elsevier and IOS Press. Furthermore, she holds a patent. Dr. Geetha actively participates in Faculty Development Programs, Conferences, Workshops, and Guest Lectures across India. She has submitted proposals to various funding agencies like TNSCST, DRDO, ICMR

Dr.M.Nivaashini

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

Areas of Specialization

Cyber Security, Artificial Intelligence, Machine Learning, Deep Learning, Data Science & Analytics

Dr. M. Nivaashini holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, in 2022. Her bachelor’s degree with a top grade in computer science and engineering from Dr. Mahalingam College of Engineering & Technology, Pollachi, and her master’s degree with a gold medal in Biometrics & Cyber Security from PSG College of Technology, Coimbatore, both affiliated with Anna University, were awarded in 2017 and 2015 Teaching and research have taken 2.5 and 4.5 years, respectively. AI, IoT, Big Data Analytics, and Cyber Security are her research interests. She has 28 publications, including 3 book chapters, 16 international journals, 6 international conferences, and 3 national conferences. Springer, Wiley, Inderscience, Taylor & Francis, and Springer are among her publishers. Editing Wiley and Elsevier books was her job. Sri Eshwar College of Engineering’s SEED initiative awarded her Rs. 55,000/-. She earned Rs. 18,00,000 from AICTE for 2018–2021 FDPs and Guest Lectures. She has attended prestigious Indian institutions’ Faculty Development Programmes, Conferences, Workshops, and Guest Lectures. She has proposed to TNSCST, ATAL, ICMR, etc. In 2018, Zan Compute Pvt Ltd, Coimbatore paid her Rs. 12,00,000 for consultation work. She has completed 12 NPTEL courses with Elite + Gold grades in Introduction to R Software, Big Data Computing, Ethical Hacking, Cyber Security and Privacy, Introduction to Industry 4.0, and Industrial Internet of Things. She is the top mentor for NPTEL’s Cyber Security and Privacy course and a discipline star in computer science and engineering.She has received 1 patent grant in the year of 2024.

Dr.P.Dinesh Kumar

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

Areas of Specialization

Computer Networking and Security, Wireless Sensor Networks

Dr.P.Dinesh Kumar has 12+ years’ experience in teaching and completed his Ph.D from Anna University, Chennai, specializing in Wireless Sensor Networks and Artificial Intelligence. He is having a total of 16 publications from reputed journals and conferences. His areas of interest include computer networking and Security, Artificial Intelligence and Wireless Sensor Networks. He has attended many technical workshops and FDPs and is a lifetime member of ISTE.

 

Dr.T.Kanimozhi

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

Areas of Specialization

Machine learning, Deep learning,

Dr T Kanimozhi has completed her Ph.D in the domain of deep learning on January 2024. Her areas of research are Machine learning and Deep learning. She has published 5 patents, and completed 3 NPTEL courses. She has more than 10 publications in SCI and scopus indexed journals. She has attended many International Conferences, and various national and international FDPs. She is a lifetime member of IET and ISTE

 

Ms.S.Gowri

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

Areas of Specialization

Machine Learning, Data Science

Ms.S.Gowri received her B.E degree from Kumaraguru College of Technology and M.E degree from Government College of Technology, She is currently pursuing her Ph.D. from Anna University ChennaiCoimbatore. Her area of research interests includes Machine Learning and Data Science. She has 5 Years of Experience. She has published 2 patents. She has completed Wipro Certified Faculty (WCF) Programme and is recognized as mentor for Project Based Learning in .NET Full Stack.

Ms.E.Anitha

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

Areas of Specialization

Data science, Machine Learning

Ms.E.Anitha is currently working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Sri Eshwar College of Engineering, Coimbatore. She has 10+ ten years of experience in teaching. She is doing her Ph.D in the domain of deep Learning. She has more than 10 scopus publications indexed in reputed journals. She has submitted funding proposal to DBT and ICSSR. She has completed programming in Java NPTEL course with Elite+Gold certification. She has attended many International Conferences, and various national and international FDPs. She is a lifetime member of ISTE

 

Ms.S.Rajalakshmi

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

Areas of Specialization

Machine Learning, Data Science and Analytics,Composite Materials

Ms.S.Rajalakshmi has 5+ years of experience in Teaching.She is Currently pursuing her Ph.D .She received her B.E degree from Maharaja Engineering college and M.E degree from Anna university,Coimbatore.Her area of research interests include Machine Learning and Composite materials.She has published 2 patents and 10 journal papers in various scopus and CARE journals.she has completed many online course certifications in NPTEL ,Udemy and Great learning.she has attended FDP like ATAL,Anna university etc.

 

Ms.K.Parvathy

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

Areas of Specialization

Internet of Things, Cyber Security,Network Security, Cryptography and Data Science

Ms.Parvathy.K has 5+ years of experience in Teaching from various Institutions.She received her B.E. CSE and M.E. CSE from Sri Ramakrishna Engineering College Coimbatore. She is Currently pursuing her Ph.D from Anna University Chennai.She has 5 years of teaching experience in various institutions. She has published 1 book chapter, 25 Journal Papers in various Scopus & Web of Science Journals and other journals and 1 patent. Her area of research interests include Internet of Things,Wireless Body Area Networks,Cryptography and Network Security and Machine Learning ,Data Science and Cyber Security. She has completed many online course certifications in Udemy and NPTEL.She has Attended Many Faculty Development Programs like National ,International ,ATAL FDPs and Anna University etc.She has Organised many Workshops, Guest Lectures and Faculty Development Programs.She is a Life Member of IEANG.

Ms.M.Sowmiya

B.E., M.E.

Areas of Specialization

Internet of Things, Cryptography & Network Security, Cloud Computing, Software Egineering, Database Management Systems

Mrs.M.Sowmiya received her B.E. degree from Avinashilingam University and M.E. degree from Anna University. She has 8 years of teaching experience. She has published a book, 3 book chapters, 1 SCI Journal Paper, 16 Journal Papers in various Scopus & Web of Science Journals and 3 patents. Her area of research interests include Artificial Intelligence, Machine Learning, IoT, Big Data Analytics and Cloud Computing. Sowmiya have actively participated in various FDP, Conferences, Workshop for enhancing her learning skills. She has undergone many industry oriented training, thus helping the student community to enrich their career. She has successfully completed “TalentNext Program” conducted by Wipro and have been recognized as Wipro Certified Java Training Faculty of the institution. She has also participated in the training program on “AI & ML” conducted by TalentNext Team, Wipro. She has attended a training program on “Robotic Process Automation” conducted by the industry Automation Anywhere and successfully completed the basic courses in RPA. Sowmiya is a Life Member of ISTE. She has secured Elite Ranking in Cloud Computing NPTEL course. She has also completed a 8 week course on “Building Web Applications in PHP” in Coursera. Sowmiya has completed Google Cloud Certification course (Level-2) in Google Platform

 

Ms.S.Sowmiya

M.Tech

Areas of Specialization

Data Science,Cloud Computing,Database Management System

Ms S.Sowmiya is working as an Assistant Professor in the Department of Artificial Intelligence and Data Science at Sri Eshwar College of Engineering,Coimbatore,Tamilnadu.She Received her M.tech Software Engineering in VIT University,Vellore.

 

Ms.A.Soundarya

B.E., M.E.,

Areas of Specialization

Artificial Intelligence,Deep learning,Machine Learning,Data Science

Ms.Soundarya A received her BE degree from Dr.Mahalingam College of Engineering and Technology,Pollachi and her ME degree with gold medal from PSG College of Technology,Coimbatore,both affiliated with Anna University.Worked as Assistant System Engineer at TCS,Pune

 

Ms.V.Sangavi

B.Tech., MTech

Areas of Specialization

Data Science,Machine Learning,Full Stack Data Analysis

Ms.Sangavi V received her Btech degree from Dr.Mahalingam College of Engineering and Technology,Pollachi and her Mtech degree with gold medal from PSG College of Technology,Coimbatore,both affiliated with Anna University.She Worked as Analyst at LatentView Analytics,Chennai.

Ms.L.R.Sujithra

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

Areas of Specialization

Grid computing, Machine learning, Bioinformatics

Ms.Sujithra has 11 years of Teaching Experience. Published more than 15 papers in both National and International Journals and conferences. Received funds from agencies like CSI, TNSCST to conduct seminars and project fund.

Ms.R.Geetha Rajakumari

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

Areas of Specialization

Data Science, Machine Learning, Artificial Intelligence, Deep Learning(NLP), Data Analysis

MS.R.Geetha Rajakumari is pursuing her Ph.D in the domain of deep learning and applied July 2023. Her areas of research are NLP in Deep learning. She has published 2 patents and a Book chapter. She has more than 5 publications in both National and International Journals and conferences.