Artificial Intelligence & Data Science
About the Department
In the world of dramatic and accelerating change in the streams of technology, economy, culture, environment, and social dimensions, the role of an engineer must be expanded to include the possibilities of serving as disruptive innovators, business leaders, technology visionaries, policymakers, and custodians of the earth. Thus, it calls for a program that serves as a platform offering knowledge, skills, and exposure to a multidisciplinary array of fields and areas spanning STEM, arts, humanities, design, innovation, business, leadership, and entrepreneurship. Going from a teacher-centric approach to a learner-driven orientation, the very fabric of the program has been embedded with experiential learning, divergent thinking, problem-solving, creativity etc. to empower the learners to not only find stimulation for learning from discovering a higher purpose but also make them responsible for their learning objectives and knowledge outcomes.
B.Tech AI& DS – A 360 Degree Immersion into Future Engineering
Technical competency – Inter-disciplinary exposure – Innovation Practicums – Social Externships – Incubation Bootcamps – Prototyping Semester – Corporate Internships – International Exchange – Research Immersions – Industry Mentor connects – Diverse career pathways.These are just some of the learning experiences that make the B.Tech AI & DS unique.
Incubated in a working laboratory and built around the world-class CDIO Standard 3 integrated curriculum, this puts cutting-edge knowledge at the forefront of engineering education. B.Tech AI & DS is a precisely curated 4-year programme that brings together product, process, system thinking, eastern culture and interdisciplinary skill-sets, specifically tailored around data science and artificial intelligence. It is the outcome of several years of academic and practical research from the Kumaraguru College of Technology and Forge, India’s premier technology incubator. It draws from several proven curricular models that have been successfully implemented and from current learning systems that are practised in the best universities worldwide.
From the Programme Head
From the HOD’s Desk
Dr. P. Shenbagam,
Assistant Professor III & Head Incharge
Artificial Intelligence and Data Science is a skill-oriented engineering branches of KCT that enlightens the transformative power of Artificial Intelligence to solve real-world challenges. The well-equipped laboratory facilities and trained faculty members will lead to gain cross-disciplinary skills across fields such as Artificial Intelligence, statistics, machine learning and data science. Students are motivated to take part in hackathons through individual training and assistance. Solving of real-time problems are enhanced through Internships, value added courses, Growth labs and workshops.
Vision
Vision
- To embark as a school of innovation in the stream of data science for enabling global education, research and entrepreneurship.
Mission
Mission
- Hone students to excel in the traits of data science technology and professionalism
- Empower students to develop solutions for mutated technological problems of the society
- Inculcate industrial and entrepreneurial culture for their professional furtherance
Dr. P. Shenbagam
Assistant Professor III & Head Incharge
Ms. Shenbagam is a dynamic teaching professional who is good at exploring new dimensions of teaching-learning. Having completed her M.E(Multimedia Technology) in Guindy College of Engineering, Guindy, Anna University, she has 16 years of teaching experience and has taught specialized courses like Computer Graphics, Multimedia, Graphic Designing, etc., Being an NBA coordinator, she was involved in framing vision, mission, PEOs, documents and instrumental in the past 2 visits to the department. She is currently pursuing Ph.D. at Anna University and has published papers in Scopus journals and various conferences. She is constantly at the learning edge by attending several FDPs organized by renowned institutes and industries. She has organized several courses for the students to develop their professional skills and has been part of 2 consultancy projects.
Dr. V R. Raghuveer
Director, KSI
Dr. V.R. Raghuveer has received his bachelor’s degree in computer science & engineering, Bharadhidasan University and M.E. Degree in Computer Science & Engineering from Anna University, Chennai. He has received PhD in CSE from the VIT University, Vellore. He worked as an Associate Professor in VIT University for 11 years and as Dean R&D, HOD CSE at Geetanjali Institute of Technical Studies, Udaipur. He also headed Indore Institute of Science and Technology as a Principal. He has 16 years of teaching experience and one-year of industry experience. He is academic advisor to leading North Indian Universities and Western University Colleges to implement skill training through LMS. He has presented several papers in various International Conferences and has published more than 20 papers in the reputed journals and conferences. He is a recognized research supervisor in RTU, Kota, Mewar University and Career Point University, Kota. Currently, he is guiding Ph.D candidates in Artificial Intelligence domain for Healthcare and Agriculture. He has worked on sponsored projects for the Smart City development. He has been the consultant for the design and development of large-scale projects at VIT University, Vellore and Western University College, US for implementing their Learning Management System platform for skill training. He is a Design Thinking Practitioner for “Enhancing the quality of Engineering Education”.
Dr. D. Chandrakala
Professor
Dr. D. Chandrakala is a distinguished Professor in the Department of Artificial Intelligence and Data Science at Kumaraguru College of Technology. She earned her PhD in Machine Learning from Anna University in 2013. Shae has more than 30 years of experience in academic, industry and research. With a prolific academic career, Dr. Chandrakala has published numerous papers in both national and international journals and conferences. Her current research interests span a wide array of advanced topics, including Generative AI, Reinforcement Learning and Healthcare Analytics. In addition to her research and teaching, Dr. Chandrakala is a dedicated life member of the Indian Society for Technical Education, The Institution of Engineers (India) contributing significantly to the field of technical education in India.
Dr. V. Hari Baabu
Associate Professor
Dr. V. Hari Baabu is a researcher in Entrepreneurship and Machine learning, who never stops his pursuit for new ideas and learning. He completed his PhD in Computer Science Engineering. He has more than 12 years of experience in academic, industry and research. He earlier associated with Entrepreneurship Development Institute of India. Through his research projects with various Government departments and Ministries, he has recommended various policies to the respective governing bodies. His compilation of handbook stating key policies of startups in each states, has been provided in the Lal Bahadur Shastri National Academy of Administration, adds a feather to his cap. His positive mentorship and encouraging nature tends his students to work beyond the hurdles they might face in the real time challenging scenario.
Dr. S. Sangeetha
Associate Professor
Dr. S. Sangeetha completed her ME and PhD from PSG College of Technology. Her previous experience includes 15+ years of teaching and research at PSG Tech. She is a recognized supervisor under Anna university. She published papers in peer reviewed Q1 journals, Scopus indexed conferences and book chapters. She has a strong enthusiasm for consultancy projects and completed projects for Samsung Research, MaxBytes, and Illensys Technologies. She received Certificate of Excellence for consultancy project from Samsung Prism, Bangalore. Dr. S. Sangeetha is granted with a funded project from “Niral Thiruvizha” and she also received Best Mentor award from KSI. To her credit she published a Patent and completed numerous Certification Courses. Her research interest is on Responsible AI, Privacy enhancing technologies, Machine Learning and Deep Learning. She is Reviewer at SCI journals: The Journal of Supercomputing, Springer, and Turkish Journal of Electrical Engineering and Computer Sciences. She delivered lectures on the topics AI for Agriculture, Paper Out like a Pro, Hands on Deep Learning with Python, Deep Learning for NLP in International Conferences and Guest Lectures at various institutions.
Dr. D. Sudharson
Assistant Professor II
Dr. D. Sudharson gained his doctoral degree in Machine Learning from Anna university Chennai. He has authored 5 books in programming, published more than 20 research articles in international journals and one design Indian patent. Experimented various algorithms in different dataset for optimizations. An active coder in leading online portals like @Hackerrank, @Codechef and so on. Veteran in student skill assessment by hosting test in various coding platforms. Also been a part of corporate relations with educational sectors for fresher hiring and industry oriented training.
Ms. P. Antony Seba
Assistant Professor II
Ms. P. Antony Seba completed M.E in Computer Science and Engineering from Anna
University, Tiruchirappali and B. E from Manonmaniam Sundaranar University and pursuing
PhD in Indian Institute of Information Technology Kottayam. Interested in updating the
knowledge and working principles of recent programming paradigms in deep and have
conceptualized working skills in the structured as well as objected oriented programming
paradigms. Passion to transform technical education with strategic plans and accomplish the target in
any challenging, multi-cultural and diverse environment with ethics and adherence to the core
value of the system. Also passionate in publishing research articles on Data Science in reputed journals.
Ms. P R. Rupashini
Assistant Professor II
Ms. P. R. Rupashini is an exceptional teacher and mentor who prioritizes trust, innovation, and goal-oriented learning. With her passion for education and strong educational background, she creates a positive and effective learning environment by building strong relationships with her students. She employs innovative teaching methods to engage students and foster curiosity. She encourages her students to set and achieve goals, motivating them to participate in coding contests and hackathons, promoting collaboration and competition. Her own achievements in winning hackathons and serving as a mentor demonstrate her expertise and dedication. Pursuing a Doctoral degree further highlights her commitment to continuous learning and sharing the latest developments with her students. Her dedication and emphasis on trust, innovation, and goal-oriented learning make her an exceptional teacher and mentor.
Ms. R M. Tharsanee
Assistant Professor II
R.M. Tharsanee is an alumnus of Coimbatore Institute of Technology and has 9.5 years of experience in industry and teaching. Currently, she is pursuing her doctoral degree under Anna University, Chennai. She has published research articles in various international journals indexed in Scopus, Web of Science and Science Citation Index. She has authored book chapters on recent technologies like Artificial Intelligence, Blockchain, Robotics and Automation. Her research interests include Machine Learning, Deep Learning, Data Analytics and Cyber Security. She has delivered lectures to students and faculty from various institutions on R Programming, Python Programming, and Predictive Analytics. She has presented papers at more than 30 International and National Conferences. She has filed 6 patents and is a lifetime member of professional bodies like ISTE and IAENG. Her vision is to inspire free thinking and individualistic mindsets among students and teach them to be gamechangers in their chosen professions.
Mr. F. M. Mohammed Farooq Abdulla
Assistant Professor II
Mr. F. M. Mohammed Farooq Abdulla is a self-confident and enthusiastic person who helps students to improve high achievements in academics. He has moved from Industry to Academica. He has completed his M.Tech (Information Technology) from B.S.Abdur Rahman University, Chennai. He has worked as a Team Lead in domain of Mobile Application Development for more than 5 years and also has the teaching experience for more 3 years. He has also conducted many Workshops, Value Added Programs, STTP, FDP on Mobile Apps Development for various Universities and Institutions like VIT – Vellore, B.S.Abdur Rahman Crescent Institute of Science and Technology – Chennai, HKBK College -Bangalore.
Mr. A. Bhuvaneshwaran
Assistant Professor I
Mr. A. Bhuvaneshwaran pursing PhD(Information and Communication Engineering)in Anna University, Chennai. He has completed his M.E (Computer science and Engineering) from Thiagarajar College of Engineering, Madurai. He has completed his B.Tech (Computer science and Engineering) from Kalasalingam University, Srivilliputtur. His area of interest is Data Science, Data Structure and Network Security. He has teaching and research experience of more than 5 years. He has worked and Junior java developer in Infoview Technology Private Limited, Chennai. He published 15 papers on SCI journal, Scopus Indexed Journal and other International Journal. He has attended conference on premier institution such as Indian Institute of Technology, Kanpur. He serving as reviewer in various reputed journals and served as resource person for many events like workshop, FDP, and Technical Training.
Ms. G. Preethi
Assistant Professor I
Have completed my bachelor’s in computer science and engineering from Arunai Engineering, Tiruvannamalai in 2011 and Masters in Multimedia Technology from College of Engineering, Guindy, Anna University in 2013. Have one year teaching experience (July 2014-May 2015) as Adhoc Teaching faculty in the department of Computer Science and Engineering at National Institute of Technology (NIT), Puducherry and four years teaching experience (October 2019-November 2023) as Lecturer in the department of Information Technology at PSG Polytechnic College, Coimbatore. Have guided student projects in the areas of Data Analytics and IoT based smart systems and Mobile. Currently pursuing research on “Information Security in Smart Grids”. Passionate about teaching and development of Learning Models to achieve automation and security contributing to sustainable Development. Research Achievements and Activities: Have published research papers on “Privacy Preserving Hu’s Moments in Encrypted Domain”, ” Anomaly Detection Methods in Smart Grids” and “building voice assistant using Artificial Intelligence” with h-index 2. Completed 5 NPTEL courses with 2 Elite certifications in “Data Analytics with Python” and “Patent Drafting for Beginners” and 2 Elite+Silver certifications in “Foundations of Cognitive Robotics” and “Python for Data Science” courses.
Ms. E. Shriaarthy
Assistant Professor I
Completed B.E in Information Technology and M.Tech in Computer and Communication Engineering from Karunya University, Coimbatore with University Ranks. Acted as Teaching Research Assistant during M. Tech tenure and have contributed to placement training as well. Have 4 years of teaching experience and 2 years of industry experience. Achieved best employee award from K12 Innovations Pvt. Ltd. for launching CMS web application and also for research in data analysis. Won best performer award from KGiSL for training students and faculty on test-case driven incremental coding approach using cloud coder. Organized various technical and non-technical events and have conducted online seminars & webinars in various technologies. Interested in exploring latest trends in machine learning, deep learning and training students to create AI based solutions for the Healthcare Industry.
AI&DS – R2018 (2021, 2022, 2023 Admitted Batches)
AI&DS – R2018 (Batch 2020 onwards)
The B.Tech DS and AI programme envisage becoming a pioneering model in bringing STEM, Arts and Humanities and Commerce together in exciting, relevant and carefully curated modules. The curriculum has been built with a modular approach to the fields of Artificial intelligence and Data Science on the strength of Math, Statistics, Computer Science and Basic Science. The framework was constructed with extensive analysis of necessary skills and the knowledge domains required for a highly-skilled graduate, from various reputed universities all around the globe. It gives an in-depth understanding of the core characteristics of the field of study and enhances the learning experience. The curriculum is designed based on the CDIO (Conceiving, Designing, Implementing and Operating real-world systems and products) Integrated Curriculum. In other words, the curriculum is designed with mutually supporting disciplinary modules, and with an explicit plan to integrate personal, interpersonal, and product, process, and system building skills. 
- UG – B. Tech Artificial Intelligence and Data Science – 4 Years (8 Semesters)
Programme Educational Objectives (PEOs)
The graduates of this program shall have:
- A successful professional career in industry, government, and academia with capabilities to build innovative solutions using technology as a tool to solve real-world problems.
- Research capabilities in advanced technologies and shall contribute to a new body of knowledge.
- A learning mindset to continuously improve their knowledge, through on the job, formal and informal learning opportunities
- An ethical attitude and shall exhibit effective skills in communication, management, teamwork and leadership.
- Engineering, problem-solving and critical thinking skills to create social, economical and sustainable impact.
Programme Specific Outcomes (PSOs)
After completing their graduation, students of AI & DS will be able to:
- Apply the principles of artificial intelligence and data science that require problem-solving, inference, perception, knowledge representation, and learning.
- Demonstrate the ability to create innovative solutions from idea to product, applying scientific methods and tools
- Exhibit strong professional skills to function effectively in multi-disciplinary and heterogeneous teams with a growth mindset.
Programme Objectives(POs)
Graduates of AI & DS programme will have the following abilities:
- 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: Identity, 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 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: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- PO6- The engineer and society: Apply to reason 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: 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.
- 2022 Batch students won first place in Healthware 3.0 contest organized by SSN college of Engineering on 17th & 18th May 2023
- 2022 Batch students are shortlisted among 450+ teams and presented their innovations on “Digital Doctor” in the Grand Finale of National Talent Fest Shrujana’23 organized by L&T Edutech on 30th May 2023
The programme marks out four principal pathways for students through their four years of learning. This is critical for engineering aspirants, for it tailors comprehensive immersions into the chosen discipline.
- Innovator Real-world problem solver who can lead the future of these technologies. The innovator specialised programmes will take students through detailed exposure in building solutions in real-time and take them through the trajectory of concept-to-market over the period.
- Researcher Deep, a relevant researcher on these emerging technologies. The researcher will have ample exposure to deep dive into fundamental and applied research, test capabilities and build research solutions in real-time.
- Practitioner Deeply committed domain expert. This aspect of learning prepares the engineer to become a leader in DS and AI, driving excellence in problem-solving and analytical capabilities.
- Entrepreneur A person who can build an idea and take it through to the final product. The engineer-entrepreneur will have ample scope to ideate, build, research and take a product/service to market during the 4-year programme.
- ProtoSem is a 20-week full semester immersion fellowship offered as a comprehensive skills and competency development program that embeds an innovation-centered approach to engineering education right into the core of the engineering curriculum.
- This first-of-its-kind program offers expert training, tech & innovation mentoring, adaptive learning, tinkering, rapid prototyping and exploration apart from tools & creative technologies covering IoT sensors & networks, 3D printing, desktop fabrication, industrial automation, robotics, low-volume electronics manufacturing & assembly, artificial intelligence & machine learning, big data analytics, cloud computing etc.
- ProtoSem is offered by KCT in partnership with Forge and has enabled 300+ students with the necessary skills and competencies to solve real-world problems and develop tech-enabled solutions for the needs of industries, corporations, startups, and society.
- Guided by the mantra “Innovation for skills & competencies, leads to the innovation for employability leading to innovation for entrepreneurship”, the program imparts sound practical as well as conceptual knowledge through co-creation opportunities with experts, mentors, and practitioners, which has proven to enhance the employability of the students across sectors and sets the students towards an accelerated career path.
- ProtoSem is offered in three different variants – Industrial Digital Technologies, Future Mobility and Autonomous systems and provides great leverage & access to the enormous talent pool for companies, building a strong Industry-Academia Partnership in the areas of emerging technologies.
- To know more or contribute – www.protosem.tech
- No.of students benefited from AIDS department are as follows:
| Duration | Protosem Batch | No.of students |
|---|---|---|
| Feb-June | Protosem 1.12 | 64 |