CSE – Artificial Intelligence and Machine Learning
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About the Department
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Vision and Mission
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PEO, PO and PSO
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Head of the Department
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Faculty Information
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Laboratory Facility
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Department Library
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Value Added Courses
About the Department
The Paavai Engineering College offers four year under-graduate B.E.,AI&ML course with specialization in Artificial Intelligence and Machine Learning. The UG program’s objective is to create exceptionally well AI and ML engineers who will transform the world through creative AI and ML solutions. This course is designed to the students who are looking for bright career and challenging jobs in industrial world. AI and ML engineers are the highly paid professionals in the world and there is a tremendous demand of AI & ML experts in most of areas which needs transformation.
Along with courses that provide specialization in AI, students will also have options to explore some applied domains such as computer vision, natural language processing, robotics, data analytics, and computer security. This enables the B.E. in AI graduates to take up careers in R&D positions in Industry, academia, and research laboratories. The 4-year undergraduate program is divided into 8 semesters, with each year containing 2 semesters.
The department Is typically staffed with experienced faculty members who specialize in AI and ML. These professors and instructors have expertise in various subfields and can provide guidance and mentorship to students pursuing their academic and research interests.
To facilitate hands-on learning and experimentation, the department maintains well-equipped laboratories and infrastructure. These facilities often include high-performance computing systems, IoT development kits, sensors, and software tools required for AI and ML projects.
The Department of AI & ML actively collaborates with industry partners and organizations. This collaboration provides students with opportunities for internships, industry projects, and guest lectures from experts in the field. It also helps in aligning the curriculum with the latest industry trends and requirements.
Vision and Mission
Vision
To provide cutting-edge education in Computer Science and Engineering (Internet of Things), empowering students with strong technical expertise, innovation thinking, and ethical values to develop intelligent solutions that address global challenges and benefit society.
Mission
- Quality Education: To deliver a high-quality, outcome-based program in Computer Science and Engineering (IoT), ensuring students gain a strong theoretical foundation and practical skills.
- Technology Updation: To frequently update the curriculum and learning resources in line with advancements in Computer Science and Engineering with Internet of Things.
- Employability: To improve students’ employability by providing them with industry-relevant training, internships, certifications, and opportunities to build their skills through Industry-Institution relationship and make them industry ready.
- Research & Development: To promote research & innovation in IoT related domains and encouraging students and faculty members to involve in research and development initiatives.
PEO, PO and PSO
Programme Educational Objectives (peos) |
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| PEO1 | Global reputation | To create value added, disciplined, high profile Computer Science and Engineering professionals for successful careers in their related Industry that makes them globally reputed. |
| PEO2 | Fundamental Knowledge | To develop the students with a sound foundation in mathematical, scientific and engineering fundamentals necessary to synthesize the technical core concepts focusing on skill development and knowledge up gradation which will lead to technical innovations. |
| PEO3 | Continuous learning | To practice and demonstrate the ability to use the domain knowledge and expertise through periodic assignments performances and projects to continuously prove the functionality of computer science and engineering learning in social and environmental aspects and to make allowances for further improvements. |
Programme Outcomes (pos) Engineering Graduates will be able to: | |
| 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 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 modeling to complex engineering activities with an understanding of the limitations. |
| PO6 | 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. |
| 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 team work: 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. |
Programme Specific Outcomes (PSOs) | |
| PSO1 | Foundation of Computer System and Software development: Ability to understand the principles and working of computer systems for the development of software solutions. |
| PSO2 | Applications of Computing and Research Ability: Ability to use knowledge in various domains to identify research gaps and hence to provide solution with new ideas and innovations. |
Head of the Department
Dr.P.Srinivasan
Professor & HOD,
Department of Artificial Intelligence and Machine Learning
Dr. P. Srinivasan has been serving as a Professor and Head of the Department of Computer Science and Engineering (AI and ML) at Paavai Engineering College since June 2023. Before this, he held several notable academic and administrative roles, including Professor and Head of the Department of Artificial Intelligence and Data Science at Muthayammal Engineering College and Coordinator for NBA and NAAC from 2005 to 2023. He earned his Ph.D. in Computer Science and Engineering from Anna University, following his Master’s and Bachelor’s degrees in the same field.
Professionally, Dr.P. Srinivasan completed a research project funded by the Tamil Nadu State Council for Science and Technology (TNSCST) and received seminar grants from the DST (SERB) and ISTE for advancements in Artificial Intelligence technology.
Dr.P. Srinivasan’s research interests include Machine Learning, Deep Learning, Data Science, and Computer Vision. His current pioneering research focuses on Artificial Intelligence in agriculture and Deep Learning for crop health care. He actively shares his knowledge through seminars, workshops, and guest lectures at various esteemed forums. He has authored over 28 research articles in international journals, published 25 papers at international conferences, and guided four research scholars as a Doctoral Committee (DC) member, promoting academic excellence within the AI department.
Beyond academia, Dr.P.Srinivasan is a lifetime member of nine professional societies, has received two awards from prominent professional organizations, and holds several certifications. He has secured nine patents from his research. As of 2024, his work has garnered over 96 citations on Google Scholar, with an h-index of 3 and an i10-index of 2.
Faculty Information
| S.No | Name of the Faculty | Qualification | Designation | Depatment |
| 1 | Dr.SRINIVASAN.P | M.E., Ph.D., | PROFESSOR & HEAD | CSE(AI ML) |
| 2 | SUNDARAM.M | M.E., | ASSOCIATE PROFESSOR | CSE(AI ML) |
| 3 | POONKODI.R | M.E., | ASSOCIATE PROFESSOR | CSE(AI ML) |
| 4 | PREETHA.M | M.E., | ASSOCIATE PROFESSOR | CSE(AI ML) |
| 5 | SUGANYA.L | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 6 | RATHIPRIYA.A | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 7 | PORKODI.R | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 8 | VANGILI S | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 9 | MANGAIYARKARASI.S | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 10 | PRABA.R | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 11 | RANJANI.P | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
| 12 | YUVARAJA.P | M.E., | ASSISTANT PROFESSOR | CSE(AI ML) |
Laboratory Facility
| S.No | Name of The Equipment | Quantity | Configuration | |
| 1 | Computers (Make : WIPRO) | 60 | Model : WIPRO-Evolv-E7600 CPU : Core2 Duo 3.06GHz RAM : 2GB HDD : Sata320 Speed : 3.06 GHz Monitor : 19.5”TFT Keyborad, Optical Mouse | |
| 2 | Computers (Make :HP) | 60 | Model : HP-DC5800-E7500 CPU : Dual Core Duo 3.06GHz RAM : 2GB HDD : Sata250 Speed : 3.06 GHz Monitor : 19.5”TFT Keyborad, Optical Mouse | |
| 2 | Computers (Make :HP) | 60 | Model : HP-DC5800-E7500 CPU : Intel i7 11th Gen 3.06GHz RAM : 8GB SSD : 512 Speed : 3.06 GHz Monitor : HP 21”TFT Keyborad, Optical Mouse | |
| 3 | Printers | 3 | – | |
| 4 | UPS (Compact) | 1 | 10 KVA | |
| 5 | UPS (Compact) | 1 | 5 KVA | |
| 6 | Switch | 3 | Make : D-LINK Rack : 12 U Model : 1400 24(3) Patch Panel : 2 | |
| 7 | Air Conditioner | 4 | LG 2 TON | |
Department Library
| S.No | Particulars | Quantity |
| 1 | No. of Volumes | 6050 |
| 2 | No. of Titles | 1164 |
| 3 | No. of Journals | 24 |
| 4 | No. of e-Books | 450 |
| 5 | No. of System with Internet Facility & IEEE Access | 01 |
Value Added Courses
Academic Year 2022 - 2023
| S.No | Software Course |
| 1 | MACHINE LEARNING WITH PYTHON |
| 2 | DATA ANALYTICS WITH R |
| 3 | SAP |
| 4 | IOS APP DEVELOPMENT |
| 5 | AMAZON WEB SERVICES |
| 6 | ANDROID |