ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
- The Department
- Vision, Mission, PEO & PSO
- Faculty
- Curriculum
- Achievements
- Activities
- Facilities
- Gallery
- MOU’s
- Newsletters & Magazines
- Professional Society
- Research
- Value Added Course
- YouTube Lectures
- Innovative Teaching
- placement
THE DEPARTMENT
DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
Established: 2021 | UG Intake: 120 | Research Centre
The department of Artificial Intelligence & Data Science offers B.Tech. Degree program in AI & DS. The department facilitates a vibrant array of activities designed to enrich the academic journey and foster Hands-on learning experience. Collaborative learning environments and peer-to-peer knowledge sharing form the foundation of pedagogy, enhancing critical thinking and problem-solving abilities. It has Ph.D. qualified and industry certified faculty specialized in Programming, Data Structures, Cloud Computing, Machine Learning, and Cyber security, ensuring a dynamic and industry-relevant learning experience.
Highlights:
- Students also undergo various certification courses such as INFOSYS SPRINGBOARD, AR & VR, MATLAB, WIPRO TALENT NEXT, and more.
- To gain industrial knowledge, students visit industries such as CDAC (Centre for Development of Advanced Computing) and STPI (Software Technology Parks of India).
- Workshops and bootcamps on Cloud Computing Technologies (CDAC), KNIME Technology, TABLEAU, and POWER BI.
- AI research labs with advanced computing facilities (NVIDIA GPUs, high-performance computing servers).
- AI and Data Science clubs for hands-on learning.
- Hackathons, AI competitions, and innovation hubs.
- Learning through industrial experience such as MSME internships, L&T, and various other companies.
- AI labs, supercomputing facilities, and smart classrooms.
Academic Laboratories:
- Programming and Problem-Solving Lab
- Artificial Intelligence Lab
- Machine Learning Lab
- Deep Learning Lab
- Data Science and Big Data Analytics Lab
- Cloud Computing Lab
- Data Visualization and Business Intelligence Lab
- Internet of Things (IoT) and AI Integration Lab
- Research and Innovation Lab
Value Added Courses:
The department offers the value added courses in various domains like MONGO DB, Virtual Labs, MATLAB, ORACLE Academy and Kotlin Programming.
DEPARTMENT VISION & MISSION
VISION
To be a Centre of Excellence in producing excellent standards of professionals through quality education with moral values.
MISSION
M1: To provide a conducive learning atmosphere with state-of-the-art infrastructural facilities to enable our students to develop into globally competent professionals with high ethical standards.
M2: Enabling students to gain expertise in critical professional skills through data science education for solving real-world complex problems.
M3: To equip students with essential skills for improving employability, entrepreneurship, continuing education, and research.
PROGRAMME EDUCATIONAL OBJECTIVES (PEO's)
PEO1: Graduates will have fundamental knowledge of basic sciences, mathematics, artificial intelligence, data science, and statistics to design and develop AI models to solve multidisciplinary problems.
PEO2: Graduates will have advanced technical skills to pursue higher studies or pioneering research in the field of AI and Data Science to solve social and environment-related issues for the welfare of sustainable ecosystems.
PEO3: Graduates will adhere to ethical values, think logically, pursue lifelong learning, and collaborate effectively in multidisciplinary teams.
PEO4: Graduates will be capable of becoming entrepreneurs and exhibiting innovative thoughts and creative ideas for effective contribution toward economic development.
PROGRAMME SPECIFIC OUTCOMES (PSO)
Graduates should be:
PSO 1: Capable of developing skills to make decisions and solve social and environmental problems with ethics, and perform multidisciplinary projects in business and governance domains using advanced technologies and tools.
PSO 2: Able to apply analytical technologies to derive actionable foresight, insight, and hindsight from data for solving business and engineering problems.
PSO 3: Capable of creating, selecting, and applying theoretical knowledge of AI and Data Science along with practical industrial tools and techniques to forecast future events and address critical technological needs of society.
KNOWLEDGE AND ATTITUDE PROFILE (WK)
WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline, along with awareness of relevant social sciences.
WK2: Conceptually based mathematics, numerical analysis, data analysis, statistics, and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline, including knowledge at the forefront of the discipline.
WK5: Knowledge related to efficient resource use, environmental impacts, whole-life cost, reuse of resources, net-zero carbon concepts, and similar principles that support engineering design and operations in practice areas.
WK6: Knowledge of engineering practice (technology) within the practice areas of the engineering discipline.
WK7: Knowledge of the role of engineering in society and awareness of issues in engineering practice, including the professional responsibility of an engineer toward public safety and sustainable development.
WK8: Engagement with selected knowledge in current research literature of the discipline and awareness of the importance of critical thinking and creative approaches in evaluating emerging issues.
WK9: Knowledge of ethics, inclusive behavior, and conduct; understanding professional ethics, responsibilities, and norms of engineering practice; recognition of the need for diversity in ethnicity, gender, age, and physical ability; and fostering mutual understanding, respect, and inclusive attitudes.
PROGRAM OUTCOMES (PO's)
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization (as specified in WK1 to WK4) to develop solutions for complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems to reach substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems, components, or processes to meet identified needs with consideration for public health and safety, whole-life cost, net-zero carbon, culture, society, and environment. (WK5)
PO4: Conduct Investigations of Complex Problems: Use research-based knowledge, including experimental design, modelling, analysis, and data interpretation, to conduct investigations and provide valid conclusions. (WK8)
PO5: Engineering Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering/IT tools—including prediction and modelling—while understanding their limitations, to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects when solving complex engineering problems, considering sustainability, economy, health, safety, legal frameworks, culture, and environment. (WK1, WK5, and WK7)
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national and international laws. (WK9)
PO8: Individual and Collaborative Team Work: Function effectively as an individual and as a member or leader in diverse, multidisciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, including writing reports, preparing design documentation, and delivering presentations that consider cultural, language, and learning differences.
PO10: Project Management and Finance: Apply engineering management principles and economic decision-making to one’s own work, as a team member or leader, and to manage projects in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and demonstrate the ability for: (i) independent and life-long learning, (ii) adaptability to new and emerging technologies, and (iii) critical thinking in the broad context of technological change. (WK8)
FACULTY
FACULTY DATA
Dr.D.Hemanand M.E., Ph.D
Professor & Head
Mr.G.Muthu Kumar M.E., (Ph.D)
Assistant Professor
Mrs.M.Kumari Kala M.Tech., (Ph.D)
Assistant Professor
Mr.S.Nirmal Sam M.Tech., (Ph.D)
Assistant Professor
Mrs.B.Ardly Melba Reena M.Tech., (Ph.D)
Assistant Professor
Mr.V.Shanmugam M.Tech
Assistant Professor
Mrs.J.Savija M.E
Assistant Professor
Mrs.P.Sevanthi M.E
Assistant Professor
Mr.P.Naveen Kumar M.Tech., (Ph.D)
Assistant Professor
Dr.K.Subha M.E., Ph.D
Assistant Professor
Mrs.M.Nathiya M.Tech
Assistant Professor
Mrs.B.Chitra Lekha M.E
Assistant Professor
Mrs.R.M.Saritha M.E., (Ph.D)
Assistant Professor
Mrs.S.Alagu Thangam M.E., (Ph.D)
Assistant Professor
Mrs.S.Saranya M.E
Assistant Professor
Mrs.S.Sulochana M.E
Assistant Professor
Mrs.R.Vaishnavi M.E
Assistant Professor
Mrs.V.Gowri M.E
Assistant Professor
CURRICULUM
ACHIEVEMENTS
ACTIVITIES
CENTER OF EXCELLENCE
DISTINGUISHED ALUMN
FACILITIES
AI&DS LABORATORY
The AI & Data Science Laboratory is a cutting-edge facility equipped with 124 high-performance systems, fostering innovation and research in artificial intelligence. Designed to support advanced learning, experimentation, and real-time analytics, it empowers students and researchers to tackle complex data-driven challenges.
Our department classrooms are equipped with high-definition projectors and interactive panels to enhance visual learning and engagement. These smart classrooms foster dynamic teaching environments, enabling real-time collaboration and immersive educational experiences. Designed for modern pedagogy, they empower students to explore, interact, and innovate beyond traditional boundaries.
GALLERY
HOD
Department of Artificial Intelligence & Data Science at S.A. Engineering College — a hub of innovation, research, and transformative learning. Under the leadership of distinguished academician Dr. D. Hemanand, our department is committed to nurturing future-ready professionals through cutting-edge curriculum, hands-on training, and global collaborations. With over 16 years of academic excellence, our faculty brings a wealth of experience in AI, machine learning, cloud computing, and mobile networks. We take pride in our vibrant research culture, boasting international patents, SCI/Scopus-indexed publications, and active participation in national and international conferences.
LABORATORY
The AI & Data Science Laboratory is a cutting-edge facility equipped with 124 high-performance systems, fostering innovation and research in artificial intelligence. Designed to support advanced learning, experimentation, and real-time analytics, it empowers students and researchers to tackle complex data-driven challenges.
CLASS ROOM
Industrial Visit-CDAC
Our students visited CDAC and learned about advanced computing technologies, including AI, block chain, IoT, and cybersecurity. They also explored CDAC’s role as the National Resource Centre for Free and Open Source Software (NRCFOSS).
Guest lecture - AI Integrated Business Intelligence
Our Department students learned about advanced analytics, the automation of routine tasks, and how to offer deeper insights into data. This knowledge enhances decision-making, increases efficiency, and scales data processing capabilities.
Value Added Course Web Development
We have conducted Five-day course on Web development and learned creating and maintaining websites, including both frontend (user interface) and backend (server-side) components. Frontend development uses HTML, CSS, and JavaScript, while backend development handles server logic, databases, and APIs.
Guest Lecture- REGRESSION METHODS IN DATA ANALYTICS
Guest lecture about Regression methods are fundamental tools in data analytics, providing insights into relationships between variables and enabling predictions for future outcomes. The choice of regression method depends on the nature of the data and the specific problem at hand.
Student Achievements
Our second-year students, Mr. Aditya Kalidas, Mr. Hari Krishnan R., and Mr. Azeez V., attended the Hacker Showcase held at Dr. MGR University on September 3, 2024, and won second prize.
Onam Celebration
Our department's students celebrated the Onam festival as a vibrant expression of Kerala’s culture and heritage. It highlights themes of generosity, community, and gratitude for the bountiful harvest, making it a joyous occasion for all.
Guest Lecture-Data Analytics with Julius AI
MOU
NEWSLETTERS & MAGAZINES
NEWSLETTERS
PROFESSIONAL SOCIETY
RESEARCH
Research Supervisors
| S.No | Name of the Supervisor | Designation | No of Scholars | Photo |
|---|---|---|---|---|
| 1 | Dr.D. Hemanand M.E., PhD | Professor & Head Dept of AI & DS | 8 Internal Scholars - 6 External Scholars - 2 |
|
Publications
Academic year (2023-2024)
| SNo | Paper Title | Author Details | Journal / Conference | Date of publication / presentation | DOI and Annexure details |
|---|---|---|---|---|---|
| 1 | A Feature Learning-Based Model for Analyzing Students' Performance in Supportive Learning. | K Dinakaran | Intelligent Automation & Soft Computing, Tech Science Press Volume 36, Issue 3 |
2023/06/01 | Click Here |
| 2 | Malicious activities prediction over online social networking using ensemble model | K Dinakaran | Intelligent Automation & Soft Computing, Tech Science Press Volume 36, Issue 1 |
2023/01/01 | Click Here |
| 3 | An Effective Personality Recognition Model Design using Generative Artificial Intelligence based Learning Principles | Sevanthi P | ICCDS 2024 - International Conference on Computing and Data Science, IEEE Xplore | 26 June 2024 | Click Here |
| 4 | Predictive Analytics for Proactive Maintenance in Industrial IoT Applications | Sevanthi P | 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2023) - Proceedings, IEEE Xplore | 09 February 2024 | Click Here |
| 5 | A Comparison of Different Learning Algorithms for Wildlife Detection and Classification in Animal Conservation Applications | M. Mangaleswaran | 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), IEEE Xplore | 27 March 2023 | Click Here |
| 6 | IoT-Enabled Advanced Foam Firefighting E-Vehicle | M. Mangaleswaran | International Conference on MAchine inTelligence for Research & Innovations, SpringerLink | 13 January 2024 | Click Here |
| 7 | Comprehensive design and analysis of a 300L steel fuel tank for heavy off-road vehicles: numerical and experimental insights | Nizmi Shaik | Frontiers in Mechanical Engineering, Frontiers, Volume 10 - 2024 | 12 February 2024 | Click Here |
| 8 | A Robust Data Security Model Development to Maintain the Integrity of Information Using Artificial Intelligence and Cyber Laws | G. Muthu Kumar | 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), IEEE Xplore | 12 July 2024 | Click Here |
| 9 | Aquila Optimization Algorithm based Feature Selection with Optimal Machine Learning for Security Internet of Things Environment | D Keerthana | 2nd IEEE International Conference on Knowledge Engineering and Communication Systems (ICKECS), IEEE Xplore | 07 August 2024 | Click Here |
Academic year (2024-2025)
| S.No | Name of the Faculty | Title of the Paper | Name of the Journal/Conference (Vol, Issue, Page, Impact Factor) |
Date of Publication / Presentation | DOI and Annexure Details |
|---|---|---|---|---|---|
| 1 | Dr. K Dinakaran | Enhanced Generalization Performance in Deep Learning for Monitoring Driver Distraction: A Systematic Review | Journal of Advanced Research in Applied Sciences and Engineering Technology, Vol 48, No 1, June 2025, Cite Score: 1.3 | 09-07-2024 | Click Here |
| 2 | Dr. K Dinakaran | Enhancing efficiency in agriculture: densely connected convolutional neural network for smart farming | Springer Nature Link | 06-06-2024 | Click Here |
| 3 | Sevanthi P | Artificial Intelligence-Driven Beamforming: Integrating Intelligent Antenna Arrays to Improve the Performance of 5G Networks | IEEE Xplore | 23-12-2024 | Click Here |
| 4 | Dr R Anitha | Unleashing WSN Potential: Bowerbird Optimized Energy-Conscious Multipath Clustering with Causal Dilated Cosine for Enhanced Load Balancing | IEEE Xplore / 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) | 27-03-2025 | Click Here |
| 5 | Mr P Naveen Kumar | AI-Driven Cybersecurity: Enhancing Threat Detection and Mitigation with Deep Learning | International Journal of Computational and Experimental Science and Engineering (IJCESEN), Vol 11, No. 2 (2025) | Mar-2025 | Click Here |
Patents
Academic year (2023-2024)
| S.No | Title of the Patent | Name(s) of the Faculty / Student | Date of Application Filed | Status of Application (Published) |
|---|---|---|---|---|
| 1 | Machine Learning Regression Method To Predict The Price Action Of A Share In The Indian Share Market | Dr. K Dinakaran | 11/01/2024 | 09/02/2024 |
| 2 | Analyzing Suspicious Cyber-Attacks On Server Message Block (SMB) Traffic Connection Using ML Technique | Mr. M. Mangaleswaran | 26/10/2023 | 03/11/2023 |
| 3 | Object Detection Based Smart Stick For Hearing And Visually Impaired Persons |
1. Mrs. P Sevanthi 2. Mrs. Shaik Nizmi 3. Mrs. D Keerthana |
10/01/2024 | 09/02/2024 |
Academic year (2024-2025)
| S.No | Title of the Patent | Name(s) of the Faculty / Student | Date of Application Filed | Status of Application (Published) |
|---|---|---|---|---|
| 1 | Prognosis Of Hyper Triglycerides Using Data Science And Machine Learning |
1. G. Muthukumar 2. R. Anitha 3. S. Alagu Thangam |
05/11/2024 | 15/11/2024 |
| 2 | Advanced Breast Cancer Detection System Using Enhanced Mammographic Analysis |
1. V. Dhivya Bhavani 2. Ardly Melba Reena B 3. Nathiya M |
05/11/2024 | 08/11/2024 |
| 3 | Hemocare360: Integrated Intracranial Hemorrhage Detection and Patient Management System |
1. S. Dharanika 2. V. G. Dharsana Dharani 3. D. Keerthana |
05/11/2024 | 15/11/2024 |
| 4 | Radial Kernelized Regressive Merkle-Damgård Cryptographic Hash Blockchain for Secure Data Transmission with IoT Sensor Node |
1. P. Naveenkumar 2. M. Mangaleswaran |
05/11/2024 | 08/11/2024 |
| 5 | Medical Image Detection and Classification of Polyp using U-NET Architecture |
1. Shaik Nizmi 2. B. Chitralekha 3. P. Sevanthi |
29/09/2024 | 04/10/2024 |
| 6 | Detection and Conversion of Voice to Text Using a Display for Hearing Impaired Person | 1. B. Chitralekha | 05/11/2024 | 15/11/2024 |
| 7 | Cryptocurrency Price Prediction Using Data Science | 1. G. Muthukumar | 05/11/2024 | 08/11/2024 |
Research Grant
| S.No. | Nature of Program (Seminar / Workshop / Conference / CEP / FDP / QIP) | Name of the Program | Details of the Guest(s) (Name, Designation, Organization, Contact Details) |
Details of the Participants | Date & Duration | Venue | Sponsors with Amount |
|---|---|---|---|---|---|---|---|
| - Nil - | |||||||
Event Grant
| S.No. | Nature of Program (Seminar / Workshop / Conference / CEP / FDP / QIP) | Name of the Program | Details of the Guest(s) (Name, Designation, Organization, Contact Details) |
Details of the Participants | Date & Duration | Venue | Sponsors with Amount |
|---|---|---|---|---|---|---|---|
| - Nil - | |||||||
Book Chapters
| S.No | Name of the Faculty / Student | Books / Monograph Published | Date of Publication | Title of the Book | Name of the Publisher with ISBN Number |
|---|---|---|---|---|---|
| NIL | |||||
TESTIMONIALS
VALUE ADDED COURSE
YOUTUBE LECTURES
GATE ONLINE VIDEOS
Subject: Machine Learning Year/Sem : 2025-2026 / ODD
| S. No | Date | Name of the Staff | Topics Covered | YouTube Link |
|---|---|---|---|---|
| 1 | 10/07/2025 | MR. G. MUTHUKUMAR | UNSUPERVISED LEARNING | Watch Video |
| 2 | 14/07/2025 | MS. B. ARDLY MELBA REENA | SUPERVISED LEARNING : SUPPORT VECTOR MACHINE | Watch Video |
| 3 | 03/09/2025 | MS. M. KUMARI KALA | DECISION TREES | Watch Video |
Subject: Artificial Intelligence Year/Sem : 2024-2025/EVEN
| S. No | Date | Name of the Staff | Topics Covered | YouTube Link |
|---|---|---|---|---|
| 1 | 23/01/2025 | MR. M. SUNDARARAMAN | SEARCH : LOGIC, PROPOSITIONAL, PREDICATE | Watch Video |
| 2 | 31/01/2025 | MR. G. MUTHUKUMAR | REASONING UNDER UNCERTAINTY | Watch Video |
| 3 | 07/02/2025 | MS. B. ARDLY MELBA REENA | INFORMED SEARCH - GREEDY SEARCH, A* SEARCH | Watch Video |
| 4 | 25/02/2025 | MS. P. SEVANTHI | ADVERSARIAL SEARCH - MINIMAX ALGORITHM | Watch Video |
| 5 | 11/03/2025 | MR. P. NAVEEN KUMAR | EXACT INFERENCE THROUGH VARIABLE ELIMINATION | Watch Video |
Subject: Programming, Data Structures and Algorithms Year/Sem :2024-2025/ODD
| S. NO | Date | Name of the Staff | Topics Covered | YouTube Link |
|---|---|---|---|---|
| 1 | 11/07/2024 | MS. ARDLY MELBA REENA | SEARCH : BINARY AND LINEAR SEARCH | Watch Video |
| 2 | 15/07/2024 | MS. B. CHITRALEKHA | TREES : BINARY AND BINARY SEARCH TREE | Watch Video |
| 3 | 18/07/2024 | MS. SHAIK NIZMI | SORTING : BUBBLE AND INSERTION | Watch Video |
| 4 | 24/07/2024 | MS. P. SEVANTHI | HASHING | Watch Video |
| 5 | 31/07/2024 | MR. M. MANGALESWARAN | SORTING : DIVIDE AND CONQUER, MERGE SORT | Watch Video |
| 6 | 09/08/2024 | DR. R. ANITHA | NON LINEAR DATA STRUCTURES AND GRAPH TRAVERSALS | Watch Video |
| 7 | 13/08/2024 | MS. D. KEERTHANA | SORTING : SELECTION SORT | Watch Video |
| 8 | 19/08/2024 | MR. P. NAVEEN KUMAR | STACK, QUEUE AND LIST | Watch Video |
| 9 | 20/08/2024 | MS. M. NATHIYA | TREE : AVL TREE | Watch Video |
| 10 | 19/09/2024 | MS. S. ALAGU THANGAM | GRAPH : A* ALGORITHM | Watch Video |
| 11 | 27/09/2024 | MR. G. MUTHU KUMAR | SHORTEST PATH – ALGORITHM | Watch Video |
| 12 | 09/10/2024 | MS. V. DHIVYA BHAVANI | DIJKSTRA'S ALGORITHM | Watch Video |
| 13 | 08/11/2024 | MS. V. G. DHARSANA DHARANI | KRUSKAL ALGORITHM | Watch Video |
| 14 | 15/11/2024 | MS. S. DHARANIKA | PRIM’S ALGORITHM | Watch Video |
Subject: Artificial Intelligence Year/Sem :2023-2024/EVEN
| S. NO | Date | Name of the Staff | Topics Covered | YouTube Link |
|---|---|---|---|---|
| 1 | 16/04/2024 | MR. G. MUTHU KUMAR | SEARCH – INFORMED, UNINFORMED | Watch Video |
INNOVATIVE TEACHING METHODS
PLACEMENT
PLACEMENT
| S.No | Name | Department | Company Name | Package | ON/OFF Campus |
|---|---|---|---|---|---|
| 1 | Mohammed Afeef Abdulla | AI&DS | CTS | 4.0 LPA | ON |
| 2 | Anas Muhammed Sait | AI&DS | HEXAWARE TECHNOLOGIES | 4.0 LPA | ON |
| 3 | M. Chetan Annamalai | AI&DS | JUST DIAL | 3.5 LPA | ON |
| 4 | C. Loganathan | AI&DS | JUST DIAL | 3.5 LPA | ON |
| 5 | T. Deepak | AI&DS | SURYA INDUCTION ENGINEERING | 3.5 LPA | ON |
| 6 | R. Prem Kumar | AI&DS | SURYA INDUCTION ENGINEERING | 3.5 LPA | ON |
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