Facilities

AI Core Research Lab

   The aim of this AI Core Research lab is to raise awareness about AI and its practical applications. And to support multidisciplinary research that addresses the real-world challenges and advancement of AI technologies.  AI-based projects were given to various departments and students to strengthen AI in the multidisciplinary field. Around 94 projects were done using AI techniques, of those 22 are multidisciplinary projects. AI related courses were introduced for Bioscience, Home Science and Business Administration students to enhance their knowledge of AI and how to use it in different field to solve problems. The uniqueness of the centre is to facilitate the students and researchers by bridging them to the mentors of the required domain. The centre also expands its boundary by collaborating with foreign universities like University of Wyoming, USA, Hassan II University, Morocco, Athabasca University, Canada and Kyungpook University, South Korea.

AAI Startup programme

About the programme

AAI Lab is a research platform  for exploring the potential of students with Internet of Things for multidisciplinary research with more end-user interactions. It gives the power to the students to be at the core of the research and innovation process. It gives them the power to change the world and their future. AAI lab is equipped with  micro controllers, RFID tags, different types of sensors. In the lab we have a  3D printer to develop multi disciplinary products. We have AVR software to engaged in the design and development of advanced human-machine interfaces for students. We will cultivate the spirt of technology based agriculture among the students  with the help of farm bot deployed in our center. By using this lab, students could develop IoT proof of concepts, learn embedded programming and create their own prototypes. 

      IoT Lab transforms  ideas of the student into customized solutions for the problems of the society. Also we will encourage students to participate in many competitions.

Thrust areas

1.Farm Bot 

Farm automation, often associated with smart farming. It is a robot to farm the different crops in particular area.  The robot itself moves around using tracks on the sides of the box, and it works in three dimensions. So it can go left to right, forward and backwards, up and down. FarmBot sows seeds, waters plants and gets rid of weeds by using different tools for each job, depending on the task at hand. It monitors the plant 24*7. In our centre we will deploy the farmbot in order to cultivate the spirit of agriculture among the students. We will use drones to fertilize the plants. With the help of captured pictures from the drone, can implement Image Processing  applications for further research work.

2.Augmented Reality

Augmented reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. Primary goals of AR is to highlight specific features of the physical world, increase understanding of those features, and derive smart and accessible insight that can be applied to real-world application.

3.University Automation

A university automation system will monitor and  control  attributes such as light, climate, entertainment systems and appliances. It may also include centre's security  system such as access control and alarm systems with the help of IoT.

4.Renewable energy - Solar energy

A renewable energy source means energy that is sustainable. Similar to sun, Solar Power is main source of renewable source. Solar power is energy from the sun that is converted into thermal or electrical energy.  Solar technologies can harness this energy for a variety of uses, including generating electricity for our center. We will deploy a Solar cell which can drive upto 1000 Kilowatts in our university. The energy driven from the solar cells can be used instead of electricity. This will predominantly save electricity consumption.                                                

AI Cloud Centre

AI Cloud Centre revolutionizes the Institution by facilitating with AI as a service. It also facilitates the students with higher end experience in the process of learning AI Cloud by steering and involving them in various best practices and established state of the art in the development and innovation of machine learning and computational algorithms. This facility acted as a hub for learners and innovators to involve in cloud-based AI projects and also supported and organized the activities in collaborations between AI cloud research groups from different fields in the University, promoting the interdisciplinarity which is the key research vision of the Institute. The Centre provided Infrastructure as a Service, Storage as a Service, Software as a Service, Data as a Service, Artificial Intelligence and Machine Learning Frameworks and Cognitive Computing Interfaces (APIs).

Facilities

         i. Hardware

                     1.GPU-I (Supermicro GPU Workstation Tesla A100)

                     2.GPU-II (SuperMicro/ Boston Model  GPU Tesla V100)

                     3.Server-I (Dell Power Edge R 640)

 

         ii. Software

                 1.Schrodinger

                   2.Sigma Plot

                   3.PRISMA

                   4.Python

                   5.GSuite for Education

                   6.CUDA

                   7.Annaconda3

                   8.Cmake3

                   9.Lanquill AI based Language Learning Lab

                  10. Android Studio

                  11. R studio server

                  12.Gromacs

                  13.Orange (Data mining)

                  14.MATLAB

                  15.Desmond

                   16.VScode

                   17.Weka

                   18.Amira

                   19.Mathematica

                  20.Bluehost integrated with wordpress

AI Library

Artificial Intelligence Library provides a diverse sort of AI concepts books involve machine learning, IoT, cyber intelligence, deep learning, data science, computer vision, robotics to nurture and accelerate students, research scholars and faculties to a adaptable to the smart, innovative technologies along with AI that create AI products resulting in the economic and social benefit.

CMLI - Learning Management system

Click here - CMLI Learning Management System (wordpress) -Research Methodology , Digital Intelligence

Click here - CMLI Learning Management System (Moodle) - Artificial Intelligence

Thrust Areas

Vision AI

• Detection of Cervical Cancer from MobileOTD images
• Improving Grading of Smart Colposcopy Images

Adaptive Learning 1.0

• AI based model curriculum for Nursery School
• AI based model curriculum for Primary School

Technology Enabled Learning

• Mulsemedia based Learning
• Game based Learning
• Hypermedia Learning
• Immersive Learning
• Personalized Learning

Farm Intelligence

Augmented Reality & Virtual Reality

Internet of Things

MoU's

Institutional MoU's

• University of HASSAN II, Casablanca, Morocco (Visit)
• Kongu Arts and Science College, Erode (Visit)
• Athabasca University , Athabasca , Alberta, Canada (Visit)
• University of Wyoming , Laramie , Wyoming , United States (Visit)

Industrial MoU's

• Cloudreign Technologies, Chennai (Visit)
• Visaithalam Solutions,India(Visit)
• Enthu Technology Solutions,India(Visit)
• INSTA3D Technologies,Coimbatore (Visit)
• Scopik Edutech Private Limited (Visit)

Services

GPU Based Computational Drug Discovery

Software tools provided for Computational Drug Discovery and Molecular Docking Analysis 

               1.Schrodinger    2.Gromacs             

                                                                                                                                                                      

Computational Drug Discovery and Molecular Docking Analysis 

         1.      Molecular Docking of selected Drug target and Ligand                             

                    §    Identification of potential Drug Target

                    §    Active sight prediction / Inhibitor Binding sight prediction 

                    §    Selection of Ligands / Inhibitors                                                             

                    §    2D and 3D Interaction Plots, Binding Energy 

         2.   Post Docking Analysis

                   §    MMG-GBSA

                   §    Molecular Dynamic Simulation using Desmond / GROMACS

         3.   Protein Protein Docking

         4.   Interpretation of results

         5.   Dataset curation / validation etc

Those who want to make use of this facility fill this google form Click here 

GPU Based Computational Drug Discovery Charges

 Consultancy & Service Charges – GPU based Schrodinger Suite Modules(Click here to view in a PDF)

S.No.	Description	For Normal Data in Rs.(up to 200 NS)
1.	Molecular Docking - Ligand preparation, Protein preparation
Server Processing,GPU Utilization & Memory usage	Memory Usage
	For up to 1 MB Rs.500 More than 1MB 5 per MB For up to 1GB 1000 More than 1GB 1000 per GB
	GPU Utilization time For up  to 24 hours Rs.100 More than 24 hours Rs.5 per hour
2. ADME Profiling	200 (up to 50 Compounds)
3.                      Molecular and High Throughput Virtual Screening
Server Processing,GPU Utilization & Memory usage	Memory Usage For up to 1 MB Rs.500 More than 1MB 5 per MB For up to 1GB 1000 More than 1GB 1000 per GB GPU Utilization time For up  to 24 hours Rs.100 More than 24 hours Rs.5 per hour
4. Active Site Prediction	Rs. 200 per protein
5.                                        Protein Structure Prediction
Server Processing,GPU Utilization & Memory usage	Memory Usage For up to 1 MB Rs.500 More than 1MB 5 per MB For up to 1GB 1000 More than 1GB 1000 per GB GPU Utilization time For up  to 24 hours Rs.100 More than 24 hours Rs.5 per hour
6.                                                             QSAR
If strutural analogs to be prepared	Rs.5000
If they bring structural analog (100 Nos)	Rs.1000
7. Molecular Modelling and Simulation
1. Minimum Charges (up to 24 hrs Computer time)	Rs.2500
2. Every additional hour of computer time	Rs 50 per hour
8. Service Charges	Rs. 25 per hour

Those who want to make use of this facility fill this google form, Click here 

GPU for High Performance based Computational Tasks

Centre for Machine Learning and Intelligence is providing GPU support for High Performance based Computational Tasks.

GPU Specification

GPU Model : NVIDIA Tesla A100-PCIE-40GB -1 Nos

GPU Model:  NVIDIA Tesla V100-PCIE-32GB - 2 Nos

Deep Learning - Training Medium Scale Models

Scientific Computing - Molecular Dynamics using GROMACS

AI/ML Research - Efficient Training/ Inference using TensorFlow, PyTorch.

Those who want to make use of this facility fill this google form, Click here

AI and IoT Based Modules, Interfaces , Mobile Applications, Portal etc

Centre for Machine Learning and Intelligence is providing 'AI as a Service' to all the Researchers of our Institution. The kind of service to be provided will be 

1.Artificial Intelligence and Machine Learning Frameworks

§  Google Cloud Platform

§  Google AutoML

§  Google Vision API

2.Cognitive Computing Interfaces (APIs)

§  Google Cloud Platform APIs

§  Natural Language Processing

§  Development and offering of AI & ML interfaces 

            Those who want to make use of this facility, fill this Google form click here

AI Cloud Services

Centre for Machine Learning and Intelligence is providing 'AI Cloud Services' to all the Researchers of our Institution. The kind of service to be provided will be 

• Infrastructure as a Service
  • Offering CPU
  • Memory
  • Software resources through virtualization

• Storage as a Service

  • Unlimited Data storage
  • Storage for Learning materials
  • Storage for Tutorials and training materials
• Software as a Service
  • Software virtualization
  • Accessing through VMware / Oracle VMBox
• Data as a Service
  • Data pooling
  • Construction of data repository
  • Donation of datasets

AI and IoT Based Modules, Interfaces , Mobile Applications, Portal etc charges

Consultancy & Service Charges - AI and IoT based Modules, Interfaces, Mobile applications, portals etc.

S.No	Description	Amount in Rs.
		Inside Institution	Outside Institution
1.	AI / IoT based Modules	Rs.500 / Module	Rs.1000 / Module
2.	AI / IoT based Interfaces	Rs.500 / Interface	Rs.1000 / Interface
3.	Mobile Application	Rs.500 /Module	Rs.1000 / Module
4.	AI and IoT based digital portal	Rs.500 / Module	Rs.1000 / Module

 

 

Peoples

Coordinators

Dr.P.Subashini

Coordinator

Centre for Machine Learning and Intelligence

Professor, Department of Computer Science

               Mail id : subashini_cs@avinuty.ac.in

https://avinuty.ac.in/user/csc15018

               https://in.linkedin.com/in/p-subashini-14a72119

               https://www.researchgate.net/profile/Parthasarathy-Subashini

 

 

Dr.M.Krishnaveni

Co-coordinator

Centre for Machine Learning and Intelligence

Assistant Professor (SG) , Department of Computer Science

Mail id : Krishnaveni_cs@avinuty.ac.in

https://avinuty.ac.in/user/csc22013

https://in.linkedin.com/in/krishnaveni-marimuthu-51274219b

https://www.researchgate.net/scientific-contributions/M-Krishnaveni-15234651

 

Teaching Faculty

Dr.Jennyfer Susan M.B

Assistant Professor

Mail id: jennyfer_cmli@avinuty.ac.in

Profile: https://sites.google.com/avinuty.ac.in/jennyfer-susan-m-b/home

 

Ms.S.P.Priyadharshini

Teaching Assistant

Mail id: priyadharshini_cs@avinuty.ac.in

 

Ms.Savithasri R

Teaching Assistant

Mail id: savithasri_arvr@avinuty.ac.in

Consultant

Ms.Vasundra .R.S

Faculty cum-coordinator

Scopik Edutech Pvt Ltd

Mail id: vasundrasivakumar.scopik@gmail.com , vasundra_cmli@avinuty.ac.in

https://www.linkedin.com/in/vasundra-sivakumar-a2a354283?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app

 

Ms.Abirami .V

UI / UX Designer

Scopik Edutech Pvt Ltd

Mail id:abiramivadivel.scopik@gmail.com , abirami_cmli@avinuty.ac.in

linkedin.com/in/abirami-vadivel-bb93b3247/

 

Ms.K.Haripriya

Faculty

Scopik Edutech Pvt Ltd

Mail id: haripriya_cmli@avinuty.ac.in

Research Scholars

Ms.R.Shanmugavalli

Research Scholar (Thesis Submited)

Department of Computer Science

Centre for Machine Learning and Intelligence

Research Work Title: Energy Aware Route Discovery Mechanism using Various Optimization Algorithms in Wireless Sensor Network

Mail id : 17phcsf004@avinuty.ac.in

 

Ms.Aiswarya S

Research Scholar 

Department of Computer Science

Centre for Machine Learning and Intelligence

Research Work Title: Identification of  Sickle Cell Disease Severity levels in Peripheral Blood Smear Images using Image Processing and Deep Learning Techniques

Mail id : 21phchf007@avinuty.ac.in

https://www.linkedin.com/in/aiswarya-senthilvel-b81720305/

https://www.researchgate.net/profile/Aiswarya-s-7

 

Mrs.Bhuvaneswari S

Research scholar

Department of Computer Science

Centre for Machine Learning and Intelligence

Research Work Title: Deep Learning for Grading Non-Proliferative Diabetic Retinopathy (NPDR)  Based on Multi-level Lesion Detection.

Mail id : bhuvaneswari_cs@avinuty.ac.in

www.linkedin.com/in/bhuvaneswari-s2405 

https://www.researchgate.net/profile/Bhuvaneswari-S-3  

 

Ms.Jayashree Ganeshkumar

Research scholar

Department of Computer Science

Centre for Machine Learning and Intelligence

Research Work Title: Adaptive Learning

Mail id :jayashreegk30@gmail.com

www.linkedin.com/in/jgkumar?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app 

https://www.researchgate.net/profile/Jayashree-Ganeshkumar

 

Ms.Prakalya Shri K

Research scholar

Department of Computer Science

Centre for Machine Learning and Intelligence

 

Ms.Sherin K Thomas

Research scholar

Department of Computer Science

Centre for Machine Learning and Intelligence

 

Technical Assistants

Ms Sandiya C

Technical Assistant

Centre for Machine Learning and Intelligence

Mail id : sandiya_cmli@avinuty.ac.in

 

Ms.E.Rathipriya

Technical Assistant

Centre for Machine Learning and Intelligence

Mail id : rathipriya_cmli@avinuty.ac.in

 

CMLI Leave form Link https://forms.gle/r6zr1SGXE9dqdFPz5

I. UG Programme

• B.Sc (Augmented Reality & Virtual Reality) B.Sc. AR VRScheme  

II. PG Programme

• M.Sc (Artificial Intelligence) 2024-2025 scheme , 2025-2026 scheme  

III. Certificate Course

• Certificate course on Augmented Reality & Virtual Reality Click here for Registration

IV.Generic Elective Courses

• Artificial Intelligence in IoT     Details
• Cyber Intelligence     Details
• Fundamentals of Artificial Intelligence and Internet of Things  Details
• Digital Intelligence     Details
• Fundamentals of Multimedia (1 Semester)  (offered by B.Sc. AR VR)
• Introduction to Augmented Reality  (3 Semester)  (offered by B.Sc. AR VR)
• Introduction to Metaverse (4 Semester)  (offered by B.Sc. AR VR)

V. Skill Based Elective Courses      

• Artificial Intelligence for Home Science Details
• Artificial Intelligence for Business  Details
• Fundamentals of 3D Printing Technology & Applications Details
• Fundamental of 3D Food Printing Technology & Applications  Details

VI. Multidisciplinary Courses

• Machine Learning for Biochemistry, Biotechnology     Details       
• Machine Learning for Chemistry     Details      
• Gsuite for Front Office     Details        
• Mobile Application Development     Details  

VII. Professional Certificate Course

• Prompt Engineering  Details
• Augmented Reality  Details
• Virtual Reality  Details
• Game Designing  Details
• Artificial Intelligence for Workspace  Details
• Android Programming in Tamil  Details

VIII. Interdisciplinary Course

• Machine Learning using Excel  Details
• Python for Mathematics Details
• Python for Chemistry Details

Publications

Patents - 4

Patent Granted - 2

1. Kidbot 1.0 -An adaptive learning-based robot using Tamil language is proposed that interactively disseminate machine learning concepts to Kids,Patent Number : 503234 , 25 Jan 2024.

2. 2.Cervical Cancer Self-Test Kit –IoT based device that allows users to independently operate and conduct self-screening tests                 Application No:202241021066,May 2022. 

Patent Published - 2

1. Mosquito Detection Device -AI-IoT based mosquito trap is proposed that detect mosquitoes species which are transmitting vector-     borne diseases, Application No:202241020392,May 2022.

2. AI based Binocular Wearable Potential Acuity Tester  Application No:202441036039, 17 May 2024.

Books - 9

1. ஆண்ட்ராய்டு எனும் நான் பகுதி-I எளிய கூறுகள் (Dec 2024) Authors Dr.M.Krishnaveni, Dr.P.Subashini, Ms. B. Preethi மொழிபெயர்ப்பு ஆசிரியர்கள்: முனைவர் மு.கவிதா, திருமதி வெ. நர்மதா.

2. ஆண்ட்ராய்டு எனும் நான் பகுதி - II மேம்பட்ட கருத்துருக்கள் (Dec 2024) Authors Dr.M.Krishnaveni, Dr.P.Subahini, Ms. B. Preethi மொழிபெயர்ப்பு ஆசிரியர்கள்: முனைவர் பொ. ராணி,முனைவர் மு.கவிதா, திருமதி வெ. நர்மதா.

3. Python for Chemistry - with simple exercises Authors Prof.P.Subashini, Prof.P.Lalitha, Dr.R.Janani, Ms.M.B.Jennyfer Susan,               Ms.M.Mohana - "Click here"

4. Explore Python for Mathematics  Authors Prof.P.Subashini, Dr.N.Balamani, Dr.R.Janani - "Click here"

5. Machine Learning using Google Colab - for Chemistry & Biochemistry Applications Authors Prof.P.Subashini, Dr.T.T.Dhivya Prabha, Ms.M.B.Jennyfer Susan - "Click here"

6. Prototype Experiments for Beginners - Embedded Systems Authors Dr.M.Krishnaveni, Dr.P.Subashini, Ms.V.Narmadha  "Click here" 
7. Nature Inspired Computing(NIC) : Research & its Applications  Authors Dr.P.Subashini, Dr.T.T.Dhivya Prabha, Dr.M.Krishnaveni - "Click here"

8. I am your Android Volume I - Simple Concept  Authors Dr.M.Krishnaveni, Dr.P.Subashini, Ms.B.Preethi- "Click here"

9. I am your Android  Volume II- Advanced ConceptAuthors Dr.M.Krishnaveni, Dr.P.Subashini, Ms.B.Preethi- "Click here"

Book Chapters - 5

1. Murugan, M., da Silveira, A.C., Subashini, P., Ghinea, G., Santos, C.A.S. (2024). Technology-Enhanced Mulsemedia Learning (TEML) Through Design for Learners with Dyslexia for Enhancing the Quality of Experience (QoE). In: Huang, R., Liu, D., Adarkwah, M.A., Wang, H., Shehata, B. (eds) Envisioning the Future of Education Through Design. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-0076-9_10  (Scopus Index)

2. Krishnaveni, M., Subashini, P., Dhivyaprabha, T.T., Gayathre, B., Manimegalai, K. (2023). Artificial Intelligence–Internet of Things Enabled Mosquito-Based Diseases Identification Trap. In: Hassanien, A.E., Zheng, D., Zhao, Z., Fan, Z. (eds) Business Intelligence and Information Technology. 2022. Smart Innovation, Systems and Technologies, vol 358. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-99-3416-4_64. 

3. M.B. Jennyfer Susan, P. Subashini, and M. Krishnaveni. (2023). Artificial Intelligence of Things for Smart Healthcare Development: An Experimental Review. In P. Swarnalatha & S. Prabu (Eds.), Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT, pp. 29-60. IGI Global. DOI: https://doi.org/10.4018/978-1-6684-8098-4.ch003 

4. Subashini, P., Dhivyaprabha, T.T., Krishnaveni, M., Jennyfer Susan, M.B. (2023). Smart Intelligent System for Cervix Cancer Image Classification Using Google Cloud Platform. In: Ahad, M.A., Casalino, G., Bhushan, B. (eds) Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. Springer, Cham, PP. 245-281. https://doi.org/10.1007/978-3-031-22922-0_10. 

5. M., Mohana., K., Nandhini., & P., Subashini. (2022). Review on Artificial Intelligence and Robots in STEAM Education for Early Childhood Development: The State-of-the-Art Tools and Applications. In A. Betts, & K. Thai (Ed.), Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness (pp. 468-498). IGI Global. https://doi.org/10.4018/978-1-7998-8649-5.ch019  (Book Name :  Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness )

    

Journals - 19

1. Jennyfer Susan. M. B., Subashini P., & Dhivyaprabha T. T. (2025). Advancing Cervical Cancer Care: A Comprehensive Study of Screening Approach for Tribal Women in Sub-Saharan Africa and Asia. Iranian Journal of Public Health, 54(10), 2151–2160" (SCI and Scopus Indexed)

2. Senthilvel, A., Marimuthu, K., & Parthasarathy, S. (2025). Enhanced white blood cell and platelet segmentation: A particle swarm optimization-based chromaticity approach. Pertanika Journal of Science & Technology, 33(3), 1633–1660. https://doi.org/10.47836/pjst.33.3.24

3. Mohana, M., Subashini, P. & Ghinea, G., 2025, XAI-DSCSA: explainable-AI-based deepsemi-supervised convolutional sparse autoencoder for facial expression recognition. SpringerNature International Journal of Singal, Image and Video Processing (SIViP), Vol 19, 394(2025). https://doi.org/10.1007/s11760-025-03984-1 (Scopus and SCIE)

4. Sekar, Bhuvaneswari and Parthasarathy, Subashini. "Empirical analysis on retinal segmentation using PSO-based thresholding in diabetic retinopathy grading" Biomedical Engineering / Biomedizinische Technik, 2025. https://doi.org/10.1515/bmt-2024-0299.

5. Manju Joy, M. Krishnaveni:Ensemble-based Disease Outbreak Detection: Comparative Analysis of Health News Information Retrieval Techniques. Int. J. Comput. 23(2): 274-280 (2024) ,DOI 10.47839/ijc.23.2.3547

6. Manju Joy, M. Krishnaveni: Enhancing Disease Outbreak Detection: Named Entity Recognition with Fine-Tuned Distilbert, Journal of Theoretical and Applied Information Technology, Vol. 102 No.10 (2024).

7. Santhanambika, M. S., Maheswari, G., Valliammal, N., & Sudhamathy, G. (2024). Leveraging Machine Learning and Deep Learning Techniques for Accurate Classification of Stored Grain Pests. Indian Journal of Entomology, 1–5. https://doi.org/10.55446/IJE.2024.1973

8. Sudha, B., Krishnaveni, M. & Sumathi, S. Translation of Gene Expression Data Into Personalized Treatment in Cervical Cancer: Machine Learning Approach. Indian J Gynecol Oncolog 22, 64 (2024). https://doi.org/10.1007/s40944-024-00831-y

9. Mohana, M., Subashini, P. Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review. SN COMPUT. SCI. 5, 432 (2024). https://doi.org/10.1007/s42979-024-02792-7  URL : https://link.springer.com/article/10.1007/s42979-024-02792-7

10. Mohana, M., Subashini, P., and Shukla, Diksha. ‘Revisiting Face Detection: Supercharging Viola-Jones with Particle Swarm Optimization for Enhanced Performance’. 1 Jan. 2024: 1 – 15. (Pre-print Version)  URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs238947

11. Jennyfer Susan M B, Subashini P, Krishnaveni M, Indhumathi T, "Detection of Specular Reflection from Smart Colposcopy Image using RGB Color Space and Convolutional Neural Network," International Journal of Engineering Trends and Technology, vol. 71, no. 10, pp. 29-38, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I10P204 (Scopus)

12. R. Shanmugavalli and P. Subashini, “Investigation of Ant Colony Optimization Algorithm for Efficient Energy Utilization in Wireless Sensor Network”, International Journal of Computer Networks & Communications (IJCNC), vol. 15, no. 4, pp. 73-92, July 2023. ISSN: 0975-2293, E-ISSN: 0974-2293, (Scopus Indexing). DOI:  10.5121/ijcnc.2023.15405. Publisher Name: AIRCC Publishing Corporation URL: https://aircconline.com/abstract/ijcnc/v15n4/15423cnc05.html 

13. Mohana, M., Subashini, P., & Krishnaveni, M. (2023). Emotion Recognition from Facial Expression using Hybrid CNN-LSTM Network. International Journal of Pattern Recognition and Artificial Intelligence.  VOL. 37, NO. 08  https://doi.org/10.1142/S0218001423560086 (Impact factor: 1.5, Scopus and Web of Science indexed) 

14. M.B. Jennyfer Susan, P. Subashini. (2023). Deep Learning Inpainting Model on Digital and Medical Images – A Review, International Arab Journal of Information Technology. Vol. 20, No. 6. (Article in Press - WoS and Scopus) 

15. M.B. Jennyfer Susan, P. Subashini. (2023). Improvising Grading of Cervical Cancer using Quality Assessments method in Smart Colposcopy Images, Measurement Sensors, Vol. 27, No. 3, pp. 1-11. DOI: 10.1016/j.measen.2023.100788. (Scopus). 

16. R. Keerthana, N. Valliammal, T.T. Dhivyaprabha and P. Subashini. (2023). A healthy nutrition suggestion model for indian women sports players & active youth using long short-term memory. Internet Technology Letters, Special Issue Article, pp. 1-6. DOI: https://doi.org/10.1002/itl2.452, Indexing in Scopus and WoS (E-SCI), Impact Factor: 1.7. 

17. M.B. Jennyfer Susan, P. Subashini, and M. Krishnaveni. (2022). "Comparison of various deep learning inpainting methods in smart colposcopy images", International Journal of  Computational Intelligence Studies, 11(1),  53–72. https://doi.org/10.1504/ijcistudies.2022.123347   (UGC-CARE).

18. G.Indumathi, K.Vetriselvi, Dr.K.Manimegalai, Dr.D.Mathivathani, “ Detection of Anopheline Mosquitoes from microscopic images using Image Processing", Journal of  Huazhong University of Science and Technology , Volume 50, Issue 06, June-2021. ISSN-1671-4512 

19. Dr. P. Sasirekha and Mageswari.S.S (2021) “Digital Banking: the New Normal”, SPAST Abstracts, 1(01). Available at: https://spast.org/techrep/article/view/1843.  

Conferences - 32

1. M.Krishnaveni, P.Subashini, R.Janani, R.Komalavalli, P.Prabhusundhar and G.T. Prabavathi,"Development of an Automatic Speech Recognition System for Irula Language: A Machine Learning Approach", 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (IASCC), Silchar , India, 2025, PP 817-822 doi:10.1109/ISACC65211.2025.10969160.

2. Bhuvaneswari, S., & Subashini, P. (2025, February). A Survey On Publicly Available Fundus Image Datasets For Diabetic Retinopathy Screening. In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) (pp. 961-965). IEEE.

3. J. S. M B and N. S, "Comparative Analysis of Machine Learning Models for Satellite Image Classification with Explainable AI Visualization," 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, India, 2025, pp. 748-753, doi: 10.1109/ISACC65211.2025.10969210.URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969210&isnumber=10969157

4. Sesan, D ; Dhanalakshmi., Jennyfer Susan, M B., Krishnaveni, M., Narmatha, T., Subhashini, P., Prabavathi T. (2025). IoT Enabled Indian Postal Sign Recognition System: Facilitating Communication Among Individuals with Hearing and Speech Impairments. In: Hassanien, A.E., Rizk, R.Y., Darwish, A., Alshurideh, M.T.R., Snášel, V., Tolba, M.F. (eds) Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025). AISI 2025. Lecture Notes on Data Engineering and Communications Technologies, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-031-81308-5_36

5. S. Bhuvaneswari, Dr. P. Subashini, Mrs. N. Sathya, 2025, 'Automated Detection of Hard Exudates for Diabetic Retinopathy Severity Assessment Using Detectron2 Framework', WUACD International Conference 2025 on ‘One Health’, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, 6th-7th Feb 2025.  

6. Krishnaveni, M., Subashini, P., Janani, R., & Jeeva, N. (2023, December). Enhancement of Infant Health Assessment: Predicting Body Mass Index (BMI) from Real-Time Facial Images Using Machine Learning Techniques. In International Conference on Intelligent Systems Design and Applications (pp. 397-413). Cham: Springer Nature Switzerland.

7. Dhivyaprabha, T. T., Jennyfer Susan, M. B., Lalitha, P., Subashini, P., Kamilini, D., & Vijayabhanu, R. (2024). Predicting ethylene production in oxidative coupling of methane: A machine learning approach. In AIP Conference Proceedings (Vol. 3122, No. 1). AIP Publishing. DOI: https://doi.org/10.1063/5.0216039

8. P. Subashini, D. Leena Lavanya, M. Krishnaveni, M. K. Nisha, V. Narmadha, H. Abinaya, E. Gaayathiri Devi; A dynamic controlled environment model for sustainable mushroom cultivation by using machine learning methods. AIP Conf. Proc. 2 July 2024; 3168 (1): 020016. https://doi.org/10.1063/5.0217384

9. S. Aiswarya, M. Krishnaveni, P. Subashini, S. N. Geethalakshmi, N. Preetha. (2024). A new approach for overlapping cell separation in pre-processed sickle images using SCP model. 1st International Conference on Recent Advancements in Computing Technologies & Engineering (RACTE-2023), AIP Conf. Proc, Ghaziabad, India. Vol 3168(1). https://doi.org/10.1063/5.0217102

10. Shanmugavalli, R., Subashini, P. (2024). Performance Analysis of Optimization Algorithms for Energy Efficient Routing Mechanism in WSN. In: Kumar, A., Mozar, S. (eds) Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering. ICCCE 2024. Lecture Notes in Electrical Engineering, vol 1096. Springer, Singapore. DoI: 10.1007/978-981-99-7137-4_64

11. R. Shanmugavalli, M. Krishnaveni, TT. Dhivyaprabha and P. Subashini, "Energy Aware Routing Mechanism Using AODV Protocol for Low Energy Consumption in WSN," 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Publisher: IEEE, Hamburg, Germany, 2023, pp. 242-247, doi: 10.1109/ICCCMLA58983.2023.10346810. 

12. Mohana, M., da Silveira, A.C., Subashini, P., Santos, C.A.S., Ghinea, G. (2023). Technology Enhanced Mulsemedia Learning: Insights of an Evaluation. In: da Silva, H.P., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2023. Communications in Computer and Information Science, vol 1997. Springer, Cham. https://doi.org/10.1007/978-3-031-49368-3_3 

13. M. Mohana, N. Valliammal, V. Suvetha, M. Krishnaveni, P. Subashini and G. Ghinea, "A Study on Technology-Enhanced Mulsemedia Learning for Enhancing Learner's Experience in E-Learning," 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 01-06, doi: 10.1109/NMITCON58196.2023.10275964. 

14. M. Mohana, Aleph Campos Da Silveira, V. Suvetha, P. Subashini, Gheorghita Ghinea, and Celso Alberto Saibel Santos. 2023. Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia. In ACM International Conference on Interactive Media Experiences Workshops (IMXw ’23), June 12–15, 2023, Nantes, France. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3604321.3604357 

15. M. Mohana and P. Subashini, "Emotion Recognition using Autoencoders: A Systematic Review," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 438-443, doi:10.1109/ICISCoIS56541.2023.10100563. Source Link: https://ieeexplore.ieee.org/document/10100563 

16. Krishnaveni, M., Raajeswari, P., Subashini, P., Narmadha, V., Ramya, P. (2023). Soil Nutrient Prediction Model in Hybrid Farming Using Rule-Based Regressor. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_16 

17. P. Subashini, M. Krishnaveni, T.T. Dhivyaprabha, R. Malini, V. Keerthika, G. Kaviya. (2023). A Contemporary Study on Solar Energy Applications and Evaluation in Real-Time Environment. NCMRSI 2023: Proceedings of the National Conference on Multidisciplinary Research for Sustainable Innovations, Coimbatore, pp. 138-150, ISBN: 978-81-931101- 6 - 4.  

18. P. Subashini, M. Krishnaveni, T.T. Dhivyaprabha, M. Mohana, S. Divyasri. (2023). Artificial intelligence-based Totbot Application for Primary School Children. NCMRSI 2023: Proceedings of the National Conference on Multidisciplinary Research for Sustainable Innovations, Coimbatore, pp. 126-137, ISBN: 978-81-931101- 6 - 4.

19. Mohana, M., Subashini, P. (2023). Convolutional Sparse Autoencoder for Emotion Recognition. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_1 

20. Bhuvaneswari, S., Subashini, P. (2023). Red-Channel Based Iris Segmentation for Pupil Detection. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_22

21. M. Mohana and P. Subashini, "Emotion Recognition using Deep Stacked Autoencoder with Softmax Classifier," 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2023, pp. 864-872, doi: 10.1109/ICAIS56108.2023.10073937. 

22. M.B. Jennyfer Susan and P. Subashini. (2022). "Detection of specular reflection on the smart colposcopy images using fine-tuned U-Net convolutional Neural Network".  First International Conference on Technologies, Sustainable Development Goals and Academia (ICTSGA-1).  Taylor and Francis Publisher. (Accepted) 

23. M. Joy and M. Krishnaveni, "A Review of Epidemic Surveillance Systems for Infectious Diseases," 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), Kochi, India, 2022, pp. 1-6, DOI: 10.1109/IC3SIS54991.2022.9885291.

24. International Conference on “Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research and Opportunities”: ICAI - 2022 Abstract Proceedings, in P. Subashini, N. Valliammal, M. Krishnaveni, G. Sudhamathy and M. Thilagu (eds.), Notion Press, April 2022, pp. 1-60, ISBN: 979-8886677430

25. G. Padmavathi, D. Shanmugapriya and A. Roshni, "Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), 2022, pp. 201- 206, doi: 10.23919/INDIACom54597.2022.9763180

26. G. Padmavathi, D. Shanmugapriya and S. Asha, "A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Methods," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), 2022, pp. 354- 358, doi: 10.23919/INDIACom54597.2022.9763205 

27. M.Mohana, Dr.P.Subashini (2021), “Comparison of Viola-Jones and Multi-Task Convolution Neural Network (MTCNN) for Face Detection from Children Facial Expression using Video Sequences” in the International Conference on Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research, and Opportunities (ICAI-2022) Organized by the Centre for Machine Learning and Intelligence, DST-CURIE-AI, during Feb 24th & 25th, Coimbatore, TamilNadu. ISBN-13 ‏: ‎979-8886677430 (Abstract Only).

28. Narmadha.V, Valliammal.N,” Detection and Prevention of Cyber Harassment against Women in Social Media using Supervised Learning Algorithm”, Proceedings of ICTARA2020, ISBN-978-81-937760-4-9,2020

29. Ms. Roshni A, Dr. Kalpana B, "IoT Based Smart Home Automation and Personalization System" Proceedings of International Conference on Next Generation Computing Systems (ICNGCS - 2021), ISBN: 978 - 93 - 89515 - 35 - 0 

30. N. Karthika and B. Sargunam, ‘YOLOv4 for Multi-class Artefact Detection in Endoscopic Images,’ 2021 International 3rd International Conference on Signal Processing and Communication (ICPSC), 2021, pp. 73-77, DOI: 10.1109/ICSPC51351.2021.9451761 

31. Dr. G. Padmavathi, Dr. D. Shanmugapriya and Ms. S. Asha, ‘A Framework for Improving the Accuracy with Different Sampling Techniques for Detection of Malicious Insider Threat IN Cloud’ presented in 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021) and published in series “Algorithms for Intelligent Systems”, 2021, pp. 1-10

32. Bindu Vazhakkatte Thazhathethil, Utthra Balasubramaniam and Sharon Treesa Abraham, "Coimbatore Destination Chatbot: A Study on Customer Preference," 2021 IoT Vertical and Topical Summit for Tourism, 2021, pp. 1-6, DOI: 10.1109/IEEECONF49204.2021.9604846

International Poster Publications-4

1. R Chakkaravarthini, SN Geethalakshmi, P Subashini and TT Dhivyaprabha. Digital Apps for Nursing the Health Conditions of Pregnant Women, Infants and Young Children. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.PUWWLN.v1.

2. Pooja Sri Saraswathi A, Vijayabhanu R, Subashini P, Dhivyaprabha TT and Jennyfer Susan MB. Graph Neural Network: The Next Frontier in Deep Learning. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.P9BKIX.v1. 

    

3. Kamalini D, Vijayabhanu R, Subashini P, Dhivyaprabha TT and Jennyfer Susan MB.  Revolutionizing Chemistry with Artificial Intelligence: Opportunities and Applications. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.PSNSPU.v1. 

    

4. Subashini, P., Krishnaveni, M., Dhivyaprabha, T.T., Malini, R., Keerthika, V., Kaviya, G. (2023). A contemporary study on solar energy applications and evaluation in real-time environment. International Poster Challenger Competition Peeref (Poster), DOI: https://doi.org/10.54985/peeref.2304p8181720.   

Newsletters 

1. Issue 1, Sept 2019  "Click here"

2. Issue 2, Feb 2020 "Click here"

3. Issue 3, July 2020  "Click here"

4. Issue 4, Oct 2020  "Click here"

5. Issue 5, Jan 2021  "Click here"

6. Issue 6, May 2021  "Click here"

7. Issue 7, August 2021  "Click here"

8. Issue 8, January 2022  "Click here"

9. Issue 9, June 2022  "Click here"

10. Issue 10, Aug 2022  "Click here"

11. Issue 11, Feb 2023  "Click here"

12. Issue 12, July 2023   "Click here"

13. Issue 13, September 2024    "Click here"

14. Issue 14, November 2025    "Click here"

Special Issue

1. Invest in women : Accelerate Progress  "Click here"

 Sponsored projects

• Title : ‘Microbial Consortia and its biomolecules (mVOC) in Rice ecosystem’

  Collaborator : Dept. of Agri. Microbiology, Tamilnadu Agricultural University, Coimbatore

  Sponsor : Private Scheme – Organova Bio-Agriculture Pvt. Ltd., Coimbatore

  Amount: Rs. 9.4 Lakhs

  Duration: Feb 2025 – Jan 2027

• Title : Evolving Artificial Intelligence Based Hedonic Price Index for Laptops and Mobile Phones in India

  Sponsor : Ministry of Statistics and Programme Implementation, Govt. of India

  Amount: Rs. 15,10,000/-

  Duration: April 2025 – March 2026

 Students project

• Students Project 2024 -2025 - Click here

• Internship Project 2024-2025 - Click here

• Students Project 2023-2024 - Click here

• Internship Project 2023-2024 - Click here

• Students project 2022-2023 - Click here

• AI Research Projects 2021 -2023 (DST CURIE AI Phase - II Funded) - Click here

• AI Research Projects 2019 - 2020 (DST CURIE AI Phase - I Funded) - Click here

Other Activities

Awards/Recognitions

Awards/Recognition

1. S.P. Sudandira Nachini I B.Sc. AR VR selected as Students council Secretary.

2. The "Most Fittest Class" award was secured by B.Sc. ARVR students in Annual Sport Meet conducted by Department of Physical Education Avinashiligam University. 

3. Mrs.S.Bhuvaneswari has been awarded as First Prize for Paper Presentation on Paper Entitled "Automated Detection of Hard Exudates for Diabetic Retinopathy Severity Assessment Using Detectron2 Framework" in WUACD International Conference 2025 on 'One Health' on 6th & 7th Feb 2025.

4. Aiswarya S., Krishnaveni M., Subashini P., Aathi Obusre M., and Narendran P. received the Best Paper Award in the category of Image Processing and Computer Vision for the paper titled "Automatic Detection of Erythrocytes for Sickle Cell Disease Identification Based on YOLOv8n Network" at the 5th International Conference on Computational Intelligence (ICCI 2024).

5. Dr. Jennyfer susan M B has been awarded as Best Researcher Award by 6th edition International Research Awards on Network Protocols on 04 July 2023

6. Dr.M. Krishnaveni and Mrs.V. Narmadha has been awarded BEST PAPER award for the paper “A Dynamic Controlled Environment Model for Sustainable Mushroom Cultivation by Integrating ML and Physiological Parameters” in International Conference on “Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research and Opportunities (ICAI-2022) “Organized by the Centre for Machine Learning and Intelligence, DST-CURIE-AI, during 24th & 25th February, 2022.

7. Dr.M. Krishnaveni and Mrs.V. Narmadha has been awarded 1st prize in "One day Intra University Product Display Competition", for "Anti Sleep Glass for Drivers" held on 11.08.2022.

8. Ms. R. Ramya, Research Scholar, Department of Bio Chemistry has been awarded 1st prize in “Innovative Ideas to Products” from National Science day Celebrations, February 2022  for “Prediction of E-Coli Bacteria in Food Samples using Raspberry Pi”.

9. Ms.M.Mohana  Research Scholar and  Ms.V.Suvetha II MCA ,Department of Computer Science has been awarded 1st  prize in "Innovative Ideas to Products"  under PhD Category  from National Science Day Celebrations, February 2023 for " Real-time Facial Emotion Recognition (FER) from Facial Expression using IoT System".

10. Ms.Archana , Ms. Ridhu priya and Ms.Farveen Banu B.Sc CS I year , Department of Computer Science has been awarded 1st   prize in "Innovative Ideas to Products" under  UG Category  from National Science Day Celebrations , February 2023 for " Web based Child Rescue System".

11. Ms.G.Kaviya and Ms.G.Vinaya B.Sc CS III Year , Department of Computer Science has been awarded 2nd   prize in" Innovative Ideas to Products" under  UG Category from National Science Day Celebrations,February 2023 for "Artificial Intelligent Based Mosquito Identification Trap".                                                        

International Conferences

1.International Conference on "Artificial Intelligence - Multidisciplinary Perspectives on Emerging Challenges, Reseach and Opportunities(ICAI 2022)" Visit

Workshops 

1. One day Workshop on "3D Printing for Innovation and Entrepreneurship" Details
2. Online Practical Workshop on "UI/UX Design"Details
3. Workshop on "User Interface (UI) & User Experience (UX)" Details
4. Workshop on "Machine Learning for Material Science" using Schrodinger Platform Details
5. One day Workshop on 3D Printing Skill Development for Enterpreneurial Opportunities Details
6. One day Workshop on Android Programming in Tamil  Details
7. Two Day Hands on Workshop on Cyber Forensics and Security for Entrepreneurial Opportunities Details
8. Skill Building Workshop on Arts and Technology Details
9. Workshop on Adobe Photoshop Basic Details
10. Orientation Programme on Research Methodology Lms  Details
11. One day workshop on "Lanquill AI Tool"  Details
12. Two day workshop on "Machine Learning in Economic" Details
13. Skill Development Programme on "3D Printing" Details
14. Two day Hands on Workshop in "Embedded System and IoT"  Details
15. Two day workshop on "DSpace - Digital Respository Software" Details
16. One day-workshop on "Systematic Review and Meta Analysis using PRISMA" Details
17. One day workshop on"Prototype Experiment for Beginners Embedded system". Details
18. One day workshop on "Prototype Experiment for Beginners". Details
19. One day workshop on "3D Printing for Bio Science". Details
20. One day workshop on "3D Printing for Home Science" Details
21. International Workshop on "Artificial Intelligence in Tamil"  Details
22. Applications of "AI and IoT in farming"  Details
23. Workshop on "MATLAB"

Traning Programmes

1. Two day Online Training on "Accelerate Research with Machine Learning using Schrodinger Platform" Details
2. One day Training Programme on "SIGMAPLOT 14.5 -Data Visualization and Analysis" Details
3. Three days hands-on training on "Embedded Computing for IoT Systems"

FDPs

1. Nineth Short Term Capacity Building Programme on "Revolutionzing Life Science using Artificial Intelligence (2024)"Details
2. Eight Short Term Capacity Building Programme on "AI for Engineers: Tools , Technique and Applications (2024)" Details
3. Sixth Short Term Capacity Building Programme on "Artificial Intelligence in Allied and Healthcare Sciences(2024)" Details
4. V Short term Capacity Building Programme on "Artificial Intelligence Assisted Science Education(2024)" Details
5. II Short term Capacity Building Programme on "Adaptive Learning: Personalized Education with AI"(2024) Details
6. IV Short term Capacity Building Programme on "Artificial Intelligence in Education"(2023) Details

Awareness Programmes

1. Awarness on "3D Food Priniting Technology" Details
2. AI Awareness Programme for Faculty Members -" Artificial Intelligence meet other disciplines" Details
3. One day Awarness Programme on "What Next AR/VR ?" Details

Summer School

1. 5 Day Programme on "Summer Camp for Young Creators" for school students Details
2. 5 Day Programme on "AI Learning Summer School for Young Innovators" for school students Details
3. 5 Day Programme on "Python Programming" for school students Details

Technical Talk

1. Invited Talk on "AI and Human Wisdom" Details

2. One day Technical Talk on "Augmented Reality and Virtual Reality" Details

Competition

1. Video Making Competition theme "Industrial Revolution". Details

2. Quiz Competition on "AI in Social Media". Details

3. Debate Competition on "Robot Teachers vs Real Teachers". Details

International Women Day Celebration 2024 Theme Invest in Women :Accelerate Progress Details

Research Colloquim

1. The First Research Colloquium was conducted on 23.10.2021 - Click here

2. The Second Research Colloquium was conducted on 23.03.2022 & 24.03.2022 - Click here

3. The Third Research Colloquium was conducted on 23.07.2022 - Click here

4. The Fourth Research Colloquium was conducted on 01.04.2023 - Click here

5. The Five Research Colloquium was conducted on 21.03.2024 & 22.03.2024 - Click here

6. The Six Research Colloquium was conducted on 02.12.2024 & 03.12.2024 Click here

CMLI Learning Management System

                                                          Course in Moodle Platform                                 Courses in Wordpress Platform

                                                                 1.Artificial Intelligence                                              1. Research Methodology

                                                                                                                                                        2. Digital Intelligence

Students Visit

Biotechnology Internship 2025  students Visit

CNR Rao Lab Internship 2025 students visit

 

Stanes Anglo Indian Higher Secondary School

50 Students of Class 12 from Stanes school visited CMLI on 24.03.2025

 

K'sirs -Kaumaram Sushila International Residential School

20 students of Class 4 from K'sirs School visited CMLI on November 27 and 28, 2024

Nirmala College for Women

53 students of I B.Sc Data Science with 1 Faculty Member visited CMLI on 02 August 2024.

Nallamuthu Gounder Mahalingam College , Pollachi

48 Students of III B.Sc Computer Science with2 Faculty Members visited CMLI on 26 July 2024

Sri.S.Ramasamy Naidu Memorial College,Sattur.

41 Students of III B.Sc Computer Science with 2 Faculty Members visited the CMLI on 07 Feb 2023.

Kunthavai Nachiyaar Govt.Arts College for Women, Thanjavur.

 

40 Students from Chemistry Department of Kunthavai Nachiyaar college visited the CMLI on 21.September 2023.

Kongu Arts and Science College,Coimbatore.

  

50 Students from Chemistry Department of Kongu Arts and Science college visited the CMLI on 8 December 2023.

Ganga Institute of Health Sciences, Coimbatore.

Students from Ganga Institute of Health Sciences visited the CMLI on 13 June 2024.

Amrita Vidyalayam , Coimbatore.

50 Students from Amrita Vidyalayam School visited the CMLI on 3.July 2024

Key Achievements

1. Ms. Nishanthini .S , I M.Sc. AI presented a research paper entitled "Comparative Analysis of Machine Learning Models for Satellite Image Classification with Explainable AI Visualization" at the 3rd International Conference on Intelligent Systems, Advanced Computing, and Communication (ISACC 2025) Certificate

          Paper Details:

           Title: Comparative Analysis of Machine Learning Models for Satellite Image Classification with Explainable AI Visualization           

           Authors: Jennyfer Susan M B, Nishanthini S                                      

           Presentation Mode: Online                          

           Date of Presentation: 28th February 2025                        

           Organized by: Department of Computer Science and Engineering, Assam University, Silchar, Assam, India

2.Details of Mini Project - Click Here

Key Achievements

1. S.P. Sudandira Nachini I B.Sc. AR VR selected as Students council Secretary.

2. The "Most Fittest Class" award was secured by B.Sc. ARVR students in Annual Sport Meet 2024-2025 conducted by Department of Physical Education Avinashiligam University. 
3. I B.Sc. AR VR Students partcipated in Group dance , Fireless cooking, Face Painting and Solo dance competition in August Kondattam held at YWCA. In that Sudandira Nachini secure 2nd place in solo dance competition.

   

4. Sudandira nachini & Avanthika participated in Face Painting competition held at Rama Krishna Arts and Science college for  Women.

              

5. Gopika .P partcipated in CM Trophy Judo competition held at salem

              

6. S.P.Sudandira nachini secure first prize in wealth out of waste competition & second prize in rangoli compeition in Kalai vizha  held at Avinashilingam University.

                  

7. Bhuvanashree & Shalini Devi - Coauthor for "Rasika Marantha Nodigal" Anthology by Yaappu Publications.