RAMCO INSTITUTE OF TECHNOLOGY

RIT AI Research

Our Collaboration

We have signed an agreement with Bennett University as a Lead Zonal Partner for increasing the knowledge pool in the High-end technologies of Artificial Intelligence, Deep Learning in India. Prof. Deepak Garg, Bennett University, Noida has received funds from the Royal Academy of UK, University College of London, NVIDIA, Amazon for the research Initiative titled Making Deep Learning and AI skills mainstream in India to fulfill trilateral needs of entrepreneurship, Industry academia partnership, and application-inspired Engineering Research.

Facilities available in the AI lab:

Sl.No.	Product Description with Configuration	Price (in Rs.)
1.	NVIDIA GPU powered Dell Workstation: Dell EMC Workstation with a configuration of Dell Precision Tower 7920, 2xIntel Xeon Gold 5118, 12 core processor, Intel C621 Chipset, 256 GB 2666 MHz DDR4 RAM, 2xNVIDIA Quadro GV100 + NVLink, , 1x1TB SATA HDD, Dell Ultrasharp 27 Monitor	18,99,800
(Rupees Eighteen Lakhs ninety nine thousand and eight hundred Only/-)

Our AI Research Team Members:

Sl.No.	Name of the Faculty Members	Designation
1.	Mr.M.Gomathy Nayagam	Lead Person (SPOC), Assistant Professor(SG)/CSE
2	Mr.T. Chockalingam	Assistant Professor/Civil
3	Mr.P.Gunasekaran	Assistant Professor/ ECE
4	Dr.K.karthikeyan	Associate Professor/ EEE
5	Mr.S.Valai Ganesh	Assistant Professor/Mechanical

Objectives:

• To motivate and encourage the students and faculty members to do their research work and create products in the domain of artificial intelligence and deep learning.
• To publish the research works in reputed journals and conferences.
• To receive financial research grants from various funding agencies.
• To conduct training programs to emphasize experiential learning.

Research Publication

Sl.No.	Period	No. of Journal Published	No.of International Conference
1	February 2019 to August 2019	05	12
2	October 2018 to January 2019	01	02

 

Book Chapters Published

Sl.No.	Title of the Book Chapter	Name of the Author	Publication/ Agency	Month & Year of Published
1.	Machine Learning Techniques to Mitigate Security Attacks in IOT	Dr.K.Vijayalakshmi & Mr.K.Vignesh Saravanan	IGI Global	January 2020
2.	Deep Learning-based decision making with WoT for smart city development.	Dr. M.Kaliappan	CRC Press	January  2020
3.	Modern Automation Systems	Dr.S.Rajakarunakaran Dr.S.Godwin Barnabas Mr.S.Valai Ganesh Mr. T. Selva Sundar	Kindle	December 2019
4.	Introduction to AI-based Applications	Dr.S.Rajakarunakaran Dr.S.Godwin Barnabas Mr.S.Valai Ganesh Mr. T. Selva Sundar	Amazon	January 2020

Workshop / Webinar Organized:

Guest Lecture on Introduction to ML in Natural Language Processing

RIT- AI Cell, Ramco Institute of Technology organized guest lecture on Introduction to ML in Natural Language Processing on 07.06.2022. Mr.S.Valai Ganesh, AP/Mech has explained about text mining and its flow, significance of text mining, speech recognition, NLTK python module, Text extraction and pre-processing techniques, NLP process workflow and finally he gave the demonstration in basics of NLP and Movie review in NLP. 29 students from CSE, ECE and Mechanical department were participated.

Guest Lecture on AI & ML

RIT- AI Cell, Ramco Institute of Technology organized guest lecture to I year CSE & I year ECE students in connection of Microsoft Techsaksham FDP. Ms.N.Nithya, Assistant Professor/CSE and Ms.B.VijayalakshmiAP(SG)/CSE have delivered the lecture in the topic of AI overview and its Applications on 04.02.2022 & 07.02.2022 & 3.00pm to 04.00 pm. She explained the basics of AI , the difference between AI, ML and DL concepts to the students.120 students of I year CSE and ECE were participated.

Faculty Development Program on Enabling the professional development of faculty on IR4.0 Technology Artificial Intelligence

The RIT-AI Cell, Ramco Institute of Technology, Rajapalayam organized a five day Microsoft and SAP CSR Techsakhsham Faculty Development Program on Enabling the professional development of faculty on IR4.0 Technology Artificial Intelligence from 24.01.2022 to 29.01.2022 in association with Edunet. 55 Faculty members across various institutes include internal faculty were actively participated in this program. Faculty Members are exposed in to the topics like Machine Learning Algorithms, Deep Learning Concepts and Hands-on-Sessions by the trainers. Assignments were also posted at the end of each session. The sessions were coordinated by Dr. M. Gomathy Nayagam, ASP/CSE, Mrs. N. Nithya, AP/CSE and Mr.S.Valai Ganesh, AP/Mech

One Day Webinar on Challenges in Building Intelligent Unmanned Systems

RIT-AI Research Group, Ramco Institute of Technology, Rajapalayam organized a one-day Intra college research Webinar on Challenges in Building Intelligent Unmanned Systems for the UG Students, Research Scholars, internal faculty members on 09th October 2021. Dr. Sreejith Vidhyadharan Nair, Post-Doctoral Researcher, University of North Dakota, Grand Forks, USA delivered the lecture. The objective of the guest lecture is to focus on an Challenges in the design of Unmanned Vehicle . The resource person explained the role of AI in building unmanned aircraft system and elaborates the difference between the applications of manned system and unmanned systems. He spoken about the operational challenges in UAV, technologies used in UAV, the role of edge devices in UAV and the difference between edge devices and cloud, and ML in edge devices and its various security issues. Total 84 numbers of participants were participated and got benefited.

One Day Webinar on Applications of AI and ML in Industry 4.0

RIT-AI Research Group, Ramco Institute of Technology, Rajapalayam organized a one-day Webinar on Applications of AI and ML in Industry 4.0 for the UG and PG Students, Research Scholars, internal and external faculty members on 02nd October 2021. Dr.P.Palpandian, Professor and Programme Coordinator- B.Tech Robotics and Mechatronics, Department of Mechanical and Automobile Engineering, Christ University (Deemed to be University) delivered the lecture. The objective of the guest lecture is to focus on an impact of AI and ML in Industry 4.0. The resource person explained about the development stages of Industrial manufacturing, Potential Industry 4.0 solutions, the impact of Industry 4.0 in companies, Benefits, AI in manufacturing industries with case studies and ML solutions for the manufacturing Industry. Total 169 numbers of participants (including internal faculty members) across India and the participants from Philippians and Spain participated and got benefited.

Three Day Workshop on Artificial Intelligence and Machine learning

RIT-AI Research Centre in association with RIT-IIC cell, Ramco Institute of Technology, Rajapalayam organized a Five-day Faculty Development program on Demystifying Machine Learning algorithms using Python for the Research Scholars, internal and external faculty members from 28th December 2020 - 02nd Jan 2021. Dr.Danilo Pelusi, Associate Professor, University of Teramo, Italy delivered the keynote address and handled the session in the title of Introduction to AI, ML and its Application in the first session of FDP. Mr.Senthil Ramachandran, Senior Director, Capgemini delivered the lecture titled Advanced Analytics and Artificial Intelligence for Industries in the eleventh session of FDP. The members of the RIT-AI Research centre handled the other sessions of FDP and gave hands-on to the participants. Total 83 numbers of participants (including internal faculty members) from 32 institutes across India participated and got benefited.

Three Day Workshop on Artificial Intelligence and Deep Learning

RIT in association with NVIDIA Bennett Research Lab, Bennett University, Noida organized a Three-day workshop on Artificial Intelligence and Deep Learning during 14.09.2018 to 16.09.2018. Prof. Deepak Garg, Director, NVIDIA-Bennett Research Centre for AI, Dr.Sridhar, Project Manager and Dr.Suneett, AP, Bennett University were the resource persons. 63 faculty members from our and other college were participated. The resource persons handled the session on Introduction to AI & Deep learning, Hyper parameters, CNN, RNN, GRU, LSTM, Transfer learning.

Two day workshop on NVIDIA GPU, Kubernetes and ML Frameworks

RIT-AI Research Centre in association with NVIDIA Bennett Research Centre and SS Information Systems Pvt. Ltd. Chennai conducted a Two day workshop on NVIDIA GPU, Kubernetes and ML Frameworks for the Students of AI research team during 25.07.2019 & 26.07.2019. Students were exposed to:

• How to Install and Kubernetes cluster in NVIDIA powered GPU.
• How to deploy Tensorflow based ML Application in Kubernetes Cluster.
• Sample ML Applications were deployed by the students in Kubernetes Cluster.

Three Day Workshop on Artificial Intelligence and Machine learning

RIT AI- Research Center conducted a Three-day workshop on Artificial Intelligence and Machine learning from 03.01.2019 to 05.01.2019. 28 students of Final Year students participated in this workshop. Mr.R.Balaji Ganesh, AP(SG)/CSE, Dr.K.Karthikeyan, ASP/EEE, Mrs.M.Swarna Sudha, AP(SG)/CSE Mrs.B.Vijayalakshmi, AP(SG)/CSE, Ms.P.Jothi Thilaga, AP/CSE handled the session on Basics of machine learning and deep neural network, CNN, Faster R-CNN , Mask R-CNN, RNN, NVIDIA Deep Learning Institute Hands-on Labs.

One Day Workshop on Tensor Flow

RIT AI Research centre and Department of CSE organized a One day Workshop on Tensor Flow during the National Level Technical Symposium TechYuga 2019 on 31.08.2019. 65 participants from various colleges participated in this workshop. Mr.Asokmani, final year CSE student handled the session on Motivation to AI, Deep Learning Fundamentals, Tensorflow, Playground, Introduction to Prediction and Classification Algorithms along with the hands-on session.

One Credit Value Added Course on Transfer Learning Frameworks

Department of CSE Conducted Anna University approved One Credit Value added course on Transfer Learning Frameworks for III Year CSE students during the academic year 2019-2020(Odd Semester) with the approval of Anna university. Mr.V.Chandran, AP/ECE, NVIDIA DLI Ambassador, KPR Institute of Engineering and Technology, Coimbatore, and our faculty members handled the 30 hours on CNN, RCNN, YOLO to the iii year CSE students on this value-added course.

Five Days Faculty Development Program on Machine Learning using Python"

Department of Computer Science and Engineering in association with ISTE Faculty Chapter and RIT AI- Research organized Five Days Faculty Development Program on Machine Learning using Python for the faculty members from 8.07.2020 to 12.07.2020. 45 number of faculty members from various colleges in Tamil Nadu, Andhra Pradesh, Maharashtra, Madhya Pradesh and Chhattisgarh attended the FDP. Mrs.N.Nithya, AP/CSE introduced the basics of machine learning. Mrs.B.Vijayalakshmi, AP(SG)/CSE & Mr.K.Vignesh Saravanan, AP/CSE handled the python packages for machine learning algorithms. Mr.D.Lakshmanan,AP(SG)/CSE & Mr.M.Gomathy Nayagam, AP(SG)/CSE handled the supervised and unsupervised learning algorithms. Mr.M.Gomathy Nayagam, AP(SG)/CSE, Mrs.B.Vijayalakshmi, AP(SG)/CSE & Mr.K.Vignesh Saravanan, AP/CSE coordinated the entire FDP under the guidance of Dr.K.Vijayalakshmi, Professor & Head/CSE.

Sabbaticals Attended at Bennett University by Faculty :

Faculty Members of our college have attended sabbaticals on Research on Artificial Intelligence at NVIDIA-Bennett Deep Learning Lab, Bennett University, Noida for the duration of four weeks (10.11.19 to 10.12.19). The faculty members are doing research under the guidance of Dr.Suneet Gupta, Sabbatical Coordinator, Bennett university.

 

S.No.	Name of the Faculty Members	Department
1.	Dr.K.Karthikeyan, ASP/EEE	Associate Professor/ EEE
2.	Mr.K.Vignesh Saravanan, AP/CSE	Assistant Professor/CSE
3.	Mr.S.Valai Ganesh, AP/Mech	Assistant Professor/Mechanical
4.	Mr.R. Deiva Nayagam, AP/ECE	Assistant Professor/ECE

Mr.Vignesh Saravanan AP/CSE attended the review at Bennett university for his one month Sabbatical work

Student Internships at Bennett University

Students of our college have attended internships during summer and winter vacation at NVIDIA-Bennett Supercomputing Laboratory at Bennett University, Noida and completed mini-projects.

Sl.No.	Period	Number of Students
1	December 2018 to January 2020	21

CSE Students Internship at Bennett University(Sample- 2018-2019)

Sl. No.	Year	Register No.	Name of the Student	Topic	Duration
1.	III	953617104033	Pushpavanam Sabarish	Emotional Recognition using EEG Signal	02.12.2019 to 28.12.2019
2.		953617104035	Rajarajeshwari P
3.		953617104020	Madhan Kumar M	Traffic Flow prediction	27.05.2019 to 27.06.2019
4.		953617104040	Sathya Prakash K
5.		953617104048	Sukin M
6.		953617104044	Sriram Karthikeyan R
7.		953617104055	Yogesh Loganath M
8.	IV	953615104010	Gokul Raja M	Road traffic Analysis using faster R-CNN	20.12.2018 to 18.01.2019
9.		953615104046	Sreeraaggavan S	Image to image translation using GAN
10.		953616104006	Ashokmani S	Abnormal human behavior detection in Restricted Environment
11.		953616104031	Manikandan T	Stock market prediction

Student NVIDIA Online Certificate Course (2019-2020)

Sl. No.	Name of the Student/Teacher	Status	Name of the Course	Name of the Provider
1.	Mr.T.Manikandan	Completed	Fundamentals Of Deep Learning For Computer Vision	NVIDIA
2.	Ms.P.Rajarajeswari	Completed	AI From the Data Center to the Edge- An Optimized Path Using Intel Architecture	Intel AI
			Getting Started with AI on Jetson nano Nvidia Deep Learning Institute	NVIDIA
			Fundamentals of Deep Learning for Computer Vision Nvidia Deep Learning Institute	NVIDIA
3.	Mr.M.Sukin	Completed	AI From the Data Center to the Edge- An Optimized Path Using Intel Architecture	Intel AI
4.	Pushpavanam Sabarish	Completed	Fundamentals of Deep Learning for Computer Vision Nvidia Deep Learning Institute	NVIDIA
5.	Mr.S.Bala Kumaresan	Completed	Deep Learning	NVIDIA
6.	Mr.B.Ashok Babu	Completed	Deep Learning	NVIDIA
7.	Mr.P.Chandramohan	Completed	Deep Learning	NVIDIA

Other Online Courses (NPTEL/edX/Coursera etc.

Student/ Teacher	Name of the Student / Teacher	Status	Name of the Course	Name of the Portal like NPTEL/edX/Coursera etc
Student	Mr.S.Ashokmani	Completed	Machine learning with python	Coursera
Student	Ms.S.R.Harini	Completed	How Google does Machine Learning?	Coursera
Student	Ms.V.Dhanya	Completed	Machine learning with python	Coursera
Student	Ms.U.Keerthana	Completed	Machine learning with python	Coursera
Student	Ms.K.Srinithisivasankari	Completed	Machine learning with python	Coursera
Student	Ms.S.Krishnaveni	Completed	Intoduction to Tensorflow	Coursera
Student	Ms.P.Rajarajeswari	Completed	PyTorch for Deep Learning and Computer Vision	Udemey
Student	Mr.S.Srijith	Completed	Principle of Machine Learning - Python Edition	EDX
Student	Ms.R. Siva Ranjani	Completed	Machine Learning A-Z:Hands on Python & R in Data Science	Udemy
Teacher	Mr.S.Valai Ganesh	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr.S.Valai Ganesh	Completed	Deep Learning Fundamentals with Keras	IBM, edx
Teacher	Mr.S.Valai Ganesh	Completed	Deep Learning with Python and PyTorch	IBM, edx
Teacher	Mr.T.Selva Sundar	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr.M.Gomathy Nayagam	Completed	Introduction to Computational Thinking and Data Science	EDX- MIT
Teacher	Mr.A.S.Prabaharan	Completed	Introduction to Computational Thinking and Data Science	EDX- MIT
Teacher	Mr.C.A.Yogaraja	Completed	Introduction to Computational Thinking and Data Science	EDX- MIT
Teacher	Mrs.B.Vijayalakshmi	Completed	Deep Learning Fundamentals with Keras	Edx
Teacher	Dr.K.Karthikeyan	Completed	Deep Learning Fundamentals with Keras	Edx
Teacher	Ms. S. Sharmilakumari	Completed	Deep Learning Fundamentals with Keras	Edx
Teacher	Mr.S.Valai Ganesh	Completed	Deep Learning Onramp	Mathworks
Teacher	Mr.S.Valai Ganesh	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr.T.Selva Sundar	Completed	MATLAB Onramp	Mathworks
Teacher	Mr.T.Ramprakash	Completed	Essential Math for Machine Learning: R	EdX
Teacher	Mr.P.Gunasekaran	Completed	Essential Math for Machine Learning: R	EdX
Teacher	Mr.P.Gunasekaran	Completed	Deep learning Onramp	MathWorks
Student	Ms.G. Shunmugavalli	Completed	Machine learning with python	Coursera
Student	Ms.M.Venkatalakshmi	Completed	Machine learning with python	Coursera
Student	Ms.I.Athsal Mahiba Joy	Completed	Machine learning with python	Coursera
Student	Mr.S.Ashokmani	Completed	Machine learning with python	Coursera
Student	Mr.K.Raj Kumar	Completed	Introduction to Artificial Intelligence	EDX
Teacher	Mrs.M.Swarna Sudha	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mrs.B.Vijayalakshmi	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr.R.Venkatesh	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Ms. P.Jothi Thilaga	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mrs.V.Anusuya	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Ms.S.Manjula	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Ms.J.Sabthami	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Ms.G.Mahalakshmi	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr. S. Valai Ganesh	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Mr. T. Selva Sundar	Completed	Essential Math for Machine Learning: R Edition	EDX
Teacher	Dr. K. Karthikeyan	Completed	Essential Math for Machine Learning: R Edition	EDX
Student	Ms.M.ShriMalavika	Completed	Machine learning with python	Coursera
Student	Ms.V.Nivetha	Completed	Machine learning with python	Coursera