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EAMCET| ICET| ECET| CODE: BVRI| PGECET| CODE: BVRI1

Welcome to BVRITN

Center of Excellence in Artificial Intelligence & Machine Learning

Objectives of Artificial Intelligence & Machine Learning Lab:

Recent years have seen a dramatic increase of research in the area of Artificial Intelligence (AI) and Machine Learning. The Applications based on AI are becoming more and more integrated in our daily lives. The science fiction stories about AI are slowly becoming true as more and more companies are researching towards it. So, in order to meet the current and future demands of the industry, mainly in the area of AI and Machine Learning, The ‘Centre of Excellence in AI & ML’ provides students training and project based learning which can helps them in their career be it professional or research.

Our centre is associated with LeadingIndia.ai initiative of Bennett University, Greater Noida.

The activities of the centre will be focused towards the areas of Medical Image Analysis, Object detection, Crowd detection, people behaviour, etc. The students will be directed towards internships in companies, Universities and IIT’s.

The proposed curriculum will be taught to students in the semesters 2-2 and 3-1 jointly for both the labs. Semester 3-2 will be utilised for the stream specific training and idealization of the mini/major projects. The student projects will be divided mainly in three categories (based on student interests).

Computer Vision Stream: Object detection, Face detection, Anomaly detection, Video surveillance.

Cognitive Science Stream: BCI.

Health Care Stream: Brain Tumor, cancer prediction - MRI / CAT etc.

Team:

Dr.Syed Abudhagir Umar – Co-Ordinator
Mr.Jigar Patel
Mr. Hari Krishna
Mr.J.Ashok Kumar
Acivities:

Interaction with Renowned Personalities in the field of Artificial Intelligence:

Dr. S.Jagannathan – Missouri University of Science & Technology, USA
Dr.Sri Ram – National Institute of Standards & Technology, USA.
Dr.Deepak Garg – Bennett University, Grater Noida, India
Sabbatical Research:

Dr.Syed Abudhagir Umar – has been involved active research in AI & Deep Learning research along with Bennett University, Greater Noida for 2 months from 30th Oct 2018 to 31st Dec 2018.

Workshop Organised

2-Day Workshop on Image Processing with Matlab and OpenCV
3-Day Workshop on Machine Learning and its Applications – 17th Dec – 19th Dec 2018.
Certification

NVIDIA Certified in Deep Learning – Dr. Syed Abudhagir, Mr.Jigar Patel and Mr. Sivakanth (3rd Year student)
Paper Published

Meena.R and Dr.Syed Abudhagir, “Hand Gesture based Qaudcopter” – Published in Springer LNEE Series 521, Nov 2018, pp.1-10 – (Scopus indexed)
Jigar Patel, Dr.I.A.Pasha 1, D. Hari Krishna, “Classification of imagery vowel speech using EEG and cross correlation”, International Journal of Pure and Applied Mathematics (IJPAM), Vol. 118, Issue 24b, pp.1-10 (Scopus indexed)
Dr.Sanjay Dubey, Jigar Patel, Dr.I.A.Pasha, “BCI Software Tools and Datasets: A short survey”, International Journal of Pure and Applied Mathematics (IJPAM), Vol. 120, Issue 6, 2018, pp.7855-7870 – (Scopus indexed) https://acadpubl.eu/hub/2018-120-6/6/543.pdf
Poster Presentation

Dr.Syed Abudhagir U & Mrs.Aarthi Priya- “Anomaly Event Detection in Video Survelliance using Deep Learning Approach”- 2018 IEEE 8th International Advance Computing Conference- 14th – 15th Dec 2018.
Keynote Speaker

Dr.Syed Abudhagir – Delivered keynote speak – One Week FDP on IoT – 12th Nov 2018 – VGI Group of Institutions – Dadri- UP
Mr. Jigar Patel – Resource Person - FDP on "Biomedical signal processing and analysis for cognitive Neuroscience study". PDA college of engineering, Gulbarga, Karnataka, on 10th January 2018
Areas of Research

Artificial Intelligence
Deep learning
Computer Vision
Self-driving car
Object Detection
MRI Imaging
BCI
Projects

Anomaly activity detection in Narsapur Bus Terminal
Vehicle classification in Narsapur – real time video – on Going
Leaf disease detection – On going
Industrial Visit

Dr.Syed Abudhagir visited NVIDIA – GPU - Supercomputer facility @ Bennett University, Greater Noida.
Student Training Activity Plan Cognitive Science Stream

Sem 2-2 Sem 3-1 Sem 3-2 Sem 4-1 Sem 4-2
Introduction to AI Python Programming Foundations of Cognitive Sciences Major Proj + Paper Major Proj + Paper
Intro to Machine Learning Neural Networks and Deep Learning Brain Computer Interface Major Proj + Paper Major Proj + Paper
Introduction to Python Programming AI & ML Tools such as Tenson Flow, Alex Net etc. Mini-Project + Paper Major Proj + Paper Major Proj + Paper
Computer Vision Stream

Sem 2-2 Sem 3-1 Sem 3-2 Sem 4-1 Sem 4-2
Introduction to AI Python Programming Basics of Image Processing Major Proj + Paper Major Proj + Paper
Intro to Machine Learning Neural Networks and Deep Learning Edge and Objection Detection Major Proj + Paper Major Proj + Paper
Introduction to Python Programming AI & ML Tools such as Tenson Flow, Alex Net etc. Real-Time Image and Video Analysis Major Proj + Paper Major Proj + Paper
Medical Image Analysis Stream

Sem 2-2 Sem 3-1 Sem 3-2 Sem 4-1 Sem 4-2
Introduction to AI Python Programming Basics of Image Processing Major Proj + Paper Major Proj + Paper
Intro to Machine Learning Neural Networks and Deep Learning Edge and Objection Detection Major Proj + Paper Major Proj + Paper
Introduction to Python Programming AI & ML Tools such as Tenson Flow, Alex Net etc. Neuro-Imaging Techniques and Medical Image Analysis Major Proj + Paper Major Proj + Paper