Schedule of FDP – (From 22/02/2022 to 26/02/2022)
Overview of the FDP:
This Programme aims at deliberation, sharing knowledge to the target audience about the significance of Machine Learning Techniques, concepts, implementation, applications, and current research opportunities in the vast field of technology and engineering domain (including practical demonstration using MATLAB, PYTHON, R STUDIO). The discussion shall foster interdisciplinary collaborative research and application. Also, this program provides an excellent opportunity to exchange ideas on topics of importance along with thought-provoking technical sessions.
Objectives:
- To update the participants about the state of the art technologies in Machine Learning Techniques.
- To provide hands-on exposure to the participants on the Machine Learning Techniques.
- To enable participants to learn about the industrial, pedagogical,and real-life applications of Machine Learning Techniques.
- To empower the participants for the teaching and learning capabilities, emphasizing improving their teaching skills on advanced topics of Machine Learning Techniques.
- To give exposure to the participants about the emerging trends and research opportunities in Machine Learning Techniques.
Content of FDP to be covered:
- Fundamental concept on Machine Learning Techniques.
- Applications of Machine Learning Techniquesin different domain areas.
- Hands-on session on Machine Learning Techniques.
- Emerging trends and Research Areas
Resource Persons:
Eminent faculty from CSI, IITs, NITs, Engineering colleges and universities, Scientists from CSIR and other research Labs, and Professionals from Machine Learning Techniquesindustries will deliver lectures conduct workshop sessions and laboratory sessions.
Registration is open to:
Faculty members of the engineering colleges working inmechanical/production/industrial/computer science/Information technology and allied departments, research scholars, technical officers who have an aptitude for working in Machine Learning Techniquesand desire to take up this as their profession.
How to Apply:
Eligible candidates may apply through google link https://forms.gle/NB2QTyGffa2TV3eR7 for registration on or before 20th FEB, 2022. The registration fee is 300/-.
Contact details of coordinator / co-coordinator:
Prof(Dr.)Subir Gupta,
Dept of CSE,
Dr. B C Roy Engineering College Durgapur
Email:[email protected]
Prof Biswajit Mondal,
Dept of CSE,
Dr. B C Roy Engineering College Durgapur
Email:[email protected]
Note: All communications to be addressed to the Coordinator
Programme details:
| Date
Time |
10.30 a.m. to 12.00 a.m. | 12.00 a.m. to 12.15 Noon | 12.15 Noon To 1.45 p.m. | 1.45 p.m. to 2.30 p.m. | 2.30 p.m. to 4.30 p.m. |
| 22/02/22 | Inauguration of FDP Programme (10.30 a.m. to 11 a.m.)
Dr. Saikat Maitra VC, MAKAUT Dr. Sourav Chakraborty Chairman, CSI Kolkata Chapter Dr. NabenduChaki Professor, University of Calcutta Dr. RituparnaChaki Chairman ACM Kolkata Professional Chapter, Professor, University of Calcutta |
Tea Break | Topic: Machine learning for industry 4.0
Spekar: Dr. Debashis De Professor, MAKAUT |
Lunch Break | Hands-on session (MATLAB)
Mathworks.com
|
| 23/02/22 | Topic: Machine Learning Applications in Health Care
Speaker: Dr. Amlan Chakrabarti Professor & Director, A. K. Choudhury School of Information Technology University of Calcutta |
Tea Break | Topic: Machine Learning approach for Predictive Data Modeling and Analytics on Neural Computing
Spekar:Dr. J, K. Mandal Professor, KalyaniUniversity
|
Lunch Break | Session 6
Hands-on session (R-STUDIO) Session 6 Topic: Hands-on Session of R-PROGRAMMING Speaker: Prof. (Dr.) Saptarsi Goswami, HOD, CSE, Bangabasi Morning College, CU |
| 24/02/22 | Topic: Quantum Machine Learning: Understanding Quantum Backpropagation
Speaker: Dr. Siddhartha Bhattacharyya Principal of Rajnagar Mahavidyalaya |
Tea Break
|
Topic: Industrial applications of machine learning
Spekar: Dr.Tanushyam Chattopadhyay Principal Scientist at TCS Research and Innovation Lab |
Lunch Break | Session 9
Topic: Hands-on session of PYTHON
Speaker: Anup Das Aligned automaton Data Engineer |
| 25/02/22 | Topic: CNN
Speaker: Dr. Amitava Nag Professor at the Dept. of IT, Central Institute of Technology (CIT), Kokrajhar, India.
|
Tea Break | Topic: Machine Learning and its applications
Speaker: Dr.SatyasaranChangdar Research Scientist, Machine Learning Section, at the Dept. of Computer Science, University of Copenhagen, Denmark
|
Lunch Break | Session 12
Topic: Hands-on session of PYTHON
Speaker: Anup Das Aligned automaton Data Engineer |
| 26/02/22 | Topic:
Role of optimization in ML-based materials data engineering Spekar: Dr. Subhas Ganguly Professor, NIT, Raipur |
Tea Break | Topic:
Machine Learning has driven Intrusion Detection Systems Speaker: Dr. Bhaskar Mondal Professor, NIT, Patna |
Lunch Break | Session 15
Topic: Hands-on session of PYTHON
Speaker: Anup Das Aligned automaton Data Engineer |
