5 Days Faculty Development Program on “Artificial Intelligence and Machine Learning” (AIML)
This Faculty Development Program (FDP) is designed to focus on the Artificial Intelligence and Machine Learning. We will discuss its concepts, types, algorithms, techniques, and practical for various applications. It will help to brush up the knowledge and skills of the faculty members of various academic institutions in India. This FDP will generate an ecosystem for research and provide the academic excellence in the system. The objective of this FDP is to provide the theoretical and practical knowledge about the AIML. AIML has also opened interesting research and academic opportunities in Multidisciplinary areas.
Date and Time
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- Udaipur, Rajasthan
- India 313601
- Contact Event Host
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Hitesh Sen, Branch Counselor, IEEE Student Branch (IEEE Delhi Section), Sir Padampat Singhania University, India
Mail-sen.hitesh@spsu.ac.in
- Co-sponsored by IEEE Rajasthan Sub-Section, India
Speakers
Dr. Mukesh Kalla of Sir Padampat Singhania University
Introduction to Artificial Intelligence and Machine Learning
Dr. Mukesh Sir given the explanation of neurons related to human brain and auditory cortex in relation to mechanism to Artificial intelligence. He has given different definitions of AI.and explained about Physical symbol system hypothesis relate to symbols. He discussed about evolution of Artificial intelligence. He talked about advancement of Artificial intelligence and explained about Machine learning and explained important terms like task, performance and experience. He has given the explanation on Deep learning and supervise, unsuperwised and reinforcement and types of Machine learning algorithms and applications in relation to prediagnose of tumor and cancer and much more things related to AI&AML
Biography:
Dr. Mukesh Kalla is Head in the Department of Computer Science and
Engineering, at Sir Padampat Singhania University, Udaipur, INDIA.
He got Bachelor of Engineering, M.Tech. and Ph.D. degree in computer
science and engineering. He has total 1 8 years of Teaching Experience. He is
Associate member of Institute of Engineer and Life member of Indian society
for technical education. He is Senior member of IEEE and chair of IEEE
student branch at SPSU. He is also CCNA Instructor Trainer of Cisco Network
Academy. He is data science certified from IBM.
His work spans areas in Machine Learning, Image processing, Wireless
Networks, Theory of computer science and Natural language processing. He
Published number of research papers in peer reviewed Journals and
international /national conferences.
Email:
Address:Bhatewar, , Udaipur, Rajasthan, India, 313601
Prof(Dr.) SP Harsha of Indian Institute of Technology, Roorkee
Supervised Machine Learning Technique
Dr. Harsha Sir discussed about industry 4.0 fourth revolution of the manufacturing industry. He talked about sensor automation. He explained machine learning process and supervised, unsupervised and reinforcement learning techniques. And types of Machine learning problems. He described algorithm selection & training and very well explained the making predictions to extract the feature. And model selection and tuning,hyper parameters, support vector machine is very well mathematically explained by Dr. Harsha. Dr. Harsha explained the failure of response analysis
Biography:
Dr. SP Harsha Sir is Professor in the deptt. of Mechanical and Industrial Engineering at IIT, Roorkie. His areas of interest are Machine Learning and Soft Computing Methods, Condition Monitoring of High Speed Ball Bearings, Rail Vehicle Dynamics and Whole Body Vibrations, Carbon Nano Tube based Mass Sensors and Dynamics of Smart Structures. He works as a Post-Doctoral Fellow under US Defense Project (ONR) at Villanova University, Philadelphia, USA, 2006 – 07 He received PhD in Nonlinear Dynamics & Control from Mechanical Engineering Department , (BITS), Pilani, India, 2004. He is completed ME (Thermal Engineering) and BE from MBM Engg. Clg, Jodhpur.
He worked as Associate Professor, Department of Mechanical & Industrial Engineering, IIT Roorkee, from October 2012 to December 2018.
He works as Assistant Professor, Department of Mechanical & Industrial Engineering, IIT Roorkee, from May, 2007 to September 2012. He was associated with three international Collaboration Project 1. Collaborative Research in the field of Sound and Vibrations. Funding Agency:European Commission Asia Link Project, EC , 2007-2010 2 Influence of Low Frequency Vibration on Activity Comfort while Travelling by Railway Vehicles, Funding Agency: Sweden International Developing Agency (SIDA), Sweden 2007-2010 3. Indo-US Science and Technology Forum (IUSSTF) Indo-US project on “Elasto
hydrodynamic Lubrication Contact” 2014-2015 He is also associated with 18 projects funded by Government of India and 3-projects funded by Private organizations. He has published 132 research papers in International Journals, 4 book chapters and 97 International/National Conferences.
Email:
Address:IIT, Roorkee, , Roorkee, Uttaranchal, India, 247664