Workshop on Machine Intelligence & Data Science Departments of Computer / Information Science Sri Jayachamarajendra College of Engineering Mysuru 570 006.

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Presentation transcript:

Workshop on Machine Intelligence & Data Science Departments of Computer / Information Science Sri Jayachamarajendra College of Engineering Mysuru Karnataka IINDIA

Salient points Student Strength Faculty Strength Academic Activities Research Activities Recent Initiatives Important Recommendations

Student Strength Strength : – UG (CSE, ISE): =180 – PG (CE, SE): = 42

Faculty Strength Research activity in the department initiated by Dr. K Chidananda Gowda NASA Gadard Space center, NY Strength: 39 – 13 with Ph.D – 03 Submitted – 17 Pursuing Research Guides: 10 Research Scholars (not faculty): – Full time: 04 – Part time: 14

Academic Activities Courses in the Curriculum which supports MI: – Artificial Intelligence – Linear Algebra – Probability & statistics – Neural Networks – Big data Analytics – Data Mining – Digital Image Processing – Natural Language Processing – Information Retrieval – Cloud Computing

Research Activities Research Areas: – Machine Intelligence & Image Processing – Computational Neuro Anatomy – Health Care – Natural Language Processing – Mobile computing – Data Mining & Information Retrieval Publications: – Journals: 66 – Conferences: 124 – Book chapters: 04 Best Thesis award – BITES Research Projects – Microsoft(2), Schneider(1), AICTE(2)

Research Activities Research Fellowships – DAAD Fellowship, Manheim University, Germany – National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey – Center for Computational Intelligence, School – of Computer Engineering, Nanyang Technological University (NTU), Singapore – Laboratory of Biomedical Engineering, Helsinki University of Technology, Finland, under Indo - Finnish cultural exchange programme of UGC, India

Recent Initiatives IOT Lab – Raspberry Pi – Smart phone systems Humanoid project Intelligent component in all IOT apps Fund Support - Microsoft Mobile Innovation project

Important Recommendations Machine learning is a promising area, Adequate labs and software tools are needed in all colleges to enable students develop innovative projects Focus must be towards product development Apps developed must be made available as free open source Faculty training required Mathematics curriculum is not adequate – FDPs are required STTPS are needed to expand its presence in all colleges SJCE can support all the above

THANK YOU