28^th World Congress on Human Health Metabolism-Cancer, Obesity, and Diabetes November 25-26, 2020 Tokyo, Japan

Baher Effat is a Research Professor of Food and Dairy Microbiology, National Research Centre, Egypt. Over 36 years of experience in Food and Dairy Bacteriology, he shared and supervised over than 6 Master and Ph.D. Thesis in Food and Dairy sciences and more than 62 scientific publications in food and dairy microbiology, functional dairy products , probiotics and propionic acid bacteria and pathogenic bacteria and in Food and Dairy Products. He has shared in national and international programs and projects. He joined many international conferences and workshop, in addition to scientific activities. In addition he awarded for CAS-TWAS Visiting Scholar Fellowship from 03 Aug., 2006 to 31 October 2006.Training of young researchers and lecturers on many science-related subjects; including courses for: Microbiological Analysis of Food, Control of Bacteria, Contamination during Food Process and Isolation and Identification of Microorganisms. He is a member of the Editorial Board of several international journals. He also served as a member of the Organizing Committee in International Congresses. • Member Who's Who in the World. • Member of Organizing Committee for 20th International Conference on Nutrition, Food Science and Technology. April 16-17, 2018, Dubai, UAE. • Member of Organizing Committee for 2nd International Probiotics, Nutrition & Microbiome Conference, October 10-12, 2018, Amsterdam, Netherlands. • Member of Organizing Committee for Bacteriology and Infectious Diseases Congress, January 25-26, 2019, Singapore. • Member of Organizing Committee for Food Technology Conference, October 24-25, 2019, Bangkok, Thailand.

Food and Dairy Microbiology , Functional Foods , Functional Dairy Products ,Probiotics ,Propionic acid bacteria ,Pathogenic bacteria in foods and dairy products.

The author received an honorable PhD in mathematics and majored in engineering at MIT. He attended different universities over 17 years and studied seven academic disciplines. He has spent ~30,000 hours in endocrinology research with an emphasis in diabetes. First, he studied six metabolic diseases and food nutrition from 2010 to 2013, then conducted his own diabetes research from 2014 to 2019. His approach is “quantitative and precision medicine” based on mathematics, physics, optical and electronics physics, engineering modeling, wave theory, energy theory, signal processing, computer science, big data analytics, statistics, machine learning, and artificial intelligence. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have. Thus far, he has written, published, and presented more than 200 medical papers.

Endocrinology research with an emphasis in Diabetes