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Speakers

Dr. Umair Akram
Post Doctoral Researcher, Guanghua School of Management, Faculty of Economics and Management, Peking University, China
Research interest: Consumer Behavior, Social Commerce, Mobile Commerce, Online Marketing, Impulse Buying Behavior

Dr. Asish Law
Samueli Computer Science, UCLA, USA
Speech topic: AI Innovation in the Field of Education
Asish received BS in Electronics from the Indian Institute of Technology, Kharagpur, and MS/Ph.D. degrees in Computer Information Science from The Ohio State University, Columbus. From 1997 to 2004, he was a visiting Computer Science professor at UCLA and USC and is continuing to teach at UCLA since 2019. Dr. Asish Law brings 25 years of industry experience as a developer, analyst, product manager, and CTO with several Fortune 100 companies like Disney, Hilton, Bank of America, Bank of Montreal, and Farmers Insurance, among others. His keen focus on product quality, automation, and “green” solutions has helped several startups advance from angel-funded to fully-marketable products. Lately as a Global Educator, he has designed several courses to train instructors in the field of Education and AI, NLP, among serval others. Asish continues to be a serial entrepreneur having founded and delivered various innovative software products and startups.

Dr. Joaquín Blaum
Department of Economics, Boston University, USA
Speech topic: Introduction to International Trade: Perspectives on Recent Trade Policy and Challenges to the WTO
Joaquín Blaum’s areas of research are international trade and macroeconomics. His work focuses on how heterogeneity matters for macroeconomic outcomes. Joaquin’s recent research studies how sourcing of foreign inputs affects firm and aggregate productivity. In ongoing work, he shows that the interdependence between firms’ import and export behavior is key to understanding how economies adjust to large devaluations. In earlier work, Joaquin studied the effects of wealth inequality on aggregate productivity when financial markets function imperfectly.
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