AMA (Ask me Anything) with Prof. Ethem Alpaydın

#siliconvalley #generativeAI #computationalIntelligence
Share

Synopsis:
Please feel free to check out the work and thoughts of Prof. Ethem Alpaydın, Ph.D., https://mitpress.mit.edu/author/ethem-alpaydn-10375/ on Google Scholar at https://scholar.google.com/citations?user=lXYKgiYAAAAJ&hl=tr and generally on the Internet.

Then, please feel free to submit your questions to Prof. Ethem Alpaydın

  • via Twitter by using the hashtag #ProfAlpaydinAMA and tagging @vishnupendyala
  • emailing vspendyala(at)hotmail(dot)com with #ProfAlpaydinAMA in the subject

Selected questions will be answered by Prof. Alpaydin during the session. The audience may be able to ask follow-up questions during the session, using the Chat feature.

By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing.


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar

Loading virtual attendance info...

  • Contact Event Hosts
  • Co-sponsored by Vishnu S. Pendyala, SJSU
  • Starts 05 February 2026 08:00 AM UTC
  • Ends 02 April 2026 07:00 AM UTC
  • No Admission Charge

  Speakers

Dr. Vishnu S. Pendyala of San Jose State University

Topic:

Moderator

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the Santa Clara Valley Chapters of IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6, and a Distinguished Contributor of the IEEE Computer Society. As a past ACM Distinguished Speaker, researcher, and industry expert, he gave  nearly 100 talks and tutorial sessions in various forums such as faculty development programs, the 12th IEEE GHTC, IEEE ANTS, 12th IACC, 10th ICMC, IUCEE, 12th ACM IKDD CODS and 30th COMAD to audiences at venues such as Stanford University, Google, University of Bolton, Computer History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala served on a US government's National Science Foundation (NSF) proposal review panel in 2023. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention.

Address:One Washington Sq, San Jose State University, San Jose, New York, United States, 95192-0250

Prof. Alpaydın

Topic:

AMA - Ask me anything

Biography:

Ethem Alpaydin received his PhD from EPFL, Switzerland, in 1990 and was a postdoc at ICSI, Berkeley, in 1991. He taught at Bogazici University (1991-2019) and Ozyegin University (2019-2026), both in Istanbul, Turkey. He was a Fulbright Scholar in 1997. He had visiting researcher positions at MIT (1994) and Idiap, Switzerland (1998). He is a member of the Academia Europaea and the Science Academy of Turkey. His books, Introduction to Machine Learning (4th edition in 2020), Machine Learning (extended edition in 2021), and Fundamentals of Probability and Statistics for Machine Learning (2025), were published by The MIT Press; between them, they were translated into Chinese, Croatian, Finnish, German, Japanese, Korean, and Russian. 

Address:Türkiye