• Hardware Accelerators for Reservoir Computing.

    23rd December, 2019

About DSSE PUBLIC LECTURES

Dhanani School of Science and Engineering (DSSE) at Habib University invites renowned professionals and academics to share their ideas on a wide variety of interesting subjects through its Public Lecture Series. The series aims to enlighten, motivate and stimulate academic debate. Each event is tailored for the general public and encourages participants to think across academic disciplines.

The SSE Public Lecture Series is open and free to attend for the general public. It is hosted at Habib University’s City Campus.

Upcoming DSSE Public Lectures

Hardware Accelerators for Reservoir Computing.

Venue: Tariq Rafi Lecture Hall, Habib University
Time: 5:15 pm – 6:45 pm

Abstract:

Recurrent Neural Networks (RNN) are often used in sequential classification and prediction problems. Deep RNN is another approach to enhance the accuracy of large-scale machine learning applications. However, training a deep RNN is very compute intensive as weights of all the layers are determined in a sequential fashion. A subset of RNN is Reservoir computing (RC). It has emerged as a promising candidate to provide reduced training time with similar accuracy as that of deep RNN. In this talk I will discuss the theory of Reservoir Computing and then discuss my research work in hardware accelerators for RC and their application.

About the Speaker:

Syed Ali Hasnain is working towards a PhD degree in computer engineering at Texas A&M University, College Station, TX. He received his BE degree in Electrical Engineering from National University of Science and Technology, Pakistan. His research interests include Photonic Computing, Reservoir Computing, Machine Learning and Computer Architecture. His industry experience includes working at Intel with iCDG and CSG group. He is a student member of IEEE.

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Location Map

Event Will Be Held At

Habib University City Campus

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Contact info

For inquiries please contact the following:
Habib University
UAN: +92 21 1110 42242 (HABIB)
Email: marketing@habib.edu.pk