Thursday, July 18, 2019 — 9:00 AM EDT

Candidate: Chung Wai Sandbo Chang

Title: Two-photon and Three-photon Parametric Interactions in Superconducting Microwave Circuits

Date: July 18, 2019

Time: 9:00 AM

Place: EIT 3142

Supervisor(s): Wilson, Christopher C.M.

 

Abstract:

Thursday, July 18, 2019 — 10:00 AM EDT

Candidate: Zongxian Yang

Title: Leveraging RRAM to Design Efficient Digital Circuits and Systems for Beyond Von Neumann in-Memory Computing

 

 

Date: July 18, 2019

Time: 10:00am

Place: E5 4106

Supervisor(s): Wei, Lan

 

Abstract:

Thursday, July 18, 2019 — 1:00 PM EDT

Candidate: Kais El-murtadi Suleiman

Title: Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques

Date: July 18, 2019

Time: 1:00 PM

Place: EIT 3142

Supervisor(s): Basir, Otman

 

Please note that this is a CLOSED examination and as such, those in attendance must sign a non-disclosure agreement.

Tuesday, July 23, 2019 — 3:00 PM EDT

Candidate: Joshua Stephen Reid

Title: Expanding the Microfluidic Design Automation Capabilities of Manifold: Electrophoretic Cross and Time-Domain Simulation

 

Date: July 23, 2019

Time: 3:00PM

Place: EIT 3145

Supervisor(s): Rayside, Derek - Backhouse, Christopher

 

Abstract:

Lab-on-a-chip devices are finding applications in several different fields, from point-of-care diagnostics to genome sequencing.

Wednesday, July 24, 2019 — 10:00 AM to 1:00 PM EDT

After our successful workshop on power system protection, we have decided to organize a tour of EATON's manufacturing plant.

Wednesday, July 24, 2019 — 11:00 AM EDT

Candidate: Hari Govind Vediramana Krishnan

Title: Strong Induction in Hardware Model Checking 

 

Date: July 24, 2019

Time: 11:00 AM

Place: EIT 3145

Supervisor(s): Ganesh, Vijay - Gurfinkel, Arie

 

Abstract:

Monday, July 29, 2019 — 11:00 AM EDT

Candidate: William Mendieta

Title: Thermostatically Controllable Loads for Primary Frequency Control in Isolated Mircrogrids

Date: July 29, 2019

Time: 11:00am

Place: EIT 3142

Supervisor(s): Canizares, Claudio A.

 

Abstract:

Friday, August 9, 2019 — 2:00 PM EDT

Candidate: Haobei Song

Title: From Reinforcement Learning to Approximate Optimal Learning

  

Date: August 9, 2019

Time: 2:00PM

Place: EIT 3145

Supervisor(s): Tripunitara, Mahesh

 Abstract:

Reinforcement learning framework gives no closed form analysis for exploration/exploitation dilemma. As a consequence, there is no general theory to explain data efficiency, which often impacts practical applications of reinforcement learning algorithms.

Monday, August 26, 2019 — 9:00 AM to Friday, August 30, 2019 — 5:00 PM EDT
Thursday, October 3, 2019 — 3:30 PM to 6:00 PM EDT
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