IEEE Saint Louis Section

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February 25th, 2020

Date:             Wednesday, March 11, 2020

Time:            6:00 pm

Where:         MS&T – Rolla, MO

Address:      301 W 16th Street, Rolla MO 65409

Parking:

Park in the parking lot right in front of the EE building (Area L). Parking enforcement is only until 4:30 PM, so no need to use the metered parking.

Room:

EE 237, 2nd floor. Enter the main lobby from parking, take last door on your left, take the stairs up, enter the 1st door on your right.

In addition to conducting some Section business we will also have a special guest speaker, Dr. N. Pappa.  See details below.

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Deep Learning for Control of Bioprocess

Abstract:

The global market demand for many bioproducts has been increasing significantly over the last years due to their application in the human health, food and cosmetics. Hence, the approach to next generation bioproduction has focused on quality of the products and the control of such bioprocesses has gained extensive interest. Most of the study related to applying advanced control and optimization for bioprocess reported challenges in modeling the metabolic reactions associated with the microbial activity requiring state-of-the-art tools for modeling and control.  Due to the uncertainty and lack of knowledge on the system dynamics in many practical bioreactor, the neural network based online closed-loop controller can be employed.

A Deep adaptive online neural network based control scheme that has been proposed for the tracking control of a nonlinear bioprocess with unknown internal dynamics. A feedback linearization controller along with a DNN based function approximation is proposed for a nonlinear lutein production bioprocess. The setpoint trajectory to yield maximum lutein production is efficiently tracked by the proposed online NN based adaptive controller.

Also the Deep neural networks (DNN) based online optimal adaptive control of a class of affine nonlinear systems with uncertain dynamics is introduced. The proposed approach uses two DNNs to solve the optimal regulation over infinite time horizon of nonlinear discrete time systems with known control coefficient matrix and unknown system internal dynamics. With Lyapunov technique, it is shown that all the generated signals are bounded and the estimated optimal control approaches the optimal input with smaller error.

Bio:

Dr. N. Pappa is Professor in the Department of Instrumentation Engineering at MIT Campus, Anna University, India and Currently She is Fulbright Scholar pursuing research under Dr.Jagannathan Sarangapani at Missouri University of Science and Technology on “Deep Learning for Modeling and Control of Bioprocess”.

She holds Ph.D from Anna University and M.Tech from Cochin University. She has excelled in academics throughout and received gold medals in both UG and PG for her academic achievements. She was awarded a project under young scientist FAST TRACK scheme of DST. She has visited foreign countries such as USA, Germany, Australia and Singapore to carry out joint research work and to participate in leading Control Conferences such as ACC, IEEE, IFAC, ALCOSP etc.

Dr. Pappa’s interest includes developing Artificial Neural Network (ANN) based soft sensors, image based measurement, Design of advanced controllers and Realization of soft sensors and controllers in Embedded hardwares.


January 8th, 2020

From the Missouri Society of Professional Engineers (MSPE)

“We have PE refresher courses to help people get through their PE Test every year. The courses will be for Civil Engineering, Mechanical Engineering and Electrical engineering and will start on January 25th of 2020.”  Please see MSPE_2020 for details.


October 28th, 2019

Click on the link below to read an article about the recent IEEE St. Louis Section Black Box Competition.

BlackBox_2019_Section_Report_Revised


October 26th, 2019

The IEEE St. Louis Section November meeting is devoted to Drone Technology!!!!!
Anyone with an interest in Drones is invited to attend.

 

Drones Changing Electric Utility Operations

James Pierce and Rohit Gohil

Ameren Drone Group

Date:              Tuesday, November 5, 2019

Time:              7:00 pm

Where:          St. Louis University (SLU) 3450 Lindell Blvd, St. Louis, MO 63102

Location:       McDonnell Douglas Hall  (Room MDH-1075)

 

The talk will demonstrate how drone technology is changing the utility operations at Ameren.


September 23rd, 2019

This year’s IEEE Saint Louis Section Awards Banquet and Social will be Saturday November 9, 2019.

(It is not too late to nominate someone for a St. Louis Section Award … We will accept award nominations through Friday Sept. 27, 2019!)

 Make your reservations now for the IEEE STL Section Awards Banquet and Social!

************************   EVENT DETAILS   *******************

WHEN:          Saturday, November 9, 2019 (6:00 PM)

WHERE:         Engineers Club of St. Louis, 4359 Lindell Blvd, St. Louis 63108

HOW:            RSVP for the event at info@engineersclub.net

RSVP Required by Nov. 2, 2019!!!

No Charge for IEEE members and family!!!!
A $20 dinner charge for other non-members or no shows.

The Buffet Style Dinner will consist of

  • Hunters Chicken
  • Braised Beef
  • Whipped Potatoes
  • Vegetable Medley
  • Salad
  • Fresh Baked Rolls & Butter
  • Coffee, Tea & Water
  • Variety of pies and cakes for desert!

Include name, age and gender of your child/children who are attending so that they can receive a special gift.  There will be a kid’s room with games and snacks as in past years.

Our keynote speaker will be

Dr. Jie Huang, assistant professor of Electrical and Computer Engineering at Missouri S&T, has performed research in instrumentation and measurement for more than ten years. He received his Ph.D. degree in Electrical Engineering from Clemson University in 2015. His research focuses on the development of optical and microwave sensors and instrumentation for applications in energy, intelligent infrastructures, clean-environment, and biomedical sensing. In particular, he has been working on fiber optic and microwave sensors and instrumentation for applications in harsh environments, integration of additively manufactured parts with sensors, and optical biomedical imaging, sensing, tomography/microscopy, and spectroscopy. Dr. Huang has successfully established the Lightwave Technology Laboratory (LTL) with a strong track record of sustained research funding, high-quality journal publications, and cutting edge research capabilities. In 2019, Dr. Huang established the Missouri S&T Blast Lab (the only lab of its kind in Missouri) for conducting fundamental studies of advanced fiber optic sensors for mitigating traumatic brain injuries from blunt impact force events. Dr. Huang led or participated in many externally-funded research projects include federal agencies such as the National Science Foundation, Army Research Lab, Department of Energy, National Labs, and select private companies, all historical supporters in the arena of advanced sensors.

Fiber Optic Sensors for Industrial Applications

The talk presents Dr. Huang’s recent inventions and breakthrough in the field of fiber optic sensors. The talk will specifically focus on the development of robust and easy-to-manufacture sensors that can be easily commercialized and have great potential for applications in the chemical-oil industry, construction industry, and other industries with harsh environments. The challenges of this interdisciplinary and crosscutting research direction will be discussed, and the potential solutions will be proposed.

 

 

For questions, email sec.stlouis@ieee.org.


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