Congratulations to our newest IEEE Senior Members: Stephen McAleavey (University of Rochester), Andreas Savakis (RIT), Yu Kong (RIT), Christine Frayda (Friday Path), and Eric Brown (Sanatela Medical and SanaBit Technologies).
Cristiano Tapparello, research assistant professor of electrical and computer engineering, who also serves as the director of software engineering for the innovative UR Health Lab led by chemical engineering alumnus Dave Mitten ’88 ’92(MD), spent some long hours back in March helping the lab develop the chatbot technology now familiar to many of us as Dr. Chatbot, which enables the University to screen its employees daily for symptoms of COVID-19.
Initially devised to screen incoming calls to the Medical Center’s COVID-19 Hotline, the technology was then adapted to also screen essential Medical Center employees during the lock down. That iteration of Dr. Chatbot is now being extended to non-Medical Center employees and students as well.
The technology now has been further adapted so that citizens throughout our 13-county region can voluntarily respond daily to a brief questionnaire about whether they have symptoms, as part of the ROC Covid-19 project. This will be an important tool to help regional health officials quickly detect any uptick in cases — within individual zip code areas — as the region continues a phased reopening of businesses and other activities. Please consider participating in this daily screening as well; with enough participation, we lessen the chances of having to shut down the entire region again.
Cristiano, the front end designer for the interactive displays you see at these chatbot sites, has also been working with Mt. Hope Family Center research associate Christie Petrenko to create the first mobile phone app for caregivers of children with fetal alcohol spectrum disorders (FASD).
(From Hajim Highlights, published by the University of Rochester, 22 June 2020)
If you need to hold office hours in these days of distancing, and your on-line meeting service has a “waiting room” feature, then you can create a recurring meeting for your office hours and send the access information to your students. Then start the meeting and admit your students one at a time from the waiting room to the office hours meeting, waiting for each to leave before admitting the next.
This same tip could be used if your job requires you to consult with a large number of your colleagues and you need some time for your own work.
The winner of the IEEE Rochester Section, RES Scholarship for 2020, is Madeline Loui. Madeline is a Junior at Georgia Institute of Technology with a 4.0 GPA, who is majoring in Electrical Engineering. She began distinguishing herself with a summer internship at RIT while still in high school, by writing software to analyze images of an ancient map to reveal hidden content.
At GIT, Madeline has worked with NASA Goddard Space Flight Center on several projects, including developing custom hardware and software for a satellite-based object recognition system using a convolutional neural network and a stereo vision algorithm. She worked with Northop Grumman on standardized data validation software, as well as security software. In the classroom, Madeline has served as a teaching assistant in a digital design lab, providing mentoring and technical assistance for 30 students. Professionally, she is serving as the Chair of the Atlanta, Georgia chapter of Women in Electrical and Computer Engineering Industry, as the point of contact for faculty, industry sponsors, and social media outreach.
George Klimiashvili, a recent University of Rochester graduate, said,
“One of the proudest moments of my college career and my life in general was getting published in the IEEE conference as a first author.”
George is a recipient of The Charles L. Newton Prize, which recognizes engineering students who show a special proficiency in an engineering subject and have conducted research, given a presentation, or published a paper.
Here is the reference to George’s paper: G. Klimiashvili, C. Tapparello and W. Heinzelman, “LoRa vs. WiFi Ad Hoc: A Performance Analysis and Comparison,” 2020 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA, 2020, pp. 654-660, doi: 10.1109/ICNC47757.2020.9049724.
Congratulations to Greg Gdowski, IEEE Region 1 Vice Chair, Director-Elect, and past Rochester Section Chair, on his selection to be a Fellow of the Association for the Advancement of Medical Instrumentation (AAMI).
The Rochester Signal Processing Society hosted a virtual zoom session on Thurs, April 30th entitled “Fast Deep Learning Prototypes with Tensorflow and Keras Tutorial”, by RIT PhD student Miguel Dominguez. 63 people registered for this hour-long session which included the distribution of iPython notebook sample code and deep learning software installation instructions. This tutorial was very well attended, in spite of being held, non-traditionally, via Zoom.
Deep Neural Networks (DNN) are a powerful tool for computer vision, signal processing, and natural language processing tasks. The last few years have seen the development of a plethora of software tools for the development of DNNs. This tutorial discussed using Tensorflow 2.0 with the Keras API to enable rapid prototyping of DNNs with a minimum of code. All software is free open-source code. The tutorial demonstrated how to get several variants of Convolutional Networks up and running, for training, prediction, and logging.
Miguel Dominguez is a PhD candidate in Engineering at Rochester Institute of Technology, set to graduate in the summer of 2020. His research interests include graph and point cloud neural networks as well as speech processing.
The TensorBoard dashboard pictured here shows the performance of models as they are being trained.
Two of our members, Sreeram Dhurjaty and Mark Schrader, helped judge entries in the 2020 Terra Science and Engineering Fair. Due to the COVID-19 shutdowns and the need for physical distancing, the entrants used electronic communications to present their work to the judges, who participated from as far away as Texas. More than 50 students, from 19 schools and homeschooling in Monroe, Ontario, and Wayne counties, entered with impressive projects. The judges awarded six “Highest Honor Commendations” to these projects: “Watching our Water 2.0”, “A Comparative Analysis of Underactuated 3D Printed Hands”, “Bridges”, “SODIS Method”, “The Effects of K-12 Bliss on Antibiotic Resistant Organisms”, and “Green Tea as a Preventive Measure Against Disease Pathways Originating in the Oral Cavity”.
On behalf of the Region 1 Awards and Recognition Committee, I am pleased to inform you of the following 2018 IEEE Region 1 Award Rochester Section recipients. All recipients have been notified. Please feel free to congratulate the following individuals for their dedication and service to IEEE.
Cristian A. Linte
Outstanding Teaching in an IEEE Area of Interest (University or College) Award
For contributions to the biomedical engineering profession and to educating and training future generation of engineers, in particular, to the field of medical image computing, modeling, and visualization for computer-aided diagnosis and image-guided surgery
Technological Innovation (Academic) Award
For contributions in computer vision and data mining
Region 1 Awards and Recognition Chair