IEEE Global Humanitarian Technology Conference (GHTC)
Technology for the Benefit of Humanity // Santa Clara University, USA / September 8-11, 2022

Workshops 2022

GHTC 2022 will feature a set of interactive workshops on September 8th, 2022, from 9:00 AM – 12:00PM
The workshops are included with full conference registration.


Machine Learning for Social Good


Rakshit Agrawal, Vice President of Research & Development, Camio Inc.
Charles Delahunt, Senior Research Scientist, GH Labs
This session will focus on topics around the applications of machine learning in the social good domains. We will discuss a framework centered around identifying the important societal challenges where problems can be defined for ML capabilities. We then describe the process to develop machine learning models and deploy them in the real world. We will also include case studies of ML driven systems actively being used in real-world scenarios.
The workshop will cover the following: 
  1. Introduction to the concepts and frameworks for developing ML solutions for social good applications.
  2. Interactive session for brainstorming solution design on certain topics
  3. Invited talks (~25 minutes) on key topics, connected together with contextual material, along with Q/A.
  4. Closing, further resources, questions and discussion as wished.

Rakshit Agrawal leads the engineering team at Camio and focuses on Machine Learning and Computer Vision. His expertise spans AI, Machine Learning, Crowdsourcing, HCI, ICTD and AI for Social Good. Rakshit is a trusted subject matter expert and has worked on neural networks, security and AI for Microsoft, Nvidia and eBay. He received his PhD in Computer Science from the University of California, Santa Cruz.

Charles Delahunt has 9 years of experience applying ML to global health projects including malaria diagnosis, vitamin A testing via eye videos, ultrasound, helminth egg detection, and pregnancy risk assessment. He has also held a postdoc in the University of Washington’s applied math department, focused on ML methods.


Building Wireless Sensing Systems (using Infineon IoT Devices)


Patrick Kane, Infineon
In this workshop, you learn how to use low-cost and energy efficient IoT devices for sensing and communication purposes. You will be building sample applications to collect environmental information and transmit them wireless. This three-hour hands-on IoT and sensor workshop will feature the ultra-low power PSoC™ 6(Programmable System on Chip) and ModusToolbox™ software. The workshop will consist of an overview of Infineon’s technology portfolio and continue with hands-on exercises programming the PSoC™ 6 to interface with various sensors and Bluetooth® via your mobile device. The attendees will leave with a knowledge of Infineon products that can be used to create low-power, greener projects and the ModusToolbox™ software design flow. Attendance is limited to 30. As we get closer to the conference date confirmed attendees will receive information on which software to install for the hands-on portion of the workshop.

Why Attend: Infineon is one of the 10 largest semiconductor companies in the world and is the #1  semiconductor supplier to the automotive industry. Infineon has a broad portfolio of electronics that aims to make life greener, safer, and easier. You are (likely to be) already using our products – from the security chip in your credit card to multiple devices in your automobile. Attend the workshop and find out more about them.


How to Become a Consultant


Tom Coughlin, Consultants’ Network of Silicon Valley