The applied goal of my research is to find ways to help in mental health measurement, diagnosis and therapy, using Natural Language Processing, software and algorithms, with cloud-based systems to help automate these tasks.  I also believe that this focused goal will bring new insights and approaches to fundamental issues in Natural Language Processing and AI.   The second major focus is in the understanding of Large Language Models, particularly focused on concepts.

Current projects include:

• Chatbots to help in Smoking Cessation, using Motivational Interviewing
• Passive Mobile Sensing of Anxiety and Depression
• Handsfree Measurement of Cognition in Multiple Sclerosis Patients
• Post-Operative Physiotherapy Support
• Finding Playdate Partners for Children with Autism

The above research program is now 100% of my research activity, with the principal focus on #1.  Previously, my research focus was quite different, dealing with the architecture, Computer-Aided Design and Applications of Field-Programmable Gate Arrays (FPGAs).  You can find a description of that work here:  FPGA Research.