Mahdi Pedram, PhD, Computer Engineering, Washington State University (2016-2021)
Mahdi joined Northwestern University, Evanston, IL, as Postdoctoral Fellow in 2022
PhD Dissertation: Designing Resource Efficient Embedded Systems for Health Monitoring
Latest
- Efficient Sensing and Classification for Extended Battery Life
- Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables
- A Survey and Taxonomy of Electronics Toolkits for Interactive and Ubiquitous Device Prototyping
- TinyOL: TinyML with Online-Learning on Microcontrollers
- A Wearable Electrochemical Sensing System for Non-Invasive Monitoring of Lithium Drug in Bipolar Disorder
- LIDS: Mobile System to Monitor Type and Volume of Liquid Intake
- A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia
- NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions
- TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems
- Why Sweat Will Power Your Next Wearable!
- PhD Preliminary Exam Practice Talk #1: Resource Efficient Methods for Health Monitoring Systems.
- Resource-Efficient Computing in Wearable Systems (Presentation)
- Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification (Presentaion)
- PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification
- CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection
- Resource-Efficient Computing in Wearable Systems
- Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
- Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
- Wearable Sensors for Human Activity Monitoring: A Review
- Fluid Intake Monitoring
- Liquid Intake Monitoring System
- Cooking Risk Analysis to Enhance Safety of Elderly People in Smart Kitchen
- A Conformal Sensor for Wireless Sweat Level Monitoring
- Medical Survey Question Optimization
- SmartStuff: A Case Study of a Smart Water Bottle
- A Beverage Intake Tracking System Based on Machine Learning Algorithms, and Ultrasonic and Color Sensors
- A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract
- Personalized and Context-Based Sensing for Dehydration Monitoring
- SmartSock: A wearable platform for context-aware assessment of ankle edema
- Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema