Recent & Upcoming Seminars


Neural Tangent Kernel

Introduction to neural tangent kernel

Paper Review: Multi-modal Self-Supervised Learning for Human Activity Recognition

Review of self-supervised learning for human activity recognition

Paper Review: Lottery Ticket Hypothesis

Review of The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Introduction To Self-Supervised Learning

Re-presentation of Yann LeCun’s AAAI talk and discussion on semi-supervised learning methods.

Adversarial Reprogramming of Neural Networks

Paper Review: Elsayed, G.F., Goodfellow, I.J., & Sohl-Dickstein, J. (2019). Adversarial Reprogramming of Neural Networks. ICLR.

Similarity of Neural Network Representations Revisited

Paper Review: Kornblith, S., Norouzi, M., Lee, H., & Hinton, G.E. (2019). Similarity of Neural Network Representations Revisited. …


Secure and Private AI: Differential Privacy and Federated Learning

An introduction to Differential Privacy and Federated Learning concepts.

Introduction on Electrodermal Activity and Human Physiological Response

Resource-Efficient Computing in Wearable Systems (Presentation)

Practice presentation for SMARTCOMP conference.

Transfer Learning via Learning to Transfer

Machine Learning Beyond Curve Fitting (Introduction to Causality)

Distillation in Machine Learning

Introduction to Adversarial Machine Learning

Master Defense Practice III

Machine Learning in 2018: an overview


Defense Practice II.

Semi-Supervised Learning on Data Streams via Temporal Label Propagation

Defense Practice I.

Wearable Sensors for Human Activity Monitoring: A Review

An introduction to semi-supervised learning.

Introduction to Long Short Term Memory Networks

Defense Practice II

Defense Practice I

Defense Practice

Fluid Intake Monitoring

Cross-Platform Transfer Learning

Stream-PAL (Proximity-based Active Learning)

NN search with KD-trees

L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning

Liquid Intake Monitoring System

Eating Moment Recognition, A Proximity-Based Active Learning Approach

Personalized recommenders

Toward Visual Field Assessment Using Head-Worn Sensing Devices

Cooking Risk Analysis to Enhance Safety of Elderly People in Smart Kitchen

TransNet: An Adaptable Deep Learner for Human Activity Recognition

Stratified Transfer Learning for Cross-domain Activity Recognition


A Conformal Sensor for Wireless Sweat Level Monitoring

Collegial Activity Learning Between Heterogeneous Sensors

Transfer Learning via Dimensionality Reduction

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Performance Prediction for Graph Queries.

Modeling Skewed Class Distributions by Reshaping the Concept Space.

Robust Computational Framework for Sensor-Based Systems in Healthcare

Transferring multi-device localization models using latent multi-task learning

Medical Survey Question Optimization

Structured Perceptron (Part II)

Reliable and reconfigurable framework for physical activity monitoring

Monitoring and Planning Diet Behavior

Assignment Problem (Part II)

Language and Policy Learning from Human-delivered Feedback.

Transportation Problem

Structured Perceptron (Part I)

SmartStuff: A Case Study of a Smart Water Bottle

Assignment Problem (Part I)

Reinforcement learning for diet planning

Graph Coloring and its applications

Hypothesis Testing

Towards Reliable Sensor-Based Wearable Systems for Healthcare (Part 2)

Towards Reliable Sensor-Based Wearable Systems for Healthcare (Part 1)

Convex Optimization II: Gradient descent (Part 2)

Reinforcement learning: Monte Carlo method

Network-based relational knowledge transfer

SVM, TSVM and SVM Tree

Outlier detection and analysis

Active Learning on Time Series Data

Power and Memory Efficient Cascading Binary Classifier for Activity Recognition

Convex Optimization II: Gradient descent (Part 1)

NetSimile: A Scalable Approach to Size-Independent Network Similarity

Approximating weighted vertex cover using linear programming

Randomized 3-approximation MAX-CNF

Active Learning Enabled Activity Recognition

Semi-supervised learning using gaussian fields and harmonic functions



Minimum Makespan Scheduling

Transfer Learning in Decision Trees

Mixture of Experts

Personalized and Context-Based Sensing for Dehydration Monitoring

Data Collection and Language Understanding of Food Descriptions

Convex Sets

Designing and Evaluating Active Learning Methods for Activity Recognition


Using Smart Homes to Detect and Analyze Health Events

Adaptive Model Fusion for Wearable Sensors Based Human Activity Recognition

Random Forrest Algorithm

Recognizing New Activities with Limited Training Data

Cross-people mobile-phone based activity recognition

Introduction to Transfer Learning

Knapsack Problem

Discreted Wavelet Transform

Conditional Random Fields

Bin Packing Problem: Asymptotic PTAS (AA Ch 9)

Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors.

Using Weka Java API

Dietcam: Multi-view food recognition using a multi-kernel svm.

Shortest Super-string Problem 2

Shortest Super-string Problem

A wearable wireless sensor platform for interactive dance performances

K-center Problem

Minimun K-cut Problem

Modeling Physical Activity Behavior Change

Multi-way Cut Problem (Approximation Algorithms)

Efficient graph-based semi-supervised learning of structured tagging models.

TSP Part I (Approximation Algorithms)


Shortest Superstring(Approximation Algorithm)

Set Cover Layering Approach

Investigating the Accuracy of Fitbit Activity Trackers

Hidden Markov Model Part II

Gait Analysis Review

Hidden Markov Model Part I

Identifying Physical Activity Profiles in COPD Patients Using Topic Models.

Set cover Problem

Transfer learning by borrowing examples for multiclass object detection

Introduction of Deep Learning

Predicting daily activities from egocentric images using deep learning.

Ordering points to identify the clustering structure (OPTICS)

Stochastic methods (Simulated Annealing)

Machine Learning Inspired Power Management in Multicore Chips


Health Behavior Models in the Age of Mobile Interventions

Data Collection Tool for Android Wearable and Handheld Devices

derivative free optimization: direction search

Kullback Leibler divergence

Data sensing and analysis: Challenges for wearables,

Approximation Problems (Vertex cover and TSP)

Randomized Algorithms: The hiring problem

The Floyd-Warshall algorithm

AdaBoost.R2 and Two-stage TrAdaBoost.R2 (Transfer Learning for regression models)

Boosting for Regression Transfer

Baum-Welch algorithm

Linear Programming: Introduction, Formulation and Solving

Transfer Learning Algorithms in Wearable Monitoring Platforms

Medication Adherence Assessment Using Wearable Sensors

Edema Monitoring Using Wearable Sensors

Computational Reliability of Mobile Wearable Sensor Networks

Robust Gait Analysis Algorithms with Wearable Sensors

Google Glasses for Visual Field Expansion

Assessing Accuracy Performance of Fitbit Activity Trackers

Confidence-based Multiclass AdaBoost for Physical Activity Monitoring

Viterbi Algorithm

Gamification of Learning and Instruction

Assessing physical activity during pregnancy and postpartum

Set Cover Problem

Gait and Falls

Introduction to Algorithm Complexity

dynamic programming Problem, Knapsack

Network Flow Problem

Chroma: A Wearable Augmented-Reality Solution for Color Blindness

String Matching

Greedy Algorithms

Using Google Glasses Technology for Visual Field Expansion.

MET Calculation using Wearable Sensors.

Hungarian Algorithms

Semi-Learning of Activity Labels in Real-Time using Wearable Motion Sensors.

Patient-Centric On-Body Sensor Localization in Smart Health Systems

Shortest Path Problem