Özlem Durmaz Incel

About Özlem Durmaz Incel

Özlem Durmaz Incel, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at Galatasaray Üniversitesi, specializes in the field of Wearable Computing, Activity Recognition, Applied Machine Learning, Internet of Things, Edge AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multitask Learning for Mental Health: Depression, Anxiety, Stress (DAS) Using Wearables

Author Correction: Spatial communication systems across languages reflect universal action constraints

FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition

Quantifying Digital Biomarkers for Well-Being: Stress, Anxiety, Positive and Negative Affect via Wearable Devices and Their Time-Based Predictions

Federated Learning on Edge Sensing Devices: A Review

Building lightweight deep learning models with TensorFlow Lite for human activity recognition on mobile devices

User Authentication and Identification on Smart Glasses with Motion Sensors

Personalized and motion-based human activity recognition with transfer learning and compressed deep learning models

Özlem Durmaz Incel Information

University

Position

(Assoc. Prof.)

Citations(all)

5723

Citations(since 2020)

2601

Cited By

4335

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

53

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Özlem Durmaz Incel Skills & Research Interests

Wearable Computing

Activity Recognition

Applied Machine Learning

Internet of Things

Edge AI

Top articles of Özlem Durmaz Incel

Multitask Learning for Mental Health: Depression, Anxiety, Stress (DAS) Using Wearables

Diagnostics

2024/2/26

FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition

arXiv preprint arXiv:2311.07765

2023/11/13

Quantifying Digital Biomarkers for Well-Being: Stress, Anxiety, Positive and Negative Affect via Wearable Devices and Their Time-Based Predictions

Sensors

2023/11/5

Federated Learning on Edge Sensing Devices: A Review

2023/11/2

Building lightweight deep learning models with TensorFlow Lite for human activity recognition on mobile devices

Annals of Telecommunications

2023/11

User Authentication and Identification on Smart Glasses with Motion Sensors

SN Computer Science

2023/9/30

Personalized and motion-based human activity recognition with transfer learning and compressed deep learning models

Computers and Electrical Engineering

2023/7/1

On the use of a convolutional block attention module in deep learning-based human activity recognition with motion sensors

Diagnostics

2023/5/26

Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning

2023/3/10

On-device deep learning for mobile and wearable sensing applications: A review

2023/2/7

Evaluation of Deep Learning Models for Continuous Authentication Using Behavioral Biometrics

Procedia Computer Science

2023/1/1

Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data

2022/11/16

Academic Performance Relation with Behavioral Trends and Personal Characteristics: Wearable Device Perspective

Proceedings of the Information Society Multiconference, Ljubljana, Slovenia

2022/10

Human activity recognition with smart watches using federated learning

2022/7/2

Transforming deep learning models for resource-efficient activity recognition on mobile devices

2022/3/28

Evaluation of Deep Learning Models for Smoking Recognition with Smartwatch and Smartphone Sensors

Balkan Journal of Electrical and Computer Engineering

2021/10/10

DAKOTA: sensor and touch screen-based continuous authentication on a mobile banking application

IEEE Access

2021/3/2

Özlem Durmaz Incel
Özlem Durmaz Incel

H-Index: 24

Context-aware and dynamically adaptable activity recognition with smart watches: A case study on smoking

Computers & Electrical Engineering

2021/3/1

See List of Professors in Özlem Durmaz Incel University(Galatasaray Üniversitesi)

Co-Authors

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