Özlem Durmaz Incel

Özlem Durmaz Incel

Galatasaray Üniversitesi

H-index: 32

Asia-Turkey

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

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

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

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

Federated Learning on Edge Sensing Devices: A Review

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

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

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

Galatasaray Üniversitesi

Google Scholar

View Google Scholar Profile

Özlem Durmaz Incel Skills & Research Interests

Wearable Computing

Activity Recognition

Applied Machine Learning

Internet of Things

Edge AI

Top articles of Özlem Durmaz Incel

Title

Journal

Author(s)

Publication Date

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

Diagnostics

Berrenur Saylam

Özlem Durmaz İncel

2024/2/26

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

Nature Human Behaviour

Kenny R Coventry

Harmen B Gudde

Holger Diessel

Jacqueline Collier

Pedro Guijarro-Fuentes

...

2024/1/9

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

Diagnostics

Sumeyye Agac

Ozlem Durmaz Incel

2023/5/26

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

Sensors

Berrenur Saylam

Özlem Durmaz İncel

2023/11/5

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

Ozan Kilic

Berrenur Saylam

Ozlem Durmaz Incel

2023/3/10

Federated Learning on Edge Sensing Devices: A Review

Berrenur Saylam

Özlem Durmaz İncel

2023/11/2

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

Ozlem Durmaz Incel

Sevda Özge Bursa

2023/2/7

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

Annals of Telecommunications

Sevda Özge Bursa

Özlem Durmaz İncel

Gülfem Işıklar Alptekin

2023/11

Evaluation of Deep Learning Models for Continuous Authentication Using Behavioral Biometrics

Procedia Computer Science

Utku Uslu

Özlem Durmaz İncel

Gülfem Işıklar Alptekin

2023/1/1

User Authentication and Identification on Smart Glasses with Motion Sensors

SN Computer Science

Sumeyye Agac

Ozlem Durmaz Incel

2023/9/30

Spatial communication systems across languages reflect universal action constraints

Nature human behaviour

Kenny R Coventry

Harmen B Gudde

Holger Diessel

Jacqueline Collier

Pedro Guijarro-Fuentes

...

2023/12

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

Computers and Electrical Engineering

Sevda Ozge Bursa

Ozlem Durmaz Incel

Gulfem Isiklar Alptekin

2023/7/1

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

arXiv preprint arXiv:2311.07765

Egemen İşgüder

Özlem Durmaz İncel

2023/11/13

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

Proceedings of the Information Society Multiconference, Ljubljana, Slovenia

Berrenur Saylam

Ekrem Yusuf Ekmekci

Eren Altunoğlu

Ozlem Durmaz Incel

2022/10

Human activity recognition with smart watches using federated learning

Tansel Gönül

Ozlem Durmaz Incel

Gulfem Isiklar Alptekin

2022/7/2

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

Sevda Ozge Bursa

Ozlem Durmaz Incel

Gulfem Isiklar Alptekin

2022/3/28

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

Berrenur Saylam

Özlem Durmaz İncel

2022/11/16

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

Computers & Electrical Engineering

Sumeyye Agac

Muhammad Shoaib

Ozlem Durmaz Incel

2021/3/1

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

Balkan Journal of Electrical and Computer Engineering

AKAN Yasemin

AĞAÇ Sümeyye

Özlem DURMAZ İNCEL

2021/10/10

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

IEEE Access

Özlem Durmaz Incel

Seçil Günay

Yasemin Akan

Yunus Barlas

Okan Engin Basar

...

2021/3/2

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

Co-Authors

H-index: 59
Paul Havinga

Paul Havinga

Universiteit Twente

H-index: 47
Anil Vullikanti (V. S. Anil Kumar)

Anil Vullikanti (V. S. Anil Kumar)

University of Virginia

H-index: 46
Cem Ersoy

Cem Ersoy

Bogaziçi Üniversitesi

H-index: 23
Hans Scholten

Hans Scholten

Universiteit Twente

H-index: 16
Hande Alemdar

Hande Alemdar

Orta Dogu Teknik Üniversitesi

H-index: 14
Gulfem Isiklar Alptekin

Gulfem Isiklar Alptekin

Galatasaray Üniversitesi

academic-engine