Hasan Tercan

Hasan Tercan

Bergische Universität Wuppertal

H-index: 11

Europe-Germany

About Hasan Tercan

Hasan Tercan, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Bergische Universität Wuppertal, specializes in the field of Applied AI, Smart Manufacturing, Reinforcement Learning.

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

On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning

Industrial Cross-Robot Transfer Learning

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning

Curriculum Learning In Job Shop Scheduling Using Reinforcement Learning

schlably: a Python framework for deep reinforcement learning based scheduling experiments

Reducing the Sim2Real-gap in extrusion blow molding using random forest regressors

Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis

Hasan Tercan Information

University

Position

Scientific Researcher

Citations(all)

501

Citations(since 2020)

471

Cited By

130

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Bergische Universität Wuppertal

Google Scholar

View Google Scholar Profile

Hasan Tercan Skills & Research Interests

Applied AI

Smart Manufacturing

Reinforcement Learning

Top articles of Hasan Tercan

Title

Journal

Author(s)

Publication Date

On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning

ESSN: 2701-6277

Constantin Waubert de Puiseau

Lennart Zey

Merve Demir

Hasan Tercan

Tobias Meisen

2023

Industrial Cross-Robot Transfer Learning

Procedia CIRP

Christian Bitter

Jannik Peters

Hasan Tercan

Tobias Meisen

2023/1/1

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes

Procedia CIRP

Yannik Hahn

Robert Maack

Guido Buchholz

Marion Purrio

Matthias Angerhausen

...

2023/1/1

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning

Hasan Tercan

Tobias Meisen

2023/8/6

Curriculum Learning In Job Shop Scheduling Using Reinforcement Learning

arXiv preprint arXiv:2305.10192

Constantin Waubert de Puiseau

Hasan Tercan

Tobias Meisen

2023/5/17

schlably: a Python framework for deep reinforcement learning based scheduling experiments

SoftwareX

Constantin Waubert de Puiseau

Jannik Peters

Christian Dörpelkus

Hasan Tercan

Tobias Meisen

2023/5/1

Reducing the Sim2Real-gap in extrusion blow molding using random forest regressors

Manufacturing Letters

Robert F Maack

Constantin Waubert de Puiseau

Anna Sokolova

Haile Atsbha

Hasan Tercan

...

2022/9/1

Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis

atp magazin

Hannes Vietz

Benjamin Maschler

Hasan Tercan

Christian Bitter

Tobias Meisen

...

2022/8/12

Deep learning based visual quality inspection for industrial assembly line production using normalizing flows

Robert F Maack

Hasan Tercan

Tobias Meisen

2022/7/25

Insights and example use cases on industrial transfer learning

Procedia CIRP

Benjamin Maschler

Hannes Vietz

Hasan Tercan

Christian Bitter

Tobias Meisen

...

2022/1/1

Dynamic Storage Location Assignment in Warehouses Using Deep Reinforcement Learning

Technologies

Constantin Waubert de Puiseau

Dimitri Tegomo Nanfack

Hasan Tercan

Johannes Löbbert-Plattfaut

Tobias Meisen

2022/12/11

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer

Journal of Intelligent Manufacturing

Hasan Tercan

Philipp Deibert

Tobias Meisen

2022/1

Machine learning and deep learning based predictive quality in manufacturing: a systematic review

Hasan Tercan

Tobias Meisen

2022/10

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails

Christian Bitter

Hasan Tercan

Tobias Meisen

Todd Bodnar

Philipp Meisen

2021/9/20

Fault detection in railway switches using deformable convolutional neural networks

Robert F Maack

Hasan Tercan

Alexia F Solvay

Maximilian Mieth

Tobias Meisen

2021/7/21

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application.

Hasan Tercan

Christian Bitter

Todd Bodnar

Philipp Meisen

Tobias Meisen

2021/4

A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter

Miguel Alves Gomes

Hasan Tercan

Todd Bodnar

Philipp Meisen

Tobias Meisen

2021/12/20

See List of Professors in Hasan Tercan University(Bergische Universität Wuppertal)