Biomedical Engineering Summer School

22 August to 9 September 2022 at Jade University

Organised by Jade University - Department of Engineering Sciences and International Office


The Department of Engineering Sciences and the International Office of Jade University offer a three-week summer school in Biomedical Engineering.  The summer school covers three course lanes focusing on ”Applied Artificial Intelligence”,  “Basics of Biomedical Engineering” and ”Biomedical Signal and Image Acquisition, Processing and Analysis”.

Our ageing human society puts severe constraints on health care systems with regard to the demands of costs, quality, and personnel. There is a growing need for innovative medical technology solutions. Implementation of the latest technology will have a significant impact on future medical care, diagnosis, and the alleviation of diseases. Technical innovation can also provide solutions such as telemetry, distant-virtual consulting and checking, the automation of processes, and robot technology. Intelligent implants that use new design methods, materials, and software can keep patients mobile and fit as long as possible. Early recognition using accurate diagnostic equipment that employs imaging techniques, lab-on-chip analysis, and advanced sensors can reduce treatment costs and improve recovery rates. As one of the consequences, medical care could be provided at home, instead of in a hospital, thus for instance reducing costs.

The aim of the course is to provide an introduction to the multidisciplinary field of Biomedical Engineering by examining the basics of the development of medical devices in general. Focusing on applications for medical technologies, biosensors and their electronic systems, biosignal and image processing and the simulation of biomechanics, also in combination with artificial intelligence, these complex contents are developed in lectures, lab work and field trips. The multicultural focus of the course is intensified by the presence of an international lecturing staff drawn from several centers of excellence in the field of biomedical engineering. Another key learning outcome of this course is provided by the interaction of international students in group-based projects and organized social events.

The summer course covers the above named three course lanes. Two of them are addressed to undergraduate students, while the other requires a Bachelor’s degree and is part of Master studies of Jade University and the partner institutions. It is strongly recommended that students do not change the lane.

The course language is English. The presence of teachers as well as students from foreign countries requires the use of a shared language as the basis of everyday communication and interaction, and gives better motivation than a language course at a home university ever could. 

This annual summer course is a regular part of the Bachelor of Biomedical Engineering and Master of Electrical Engineering programs at Jade University, and is accepted by our partner universities.

Preliminary Schedule

Biomedical Engineering Summer School Wilhelmshaven 2022
DateLane A
Applied Artificial Intelligence
(Undergraduate students)
Lane B
Fundamentals of Biomedical Engineering
(Undergraduate students)
Lane C
Biomedical Signal and Image Acquisition, Processing and Analysis
(Graduate students)
22.08.MonWelcome - Workshop "German Language and Culture" - Introduction to courses (afternoon session)

Introduction to Artificial Intelligence
(Chiaradia Masselli)

H415 (PC-Lab)

Smart Materials in Biomedical Engineering

H211 / H213 (PC-Lab) / Lab

Amperometric Biosensors and Related Electronics
(Çökeliler / Koçum)

H212 / H311 (PC-Lab) / Lab

SatSaturday: Excursion to Bremen
Sunday: Boulder Hall Oldenburg
Friday till Sunday: Harbour Food Market on Valoisplatz in Wilhelmshaven

Biomedical Image Processing

H415 (PC-Lab)


H213 (PC-Lab) / Lab

Instrumentation, Acquisition and Signal Processing for Biosignals

H212 / H311 (PC-Lab) / Lab

FriFriday: Stand Up Paddling Banter See
Saturday: Leisure Activities at the South Beach in Wilhelmshaven
Friday till Sunday: Living Statues Festival in the city of Wilhelmshaven

Biomedical Applications of Machine Learning

H211 / H213 (PC-Lab) / Lab

Biomedical Image Processing Basics and Practical Applications

H213 (PC-Lab)

Embedded Systems

H212 / H311 (PC-Lab)

09.09.FriPresentations of project results (all courses together) - Student evaluation
Final Award Presentation

Course Abstracts

In this year's summer course we offer two courses for undergraduate students (Lane A and B) and one course for graduate students (Lane C). Please find the respective course descriptions in the following tables:

Lane A: Applied Artificial Intelligence

Introduction to Artificial Intelligence

Prof. Dr. Yvo Marcelo Chiaradia Masselli

The Introduction to Artificial Intelligence (AI) course aims to present an overview of the field of AI, the main techniques and algorithms involved in real applications.

The course combines theoretical sessions, computer simulations and covers the following topics:

  • Fundamentals of Artificial Intelligence.
  • Knowledge representation.
  • Informed and uninformed search methods.
  • Fuzzy logic and fuzzy controllers.

In the end, the student should be able to understand and develop a solution based on the learned algorithms. These will serve as the basis for subsequent lectures on the AI ​​course track.


Biomedical Image Processing

Dániel Kiss

This is an introductory course in the fundamentals of biological and medical imaging and image processing, including pre-processing and enhancement techniques, filtering, object detection, and image segmentation.

Participants will learn the basics of digital imaging and will gain experience in Python’s image processing abilities. We are also going to meet CellProfiler, an open-source application for batch processing, measuring, and analyzing images. We will see how to use them via real-life examples of various biological experiments covering the following topics.

Course topics:

  • Fundamentals of image acquisition and image processing
  • Intensity-based methods: histogram correction and thresholding
  • Classical filters: smoothing, sharpening, edge enhancement
  • Image segmentation and object identification
  • Working with multi-channel images, measuring colocalization


Biomedical Applications of Machine Learning

Dr. Gábor Kertész

The goal of the lectures is to provide an introduction to image recognition with neural networks, both is theory and in practice.

The course starts with a basic introduction to the fundamentals of image recognition using neural networks. On the practical side, Tensorflow and Keras is introduced as the most common frameworks used by machine learning engineers.

During the course the students will get an understanding on how Neural Networks are trained, evaluated, and what common problems could occur. After introducing Convolutional Neural Networks, classical architectures are analysed along with modern, state-of-the-art solutions and techniques, which improve the performance of neural networks.

Course topics:

  • Regression and classification in fully connected networks
  • Handling image data
  • Convolutional Neural Networks
  • Classic architectures and techniques
  • State-of-the-art solutions and approaches to increase performance
  • Hands-on with Tensorflow and Keras

Lane B: Fundamentals of Biomedical Engineering

Smart Materials in Biomedical Engineering

Prof. Dr. Hilal Göktaş

Progress in physics and chemistry over the past century has greatly increased the production of new types of synthetic materials. The development of new materials is governed by societal needs and the availability of resources, however, the acceptance and dissemination of a material often depends on its cost. In light of this, the course aims to present an overview of materials/bio-smart materials, their synthesis and their applications in Biomedical Engineering field, and having laboratory work for the characterizations of bio-smart materials with existing analytical devices in the lab (FTIR, UV-visible and SEM). Students will be able to identify materials/bio-smart materials and have hands-on experience on several analytical devices.

Outline of the course:

  • Introduction to materials and bio-smart materials
  • Synthesis of bio-smart materials
  • Characterizations of bio-smart materials
  • Application of bio-smart materials in Biomedical Engineering



Prof. Dr. Olena Kuzmicheva

Development of assistive robotic devices for persons with motor disabilities is a challenging task. Besides development of autonomous task execution by robotic devices, the problem of robot system control by the user arises, when usual interaction modalities like mouse or joystick cannot be used due to physical restrictions of the person. New modalities become necessary to command the robotic system hands-free. The course introduces different aspects of hands-free control with focus on Brain Computer Interfaces (BCI) as one of possible input modalities. The participants will learn basics of non-invasive BCIs including different aspects of signal processing and directly apply the achieved knowledge in the practice. Therefore, the course combines theoretical sessions with programming units and experiments in the lab and reflects following topics:

  • Introduction to hands-free control and different input modalities
  • Electroencephalography (EEG), EEG based BCIs as input modality, useful features and BCI paradigms
  • Selected topics of signal processing for EEG based BCIs
  • Application of BCI to (robotic) system control
  • Design and implementation of a small scale BCI controlled application.

The course addresses undergraduate students in engineering and computer science. Medical background is not required.


Biomedical Image Processing Basics and Practical Applications

Prof. Dr. Ziya Telatar

The goal of the course is to introduce some problem domains in imaging, basics of the image analyses and some main solution techniques in spatial or frequency domains.

Course topics:

  • Why image processing, problems in image acquisition, understanding the images
  • Medelling the image degradation, processing domains for two dimensional signals
  • Enhancement and filtering techniques in spatial and spectral domains, applied study in MATLAB
  • Feature extraction and segmentation, applied study in MATLAB
  • Machine learning techniques in image processing

    Lane C:     Biomedical Signal and Image Acquisition, Processing and Analysis

    Amperometric Biosensors and Related Electronics

    Dr. Cengiz Koçum, Prof. Dr. Dilek Çökeliler Serdaroğlu

    Biosensors are used to detect biological or chemical markers (bio-chemicals, DNA, protein, cells etc.) in order for diagnosis, environmental monitoring and pharmaceutical research. This course represents the fundamental science and engineering concepts of designing biosensors through a common example. Biosensors have three main parts; biorecognition layer, transducers and electronics and they usually produce an electrical signal related to the specific analyte. In this course with lectures and practical exercises students will design and implement the main parts of an amperometric biosensor capable of glucose monitoring. Students will gain an insight of the complexities and design principles of a biosensor from scratch.

    Course Outline:

    • Introduction to biosensors and nanobiosensors
    • Types of biorecognition elements
    • Surface functionalizing and modification approaches for biosensors
    • Transducer Basics: Sensors and Actuators
    • Signal acquisition and conditioning principles
    • Amperometric glucose biosensors
    • Design and production of glucose sensing layer
    • Signal conditioning for the amperometric glucose biosensor
    • Electronic circuit and PCB design.
    DateCourse Syllabus
    1Fundamental concepts of biosensors and related electronics
    2Design, production and pre-tests of biorecognition part of the biosensor
    3Design, implementation and tests of transducers and electronics part of the biosensor
    4Integration of biorecognition layer and electronic parts and application of the biosensor


    Instrumentation, Acquisition and Signal Processing for Biosignals

    Dr. Mehmet Yüksekkaya

    Biomedical signals are used to obtain crucial information about human health for diagnosis and treatment follow up. Acquiring biosignals from human body to a computer system is called biosignal acquisition and conditioning. For signal acquisition and conditioning, appropriate electronic instrumentation should be designed. In order to extract the crucial information from the acquired data, it should be processed.

    This course is designed to be a practical introduction for all those stages. Students will design a basic instrumentation circuitry to acquire a specific biosignal and learn the fundamentals of signal conditioning. Further, they will learn the essential principles of digital signal processing and will apply those principles in a practical example. After this course, students will get significant theoretical and practical skills for biosignal acquisition and processing.

    Course Synopsis: 

    • Introduction to the design of analog circuits for signal conditioning.
    • Practical design of a biosignal acquisition instrument.
    • Introduction to digital signal processing.
    • Processing of biosignal for feature extraction. 
    DateCourse Syllabus
    1Introduction to biosignal acquisition and digital signal processing theory. Practical introduction to MATLAB and PCB circuit design
    2Design, implementation and tests of a practical biosignal acquisition instrumentation
    3Fundamentals of digital signal processing to be applied for the design
    4Biosignal analysis and feature extraction


    Embedded Systems for Developing Biomedical Applications

    Dr. Gerardo Marx Chávez-Campos

    Nowadays, the “Embedded Systems” and its integration with the “Internet of Things” has become crucial for developing healthcare and industrial applications. Thus, to understand the developing process of apps on the embedded system that uses as the central operative system “Linux” are fundamental. Even more, this first approach to the most used operative system on servers, supercomputers, and single devices will guide the student to understand the complete integration of hardware electronics and code for developing from simple to complex tasks.

    During the course, the student will realize by doing the fundamentals of how to work on the embedded board by accessing hardware, input/output digital ports, read the digital to analog converters. Then, the student will create an application to read and log data into structured frameworks. The registered data will be processed and analyzed using Python.

    Course Synopsis: 

    • Introduction to the beagle bone boards
    • The beagle software
    • Developing basic applications
    • The Linux file system
    • Interfacing electronics
    • GPIO interfacing
    • Internet of things
    • A final project
    DateCourse Syllabus
    1Introduction to the beagle boards and basic applications
    2Control versions and interfacing electronics
    4A final project

    Costs and Facts

    Background Information

    Target group: Undergraduate students of engineering after 2 years of study (lane A and B) and graduate students of engineering (lane C)

    Course credits: up to 6 ECTS credits

    Location: Jade University in Wilhelmshaven, northern part of Germany

    Time frame: 22 August until 9 September 2022

    Organizer: Jade University, Department of Engineering Sciences and International Office


    1 April until 15 May 2022
    Please use online application form

    Application, Course Fee & Funding

    General course fee: 500,- €

    International students (free movers):
    All international students can apply for scholarships and have to submit the following documents by e-mail to Iris Wilters:
    Statement of motivation, curriculum vitae, passport copy, most recent grades and a letter of recommendation from a professor.
    We will inform you at the beginning of June 2022 whether you are accepted or not.

    Students from partner universities (see list below):
    Ask your local coordinator to sign up. She/he will tell you about the special costs which your group of students will have to pay.
    Please send a statement of motivation, curriculum vitae, passport copy, most recent grades and a letter of recommendation from your local coordinator by e-mail to Iris Wilters.

    Students from Jade University:
    Students from Jade University have to be registered for autumn semester 2022/23.  
    Ask the organisation team in Wilhelmshaven for further information and course fees.

    Students from abroad may be eligible for a scholarship and will be informed about the possibilities after having handed in their complete application documents.

    If you have any questions please contact our International OfficeIris Wilters.

    Board & Lodging

    We will book a shared room on a houseboat for you, including breakfast (costs to be determined). If you wish to stay in a single room, we recommend to look for a hotel room.

    Please note that there are no cooking facilities on the houseboat. You can obtain a low-cost lunch in the university canteen. For dinner you will have to go to restaurants or buy snacks.

    Insurance and COVID-19

    Please note the general conditions for participation under the COVID-19 pandemic restrictions:

    1. Full COVID-19 vaccination (+ preferably booster) is required (accepted vaccines are Biontech/Pfizer, Moderna, AstraZeneca and Janssen-Cilag, for detailed information see the Paul-Ehrlich-Institut website). A list of licences for third countries is also available there. Proof of complete vaccination protection must be presented at the International Office of Jade University upon the start of the course.
    2. All students must accept the regulations for wearing mouth-nose protection (e.g. FFP2 mask) while on campus, including during laboratory work and lectures.
    3. Sufficient health insurance cover is a prerequisite for participation in our Summer School; accident and liability insurance is also strongly recommended.

    Jade University does not provide insurance cover for students.

    Please note the special travel regulations for entering Germany/EU and check the conditions of your health and travel insurance, especially for COVID-19.

    Partner Institutions

    Baskent University Ankara (Turkey)
    Prof. Dr. Dilek Çökeliler
    Dr. Cengiz Koçum
    Prof. Dr. Ziya Telatar

    Ankara University (Turkey)
    Prof. Dr. Hilal Göktaş
    Dr. Mehmet Yüksekkaya

    Instituto Nacional de Telecomunicações - Inatel (Brazil)
    Prof. Dr. Yvo Marcelo Chiaradia Masselli

    Morelia Institute of Technology (Mexico)
    Dr. Gerardo Marx Chávez-Campos

    Óbuda University (Hungary)
    Dr. Gábor Kertész
    Dániel Kiss

    St. Istvan University (Hungary)
    Dr. Miklós Daróczi


    The online application will be available from 4 April to 15 May 2022. Students from abroad may also apply for a scholarship until 15 May 2022.

    If you have any questions, please contact our International Office, Iris Wilters.

    Participating Partners

    Baskent University

    Biomedical Engineering Department
    Ankara, Turkey

    Ankara University

    Ankara, Turkey

    Óbuda University

    Budapest, Hungary

    Jade University

    Wilhelmshaven, Germany