Coming out of the trades (radio and TV technician) Stephan Hußmann received his ME and Ph.D. from the School of Electrical Engineering and Information Technology at the University of Siegen in 1995, and 2000, respectively. From 1996 to 2000 he worked half-time as a Research Associate at the University of Siegen's Center for Sensor Systems (ZESS) in real-time signal processing, 3D object recognition and multisensor systems. The remaining time he worked as a Development Engineer for Aicoss GmbH in Siegen, developing and implementing innovative optical multi-sensor systems for quality control and inspection.

From 2001 to 2003, he worked as a Lecturer in the Department of Electrical and Computer Engineering in the area of Computer Systems Engineering (CSE) at the University of Auckland in New Zealand. In 2002, he was elected as IEEE Computer Society Chairman, and in 2003, he was elected Secretary/Treasurer and IEEE Computer Society Vice-Chairman by the IEEE New Zealand North Section Committee. For his teaching he received in 2002, the Top Twenty Faculty Teachers award and in 2003, the Best Lecturer-Computer Systems Engineering Department award.

In 2004 he worked for the company PMDTec GmbH as a project leader responsible for the embedded system design for innovative 3D-cameras. Besides he was lecturing in the International Postgraduate Programme (IPP) at the Center for Sensor Systems (ZESS) in the area of embedded control and multi-sensor systems.

Since the end of 2004, Stephan Hußmann has been a full time Professor at the University of Applied Sciences Westküste (FHW) in the area of microprocessor technology and electronic systems. In December 2004 he was one of the Co-Founders of the company “Institute for Applied Technologies and Technical Services” (ITD GmbH). The aim of the company was to offer technically oriented services and advice, training and qualification measures for engineers and to support the technology transfer from the University into the local region. In 2009 he was one of the Co-Founders  of the Machine Vision Technology Institute (Ma.Vi.Tec). The Institute is made up of two separate fields of activity. The industrial sector concentrates on developing, manufacturing and selling  inspection systems and components for optoelectronic quality controlling in the field of (automated-) production and the sientific sector does research in the field of image analysis. In 2012 Ma.Vi.Tec was converted into a commercial company (see eyespec GmbH). In 2011 he founded the  registered association Initiative Bildverarbeitung e.V. where he is still the acting chairman. The Initiative Bildverarbeitung e.V. organizes regular lectures where industry partners and University members come together to discuss potential joint working groups or joint projects. From 2013 to 2016 he was the dean of  the Faculty of Engineering at the West Coast University of Applied Sciences. In December 2018 the FHW start-up naiture® GmbH & Co. KG, based in Friedrichsgabekoog, was founded. The newly founded company belongs to the Westhof Group and is intended to further develop and commercialize the technologies developed by the FHW research group "Digitalization in Agriculture and Forestry" under the direction of Prof. Hußmann.

He has widely consulted with the industry and has more than 100 publications, which include books, book chapters, international patents, and refereed journal and conference proceedings papers. His research interests include machine vision applications, low-cost multi-sensor system design, real-time image processing, embedded systems design and automation in agriculture and forestry applications.

Since 2011 he is a senior member of the IEEE.

Book chapters:

1. Hußmann, S., M. Gonschior, B. Büttgen, C. Peter, S. Schwope, C. Perwass, M. Johannesson and E. Hällstig, "A Review on Commercial Solid State 3D Cameras for Machine Vision Applications", Book "Recent Advances in Topography Research", chapter 11, Nova Science Publishers Inc., ISBN 978-1-62618-840-2, 2013, pp. 303-352.
2. Hußmann, S., Edeler, T. and Hermanski, A., "Real-Time Processing of 3D-TOF Data in Machine Vision Applications", Book "Machine Vision - Applications and Systems", chapter 4, I-Tech Education and Publishing, Vienna, Austria, ISBN 978-953-51-0373-8, 2012, pp. 73-92.
3. Hußmann, S. and Edeler, T., "Robot vision using 3D TOF systems", Book "Robot Vision", chapter 16, I-Tech Education and Publishing, Vienna, Austria, ISBN 978-953-307-077-3, 2010, pp. 293-306.
4. Hußmann, S., Hagebeuker, B. and Ringbeck, T., "A performance review of 3D TOF vision systems in comparison to stereo vision systems", Book "Stereo Vision", chapter 7, I-Tech Education and Publishing, Vienna, Austria, ISBN 978-953-7619-22-0, 2008, pp. 103-120.

Patents:

1. Hussmann, S., Knoll, F. J. and Czymmek, V., "Trägersystem mit einem Träger und einer mobilen Vorrichtung zur Bearbeitung des Bodens und/oder zur Manipulation der Flora und Fauna und Verfahren hierzu", EP3841444 B1 (01.02.2023) DE102018120755A1 und WO 2020/039045 A1(27.02.2020).
2. Hussmann, S., Czymmek, V. and Knoll, F. J., "Mobile Analyse- und Bearbeitungsvorrichtung", DE102018120753A1 undWO 2020/039046 A1(27.02.2020).
3. Hussmann, S., Knoll, F. J. and Czymmek, V., "Mobile Analyse- und Bearbeitungsvorrichtung, Verfahren und Trägersystem", DE102018120756A1(27.02.2020).
4. Hussmann, S. and Hu, A., "Methods and Apparatus for control of Inductively coupled power transfer", EP1634355 B1 (10.10.2018), US 2007/0109708 A1 (17.05.2007), CA2526544A1(21.11.2005) , WO2004/105208A1(2.12.2004), NZ529869(27.11.2003), NZ526115(23.05.2003).
5. Hussmann, S. and Hu, A., "Frequency controller resonant converter", EP1634366 B1 (03.05.2017), US2008/0211478 A1 (04.09.2008), CA2526713A1(21.11.2005) , WO2004/105226A1(2.12.2004), NZ529869(27.11.2003), NZ526116(23.05.2003).

Journal Articles of the last 10 years (out of 24):

1. Czymmek, V., Köhn, C., Harders, L.O., Hussmann, S., "Review of Energy-Efficient Embedded System Acceleration of Convolution Neural Networks for Organic Weeding Robots", MDPI Journal, Agriculture, 13(11), 2023.
2. L.O. Harders, T. Ufer, A. Wrede, S. Hussmann, "UAV-based real-time weed detection in horticulture using edge processing", SPIE Journal, Journal of Electronic Imaging, 32(5), 052405, 2023.
3. Knoll, F., Czymmek, V., Harders, L.O. and Hußmann, S., "Real-time classification of weeds in organic carrot production using deep learning algorithms", Elsevier Journal, Computers and Electronics in Agriculture, Volume 167, 2019.
4. Knoll, F., Czymmek, V., Poczihoski, S., Holtorf, T. and Hußmann, S., "Improving efficiency of organic farming by using a deep learing classification approach", Elsevier Journal, Computers and Electronics in Agriculture, Volume 153, 2018, pp. 347-356.
5. Knoll, F., Holtorf, T. and Hußmann, S., "Hightech-Revolution?", Trade Journal: “Gemüse”, ISSN  0016-6286, June 2016, pp. 50-51.
6. Knoll F., Holtorf T. and Hußmann S.,  "Investigation of different plant root exit point vector search algorithms in organic farming", IEEE Trans. on Instrumentation and Measurement, 65(5), 2016, pp. 1035 - 1041.
7. Heinze C., Spyropoulos S., Hußmann S. and Perwass C., "Automated Robust Metric Calibration Algorithm for Multi-Focus Plenoptic Cameras", IEEE Trans. on Instrumentation and Measurement, 65(5), 2016, pp. 1197 - 1205.
8. Hußmann S., Knoll F. and Edeler T.,  "Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras", IEEE Trans. on Instrumentation and Measurement, 63(5), 2014, pp. 1127 - 1136.
9. Hußmann S. and Hermanski A., "One-Phase Algorithm for Continuous Wave TOF Machine Vision Applications", IEEE Trans. on Instrumentation and Measurement, 62(5), 2013, pp. 991 - 998.

Conference Articles of the last 10 years (out of 69):

1. L.O. Harders, T. Ufer, A. Wrede and S. Hußmann, “Echtzeitfähige Unkrauterkennung in Forstbaumschulen mittels Deep Learning”,  63. Deutsche Pflanzenschutztagung: Pflanzenschutz morgen - Transformation durch Wissenschaft; 26. bis 29. September 2023, - Kurzfassungen der Vorträge und Poster, 2023, pp. 590-592.
2. L.O. Harders, V. Czymmek and S. Hußmann, "Design and Evaluation of a Low-Cost Delta-Robot for UAV-Based Weed Control in Horticulture", Proceedings Volume 12607, Optical Technology and Measurement for Industrial Applications Conference; Yokohama, Japan, 2023, 126070A.
3. V. Czymmek, C. Möller, E. Schacht, L.O. Harders and S. Hußmann, "Autonomous Fawn Tracking System Based on Drone Images and CNNs", Proc. SPIE 12607, Optical Technology and Measurement for Industrial Applications Conference, Yokohama, Japan, 2023, 126070G.
4. S. Hußmann, K. Clausen and L.O. Harders, "Vision-based crop row detection system for UAV-based weed detection in arboriculture", Proc. SPIE 12607, Optical Technology and Measurement for Industrial Applications Conference, Yokohama, Japan, 2023, 1260707.
5. L. O. Harders, V. Czymmek, A. Wrede, T. Ufer and S. Hußmann,"Deep learning approach for UAV-based weed detection inhorticulture using edge processing", Proc. SPIE Vol. 12227, Applications of Machine Learning, San Diego, USA, 2022, 122270R.
6. V. Czymmek, L. O. Harders, F.J. Knoll and S. Hußmann, "Accuracy Evaluation of a Weeding Robot in Organic Farming", 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Ottawa, Canada, 2022, pp. 1-6.
7. V. Czymmek, C. Möller, L. O. Harders and S. Hußmann, "Deep Learning Approach for high Energy efficient Real-Time Detection of Weeds in Organic Farming," 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Glasgow, United Kingdom, 2021, pp. 1-6.
8. L. O. Harders, V. Czymmek, F. J. Knoll and S. Hußmann, "Area Yield Performance Evaluation of a Nonchemical Weeding Robot in Organic Farming," 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Glasgow, United Kingdom, 2021, pp. 1-6.
9. V. Czymmek, R. Schramm and S. Hußmann, "Vision Based Crop Row Detection for Low Cost UAV Imagery in Organic Agriculture," 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020, pp. 1-6.
10. Hußmann, S., Knoll, F.J., Czymmek, V., Meissner, A. and Holtorf, T., "Development and evaluation of a low-cost delta robot system for weed control applications in organic farming", I2MTC 2019, Proc. of the 36th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2019, pp. 1147-1151.
11. Hußmann, S., Wang, Y., Czymmek, V. and Knoll, F.J., "Image matching algorithm for weed control applications in organic farming", I2MTC 2019, Proc. of the 36th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2019, pp. 838-843.
12. Czymmek, V., Harders, L.O., Knoll, F.J. and Hußmann, S., "Vision-Based Deep Learning Approach for Real-Time Detection of Weeds in Organic Farming", I2MTC 2019, Proc. of the 36th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2019, pp. 585-589.
13. Knoll, F., Grelcke, M., Czymnek, V., Holtorf, T. and Hußmann, S., "CPU architecture for a fast and energy-saving calculation of convolution neural networks", Proc. SPIE Vol.10335/Proc. SPIE 10334, Digital Optical Technologies 2017/Automated Visual Inspection and Machine Vision II, 2017, 103351M/103340P.
14. Knoll, F., Holtorf, T. and Hußmann, S., "Modified 3D time-of-flight camera for object separation in organic farming", Proc. SPIE Vol.10335, Digital Optical Technologies 2017, 2017, 103351R.
15. Holtorf, T., Knoll, F. and Hußmann, S., "Multimodal Image Stitching Algorithm for Weed Control Applications in Organic Farming", IEEE Technically Sponsored SAI Computing Conference 2016, 2016, pp. 336 - 342 .
16. Knoll, F., Holtorf, T. and Hußmann, S., "Investigation of Different Sensor Systems to Classify Plant and Weed in Organic Farming Applications", IEEE Technically Sponsored SAI Computing Conference 2016, 2016, pp. 343 - 348.
17. Knoll, F., Holtorf, T. and Hußmann, S., "Vegetation index determination method based on color room processing for weed control applications in organic farming", I2MTC 2016, Proc. of the 33th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2016, pp. 1024-1029.
18. Knoll, F., Holtorf, T., Schmidt, M. and Hußmann, S., "Plant root exit point search algorithm for weed control applications in organic farming", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 18-22.
19. Knoll, F., Holtorf, T. and Hußmann, S., "Fast Correspondence Search Algorithm for Stereo Vision Range Sensors",I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 23-28.
20. Hußmann, S., Holtorf, T. and Knoll, F., "Investigation of different polar to Cartesian coordinate system conversion methods for ToF-cameras in the close-up range", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 1072-1077.
21. Heinze, C., Spyropoulos, S., Hußmann, S. and Perwass, C., "Automated Robust Metric Calibration of Multi-Focus Plenoptic Cameras", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 2038-2043.
22. Edeler, T. and Hußmann, S. , "Uncertainty analysis for optical time-of-flight sensors based on four-phase-shiftrange calculation", SAS 2014, IEEE Sensors Applications Symposium 2014, 2014, pp. 382-387.
23. Hußmann, S. and Sandner, J., "Real-time classification of industrial products based on the photonic-mixer-devicesensor technology", SAS 2014, IEEE Sensors Applications Symposium 2014, 2014, pp. 267-271.
24. Hußmann, S. and Knoll, F.  "Modulation Method for minimizing the Depth Distortion Offset of Lock-in ToF Cameras", I2MTC 2013, Proc. of the 30th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2013, pp. 551-556.

Major projects at the FHW (in total over 7.9 M€)

PhD theses:

1. B. Long, "Study of Multi Resonant Frequency Metal Object Detection Methods for Inductive Power Transfer Systems", University of Auckland, Auckland, New Zealand, external examiner, 2024.
2. Zou, J. L., "Modelling and Analysis of Wireless Power Supply based on Electric Field Coupling", University of Auckland, Auckland, New Zealand, external examiner, 2021.
3. Knoll, F. J., "Echtzeitfähiges Deep-Learning-Klassifikationssystem für die Flora im Bioanbau", West Coast University of Applied Sciences / University of Lübeck, supervisor, 2021.
4. Edeler, T., "Bildverbesserung von Time-Of-Flight Tiefenkarten", ISBN: 978-3-8440-0809-8, Shaker Verlag, West Coast University of Applied Sciences / University of Lübeck, supervisor and second examiner, 2011.
5. Li, H. L.,  "High Frequency Power Converters Based on Energy Injection Control for IPT Systems", University of Auckland, Auckland, New Zealand, external examiner, 2011.

Master theses (only last 5 years):

1. K. S. Shittheswaran, "Survey of state of the art CNNs for weed detection", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2024.
2. M. G. Domche, "Feasibility of Developing a Machine Learning Algorithm to Distinguish Open and Inhabited Areas", West Cost University of Applied Sciences, Heide, first supervisor, 2024.
3. K. R. Krishnakumar, "Development of a Gesture Control System for an Automated Guided Vehicle", REINHOLZ Technologies GmbH, Itzehoe, first supervisor, 2024.
4. Zilske, F., "Deep learning based semantic segmentation of mussel beds in the wadden sea in the North Sea", West Cost University of Applied Sciences, Heide, first supervisor, 2024.
5. Lütt, T., "Creation of an AI-powered image-based application for gearbox damage detection in wind turbines", GP Joule Service GmbH & Co. KG, Reußenköge, first supervisor, 2023.
6. Täuber, M., "Automated plant evaluation and surveillance", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2023.
7. Völckner, J., "Development and evaluation of a laser system for autonomous weed control", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2023.
8. Neddersen, T., "Rapid Adaption Methods of Deep Reinforcement Learning Agents for HVAC Control in Industrial Buildings", West Cost University of Applied Sciences, Heide, second supervisor, 2023.
9. Kempke, J., "Development of an AI controlled table football under the use of reinforcement learning", Hamburg University of Applied Sciences (HAW), Hamburg, second supervisor, 2023.
10. Ebbinghaus, M., "Development and evaluation of Deep Learning algorithms for the segmentation and parameterization of fiducial marks on printed circuit boards", LPKF Laser & Electronics AG, Garbsen, first supervisor, 2022.
11. Möller, L., "Deep learning of object poses with synthetic color images", Basler AG, Ahrensburg, first supervisor, 2022.
12. Marrek, L., "Development of a recommended course of action for the implementation of information security in small and medium-sized enterprises (SMEs) to protect against economic damage caused by cyber attacks", Thales Deutschland, Kiel, first supervisor, 2022.
13. Bueno de Leon, D., "Automated application-specific optimization of parameters for an embedded image processing pipeline", Basler AG, Ahrensburg, second supervisor, 2022.
14. Gehrmann, P., "Development of a field collimation prediction system for chest X-Ray scans using 3D depth data and Deep Convolutional Neural Networks", Philips Medical Systems DMC GmbH, Hamburg, second supervisor, 2022.
15. Möller, C., "Real-time detection of fawns from drone images using Convolutional Neural Networks", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2022.
16. Schacht, E., "Automatic positioning of fawns based on drone images", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2022.
17. Simmroth, M., "Optimisation of an autonomous robotic system for weed control", Naiture GmbH, Friedrichsgabekoog, first supervisor, 2022.
18. Fürstenberg, M., "Estimating the pose of known objects from color images using noisy and sparse depth maps", Basler AG, Ahrensburg, first supervisor, 2022.
19. Müsegaes, N., "Conception and development of a hardware-based trustlet to protect intellectual property during system on chip design flow and lifecycle", NXP, Hamburg, second supervisor, 2022.
20. Jessen, T., "Project planning and integration of a real-time image processing system in a production machine for corona test strips", ISW GmbH, Kölln-Reisiek, first supervisor, 2021.
21. Padberg, K., "Snow cover level determination by digital image processing", Hamburg University of Applied Sciences (HAW), Hamburg, second supervisor, 2021.
22. Schüttler, S., "Patch-Sampling Policies for real-time segmentation of endoscopic image data", UKE, Hamburg-Eppendorf, second supervisor, 2021.
23. Moritz, K., "Concept and Implementation of Obstacle Avoidance in the Path Planning of an Unmanned Ground Vehicle", NXP, Hamburg, second supervisor, 2021.
24. Heiden, N., "Development of a real-time capable CO2 and heat control in a greenhouse for organic farming", Westhof GmbH, Friedrichsgabekoog, first supervisor, 2021.
25. Parche, N., "Coverage-Guided Fuzzing of Embedded Systems", NXP, Hamburg, second supervisor, 2020.
26. Hansen, L., "Development and construction of a GPS-tracker in a low power wide area network for smart security applications", AMS Software & Elektronik GmbH, Flensburg, first supervisor, 2020.
27. Pohlmann, S., "Development of a multispectral and multiconfigurable inspection system", Eyespec GmbH, Heide, first supervisor, 2020.
28. Frisch, J. S., "Development of a localization method based on a stereo camera, machine learning and object detection for autonomous vehicles", Hamburg University of Applied Sciences (HAW), Hamburg, second supervisor, 2020.
29. Rotzlawski, C., "Development of a surrounding sensorbased navigation system for the position detection of autonomous vehicles in indoor areas", Hamburg University of Applied Sciences (HAW), Hamburg, second supervisor, 2020.
30. Metschulat M., "Development of a data computation and storage concept for a time-of-flight LIDAR-System in VHDL", Fraunhofer ISIT, Itzehoe, first supervisor, 2020.
31. Bauerschäfer, C., "Development and evaluation of a Time-to-Digital (TDC) HF-Board for a high resolution Time-of-Flight measurement of a pulsed laser", Fraunhofer ISIT, Itzehoe, first supervisor, 2019.
32. Meyer, J., "Automatic Detection of Solder Joint Defects with Deep Neural Networks", Lufthansa Technik AG, Hamburg, second supervisor, 2019.
33. Lindemann, L., "Conception and development of a FPGA-SoC based system for synchronisation and controlling of broadcast cameras", Dream Chip Technologies GmbH, Garbsen, second supervisor, 2019.
34. Scholz, J., "Development and evaluation of FPGA based real-time compression algorithms used for high-speed 3D-triangulation cameras", AT-Automation Technology GmbH, Bad Oldesloe, first supervisor, 2019.

Bachelor theses (only last 5 years):

1. Meier, S., "Error detection on lacquered surfaces", Eyespec GmbH, Heide, first supervisor, 2024.
2. Rothenbücher, J.E., "Model-based process monitoring and control of a temperature-air control system", West Coast University of Applied Sciences (FHW), Heide, second supervisor, 2024.
3. Schlumbohm, L.J., "Technical implementation of a new live-action game concept", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2024.
4. Quan, S., "Development of a solar-powered, thermo/hydrometer combination measuring device based on the Raspberry Pi Pico Controller", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
5. Al-Abo Ech, M., "Development and testing of a computer/drone interface for data processing and flight control", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
6. Al Zoubi, A., "Implementation of a dual-band GNSS RTK system for precise positioning of drones in horticulture", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
7. Lahrsen, T., "Development and construction of a detection system for remote monitoring of flora and fauna", naiture GmbH, Friedrichsgabekoog, first supervisor, 2023.
8. Hennawi, A., "Development and construction of a computer vision controlled 3D robotic arm", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
9. Eriksson, J., "Automated surface inspection of complex test objects", Eyespec GmbH, Heide, first supervisor, 2023.
10. Pohlmann, A.L., "Evaluation of different concepts for the inspection of undersealed medical packaging", Eyespec GmbH, Heide, first supervisor, 2023.
11. Clausen, K., "Development and testing of an optical method for autonomous drone aerial surveys of seedbeds in tree nurseries", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
12. Bäsecke, N., "Development of an optical velocity estimation method for a carrier platform", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2023.
13. Harslem, M., "Error correction for camera systems", Eyespec GmbH, Heide, first supervisor, 2023.
14. Göremez, G., "Analysis and simulation of energy flows in piston plasticization in injection molding production", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2022.
15. Wu, H., "Detection of beaver ladles with a cascaded classifier on basis of local ternary patterns", West Coast University of Applied Sciences (FHW), Heide, second supervisor, 2021.
16. Radis, P., "Evaluation of the effectiveness of steam and hot water for weed control", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
17. Sawallisch, T., "Selection and evaluation of a special camera for integration into a soldier system", Rheinmetall Soldier Electronics GmbH, Stockach, first supervisor, 2021.
18. Skowronek, J. O., "Evaluation of a Wifi-Bluetooth-Modul with display for the use in the lab microprocessors", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
19. Matalewski, H., "Development of a Raspberry Pi controlled laser engraver", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
20. Völckner, J., "Development and construction of a system for height control of a weeding unit", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
21. Simmroth, M., "Implementation of raytracing algorithms on a GPU", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
22. Funcke, F., "Feasibility analysis of a laser-based weed control system", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2021.
23. Bewarder, T., "Development of a cross-sectional test software for microcontroller based circuit boards", Rheinmetall Landsysteme GmbH, Kiel, first supervisor, 2021.
24. Köhn, C., "A systematic literature review on FPGA acceleration for Convolutional Neural Networks", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2020.
25. Marrek, L., "Setup and development of a GPRS/GPS-Multi_sensor-PCB", naiture GmbH, Friedrichsgabekoog, first supervisor, 2020.
26. Tong, X., "Overview of FPGA based implementations of Convolutional Neural Networks", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2020.
27. Möller, C., "Evaluation of the Deep-Learning-Network MobileNet-SSD on an embedded system", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2020.
28. Kölling, P., "Development of a concept for the quality control of stamped parts on a carrier strip", Eyespec GmbH, Heide, first supervisor, 2020.
29. Rohde, M., "Development of a concept for the quality control of power electronical devices", Eyespec GmbH, Heide, first supervisor, 2019.
30. Schramm, R., "Development of a system for semi-autonomous flying using plant-row detection in organic farming", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2019.
31. Hansen, L., "Development and construction of a low-cost-drone for Smart Farming applications", West Coast University of Applied Sciences (FHW), Heide, first supervisor, 2019.
32. Maschnitza, C., "Development of an image processing QC system for animal food packaging", Eyespec GmbH, Heide, first supervisor, 2019.
33. Bensing, S., "Development of a concept for the optical inspection of medical blister packaging", Eyespec GmbH, Heide, first supervisor, 2019.

Sabbactical
Research & study leave

• Research Fellow in the ECE Department at the University of Auckland, New Zealand. Research topic: Development of a 3D-TOF vison system for autonomous, mobile robot systems (WS 2007/2008).
• Visiting Professor in the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark, UAS Test Center, HCA Airport, Odense, Danemark. Research topic: Development of an image-based tracking algorithm for UAVs in seedbeds of tree nurseries (WS 2022/2023).

The lecture material to the following courses can be accessed via moodle (http://moodle.fh-westkueste.de/).

Postgraduate courses

• Real-time Image Processing:
  This course covers the following topics:
  Introduction to real-time image processing systems, FPGA based real-time image processing systems, real-time image processing algorithms

Undergraduate courses

• Digital Technology / Microprocessor technology:
  This course covers the following topics:
  Number representation, logic minimization, coding, logic circuits using memory, FSM, implementation technology, microcontroller structure
  Introduction to Hardware Modulation Languages (VHDL), storage components (RAM/ROM), AVR microcontroller, serial and parallel interface ICs
• Digital Image Processing:
  This course covers the following topics:
  Image acquisition, image compression, histogram manipulation, thresholding, introduction to digital filters, segmentation
• Digital Systems:
  This course covers the following topics:
  Introduction to embedded systems, design criteria for embedded systems, comparison of current implementation technologies, Syntax notations in VHDL, entity & architectures, logical operators, signal delays and structural hazards, processes and sequential commands, latches and flip flops, tri-state & don't car modelling, arithmetic and synchronous counters, FSMs, design of hardware processors