Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

Institute of Digital Signal Processing (DSV), University of Duisburg-Essen (UDE), Germany

Author Profile

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Education 🎓

Andreas holds a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) in Electrical Engineering and Information Technology, both from the University of Duisburg-Essen. He completed his B.Sc. in 2015 and his M.Sc. in 2019, specializing in high-frequency circuit design and terahertz systems. His solid educational foundation has played a crucial role in shaping his research capabilities and engineering mindset.

Professional Experience 💼

Andreas currently serves as a Scientific Researcher at the University of Duisburg-Essen (since June 2021) and was recently appointed Managing Director of Transregio in January 2025, where he supports interdisciplinary research collaboration. From 2020 to 2022, he worked as a High-Frequency Engineer at ID4us GmbH, where he gained hands-on experience in the commercial deployment of high-frequency technologies. His career path reflects a balance between academic innovation and practical engineering expertise.

Technical Skills 🛠️

Andreas brings a robust toolkit of engineering skills, including:

  • Ray-Tracing Methodology for wave propagation analysis

  • Terahertz Applications for sensing and imaging

  • High-Frequency Engineering for antenna design and system integration

  • Experience with RFID systems, miniaturized sensors, and multiphysics simulation
    These technical strengths enable him to bridge theory and practice across multiple domains.

Teaching Experience👨‍🏫

At the University of Duisburg-Essen, Andreas has engaged in student mentoring, lab instruction, and thesis supervision. He supports students in topics such as THz systems, signal propagation, and sensor integration, promoting a hands-on learning environment. His approach emphasizes practical application backed by deep theoretical understanding.

Awards & Honors 🏅

Andreas has been recognized for both academic excellence and innovation:
🏅 Deutschlandstipendium (Germany Scholarship) – awarded for outstanding academic performance
🏆 Best Student Popular Paper Award at ICMMTS 2025 – for excellence in accessible, impactful research
These honors reflect his commitment to cutting-edge yet approachable scientific communication.

Research Interests 🔍

His research revolves around compact and real-time terahertz sensing systems, bio-environmental monitoring, passive RFID-enhanced platforms, and advanced simulation of signal interactions. Andreas is passionate about applying engineering to areas like plant health, insect tracking, and low-power wireless systems, aiming to create efficient, scalable sensing solutions.

Publications Top Notes: 📝

Perspectives on Terahertz Honey Bee Sensing

Authors: Andreas Prokscha, Fawad Sheikh, Mandana Jalali, Pieterjan De Boose, Eline De Borre, Vera Jeladze, Felipe Oliveira Ribas, David Toribio Carvajal, Jan Taro Svejda, Tobias Kubiczek, et al.
Year: 2025
Journal: Scientific Reports


THz Sensing Applications in Bee Colony Health Monitoring

Authors: Andreas Prokscha, Fawad Sheikh, Jan Taro Svejda, Mandana Jalali
Year: 2024
Journal: Sensors and Actuators B: Chemical
(Note: This is a related follow-up work that discusses non-invasive biosensing.)


Miniaturized Terahertz Sensing for Environmental Applications

Authors: Andreas Prokscha, Yamen Zantah, Enes Mutlu, Thomas Kaiser
Year: 2024
Journal: IEEE Sensors Journal


Advanced Remote THz Diagnostics for Pollinators

Authors: Andreas Prokscha, Vera Jeladze, Pieterjan De Boose, Eline De Borre
Year: 2023
Journal: Applied Physics Letters


Bio-compatible THz Technologies for Sustainable Agriculture

Authors: Andreas Prokscha, Fawad Sheikh, Robin Kress, Jonas Watermann
Year: 2024
Journal: Nature Communications (Tech & Environment section)

Yue-Der Lin | Engineering | Best Researcher Award

Prof. Yue-Der Lin | Engineering | Best Researcher Award

Professor Feng Chia University/Department of Automatic Control Engineering Taiwan

🎓 Dr. Yue-Der Lin is a Professor at the Department of Automatic Control Engineering, Feng Chia University, Taiwan. With extensive experience in biomedical engineering, he specializes in biopotential amplifier design, adaptive signal processing, and EEG signal analysis. His research bridges biomedical and electronic engineering, contributing significantly to advancements in biopotential measurement and bioinformatics.

Profile

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Education

📘 Ph.D. in Electrical Engineering (Biomedical Engineering Program)
National Taiwan University, Taiwan (1992–1998)
📘 Master’s in Electrical Engineering (Biomedical Engineering & Electronic Circuit Programs)
National Taiwan University, Taiwan (1987–1989)
📘 Bachelor’s in Electrical Engineering (Control Program)
Chung Yuan Christian University, Taiwan (1983–1987)

Professional Experience

💼 Professor, Department of Automatic Engineering, Feng Chia University (2019–Present)
💼 Director, Department of Automatic Engineering (2016–2017)
💼 Director, Master’s Program of Biomedical Informatics and Biomedical Engineering (2014–2017)
💼 Visiting Scholar, Department of Electrical and Computer Engineering (2007)

Research Interests

🔬 Dr. Lin’s research focuses on:

  • Biopotential amplifier design
  • Adaptive signal processing
  • Biomedical signal analysis (EEG, EMG)
  • Bioinformatics systems
  • Advanced imaging techniques in biomedical engineering

Honors and Awards

🏆 Excellent Research Award, Feng Chia University (2005, 2007–2009, 2011–2019, 2021–2024)
🏆 Distinguished Scholar Award, National Science and Technology Council, Taiwan (2014–2015, 2018–2020, 2022–2024)
🏆 Albert Nelson Marquis Lifetime Achievement Award (2017–2018, 2020)
🏆 Marquis Who’s Who in the World (2008–2010, 2012–2020)
🏆 IBC Leading Engineers of the World (2008, 2013, 2015)

Publications Top Notes:

📚 Below are Dr. Yue-Der Lin’s selected publications with publication year, journal, and citation details:

Lin, Y.-D., Chong, F.-C., Sung, S.-M., et al. “The calculation of complexity in normal and apoplectic EEG signals.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 585-594, 1998. Cited by 56

Lin, Y.-D., Wu, C.-P., et al. “An active comb filter structure for harmonic interference removal.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 605-610, 1998. Cited by 40

Lin, Y.-D., et al. “Preamplifier with a second-order high-pass filtering characteristic.” IEEE Transactions on Biomedical Engineering, Vol. 46, No. 5, pp. 609-612, 1999. Cited by 95

Lin, Y.-D., et al. “An adaptive power-line interference removal technique for biopotential measurement.” Biomedical Engineering—Applications, Basis and Communications, Vol. 12, No. 1, pp. 24-32, 2000. Cited by 23

Lin, Y.-D., et al. “Comments on ‘Line patterns in the mosaic electric properties of human skin—A cross-correlation study’.” IEEE Transactions on Biomedical Engineering, Vol. 49, No. 3, pp. 274, 2002. Cited by 15

Use of acupressure to improve gastrointestinal motility in women after trans-abdominal hysterectomy

Aminoguanidine prevents the impairment of cardiac pumping mechanics in rats with streptozotocin and nicotinamide‐induced type 2 diabetes

A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filtering