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Dr Daniel Konings staff profile picture

Contact details +6492136579

Dr Daniel Konings PhD, BE(Hons) 1st Class, FHEA

Lecturer in Electronics and Embedded Systems Engineering

Doctoral Supervisor
School of Food and Advanced Technology

The goal of my research is to develop smart systems and methodologies, with a focus on practical implementation and real-world feasibility. My research is multidisciplinary, and my currents fields of interest include industrial automation/Industry 4.0, machine learning, indoor localisation, sensor networks & IoT. I am a passionate lecturer who consistently links the current class topics with the required industry skills, to help maintain student engagement and to showcase post-university industry relevance.

Professional

Contact details

  • Ph: +64 9 414 0800 extn 43579
    Location: AV2.1, Level 2, Albany Village
    Campus: Albany, Auckland

Qualifications

  • Doctor of Philosophy - Massey University (2019)
  • Bachelor of Engineering with honours - Massey University (2015)

Fellowships and Memberships

  • Member, Higher Education Academy (Fellow) (2021)

Certifications and Registrations

  • Licence, Supervisor, Massey University

Prizes and Awards

  • Dean's List of Exceptional Theses - Massey University (2019)

Research Expertise

Research Interests

Industrial Automation/Industry 4.0, Machine Learning, Big data, Embedded Systems, Indoor Localisation, Sensor Networks & IoT

Thematics

21st Century Citizenship, Design – for Commerce, Community and Culture

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100):
Automation and Control Engineering (091302):
Communications Technologies (100500):
Control Systems, Robotics and Automation (090602): Electrical and Electronic Engineering (090600): Engineering (090000):
Information And Computing Sciences (080000):
Mechanical Engineering (091300):
Neural, Evolutionary and Fuzzy Computation (080108): Pattern Recognition and Data Mining (080109):
Signal Processing (090609):
Technology (100000): Wireless Communications (100510)

Keywords

Industrial Automation / Industry 4.0

Machine Learning

Sensor Networks

Indoor Localisation

Embedded Systems

Control Systems

Electronics Engineering

Research Outputs

Journal

Bakar, AHA., Legg, M., Konings, D., & Alam, F. (2021). Ultrasonic guided wave measurement in a wooden rod using shear transducer arrays. Ultrasonics. 119
[Journal article]Authored by: Alam, F., Konings, D., Legg, M.
Konings, D., Grace, R., & Alam, F. (2021). A Stacked Neural Network-Based Machine Learning Framework to Detect Activities and Falls within Multiple Indoor Environments Using Wi-Fi CSI. IEEE Sensors Letters. 5(5)
[Journal article]Authored by: Alam, F., Konings, D.
Konings, D., Faulkner, N., Alam, F., Lai, EMK., & Demidenko, S. (2020). FieldLight: Device-Free Indoor Human Localization Using Passive Visible Light Positioning and Artificial Potential Fields. IEEE Sensors Journal. 20(2), 1054-1066
[Journal article]Authored by: Alam, F., Demidenko, S., Konings, D.
Konings, D., Alam, F., Noble, F., & Lai, EMK. (2019). Improved Distance Metrics for Histogram-Based Device-Free Localization. IEEE Sensors Journal. 19(19), 8940-8950
[Journal article]Authored by: Alam, F., Konings, D., Noble, F.
Konings, D., Alam, F., Noble, F., & Lai, EMK. (2019). SpringLoc: A Device-Free Localization Technique for Indoor Positioning and Tracking Using Adaptive RSSI Spring Relaxation. IEEE Access. 7, 56960-56973
[Journal article]Authored by: Alam, F., Konings, D., Noble, F.
Konings, D., Alam, F., Noble, F., & Lai, EMK. (2019). Device-Free Localization Systems Utilizing Wireless RSSI: A Comparative Practical Investigation. IEEE Sensors Journal. 19(7), 2747-2757
[Journal article]Authored by: Alam, F., Konings, D., Noble, F.
Konings, D., Parr, B., Alam, F., & Lai, EMK. (2018). Falcon: Fused application of light based positioning coupled with onboard network localization. IEEE Access. 6, 36155-36167
[Journal article]Authored by: Alam, F., Konings, D.

Conference

Konings, D., & Legg, M.Delivering an effective balance of soft and technical skills within project-based engineering courses. Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020. (pp. 157 - 164).
[Conference]Authored by: Konings, D., Legg, M.
Konings, D., & Alam, F. (2020). LifeCount: A Device-free CSI-based Human Counting Solution for Emergency Building Evacuations. 2020 IEEE Sensors Applications Symposium, SAS 2020 - Proceedings.
[Conference Paper in Published Proceedings]Authored by: Alam, F., Konings, D.
Parr, B., Konings, D., Legg, M., & Alam, F.Early Warning System with Real Time Tilt Monitoring. 2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019.
[Conference]Authored by: Alam, F., Konings, D., Legg, M.
Konings, D., Faulkner, N., Alam, F., Noble, F., & Lai, EMK. (2017). The effects of interference on the RSSI values of a ZigBee based indoor localization system. 2017 24th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2017. Vol. 2017-December (pp. 1 - 5).
[Conference Paper in Published Proceedings]Authored by: Alam, F., Konings, D., Noble, F.
Konings, D., Parr, B., Waddell, C., Alam, F., Arif, KM., & Lai, EMK. (2017). HVLP: Hybrid visible light positioning of a mobile robot. 2017 24th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2017. Vol. 2017-December (pp. 1 - 6).
[Conference Paper in Published Proceedings]Authored by: Alam, F., Arif, K., Konings, D.
Konings, D., Faulkner, N., Alam, F., Noble, F., & Lai, E. (2017). Do RSSI values reliably map to RSS in a localization system?. Proceedings of the 2017 2nd Workshop on Recent Trends in Telecommunications Research, RTTR 2017.
[Conference Paper in Published Proceedings]Authored by: Alam, F., Konings, D., Noble, F.
Konings, D., Budel, A., Alam, F., & Noble, F.Entity Tracking Within A Zigbee Based Smart Home. PROCEEDINGS OF 2016 23RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP). (pp. 190 - 195).
[Conference]Authored by: Alam, F., Konings, D., Noble, F.

Teaching and Supervision

Teaching Statement

228311 Engineering Practice 5: Engineering Design with Constraints

281353 Control Engineering

281374 Communication Systems

281384 Embedded Systems Design

282772 Industrial Systems Design and Integration

Courses Coordinated

Graduate Supervision Statement

Kelvin Chee - Improving the accuracy and efficiency of weather classification for advanced driver-assistance systems (Complete)

Anurag Lad - Developing an optimised CoAP implementation for Smart Home use (Complete)

Yilun Wu - The Deployment of a Neural Network Based Indoor Localization Framework for Real-time classification using Embedded Systems (Complete)

Undergraduate Honours Projects

Jordan Hii - The Investigation of an appropriate machine learning method to distinguish the difference between Ambient/Background Sounds and Construction Sounds (Current)

Michael Daly - The creation of a novel STEM platform that enables students to effectively learn code fundamentals, without adult supervision (Complete)

Calvin Dewse - Investigating the viability of universal cross-platform IoT communication (Complete)

Russell Grace - Investigating how line-of-sight Wi-Fi CSI values fluctuate due to human activity (Complete)

Undergraduate Honours Capstone Group Projects

Developing a fully autonomous electric knife sharpener for residential use (Current)


Dr Daniel Konings is available for Masters and Doctorial supervision.

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 1 0

Current Doctoral Supervision

Co-supervisor of:

  • Hasan Abu Bakar - Doctor of Philosophy
    Acoustic Non-Destructive Testing Tools for Wood

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