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 Co-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, Co-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

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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