Parham Nooralishahi

I'm a

About

Parham Nooralishahi is a specialist in embedded and intelligent vision systems with a demonstrated history of working in different industries. He has in-depth expertise in robotics & drones, embedded systems, advanced computer vision & machine learning techniques. He holds a Ph.D. in Electrical Engineering from Université Laval, where he focused on developing drone-enabled techniques for inspecting large and complex industrial components using multi-modal data processing. He got his Master's degree in Computer Science (Artificial Intelligence) and his Bachelor's degree in Software Engineering. Also, he has been the recipient of several awards and medals, including a gold medal in IEEE RoboPride and a silver medal in the FIRA RoboWorld Cup, PECIPTA, and IIDEX competitions.

Parham Nooralishahi

Computer Vision | Machine Learning | Drones & Robots | Software Engineering | Embedded Systems

[parham]@[my domain]

Strengths

I Work Hard for the success of projects!

I have a Solution-Driven mindset focusing on solving problems.

I am a Creative thinker addressing issues with creative solutions.

I believe Team-Work is essential for the project success and origanization growth.

Programming Languages

List of programming languages that I am actively using.

Python
C++
Javascript (& NodeJS)
Java
MATLAB
Kotlin

Education

The explaination of my education records.

Academic

Doctor of Philosophy in Electrical Engineering

Jul 2019 - Jul 2023

Professor Xavier Maldague | Université Laval, Quebec, QC, Canada

Multi-Modal Data Acquisition and Processing for Drone-based Inspection of Industrial Structures.

GPA: 4.22 (A+)

Master of Science in Computer Science

Sept 2012 - Mar 2015

Professor Chu Kiong Loo | University of Malaya, Kuala Lumpur, Malaysia

Object Detection in 3D Reconstructed Scene using Hierarchical Growing Neural Gas.

Bachelor of Engineering in Software Eng.

Sept 2005 - Jul 2011

Dr. Reza Ravanmehr (Ravani) | IAUCTB, Tehran, Iran

Persian Intelligent Word Recognition.

Certifications

Protecting Human Research Participant

2015
USA National Institutes of Health

Intelligent and Evolutionary Computation Workshop

2013
University of Malaya

Advanced Java Programming

2007
Tehran Institute of Technology

Java Programming

2007
Tehran Institute of Technology

Linux+

2007
Tehran Institute of Technology

Involvement in Research Areas

Experience

The list of my research and professional experiences.

Professional Experience

Research And Development Scientist / Technical Leader

June 2020 - March 2024
TORNGATS, Quebec, Canada
Working on R&D projects in the following areas:
* Computer Vision & Image Processing
* Deep Learning & Machine Learning
* Robotics & Drones
* Software Engineering & Development
* Sensors: Thermal and Visible Cameras, Depth Sensors & LiDAR, Ultrasonic sensor, Radiography Image processing.

My responsibilities can be summarized as follows:
* Design and develop solutions for industrial & construction inspection.
* Implement customized software for data analysis related to industrial inspection.
* Payload Integration for drones and other robots.
* Lead the R&D team on projects to fulfill the requested objectives.

Research And Development Scientist

Aug 2019 - June 2020
TORNGATS, Quebec, Canada
Working on R&D projects focusing on Robotics, Computer Vision, and Machine Learning. As part of On-Duty program.

Robotics Developer (Part-time)

Jan 2020 - May 2020
INRS, Quebec, Canada
Involved in a collaboration between INRS and DroneXperts, (a) Integration of a specialized payload and a drone platform, (b) Development of the embedded system to control the drone, (c) Development of the payload’s control system

Software Engineer

Feb 2017 - Jun 2019
Huawei Technology Co., Tehran, Iran
Design and Develop telecommunication software solutions for various infrastructures:
* Design & Develop web/enterprise systems for monitoring and troubleshooting telecommunication networks.
* Server configuration and deployment.
* DevOps tasks.
* Docker configuration and deployment.

Internship

Jul 2009 - Sept 2009
National Cartographic Center, Tehran, Iran
Developed an applet to view and search on GIS data. Also a technical report is prepared about open source GIS software like GRASS GIS.

Research Experience

Visiting Fellow

Feb 2023 - March 2023
Universiteit Antwerpen, Antwerp, Belgium
InViLab - Professor Gunther Steenackers
As part of a on-going collaboration with Laval University.

PhD Researcher

Jul 2019 - Jul 2023
Université Laval, Quebec, Canada
MiViM - Professor Xavier Maldague
On-Duty scholarship.

Research Assistant

Mar 2015 - Nov 2015
Damai Sciences, Kuala Lumpur, Malaysia
Professor Martin Helander, Professor Loo Chu Kiong, Dr. Halimahtun, Dr. Chin Ai-Vyrn
US Air Force AOARD Grant No. 134133 14-1-0016, $168,800
Designed and developed a social signal interpretation platform to collect, process, and transmit sensory data. Also designed an algorithm to predict trust factor using sensory data.

Research Assistant

Apr 2013 - Nov 2015
University of Malaya, Kuala Lumpur, Malaysia
Professor Loo Chu Kiong
Grant: PV008-2015, UM.C/625/1/HIR/MOHE/FCSIT/10, UM.C/625/1/HIR/MOHE/FCSIT/10.

Undergraduate Researcher

Oct 2010 - Sept 2011
IAUCTB, Tehran, Iran
250,000,000 IRR granted from IAUCTB. Search and rescue drone based on problems addressed by Red Crescent Society of the Islamic Republic of Iran.

Organizations

The Organizations that I am holding a position in or participating in.

NSERC-CREATE oNDuTy
Collaborator
March 2023 - Current

oN DuTy! is supported by the Collaborative Research and Training Experience (CREATE) of the National Sciences and Engineering Research Council of Canada (NSERC).

Drone Pilot Association of Canada
Member
March 2023 - Current

DPAC is a straightforward, not-for-profit organization with a volunteer president and a small steering committee. With input and feedback from our membership, we will prioritize issues, develop positions and execute action plans.

Scholarshipts, Awards, and Honors

Scholarships, Awards, and Honors are listed here.

Outstanding Delivery Support Team

Mar 2019   Rep Office CEO, Huawei

Outstanding Python Trainer

Sept 2018   Huawei Technologies Co.

Annual Delivery Transformation Star

Mar 2018   Huawei Technologies Co.

Best D&S Transformation Team Award

Mar 2018   Huawei Technologies Co.

Outstanding staff (December)

Dec 2017   Huawei Technologies Co.

Huawei DevOps Hero

Jul 2017   Huawei Technologies Co.

Gold medal

Oct 2015   IEEE RoboPride

Silver medal

Apr 2015   IIDEX

Silver medal

Nov 2013   PECIPTA

Silver medal

Aug 2013   FIRA RoboWorld Cup

Annual Award for premier elites

Mar 2012   IAUCTB

IAU Research Award

Feb 2012   IAUCTB

Appreciation letter

Oct 2011   IAUCTB

Publications

List of my publications.

Journal Articles
2023 Parham Nooralishahi, Sandra Pozzer, Gabriel Ramos, Fernando López, Xavier P.V. Maldague. The registration of multi-modal point clouds for industrial inspection; Quantitative InfraRed Thermography Journal, doi: 10.1080/17686733.2023.2232586 (2023).
2023 Parham Nooralishahi, Reza Khoshkbary Rezayiye, Fernando López, Xavier P.V. Maldague. PHM-IRNET: Self-training thermal segmentation approach for thermographic inspection of industrial components; NDT & E International, 102884, ISSN 0963-8695, doi: 10.1016/j.ndteint.2023.102884 (2023).
2022 Parham Nooralishahi, Gabriel Ramos, Sandra Pozzer, Clemente Ibarra-Castanedo, Fernando Lopez, Xavier Maldague. Texture Analysis to Enhance Drone-based Multi-Modal Inspection of Structures; MDPI Drone (2021).
2022 Nooralishahi, P., López, F., & Maldague, X. P. (2022). Drone-Enabled Multimodal Platform for Inspection of Industrial Components. IEEE Access, 10, 41429-41443.
2021 Nooralishahi P, Ibarra-Castanedo C, Deane S, López F, Pant S, Genest M, Avdelidis NP, Maldague XPV. Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case Studies. Drones. 2021; 5(4):106. https://doi.org/10.3390/drones5040106. (2021).
2021 Alhammad, M., Avdelidis, N.P., Deane, S., Ibarra-Castanedo, C., Pant, S., Nooralishahi, P., Ahmadi, M., Genest, M., Zolotas, A., Zanotti-Fragonara, L. and Valdes, J., 2021, April. Diagnosis of composite materials in aircraft applications: towards a UAV active thermography inspection approach. In Thermosense: Thermal Infrared Applications XLIII (Vol. 11743, p. 1174306). International Society for Optics and Photonics (2021).
2021 Pant, S.; Nooralishahi, P.; Avdelidis, N.P.; Ibarra-Castanedo, C.; Genest, M.; Deane, S.; Valdes, J.J.; Zolotas, A.; Maldague, X.P.V. Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application. Sensors 2021, 21, 1604. doi: 10.3390/s21051604. (2021).
2021 Nooralishahi, P.; López, F.; Maldague, X. A Drone-Enabled Approach for Gas Leak Detection Using Optical Flow Analysis. Appl. Sci. 2021, 11, 1412. doi: 10.3390/app11041412. (2021).
2020 Deane, S.; Avdelidis, N.P.; Ibarra-Castanedo, C.; Zhang, H.; Nezhad, H.Y.; Williamson, A.A.; Mackley, T.; Maldague, X.; Tsourdos, A.; Nooralishahi, P. Comparison of Cooled and Uncooled IR Sensors by Means of Signal-to-Noise Ratio for NDT Diagnostics of Aerospace Grade Composites. Sensors 2020, 20, 3381. doi: 10.3390/s20123381 (2020).
2019 Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei. Robust Remote Heart Rate Estimation from Multiple Asynchronous Noisy Channels using Auto-regressive Model with Kalman Filter. Biomedical Signal Processing and Control. (2019).
2018 Nooralishahi, P., Loo, C. K., Seera, M. Semi-Supervised Topo-Bayesian ARTMAP for noisy data. Applied Soft Computing 62, pp. 134-147. (2018).
2017 Nooralishahi, P., Seera M., Loo C. K. Online semi-supervised multi-channel time series classifier with growing neural gas. Neural Computing and Applications 28.11: 3491-3505. (2017).
2017 Karamizadeh, S., Abdullah, S. M., Shayan, J., Zamani, M., Nooralishahi, P. (2017). Taxonomy of Filtering Based Illumination Normalization for Face Recognition. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-5), 135-139. (2017).
2017 Karamizadeh, S., Abdullah, S. M., Zamani, M., Shayan, J., Nooralishahi, P. (2017). Face Recognition via Taxonomy of Illumination Normalization. In Multimedia Forensics and Security (pp. 139-160). Springer International Publishing. (2017).
2015 Karbasi, M., Waqas, A., Nooralishahi, P., & Mazloomnezhad, S. M. R. (2015). Head and Hand Detection using Kinect Camera 360. International Journal of Research in Computer Science, 4(6), 1. (2015).
2015 Karbasi, M., Bhatti, Z., Nooralishahi, P., Shah, A., & Mazloomnezhad, S. M. R. (2015). Real-time hands detection in depth image by using distance with Kinect camera. International Journal of Internet of Things, 4(1A), 1-6. (2015).
Conference Proceedings
2023 Nooralishahi, P., Laurent, K., Lopez, F., & Maldague, X. (2023, June). Thermographic augmentation of defects on thermal images using multi-modal data. In Thermosense: Thermal Infrared Applications XLV (Vol. 12536, pp. 265-273). SPIE.
2021 M. Alhammad, N. P. Avdelidis, S. Deane, C. Ibarra-Castanedo, S. Pant, P. Nooralishahi, M. Ahmadi, M. Genest, A. Zolotas, L. Zanotti-Fragonara, J. Valdes, X. P. V. Maldague; Diagnosis of composite materials in aircraft applications: towards a UAV active thermography inspection approach, Proc. SPIE 11743, Thermosense: Thermal Infrared Applications XLIII; 1174306 (2021) https://doi.org/10.1117/12.2586064.
2020 Nooralishahi, P., Lopez, F., & Maldague, X. A NOVEL DRONE-ENABLED APPROACH FOR GAS LEAK DETECTION USING THERMAL IMAGE FLOW ANALYSIS. SHM-NDT’20, Quebec City, December 2020.
2020 Parham Nooralishahi, Shakeb Deane, Fernando Lopez, Clemente Ibarra-Castanedo, Nicolas P. Avdelidis, and Xavier Maldague; Reflectivity detection and reduction of thermographic images using image stitching tech-nique and its applications on remote inspection, Proc. SPIE 11409, Thermosense: Thermal Infrared Applications XLII, 114090U (23 April 2020); https://doi.org/10.1117/12.2557328.
2016 Shiung, Liew Wei and Khalid, Halimahtun M and Nooralishahi, Parham and Rasool, Zeeshan and Loo, Chu Kiong and Helander, Martin G (2016, December). Determining the relationship between psychological and physiological measurements of human trust using rough set analysis. In In Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on, pp. 1458-1462. IEEE.
2016 Khalid, Halimahtun M and Shiung, Liew Wei and Nooralishahi, Parham and Rasool, Zeeshan and Helander, Martin G and Kiong, Loo Chu and Ai-vyrn, Chin (2016, September). Exploring Psycho-Physiological Correlates to Trust Implications for Human-Robot-Human Interaction. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 697-701). SAGE Publications.
2015 Karamizadeh S., Shahidan, M. F., Shayan J. and Nooralishahi, P.. ”Threshold based skin color segmentation”. In Proc. 2nd Advancement on Information Technology International Conference (ADVCIT), Thailand, 2015.
2015 Nooralishahi, P., & Loo, C. K. (2015). ”3D Object Detection for Reconstructed Scene Using Multi-layer Growing Neural Gas”. In Computational Intelligence in Information Systems (pp. 211-219). Springer International Publishing.
2012 Nooralishahi, P., & Sanouni, M. (2012). A Distributed Controlling System for Search and Rescue UAVs. In Proceedings of International Conference on Intelligent Unmanned Systems (Vol. 8).
2011 Ravani, R., Nooralishahi, P., & Amani, A. S. (2011, July). ”A novel approach for Persian/Arabic intelligent word recognition”. In Visual Information Processing (EUVIP), 2011 3rd European Workshop on (pp. 292-297). IEEE.
2011 Ravani, R., Nooralishahi, P. (2011 July). ”Using Dynamic Time Warping for Persian handwriting recognition”. In International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’11), Las Vegas, Nevada, USA.
Book Chapters
2009 Nayebi M., Nouri M., Nooralishahi, P. (2009). ”Solution Manual for Fundamentals of Physics”. Azarbad Press, Tehran, Iran. (in Persian) ISBN 978 - 964 - 7099 - 90 - 5.
2008 Nilforoushan B., Nooralishahi, P. (2008). ”Solution Manual for pre-university Physics”. Azarbad Press, Tehran, Iran. (in Persian) ISBN 978 - 964 - 7099 - 89 - 9.