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Mr. Al Ghelmani | Architectural | Best Researcher Award

 

PhD Candidate at Concordia University, Canada

Mr. Ali Ghelmani is a Ph.D. candidate in Concordia Institute for Information Systems Engineering at Concordia University, Montreal, QC, Canada. His research focuses on Vision-Based Construction Equipment Activity Recognition Using Supervised and Self-Supervised Methods. He holds an M.Sc. in Electrical Engineering, Major in Communication Systems, from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, and a B.Sc. in Electrical Engineering, Major in Communication, from Sharif University of Technology, Tehran, Iran. Ali has a strong background in computer programming, with proficiency in MATLAB, Python, C, C++, TensorFlow, and PyTorch. He also has skills in CAD tools like MATLAB Simulink and Qt Designer, GUI design tools including Qt Creator and OpenGL, and database management with SQL and SQLite. He is experienced in using typesetting applications like Microsoft Office and LaTeX. In addition to his academic achievements, Ali has practical experience as a Data Analyst in Industrial IoT, where he worked on preprocessing sensor data and analyzing it using Machine Learning and Deep Learning methods. He is also an accomplished editor, having worked on various books and receiving the “Most Accurate Editor” award multiple times. Ali’s academic and professional journey is marked by several honors, including winning 2nd place in the CIC Student Competition ‘Construction 2050, Ideas for Future’ and being ranked highly in national university entrance examinations in Iran. He is fluent in Persian and proficient in English.

Professional Profiles:

📚 Education:

Mr. Ali Ghelmani is currently pursuing a Ph.D. in Concordia Institute for Information Systems Engineering at Concordia University, Montreal, QC, Canada. His research focuses on Vision-Based Construction Equipment Activity Recognition Using Supervised and Self-Supervised Methods, under the supervision of Professor Amin Hammad. He completed his M.Sc. in Electrical Engineering, Major in Communication Systems, at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, where his thesis was on Pavement Condition Evaluation Using Signal Processing Techniques, supervised by Professor Hamid Sheikhzadeh Nadjar. His academic journey began with a B.Sc. in Electrical Engineering, Major in Communication, from Sharif University of Technology, Tehran, Iran. His undergraduate thesis was on Design and Implementation of Through the Wall Continuous Wave Acoustic Radar.

🗣️Teaching experience:

Mr. Ali Ghelmani has been actively involved in teaching assistant roles at Concordia University, Montreal, Canada, across several departments. In 2023-2024, he served as a Teaching Assistant for Introduction to Deep Learning and Sustainable Infrastructure in the Computer Science Department and Concordia Institute for Information Systems Engineering, respectively. In 2023, he was a Teaching Assistant for Artificial Intelligence in the Computer Science Department. Prior to that, in 2022, he assisted in teaching Topics/Computer Science: Deep Learning and Discrete-Time Signals and Systems in the Computer Science Department and Electrical and Computer Engineering Department, respectively.

Work experience:

From May 2019 to May 2020, Mr. Ali Ghelmani worked as a Data Analyst at Aranuma Co. in Tehran, Iran, specializing in Industrial IoT (IIoT). In this role, he was responsible for preprocessing multirate sensor data using various Digital Signal Processing (DSP) methods. He also analyzed data using Machine Learning and Deep Learning methods in Python, utilizing packages such as SciPy, TensorFlow, and PyTorch. Additionally, he provided data reports and result charts using Plotly and Matplotlib packages. Prior to his work as a Data Analyst, Mr. Ghelmani served as an Editor at the Ghalamchi Educational Foundation in Tehran, Iran, from January 2010 to May 2017. During his tenure, he edited various books and was recognized with the “Most Accurate Editor” award in five out of seven years.

 

Skills:

Mr. Ali Ghelmani has a diverse skill set in computer programming, CAD, GUI design, database management, and typesetting applications. He is proficient in programming languages such as MATLAB, Python, C, C++, TensorFlow, and PyTorch. His CAD skills include MATLAB Simulink and Qt Designer, and he is experienced in GUI design using Qt Creator and OpenGL. He is also skilled in database management with SQL and SQLite, and he has proficiency in using typesetting applications like Microsoft Office and LaTeX. In terms of language proficiency, Mr. Ghelmani is a native Persian speaker and is proficient in English, with proficiency in reading and writing, and intermediate skills in speaking and listening.

Honors:

Mr. Ali Ghelmani has achieved several notable honors, including winning 2nd place in the CIC Student Competition ‘Construction 2050, Ideas for Future’ in July 2022. He is also a member of the Scientific Committee of the EG-ICE and has participated in the 29th, 30th, and 31st International Workshops on Intelligent Computing in Engineering held in Aarhus, Denmark, London, England, and Vigo, Spain, respectively. Furthermore, he was ranked 108 out of more than 10,000 participants in the graduate-level national university entrance examination, leading to his acceptance to Amirkabir University of Technology (ranked 3rd among technical universities in Iran) in 2016. In 2007, he achieved a remarkable ranking of 133 out of more than 400,000 participants in the national university entrance examination, resulting in his acceptance to Sharif University of Technology (ranked 1st among technical universities in Iran).

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📚Publications :

Road roughness measurement using a cost-effective sensor-based monitoring system

Authors: MA Bidgoli, A Golroo, HS Nadjar, AG Rashidabad, MR Ganji

Citations: 54

Year: 2019

A brief review on the application of sound in pavement monitoring and comparison of tire/road noise processing methods for pavement macrotexture assessment

Authors: MR Ganji, A Ghelmani, A Golroo, H Sheikhzadeh

Citations: 15

Year: 2021

Dense-graded asphalt pavement macrotexture measurement using tire/road noise monitoring

Authors: MR Ganji, A Golroo, H Sheikhzadeh, A Ghelmani, MA Bidgoli

Citations: 13

Year: 2019

Mean texture depth measurement with an acoustical-based apparatus using cepstral signal processing and support vector machine

Authors: MR Ganji, A Ghelmani, A Golroo, H Sheikhzadeh

Citations: 8

Year: 2020

Asphalt pavement macrotexture monitoring in cracked surfaces by using an acoustical low-cost continuous method

Authors: MR Ganji, A Ghelmani, A Golroo, H Sheikhzadeh

Citations: 7

Year: 2021

Towards Near Real-time Digital Twins of Construction Sites: Developing High LOD 4D Simulation Based on Computer Vision and RTLS

Authors: Y Huang, A Hammad, G Torabi, A Ghelmani, M Guevremont

Citations: 7

Year: 2021

Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset

Authors: A Ghelmani, A Hammad

Citations: 2

Year: 2023

Enhancing single-stage excavator activity recognition via knowledge distillation of temporal gradient data

Authors: A Ghelmani, A Hammad

Citations: 1

Year: 2023

Improving single-stage activity recognition of excavators using knowledge distillation of temporal gradient data

Authors: A Ghelmani, A Hammad

Year: 2024

Future research directions of construction digital twins

Authors: Y Huang, A Ghelmani, A Hammad

Year: 2023

Point Cloud-Based Concrete Surface Defect Semantic Segmentation Using Modified PointNet++

Authors: N Bolourian, A Hammad, A Ghelmani

Year: 2022

Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation

Authors: A Ghelmani, A Hammad

Year: 2022

Evaluating Pavement Roughness Based on Vibration Analysis of Cost-Effective System of Road Health Monitoring

Authors: M Arbabpour Bidgoli, A Golroo, Ali Ghelmani, A Abolfazl Suratgar, …

Year: 2020

Al Ghelmani | Architectural | Best Researcher Award

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