Al Ghelmani | Architectural | Best Researcher Award

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:

๐Ÿ“š 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.

๐Ÿ—ฃ๏ธTeachingย 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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๐Ÿ“šPublications :

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

Nina Lazar | Architecture | Most Reader’s Article Award

Dr. Nina Lazar | Architecture | Most Reader’s Article Award

Assistant Professor at Vellore Institute of Technology, India

Dr. Nina Lazar is a highly accomplished researcher and academic with a focus on sustainable built environments. She has conducted extensive research on building sustainability assessment systems, green building rating systems, and the role of culture in sustainable development. Dr. Lazar’s work has been recognized through numerous publications in prestigious journals and conferences, as well as awards such as the Indian Institute of Architects National Award. In addition to her research, Dr. Lazar is dedicated to mentoring students and has served as a teaching assistant and assistant professor at various institutions. She is proficient in a variety of software tools used in architecture and building design, including AutoCAD, Sketchup, and DesignBuilder. Dr. Lazar’s commitment to sustainability extends to her professional activities, where she actively participates in collaborative research projects and academic conferences. Overall, Dr. Nina Lazar’s research contributions and expertise in sustainable building design make her a respected figure in the field. Her work continues to drive progress in sustainable architecture and environmental research.

Professional Profiles:

๐Ÿ“š Education:

Dr. Nina Lazar has an extensive educational background in architecture and building engineering, starting with her Bachelor of Architecture degree from the Government Engineering College in Thrissur, Kerala. Graduating with First Rank from Calicut University in 2010, she continued her academic journey by pursuing a Masters in Building Engineering & Management at the School of Planning and Architecture in Delhi, where she graduated with Distinction in 2013. Dr. Lazar furthered her studies with a Ph.D. in the Department of Architecture and Planning at the National Institute of Technology in Calicut, Kerala, completing her doctoral research from 2017 to 2021. Her educational accomplishments reflect a strong commitment to excellence and a deep passion for the field of architecture and building engineering.

๐Ÿ“Workย Experience:

Dr. Nina Lazar brings a wealth of industrial and teaching experience to her role, with a focus on sustainability and architectural design. She served as a Sustainability Architect in the ESG Wing of the Kerala Infrastructure Investment Fund Board (KIIFB) from October 2021 to May 2023, where she contributed to sustainable development projects. Prior to this, she worked as a Design Coordinator at Synergy Property Development Services from July 2013 to July 2016, gaining valuable experience in coordinating design processes. Dr. Lazar also has experience as a Part-time Architect at Kavyam Design Studio in Thrissur, where she worked from November 2010 to May 2011. In addition to her industrial experience, Dr. Lazar has a strong background in academia. She currently serves as an Assistant Professor (Senior) at the School of Architecture, VIT Vellore, a position she has held since June 2023. Before joining VIT Vellore, she worked as a Teaching Assistant at the National Institute of Technology Calicut from July 2017 to October 2021, where she contributed to the education and development of future architects. Dr. Lazar also has experience as a Visiting Faculty at Government Engineering College Thrissur, where she taught from December 2010 to May 2011. Her combined industrial and teaching experience reflects her dedication to sustainable architecture and education.

๐Ÿ“ŠResearch :

Dr. Nina Lazar is a dedicated researcher in the field of sustainable building design and environmental quality. Her doctoral thesis, “Development of a Sustainability Assessment Tool for Residential Building Design in Tropical Climates,” underscores her commitment to advancing sustainable practices in architecture. This tool, currently undergoing the patenting process, is poised to revolutionize how stakeholders integrate sustainability into building design decisions. Her research extends beyond her thesis, with numerous publications in esteemed international journals and conferences. One notable paper, “Benchmarking Critical Criteria for Assessing the Sustainability of Residential Buildings in Tropical Climates,” has set a scientific standard for sustainability assessment in building design. This paper earned her the Indian Institute of Architects National Award in 2021 and commendation at the Indian Institute of Architects Kerala State Award 2021, highlighting her impact on the field. Dr. Lazar’s research also includes mentoring doctoral students focusing on livability and quality of life aspects in building design. Her receipt of a seed grant further demonstrates her commitment to advancing research in sustainable building design and environmental quality.

Awards :

Dr. Nina Lazar is a distinguished professional with a remarkable record of awards and distinctions in the field of architecture and sustainable development. In 2021, she was recognized with the prestigious Indian Institute of Architects National Award in the research category for her outstanding contributions. Additionally, she received commendation at the IIA Kerala State Awards the same year, with two of her entries being shortlisted in the research category. Dr. Lazar’s research efforts have also had a significant impact on industry standards. Her work led to an amendment by the GRIHA Council, which revised the mandatory Solar Heat Gain Coefficient (SHGC) requirement based on her research findings. In addition to her research accolades, Dr. Lazar has been honored for her academic contributions. She received the Best Paper Award at the 2nd International Conference on Sustainable Technologies in Building & Environment. Her academic excellence is further evidenced by her achievements during her undergraduate studies, where she attained First Rank in Bachelor of Architecture from Calicut University in 2010. Dr. Lazar’s commitment to excellence and innovation has been recognized early in her career as well, as she was awarded the Bharat Scouts and Guides Rashtrapathi Award in 2002.

Skills:

Dr. Nina Lazar possesses a diverse set of skills that contribute to her expertise in sustainable architecture and building design. Her proficiency in software such as AutoCAD and Sketchup allows her to create detailed architectural drawings and models. She is also skilled in building simulation software like DesignBuilder and eQuest, enabling her to analyze and optimize building performance for energy efficiency. Dr. Lazar’s proficiency in project scheduling tools like Microsoft Project and Primavera helps her effectively manage architectural projects from conception to completion. Her familiarity with Microsoft Office and Microsoft Visio further enhances her ability to communicate design concepts and project plans. In addition to her technical skills, Dr. Lazar is adept at data analysis using R-Studio and SPSS, allowing her to derive valuable insights from research data. Her strong foundation in sustainable architecture principles and green building rating systems enables her to design environmentally friendly and energy-efficient buildings.

 

๐Ÿ“šPublications :

A comprehensive literature review on development of Building Sustainability Assessment Systems

Authors: N Lazar, K Chithra

Journal: Journal of Building Engineering

Citations: 87

Year: 2020

Comprehensive bibliometric mapping of publication trends in the development of Building Sustainability Assessment Systems

Authors: N Lazar, K Chithra

Journal: Environment, Development and Sustainability

Citations: 47

Year: 2021

Role of culture in sustainable development and sustainable built environment: a review

Authors: N Lazar, K Chithra

Journal: Environment, Development and Sustainability

Citations: 31

Year: 2021

Evaluation of sustainability criteria for residential buildings of tropical climate: The stakeholder perspective

Authors: N Lazar, K Chithra

Journal: Energy and Buildings

Citations: 21

Year: 2021

Benchmarking critical criteria for assessing sustainability of residential buildings in tropical climate

Authors: N Lazar, K Chithra

Journal: Journal of Building Engineering

Citations: 17

Year: 2022

Prioritization of sustainability dimensions and categories for residential buildings of tropical climate: a multi-criteria decision-making approach

Authors: N Lazar, K Chithra

Journal: Journal of Building Engineering

Citations: 17

Year: 2021

A bibliometric analysis of property valuation research

Authors: BV Binoy, MA Naseer, PPA Kumar, N Lazar

Journal: International Journal of Housing Markets and Analysis

Citations: 12

Year: 2021

Green building rating systems from the perspective of the three pillars of sustainability using point allocation method

Authors: N Lazar, K Chithra

Book: Green Buildings and Sustainable Engineering

Citations: 11

Year: 2019

Green Building Rating Systems from the prospect of sustainability dimensions through the building lifecycle

Authors: N Lazar, K Chithra

Journal: Environmental Science and Pollution Research

Citations: 9

Year: 2022

Investigation of key criteria influencing the sustainability of residential buildings in tropical climate

Authors: N Lazar, K Chithra

Journal: IOP Conference Series: Earth and Environmental Science

Citations: 2

Year: 2020

Impact of Land Cover on Land Surface Temperature A Remote Sensing Perspective

Authors: BV Binoy, N Lazar, VM Joshima

Year: 2022

Green Building Rating Systems and Energy Efficiency of a Building from the Building Lifecycle Perspective

Authors: N Lazar, K Chithra

Book: Green Buildings and Sustainable Engineering

Year: 2020