Ali Nazari – Sustainable Engineering – Best Scholar Award

Ali Nazari - Sustainable Engineering - Best Scholar Award

Sharif University of Technology - Iran

AUTHOR PROFILE

SCOPUS

CURRENT ROLE AND EXPERIENCE

Ali Nazari is an experienced Teaching Assistant with a strong background in construction materials and structural analysis. He has served at prestigious institutions such as Sharif University of Technology in Tehran, Iran, where he assisted in teaching courses on Construction Materials and Concrete Technology under the supervision of Dr. Mohammadhasan Ramesht and Dr. Vahab Toufigh. He also held a Teaching Assistant position at the University of Mazandaran in Babolsar, Iran, focusing on Structural Analysis under the guidance of Dr. Mahdi Nematzadeh.

RESEARCH INTERESTS

Ali’s research interests are diverse and impactful, encompassing Rehabilitation and Strengthening Techniques for Existing Structures, Application of Fiber Reinforced Polymer (FRP), and Polymer Concrete. He is also dedicated to Nondestructive Testing and Structural Health Monitoring using Ultrasonic Techniques, Laboratory Testing of Structural Components, and the Application of Green Construction Materials. Additionally, Ali explores Structural Fire Engineering and the integration of Machine Learning into structural analysis.

HONORS AND ACHIEVEMENTS

Ali has been recognized for his academic excellence, ranking in the top 1% out of approximately 148,429 participants in the National Post-Secondary University Entrance Exam in Iran in September 2017. He also ranked 27th in the nationwide M.Sc. Civil Engineering program entrance exam among over 30,000 candidates in October 2021. His leadership skills were evident when he served as the Secretary of the University of Mazandaran Students' Scientific Association in the Department of Civil Engineering from December 2020 to August 2021.

RESEARCH CONTRIBUTIONS

Ali has made significant contributions to the field of civil engineering through his research. He co-authored a paper with Nematzadeh and Tayebi in 2022, titled “Post-fire impact behavior and durability of steel fiber-reinforced concrete containing blended cement–zeolite and recycled nylon granules as partial aggregate replacement,” published in the Archives of Civil and Mechanical Engineering. In 2024, he collaborated with Toufigh on a paper examining the effects of elevated temperatures and re-curing on concrete containing rice husk ash, which appeared in Construction and Building Materials. Ali also presented a conference paper on the compressive strength analysis of fly ash-based geopolymer concrete using a machine learning approach at the Second International Congress of Civil Engineering, Architecture, Building Materials, and Environment.

APPLICATION OF GREEN CONSTRUCTION MATERIALS

Ali is passionate about sustainable construction practices, particularly the application of green construction materials. His research focuses on developing eco-friendly solutions and incorporating materials like blended cement-zeolite and recycled nylon granules to enhance the durability and environmental impact of construction projects.

NONDSTRUCTIVE TESTING AND STRUCTURAL HEALTH MONITORING

Ali’s expertise extends to nondestructive testing and structural health monitoring, utilizing advanced ultrasonic techniques. His work in this area aims to improve the safety and longevity of structures by identifying and addressing potential issues without causing damage.

PERSONAL INTERESTS AND ACTIVITIES

Outside of his professional and academic pursuits, Ali enjoys a variety of activities that enrich his life. He is an avid reader and translator, enjoys computing, and has a keen interest in research. His hobbies also include swimming, bicycle riding, art, photography, and traveling, all of which contribute to his well-rounded personality and diverse skill set.

NOTABLE PUBLICATION

Effects of elevated temperatures and re-curing on concrete containing rice husk ash

Authors: Nazari, A., Toufigh, V.
Year: 2024
Journal: Construction and Building Materials, 439, 137277

Spatiotemporal deep learning approach for estimating water content profiles in soil layers

Authors: Fazel Mojtahedi, F., Ghaffari, M.A., Rahmati, S., Sadeghi, H., Vanapalli, S.K.
Year: 2023
Conference: E3S Web of Conferences, 382, 22003

Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran

Authors: Ghorbani, Z., Khosravi, A., Maghsoudi, Y., Javadnia, E., Nazari, A.
Year: 2022
Journal: Scientific Reports, 12(1), 13998

Correction to: Comparison of Soil Strength Parameters in a Small and Large Scale Direct Shear Test (Advances in Science, Technology & Innovation, 10.1007/978-3-030-01665-4_41)

Authors: Mojtahedi, S.F.F., Rezvani, S., Nazari, A.
Year: 2019
Journal: Advances in Science, Technology and Innovation, pp. C1–C3

Correction to: Comparison of Soil Strength Parameters in a Small and Large Scale Direct Shear Test (Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards, Advances in Science, Technology & Innovation, 10.1007/978-3-030-01665-4_41)

Authors: Mojtahedi, S.F.F., Rezvani, S., Nazari, A.
Year: 2018
Journal: Advances in Science, Technology and Innovation, pp. C1–C3

Mohammad Mirzehi – Life Cycle Assessment – Best Researcher Award

Mohammad Mirzehi - Life Cycle Assessment - Best Researcher Award

Tarbiat Modares - Iran

AUTHOR PROFILE

GOOGLE SCHOLAR

Based on the provided information about Mohammad Mirzehi, he appears to be a strong candidate for the Research for Community Impact Award for several reasons:

RESEARCH FOCUS AND IMPACT

Mohammad's research focuses on optimizing mine planning and operations using advanced techniques such as operations research, data science, and machine learning. His work includes addressing environmental concerns like greenhouse gas emissions and dust through innovative planning strategies.

EXPERIENCE AND EXPERTISE:

With four years of experience in mining engineering research, Mohammad has contributed significantly to projects involving open-pit and underground mining operations. His involvement in projects like sustainable stochastic long-term planning of open-pit mines demonstrates a commitment to integrating environmental considerations into mining practices.

PUBLICATION RECORD:

Mohammad has publications that showcase his innovative approach, such as developing novel models for short-term planning in open-pit mines and forecasting copper prices using advanced algorithms. These publications indicate his ability to produce impactful research outputs that can influence both academic and industry practices.

ACADEMIC ENGAGEMENT:

As a Research Assistant and Teacher Assistant at Tarbiat Modares University, Mohammad has actively collaborated on various mining engineering projects and courses. His teaching role also underscores his commitment to sharing knowledge and fostering the next generation of mining engineers.

TRACK RECORD OF IMPACTFUL RESULTS:

Mohammad's track record includes addressing real-world challenges in mining operations, from optimizing equipment performance to incorporating geo-metallurgical uncertainty in planning. His work in revitalizing ecosystems affected by mining activities further demonstrates a holistic approach to sustainable mining practices.

IN CONCLUSION

Mohammad Mirzehi's blend of technical expertise, commitment to sustainability, and impactful research outcomes makes him a suitable candidate for the Research for Community Impact Award. His contributions not only advance the field of mining engineering but also promote environmentally responsible practices within the industry.

NOTABLE PUBLICATION

A hybrid model for back-break prediction using XGBoost machine learning and metaheuristic algorithms in Chadormalu iron mine 2023 (11)

Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): a case study from an iron ore mine 2023 (8)

A novel hybrid XGBoost methodology in predicting penetration rate of rotary based on rock-mass and material properties 2024 (6)

Sustainable long-term production planning of open pit mines: An integrated framework for concurrent economical and environmental optimization 2024

Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis 2024

Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery 2023 (2)