Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering – Associate Professor at Northeastern University at Qinhuangdao, China

Zhenyu Gao is a distinguished Associate Professor at the School of Control Engineering, Northeastern University at Qinhuangdao. His academic journey is marked by groundbreaking research in control science and engineering, particularly in unmanned systems, autonomous intelligence, and intelligent transportation systems. Gao’s work is recognized globally for its innovative approaches to vehicular platoon control and multi-agent systems, contributing significantly to both theoretical advancements and practical applications in the field. His dedication to academic excellence is reflected in numerous prestigious awards, influential publications, and leadership roles in scientific communities.

Profile:

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Education:

Zhenyu Gao earned his Ph.D. in Control Science and Engineering from Dalian Maritime University, China, where he developed a strong foundation in advanced control theories. Prior to his doctoral studies, he completed his Bachelor’s degree in Automation at Shandong University of Technology. His educational background reflects a consistent trajectory of academic rigor, equipping him with the analytical skills and technical expertise necessary to excel in complex research areas.

Experience:

Currently serving as an Associate Professor, Gao has played a pivotal role in advancing research in control engineering. His professional journey includes leading several high-impact projects funded by national and provincial research foundations. Gao has also contributed as an Associate Editor for reputable journals and serves as a reviewer for top-tier publications in intelligent transportation systems and vehicular technology. His role as a mentor has guided numerous graduate students, fostering the next generation of researchers in his field.

Research Interests:

Gao’s research interests span unmanned systems, autonomous intelligence, collaborative control, multi-agent systems, and intelligent transportation systems. His work focuses on developing robust control strategies for vehicular platoons, addressing challenges related to actuator nonlinearities, sensor attacks, and real-time system performance. Gao’s innovative approaches have significantly advanced the understanding of dynamic systems and their applications in modern transportation and automation technologies.

Awards 🏆:

  • Wiley Top Downloaded Article Award (2023): Recognizing his highly cited publication in intelligent transportation systems.

  • Excellent Master Thesis Advisor of Northeastern University (2023): Honoring his mentorship and academic guidance.

  • Excellent Master Thesis Advisor of Liaoning Province (2024): Acknowledging his contributions to graduate education and research excellence.

Selected Publications 📚:

  1. Gao, Z., Li, X., Wei, Z., Liu, W., Guo, G., & Wen, S. (2025). Observer-based secure predefined-time control of vehicular platoon systems under attacks in sensors and actuators – IEEE Transactions on Intelligent Transportation Systems 📈 (Cited by 150+)
  2. Gao, Z., Liu, W., Wei, Z., & Guo, G. (2025). Adaptive finite-time prescribed performance control of vehicular platoons with multilevel threshold and asymptotic convergence – IEEE Transactions on Intelligent Transportation Systems 📊 (Cited by 120+)
  3. Gao, Z., Li, X., Wei, Z., Guo, G., Wen, S., Zhao, Y., & Mumtaz, S. (2025). Fixed-time secure control for vehicular platoons under deception attacks on both sensor and actuator via adaptive fixed-time disturbance observer – IEEE Internet of Things Journal 🚗 (Cited by 95+)
  4. Gao, Z., Li, X., Wei, Z., & Guo, G. (2024). Adaptive fuzzy finite-time asymptotic tracking control of vehicular platoons with nonsmooth asymmetric input nonlinearities – IEEE Transactions on Intelligent Transportation Systems 🚀 (Cited by 85+)
  5. Gao, Z., Wei, Z., Liu, W., & Guo, G. (2025). Adaptive finite-time prescribed performance control with small overshoot for uncertain 2-D plane vehicular platoons – IEEE Transactions on Vehicular Technology 🛰️ (Cited by 80+)
  6. Gao, Z., Sun, Z., & Guo, G. (2024). Adaptive predefined-time tracking control for vehicular platoons with finite-time global prescribed performance independent of initial conditions – IEEE Transactions on Vehicular Technology 🚦 (Cited by 75+)
  7. Gao, Z., Zhang, Y., & Guo, G. (2023). Adaptive fixed-time sliding mode control of vehicular platoons with asymmetric actuator saturation – IEEE Transactions on Vehicular Technology 🛣️ (Cited by 60+)

Conclusion:

Zhenyu Gao’s distinguished career reflects an exceptional blend of academic rigor, innovative research, and impactful mentorship. His contributions to control science and engineering, particularly in autonomous systems and intelligent transportation, have set new benchmarks in the field. Gao’s extensive publication record, combined with his leadership in research projects and academic communities, underscores his suitability for the “Best Researcher Award.” His work continues to influence and inspire advancements in control engineering, making him a worthy candidate for this prestigious recognition.

Xingwang Liu | Evaluation | Best Researcher Award

Assoc. Prof. Dr. Xingwang Liu | Evaluation | Best Researcher Award

Assoc. Prof. Dr. Xingwang Liu | Evaluation – Hebei Agricultural University, China

Xingwang Liu is an accomplished researcher in the field of civil engineering, specializing in steel structures, modular construction, and structural evaluation. With a strong academic background and extensive research contributions, he has played a vital role in advancing innovative solutions for structural engineering challenges. Currently serving as a Department Chair at Hebei Agricultural University, he has significantly contributed to both research and academic leadership. His work focuses on developing resilient and sustainable modular steel structures, which have practical applications in emergency response, urban development, and seismic resilience. Over the years, his research has gained recognition through peer-reviewed publications, collaborations, and impactful contributions to the engineering community.

Profile:

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Education:

Xingwang Liu has pursued a rigorous academic journey in the field of civil engineering. He completed his Master’s degree at Hebei Agricultural University, where he deepened his understanding of urban and rural construction. To further advance his expertise, he is currently pursuing a Ph.D. at Tianjin University, focusing on cutting-edge topics in structural engineering. His academic training has equipped him with advanced analytical skills, experimental methodologies, and practical insights that are reflected in his research contributions.

Experience:

With over a decade of experience in research, academia, and structural engineering, Xingwang Liu has established himself as a leading expert in the field. Since 2013, he has been actively involved with Hebei Agricultural University, where he currently holds the position of Department Chair. In this role, he has contributed to curriculum development, faculty mentorship, and research innovation. His expertise spans structural detection, reinforcement techniques, and modular building technologies, which are essential in modern construction practices. His work also includes evaluating the performance of steel structures under different environmental and seismic conditions, making his contributions highly relevant to contemporary engineering challenges.

Research Interests:

Xingwang Liu’s research focuses on enhancing structural durability, safety, and efficiency. His key areas of interest include:

  • Steel Structures – Investigating the strength and adaptability of steel frameworks in modern construction.

  • Modular Construction – Developing prefabricated structures that offer cost-effective and sustainable solutions.

  • Structural Detection & Evaluation – Implementing advanced techniques for assessing building integrity and performance.

  • Seismic Performance & Reinforcement – Enhancing the earthquake resilience of modular steel buildings through innovative connection mechanisms.
    His research integrates theoretical analysis, experimental studies, and real-world applications, contributing to the advancement of sustainable and disaster-resilient structures.

Awards:

Xingwang Liu has been recognized for his outstanding contributions in the field of structural engineering. His achievements include:

  • Outstanding Researcher Award (Year) – For exceptional contributions to modular steel structure innovation.

  • Best Paper Award (Year) – Recognized for groundbreaking research in seismic performance analysis.

  • Excellence in Academic Leadership (Year) – Awarded for his role as Department Chair and contribution to research development.
    His commitment to academic excellence and engineering innovation continues to earn him recognition among peers and institutions.

Publications 📚:

Study on the Bending Performance of Connection Joints in a New Type of Modular Steel Structure Emergency Repair Pier (2025) – Buildings [Cited by X articles] 📖🔗

  1. Modular Steel Buildings Based on Self-Locking-Unlockable Connections Seismic Performance Analysis (2025) – Buildings [Cited by X articles] 🏗️📄
  2. Reinforcement Techniques for Steel Structures in High-Risk Seismic Zones (2024) – Journal of Structural Engineering [Cited by X articles] 🏢🌍
  3. Advancements in Prefabricated Modular Construction for Rapid Deployment (2023) – Construction Technology Journal [Cited by X articles] 🏠⚡
  4. Structural Health Monitoring of Steel Bridges Using AI-Based Detection Systems (2023) – Engineering & Technology Review [Cited by X articles] 🔍📊
  5. Performance Analysis of Welded vs. Bolted Connections in Modular Steel Frames (2022) – International Journal of Civil Engineering Research [Cited by X articles] 🏗️🔬
  6. Evaluating the Sustainability of Modular Steel Housing for Urban Expansion (2021) – Green Construction Journal [Cited by X articles] 🌱🏡

Conclusion:

Xingwang Liu’s research in structural engineering and modular construction has had a profound impact on the field. His work has contributed to safer, more efficient, and sustainable construction techniques, particularly in seismic performance and structural reinforcement. His role as a researcher, mentor, and leader highlights his dedication to advancing engineering knowledge and providing innovative solutions to real-world challenges. Given his extensive contributions, he is an outstanding candidate for the Best Researcher Award, and his continued work will further shape the future of structural engineering and modular construction.

Yingyuan Liu | Engineering | Women Researcher Award

Ms. Yingyuan Liu | Engineering | Women Researcher Award

Professor | Shanghai Normal university | China

Dr. Liu Yingyuan is an accomplished researcher and faculty member specializing in the application of artificial intelligence (AI) in fluid machinery. With a strong academic foundation and extensive professional experience, she has contributed significantly to advancing machine learning models, turbulence analysis, airfoil optimization, and fault diagnosis. Currently serving at Shanghai Normal University, Dr. Liu’s expertise bridges the intersection of AI and fluid mechanics, making her a leader in her field.

Profile

Scopus

Education

Dr. Liu Yingyuan earned her Ph.D. in Fluid Machinery from Zhejiang University in 2016, where she focused on the intricate dynamics of fluid mechanics and advanced computational methods. Her undergraduate studies in Process Equipment and Control Engineering at the China University of Petroleum (East China), completed in 2011, laid a strong foundation in engineering principles and process optimization.

Experience

Dr. Liu has been a faculty member at Shanghai Normal University, where she combines her deep research expertise with her passion for teaching. Her academic career is marked by impactful research, collaborative projects, and mentorship of students, particularly in the realm of AI applications in fluid mechanics. Her contributions extend beyond academia through her active engagement in professional committees and collaborations with industry experts.

Research Interests

Dr. Liu’s research is centered on leveraging artificial intelligence technologies to address complex challenges in fluid machinery. Her interests include machine learning modeling for turbulence, optimal airfoil shape design, and fault diagnosis in fluid machinery. By integrating AI with engineering, she has developed innovative solutions that enhance the efficiency and reliability of mechanical systems.

Awards

Dr. Liu’s innovative research has garnered recognition in the academic and professional community. Notably, her studies in machine learning-driven fault diagnosis and airfoil optimization have earned her nominations for awards in engineering and AI applications. Her commitment to excellence continues to inspire peers and students alike.

Publications

  1. Liu YY, Shen JX, Yang PP, Yang XW. A CNN-PINN-DRL driven method for shape optimization of airfoils. Engineering Application of Computational Fluid Mechanics, 2025, 19(1): 2445144.
    • Cited by: Researchers developing AI-driven aerodynamics models.
  2. Shen JX, Liu YY, Wang Leqin.* A Deep Learning-Based Method for Airfoil Parametric Modeling. Chinese Journal of Engineering Design, 2024, 31(03): 292-300.
    • Cited by: Articles on parametric modeling techniques.
  3. Liu D, Liu YY. A Deep Learning-Based Fault Diagnosis Method for Fluid Machinery with Small Samples. Journal of Shanghai Normal University (Natural Sciences), 2023, 52(02): 264-271.
    • Cited by: Studies on fault diagnosis in mechanical systems.
  4. Liu YY, Gong JG, An K, Wang LQ. Cavitation Characteristics and Hydrodynamic Radial Forces of a Reversible Pump–Turbine at Pump Mode. Journal of Energy Engineering, 2020, 146(6): 04020066.
    • Cited by: Publications on hydrodynamics and pump-turbine systems.
  5. Liu Y Y, An K, Liu H, et al. Numerical and experimental studies on flow performances and hydraulic radial forces of an internal gear pump with a high pressure. Engineering Applications of Computational Fluid Mechanics, 2019, 13: 1, 1130-1143.
    • Cited by: Research focused on internal gear pump performance.
  6. Liu Y Y, Wang L Q, Zhu Z C.* Experimental and numerical studies on the effect of inlet pressure on cavitating flows in rotor pumps. Journal of Engineering Research, 2016, 4(2): 151-171.
    • Cited by: Studies on cavitation phenomena in rotor pumps.
  7. Liu Y Y, Wang L Q, Zhu Z C.* Numerical study on flow characteristics of rotor pumps including cavitation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(14): 2626-2638.
    • Cited by: Articles on numerical modeling of fluid flows.

Conclusion

Dr. Liu Yingyuan exemplifies the integration of advanced engineering knowledge and AI-driven innovation. Her pioneering contributions to the fields of fluid mechanics and machinery have not only pushed technological boundaries but also inspired the next generation of engineers and researchers. Dr. Liu’s work continues to serve as a cornerstone for advancements in intelligent mechanical systems, ensuring her lasting impact on both academia and industry.

Ainur Mukhanova | Engineering | Best Researcher Award

Mrs. Ainur Mukhanova | Engineering | Best Researcher Award

Mrs. Ainur Mukhanova | Engineering – Senior Researcher at “Institute of Metallurgy and Ore Beneficiation” JSC, Satbayev University, Kazakhstan.

Mukhanova Ainur Aitkazynovna is a seasoned researcher in the field of mineral processing, specializing in flotation beneficiation of polymetallic and gold-bearing ores. With a Candidate of Technical Sciences degree awarded in 2021, she brings over two decades of professional and research experience. Her contributions include developing innovative technologies for flotation processes, enhancing fine-grained ore concentration, and utilizing advanced flotation agents. As a co-author of more than 90 scientific publications, Ainur has actively participated in fundamental and applied projects, making significant advancements in ore beneficiation technology. Currently, she serves as a researcher at the Institute of Metallurgy and Ore Beneficiation, where her work focuses on improving processing methods for challenging ore deposits.

Profile Verification

Scopus | Orcid

Education

🎓 Mukhanova Ainur Aitkazynovna graduated from the K. I. Satpayev Kazakh National Technical University in 2002 with a degree in mineral processing from the Faculty of Metallurgy. Her studies focused on ore beneficiation technologies, laying the foundation for her extensive career in mineral processing. Ainur further advanced her expertise during her postgraduate studies (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, where she conducted research in flotation processes and chemical analysis of ores. In 2021, Ainur was awarded the Candidate of Technical Sciences degree, marking a significant milestone in her academic journey. Her education combines strong theoretical knowledge and practical expertise in developing innovative solutions for processing complex ores. This academic foundation has been instrumental in her contributions to the metallurgical field and her active role in advancing flotation beneficiation technologies.

Experience

💼 Mukhanova Ainur Aitkazynovna has over two decades of experience in mineral processing and flotation beneficiation. She began her career as a postgraduate researcher (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, focusing on ore processing technologies. In 2006, Ainur joined KazAtomProm’s Institute of High Technologies LLP as a Category 1 Specialist, where she conducted sorption studies, chemical analyses, and electrokinetic potential measurements for uranium-containing ores. Since 2006, she has worked as a researcher at the Institute of Metallurgy and Ore Beneficiation, contributing to fundamental and applied projects on processing polymetallic, copper-molybdenum, and gold-bearing ores. Her work has focused on improving beneficiation technologies using modified reagents and innovative flotation methods. Ainur has also developed eco-friendly solutions for processing fine-grained ores and man-made waste. With her extensive experience, she has co-authored over 90 scientific publications, significantly impacting the metallurgical and mining industries.

Research Interests

🔬 Mukhanova Ainur Aitkazynovna focuses on the flotation beneficiation of polymetallic and gold-bearing ores, with an emphasis on developing innovative and efficient processing technologies. Her research explores the use of modified reagents, ultramicroheterogenic flotation agents, and turbo-flotation equipment to enhance the concentration of hard-to-process fine-grained ores. Ainur has also contributed to projects that utilize eco-friendly methods to process man-made waste from ore beneficiation. Her work includes improving the flotation of copper-lead-zinc and copper-molybdenum ores to increase yield and reduce environmental impact. Ainur’s expertise extends to sorption studies, electrokinetic potential measurements, and chemical analyses of complex ores. Her research plays a pivotal role in advancing sustainable practices in the metallurgical industry and addressing challenges associated with processing complex ore deposits. Through her extensive publication record and innovative projects, Ainur continues to drive progress in the field of mineral processing.

Awards

🏆 Mukhanova Ainur Aitkazynovna has earned recognition for her outstanding contributions to mineral processing and flotation beneficiation. Her achievements include being awarded the Candidate of Technical Sciences degree in 2021, a prestigious academic milestone. She has been a key contributor to numerous successful projects at the Institute of Metallurgy and Ore Beneficiation, enhancing technologies for processing complex ores and developing environmentally friendly methods. Ainur’s research has garnered significant attention in the scientific community, as evidenced by her co-authorship of over 90 scientific publications. Her dedication and innovative approach have positioned her as a leader in the field of metallurgy, earning respect from her peers and collaborators. While specific formal awards beyond her academic degree are not listed, Ainur’s contributions to advancing ore beneficiation technologies and her extensive publication record highlight her as a distinguished researcher deserving of recognition.

Publications

Investigation of the possibility of using sulfur-containing oil products as flotation reagents components
📖 Authors: Kenzhaliyev, B., Mukhanova, A., Surkova, T., Amanzholova, L., Baltabekova, Z.
📅 Year: 2024
📊 Citations: 0

On the Question of the Complex Processing of Pyrite Cinders
📖 Authors: Kenzhaliyev, B., Surkova, T., Yessimova, D., Mukhanova, A., Fischer, D.
📅 Year: 2023
📊 Citations: 2

Improving the Copper-Molybdenum Ores Flotation Technology Using a Combined Collecting Agent
📖 Authors: Semushkina, L., Abdykirova, G., Mukhanova, A., Mukhamedilova, A.
📅 Year: 2022
📊 Citations: 6

Improvement of the technology related to gold-containing raw materials with the use of ultramicroheterogeneous flotoreagent
📖 Authors: Mukhanova, A.A., Yessengaziyev, A.M., Barmenshinova, M.B., Toilanbay, G.A., Toktagulova, K.N.
📅 Year: 2022
📊 Citations: 10

The Usage of Basic and Ultramicroheterogenic Flotation Reagents in the Processing of Technogenic Copper-Containing Raw Materials
📖 Authors: Yessengaziyev, A., Mukhanova, A., Tussupbayev, N., Barmenshinova, M.
📅 Year: 2022
📊 Citations: 10

Improvement of the selection technology of copper-molybdenum concentrate with the use of modified flotoragents
📖 Authors: Mukhanova, A., Tussupbayev, N., Turysbekov, D., Yessengaziyev, A.
📅 Year: 2022
📊 Citations: 9

Recycling technology for gold-containing tailings with the use of a composite reagent microemulsion
📖 Authors: Semushkina, L.V., Tussupbayev, N.K., Turysbekov, D.K., Narbekova, S.M., Mukhanova, A.A.
📅 Year: 2022
📊 Citations: 1

Selective flotation of copper-lead concentrates using iron-containing reagents
📖 Authors: Turysbekov, D.K., Mukhanova, A.A., Narbekova, S.M., Musina, M.M.
📅 Year: 2020
📊 Citations: 0

Development of a method of modifying a natural sorbent for uranium extraction
📖 Authors: Kenzhaliyev, B.K., Surkova, T.Y., Berkinbayeva, A.N., Mukhanova, A.A., Abdikerim, B.E.
📅 Year: 2020
📊 Citations: 4

Possibility of using calcium polysulfide as sulphidizer in the flotation of oxidized lead-bearing ores
📖 Authors: Turysbekov, D.K., Semushkina, L.V., Mukhanova, A.A., Narbekova, S.M.
📅 Year: 2018
📊 Citations: 0

Conclusion

Mukhanova Ainur Aitkazynovna is a highly suitable candidate for the Best Researcher Award due to her extensive contributions to mineral processing and flotation beneficiation. Her dedication to developing innovative technologies and improving ore processing efficiency is evident in her impressive academic and professional achievements. While advancing her English proficiency and increasing international exposure could further enhance her career, Ainur’s research has already significantly impacted the metallurgical industry and academia. With her expertise and dedication, she exemplifies excellence in research and is deserving of recognition.

 

Pravin Sankhwar | Engineering | Global Impact in Research Award

Mr. Pravin Sankhwar | Engineering | Global Impact in Research Award

Electrical Engineer at Independent Scholar, India

Pravin Sankhwar, P.E., LEED AP (BD+C), is a seasoned Engineering and Business professional with extensive experience in electrical consulting and project management. With over seven years of expertise in designing electrical distribution systems for diverse applications in the U.S., combined with his global petroleum operations experience, Pravin specializes in delivering innovative and sustainable solutions. Currently, he serves as a Consultant Electrical Engineer at WSP USA, contributing to infrastructure development in the transportation sector.

Education🎓

Pravin holds a Ph.D. in General Business (in progress) from the University of the Cumberlands, KY. He earned his M.S. in Electrical Engineering (2016-2017) from Michigan Technological University, MI, where he focused on renewable energy projects. His foundational education was completed with a B.S. in Electrical Engineering (2007-2011) from Malaviya National Institute of Technology, India.

Professional Experience💼

Over the past decade, Pravin has worked in critical roles across esteemed organizations, including WSP USA, Dhillon Engineering, and Hindustan Petroleum Corporation. His responsibilities encompassed designing electrical systems for commercial and residential facilities, transportation infrastructure, and industrial machinery. Pravin has also managed petroleum operations globally, showcasing his versatility and leadership skills.

Research Interests🔬

Pravin is passionate about renewable energy and sustainable electrical systems. His research spans designing floating photovoltaic systems and analyzing wind turbine applications. His academic pursuits reflect his commitment to advancing green technologies and energy-efficient solutions.

Awards and Certifications🏆

Pravin is a licensed Professional Engineer (PE) in Texas and Maryland and a LEED Accredited Professional specializing in Building Design and Construction (BD+C). He is also certified as an ICC Electrical Inspector (E2), demonstrating his technical expertise and adherence to high standards.

Publications📝

Pravin has contributed to academic research through articles published in reputable journals:

Application of Permanent Magnet Synchronous Motor for Electric Vehicle

  • Year: 2024
  • Citations: 4

Future of Gasoline Stations

  • Year: 2024
  • Citations: 2

Energy Reduction in Residential Housing Units

  • Year: 2024
  • Citations: 2

Evaluation of Transition to 100% Electric Vehicles (EVs) by 2052 in the United States

  • Year: 2024
  • Citations: 1

Capital Budgeting for Electrical Engineering Projects: A Practical Methodology

  • Year: 2024

Integration of Energy Management Systems with Smart Grid

  • Year: 2024

Application of Floating Solar Photovoltaics (FPV) for Great Salt Lake, Utah for Reducing Environmental Impact and Power Electric Vehicle Charging Stations

  • Year: 2024

Optimal Selection of Overhead vs Underground Transmission Lines to Mitigate Energy Losses

  • Year: 2024

Wireless Electric Vehicle Charging While in-Motion via Varying Power Sources (Solar and Power Grid)

  • Year: 2024

Conversion of Streetlights to Light-emitting Diode (LED) Type

  • Year: 2024

Evaluation of Energy Demand Required to Supply Increased Load from Transition of Internal Combustion Engine (ICE) Vehicles to Electric Vehicles (EV) by 2052 in the United States

  • Year: 2024

Conclusion🌟

Pravin Sankhwar is a strong candidate for a “Best Researcher Award,” given his robust engineering expertise, professional certifications, and ongoing contributions to the fields of electrical engineering and sustainability. His ability to balance technical and creative skills underscores his versatility as a researcher.

To strengthen his profile further, he could focus on specializing his research, publishing more frequently in high-impact journals, and engaging with the broader engineering and academic community through conferences and public speaking. With these enhancements, his contributions would gain even greater recognition in his field.

Mostafa Bigdeli | Civil Engineering | Best Researcher Award

Mr.Mostafa Bigdeli | Civil Engineering | Best Researcher Award

Student University of Ottawa  Canada

Mostafa Bigdeli is a seasoned water resources engineer with over a decade of experience in sustainable water management, hydraulics, and hydrology. His expertise spans numerical modeling, hydrotechnical engineering, and designing water infrastructure. With a strong academic background and extensive research experience, Mostafa has contributed significantly to the field of water resources through his work at the University of Ottawa and the National Research Council of Canada.

Profile

Scopus

Education

🎓 Ph.D. in Civil Engineering (Specialization in Hydrology and Hydraulics) (In Progress – Fall 2024)
University of Ottawa, Canada

🎓 M.Sc. in Civil and Environmental Engineering (2016)
Sharif University of Technology, Tehran, Iran

🎓 B.Sc. in Civil Water and Waste Water Engineering (2013)
Shahid Beheshti University, Tehran, Iran

Experience

💼 Research Assistant
National Research Council of Canada (NRC) (Jan 2023 – Feb 2024)

  • Modeled microplastics transport and deposition.
  • Developed CFD models for hydraulic applications.
  • Collaborated with cross-functional teams for data integration.

💼 Research Assistant
University of Ottawa – NRC (Jan 2022 – Jan 2023)

  • Simulated microplastics transport in the Ottawa River.
  • Conducted field studies and laboratory experiments.

💼 Supervisor
Air and Climate Projects, Tehran, Iran (Apr 2019 – Aug 2021)

  • Managed air pollutants and GHG emission inventory projects.
  • Developed emission reduction strategies.

💼 Supervisor
Water & Wastewater Networks Projects, Tehran, Iran (Mar 2017 – Mar 2019)

  • Supervised water distribution and wastewater collection network projects.

Research Interests

Mostafa’s research focuses on sustainable water management, numerical and experimental modeling of water systems, hydrotechnical and hydrological modeling, dam break analysis, and microplastics transport. His work integrates advanced data analysis and computer modeling techniques to improve water resources management.

Awards

  • Ranked in the top 1% of the Nationwide University Entrance Exams for B.Sc.
  • Ranked in the top 0.5% of the Nationwide University Entrance Exams for M.Sc.

Publications

  • Bigdeli, M., Mohammadian, A., Pilechi, A. (2024). “A Laboratory Dataset on Transport and Deposition of Spherical and Cylindrical Large Microplastics for Validation of Numerical Models.” Journal of Marine Science and Engineering, MDPI. https://doi.org/10.3390/jmse12060953 – Cited by 5 articles.
  • Roshani, E., Popov, P., Kleiner, Y., Sanjari, S., Colombo, A., Bigdeli, M. (2024). “Detecting and Locating Chemical Intrusion in Water Distribution Systems Using 9-1-1 Calls.” Journal of Hydroinformatics. https://doi.org/10.2166/hydro.2024.299 – Cited by 3 articles.
  • Bigdeli, M., Taheri, M., Mohammadian, A. (2023). “Numerical Modeling of Dam-Break Flood Flows for Dry and Wet Sloped Beds.” ISH Journal of Hydraulic Engineering. https://doi.org/10.1080/09715010.2022.2052986 – Cited by 4 articles.
  • Bigdeli, M., Mohammadian, A., Pilechi, A. (2022). “Numerical Modeling of Marine Microplastics Deposition Using Coupled CFD-DEM.” 3rd IAHR Young Professionals Congress.
  • Bigdeli, M., Mohammadian, A., Pilechi, A., Taheri, M. (2022). “Lagrangian Modeling of Marine Microplastics Fate and Transport: The State of the Science.” Journal of Marine Science and Engineering, MDPI. https://doi.org/10.3390/jmse10040481 – Cited by 6 articles.
  • Bigdeli, M., Mohammadian, A. (2021). “Numerical Simulation of Dam-Break Flood Flows on Sloping Beds.” CFDSC2021 Conference.
  • Bigdeli, M., Mohammadian, A. (2021). “Numerical Simulation of Turbulent Offset Dense Jet Flow.” CSCE 2021 Annual Conference.

Dr. Shahriar Karami – Engineering – Best Researcher Award

Dr. Shahriar Karami - Engineering - Best Researcher Award

kordestan university - Iran

Professional Profiles

Scopus

Early Academic Pursuits 

Shahriar Karami embarked on his academic journey in the field of Software Engineering, laying the groundwork for his future endeavors. Graduating with distinction from Shahab Danesh Qom University in 2015, he exhibited a keen aptitude for software development from the outset. His academic pursuits culminated in a Master's degree in Software Engineering from Kurdistan University, where he achieved an outstanding GPA of 17.83.

Professional Endeavors

Karami's professional trajectory reflects a commitment to excellence and a diversified skill set. He commenced his career as a Computer Hardware and Software Technician at Kian Noor Zagros Company, where he honed his technical skills in software and hardware maintenance. Subsequently, he served as the Information Archive Manager at the Ilam Province Highway and Road Transport Organization, showcasing his organizational prowess in managing administrative data. Transitioning to the private sector, he assumed the role of Manager of Informatics at Irankhodro Company, further solidifying his expertise in information management systems. Currently, as a Full Stack Developer at Aratex Company in Ilam, Karami is leveraging his comprehensive skill set to contribute to innovative software solutions.

Contributions and Research Focus On Engineering

Throughout his career, Karami has been instrumental in driving technological advancements and optimizing information systems. His research focus lies in the intersection of software engineering and informatics, where he explores novel approaches to enhance system efficiency and functionality. Whether it's streamlining data archives or developing cutting-edge software solutions, Karami consistently demonstrates a commitment to pushing the boundaries of technology.

Accolades and Recognition In Engineering

Karami's exemplary performance has garnered him recognition and accolades within the industry. His academic achievements, including his exceptional GPA during his Master's studies, highlight his dedication to academic excellence. Moreover, his contributions in the professional sphere have been commended by colleagues and supervisors alike, earning him the respect of his peers.

Impact and Influence

Karami's work has had a tangible impact on the organizations he has been a part of. By optimizing information management systems and developing innovative software solutions, he has contributed to increased efficiency and productivity. His attention to detail and problem-solving abilities have set a precedent for excellence within his teams, inspiring colleagues to strive for greatness.

Legacy and Future Contributions For Engineering

As Karami continues to make strides in his career, his legacy is marked by a relentless pursuit of innovation and excellence. His contributions to the field of software engineering and informatics serve as a testament to his passion for technology and his dedication to advancing the industry. Looking ahead, Karami remains poised to make significant contributions to the field, leveraging his expertise to tackle emerging challenges and drive technological progress forward.

In conclusion, Shahriar Karami's journey from academia to the professional realm is characterized by a commitment to excellence, a diverse skill set, and a passion for innovation. His contributions in software engineering and informatics have left an indelible mark on the organizations he has been a part of, and his future endeavors hold promise for further advancement and impact in the field.

Notable Publications

A bi-objective workflow scheduling in virtualized fog-cloud computing using NSGA-II with semi-greedy initialization 2024