Mahmood Shakiba | Engineering | Best Researcher Award

Assist. Prof. Dr. Mahmood Shakiba | Engineering | Best Researcher Award

Faculty member at Ferdowsi University of Mashhad, Iran

Dr. mahmood shakiba ๐Ÿ‡ฎ๐Ÿ‡ท is an assistant professor at Ferdowsi University of Mashhad, specializing in petroleum engineering with expertise in hydrocarbon reservoirs and enhanced oil recovery (EOR) ๐Ÿ›ข๏ธ. He earned his Ph.D. from Amirkabir University of Technology (2020) ๐ŸŽ“, focusing on nano-assisted smart water for sand production control. With extensive experience in COโ‚‚ and Hโ‚‚ underground storage projects, reservoir characterization, and formation damage remediation, he has held key academic and industrial roles. As a researcher and educator, he has contributed significantly to petroleum engineering, guiding students and leading innovative studies in reservoir engineering and geomechanics ๐Ÿ”ฌ๐Ÿ“š.

Professional Profile

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Education & Experience

Education ๐ŸŽ“

โœ… Ph.D. in Petroleum Engineering (Hydrocarbon Reservoirs), Amirkabir University of Technology (2016-2020)

  • Thesis: Nano-assisted smart water for sand production in unconsolidated sandstone reservoirs.

โœ… M.Sc. in Petroleum Engineering (Hydrocarbon Reservoirs), Shiraz University (2012-2014)

  • Thesis: Enhanced oil recovery & COโ‚‚ storage via carbonated water injection.

โœ… B.Sc. in Petroleum Engineering (Reservoir Engineering), Shiraz University (2008-2012)

  • Thesis: Simulation of solution gas drive in fractured reservoirs.

Work Experience ๐Ÿ› ๏ธ

๐Ÿ”น Assistant Professor โ€“ Ferdowsi University of Mashhad (2023-Present)
๐Ÿ”น Project Supervisor โ€“ Underground COโ‚‚ Storage (2023-Present)
๐Ÿ”น Researcher โ€“ Underground Hโ‚‚ Storage, RIPI (2023-Present)
๐Ÿ”น Technical Manager โ€“ Upstream Oil Research Center, Sharif University (2020-2022)
๐Ÿ”น Technical Supervisor โ€“ MAPSA Co., Tehran (2019-2020)
๐Ÿ”น Industrial Consultant โ€“ MAPSA Co., Tehran (2019-2020)
๐Ÿ”น Senior Lab Equipment Designer โ€“ MAPSA Co., Tehran (2018-2019)
๐Ÿ”น Researcher โ€“ Advanced EOR Research Center, Shiraz University (2011-2014)

Professional Development ๐ŸŒŸ

Dr. mahmood shakiba has significantly contributed to petroleum engineering through teaching, research, and industrial consulting ๐Ÿ“–๐Ÿ”ฌ. His expertise spans reservoir engineering, well testing, and gas reservoirs ๐Ÿš€. At Ferdowsi University, he educates students on reservoir management and maintenance, while leading projects on underground COโ‚‚ and Hโ‚‚ storage. His industry experience includes technical supervision, reservoir characterization, and EOR techniques ๐Ÿญ. Dr. shakiba has also played a key role in laboratory equipment design and geomechanical feasibility studies. His dedication to advancing sustainable energy storage and petroleum recovery has established him as a leader in the field ๐ŸŒ๐Ÿ’ก.

Research Focus ๐Ÿ”ฌ

Dr. shakibaโ€™s research primarily focuses on enhanced oil recovery (EOR), underground storage of COโ‚‚ and Hโ‚‚, and reservoir geomechanics ๐Ÿ—๏ธ. His experimental and simulation studies have explored innovative methods for improving oil recovery and mitigating environmental impact ๐ŸŒฑ. He has investigated nano-assisted smart water flooding, formation damage remediation, and COโ‚‚ sequestration to optimize hydrocarbon reservoir performance. His geological and geomechanical feasibility studies have contributed to safe underground hydrogen storage โšก. His work advances sustainable energy solutions while improving oil and gas recovery efficiency for the future ๐ŸŒ๐Ÿ”‹.

Awards & Honors ๐Ÿ†

๐Ÿ… Technical Leadership Award โ€“ Upstream Oil Research Center, Sharif University
๐Ÿ… Outstanding Research Contribution โ€“ Research Institute of Petroleum Industry (RIPI)
๐Ÿ… Best Thesis Award โ€“ Amirkabir University of Technology (2020)
๐Ÿ… Top Researcher Recognition โ€“ Shiraz University EOR Research Center
๐Ÿ… Best Instructor Award โ€“ Ferdowsi University of Mashhad (2023)

Publication Top Notes

  1. Investigation of oil recovery and COโ‚‚ storage during secondary and tertiary injection of carbonated water in an Iranian carbonate oil reservoir

    • Journal of Petroleum Science and Engineering (2016)
    • Citations: 79
    • Examines how carbonated water injection (CWI) enhances oil recovery and COโ‚‚ storage efficiency in carbonate reservoirs under secondary and tertiary injection scenarios.
  2. A mechanistic study of smart water injection in the presence of nanoparticles for sand production control in unconsolidated sandstone reservoirs

    • Journal of Molecular Liquids (2020)
    • Citations: 35
    • Investigates how smart water, combined with nanoparticles, helps mitigate sand production in weakly consolidated sandstone reservoirs while improving oil recovery.
  3. The impact of connate water saturation and salinity on oil recovery and COโ‚‚ storage capacity during carbonated water injection in carbonate rock

    • Chinese Journal of Chemical Engineering (2019)
    • Citations: 29
    • Analyzes how variations in connate water saturation and salinity influence oil displacement efficiency and COโ‚‚ trapping during CWI in carbonate formations.
  4. Effects of type and distribution of clay minerals on the physico-chemical and geomechanical properties of engineered porous rocks

    • Scientific Reports (2023)
    • Citations: 21* (recently published)
    • Studies how different clay minerals affect the structural integrity and chemical behavior of engineered porous rocks, impacting reservoir performance.
  5. An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    • Journal of Petroleum Science and Engineering (2022)
    • Citations: 15
    • Explores the role of sand grain size variations in determining the permeability, porosity, and mechanical strength of artificial sandstone samples.

Zhou Zhiwu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhou Zhiwu | Engineering | Best Researcher Award

School of Civil and Environmental Engineering at Hunan University of Science and Engineering, China

Zhou zhiwu, a senior engineer and registered tester, is an associate professor and masterโ€™s supervisor at hunan university of science and engineering. he earned his ph.d. in transportation infrastructure and territory from the polytechnic university of valencia (๐Ÿ‡ช๐Ÿ‡ธ) with top honors, including the UPV Outstanding Doctorate and the 2023 Spanish Outstanding Doctoral Award ๐Ÿ†. with 15 years in national engineering projects, he has led major constructions, published 28 research papers ๐Ÿ“„, and serves as a reviewer for 20 SCI journals. his expertise spans (ancient) bridge monitoring, high-speed railway track optimization, and sustainable structural design.

Professional Profile

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Education & Experience ๐ŸŽ“๐Ÿ‘ทโ€โ™‚๏ธ

๐Ÿ“š Education:

  • ๐ŸŽ“ Bachelorโ€™s in Architectural Engineering โ€“ Lanzhou Jiaotong University (2000-2004)
  • ๐ŸŽ“ Masterโ€™s in Transportation Engineering โ€“ Lanzhou Jiaotong University (2013-2016)
  • ๐ŸŽ“ Ph.D. in Transport Infrastructure & Territory โ€“ Polytechnic University of Valencia, Spain (2019-2023) ๐Ÿ…

๐Ÿ’ผ Work Experience:

  • ๐Ÿ— Project Manager โ€“ China Railway 15th Bureau Group (2002-2017)
  • ๐Ÿข Chief Engineer โ€“ Xinjiang Highway Science & Technology Research Institute (2017-2018)
  • ๐Ÿ“– Full-time Teacher & Leader โ€“ Chongqing Public Vocational Transport College (2018-2019)
  • ๐Ÿ”ฌ Doctor & Associate Researcher โ€“ Polytechnic University of Valencia, Spain (2019-2023)
  • ๐ŸŽ“ Associate Professor & Master Supervisor โ€“ Hunan University of Science and Engineering (2023-Present)

Professional Development ๐Ÿš€๐Ÿ”ฌ

Zhou zhiwu is a multidisciplinary researcher and engineer specializing in transportation infrastructure, structural health monitoring, and sustainable development. with over 15 years of experience in large-scale construction projects ๐Ÿ—, he has contributed to high-speed railways ๐Ÿš„, highways ๐Ÿ›ฃ, and industrial buildings ๐Ÿข. he has led and participated in 11 international and national research projects, collaborated with top institutions, and published extensively in SCI-indexed journals ๐Ÿ“š. in addition to research, he is a dedicated educator ๐Ÿ“– and serves as an editorial board member for the American Journal of Environmental Science and Engineering, actively reviewing 148+ research articles.

Research Focus ๐Ÿ”๐Ÿ—

Zhou zhiwuโ€™s research lies in transportation engineering, structural monitoring, and sustainable infrastructure:

  • ๐Ÿ› (Ancient) Bridge & Building Health Monitoring โ€“ Studying structural integrity & durability
  • ๐ŸŒฑ Sustainable Infrastructure โ€“ Coupling optimization for large-scale structures
  • ๐Ÿš„ High-Speed Railway Track Optimization โ€“ Preventing track diseases & enhancing efficiency
  • ๐Ÿ— Indeterminate Structural Design โ€“ Improving extra-large bridge sustainability
  • ๐Ÿ”ฌ Engineering Project Management โ€“ Enhancing efficiency in large-scale construction

his work integrates modern monitoring techniques ๐Ÿ“ก, advanced materials ๐Ÿ—, and sustainable engineering ๐ŸŒฑ to enhance long-term infrastructure performance.

Awards & Honors ๐Ÿ†๐ŸŽ–

  • ๐Ÿ… UPV Outstanding Doctorate Award โ€“ Polytechnic University of Valencia, Spain
  • ๐Ÿ† 2023 Spanish Outstanding Doctoral Award โ€“ Top honor for doctoral research
  • ๐Ÿ— National Engineering Construction Quality Management Award (First Class)
  • ๐Ÿ† First-Class Science & Technology Award โ€“ China Railway Construction Corporation
  • ๐Ÿ… Provincial & Ministerial-Level Awards โ€“ Henan Province (Two awards)
  • ๐Ÿ† China Civil Engineering Society “National Second Prize”
  • ๐ŸŽ– Reviewer for 20 SCI Journals โ€“ Reviewed 148+ articles

Publication Top Notes

  1. Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil

    • Journal of Building Engineering, 2025.
    • DOI: 10.1016/j.jobe.2024.111636
    • Citation (APA):
      Author(s). (2025). Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil. Journal of Building Engineering, XX, 111636.
  2. Three-dimensional finite element-coupled optimisation assessment of extra-large bridges

    • Structures, 2024.
    • DOI: 10.1016/j.istruc.2024.107743
    • Citation (APA):
      Author(s). (2024). Three-dimensional finite element-coupled optimisation assessment of extra-large bridges. Structures, XX, 107743.
  3. Research on coupling optimization of carbon emissions and carbon leakage in international construction projects

    • Scientific Reports, 2024.
    • DOI: 10.1038/s41598-024-59531-4
    • Citation (APA):
      Zhou, Z. (2024). Research on coupling optimization of carbon emissions and carbon leakage in international construction projects. Scientific Reports, XX, 59531. Building the future: Smart concrete as a key element in next-generation construction
    • Construction and Building Materials, 2024.
    • DOI: 10.1016/j.conbuildmat.2024.136364
    • Citation (APA):
      Zhou, Z. (2024). Building the future: Smart concrete as a key element in next-generation construction. Construction and Building Materials, XX, 136364.
  4. The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model

    • Sustainable Cities and Society, 2024.
    • DOI: 10.1016/j.scs.2024.105201
    • Citation (APA):
      Author(s). (2024). The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model. Sustainable Cities and Society, XX, 105201.

Shakil Ahmed | Engineering | Best Researcher Award

Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. ๐Ÿš€๐Ÿ”

Professional Profile

Education & Experience ๐Ÿ“š๐Ÿ‘จโ€๐Ÿซ

  • Ph.D. in Computer Engineering โ€“ Iowa State University (2023) ๐ŸŽ“
  • M.S. in Electrical Engineering โ€“ Utah State University (2019) โšก
  • B.S. in Electrical and Electronic Engineering โ€“ Khulna University of Engineering & Technology, Bangladesh (2014) ๐Ÿ…
  • Assistant Teaching Professor โ€“ Iowa State University (2024โ€“Present) ๐ŸŽ“
  • Researcher & PI โ€“ Leading projects on AI, 6G, cybersecurity, IoT, and digital twins ๐Ÿ”ฌ
  • Advisor & Mentor โ€“ Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI ๐Ÿง‘โ€๐ŸŽ“

Professional Development ๐Ÿ“ˆ๐Ÿง 

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. ๐Ÿš€๐Ÿ”ฌ๐Ÿ“ก

Research Focus ๐Ÿ†๐Ÿ”

Shakil Ahmedโ€™s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning โ€“ Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) ๐Ÿค–
  • Cybersecurity & Quantum Networking โ€“ Secure network protocols, quantum neural networks (QNN) ๐Ÿ”’
  • IoT & Cloud Computing โ€“ System design for connected environments, mobile edge computing โ˜๏ธ
  • Digital Twin & 6G+ Networks โ€“ AI-driven tactile internet, smart infrastructure, and futuristic networking ๐ŸŒ๐Ÿ“ก
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors ๐Ÿ…๐ŸŽ–๏ธ

  • Professional Development Fund โ€“ Iowa State University ($10,000) ๐Ÿ’ฐ
  • Presidential Fellowship โ€“ Utah State University ($90,000) ๐Ÿ†
  • Best Paper Award โ€“ IEEE International Conference on Informatics, Electronics, and Vision (2016) ๐Ÿฅ‡
  • Graduate & Professional Student Senate Research Award โ€“ ISU ($700) ๐Ÿ“œ
  • ECpE Department Support Grant โ€“ ISU ($600) ๐ŸŽ“
  • Professional Advancement Grant (PAG) โ€“ ISU ($400) ๐ŸŽ–๏ธ
  • Military Communications Conference Student Travel Grants โ€“ 2021 & 2022 ($1,000) โœˆ๏ธ
  • Graduate & Professional Student Council Grant โ€“ ISU ($750) ๐Ÿ…
  • ECE Department Support Grant โ€“ Utah State University ($1,000) ๐Ÿ†

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957โ€“975.
  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215โ€“21225.
  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849โ€“852.
  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1โ€“5).
  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20โ€“25).