Shakil Ahmed | Engineering | Best Researcher Award

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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. πŸš€πŸ”

Professional Profile

Education & Experience πŸ“šπŸ‘¨β€πŸ«

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

Professional Development πŸ“ˆπŸ§ 

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. πŸš€πŸ”¬πŸ“‘

Research Focus πŸ†πŸ”

Shakil Ahmed’s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

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

Awards & Honors πŸ…πŸŽ–οΈ

  • Professional Development Fund – Iowa State University ($10,000) πŸ’°
  • Presidential Fellowship – Utah State University ($90,000) πŸ†
  • Best Paper Award – IEEE International Conference on Informatics, Electronics, and Vision (2016) πŸ₯‡
  • Graduate & Professional Student Senate Research Award – ISU ($700) πŸ“œ
  • ECpE Department Support Grant – ISU ($600) πŸŽ“
  • Professional Advancement Grant (PAG) – ISU ($400) πŸŽ–οΈ
  • Military Communications Conference Student Travel Grants – 2021 & 2022 ($1,000) ✈️
  • Graduate & Professional Student Council Grant – ISU ($750) πŸ…
  • ECE Department Support Grant – Utah State University ($1,000) πŸ†

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, 957–975.

  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, 21215–21225.

  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), 849–852.

  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. 1–5).

  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. 20–25).

 

Zhan-Long Wang | Engineering | Best Scholar Award

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Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Bernardine Chidozie | Engineering | Best Researcher Award

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Mrs. Bernardine Chidozie | Engineering | Best Researcher Award

Mrs, Bernardine Chidozie, University of Aveiro, Portugal

Mrs. Bernardine Chidozie is a dedicated researcher and PhD student fellow at the University of Aveiro, Portugal, focusing on digital transformation, simulation modeling, and supply chain optimization, especially in the context of Industry 4.0 and 5.0. Her research employs simulation-based methods and digital tools to improve decision-making and operational performance in complex systems, such as healthcare and sustainable supply chains.

 

PROFILE

Orcid profile

Educational Details

With an academic foundation in engineering, Mrs. Chidozie has contributed significantly to projects like the “Sustainable Supply Chain Management Model for Residual Agroforestry Biomass,” utilizing a web platform to support her research, which began in 2022. Her publications explore the impact of digitalization on supply chains, including the optimization of biomass supply chains for sustainability. She has authored books like Simulation-Based Approaches to Enhance Operational Decision Support in Healthcare 5.0 and published articles in notable journals, such as Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix.

Professional Experience

Professionally, Mrs. Chidozie has been involved in various research and consultancy projects, including industry-relevant studies that analyze the role of simulation and digital transformation in optimizing supply chains. She is an active member of the Council for the Regulation of Engineering in Nigeria (COREN) and collaborates on initiatives that bridge research and real-world applications. Her primary goal is to create innovative, technology-driven strategies to enhance sustainability, efficiency, and resilience in industrial and healthcare sectors.

Research Interests

Digital transformation, simulation modeling, supply chain optimization, Industry 4.0 and 5.0 applications, sustainable biomass supply chains, healthcare systems improvement, and decision-support systems.

Top Notable Publications

Chidozie, B.C. (2024). Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach. Sustainability, Published: 2024-11-07, DOI: 10.3390/su16229709, Source: Crossref.

Chidozie, B.C. (2024). Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach. Logistics, Published: 2024-10-18, DOI: 10.3390/logistics8040107, Source: Crossref.

Chidozie, B.C. (2024). The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study. Production Engineering Archives, Published: 2024-03-01, DOI: 10.30657/pea.2024.30.12, Source: Crossref.

Chidozie, B.C. (2024). Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization – An Empirical Study. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54671-6_15, ISBN: 9783031546709, Source: Crossref.

Chidozie, B.C. (2024). Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54664-8_43, ISBN: 9783031546648, Source: Crossref.

Chidozie, B.C. (2024). Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review. (book chapter), DOI: 10.1007/978-3-031-38165-2_78, Source: Crossref.

Β Conclusion

Mrs. Bernardine Chidozie’s research achievements, particularly her focus on digital transformation and sustainable supply chains, make her a suitable candidate for the Best Researcher Award. Her work is relevant and impactful, addressing key challenges in Industry 4.0 and Healthcare 5.0. Her publications, ongoing projects, and industry involvement illustrate her dedication to advancing sustainability and efficiency across industries, marking her as a distinguished researcher in her field.

 

 

 

 

 

Dongmin Shin | Engineering | Best Researcher Award

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Assist. Prof. Dr. Dongmin Shin | Engineering | Best Researcher Award

Assist. Prof. Dr. Dongmin Shin, Gyeongsang National University, South Korea

Dongmin Shin, Ph.D., is an Assistant Professor of Smart Energy and Mechanical Engineering at Gyeongsang National University, South Korea. His expertise encompasses mechanical system reliability and energy solutions, backed by extensive experience in research and academia at institutions like KIMM and KAIST.

PROFILE

Orcid profile

Educational Details

Dr. Shin holds a Ph.D. in Mechanical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), completed in August 2019, where he also earned his M.S. in Ocean System Engineering in February 2015. His foundational studies began at Hanyang University, where he received a B.S. in Mechanical Engineering in 2013, with a break for military service from 2008 to 2010.

Professional Experience

Dr. Shin joined Gyeongsang National University as an Assistant Professor in September 2022. Prior to this, he was a Post-doctoral Researcher at the Korea Institute of Machinery & Materials (KIMM), focusing on reliability assessment in mechanical systems. His academic journey includes roles at KAIST, where he served as a Research Assistant Professor at the Institute for Security Convergence Research, and at Kunsan National University as a Research Professor within the Shipbuilding & Ocean Equipment Industry Empowerment Center. Additionally, he has experience as a Teaching and Research Management Assistant at KAIST, supporting courses in Fluid Mechanics, Numerical Analysis, and mechanical practice, and assisting with 2-D and 3-D wave tank research.

Research Interests

Dr. Shin’s research interests lie in mechanical system reliability, smart energy systems, ocean engineering, and fluid mechanics, with applications in mechanical system safety and energy efficiency.

Top Notable Publications

“Design Analysis Using Evaluation of Surf-Riding and Broaching by the IMO Second Generation Intact Stability Criteria for a Small Fishing Boat”

Authors: Not provided

Year: 2024

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse12112066

“Numerical Study on Compact Design in Marine Urea-SCR Systems for Small Ship Applications”

Authors: Not provided

Year: 2023

Journal: Energies

DOI: 10.3390/en17010187

“Numerical analysis of thermal and hydrodynamic characteristics in aquaculture tanks with different tank structures”

Authors: Not provided

Year: 2023

Journal: Ocean Engineering

DOI: 10.1016/j.oceaneng.2023.115880

“Evaluation of Parametric Roll Mode Applying the IMO Second Generation Intact Stability Criteria for 13K Chemical Tanker”

Authors: Not provided

Year: 2023

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse11071462

“Wave-induced vibration of a fully submerged horizontal cylinder close to a free surface: a theory and experiment”

Authors: Not provided

Year: 2022

Journal: Ships and Offshore Structures

DOI: 10.1080/17445302.2021.1950344

“Assessment of Excessive Acceleration of the IMO Second Generation Intact Stability Criteria for the Tanker”

Authors: Not provided

Year: 2022

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse10020229

Conclusion

Assist. Prof. Dr. Dongmin Shin’s strong educational background, extensive professional experience, innovative research contributions, commitment to teaching and mentoring, and effective research management make him a highly suitable candidate for the Best Researcher Award. His achievements across academia, applied research, and project management reflect the qualities recognized by this award, underscoring his potential to continue contributing meaningfully to engineering and research fields.