Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

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Dr. Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

Ph.D at Karadeniz Technical University, Turkey

Dr. Mohammad Azim Eirgash is a Ph.D. researcher in Construction Management at Karadeniz Technical University (Türkiye), with dual citizenship in Afghanistan and Türkiye. He holds a Ph.D. and MSc from KTÜ and a B.Tech in Civil Engineering from the National Institute of Technology Warangal (India). His research focuses on multi-objective optimization, artificial intelligence in construction project scheduling, and time-cost-quality-CO₂ trade-off problems.

Profile:

🎓 Academic Background:

  • Ph.D. in Construction Management – Karadeniz Technical University, Türkiye (2019–2024)

  • M.Sc. in Construction Management – KTÜ, Türkiye (2015–2018)

  • B.Tech. in Civil Engineering – NIT Warangal, India (2010–2014)

  • Scholarships: ICCR (India) 🇮🇳 and Türkiye Bursları 🇹🇷

🧠 Research Focus & Skills:

  • Specializations:

    • Multi-objective Optimization

    • AI & Machine Learning in Project Scheduling

    • Time-Cost-Quality-CO₂ Trade-off Models

    • Metaheuristic Algorithms (e.g., TLBO, Jaya, Rao)

  • Software Tools: Primavera P-7, MATLAB, Python 🐍

📈 Scientific Achievements:

  • h-index: 9

  • Total Citations: 317

    • Scopus: 184

    • Web of Science: 105

  • Publications:

    • 20+ peer-reviewed articles in Q1/Q2 journals

    • 5+ national/international conferences

    • Springer Book Chapter Contributor

🏆 Awards & Recognition:

  • 🥇 Young Scientist Award – International Young Scientist Awards 2022

  • ✍️ Reviewer for top journals:

    • Automation in Construction, Scientific Reports, Applied Soft Computing

🏗️ Professional Roles:

  • Karadeniz Technical University – Researcher

  • Baybars YAPI, Türkiye – Construction Consultant

  • Lord Tech Datus, India – Research Consultant

  • TEOREM LTD, Türkiye – Educator & Engineer

🌍 Global Research Impact:

Dr. Eirgash is a rising expert in integrating artificial intelligence with construction management. His international background and collaborations across India, Türkiye, and Europe highlight his global mindset and practical contributions to smart infrastructure and sustainable project planning.

Publication Top Notes:

  1. Time–cost trade-off optimization in generalized construction projects using an opposition learning-augmented multi-objective Jaya algorithm
    Asian Journal of Civil Engineering, 2025-06-23
    DOI: 10.1007/s42107-025-01401-z

  2. Optimization of time–cost–quality–CO₂ emission trade-off problems via super oppositional TLBO algorithm
    Asian Journal of Civil Engineering, 2025-04
    DOI: 10.1007/s42107-025-01282-2

  3. Influence of jumping rate on opposition-based Jaya algorithm for discrete time–cost trade-off optimization problems
    Uludağ University Journal of The Faculty of Engineering, 2025-04-11
    DOI: 10.17482/uumfd.1561366

  4. Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods
    Asian Journal of Civil Engineering, 2025-03
    DOI: 10.1007/s42107-024-01235-1

  5. A dual opposition learning-based multi-objective Aquila Optimizer for trading-off time–cost–quality–CO₂ emissions of generalized construction projects
    Engineering Computations, 2024-10-10
    DOI: 10.1108/EC-01-2024-0043

  6. A novel oppositional teaching learning strategy based on the golden ratio to solve the time–cost–environmental impact trade-off optimization problems
    Expert Systems with Applications, 2023
    DOI: 10.1016/j.eswa.2023.119995

  7. Modified dynamic opposite learning assisted TLBO for solving time–cost optimization in generalized construction projects
    Structures, 2023
    DOI: 10.1016/j.istruc.2023.04.091

  8. A multi-objective decision-making model based on TLBO for the time–cost trade-off problems
    Structural Engineering and Mechanics, 2019
    DOI: 10.12989/sem.2019.71.2.139

  9. Time–cost trade-off optimization of construction projects using teaching learning-based optimization
    KSCE Journal of Civil Engineering, 2019
    DOI: 10.1007/s12205-018-1670-6

  10. Time–cost trade-off optimization with a new initial population approach
    Teknik Dergi (Technical Journal of Turkish Chamber of Civil Engineers), 2019
    DOI: 10.18400/TEKDERG.410934

 

Jamal Alotaibi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Jamal Alotaibi | Engineering | Best Researcher Award

Department of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Dr. Jamal Alotaibi is an accomplished researcher and educator in the field of Computer Engineering. With expertise in IoT, AI, and security, he has contributed significantly to the advancement of Smart Transportation and Vehicle-to-Vehicle (V2V) communication. Currently serving as the Head of the Computer Engineering Department at Qassim University, his work focuses on secure and efficient computing frameworks for the Internet of Vehicles (IoV).

Profile

Google Scholar

Education 🎓

  • Ph.D. in Computer Engineering (2018 – 2022) – Wayne State University, USA

  • M.Sc. in Electrical and Computer Engineering (2016 – 2017) – Wayne State University, USA

  • B.Sc. in Computer Engineering (2008 – 2013) – Qassim University, KSA

Experience 👨‍🏫

  • Qassim University (2022 – Present) – Assistant Professor, now Head of the Computer Engineering Department (2024–Present)

  • Wayne State University (2016 – 2022) – Research Assistant in IoT and Security Labs

  • STC Company (2013) – Network Engineer

  • Consultations:

    • Ford Motor Company (2020 – 2022) – Embedded Systems Consultant for Electric Vehicles

    • Verizon Company (2021–2022) – V2V Infrastructure Consultant

    • City of Detroit (2021–2023) – IoV Consultant

Research Interests 🔬

  • Internet of Vehicles (IoV) and Fog Computing

  • Software-Defined Networking (SDN) for Smart Transportation

  • Blockchain-based Security Solutions

  • Machine Learning for Secure Communication Systems

Awards 🏆

  • Head of IoT Research Lab – Wayne State University

  • Head of Research Committee – Qassim University (2023 – Present)

Publications Top Notes: 📚

SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021

Read Here

A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles

IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021

Read Here

PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain

IEEE World AI IoT Congress, 2022

Read Here

Insight into IoT Applications and Common Practice Challenges

Insight Journal, 2022

Read Here

A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

SDN-Enabled Efficient Resource Utilization in a Secure, Trustworthy and Privacy Preserving IOV-Fog Environment

Lilian Huang | Engineering | Best Researcher Award

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Prof. Lilian Huang | Engineering | Best Researcher Award

Professor Harbin Engineering University China

Lilian Huang is a professor at the School of Information and Communication Engineering, Harbin Engineering University. With a strong background in navigation, guidance, and control, she has made significant contributions to fractional-order chaotic systems, nonlinear dynamics, and chaos-based encryption. Her research has been widely published in high-impact journals, and she holds multiple patents related to chaotic system control and encryption techniques.

Profile

Scopus

🎓 Education

Lilian Huang earned her Ph.D. (2005) and Master’s (2002) in Navigation, Guidance, and Control from Harbin Institute of Technology. She completed her Bachelor’s in Automation from Zhongyuan University of Technology in 1996. Her academic journey laid a strong foundation for her expertise in control systems and nonlinear dynamics.

💼 Experience

Currently serving as a professor at Harbin Engineering University since 2012, Lilian Huang has also worked as an associate professor (2005-2012) and postdoctoral researcher (2005-2008) at the same institution. She was a visiting scholar at the University of Delaware in 2016-2017. Before joining academia, she worked as an assistant engineer at Harbin Dong’an Engine Manufacturing Co., Ltd. (1996-2000), gaining industry experience.

🔬 Research Interests

Lilian Huang’s research focuses on fractional-order chaotic systems, nonlinear dynamics, and chaos control. She explores their applications in encryption, secure communication, and dynamic system analysis. Her work contributes to developing novel chaotic systems with enhanced security features for information processing.

🏆 Awards & Recognitions

She has led several prestigious research projects funded by the National Natural Science Foundation of China and Heilongjiang Province. Her innovations in chaos-based encryption and nonlinear control have been recognized through numerous patents and high-impact publications.

📚 Publications Top Notes: 

Multi-Image Encryption Algorithm Based on Novel Spatiotemporal Chaotic System and Fractal Geometry – IEEE Transactions on Circuits and Systems I, 2024. Read here

Design and Implementation of Grid-Wing Hidden Chaotic Attractors with Only Stable Equilibria – IEEE Transactions on Circuits and Systems I, 2023. Read here

Generating Multiwing Hidden Chaotic Attractors with Only Stable Node-Foci – IEEE Transactions on Industrial Electronics, 2024. Read here

A Construction Method of N-Dimensional Non-Degenerate Discrete Memristive Hyperchaotic Map – Chaos, Solitons & Fractals, 2022. Read here

A Novel 3D Non-Degenerate Hyperchaotic Map with Ultra-Wide Parameter Range and Coexisting Attractors – Nonlinear Dynamics, 2023. Read here

Exploring extreme multistability in cyclic symmetric conservative systems via two distinct methods

Image encryption based on 2D-SAHM chaotic system and a novel DNA operation rule

Locally Active Memristor-Based De-Jong map and Information Hiding

 

Guangze Pan | Engineering | Best Paper Award

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Mr. Guangze Pan | Engineering | Best Paper Award

Senior Engineer China Electronic Product Reliability and Environmental Testing Research Institute China

Guangze Pan is a Senior Engineer at the China Electronic Product Reliability and Environmental Testing Research Institute. He earned his master’s degree from Beihang University and has accumulated over ten years of experience in reliability engineering. Throughout his career, he has contributed to over 20 major research projects, many of which were funded by the National Natural Science Foundation of China and the National Key Research and Development Program. Guangze has published more than 20 high-level papers and holds 17 invention patents. His work is highly regarded in the field of reliability testing and evaluation. 🛠️📑

Profile

Scopus

Orcid

Education 🎓

Guangze Pan completed his master’s degree at Beihang University, a leading institution in China. This foundation has equipped him with extensive knowledge and expertise in reliability engineering, which he has built upon throughout his career.

Experience 💼

With over a decade of experience, Guangze has worked on numerous high-profile projects, contributing significantly to the development of advanced reliability testing technologies. He has been instrumental in the research and application of parallel reliability testing techniques, improving testing efficiency by 83%. This has positively impacted industries such as industrial robotics, where his innovations have significantly enhanced reliability, increasing the mean time between failures from 6,000 hours to 80,000 hours.

Research Interests 🔬

Guangze’s primary research interest lies in reliability testing and evaluation, particularly in multi-component, multi-stress, and multi-profile systems. He focuses on rapid reliability testing of complex systems, aiming to improve efficiency and precision. His work has been vital in elevating the reliability of industrial robots and other critical systems.

Awards 🏆

Guangze Pan’s contributions have been recognized through prestigious awards, including the second prize of the Science and Technology Award from the China Instrument Society. His research has also been appraised by the Guangdong Society of Mechanical Engineering, where it was acknowledged for reaching international leading levels.

Publications Top Notes: 📚

Guangze has published over 20 research papers in high-impact journals, with significant contributions in reliability engineering. He has an h-index of 27, and his work has influenced the development of cutting-edge technologies. For more information on his publications, visit his ResearchGate profile.

A novel machine learning-based imputation strategy for missing data in step-stress accelerated degradation test

Study on Simulation Analysis of Secondary Board Card with Multi-Physical Field Coupling

A reliability evaluation method of complex electromechanical products based on the multi-stress coupling acceleration model

A reliability analysis method based on the mixed correlated competition model considering multi-performance degradation and sudden failures

A Novel Machine Learning-Based Imputation Strategies for Missing Data in Step-Stress Accelerated Degradation Test

Fault-tolerant Scheduling Method Based on Imprecise Calculation for Real-time System of Aviation Equipment

A Reliability Evaluation Method for Multi-performance Degradation Products Based on Accelerated Degradation Testing