Gabriella Maselli | Civil Engineering | Research Excellence Award

Dr. Gabriella Maselli | Civil Engineering | Research Excellence Award

Research Fellow | University of Sannio | Italy

Dr. Gabriella Maselli is a researcher in project appraisal and economic evaluation with expertise in cost–benefit analysis, investment risk assessment, and sustainability-based decision models across civil, environmental, and territorial systems. Her work integrates economic modelling, real estate market analysis, and multi-criteria assessment to evaluate long-term environmental, social, and financial impacts of projects. She has contributed to national and international research initiatives on circular economy, infrastructure development, and climate-related risk prevention. Her professional experience includes academic teaching, scientific collaboration on large-scale redevelopment programmes, and the development of innovative analytical frameworks for economic feasibility and property valuation.

Citation Metrics (Scopus)

800

600

400

200

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Citations
635

Documents
52

h-index
13

🟦 Citations    🟥 Documents    🟩 h-index


View Scopus Profile

Featured Publications

Tawakalitu Odubiyi | Engineering | Best Researcher Award

Dr. Tawakalitu Odubiyi | Engineering | Best Researcher Award

Research Associate at INTI International University | Malaysia

Dr. Tawakalitu Odubiyi is a Teaching and Research Associate with over six years of international experience spanning Germany, Malaysia, the UK, Finland, South Africa, and Nigeria. She holds a PhD in Civil Engineering from Technische Universität Berlin and a Master’s in Construction Management from the University of Johannesburg. Her expertise lies in Quantity Surveying, Civil Engineering, and the application of Digital Twin and BIM technologies in the built environment.

Profile:

Academic Background

Dr. Odubiyi holds a PhD in Civil Engineering from Technische Universität Berlin, Germany, where her research focused on digital transformation in construction. She also earned a Master of Technology in Construction Management from the University of Johannesburg, South Africa. Her academic background reflects a strong foundation in both technical and managerial aspects of the built environment.

Professional Experience:

Dr. Odubiyi has gained diverse research and teaching experience through various academic and industrial positions. She is currently serving as an Independent Researcher at INTI International University in Malaysia, where she conducts empirical research and leads seminars on sustainable technologies. Previously, she worked as a Research Scientist at Technische Universität Berlin, contributing to projects on business models for Cloud BIM and Digital Twin solutions. Her industry experience includes roles as a BIM Consultant at Bentley Systems in London and a BIM Researcher at Trimble Inc. in Finland, where she developed strategic digital roadmaps and conducted case studies on cost estimation and contract administration. She also served as a Teaching Assistant at the University of Johannesburg and as a Mentor and Lecturer at TU Berlin, demonstrating a strong commitment to student support and academic leadership.

Research and Publications:

Dr. Odubiyi has authored 16 scholarly articles using a mix of qualitative, quantitative, and grounded theory approaches. She has actively presented her findings at international conferences and workshops. Her research focuses on digital transformation in construction, cost management innovation, and the role of BIM in contract and project administration.

Areas of Expertise:

Her core areas of expertise include Quantity Surveying, Construction Management, BIM integration, contract administration (FIDIC, NEC), and curriculum design. She is proficient in BIM tools such as Autodesk Revit, Navisworks, CostX, and Bentley iTwin. She is also experienced in research methodology, grant writing, and academic mentoring across cross-cultural and distance learning environments.

Technical and Professional Skills:

Dr. Odubiyi is skilled in Agile methodologies and tools including Salesforce CRM, Confluence, Jira, Kanban, and BPMN. She has applied these in both academic project management and industry collaborations.

Awards and Recognition:

Dr. Odubiyi has received several prestigious awards, including the Marie Curie Horizon Fellowship from the European Union (2020), the Global Excellence Scholarship from the University of Johannesburg (2019), and the National Research Fellow Bursary (2018). In 2023, she received Community Impact Recognition from the Young Quantity Surveyors of Nigeria for her contributions to the profession.

Citation:

Cited by
All: 141
Since 2020: 132

h-index
All: 8
Since 2020: 8

i10-index
All: 7
Since 2020: 7

Publication Top Notes:

  • Using neural network model to estimate the rental price of residential properties
    2019
    21 citations

  • Strengths, weaknesses, opportunities and threats of virtual team in Nigerian construction industry
    2016
    21 citations

  • Information and communication technology application challenges in the construction industry: A narrative review
    2019
    14 citations

  • A concise review of the evolution of information and communication technologies for engineering innovations
    2021
    13 citations

  • Impact of security on rental price of residential properties: evidence from South Africa
    2019
    13 citations

  • Barriers to implementing quality management system in the Industry 4.0 era
    2019
    12 citations

  • Strategies for building information modelling adoption in the South African construction industry
    2019
    12 citations

  • Impact of Green features on rental value of residential properties: evidence from South Africa
    2024
    8 citations

  • Assessing South African construction worker’s knowledge of modern technologies for effective material management
    2021
    6 citations

  • Evaluation of the use of modern technologies for effective material management in South African construction industry
    2019
    5 citations

  • Bridging the gap between academic and practice Quantity Surveying in Nigerian construction industry
    2019
    5 citations

  • Roles and effects of utilizing recent technologies on material management for construction work in South Africa
    2019
    4 citations

  • Forecasting rental values of residential properties: a neural network model approach
    2020
    3 citations

  • A model validation and predicting the rental values of residential properties using logistic regression model
    2020
    2 citations

  • Information and Communication Technologies for construction services in South Africa: A PROCSA Scope
    2021
    1 citation

  • An Evaluation of Information and Communication Technology Application in South African Construction Industry
    2019
    1 citation

Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

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

 

Lilian Huang | Engineering | Best Researcher Award

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 GeometryIEEE Transactions on Circuits and Systems I, 2024. Read here

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

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

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

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

Zhiyao Zhang | Engineering | Best Researcher Award

Prof. Zhiyao Zhang | Engineering | Best Researcher Award

Professor University of Electronic Science and Technology of China

Zhiyao Zhang is a Professor at the University of Electronic Science and Technology of China (UESTC), specializing in microwave photonics and high-speed optoelectronic devices. He earned his Ph.D. in Optical Engineering from UESTC in 2010. Currently, he serves in the School of Optoelectronic Science and Engineering and the Research Center for Microwave Photonics (RC-MWP). He was a Visiting Scholar at the University of Ottawa in 2017. His research contributions include opto-electronic oscillators, photonic analog-to-digital converters, and microwave photonic radars, with over 150 peer-reviewed journal papers published.

Profile

Research Gate

Scopus

🎓 Education

  • Ph.D. in Optical Engineering – University of Electronic Science and Technology of China (UESTC), 2010
  • Visiting Scholar – Microwave Photonics Research Laboratory, University of Ottawa, 2017

💼 Experience

  • Professor, School of Optoelectronic Science and Engineering, UESTC
  • Researcher, Research Center for Microwave Photonics (RC-MWP), UESTC
  • Visiting Scholar, Microwave Photonics Research Laboratory, University of Ottawa (2017)
  • Industry Collaboration, Partnered with Huawei Technologies Co. Ltd to develop next-generation broadband wireless base stations using Radio-over-Fiber (RoF) technology

🔬 Research Interests

  • Microwave Photonics
  • High-speed Optoelectronic Devices
  • Opto-electronic Oscillators (OEOs)
  • Photonic Analog-to-Digital Converters
  • Microwave Photonic Radars

🏆 Awards

  • Award Nomination: Best Researcher Award
  • Research Impact: Over 960 citations
  • Patents: 20 patents (published/under process)
  • Professional Membership: Chinese Society of Optical Engineering

📚 Publications Top Notes:

Zhang, Z., et al. (2023). “Ultra-wideband chaotic signal generation using nonlinear optoelectronic oscillators.” Journal of Lightwave Technology. 🔗 Link (Cited by 45 articles)

Zhang, Z., et al. (2022). “Photonic Analog-to-Digital Conversion with Enhanced Resolution.” Optics Express. 🔗 Link (Cited by 38 articles)

Zhang, Z., et al. (2021). “Externally-triggered ultra-wideband pulse generation in broadband nonlinear OEOs.” IEEE Transactions on Microwave Theory and Techniques. 🔗 Link (Cited by 50 articles)

Zhang, Z., et al. (2020). “Actively Mode-Locked Optoelectronic Oscillators for Short Microwave Pulse Generation.” Nature Communications. 🔗 Link (Cited by 72 articles)

Frequency Response Enhancement of Photonic Sampling Based on Cavity-Less Ultra-Short Optical Pulse Source

Self-referenced electro-optic response measurement of dual-parallel Mach-Zehnder modulators employing single-tone level control and low-frequency bias swing

Self-calibrated characterization of high-speed photodetectors based on slowly-varying-envelope photonic sampling

Linearization in the digital domain for photonic sampling analog-to-digital conversion

Externally-excited Short Pulse Train Generation in a Broadband Nonlinear Optoelectronic Oscillator

Optical Frequency Comb Generation Based on Single-chip Integrated LNOI Intensity and Phase Modulators