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

Xifeng Xie | Engineering | Best Researcher Award

Prof. Xifeng Xie | Engineering | Best Researcher Award

Professor of Electrical Engineering at Southwest Jiaotong University, China

Prof. Xifeng Xie is a Professor at the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He holds B.S. and M.S. degrees in Electrical Engineering from the same university and is currently pursuing a Ph.D. in Energy and Power Engineering. Since 2006, he has been actively engaged in academia and industry, with a professorship at Guangxi Vocational College of Water Resources and Electric Power since 2019. His research focuses on battery chargers, power electronic converters, and reactive power compensators. He has published 8 SCI/Scopus-indexed journal articles, authored 2 books, holds 7 patents, and has led several funded research and industry projects. Prof. Xie’s innovations—such as an isolated resonant voltage balancing circuit—have significantly improved system efficiency and reduced operational costs. He is also a reviewer for Hongshui River Magazine and a member of the Chinese Society for Electrical Engineering.

Profile:

🏛️ Institution & Designation:

Professor, School of Electrical Engineering
Southwest Jiaotong University, Chengdu, China

🎓 Academic Background:

Prof. Xie earned his B.S. and M.S. in Electrical Engineering from Southwest Jiaotong University in 2002 and 2006. He is currently pursuing a Ph.D. in Energy and Power Engineering at the same institution.

👨‍🏫 Professional Journey:

Since 2006, he has served at Guangxi Vocational College of Water Resources and Electric Power and became a full professor in 2019.

Research Areas:

His research focuses on:

  • 🔋 Battery chargers

  • 🔌 Power electronic converters

  • ⚙️ Reactive power compensators

🧠 Key Contributions:

He has developed an isolated resonant voltage balancing circuit and dead-time compensation strategy, leading to:

  • 🔽 Current unbalance reduced to 2.6%

  • ⚡ Power factor improved to 0.997

  • 🚀 Efficiency increased to 98.2%

  • 💰 Reduced component count and system costs

📊 Research & Innovation:

  • 🧪 Research Projects: 3 completed/ongoing

  • 🏭 Industry Projects: 5

  • 📖 Books Published: 2 (ISBN)

  • 🧾 Patents: 7 (published/under process)

  • 📚 Journals (SCI/Scopus): 8

  • ✍️ Editorial Role: Reviewer, Hongshui River Magazine

🌐 Collaborations & Memberships:

  • 🤝 Collaborator with the National Natural Science Foundation of China

  • 🎓 Distinguished Scholar Program of Guangxi Higher Education Institutions

  • 🔧 Member, Chinese Society for Electrical Engineering

Publication Top Notes:

  1. The Constant Power Transmission Control for Suppressing DC-Link Voltage Ripple Effect of Single-Phase AC–DC–AC Converter
    IEEE Transactions on Power Electronics, August 2025.
    DOI: 10.1109/TPEL.2025.3556470
    Authors: Minyang Zou, Linghui Meng, Jianglin Nie, Jiajin Li, Linzhe Li, Xiao Lv, Cheng Zhang, Xifeng Xie, Zeliang Shu

  2. Predictive Control Method with Conduction Mode Detection to Suppress Input Current Distortion of Three-Level Power Factor Correction
    IET Electric Power Applications, November 2024.
    DOI: 10.1049/elp2.12491
    Authors: Xifeng Xie, Zeliang Shu, Rongxin Chen, Jianghong Yin, Chunxiang Ling

 

Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Ms. Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Research Scholar at  National Institute of Technology Andhra Pradesh, India

Dr. Beulah Sujan K is a researcher in Wireless Communication Networks with a Ph.D. in Heterogeneous Cognitive Radio Networking from NIT Andhra Pradesh. Her expertise spans dynamic spectrum access, soft fusion schemes, and automated frequency coordination. She holds an M.Tech in ECE (MEMS) from Pondicherry University and a B.Tech in ECE from Acharya Nagarjuna University, both with distinction.

Profile:

🎓 Academic Background:

  • Ph.D. in Heterogeneous Cognitive Radio Networking, NIT Andhra Pradesh

  • M.Tech (ECE – MEMS), Pondicherry University – CGPA: 9.22/10

  • B.Tech (ECE), Acharya Nagarjuna University – CGPA: 9.2/10

🧠 Core Skills:

  • Mathematical Analysis

  • Numerical Methods

  • Algorithm Design

  • Monte Carlo Simulations

  • Performance Evaluation

🔍 Research Interests:

  • Wireless Communication Networks

  • Dynamic Spectrum Access

  • Soft Fusion Techniques

  • Cognitive Radio Networks

  • Automated Frequency Coordination Systems

🧪 Technical Proficiency:

  • MATLAB

  • Optimization Algorithms

  • Intellisuite Software

  • LaTeX for Technical Documentation

📚 Teaching & Mentorship:

  • Courses: Analog & Digital Communications, Wireless Communications, Signals & Systems

  • Labs: Communication Systems, LICA Lab

  • Mentoring UG/PG students in advanced communications

🏅 Achievements:

  • 🏆 UGC-NET Qualified (2018, 2019, 2024)

  • 🎯 GATE Qualified (2023)

  • 🎓 PG Merit Scholarship (2017)

  • 🥈 Silver Medal – State-Level Tech Quiz (2015)

  • 🥇 Gold Medal – Technical Quiz (2014)

📄 Key Publications:

  • IEEE, Springer, and SCI-indexed journals

  • Topics: Cognitive Radio, Spectrum Sensing, MEMS, Soft Fusion

  • Recent work under review in IEEE Transactions on Cognitive Communications and Signal Processing

Publication:

Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

Jamal Alotaibi | Engineering | Best Researcher Award

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

Jebin Samuvel T | Engineering | Global Impact in Research Award

Mr. Jebin Samuvel T | Engineering | Global Impact in Research Award

Research Scholar Indian Institute of Technology Madras India

Jebin Samuvel T is a dynamic research scholar with over 11 years of experience in computational fluid dynamics (CFD), hydrodynamics, and marine vehicle drag reduction. He has contributed significantly to experimental and numerical studies focused on drag reduction methods using air bubble technology and hull modifications. With a strong academic foundation and hands-on industry-oriented research, he blends theoretical expertise with practical implementation. Currently pursuing a Ph.D. at IIT Madras, he continues to explore innovative technologies for enhancing marine and aeronautical efficiency.

Profile

Scopus

Google Scholar

Orcid

🎓 Education

Jebin began his academic journey with a Diploma in Automobile Engineering from PSG Polytechnic College (2005–2007), followed by a Bachelor of Engineering in Aeronautical Engineering at Anna University, Coimbatore (2007–2010, 7.6 CGPA). He then completed a Master’s in Aeronautical Engineering at Park College of Engineering and Technology (2010–2012, 7.9 CGPA). Presently, he is pursuing his Doctorate in Ocean Engineering at IIT Madras (2018–Present, 7.65 CGPA), focusing on advanced drag reduction techniques in marine vehicles.

💼 Experience

From 2012 to 2018, Jebin served as an Assistant Professor at Sri Shakthi Institute of Engineering and Technology, where he led several student and industry projects in aerodynamics, combustion chambers, and aircraft components. Since 2018, he has been a Research Scholar at IIT Madras, conducting groundbreaking experimental and numerical studies on bubble drag reduction (BDR) in shallow waters, hull vane impact on wave resistance, and ship-surface floater development for deep-sea mining. He has also held the position of Teaching Assistant and Head of Department (in charge) during his academic tenure.

🔬 Research Interests

Jebin’s research primarily focuses on:

  • 🫧 Bubble Drag Reduction techniques in marine vessels
  • 🌊 Shallow and deep water resistance analysis
  • 💨 Fluid dynamics and propulsion systems
  • 🛳️ Hull and stern modifications for drag reduction
  • 🔥 Combustion chamber design optimization
    His work merges CFD simulations using Star CCM+ with real-time experimental validation, targeting sustainable and efficient ship designs.

🏆 Awards & Achievements

  • 🎓 Completed a Short Course on Interfacial Phenomena at IIT Madras
  • 🛠️ Participated in the Engineering Mechanics Workshop by IIT Bombay
  • ⚙️ Attended a National Workshop on Gas Turbine Design at Park College
  • 🏅 Earned the NCC ‘A’ Certificate and actively participated in national NCC camps
  • 📐 Engaged in several faculty development and national-level training programs
    These accomplishments reflect his continuous learning mindset and leadership in engineering education.

📚 Publications Top Notes: 

Samuvel, J. T., Gokulakrishnan, M., Kumar, A., & Ramamurthy, V. (2022). Numerical Estimation of Frictional Drag on Flat Plate In Shallow Water with & without BDR. OCEANS 2022 – Chennai. Cited by: 3

Gokulakrishnan, M., Samuvel, J. T., Kumar, A., & Ramamurthy, V. (2022). Numerical prediction of hydrodynamic forces and moments of KCS in shallow water. OCEANS 2022 – Chennai. Cited by: 2

Impact of Water Depth on the Resistance of a Mini-Bulk Carrier: An Experimental and Numerical Study

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

huayu qi | Engineering | Best Researcher Award

Mr. huayu qi | Engineering | Best Researcher Award

Shandong University of Technology China

Qi Huayu is a dedicated researcher and master’s student at Shandong University of Technology. With a strong focus on particle morphology quantification, Qi has contributed significantly to developing innovative methods for characterizing particle structures. Through rigorous research, Qi aims to advance scientific understanding and practical applications in the field of particle analysis.

Profile

Scopus

Orcid

Education 🎓

  • Master’s Degree | Shandong University of Technology

Experience 👨‍🔬

  • Engaged in research on particle morphology quantification and regeneration.
  • Published multiple papers in high-impact scientific journals.
  • Developed quantitative analysis methods for particle characterization.

Research Interests 🔬

  • Particle Morphology Quantification
  • Triangle Side Ratio Method for Angularity Characterization
  • Multi-scale Particle Morphological Analysis
  • Application of Morphology Analysis in Engineering and Material Science

Awards 🏆

  • Best Researcher Award (Nominee, 2025)
  • Recognition for innovative contributions in particle morphology quantification.

Publications Top Notes: 📚

“Particle morphology quantification and regeneration based on triangle side ratio”

Granular Matter (2025)

DOI: 10.1007/s40571-025-00919-y

Cited by: Pending citation data

“Triangle Side Ratio Method for Particle Angularity Characterization: From Quantitative Assessment to Classification Applications”

Granular Matter (2024)

DOI: 10.1007/s10035-024-01449-9

Cited by: Pending citation data

“Multi-scale morphological quantification of particle based on altitude-to-chord ratio”

 

Barbaros PREVEZE | Engineering | Best Researcher Award

Assoc. Prof. Dr. Barbaros PREVEZE | Engineering | Best Researcher Award

Assoc. Prof. Dr Çankaya University Turkey

Barbaros Preveze is an Associate Professor in the Department of Electrical and Electronics Engineering at Çankaya University, Turkey. With a career spanning over two decades, he has made significant contributions to the fields of wireless communication, computer networks, and cognitive systems. He has served in various academic roles, including Vice Dean and Co-Head of the Department, reflecting his dedication to teaching and research excellence.

Profile

Google Scholar 

Orcid

Education 🎓

  • Ph.D. in Electrical-Electronics Engineering, Başkent University (2011)
    Thesis: Cognitive Methods in Multimedia Communication
    Advisor: Aysel Şafak
  • Master’s Degree in Computer Engineering, Çankaya University (2004)
    Thesis: Simulation on Efficiency of IP Protocol in Networks
    Advisor: Halil Tanyer Eyyuboğlu
  • Bachelor’s Degree in Computer Engineering, Çankaya University (2001)

Experience 🏫

  • Associate Professor, Çankaya University (2023–Present)
  • Assistant Professor, Çankaya University (2011–2023)
  • Research Assistant, Çankaya University (2001–2011)

Barbaros has supervised numerous theses, conducted projects funded by TUBITAK, and developed innovative solutions in networking systems.

Research Interests 🔬

Barbaros Preveze focuses on wireless communication, SDN (Software-Defined Networking), cognitive networking, and network optimization. His current research explores adaptive traffic load management, deep learning in classification, and network security protocols.

Awards 🏆

  • Instructor Excellence Award by CISCO Networking Academy, USA (2017)
  • Recognized for outstanding contributions to teaching and research in network systems.

Publications Top Notes: 📚

A Novel High-Performance Traffic Load Management Method (2025). Wireless Personal Communications. Read here.

Network Flexibility in Mobile Multi-Hop Tunneling Networks (2023). Wireless Personal Communications. Read here.

SDN-driven Internet of Health Things (2022). Wireless Communications and Mobile Computing. Read here.

High-Performance Routing in Mobile Multi-Hop Networks (2020). Wireless Personal Communications. Read here.

Cognitive Methods for Ad Hoc Networks (2015). Wireless Personal Communications. Read here.

Improvement of Underlay Cooperative Cognitive Networks Bandwidth Efficiency under Interference and Power Constraints

Effects of novel long life routing algorithms on IEEE 802.16 throughput improvement methods for various vehicular velocities

Dynamic Optımızatıon of Image Brıgthness Level With Optimal Gamma Value Assessment (OGVA) Method

Research Article SDN-Driven Internet of Health Things: A Novel Adaptive Switching Technique for Hospital Healthcare Monitoring System

Cited extensively, these works focus on innovative methods for optimizing wireless and cognitive networks.