Tanmoy Majumder | Micro Manufacturing | Research Excellence Award

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Mr. Tanmoy Majumder | Micro Manufacturing | Research Excellence Award

Research scholar | National Institute of Technology Silchar | India

Mr. Tanmoy Majumder is a researcher specializing in micro-manufacturing and micro-nano fabrication with strong expertise in micro electrical discharge machining, micro-drilling, micro-slit and micro-fin fabrication, and process optimization. His research integrates experimental machining, parametric analysis, multi-criteria decision-making, and neural-network-based prediction to enhance machinability, surface integrity, and fatigue performance of advanced engineering materials. He has contributed to peer-reviewed journals and international conferences in micro-EDM, WEDM, and fatigue characterization. His scholarly output includes 11 research documents with 14 citations and an h-index of 2, reflecting growing academic impact alongside collaborative research and industry-oriented project experience in optimization-driven manufacturing solutions.

Citation Metrics (Scopus)

20

15

10

5

0

Citations
14

Documents
11

h-index
2

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Mo Jamshidi | Engineering | Best Researcher Award

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Prof. Dr. Mo Jamshidi | Engineering | Best Researcher Award

The University of Texas at San Antonio | United States

Prof. Dr. Mo Jamshidi is a globally recognized authority in systems engineering, intelligent systems, and system-of-systems engineering, with seminal contributions spanning soft computing, fuzzy logic, neural networks, robotics, and large-scale complex systems. His research integrates control theory, artificial intelligence, and computational intelligence to address challenges in autonomous systems, energy systems, cloud and cyber-physical infrastructures, and bioinformatics, including influential work on genome-scale metabolic networks. He has played a foundational role in defining and advancing system-of-systems as a discipline, shaping both theoretical frameworks and practical applications. His professional experience reflects sustained leadership in interdisciplinary research, authorship of landmark books, and mentorship that has influenced generations of researchers worldwide.

Citation Metrics (Google Scholar)

20000

15000

10000

5000

0

Citations
16,907

i10-index
239

h-index
54

🟦 Citations   🟥 i10-index   🟩 h-index


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Featured Publications

Gabriella Maselli | Civil Engineering | Research Excellence Award

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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

0

Citations
635

Documents
52

h-index
13

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Xifeng Xie | Engineering | Best Researcher Award

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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

 

Dr. Xiao Fu | Engineering | Best Researcher Award

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Dr. Xiao Fu | Engineering | Best Researcher Award

Xi`an University Of Science And Technology, China

Profile

Scopus

Education 🎓

Dr. Xiao Fu is currently pursuing her Ph.D. at Xi’an University of Science and Technology. She completed her master’s degree at Nanchang Institute of Technology and her undergraduate studies at Xi’an University of Science and Technology. Throughout her academic career, she has demonstrated exceptional dedication to research and scientific discovery.

Professional Experience 💼

Dr. Fu has made significant contributions to the field of bio-cement applications for sand stabilization. Her research focuses on enhancing soil mechanical properties using plant-based bio-cement and organic materials. She has published in leading journals, including Applied Biochemistry and Biotechnology and Bioresources & Bioprocessing, collaborating with experts to develop eco-friendly solutions for soil reinforcement.

Technical Skills 🛠️

Dr. Fu is highly skilled in geotechnical testing and analysis, biochemical soil treatment, and multivariate experimental design. Her expertise lies in combining biological and engineering principles to develop sustainable soil stabilization techniques.

Teaching & Mentorship 👨‍🏫

She actively participates in mentorship and academic guidance for postgraduate students, helping them refine their research methodologies. She also delivers guest lectures on soil mechanics and stabilization techniques, fostering knowledge exchange within the academic community.

Awards & Honors 🏅

Dr. Fu has been recognized for her outstanding academic performance, including being a top scorer in her doctoral entrance exams. Her research contributions have received acclaim for their innovation and impact in geotechnical engineering.

Research Interests 🔍

Her research focuses on sustainable soil improvement, bio-cement applications, and desert sand stabilization. Passionate about pioneering eco-friendly geotechnical solutions, Dr. Fu is dedicated to developing innovative, sustainable technologies for the future of soil engineering.

Publications Top Notes: 📝

“Experimental Study on Mechanical Properties of Cured Sand Combined with Plant-Based Bio-cement (PBBC) and Organic Materials”

Authors: Xiao Fu, Wan-jun Ye, Gang Yuan, Xue-li Zhang, Rui-yuan Niu

Publication Year: 2024

Journal: Applied Biochemistry and Biotechnology

Citations: Currently, no available citation metrics

“An experimental study on the curing of desert sand using bio-cement”

Authors: Xiao Fu, Wan-jun Ye

Publication Year: 2024

Journal: Bioresources and Bioprocessing

Citations: No citation metrics available yet

“Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement”

Authors: Wan-jun Ye, Xiao Fu, Yi Wu, et al.

Publication Year: 2024

Journal: Bioprocess and Biosystems Engineering

Citations: No citation data available at this time

“Soybean urease induced calcium carbonate precipitation multivariate experimental study”

Authors: Meng Cui, Xiao Fu, Junjie Zheng, et al.

Publication Year: 2022

Journal: Rock and Soil Mechanics

Citations: No specific citation metrics available

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

huayu qi | Engineering | Best Researcher Award

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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”