Getahun Mekuria | Engineering | Research Excellence Award

Mr. Getahun Mekuria | Engineering | Research Excellence Award

Lecturer | Debre Berhan University | Ethiopia

Mr. Getahun Mekuria is an industrial engineering researcher and lecturer with expertise spanning operations research and optimization, manufacturing systems and automation including additive manufacturing, human factors and ergonomics, supply chain and logistics, quality control, continuous improvement, and sustainability. His research approach integrates empirical investigations, digital twin simulations, lean manufacturing, and hybrid technologies such as IoT, big data, and blockchain to optimize productivity, quality, and environmental performance in manufacturing and industrial systems. He has contributed book chapters and numerous peer-reviewed journal articles, exploring topics from service quality and maintenance practices to air pollution assessment and wastewater treatment. Actively engaged in editorial and peer-review roles, he also mentors students in computational methods, system modeling, and industrial design. His work emphasizes practical and sustainable solutions, fostering innovation, operational excellence, and integration of human and technological factors in industrial and manufacturing environments.

Citation Metrics (Google Scholar)

15

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Citations
7

h-index
2

🟦 Citations    🟩 h-index


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Featured Publications

Mo Jamshidi | Engineering | Best Researcher Award

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)

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Citations
16,907

i10-index
239

h-index
54

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Isye Nurhasanah | Engineering | Research Excellence Award

Mrs. Isye Nurhasanah | Engineering | Research Excellence Award

Lecturer | Institut Teknologi Sumatera | Indonesia

Mrs. Isye Nurhasanah is an urban and regional planning scholar whose work explores spatial and aspatial planning, tourism development, governance, social innovation, participatory planning, and island studies. Her research integrates community-based approaches with sustainability perspectives to understand capacity building, local empowerment, and alternative governance arrangements in small island contexts. She has contributed to studies on ecotourism, landscape change, urban political ecology, and social resilience, producing interdisciplinary insights that bridge planning theory and real-world community needs. Her professional experience spans academic teaching, applied research, and collaborative development projects that support inclusive, knowledge-driven, and sustainable regional growth.

Citation Metrics (Google Scholar)

300

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Citations
251

i10-index
8

h-index
8

🟦 Citations    🟥 i10-index    🟩 h-index


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Workiye Getnet Abera | Engineering | Young Researcher Award

Mr. Workiye Getnet Abera | Engineering | Young Researcher Award

Senior Lecturer and Researcher | Debre Tabor University | Ethiopia

Workiye Getnet Abera is a dedicated chemical engineer specializing in modeling, simulation, and optimization, with a strong research focus on biomass-based products, polymer chemistry, and sustainable materials. He has extensive academic experience as a lecturer and researcher, contributing to the advancement of chemical engineering education and leading research initiatives in process engineering and additive manufacturing. His industrial background includes hands-on training in large-scale production environments, where he gained valuable insights into chemical processes and operations. As an active scholar, he has authored several peer-reviewed publications in internationally recognized journals, with contributions spanning biolubricants, bioplastics, and food engineering innovations. His research output includes 5 published documents with 17 citations across 17 citing documents, reflecting the growing impact of his scientific contributions. In addition to his research, he plays a significant role in the scientific community as a reviewer for leading publishers such as Elsevier, Springer, and Taylor & Francis, and serves on the editorial boards of multiple academic journals. His work emphasizes sustainability, resource efficiency, and the development of environmentally friendly technologies, aiming to bridge the gap between industrial application and academic innovation. He is proficient in a wide range of technical software, including Aspen Plus, MATLAB, and ANSYS, and applies advanced optimization and material characterization techniques in his research. Through his teaching, publications, and professional service, he demonstrates a strong commitment to knowledge dissemination, sustainable engineering practices, and the promotion of innovative solutions that address global challenges in energy, materials, and food systems.

Profile: Scopus | Orcid

Featured Publications

Alemu, H., Labena, A. A., Fereja, B. M., Gebreyes, D. A., & Abera, W. G. (2025). Cobalt-polydopamine nanocomposite for efficient removal of Pb(II) and Cd(II) from water: Synthesis, characterization, and adsorption mechanisms. Desalination and Water Treatment. Advance online publication.

Gebreyes, D. A., Alemea, M. T., Robi, A. G., Abera, W. G., & Tenkolu, G. A. (2025). Synthesis, characterization, and optimization of antimicrobial biolubricant derived from Ocimum lamiifolium and lactic acid. Heliyon. Advance online publication.

Gebremedihin, L. B., & Abera, W. G. (2024). Quality assessment of gluten-free sorghum bread prepared with sourdough and the addition of sweet lupin flour. CYTA – Journal of Food. Advance online publication.

Abebe, T. G., & Abera, W. G. (2024). Effect of baking conditions on gluten-free biscuit quality made from groundnut oilseed cake protein isolate and teff flour blends. Cogent Food & Agriculture. Advance online publication.

Abera, W. G., Kasirajan, R., & Majamo, S. L. (2023). Synthesis and characterization of bioplastic film from banana (Musa Cavendish species) peel starch blending with banana pseudo-stem cellulosic fiber. Biomass Conversion and Biorefinery, 13, 7085–7097.

Dr. Xiao Fu | Engineering | Best Researcher Award

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

Jingyang Mao | Engineering | Best Researcher Award

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile

Orcid

Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises