Xianguang Guo | Data Visualization | Best Researcher Award

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Dr. Xianguang Guo | Data Visualization | Best Researcher Award

Chengdu Institute of Biology, Chinese Academy of Sciences, China

Publication Profile

Orcid

📝 Summary

Dr. Xianguang Guo is an Associate Professor at the Chengdu Institute of Biology, Chinese Academy of Sciences, specializing in molecular phylogenetics, biogeography, and evolution. His research primarily focuses on reconstructing evolutionary relationships in reptiles, particularly the racerunner Eremias and toad-headed agama Phrynocephalus in arid Central Asia.

🎓 Education

  • Ph.D. in Hydrobiology, Institute of Hydrobiology, Chinese Academy of Sciences (2006). Dissertation: “Molecular phylogenetics and biogeography of Otocephala fish based on multi-nuclear genes.”
  • M.Sc. in Zoology, Southwest China Normal University (2003). Thesis: “Molecular phylogeny of sisorid catfishes and species validity of genus Euchiloglanis in China.”
  • B.Sc. in Zoology, Lanzhou University (1995). Thesis: “Seasonal variations of blood visible components in Eremias multiocellata.”

💼 Professional Experience

  • Associate Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2009–Present).
  • Assistant Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2006–2009).

📚 Research Interests on 

Dr. Guo’s main research interests include molecular phylogenetics, biogeography, and evolution. He focuses on reconstructing evolutionary relationships, especially in the Eremias and Phrynocephalus species, using molecular datasets. His studies contribute to understanding the evolutionary history and diversification of these reptiles in arid regions of Central Asia.

🖥️ Technical Skills

  • Expertise in molecular techniques like DNA sequencing and phylogenetic analysis.
  • Proficient in using bioinformatics tools for data analysis and evolutionary studies.

👩‍🏫 Teaching Experience

Dr. Guo has taught various graduate and undergraduate courses related to zoology, molecular biology, and evolutionary studies at the Chengdu Institute of Biology, fostering academic growth and research skills in students.

🔬 Academic Contributions

He has led numerous research projects funded by the National Natural Science Foundation of China (NSFC), focusing on the phylogenetics and molecular basis of species adaptation in arid environments. Dr. Guo has also contributed to international collaborations on the phylogeography and genetic differentiation of reptile species in Central Asia.

🌍 Research Projects

Dr. Guo’s projects include studying the biodiversity and evolutionary patterns of amphibians and reptiles, with an emphasis on the diversity of Eremias and Phrynocephalus in Central Asia’s harsh ecosystems. His work aims to uncover the molecular mechanisms underlying species adaptation and the impact of desertification on biodiversity.

Publication Top Notes

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai–Tibet Plateau, with Particular Attention to the Northern Slope of the Kunlun–Arjin Mountains

📑 Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
📰 Journal: Animals
📅 Year: 2025

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai-Tibetan Plateau (Preprint)

📑 Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
📰 Journal: Preprint
📅 Year: 2024

Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia

📑 Authors: Lili Tian, Rui Xu, Dali Chen, Natalia B. Ananjeva, Rafe M. Brown, Mi-Sook Min, Bo Cai, Byambasuren Mijidsuren, Bin Zhang, Xianguang Guo
📰 Journal: Animals
📅 Year: 2024

Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA

📑 Authors: Daniya Ualiyeva, Jinlong Liu, Tatjana Dujsebayeva, Jun Li, Lili Tian, Bo Cai, Xiaomao Zeng, Xianguang Guo
📰 Journal: Animals
📅 Year: 2024

Phylogeography and Ecological Niche Modeling of the Alashan Pit Viper (Gloydius cognatus; Reptilia, Viperidae) in Northwest China and Adjacent Areas

📑 Authors: Rui Xu, Tatjana N. Dujsebayeva, Dali Chen, Byambasuren Mijidsuren, Feng Xu, Xianguang Guo
📰 Journal: Animals
📅 Year: 2023

zhongyuan xiang | laboratory medicine | Best Researcher Award

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Prof. zhongyuan xiang | laboratory medicine | Best Researcher Award

the second Xiangya Hospital of Central South University | China

Author Profile

Scopus

📝 Summary

Zhongyuan Xiang, a dedicated and experienced medical professional, is the Secretary and Director of the Department of Laboratory Medicine at Xiangya Second Hospital, Central South University. He is an expert in medical diagnostics and laboratory technologies with over a decade of experience. He is deeply involved in research on autoimmune diseases, artificial intelligence in diagnostics, and cancer biomarkers.

🎓 Education

  • Ph.D. in Medical Sciences
  • Master’s Supervisor at Central South University, guiding graduate students in the field of medical testing.

💼 Professional Experience

  • Secretary & Director, Department of Laboratory Medicine, Xiangya Second Hospital, Central South University.
  • Senior Technician, Chief Medical Scientist, with extensive contributions to the development of clinical testing techniques and laboratory management.

📚 Academic Positions

  • Committee Member, Chinese Medical Association Biochemistry Group
  • Committee Member, Chinese Stroke Society Clinical Laboratory Branch
  • Committee Member, Chinese Medical Device Industry Association POCT Branch
  • Various leadership roles in regional medical societies in Hunan Province.

🧑‍🔬 Research Interests On laboratory medicine

Zhongyuan’s research spans the molecular mechanisms of autoimmune diseases (e.g., Systemic Lupus Erythematosus), clinical diagnostics innovations (such as AI in laboratory testing), and cancer detection techniques, including high throughput genetic and biochemical diagnostics.

⚙️ Technical Skills

  • Advanced skills in laboratory diagnostics, including molecular biology techniques, immunology, and AI-driven diagnostics tools.
  • Expert in high throughput testing and clinical laboratory systems.
  • In-depth knowledge of biochemical analysis, clinical trials, and diagnostic kit development.

🧑‍🏫 Teaching Experience

  • Master’s thesis supervisor for graduate students in clinical laboratory sciences at Central South University.
  • Course leader for emergency response training in clinical diagnostics.
  • Regular contributor to textbooks and educational resources for medical professionals.

🔬 Research Contributions

  • Funded Research Projects: Lead multiple nationally funded research projects, focusing on autoimmune disease mechanisms and the clinical application of automated diagnostic systems.
  • Publications: Over 30 publications in high-impact journals, with notable work on diagnostic biomarkers and clinical diagnostic technologies.

🏆 Honors & Awards

  • First Place, Hunan Province Science and Technology Progress Award (2024)
  • Hunan Province Graduate Student Excellence Award (2022)
  • Second Place, Hunan Province Science and Technology Progress Award
  • Third Place, Clinical Medical Technology Achievement Award, Xiangya Second Hospital, Central South University

💡 Patents

  • Practical New Utility Patent: “A Multifunctional Indicator Operation Card” (March 2022).

📑  Notable Publications  

Dual genes manipulation enhanced chemotherapy potentiates antitumor immunity based on extracellular vesicle system for glioblastoma treatment
  • 📑 Authors: Y. Yang, X. Wang, M. Wang, J. Chen, Y. Duo
    📰 Journal: Chemical Engineering Journal
    📅 Year: 2024
Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine
  • 📑 Authors: Y. Duo, L. Han, Y. Yang, G. Luo, B. Tang
    📰 Journal: Chemical Reviews
    📅 Year: 2024
D1-like dopamine receptors promote B-cell differentiation in systemic lupus erythematosus
  • 📑 Authors: Z. Xiang, F. Wu, Z. He, W. Liu, M. Yang
    📰 Journal: Cell Communication and Signaling
    📅 Year: 2024

Chao Xu | Algorithmic Dynamic | Best Researcher Award

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Prof Dr. Chao Xu | Algorithmic Dynamic | Best Researcher Award

Huzhou Institute, Zhejiang University | China

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS 🎓

Professor Chao Xu’s academic journey began with his pursuit of a Bachelor of Engineering degree in Mechanical Engineering from Shenyang Aerospace University in 2002. His passion for combining mechanical engineering with advanced mathematics led him to Zhejiang University, where he earned a Master’s degree in Mathematics in 2005. His quest for knowledge took him further to the United States, where he obtained a Ph.D. in Mechanical Engineering and Mechanics from Lehigh University in 2010. These formative years laid the foundation for his future achievements in robotics and intelligent systems.

PROFESSIONAL ENDEAVORS 💼

After completing his Ph.D., Professor Xu embarked on an illustrious career at Zhejiang University, where he currently holds the positions of Vice Dean of the College of Control Science and Engineering and the Founding Dean of the Zhejiang University Huzhou Institute. His academic roles have been complemented by his extensive research work, including his founding of the FAST Lab, which has become a hub for cutting-edge research in robotics and intelligent control. Over the years, he has served as a lecturer, associate professor, and doctoral supervisor, contributing to the education and mentorship of the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Algorithmic Dynamic 🔬

Professor Xu is a pioneer in the fields of multidisciplinary mechanics, control theory, and robotics. His research interests span the design and development of advanced flight systems, including intelligent autonomous flight technologies, robot locomotion physics, and algorithmic dynamics. His work focuses on “Multidisciplinary Mechanics and Control in Robotics” and “Math-Physical Intelligence and Embodiment,” bridging the gap between theory and application in the realm of intelligent systems. His innovative approaches have earned him a position as a key figure in the global robotics community, contributing to the establishment of international standards for intelligent drones.

IMPACT AND INFLUENCE 🌍

Professor Xu’s contributions to the field of robotics have garnered significant recognition, with his research being featured in high-impact journals such as Science Robotics, Nature Machine Intelligence, and IEEE Transactions. His team’s achievement in developing a “Swarm Aerial Robot System” was prominently displayed at the “Forging Ahead in the New Era” exhibition and is now housed in the National Museum. This landmark achievement is a testament to his influence and his leadership in the rapidly advancing field of intelligent robotics. His research has not only contributed to the academic world but has also had a profound impact on industry, media, and policy.

ACADEMIC CITATIONS AND RECOGNITION 📚

Throughout his career, Professor Xu has published over a hundred papers in prestigious journals, cementing his reputation as a leading researcher in his field. His groundbreaking work has earned him widespread recognition, including awards such as the 2024 Frontiers of Science Award by the International Congress of Basic Science. His paper in Science Robotics was also selected as one of Zhejiang University’s Top Ten Academic Achievements in 2022, highlighting the substantial impact of his research. Additionally, Professor Xu’s work continues to inspire new developments in robotics, contributing to the global discourse on the future of intelligent systems.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Professor Xu’s legacy extends beyond his scholarly articles and patents. As the founding director of the FAST Lab and the founding dean of the Zhejiang University Huzhou Institute, he has laid a solid foundation for the continued advancement of robotics and control science at Zhejiang University. His influence is expected to grow as he mentors future generations of engineers and researchers who will push the boundaries of robotics, artificial intelligence, and autonomous systems. His future contributions promise to further revolutionize the way machines interact with humans and the world around them, ensuring his lasting impact on both academic and industrial landscapes.

JOURNAL EDITORSHIP AND LEADERSHIP 📝

In addition to his research, Professor Xu has been an influential figure in academic publishing. As the Executive Editor-in-Chief of IET Cyber-Systems & Robotics, he has provided a platform for new discoveries in robotics and control systems. His leadership in this role ensures that the journal continues to advance research in intelligent systems and robotics while fostering international collaboration. Furthermore, his editorial contributions to the Journal of Industrial and Management Optimization highlight his commitment to the integration of industrial and academic efforts to solve real-world problems.

INTERNATIONAL COLLABORATION AND MEDIA COVERAGE 🌐

Professor Xu’s research has been recognized globally, attracting attention from media outlets such as Xinhua News Agency, Guangming Daily, and The Times. His work has had a profound influence not only in academia but also in the broader global conversation about the future of technology and innovation. His leadership in driving international collaborations and partnerships is essential to the growth and impact of his work on a global scale.

NOTABLE PUBLICATIONS  📑

Swarm of micro flying robots in the wild

📑 Authors: X Zhou, X Wen, Z Wang, Y Gao, H Li, Q Wang, T Yang, H Lu, Y Cao, C Xu, …
📰 Journal: Science Robotics
📅 Year: 2022

Ego-planner: An esdf-free gradient-based local planner for quadrotors

📑 Authors: X Zhou, Z Wang, H Ye, C Xu, F Gao
📰 Journal: IEEE Robotics and Automation Letters
📅 Year: 2020

Geometrically constrained trajectory optimization for multicopters

📑 Authors: Z Wang, X Zhou, C Xu, F Gao
📰 Journal: IEEE Transactions on Robotics
📅 Year: 2022

Dense motion estimation of particle images via a convolutional neural network

📑 Authors: S Cai, S Zhou, C Xu, Q Gao
📰 Journal: Experiments in Fluids
📅 Year: 2019

Ego-swarm: A fully autonomous and decentralized quadrotor swarm system in cluttered environments

📑 Authors: X Zhou, J Zhu, H Zhou, C Xu, F Gao
📰 Journal: 2021 IEEE International Conference on Robotics and Automation (ICRA)
📅 Year: 2021

Particle image velocimetry based on a deep learning motion estimator

📑 Authors: S Cai, J Liang, Q Gao, C Xu, R Wei
📰 Journal: IEEE Transactions on Instrumentation and Measurement
📅 Year: 2019

Xiaohua Bao | Geotechnical Engineering | Best Researcher Award

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Prof. Xiaohua Bao | Geotechnical Engineering | Best Researcher Award

Xiaohua BAO, professor of Shenzhen University, China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS 🎓

Prof. Xiaohua Bao’s academic journey began with a solid foundation in Civil Engineering at Tongji University, China, where he completed his Bachelor’s degree in 2006. His academic curiosity led him to specialize in Tunnel and Underground Construction Engineering, earning his Master’s degree at Tongji University in 2009. Prof. Bao then expanded his expertise internationally by pursuing a dual-degree program at Nagoya Institute of Technology, Japan. Here, he earned both a Master’s degree and a Ph.D. in Geotechnical Engineering, with a focus on soil dynamics and seismic engineering. His rigorous academic training laid the groundwork for his later groundbreaking research and professional achievements. 🌍📚

PROFESSIONAL ENDEAVORS 👨‍🏫

Prof. Bao’s professional career has been marked by leadership roles at Shenzhen University, where he has served as a Lecturer, Assistant Professor, and Professor in the College of Civil and Transportation Engineering since 2013. His role has evolved to include administrative duties such as Vice Dean of the Underground Polis Academy and Vice Dean of the College of Civil and Transportation Engineering. In addition, Prof. Bao’s influence extends beyond the university, with significant appointments on various academic boards, including the Chinese Society for Rock Mechanics & Engineering, and his work as an Editorial Board Member for esteemed journals such as the “Chinese Journal of Rock Mechanics and Engineering” and “Modern Tunnelling Technology.” 🏛️📘

CONTRIBUTIONS AND RESEARCH FOCUS  ON Geotechnical Engineering🔬

Prof. Bao has made remarkable contributions to the field of Geotechnical Engineering, with a primary focus on soil dynamics, seismic resistance of underground structures, and tunnel disaster monitoring and detection. His research has been instrumental in advancing the understanding of how soil dynamics interact with underground structures, particularly in seismic environments. Prof. Bao has secured 6 national-level research projects and has contributed to over 100 academic papers, pushing the boundaries of knowledge in his field. Additionally, his work has resulted in the granting of 47 patents, including 2 U.S. patents, which have significant applications in the construction and engineering sectors. 🏗️🔍

IMPACT AND INFLUENCE 🌟

Prof. Bao’s work has had a profound impact on both the academic and practical aspects of geotechnical engineering. His research has shaped policies, industry standards, and best practices, significantly influencing the design and construction of tunnels and underground structures. The recognition of his work has been reflected in prestigious awards such as the First Prize for the Ministry of Education Science and Technology Progress Award in 2023, as well as the Guangdong Youth Science and Technology Award (Talent Award) in the same year. His contributions have earned him multiple awards over the years, highlighting his lasting influence in his field. 🏆🔧

ACADEMIC CITATIONS 📑

With a vast body of work, Prof. Bao’s academic impact is also reflected in the substantial number of citations his papers have received. His publications, totaling more than 100 academic papers, have been widely referenced by scholars in the fields of Geotechnical Engineering, Tunnel Engineering, and Disaster Monitoring. His research has not only enriched academic knowledge but has also provided practical solutions to real-world engineering challenges, solidifying his position as a thought leader in the field. 📚🌐

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Prof. Bao’s legacy is built upon his innovative research, mentorship, and the many awards and accolades he has received throughout his career. His ability to blend theoretical research with practical applications ensures that his work continues to shape the future of underground construction and geotechnical engineering. Looking forward, Prof. Bao is committed to expanding his research on seismic resistance and disaster monitoring, further advancing the safety and sustainability of underground infrastructure. His ongoing contributions are poised to impact the field for years to come, ensuring that his legacy will inspire future generations of engineers and researchers. 🔮💡

NOTABLE PUBLICATIONS  📑

Intelligent monitoring-based resilience assessment system for prefabricated underground structures based on restorability
  • 📑 Authors: T. Qiu, X. Chen, W. Rao, X. Bao, C. Hong
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
A methodology for evaluating the safety resilience of the existing tunnels induced by foundation pit excavation
  • 📑 Authors: K. Han, Z. Zhai, X. Chen, S. Wang, B. Hou
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
Laboratory investigation on the influence of sedimentation state on small-strain shear modulus in marine layered soils
  • 📑 Authors: X. Bao, H. Yuan, J. Shen, Z. Bao, H. Cui
    📰 Journal: Soil Dynamics and Earthquake Engineering
    📅 Year: 2025
Evaluation of shield-tunnel segment assembly quality using a copula model and numerical simulation
  • 📑 Authors: X. Bao, J. Li, J. Shen, Z. Huang, H. Cui
    📰 Journal: Automation in Construction
    📅 Year: 2025
Seismic resilience assessment method for tunnels based on cloud model considering multiple damage evaluation indices
  • 📑 Authors: J. Shen, X. Bao, X. Chen, T. Qiu, H. Cui
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
Predicting the UCS of polyhydroxyalkanoate and xanthan gum treated sandy soil using gradient boosting algorithms
  • 📑 Authors: S.T. Abbas Jaffar, M.A. Iqbal, X. Bao, F.E. Jalal, X. Chen
    📰 Journal: Journal of Cleaner Production
    📅 Year: 2025
Study on the mechanism of EPWP dissipation at the joints of shield tunnel in liquefiable strata during seismic events
  • 📑 Authors: J. Shen, X. Bao, J. Li, X. Chen, H. Cui
    📰 Journal: Soil Dynamics and Earthquake Engineering
    📅 Year: 2025

 

María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

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Mrs. María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

Mrs. María Ortiz de Zúñiga, UNED and Fusion for Energy, Spain

Publication Profile

Orcid
Google Scholar

🌟 Summary

Mrs. María Ortiz de Zúñiga With over 17 years of experience in Fusion for Energy, I have contributed to various complex, multidisciplinary projects such as the ITER program, leading and managing teams, technical contracts, and large-scale nuclear mechanical systems. My expertise spans across engineering disciplines, including mechanical and computer engineering, and I hold two Master’s degrees in Mechanical Engineering and Computer Engineering. I specialize in project management, leadership, and AI for engineering development, focusing on driving innovation in advanced manufacturing technologies, nuclear safety, and stakeholder management.

🎓 Education

  • Philosopher’s Degree (PhD) in Industrial Technologies
    Universidad Nacional de Educación a Distancia – UNED (2021–Present)
  • Master of Engineering in Mechanical Engineering in Advanced Manufacturing Technologies
    Universidad Nacional de Educación a Distancia – UNED (2017–2021)
  • Master of Engineering in Computer Engineering
    Universidad Pontificia de Comillas – ICAI (2002–2007)

💼 Professional Experience

  • Senior Technical Officer, Fusion for Energy (2022–Present)
    Leading AI for engineering developments in the ITER project, responsible for managing expert contracts and representing F4E in the RCC-MRx nuclear code subcommittee.
  • Deputy Program Manager, Antennas Programme for ITER (2021–2022)
    Managed the design, procurement, and manufacturing of the Electron Cyclotron Antenna, including stakeholder and contract management.
  • Project Manager, ITER Vacuum Vessel Sectors (2019–2021)
    Oversaw the manufacturing of the last 3 European Vacuum Vessel sectors, managing financial, administrative, and technical contract responsibilities.
  • Technical Project Coordinator, ITER Vacuum Vessel (2016–2019)
    Led a team managing technical data, project contracts, and the supply chain for the Vacuum Vessel’s nuclear mechanical systems.
  • Planning Officer, Fusion for Energy (2007–2015)
    Managed planning and scheduling for ITER-related projects, supported risk management, and developed procurement schedules.

📝 Academic Citations

  • Co-chair, Artificial Intelligence Track (CT-19) at ASME-PVP
  • Reviewer at international conferences like SMiRT, ITU, and IAEA
  • Published research on AI in manufacturing and engineering processes for ITER components.

💻 Technical Skills

  • Engineering Software: Proficient in CAD systems, Primavera, Enovia Smarteam PLM, and AI tools for engineering applications.
  • Project Management: Skilled in planning, scheduling, risk management, earned value management, and contract negotiations.
  • Nuclear Safety: Experienced in working with the RCC-MRx code, nuclear safety audits, and quality control for nuclear-related projects.
  • Languages: Fluent in up to 6 European languages.

👩‍🏫 Teaching Experience

  • Co-led the Artificial Intelligence Community within Fusion for Energy to raise awareness and promote AI usage in engineering projects.
  • Actively contributed to Diversity, Equity, and Inclusion initiatives within F4E, supporting training and workshops on these topics.

🔬 Research Interests On Data Analysis

  • Artificial Intelligence for manufacturing optimizations in nuclear components.
  • Data Analysis in high-tech engineering, focusing on predictive models for welding success, ultrasonic testing, and superconducting magnets.
  • Development and integration of advanced manufacturing technologies into nuclear engineering systems.

Publication Top Notes

Project management techniques used in the European Vacuum Vessel sectors procurement for ITER

📑 Authors: M Losasso, MO de Zuniga, L Jones, A Bayon, JF Arbogast, J Caixas, …
📰 Journal: Fusion Engineering and Design
📅 Year: 2012

Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations

📑 Authors: M Ortiz de Zuniga, N Prinja, C Casanova, A Dans Alvarez de Sotomayor, …
📰 Journal: Pressure Vessels and Piping Conference
📅 Year: 2022

Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

📑 Authors: MO de Zúñiga López-Chicheri, M Febvre, ADA de Sotomayor, N Prinja, …
📰 Journal: IASMiRT
📅 Year: 2022

 

Nirmal Kaur | Emotion Recognition | Best Researcher Award

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Assist Prof Dr. Nirmal Kaur | Emotion Recognition | Best Researcher Award 

Assistant Professor Dr. Nirmal Kaur Department of CSE, UIET, Panjab University, India

Publication Profile

Google Scholar

Summary

Dr. Nirmal Kaur is an Assistant Professor at UIET, Panjab University with 19+ years of teaching experience. Her expertise lies in Machine Learning, Deep Learning, Sentiment Analysis, Distributed Computing, and Cybersecurity. She has been a Principal Investigator for multiple research projects and is deeply involved in academics and mentoring.

Education

🎓 Ph.D. in Computer Science & Engineering (I.K. Gujral Punjab Technical University, 2017)
🎓 M.Tech in Computer Science & Engineering (Baba Banda Singh Bahadur Engg. College, 2009)
🎓 B.Tech in Computer Science & Engineering (Punjabi University, 2003)

Professional Experience

🔹 Assistant Professor, UIET, Panjab University (2011–Present)
🔹 Assistant Professor, Bhai Gurdas Institute of Engineering (2005–2011)
🔹 Assistant Professor, Swami Vivekanand Institute of Engineering (2004–2005)

Academic & Professional Roles

📜 Board of Studies Member, Panjab University
🤝 Member of multiple university committees
📝 Editor for the book “Victimization of Women in Cyber Space” (2023)

Technical Skills

💻 Machine Learning, Deep Learning (Audio/Video Deepfake Detection)
📊 Sentiment Analysis (Text, Audio, Video, Multimodal)
🔐 Cybersecurity, Energy Aware Scheduling in Distributed Computing

Teaching Experience

👩‍🏫 19+ years of teaching
💡 Research Guidance for Ph.D. and M.E. students

Research Interests ON Emotion Recognition

🔍 Machine Learning & Deep Learning (Deepfake Detection, Human Pose Estimation)
📱 Sentiment Analysis (Text, Audio, Video, Multimodal)
💻 Distributed Computing (Energy-Aware Scheduling)
🛡️ Cybersecurity (Women’s Cyber Safety)

Achievements

🏅 Best Research Award, UIET (2017)
🏆 Best Paper Award at IC-MISP, NIT Raipur (2022)
🎓 Scholarship from Punjab Govt. (1997)

Publication Top Notes

Review of audio deepfake detection techniques: Issues and prospects
    • Authors: 🧑‍🔬 Dixit, Kaur, Kingra
    • Journal: 📚 Expert Systems
    • Year: 📅 2023
Emergence of deepfakes and video tampering detection approaches: A survey
    • Authors: 🧑‍🔬 Kingra, Aggarwal, Kaur
    • Journal: 📚 Multimedia Tools and Applications
    • Year: 📅 2022
Major Convolutional Neural Networks in Image Classification: A Survey
    • Authors: 🧑‍🔬 Kumar, Kaur, Gupta
    • Journal: 📚 Proceedings of International Conference on IoT Inclusive Life (ICIIL)
    • Year: 📅 2020
LBPNet: Exploiting texture descriptor for deepfake detection
    • Authors: 🧑‍🔬 Kingra, Aggarwal, Kaur
    • Journal: 📚 Forensic Science International: Digital Investigation
    • Year: 📅 2022
Duplication-controlled static energy-efficient scheduling on multiprocessor computing system
    • Authors: 🧑‍🔬 Kaur, Bansal, Bansal
    • Journal: 📚 Concurrency and Computation: Practice and Experience
    • Year: 📅 2017
A survey of routing protocols in wireless sensor networks
    • Authors: 🧑‍🔬 Kaur, Verma, Kavita
    • Journal: 📚 IJET
    • Year: 📅 2018

Fabrizia Devito | Data Quality Enhancement | Women Researcher Award

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Dr. Fabrizia Devito | Data Quality Enhancement | Women Researcher Award 

Dr. Fabrizia Devito , Politecnico di Bari, Italy.

Publication Profile

Orcid
Scopus

Summary 🌍

A passionate researcher in Additive Manufacturing (AM) 🖨️, AI 🤖, and sustainability 🌱. With experience across international academic institutions 🌍, Fabrizia has worked on cutting-edge projects in manufacturing technology ⚙️ and energy systems 🔋, striving to improve production processes and environmental impact 🌎.

Education 🎓

  • Ph.D. Student in Sustainable Development & Climate Change 🌱, Polytechnic of Bari, Italy (2021-2025)
  • Master’s Degree in Management Engineering (Operations Management) ⚙️, Polytechnic of Bari, Italy (2021)
  • Bachelor’s Degree in Management Engineering, Polytechnic of Bari, Italy (2019)
  • Sustainable Development & Climate Change at IUSS-Scuola Universitaria Superiore, Pavia, Italy (2021-2024)

Professional Experience 💼

  • Researcher at Vantia S.r.l. (Spin-Off University of Bari) 🔬, Bari, Italy (2024–Present)
  • Research Assistant at University of Cantabria, Spain 🇪🇸 (2024)
  • Research Assistant at University of Sharjah, UAE 🇦🇪 (2022)
  • Internships at Jaggaer Academy and Fincons S.p.A. 🏢 (2021), and Polytechnic of Bari 🏛️ (2019)

Academic Citations 📚

  • Co-author of research on Additive Manufacturing and sustainable processes at Polytechnic of Bari 📝 (2021-Present)
  • Presentation at IFAC/INSTICC IN4PL 2024 (Porto, Portugal) 🇵🇹 and Global Conference on Sustainable Manufacturing 2023 🌍

Technical Skills 💻

  • Software: AutoCAD 🖥️, Solidworks ⚙️, MATLAB 📊, Python 🐍, Ansys 🏗️, CAE Tools, Rhinoceros 🦏, and more
  • Engineering & Energy Modeling: SimaPro 🌱, OpenLCA ♻️, Zenon, and CYPELUX 🔋
  • Programming: C, C++, Python, Arduino 🖧
  • Simulation & Optimization: Discrete & Continuous Simulation, Finite Element Analysis 🧑‍💻
  • Other Tools: Weka, PostgreSQL, Minitab 📈, RStudio, and more

Teaching & Research Interests On Data Quality Enhancement 🔬

  • Additive Manufacturing 🖨️, AI in Manufacturing 🤖, Sustainable Energy Solutions 🌞
  • Circular Economy ♻️ & Recycling in Additive Manufacturing 🔄
  • Energy System Modeling & Optimization 🔋
  • Machine Learning 📊 applications in Process Optimization

Extracurricular Activities ⚽️

  • Sports: Rowing 🚣‍♀️, Sailing ⛵, Yoga 🧘‍♀️
  • Hobbies: 3D Printing 🖨️, Robotics 🤖, AI 🤖, and Material Engineering 🧪
  • Leadership: Class representative 🗣️ during high school (2015-2016)

Publication Top Notes

Causal technological model for predicting void fraction and energy consumption in material extrusion process of polylactic acid
    • Authors: 🧑‍🔬 Devito, Mazzarisi, Dassisti, Lavecchia
    • Journal: 📚 Journal of Manufacturing Processes
    • Year: 📅 2024
Notch Effect in Acrylonitrile Styrene Acrylate (ASA) Single-Edge-Notch Bending Specimens Manufactured by Fused Filament Fabrication
    • Authors: 🧑‍🔬 Cicero, Devito, Sánchez, Arrieta, Arroyo
    • Journal: 📚 Materials (MDPI)
    • Year: 📅 2024
Business Models and Advanced Additive Manufacturing strategies for better sustainability
    • Authors: 🧑‍🔬 Devito, Copani, Natalicchio, Al-Alami, Lavecchia, Olabi, Dassisti
    • Journal: 📚 Energy Nexus
    • Year: 📅 2024
Advancing Sustainability in Electron and Laser Beam Powder Bed Fusion Technologies via Innovation: Insights from Patent Analysis
    • Authors: 🧑‍🔬 Devito, Natalicchio, Lavecchia, Dassisti
    • Journal: 📚 Computers & Industrial Engineering
    • Year: 📅 2024
In-process detection of defects on parts produced by laser metal deposition using off-axis optical monitoring
    • Authors: 🧑‍🔬 Mazzarisi, Guerra, Latte, Devito, Galantucci, Campanelli, Lavecchia, Dassisti
    • Journal: 📚 International Journal of Advanced Manufacturing Technology
    • Year: 📅 2023
Recent developments of Additive Manufacturing for circular economy
    • Authors: 🧑‍🔬 Devito, Al-Alami, Olabi, Lavecchia, Dassisti
    • Journal: 📚 Journal of Cleaner Production
    • Year: 📅 2024

Saif Abo Khashaba | Geoscience | Best Researcher Award

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Mr. Saif Abo Khashaba | Geoscience | Best Researcher Award

Mr. Saif Abo Khashaba , Kafrelsheikh university, Egypt.

Publication Profile

Orcid
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Research Gate

🎓 Education & Experience

  • Master’s Degree (2022)
    University: Faculty of Science, Kafrelsheikh University, Egypt
    Field: Geology
    Specialization: Remote Sensing, GIS, Economic Geology, and Geochemistry
  • Bachelor’s Degree (2017)
    University: Faculty of Science, Kafrelsheikh University, Egypt
    Field: Geology
  • Employment History:
    • Assistant Lecturer (2022 – Present)
      Department: Geology, Faculty of Science, Kafrelsheikh University, Egypt
    • Demonstrator (2018 – 2022)
      Department: Geology, Faculty of Science, Kafrelsheikh University, Egypt

💼 Suitability Summary

Mr. Saif Abo Khashaba is an Assistant Lecturer in Geology with extensive experience in Remote Sensing, Geochemistry, and GIS techniques. His expertise lies in exploring mineralized zones through advanced geospatial and geochemical methods. His work contributes to understanding the genesis and accumulation of rare metals and granite petrology in the Eastern Desert of Egypt. He’s also skilled in hyperspectral analysis and GIS software, ideal for mapping and analyzing mineral deposits.

🧠 Research Focus 

  • Remote Sensing and GIS
    • Lithological discrimination, alteration zone detection
    • Integration of ASTER, Sentinel, Landsat, Planet data
    • Use of TerraSpec Halo mineral identifier (ASD) for rock-forming minerals detection
    • Detailed mapping using Fuzzy logic and geochemistry analysis
  • Geochemistry
    • Whole rock and mineral chemistry analysis
    • Exploration of rare metals in Neoproterozoic granites
    • Application of LA-ICP-MS for trace elements analysis
  • Petrology and Geochemistry of Neoproterozoic Granitic Rocks
    • Focus on garnet-bearing granites and tectonic setting analysis

📚 Professional Development 

  • Training & Certifications:
    • Well Logging & Formation Evaluation (2015)
    • Occupational Safety and Health Administration (2016)
    • IT Course (MS Word, Excel, PowerPoint, etc. – 2019)
    • Local TOEFL Score: 527 (2020)
    • Digital Transformation Fundamentals (2022)
  • Software Proficiency:
    • Remote Sensing & GIS: ENVI, ERDAS, ArcGIS, Rockwork, PCI Geomatica
    • Geochemistry: Igpet, GCDKIT, Thermobarometry tools
    • Computer Programming: MS Word, Excel, PowerPoint, Adobe Photoshop

🏆 Honors & Awards 

  • Publications & Citations:
    • h-index: 5
    • Citations: 83
    • Published in prestigious journals like International Journal of Earth Sciences (Impact Factor: 2.3) and Journal of the Geological Society (Impact Factor: 3.288).
  • Conference Presentations:
    • Presented research at International Conference on Earth Sciences (ICES 2023) and Arabian Journal of Geosciences Conference (CAJG 2020).

Publication Top Notes

Genesis of Rare Metal Granites in the Nubian Shield: Tectonic Control and Magmatic and Metasomatic Processes
    • Authors: 🧑‍🔬 Khedr, Abo Khashaba, Takazawa, Hassan, Azer, El-Shibiny, Abdelrahman, Ichiyama
    • Journal: 📚 Minerals
    • Year: 📅 2024
Integrated approach-based groundwater mapping in Sohag Governorate, Upper Egypt, using remote sensing and aeromagnetic data
    • Authors: 🧑‍🔬 El-Badrawy, Abbas, Massoud, Abu-Alam, Alrefaee, Abo Khashaba, Nagy
    • Journal: 📚 Frontiers in Earth Science
    • Year: 📅 2024
Remote sensing and geochemistry of A-type granites, North Arabian-Nubian shield: Insights into the origin and evolution of the granitic suites and processes responsible for rare metals enrichment
    • Authors: 🧑‍🔬 Abo Khashaba, El-Shibiny, Hassan, Drüppel, Azer
    • Journal: 📚 Ore Geology Reviews
    • Year: 📅 2024
Semantic Segmentation of Some Rock-Forming Mineral Thin Sections Using Deep Learning Algorithms: A Case Study from the Nikeiba Area, South Eastern Desert, Egypt
    • Authors: 🧑‍🔬 Hassan, Laban, Abo Khashaba, El-Shibiny, Bashir, Azer, Drüppel, Keshk
    • Journal: 📚 Remote Sensing
    • Year: 📅 2024
Application of remote sensing data integration in detecting mineralized granitic zones: A case study of the Gabal Al-Ijlah Al-Hamra, Central Eastern Desert, Egypt
    • Authors: 🧑‍🔬 Abo Khashaba, El-Shibiny, Hassan, Takazawa, Khedr
    • Journal: 📚 Journal of African Earth Sciences
    • Year: 📅 2023

Qiang Yao | hydraulic engineering | Best Researcher Award

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Dr. Qiang Yao | hydraulic engineering | Best Researcher Award

Sichuan University | China

AUTHOR PROFILE

Scopus

Orcid

CURRENT POSITION 🌟

Dr. Qiang Yao currently holds the position of Associate Professor in the College of Water Resources and Hydropower Engineering at Sichuan University, a role he has occupied since September 2019. In addition to his academic duties, he is engaged in leading significant research projects related to water conservancy and hydropower engineering.

EARLY ACADEMIC PURSUITS 🎓

Dr. Yao’s academic foundation was laid at Sichuan University, where he pursued his undergraduate degree in Water Resources and Hydropower Engineering, graduating in June 2010. His exceptional academic performance continued as he embarked on a Ph.D. in Hydraulic Structure Engineering at the same institution, completing it in June 2015. His doctoral research focused on key topics in water engineering, setting the stage for his future contributions to the field.

PROFESSIONAL ENDEAVORS 💼

Dr. Yao’s professional trajectory includes his role as a Lecturer at Sichuan University’s College of Water Resources and Hydropower Engineering from July 2015 to August 2019. Since then, he has been serving as an Associate Professor, where he continues to contribute to both teaching and research. Over the years, Dr. Yao has built a strong reputation in his field, participating in and leading numerous national research projects, particularly in areas related to seismic risk, landslides, and debris flows.

CONTRIBUTIONS AND RESEARCH FOCUS  ON hydraulic engineering 🔬

Dr. Yao’s research primarily revolves around hydraulic engineering, seismic disaster mechanisms, and blasting vibration comfort. One of his significant research contributions is the development of an energy absorption-based method to evaluate the comfort levels during blasting vibrations. His work also includes the study of landslide dams and the disaster chain effects in narrow-steep gully systems. Dr. Yao’s research has greatly contributed to understanding the disaster risks in strong earthquake zones and provided innovative solutions for mitigating these risks. His projects include national-level research on debris flow mechanisms in earthquake-prone areas and the feasibility of landslide dam developments.

IMPACT AND INFLUENCE 🌍

Dr. Yao’s work has had a profound impact on both academic and practical aspects of water resource engineering. His leadership in large-scale national research projects, such as the Ministry of Science and Technology’s Key R&D Program sub-projects, has advanced the understanding of disaster mitigation in water engineering. His research findings have been influential in shaping policies and practices in flood and landslide risk assessment. Furthermore, his academic contributions have also benefited the local community through the development of improved methods for managing disaster risks in seismic zones.

ACADEMIC CITES 📚

Dr. Yao’s research has been published in several well-respected journals, reflecting his academic stature. Notable publications include articles in Construction and Building Materials, Journal of Vibration and Control, and Frontiers in Earth Science, among others. His work on the infrared identification method for rock grain gradation, the comfort evaluation of blasting vibration, and debris flow discrimination in earthquake areas has garnered significant academic attention and citations. These publications underscore the importance of his work in both theoretical and practical applications in engineering and disaster risk management.

LEGACY AND FUTURE CONTRIBUTIONS 🏅

Dr. Yao has made a lasting impact on the field of hydraulic and water resource engineering. His pioneering work in disaster risk management and seismic engineering will continue to influence future research and practical applications in these areas. As he advances in his academic career, Dr. Yao is likely to continue contributing to the development of new methodologies for risk assessment and disaster mitigation, particularly in regions prone to seismic activity. His ongoing research projects, particularly in energy absorption methods and landslide dams, are expected to provide vital solutions to water engineering challenges in disaster-prone regions.

IMPACT ON THE COMMUNITY 🌐

Dr. Yao’s research and academic contributions extend beyond just his immediate field, impacting broader communities in China and beyond. By collaborating with various government agencies and participating in key national research initiatives, Dr. Yao has helped improve the resilience of communities vulnerable to natural disasters. His work provides innovative solutions that help safeguard both lives and infrastructure in high-risk regions, ensuring the sustainability of water and hydropower systems.

NOTABLE PUBLICATIONS  📑

A study on the stability of dangerous rock mass under blasting vibration considering size effect
    • Author(s): Xinggen Chen; Xinyu Qu; Hongtao Li; Cheng Li; Gongda Lu; Qiang Yao
    • Journal: Bulletin of Engineering Geology and the Environment
    • Year: 2025
Vision based nighttime pavement cracks pixel level detection by integrating infrared visible fusion and deep learning
    • Author(s): Mengnan Shi; Hongtao Li; Qiang Yao; Jun Zeng; Junmu Wang
    • Journal: Construction and Building Materials
    • Year: 2024
A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology
    • Author(s): Qiang Yao; Yu Wu; Jun He; Shunchao Qi; HongTao Li
    • Journal: Structural Control and Health Monitoring
    • Year: 2024
A study on the Stability of Dangerous Rock Mass under Blasting Vibration Considering Size Effect (Preprint)
    • Author(s): Xinggen Chen; Xinyu Qu; Hongtao Li; Xiekang Wang; Cheng Li; Gongda Lu; Qiang Yao
    • Journal: Preprint
    • Year: 2023
Experimental study of erodible bed scoured by the debris flow in the narrow-steep gully
    • Author(s): Yu Wu; Jiejie Ji; Shunchao Qi; Xiekang Wang; Dong Li; Hongtao Li; Xingguo Yang; Qiang Yao
    • Journal: Scientific Reports
    • Year: 2023

Jaimon Dennis Quadros | Optimization Techniques | Best Researcher Award

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Dr. Jaimon Dennis Quadros | Optimization Techniques | Best Researcher Award

University of Bolton Academic Center RAK | United Arab Emirates

AUTHOR PROFILE

Scopus

Orcid

Google Scholar

CURRENT POSITION 🌟

Dr. Jaimon Dennis Quadros is currently serving as the Programme Leader (Head of Department) and Senior Lecturer in Mechanical Engineering at the University of Bolton, Ras-Al-Khaimah (RAK) campus, United Arab Emirates (UAE). He holds a leading role in shaping the curriculum, coordinating research activities, and overseeing the development of the Mechanical Engineering and MSc Engineering Management programs. His responsibilities include leadership, coordination, and fostering engagement between students and industry professionals.

EARLY ACADEMIC PURSUITS 🎓

Dr. Quadros began his academic journey with a Bachelor of Engineering (B.E.) in Mechanical Engineering from P. A. College of Engineering in Mangalore, India, where he graduated with First Class Distinction. His thesis, “Fabrication and Performance Analysis of Different Types of Solar Air Heaters,” showcased his early interest in sustainable energy solutions. He further pursued a Master of Technology (M.Tech) in Mechanical Machine Design from Sahyadri College of Engineering & Management, where he excelled with First Class Distinction. His thesis focused on “Steady-State Aerodynamic Analysis of Aircraft Wings with Constant and Varying Cross Sections.” His quest for knowledge continued with a Ph.D. in Mechanical Engineering Sciences from Visvesvaraya Technological University, India, where he investigated supersonic flows, base pressure, and CFD methodologies, under the mentorship of Dr. Sher Afghan Khan.

PROFESSIONAL ENDEAVORS 💼

Dr. Quadros’s professional career spans multiple prestigious institutions. From March 2016 to January 2021, he served as an Assistant Professor at Birla Institute of Technology (BIT) in Ras-Al-Khaimah, UAE, where he played a pivotal role in teaching and research. He then pursued postdoctoral research at Istanbul Technical University, Turkey, where he collaborated with renowned experts in the Fluids Group, advancing his expertise in fluid dynamics. In January 2022, he took on the role of Programme Leader and Senior Lecturer at the University of Bolton, marking a new phase in his academic leadership journey.

CONTRIBUTIONS AND RESEARCH FOCUS ON Optimization Techniques 🔬

Dr. Quadros’s research is centered around several cutting-edge fields in mechanical engineering. His primary research interests include manufacturing and machining of composite materials, automotive technology, mechanical vibrations, fluid mechanics, computational fluid dynamics (CFD), and experimental fluid mechanics. He is particularly known for his work on multiphase flows, bluff body aerodynamics, and base drag reduction techniques. His work also explores innovative flow control mechanisms such as active and passive flow control, contributing to fields such as automotive aerodynamics and flight mechanics. Moreover, his involvement with computational techniques, including Response Surface Methodology (RSM), Fuzzy Logic, Artificial Neural Networks (ANN), and machine learning, reflects his commitment to interdisciplinary research.

IMPACT AND INFLUENCE 🌍

Dr. Quadros has significantly impacted the academic community through his leadership in research and teaching. As Programme Leader at the University of Bolton, he has been instrumental in fostering student engagement, developing collaborative industry relationships, and promoting cutting-edge research projects. His involvement in the UAE IMechE Design Challenge and coordination of career fairs exemplifies his dedication to shaping future engineers and enhancing student-industry relations. His role in the Industry Advisory Board (IAB) at the University further solidifies his influence in bridging academia and industry. Additionally, his leadership in the ‘Research and Innovation Lab’ at BIT RAK has supported numerous students in enhancing their research skills.

ACADEMIC CITES 📚

Dr. Quadros’s academic endeavors have been well-recognized through multiple publications and research projects. His academic citations include contributions to mechanical engineering topics, particularly in aerodynamics, fluid dynamics, and computational modeling. He has collaborated with leading institutions such as Ford Otosan, Turkey, on significant projects like “Numerical Investigation and Optimization of Bubble Departure and Lift-Off Boiling Models,” which have added value to both academia and industry.

LEGACY AND FUTURE CONTRIBUTIONS 🏅

Dr. Quadros’s legacy is built upon his profound commitment to advancing mechanical engineering through education, research, and industry collaboration. His ongoing journey as a Fellow of the Higher Education Academy (FHEA) and continued pursuit of academic excellence shows his long-term vision for teaching and learning. With his upcoming plans to further expand his research in automotive technology, fluid dynamics, and the application of AI in engineering, Dr. Quadros is poised to make lasting contributions to both academia and industry. His leadership at the University of Bolton, coupled with his focus on multidisciplinary research and student mentorship, will continue to shape the future of mechanical engineering education and innovation.

IMPACT ON THE COMMUNITY 🌐

Dr. Quadros has consistently worked toward fostering community engagement through his leadership in organizing events such as career fairs and the IMechE Design Challenge. His ability to create platforms for students and professionals to interact has positively impacted not just the academic sphere, but also the wider engineering community. His ongoing efforts are geared toward creating a sustainable, innovative, and inclusive environment for future generations of engineers.

NOTABLE PUBLICATIONS  📑

Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
    • Author(s): Jaimon Dennis Quadros; Yakub Iqbal Mogul; Ümit Ağbulut; Ali Etem Gürel; Sher Afghan Khan; Mohammad Nishat Akhtar; R.D. Jilte; Mohammad Asif
    • Journal: International Journal of Thermal Sciences
    • Year: 2024
Statistical modelling of depth milling in Ti-6AL4V using abrasive water jet machining
    • Author(s): Yakub I Mogul; Jaimon D Quadros; Sher Afghan Khan; Manoj Agrawal; Indradeep Kumar; Saboor Shaik; Chanduveetil Ahamed Saleel; Ashish Saxena
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
    • Year: 2024
NEURAL NETWORK PREDICTIVE MODELS TO DETERMINE THE EFFECT OF BLOOD COMPOSITION ON THE PATIENT-SPECIFIC ANEURYSM
    • Author(s): Jaimon Dennis Quadros; Hamed Pahlavani; I. Bedii Ozdemir; Yakub Iqbal Mogul
    • Journal: Journal of Mechanics in Medicine and Biology
    • Year: 2023
Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks
    • Author(s): Jaimon D Quadros; Thalambeti Prashanth; Sher A Khan
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
    • Year: 2022
Fuzzy-based prediction for suddenly expanded axisymmetric nozzle flows with microjets
    • Author(s): Jaimon D. Quadros; Suhas P.; Sher A. Khan; Abdul Aabid; Muneer Baig; Yakub I. Mogul
    • Journal: Bulletin of the Polish Academy of Sciences Technical Sciences
    • Year: 2022