Jaimon Dennis Quadros | Optimization Techniques | Best Researcher Award

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

University of Bolton Academic Center RAK | United Arab Emirates

AUTHOR PROFILE

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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

JunYun Zhang | Data Quality | Best Researcher Award

Dr. JunYun Zhang l Data Quality | Best Researcher Award

Peking University, China

Author Profile

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👨‍🔬 Dr. JunYun Zhang – Academic Profile

Dr. JunYun Zhang is an Associate Professor at the School of Psychological and Cognitive Sciences at Peking University, China. He has been a key figure in the academic world since 2012, holding various positions, including Assistant Professor at Peking University and a visiting scholar/postdoc at the University of California, Berkeley. His diverse career also includes a lecturer role at the Institute of Cognitive Neuroscience & Learning, Beijing Normal University.

🎓 Educational Background

Dr. Zhang completed his Ph.D. in Neurobiology from the Institute of Neuroscience, Chinese Academy of Sciences, where he worked under the mentorship of Cong Yu. His academic journey began with a B.S. in Special Education from East China Normal University, laying the foundation for his future research in cognitive sciences.

🧠 Research Interests

His primary research areas encompass visual perception and cognition, as well as learning and memory. Notably, Dr. Zhang explores topics such as perceptual learning, amblyopia (a visual disorder), and visual crowding, where he investigates how the brain processes and learns visual stimuli, even in challenging conditions.

💡 Research Grants

Dr. Zhang has received several prestigious grants, including significant funding from the Natural Science Foundation of China for projects spanning 2024 to 2027, 2020 to 2023, and earlier years. These grants support his ongoing research into visual perception and learning mechanisms.

🎤 Conference Presentations & Moderation

Dr. Zhang has actively contributed to numerous conferences, where he not only presents his work but also moderates sessions. He has been a part of invited symposia and workshops worldwide, including events in Geneva, Switzerland, and Nara, Japan. His conference talks span high-profile events such as the Vision Science Society and European Conference on Visual Perception.

⚙️ Professional Activities

Dr. Zhang plays a vital role in the academic community through editorial duties. He is an Associate Editor for Frontiers in Psychology – Consciousness Research and reviews for multiple prestigious journals like Vision Research and PLOS One. He is a member of renowned organizations such as the Vision Sciences Society and the Society for Neuroscience.

📚 Teaching Contributions

Dr. Zhang’s commitment to education is evident through his involvement in both undergraduate and graduate courses. He teaches a variety of subjects, including Vision & Visual Arts, Experimental Psychology, and Perceptual Learning, and has developed specialized graduate courses on research methods and perceptual processing. His passion for cognitive sciences and his experience continue to inspire future generations of researchers.

Dr. Zhang is a dedicated scholar, deeply engaged in both research and teaching, with a significant impact in the fields of visual perception and cognitive neuroscience. 🌍

📖 Top Noted Publications 

Feature variability determines specificity and transfer in multiorientation feature detection learning

Authors: Zhu, J.-P., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2024

Contour integration deficits at high spatial frequencies in children treated for anisometropic amblyopia

Authors: Jiang, S.-Q., Chen, Y.-R., Liu, X.-Y., Zhang, J.-Y.
Journal: Frontiers in Neuroscience
Year: 2023

The impact of training on the inner–outer asymmetry in crowding

Authors: Chen, Y.-R., Zhang, Y.-W., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2023

Dichoptic perceptual training in children with amblyopia with or without patching history

Authors: Liu, X.-Y., Zhang, Y.-W., Gao, F., Chen, F., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2021

Dichoptic de-masking learning in adults with amblyopia and its mechanisms

Authors: Liu, X.-Y., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2019

Vernier learning with short- and long-staircase training and its transfer to a new location with double training

Authors: Zhang, J.-Y., Yu, C.
Journal: Journal of Vision
Year: 2018