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

Jingteng Liu | Business Analytics | Best Researcher Award

Mr. Jingteng Liu | Business Analytics | Best Researcher Award

ESADE Business School, Spain

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🎓 Early Academic Pursuits

Mr. Jingteng Liu’s academic journey began at Northwestern Polytechnical University, where he studied Software Engineering. After completing two years, he transferred to Arizona State University (ASU), where he pursued a Bachelor of Science in Computational Mathematical Sciences from 2017 to 2022. Alongside this, he obtained a Certification in Applied Business Data Analytics (2018-2022). During this period, Mr. Liu laid the foundation for his academic success by immersing himself in subjects that bridged computer science, mathematics, and business analytics.

💼 Professional Endeavors

Mr. Liu’s career has been marked by various leadership roles, with a strong focus on data analysis, machine learning, and business strategy. As Co-Founder of Hans & Associates LLC since May 2017, he formulated and executed comprehensive business strategies that helped transition the start-up into a stable organization. This experience helped him hone his strategic thinking, resource optimization, and market analysis skills. His involvement with Amazon Web Services (AWS) as a Professional Service Intern in 2020 allowed him to work on advanced machine learning models, particularly enhancing predictive analysis and using optimization algorithms. His professional journey has provided him with a wealth of experience, particularly in data-driven decision-making and strategic innovation.

📚 Contributions and Research Focus

Throughout his academic and professional career, Mr. Liu has contributed significantly to data-driven research. Notably, his research as a Barrett College Fellow at ASU in 2019-2022 focused on understanding consumer behavior and the preferences of hydrogen vehicle owners in California. He applied multinomial logistic regression and null hypothesis significance testing to evaluate the factors influencing gas station choices. Mr. Liu also contributed as a Research Assistant at ASU, co-authoring a published paper on mathematical modeling for cancer treatment responses. His research focus has consistently centered on the intersection of data analytics, machine learning, and their applications in real-world challenges.

🌍 Impact and Influence

Mr. Liu’s diverse experiences in data analytics, machine learning, and business strategy have had a significant impact on both academic and professional fields. His work with Amazon on developing predictive models and enhancing customer trend analysis reflects a deep understanding of how technology can transform business outcomes. Additionally, his entrepreneurial work in founding Hans & Associates and MiStraws demonstrates his ability to leverage data-driven insights for sustainable business growth. His contributions have influenced the development of strategic innovation, particularly in the use of AI to drive market forecasting and customer behavior analysis.

📑 Academic Citations

One of Mr. Liu’s key academic achievements was his co-authorship of a published paper titled “Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients”. The research, published by SIAM Undergraduate Research Online, highlights his ability to apply complex mathematical models in the context of healthcare and medicine, contributing to the field of computational oncology. This paper demonstrates his expertise in applied mathematics and its real-world applications in clinical data analysis.

💻 Technical Skills

Mr. Liu possesses an extensive range of technical skills that span across programming languages, data analysis tools, and machine learning frameworks. Some of his core skills include proficiency in Python, SQL, and R, as well as expertise in machine learning algorithms and models such as BERT, Amazon Comprehend, and optimization techniques. He is also well-versed in Excel, Tableau, and Power BI, enabling him to deliver actionable insights from large datasets. These technical skills have been pivotal in his roles, particularly in optimizing business processes and enhancing predictive capabilities.

👨‍🏫 Teaching Experience

While Mr. Liu has not held formal teaching positions, his experiences as a research assistant and fellow at ASU have allowed him to contribute significantly to the academic community. His work on data analysis and research methodologies would have provided valuable mentorship to students and colleagues alike. His ability to communicate complex topics like statistical modeling and machine learning reflects his potential to make a meaningful impact in academia as a future educator.

🌟 Legacy and Future Contributions

Looking forward, Mr. Liu’s trajectory indicates his potential to become a key thought leader in the areas of AI-driven business analytics and strategic innovation. His multidisciplinary expertise in data science, machine learning, and business strategy positions him well to drive cutting-edge innovation in industries ranging from technology to healthcare. He envisions contributing to the advancement of AI and analytics solutions, developing models that offer enhanced business intelligence, operational efficiency, and predictive capabilities. His future contributions are poised to leave a lasting legacy, particularly in fostering sustainable business growth through data-driven decision-making and AI optimization.

Top Noted Publications 📖

  • Hydrogen Fuel Cell Vehicle Adopters Geographically Evaluate a Network of Refueling Stations in California
    • Authors: S Kelley, A Krafft, M Kuby, O Lopez, R Stotts, J Liu
    • Journal: Journal of Transport Geography
    • Year: 2020
  • Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients
    • Authors: J Bennett, X Hu, K Gund, J Liu, A Porter
    • Journal: SIAM Undergraduate Research Online
    • Year: 2021
  • Extreme Heat Effects on Electric Vehicle Energy Utilization and Driving Range
    • Authors: NC Parker, M Kuby, J Liu, EB Stechel
    • Journal: Available at SSRN
    • Year: 2024

Jianping Gao | Quality Control and Process Optimization | Best Researcher Award

Dr. Jianping Gao | Quality Control and Process Optimization | Best Researcher Award

Institute of Process Engineering, Chinese Academy of Sciences, China

👨‍🎓Professional Profile

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👨‍🔬 Current Position

Dr. Jianping Gao is currently an engineer at the State Key Laboratory of Biochemical Engineering at the Institute of Process Engineering, Chinese Academy of Sciences. He specializes in biochemical engineering, with a focus on the development of advanced methods for collagen analysis, biological material degradation, and protein preparation technologies.

🎓 Education

Dr. Gao holds a Ph.D. in Biochemistry from the Institute of Process Engineering, Chinese Academy of Sciences (2024). He also earned his M.Sc. in Food Science (2011) and B.Sc. in Food Quality and Safety (2008) from Shandong Agricultural University.

💼 Professional Experience

Before joining the Institute of Process Engineering in 2015, Dr. Gao worked at Thermo Fisher (China), Inc. as a Mass Spectrometry Application Engineer from 2013 to 2015. His work there involved application development and technical support for mass spectrometry solutions. Since then, his research has focused on biochemical processes and food quality control methods.

🔬 Research Interests

Dr. Gao’s research covers several areas:

  1. Collagen Quality Control: Developing methods for analyzing the physicochemical properties and characteristics of collagen, with a particular focus on HPLC-MS/MS technology.
  2. Biomaterial Degradation: Investigating the degradation of collagen-based biomaterials and recombinant collagen in vivo, including materials like collagen sponges and membranes.
  3. Protein & Peptide Preparation Technologies: Focusing on large-scale preparation methods for animal and plant proteins, such as collagen, soy protein isolate, and wheat germ protein, using cutting-edge extraction and peptide preparation technologies.

🏆 Scientific Achievements

Dr. Gao has published over 40 academic papers, applied for 4 national invention patents, and won 2 provincial and ministerial-level scientific and technological awards. He has also contributed to 8 industry standards, including 1 ISO international standard, and played a role in the development of 2 standard samples. His projects include a sub-project under the National Key Research and Development Program and work funded by the Beijing Natural Science Foundation.

🛠️ Technical Skills

Dr. Gao’s technical expertise includes HPLC-MS/MS analysis, multi-stage countercurrent solid-liquid extraction, and MW homogenized peptide preparation, which are central to his research on collagen, proteins, and peptides.

👨‍🏫 Teaching & Mentorship

Dr. Gao has actively contributed to the academic community through teaching and mentoring roles at the Institute of Process Engineering, guiding students and young researchers in his specialized fields of biochemistry and biochemical engineering.

📖Top Noted Publications

Polyethylene Terephthalate Fiber Modified with Type I Collagen as a 3D Scaffold Material for Bioartificial Liver

  • Authors: Yang Li, Yang Zhang, Jianping Gao, Shuguang Liao, Guifeng Zhang
  • Journal: Applied Sciences
  • Year: 2024

Evaluating the Degradation Process of Collagen Sponge and Acellular Matrix Implants In Vivo Using the Standardized HPLC-MS/MS Method

  • Authors: Jianping Gao, Ye Ma, Zhenhu Guo, Yang Zhang, Fangyu Xing, Tianyang Zhang, Yingjun Kong, Xi Luo, Liming Xu, Guifeng Zhang
  • Journal: Separations
  • Year: 2023