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

Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey at Addis Ababa Science and Technology University, Ethiopia

👨‍🎓 Professional Profile

 📚 Early Academic Pursuits

Dr. Tesfay Gidey Hailu’s academic journey began with a strong foundation in Statistics at Addis Ababa University, where he earned his BSc with a minor in Computer Science. This rigorous curriculum equipped him with vital skills in statistical methods and computer programming, laying the groundwork for his future studies. He furthered his education with an MSc in Health Informatics and Biostatistics at Mekelle University, delving into advanced topics such as epidemiology and public health, which ignited his passion for applying data-driven solutions in healthcare.

💼 Professional Endeavors

Dr. Gidey has demonstrated remarkable leadership in academia, serving as Associate Dean at Addis Ababa Science and Technology University (AASTU) for multiple departments. His responsibilities included driving research initiatives, enhancing curriculum quality, and overseeing student services. Additionally, his role as Head of Department at Jimma University showcased his commitment to improving departmental operations and student satisfaction. His extensive experience in project management underscores his ability to lead technology projects effectively.

🔬 Contributions and Research Focus

Dr. Gidey’s research is centered on critical areas such as signal processing, indoor localization, and machine learning. His Ph.D. work at the University of Electronic Science and Technology of China focused on applying advanced algorithms to real-world problems, particularly in indoor positioning systems. His contributions to quality control in manufacturing industries and the modeling of public health data further highlight his dedication to leveraging data for impactful solutions.

🌍 Impact and Influence

Through his academic and professional endeavors, Dr. Gidey has significantly influenced the fields of Information and Communication Engineering and data science. His ability to bridge theory and practical application positions him as a valuable asset in technology-driven environments. His commitment to mentoring students and faculty alike has fostered a culture of innovation and continuous improvement within the institutions he has served.

📊 Academic Citations

Dr. Gidey’s scholarly work has gained recognition within academic circles, with several publications focusing on his research areas. His contributions to journals as a reviewer and author have enriched the body of knowledge in his fields, emphasizing the importance of interdisciplinary approaches to problem-solving.

🛠️ Technical Skills

Dr. Gidey is proficient in a variety of programming languages, including Python, R, Java, and C++. He is skilled in using statistical tools such as SAS, SPSS, and advanced machine learning packages. His expertise in data visualization and business intelligence tools, like Tableau and Power BI, equips him to extract meaningful insights from complex datasets.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Gidey has effectively communicated complex subjects to students, ensuring they grasp fundamental concepts in information technology and data science. His ability to adapt his teaching methods to diverse learning styles has contributed to high levels of student engagement and success.

🌟 Legacy and Future Contributions

Dr. Gidey is dedicated to advancing the fields of data science and information engineering through research, teaching, and community engagement. His vision includes fostering collaborations between academia and industry, particularly in developing innovative solutions for public health and manufacturing. As he continues his career, Dr. Gidey aims to leave a lasting legacy that inspires future generations of engineers and data scientists.

📈 Conclusion

With a strong foundation in academic excellence, professional leadership, and research innovation, Dr. Tesfay Gidey Hailu stands poised to make significant contributions to the field of Information and Communication Engineering. His passion for data and commitment to actionable results ensure he will continue to drive progress and inspire those around him.

 

📖 Top Noted Publications

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Measurement Science and Technology
  • Author: Bright Awuku; Ying Huang; Nita Yodo; Eric Asa
    Journal: Measurement Science and Technology
    Year: 2024
Measurement Science and Technology
  • Author: Xun Zhang; Guanghua Xu; Xiaobi Chen; Ruiquan Chen; Jieren Xie; Peiyuan Tian; Sicong Zhang; Qingqiang Wu
    Journal: Measurement Science and Technology
    Year: 2024
Machine Learning: Science and Technology
  • Author: Omer Subasi; Sayan Ghosh; Joseph Manzano; Bruce Palmer; Andrés Marquez
    Journal: Machine Learning: Science and Technology
    Year: 2024
 MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection
  • Author: Tesfay Gidey Hailu; Taye Abdulkadir Edris
    Journal: Intelligent Information Management
    Year: 2023