Ruth Belnap | Materials Science | Best Researcher Award

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Ms. Ruth Belnap | Materials Science | Best Researcher Award

Brigham Young University | United States

Author profile

Scopus

Early Academic Pursuits 🎓

Ms. Ruth Belnap embarked on her academic journey at Brigham Young University (BYU), where she achieved a Bachelor of Science in Manufacturing Engineering with a minor in Music, maintaining an impressive GPA of 3.78. Her passion for engineering led her to pursue a Master of Science in Manufacturing Engineering, further enhancing her expertise in the field. During her studies, Ms. Belnap earned a Lean Six Sigma Black Belt and a GSIP Certificate, demonstrating her commitment to process improvement and quality management. Additionally, she became a certified Manufacturing Technologist through the Society of Manufacturing Engineers (SME), solidifying her foundation in manufacturing principles.

Professional Endeavors 🔬

Currently, Ms. Belnap is a Graduate Research Associate at BYU's Friction Stir Research Lab. Since 2022, she has managed multiple high-profile research projects, including a $100k two-year project focused on building prototypes of airplane skin via RFSSW and another $100k project performing tool life tests in hard-to-weld 2xxx aluminum alloys. Her role involves designing and executing experiments, collecting and analyzing data, and utilizing specialized equipment and software such as Excel, JMP, Logger Pro, and Dragonfly. Ms. Belnap has also been instrumental in training undergraduate students and effectively communicating research findings at various conferences. In addition to her research role, Ms. Belnap served as a Technology Reference Assistant at BYU's Harold B. Lee Library Makerspace from 2019 to 2022. There, she consulted patrons on CAD, 3D printing, and other makerspace technologies, led training workshops, and curated documentation and tutorials to enhance the library's resources.

Contributions and Research Focus 🔍

Ms. Belnap's research primarily focuses on advanced welding technologies and manufacturing processes. Her work with Bond Technologies, Refill Friction Stir Spot Welds, and various metallographic techniques highlights her dedication to advancing welding technologies and improving manufacturing quality. Her experience with specialized equipment, such as Keyence optical microscopy and Thermo Fisher Scientific SEM, underscores her commitment to high-precision research and development.

Accolades and Recognition 🏅

Ms. Belnap has made significant contributions to her field, as evidenced by her successful management of substantial research projects and her active participation in conferences. Her expertise in advanced welding technologies and her role in training students reflect her recognition as a valuable contributor to both academic and practical aspects of manufacturing engineering.

Impact and Influence 🌍

Ms. Belnap's work has had a notable impact on the manufacturing industry through her research and contributions to advanced welding technologies. Her ability to manage complex projects and communicate findings effectively demonstrates her influence within the engineering community. Her global experience, including living in three countries and traveling to over 25, further enriches her perspective and ability to address diverse challenges in manufacturing.

Legacy and Future Contributions 🌟

Ms. Belnap's ongoing research and dedication to advancing manufacturing technologies position her as a promising future leader in the field. Her commitment to process improvement, quality management, and educational outreach ensures that her contributions will continue to shape the manufacturing industry. As she progresses in her career, Ms. Belnap's work is likely to inspire future innovations and advancements in engineering.

 

Publications 📘

  • 📰Article: Evaluating the Influence of Tool Material on the Performance of Refill Friction Stir Spot Welds in AA2029
    Authors: Belnap, R., Smith, T., Blackhurst, P., Bosker, J., Hovanski, Y.
    Journal: Journal of Manufacturing and Materials Processing
    Year: 2024
  • 📰Conference Paper: Production Evaluation of Refill Friction Stir Spot Welding
    Authors: Belnap, R., Blackhurst, P., Hovanski, Y., Cobb, J., Misak, H.
    Series: Minerals, Metals and Materials Series
    Year: 2023
  • 📰Conference Paper: 2D Axisymmetric Modeling of RFSSW Repair and Experimental Validation
    Authors: Berger, E., Miles, M., Blackhurst, P., Belnap, R., Hovanski, Y.
    Series: Minerals, Metals and Materials Series
    Year: 2023

 

Ramesh Gupta Burela | Engineering | Best Researcher Award

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Prof Dr. Ramesh Gupta Burela | Engineering | Best Researcher Award

National Institute of Technical Teachers' Training and Research | India

Author Profile 

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Ramesh Gupta Burela embarked on his academic journey with a strong foundation in Civil Engineering, earning a B.Tech from Nagarjuna University in 1998. He further specialized in the field by obtaining an M.Tech in Computer Aided Design of Structures (CADES) from Visveswaraiah Technological University in 2002. His pursuit of knowledge led him to the prestigious Indian Institute of Science (IISc), where he completed his Ph.D. in Aerospace Engineering in 2012. During his Ph.D., he also undertook an internship at Ecole Normale Supérieure (ENS) de Cachan, France, contributing to a CEFIPRA project.

Professional Endeavors 💼

Dr. Gupta's professional career spans over a decade, marked by significant roles in both academia and industry. He began as an Assistant Professor in Mechanical Engineering at Shiv Nadar University (SNU) in 2013 and advanced to Associate Professor by 2019. In 2024, he joined the Civil Engineering department at NITTTR-Bhopal as a Professor. His industry experience includes positions such as Assistant Manager at GKN CoE, Cyient Ltd., and Technical Lead at MSC Software, Symphony Ser. Pvt. Ltd. He has also served as a Guest Faculty at the University of Hyderabad.

Contributions and Research Focus 🔬

Dr. Gupta's research interests are diverse and innovative, encompassing Variational Asymptotic Method (VAM), AI & Machine Learning, nonlinear material models, multifunctional smart structures, and more. He has received numerous grants and project funding for his research, including projects on the development of new materials for sensor improvements, nonlinear multiphysics modeling, and optimization of steering knuckles via AI and Machine Learning.

Accolades and Recognition 🏆

Throughout his career, Dr. Gupta has been recognized for his contributions to science and engineering. His awards include the International Travel Grant from DST (SERB), India, and an International Fellowship from ENS de Cachan, France. He has also been honored with several scholarships and assistantships, reflecting his academic excellence and commitment to research.

Impact and Influence 🌟

Dr. Gupta has significantly impacted the academic and professional communities through his teaching, research, and leadership roles. He has guided numerous Ph.D. and M.Tech students, contributing to the development of future engineers and researchers. His involvement as a journal reviewer and panel member in various conferences and committees highlights his influence and dedication to advancing engineering knowledge.

Legacy and Future Contributions 🌍

Dr. Gupta's legacy is marked by his co-founding of three startups: SYmbosim, MultiFun, and URDHYUTH. These ventures focus on cutting-edge technologies such as multifunctional composites, smart structures, and urban air mobility. His ongoing work aims to bridge the gap between core technologies and emerging fields like AI, Machine Learning, IoT, and Augmented Reality. Dr. Gupta's vision includes establishing a Computer Aided Engineering (CAE) research center to develop smart functional products and structures, contributing to a more efficient and innovative engineering landscape.

 

Publications 📖

📄Non-linear buckling analysis of delaminated hat-stringer panels using variational asymptotic method
Authors: Kumar, A.P. , Méndez, J.P. , Burela, R.G. , Harursampath, D. , Ponnusami, S.A.
Journal: Composite Structures
Year: 2024

 

📄DETAILED DESIGN AND ANALYSIS FOR ADDITIVE MANUFACTURING OF TOPOLOGICALLY OPTIMIZED AND GENERATIVELY DESIGNED TI-6AL-4V HIP JOINT IMPLANT
Authors: Kishor, A. , Burela, R.G. , Gupta, A.
Journal: International Journal for Multiscale Computational Engineering
Year: 2024

 

📄Optical, Thermal, and Mechanical Properties of Scheelite Molybdate and Tungstate Materials Using Atomistic Simulations
Authors: Sistla, Y.S. , Burela, R.G. , Gupta, A. , Tabassum, N.
Journal: Lecture Notes in Mechanical Engineering
Year: 2024

 

📄Baseline Design of Propeller for an eVTOL Aircraft to Achieve Urban Air Mobility
Authors: Faraaz, M. , Faizan, A. , Badarinath, M. , Harursampath, D. , Gupta, R.B.
Journal: IEEE Aerospace Conference Proceedings
Year: 2023

 

📄Snap-through analysis of multistable laminate using the variational asymptotic method
Authors: Phanendra Kumar, A. , Khajamoinuddin, S.M. , Burela, R.G. , Mahesh, V. , Harursampath, D.
Journal: Mechanics Based Design of Structures and Machines
Year: 2023

Banafshe Felfeliyan | Health Professions | Best Researcher Award

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Dr. Banafshe Felfeliyan | Health Professions | Best Researcher Award

University of Alberta | Canada

Author Profile

Scopus

Orcid

 

Early Academic Pursuits

Dr. Banafshe Felfeliyan embarked on her academic journey with a Bachelor's degree in Computer Engineering from Isfahan University of Technology, Iran, followed by a Master's focusing on coronary vessel segmentation. She then pursued a Ph.D. in Biomedical Engineering, specializing in medical imaging, from the University of Calgary, Canada. Her doctoral research delved into automatic quantification of osteoarthritis features using deep learning techniques.

Professional Endeavors

Dr. Felfeliyan's professional career has been marked by significant contributions in the field of medical imaging and artificial intelligence. She served as a Computer Research Engineer at the McCaig Institute, University of Calgary, where she worked on bone segmentation using deep learning. Later, she transitioned to the role of a Postdoctoral Research Fellow at the Radiology & Diagnostic Imaging Department, University of Alberta, leading projects focused on AI-driven MRI biomarker profiling for osteoarthritis.

Contributions and Research Focus

Her research primarily revolves around the intersection of medical imaging and artificial intelligence, with a focus on automated AI biomarker extraction, machine learning, deep learning, and domain adaptation. Dr. Felfeliyan has made significant contributions to the development of novel algorithms and methodologies for medical image segmentation and analysis, particularly in the context of osteoarthritis diagnosis and assessment.

Accolades and Recognition

Dr. Felfeliyan's outstanding contributions have been recognized through numerous honors and awards, including the Alberta Innovates Postdoctoral Recruitment Fellowship, Biomedical Engineering Research Excellence Award, and the AI Week Talent Bursary from the Alberta Machine Intelligence Institute. She was also honored as one of the top 15 young female scientists in Canada at the SCWIST Symposium.

Impact and Influence

Her research outputs, comprising publications in prestigious journals and presentations at international conferences, demonstrate the significant impact of her work on the scientific community. Dr. Felfeliyan's innovative approaches to medical image analysis have the potential to revolutionize clinical diagnosis and treatment planning, ultimately improving patient outcomes and healthcare delivery.

Legacy and Future Contributions

Dr. Felfeliyan's legacy lies in her pioneering work at the intersection of biomedical engineering and artificial intelligence, shaping the future of medical imaging and diagnostics. Her commitment to mentorship and teaching ensures the continuity of her legacy by nurturing the next generation of researchers and engineers. As she continues her academic journey, Dr. Felfeliyan remains dedicated to advancing the frontiers of knowledge and making meaningful contributions to healthcare innovation.

Notable Publications

OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment 2024