Cristina M.R. Caridade | Engineering | Best Researcher Award

Prof. Dr. Cristina M.R. Caridade | Engineering | Best Researcher Award

Prof. Dr. Cristina M.R. Caridade, Polytechnic of Coimbra, Coimbra, Portugal.

Prof. Dr. Cristina M.R. Caridade is a Coordinate Professor at the Engineering School in Coimbra, ๐Ÿ‡ต๐Ÿ‡น with over 30 years of teaching experience. Holding a PhD in Applied Mathematics, she leads the Physics and Mathematics Department and contributes to research in digital imaging ๐Ÿง , STEM education ๐Ÿ“˜, and mathematical innovation ๐Ÿ”ข. As part of EU-funded projects like ERASMUS+, she inspires future engineers with gamified learning ๐Ÿ•น๏ธ and b-learning strategies ๐Ÿ’ป, promoting excellence in mathematics education.

Profile

๐ŸŽ“ Early Academic Pursuits

Prof. Dr. Cristina Maria Ribeiro Caridade began her academic journey with a degree in Mathematics from the University of Coimbra, Portugal. Her passion for applied mathematics led her to pursue a Master’s and PhD in Applied Mathematics from the University of Porto. These formative years laid the groundwork for her lifelong dedication to mathematical education and research in digital applications and pedagogy.

๐Ÿ’ผ Professional Endeavors

With over three decades of experience, Prof. Caridade has been a Coordinating Professor in the Mathematics Department of the Engineering School in Coimbra, Portugal. She is also the current President of the Physics and Mathematics Department at the same institution. Her leadership has significantly influenced the academic environment, fostering interdisciplinary and applied mathematical education.

๐Ÿ”ฌ Contributions and Research Focus On Engineeringย 

Prof. Dr. Cristinaโ€™s research interests span a wide range of topics, including digital image processing, medical imaging, algorithms, and educational methodologies in mathematics. Her work emphasizes applied mathematics in engineering education, aiming to make complex topics more engaging for students. She also explores STEM, project-based learning, gamification, and the evaluation of mathematical competencies in higher education. Notably, she is part of research centers like CERNAS and SUScita and actively participates in numerous EU-funded projects such as ERASMUS+ and PDR2020.

๐ŸŒ Impact and Influence

Prof. Caridade’s contributions go beyond national borders. Through involvement in innovative educational initiatives like MATH-DIGGER and GIRLS, she fosters international collaboration and enhances global educational practices. Her research has improved teaching strategies and curriculum development across Europe, making mathematics more accessible and practical for engineering students.

๐Ÿง  Research Skills

Cristina Caridade is proficient in digital image processing, medical imaging, algorithm design, and applied mathematics techniques. She is skilled in integrating pedagogical strategies with technology, particularly in blended learning and gamified educational formats. Her methodological expertise in using the SOLO taxonomy and project-based learning has greatly advanced mathematics education research.

๐Ÿ… Awards and Honors

Though specific awards are not listed, Prof. Caridadeโ€™s leadership roles and her inclusion in high-impact European research projects demonstrate a career marked by esteem and professional recognition. Her role as a department president and contributor to various educational reform projects highlights her respected status in academia.

๐Ÿ›๏ธ Legacy and Future Contributions

Cristina M. R. Caridadeโ€™s legacy lies in her sustained contribution to the evolution of mathematics education, bridging the gap between theoretical mathematics and its application in engineering. Her efforts in promoting gender equity through the GIRLS project and enhancing digital literacy among students set a strong precedent for future educators. As she continues to influence policy, pedagogy, and international collaboration, her work will undoubtedly inspire the next generation of researchers and educators in STEM fields.

Publications Top Notes

๐Ÿ“ธ The use of texture for image classification of black & white air photographs
๐Ÿ“ฐ International Journal of Remote Sensing
๐Ÿ”ข Cited by: 78 | ๐Ÿ“… Year: 2008

๐Ÿงฌ Evolutionary and experimental assessment of novel markers for detection of Xanthomonas euvesicatoria in plant samples
๐Ÿ“ฐ PLoS One
๐Ÿ”ข Cited by: 34 | ๐Ÿ“… Year: 2012

๐Ÿ“š CAS and real life problems to learn basic concepts in Linear Algebra course
๐Ÿ“ฐ Computer Applications in Engineering Education
๐Ÿ”ข Cited by: 21 | ๐Ÿ“… Year: 2015

๐Ÿงช Identification of Xanthomonas fragariae, Xanthomonas axonopodis pv. phaseoli, and Xanthomonas fuscans subsp. fuscans…
๐Ÿ“ฐ Applied and Environmental Microbiology
๐Ÿ”ข Cited by: 19 | ๐Ÿ“… Year: 2011

๐Ÿงซ An automatic Method to identify and extract information of DNA bands in Gel Electrophoresis Images
๐Ÿ“ฐ IEEE Engineering in Medicine and Biology Society (EMBC)
๐Ÿ”ข Cited by: 18 | ๐Ÿ“… Year: 2009

๐Ÿ“ Projectโ€based teaching in Calculus courses: Estimation of the surface and perimeter of the Iberian Peninsula
๐Ÿ“ฐ Computer Applications in Engineering Education
๐Ÿ”ข Cited by: 15 | ๐Ÿ“… Year: 2018

๐ŸŽ“ Applying image processing techniques to motivate students in linear algebra classes
๐Ÿ“ฐ Learning
๐Ÿ”ข Cited by: 15 | ๐Ÿ“… Year: 2011

๐Ÿ› ๏ธ Evaluating engineering competencies: A new paradigm
๐Ÿ“ฐ IEEE Global Engineering Education Conference (EDUCON)
๐Ÿ”ข Cited by: 14 | ๐Ÿ“… Year: 2018

๐Ÿงฌ Automatic analysis of macroarrays images
๐Ÿ“ฐ IEEE EMBC
๐Ÿ”ข Cited by: 14 | ๐Ÿ“… Year: 2010

๐Ÿ’ป Tecnologias de informaรงรฃo e comunicaรงรฃo para o enriquecimento no ensino/aprendizagem
๐Ÿ“ฐ Instituto Superior de Engenharia de Coimbra
๐Ÿ”ข Cited by: 11 | ๐Ÿ“… Year: 2012

๐Ÿงฎ GeoGebra augmented reality: Ideas for teaching and learning math
๐Ÿ“ฐ International Conference on Mathematics and its Applications
๐Ÿ”ข Cited by: 10 | ๐Ÿ“… Year: 2021

๐Ÿงฌ Automatic detection of molecular markers in digital images
๐Ÿ“ฐ IEEE EMBC
๐Ÿ”ข Cited by: 10 | ๐Ÿ“… Year: 2009

Hafiz Muneeb Ahmad | Engineering | Best Researcher Award

Mr. Hafiz Muneeb Ahmad | Engineering | Best Researcher Awardย 

Mr. Hafiz Muneeb Ahmad, University of Tulsa, United States.

๐Ÿ”น Hafiz Muneeb Ahmad is a dedicated HVAC engineer and Ph.D. researcher in Mechanical Engineering at the University of Tulsa. With a strong academic background, including an M.Sc. in Thermal Power Engineering and a B.Sc. in Mechanical Engineering, he specializes in erosion and corrosion analysis in multiphase flows using CFD simulations. His professional experience spans HVAC system design, energy management, and experimental research. His technical expertise, leadership skills, and commitment to innovation make him a distinguished researcher in the field. ๐Ÿš€

ย Professional Profile

Orcid Profile

Google Scholar Profile

๐ŸŽ“ Early Academic Pursuits

Hafiz Muneeb Ahmad embarked on his academic journey with a strong inclination towards mechanical engineering. He pursued his Bachelor of Science (B.Sc.) in Mechanical Engineering at Lahore Leads University (LLU), where he secured 1st position with an impressive CGPA of 3.70 out of 4.0. His undergraduate thesis focused on the Design and Fabrication of a Mini Cooling Tower, demonstrating his early interest in thermal power systems. Continuing his education, he earned a Master of Science (M.Sc.) in Thermal Power Engineering from the University of Engineering & Technology Lahore (UET), achieving a CGPA of 3.62 out of 4.0. Currently, he is pursuing a Doctor of Philosophy (Ph.D.) in Mechanical Engineering at the University of Tulsa, maintaining a CGPA of 3.60 out of 4.0. His academic foundation is built upon advanced coursework in heat and mass transfer, HVAC systems, finite element methods, and fluid dynamics.

๐Ÿ’ผ Professional Endeavors

Muneeb has extensive industry experience as an HVAC Engineer and Site Engineer. He has worked with MecaTech Private Ltd. as a Site Engineer (March 2022 – Present), where he oversees HVAC system operations, energy management, and quality assurance. Before this, he was an HVAC Engineer at MA Engineering Services International (Oct 2019 – March 2022), managing chiller operations, system maintenance, and troubleshooting. His responsibilities included energy-efficient measures, BMS integration, heating and cooling load calculations, and HVAC testing and commissioning.

๐Ÿ”ฌ Contributions and Research Focus Onย  Engineering

Muneebโ€™s research is focused on erosion and corrosion in pipelines, specifically analyzing Plugged Tees vs. Elbows in multiphase flows (Liquid-solid, Gas-solid, and Liquid-Solid-Gas flows). His research employs Computational Fluid Dynamics (CFD), Ansys Fluent, Eulerian-Eulerian approach, and Discrete Phase Model (DPM) to validate experimental results. His contributions extend to the Erosion Corrosion Research Center at the University of Tulsa, where he conducts extensive experimental studies and data analysis.

๐ŸŒ Impact and Influence

Muneebโ€™s work has significantly contributed to the understanding of pipeline erosion in industrial applications. His findings aid in optimizing HVAC and thermal power systems, improving energy efficiency, system durability, and cost-effective maintenance strategies. Through his role as a Teaching Assistant at the University of Tulsa, he actively mentors undergraduate students, sharing his expertise in mechanical engineering and HVAC systems.

๐Ÿ“š Academic Citations

Muneebโ€™s research has been acknowledged in academic publications and conference presentations. His studies on pipeline erosion and corrosion mechanisms are relevant to petroleum, chemical, and mechanical engineering sectors, contributing to the advancement of fluid dynamics and material science research.

๐Ÿ… Awards and Honors

Throughout his academic and professional journey, Muneeb has received recognition for his academic excellence, research contributions, and leadership in HVAC engineering. His 1st position in his undergraduate program and his involvement in advanced research projects highlight his dedication and expertise.

๐Ÿš€ Legacy and Future Contributions

With a solid academic and professional background, Muneeb aims to contribute to the development of energy-efficient HVAC systems, advanced pipeline erosion analysis, and cutting-edge thermal power engineering techniques. His future goals include publishing influential research papers, mentoring young engineers, and innovating sustainable energy solutions.

Publications Top Notes

๐Ÿ“„ Experimental and CFD Analysis of Erosion in Plugged Tees in Series

๐Ÿ‘ฅ Authors: HM Ahmad, J Zhang, S Shirazi, S Karimi
๐Ÿ“š Journal: Wear, 205956
๐Ÿ”ข Citations: 1
๐Ÿ“… Year: 2025

๐Ÿ“„ A Novel Technique for Determining Threshold Sand Rates from Acoustic Sand Detectors for Well Integrity Management

๐Ÿ‘ฅ Authors: A Nadeem, M Hasan, F Biglari, H Ahmad, A Ali, RE Vieira, SA Shirazi
๐Ÿ“š Conference: Abu Dhabi International Petroleum Exhibition and Conference, D021S064R008
๐Ÿ”ข Citations: 1
๐Ÿ“… Year: 2024

Muhammad Saleh Urf Kumail Haider | Engineering | Best Researcher Award

Mr. Muhammad Saleh Urf Kumail Haider | Engineering | Best Researcher Award

Mr. Muhammad Saleh Urf Kumail Haider, Chongqing University, Pakistan.

Haider Muhammad Saleh Kumail is a highly accomplished researcher currently pursuing a Masterโ€™s in Electronic Information Engineering at Chongqing University, China. With a B.S. in Electronic Engineering from the University of Sindh, Pakistan, Kumail has contributed significantly to the development of optical fiber sensors and AI-based sensing systems. His work has led to publications in top-tier journals and earned him prestigious awards, including the CSC Fully Funded Masterโ€™s Scholarship and the Best Research Award for his work on graphene-based smart gas sensors.

๐ŸŽ“ Early Academic Pursuits

Haider Muhammad Saleh Kumail began his academic journey at the University of Sindh, Jamshoro, Pakistan, where he completed his B.S. in Electronic Engineering with a GPA of 3.05/4.00 in December 2021. His solid foundation in Electronic Engineering led him to pursue a M.Eng. in Electronic Information Engineering at Chongqing University, China, where he is currently enrolled, maintaining a strong academic performance with a percentage of 82.9%.

๐Ÿ’ผ Professional Endeavors

Haiderโ€™s professional journey has been marked by key roles in research projects related to advanced sensing technologies. He has worked at Chongqing University since January 2023 in the School of Microelectronics and Communication Engineering, contributing to the Lab of Intelligent LiFi and focusing on Optical Fiber Sensors. Previously, from February 2019 to December 2021, he collaborated with the National Centre of Excellence in Analytical Chemistry, University of Sindh, working on Graphene/Silicon Sensors.

๐Ÿ”ฌ Contributions and Research Focus On Engineeringย 

Haiderโ€™s research primarily revolves around optical fiber sensors, AI-based sensing systems, and multiparameter sensing systems. His groundbreaking work includes the development of portable and smartphone-driven sensors for applications in liquid level sensing, refractive index sensing, and humidity measurement. His most recent research, โ€œSimultaneous Measurement of Liquid Level and R.I. Sensor Using POF Based on Twisted Structure,โ€ published in Scientific Reports (Jan. 2025), demonstrates his innovation in fiber-optic sensor technology.

๐ŸŒย Impact and Influence

Haiderโ€™s contributions have significantly impacted the field of sensor technology, particularly in the areas of portable and multiparameter sensing systems. His work has led to advancements in optical fiber sensor design, improving precision and efficiency in fields such as environmental monitoring, industry, and healthcare. His research continues to influence academic peers and pave the way for future innovations.

๐Ÿ† Awards and Recognitions

Haider has received numerous accolades, including:

  • CSC Fully Funded Masterโ€™s Scholarship Award (Sep. 2022 โ€“ Jul. 2025)
  • Best Research Award for his work on Graphene-Based Smart Gas Sensors (Mar. 2022)
  • 1st Position in the Smart Electric Military Vehicle Project (Dec. 2019)

His recognition in the academic and research communities speaks volumes about his dedication and excellence.

๐Ÿ’ช Legacy and Future Contributions

As Haider progresses in his career, his contributions to the optical sensor technology field are expected to leave a lasting legacy, particularly with his focus on smartphone-driven and AI-based sensor systems. In the future, Haider aims to push the boundaries of sensing technology, making it more affordable, efficient, and accessible across various industries.

Publications Top Notes

  • Smartphone-Based Optical Fiber Sensor for Refractive Index Sensing Using POF

    • Publication: Sensors and Actuators A: Physical, 116321 (2025)
    • Authors: MSUK Haider, C Chen, A Ghaffar, LU Noor, M Liu, S Hussain, B Arman, โ€ฆ
    • Year: 2025
    • ๐Ÿ“ฑ๐Ÿ”ฌ
  • Simultaneous Measurement of Liquid Level and RI Sensor Using POF Based on Twisted Structure

    • Publication: Scientific Reports, 15 (1), 1163 (2025)
    • Authors: MSUK Haider, C Chen, A Ghaffar, S Hussain, M Mehdi, LU Noor, โ€ฆ
    • Year: 2025
    • ๐Ÿ’ง๐Ÿ”„
  • Portable Optical Fiber Sensor for Continuous Liquid Level Sensing Using Commercially Available POF

    • Publication: IEEE Sensors Journal (Accepted for publication)
    • Authors: MSUK Haider, C Chen, A Ghaffar, HM Alshehri, LU Noor, M Liu, โ€ฆ
    • Year: 2025
    • ๐Ÿš€๐Ÿ’ก

Mostafa Fathalian | Engineering | Best Researcher Award

Mr. Mostafa Fathalian | Engineering | Best Researcher Award

Mr. Mostafa Fathalian, Institute of Fundamental Technological Research POLISH ACADEMY OF SCIENCES, Poland.

Mostafa Fathalian is a skilled mechanical engineer and researcher specializing in materials science. He has made significant contributions through his research on the mechanical and electronic properties of advanced materials, utilizing density functional theory (DFT) and molecular dynamics. Fathalianโ€™s work, published in high-impact journals, explores materials like Al2O3, SiC interfaces, and carbon fiber/polycarbonate laminates. With a strong background in mechanical engineering, he has participated in numerous international workshops and conferences. His technical skills are complemented by certifications in AutoCAD, CATIA, and other specialized training, showcasing his dedication to continual learning and innovation in his field.

Professional Profile

๐ŸŒŸ Suitability for Best Researcher Award

Mostafa Fathalian is highly qualified for the Best Researcher Award due to his outstanding contributions in mechanical engineering and materials science. His research focuses on using advanced computational methods, including Density Functional Theory (DFT) and Molecular Dynamics, to analyze and enhance the mechanical and electronic properties of materials such as Al2O3, SiC, and carbon composites. With several high-impact publications in renowned journals like Molecules and Fibers and Polymers, his work is instrumental in understanding material behaviors at the atomic level. Additionally, his expertise is complemented by active participation in workshops, including those on high-performance computing and machine learning, as well as conference presentations where he shares his insights with the global scientific community.

๐ŸŽ“ย Education

Mostafa Fathalian holds a robust academic background, with a focus on mechanical engineering and materials science. He obtained his engineering education in Iran, where he built a strong foundation in technical disciplines. His commitment to advancing his expertise led him to participate in various specialized training programs and workshops throughout his career. In addition to his formal education, Fathalian continually seeks opportunities for professional development, attending renowned international courses such as the Fortran for Scientific Computing and Machine Learning workshops. His academic pursuits have significantly enhanced his research capabilities in the fields of materials science and mechanical engineering.

๐Ÿ”ฌResearch Contributions On Engineeringย 

Mostafa Fathalianโ€™s research contributions primarily focus on the mechanical and electronic properties of advanced materials using density functional theory (DFT) and molecular dynamics. His work includes groundbreaking studies on the behavior of Al2O3, SiC interfaces, and carbon fiber/polycarbonate laminates, providing insights into their mechanical strength and performance under various conditions. Fathalian has also explored the effects of nanosilica on material properties and the impact of defects in zinc-oxide graphene-like structures. His contributions have advanced the understanding of nanostructures and their applications in engineering, paving the way for the development of novel materials for various industrial applications.

๐Ÿ’ผProfessionalย Experience

Mostafa Fathalian has a rich background in mechanical engineering, having worked in various capacities that showcase his problem-solving and technical skills. From 2010 to 2011, he served as a Mechanical Engineer at Sanat Gomes Company, where he specialized in troubleshooting, repairing, and maintaining hydraulic systems to ensure their optimal performance. He also managed mechanical issues, worked closely with rig crews, and collaborated with other departments to resolve technical challenges. Additionally, Fathalianโ€™s expertise includes acquiring spare parts and promoting a safety culture through active involvement in safety meetings and drills, contributing to efficient and safe operations.

๐Ÿ…Awards and Recognition

Mostafa Fathalian has received significant recognition for his contributions to the fields of mechanical engineering and materials science. His research has led to impactful publications in high-profile journals, addressing critical aspects of mechanical and electronic properties of advanced materials. Fathalianโ€™s active participation in international conferences, such as the KSME Annual Meeting and KUKDM, highlights his global influence in the scientific community. He has also earned several technical certifications and patents, further showcasing his expertise and innovation. His work continues to inspire and advance the understanding of complex materials, establishing him as a distinguished researcher in his field.

Conclusion

Mostafa Fathalianโ€™s outstanding research contributions, technical expertise, and active involvement in international workshops and conferences make him a strong contender for the Best Researcher Award. His work in materials science, particularly through the application of density functional theory and molecular dynamics, has provided critical insights that continue to shape advancements in nanotechnology and engineering, positioning him as an exemplary researcher.

๐Ÿ“šPublication Top Notes

DFT study of Ni, Cu, Cd and Ag heavy metal atom adsorption onto the surface of the zinc-oxide nanotube and zinc-oxide graphene-like structure

๐Ÿ“… Year: 2018 | ๐Ÿ“š Citations: 92
๐Ÿ“ Materials Chemistry and Physics 220, 366-373

Effect of various defects on mechanical and electronic properties of zinc-oxide graphene-like structure: A DFT study

๐Ÿ“… Year: 2019 | ๐Ÿ“š Citations: 75
๐Ÿ“ Vacuum 165, 26-34

Theoretical studies on the mechanical and electronic properties of 2D and 3D structures of beryllium-oxide graphene and graphene nanobud

๐Ÿ“… Year: 2019 | ๐Ÿ“š Citations: 57
๐Ÿ“ Applied Surface Science 476, 36-48

Density functional theory study of adsorption properties of non-carbon, carbon, and functionalized graphene surfaces towards the zinc and lead atoms

๐Ÿ“… Year: 2018 | ๐Ÿ“š Citations: 48
๐Ÿ“ Physica E: Low-dimensional Systems and Nanostructures 104, 275-285

Effect of nanosilica on the mechanical and thermal properties of carbon fiber/polycarbonate laminates

๐Ÿ“… Year: 2019 | ๐Ÿ“š Citations: 11
๐Ÿ“ Fibers and Polymers 20, 1684-1689

Mechanical and electronic properties of Al (111)/6H-SiC interfaces: A DFT study

๐Ÿ“… Year: 2023 | ๐Ÿ“š Citations: 9
๐Ÿ“ Molecules 28 (11), 4345

A Comprehensive Study of Al2O3 Mechanical Behavior Using Density Functional Theory and Molecular Dynamics

๐Ÿ“… Year: 2024 | ๐Ÿ“š Citations: 4
๐Ÿ“ Molecules 29 (5), 1165

Effect of Diffusion on the Ultimate Axial Load of Complex-Shaped Al-SiC Samples: A Molecular Dynamics Study

๐Ÿ“… Year: 2024
๐Ÿ“ Molecules 29 (14), 3343

Investigating the Mechanical Characteristics of Al2O3 through Density Functional Theory and Molecular Dynamics

๐Ÿ“… Year: 2024
๐Ÿ“ The sixteenth Conference of Users of Big Power Computers (KU KDM2024)

Crack Development in Al2O3: A DFT Study

๐Ÿ“… Year: 2023
๐Ÿ“ ๋Œ€ํ•œ๊ธฐ๊ณ„ํ•™ํšŒ ์ถ˜์ถ”ํ•™์ˆ ๋Œ€ํšŒ, 20-20

Analysis of Mechanical and Electronic Properties of Al-SiC Interfaces: Ab Initio Method

๐Ÿ“… Year: 2023
๐Ÿ“ 2nd International Conference on Applied Physics and Engineering (ICAPE)

Atomistic Insights into Tensile Damage of Functionally Graded Al-Sic Composites

๐Ÿ“ Available at SSRN 4963141

 

Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala, IIT Bombay, India.

Dr. Ramana Raja Buddala is a Ph.D. candidate at IIT Bombay, specializing in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His research focuses on damage detection in composite honeycomb sandwich structures using ultrasonic guided waves. With a background in Structural Engineering (M.Tech from IIT Kharagpur), his work integrates AI and ML applications in SHM. Dr. Buddala has published extensively in leading journals such as Scientific Reports and Smart Materials and Structures. His expertise in signal processing, AI, and mentoring students demonstrates his significant contributions to the field of structural engineering and his commitment to academic excellence.

๐Ÿ‘จโ€๐ŸซProfessional Profile:

๐ŸŒŸSuitability for Best Researcher Award

Dr. Ramana Raja Buddala is an exceptional candidate for the Excellence in Research Award, possessing a strong academic foundation and a diverse range of research interests, particularly in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His doctoral work at IIT Bombay, focused on damage detection in honeycomb composite sandwich structures using ultrasonic guided wave propagation, highlights his innovative approach and advanced technical expertise. With over five publications in reputable journals and conference proceedings, Dr. Buddala has made significant contributions to the field, including the integration of AI and ML techniques in SHM applications. He is well-versed in advanced signal processing, ultrasonic testing, and finite element modeling, alongside proficiency in programming languages like MATLAB and Python. Dr. Buddala has demonstrated mentoring capabilities and has also contributed to academia through teaching roles at various institutes.

๐ŸŽ“ย Educational Background:

Dr. Ramana Raja Buddala completed his Ph.D. at IIT Bombay (2019โ€“2024), where his research focused on the damage detection and assessment of honeycomb composite sandwich structures using ultrasonic guided wave propagation. Prior to his doctoral studies, he earned an M.Tech in Structural Engineering from IIT Kharagpur (2006โ€“2011), where he worked on improving the delamination resistance capacity of sandwich composite columns. Dr. Buddala also completed his B.Tech in Civil Engineering from IIT Kharagpur through a dual-degree program, gaining a solid foundation in engineering principles that supported his subsequent research and academic career.

๐Ÿ’ผ Professionalย Experience:

Dr. Ramana Raja Buddala has extensive teaching and industrial experience. As a Teaching Assistant at IIT Bombay from 2019 to 2024, he contributed to courses such as Non-Destructive Testing of Materials and Structural Mechanics. Previously, he taught at NIT-AP and ANITS, covering subjects like Concrete Technology and Structural Analysis. In industry, Dr. Buddala worked as a Structural Engineer at NMDC and United Gulf Construction Consortium, where he gained hands-on experience in large-scale projects like an 8-lane expressway and a 1.2 MTPA pellet plant. His diverse background bridges academic excellence and practical engineering applications.

๐ŸŒResearch Contributions On Engineeringย 

Dr. Buddala’s work on the non-destructive evaluation of composite materials, including his contributions to the development of unsupervised deep learning frameworks for temperature-compensated damage assessment, highlights his innovative approach to SHM. His pioneering research on the interaction between ultrasonic-guided waves and structural damage has advanced the understanding of damage detection techniques, which are crucial for industries relying on composite and metallic structures. With multiple publications in top-tier journals, including Scientific Reports and Smart Materials and Structures, his contributions have established him as a thought leader in his field.

๐Ÿ’กRecognition and Impact:

Dr. Ramana Raja Buddala has made significant contributions to the field of Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE), earning recognition for his innovative research on damage detection in composite structures using ultrasonic guided waves. His work has been published in prestigious journals, such as Scientific Reports and Smart Materials and Structures, highlighting the impact of his findings on both academia and industry. Dr. Buddalaโ€™s application of AI and ML in SHM has opened new avenues for advanced structural assessments. His mentorship and technical expertise have influenced numerous students, enhancing the broader engineering communityโ€™s research capabilities.

Conclusion:

Dr. Ramana Raja Buddalaโ€™s impressive blend of academic achievements, impactful research, hands-on experience with cutting-edge technologies, and dedication to mentorship underscores his eligibility for the Excellence in Research Award. His continued contributions to the fields of structural engineering and health monitoring through innovative methodologies make him a deserving candidate for this prestigious recognition.

 

๐Ÿ“šPublication Top Notes

Multi-stage guided wave technique for estimating the shape and size of multiple damages in honeycomb sandwich structures

Journal: Measurement

DOI: 10.1016/j.measurement.2025.116724

Year: 2025 ๐Ÿ“…

Contributors: Ramana Raja Buddala, Rohan Soman, Siddharth Tallur, Sauvik Banerjee

The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network

Journal: Smart Materials and Structures

DOI: 10.1088/1361-665X/ace40b

Year: 2023 ๐Ÿ“…

Contributors: Ramana Raja B, Sheetal Patil, Pankhi Kashyap, Siddharth Tallur, Sauvik Banerjee

 

 

 

Micael Nascimento | Engineering | Best Researcher Award

Dr. Micael Nascimento | Engineering| Best Researcher Award

Dr. Micael Nascimento, Universidade de Aveiro, Portugal.

Dr. Micael dos Santos Nascimento is a distinguished researcher at the University of Aveiro, specializing in optoelectronics, photonics, and energy storage systems. He earned his Ph.D. in Physical Engineering in 2019, pioneering the integration of optical fiber sensing networks for monitoring lithium-ion battery safety parameters. With over a decade of experience, Dr. Nascimento has made significant strides in developing multi-parameter optical fiber sensors for advanced battery technologies, aligning his work with EU2030+ sustainability targets. He has contributed to numerous high-impact research projects, including the EU-funded INSTABAT and ILLIANCE projects, and is set to lead the TRACKENERGY project (2025โ€“2031). Dr. Nascimento’s scholarly contributions include >30 scientific works in leading journals, earning him >700 citations and an h-index of 11. Beyond his research, he mentors students and teaches optical technologies, bridging academia and industry with collaborations involving global institutions and companies like BMW and VARTA

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Micael dos Santos Nascimento demonstrates exceptional qualifications for the Best Researcher Award through his impactful contributions to photonics, optoelectronics, and energy storage systems. His pioneering work in integrating optical fiber sensors into Li-ion batteries has significantly advanced the monitoring of critical safety parameters like temperature and strain, contributing to enhanced battery safety and efficiency. His involvement in prestigious projects, such as SIRBATT, INSTABAT, and ILLIANCE, reflects his commitment to innovation in line with EU2030+ climate targets.

๐ŸŽ“ย Education:

Dr. Micael dos Santos Nascimento completed his Ph.D. in Physical Engineering from the University of Aveiro (UAVR) in 2019. His doctoral research focused on optoelectronics and photonics, specifically developing integrated optical fiber sensing devices for monitoring temperature and strain in lithium-ion batteries. This pioneering work laid the foundation for integrating optical fiber sensing networks into commercially available and laboratory-prepared batteries. During his academic journey, Dr. Nascimento acquired expertise in advanced sensor technologies and multi-parameter monitoring systems. His educational background reflects a strong emphasis on innovative approaches to energy storage, photonics, and sustainability, aligning with modern scientific and industrial advancements.

๐Ÿ’ผ Professionalย Experience:

Dr. Micael dos Santos Nascimento has an extensive professional background as a researcher and academic in the field of optoelectronics and photonics. Since 2016, he has served as an Assistant Lecturer in the Physics Department at the University of Aveiro, teaching specialized courses on optical technologies. His research focuses on developing advanced optical fiber sensing technologies for battery safety and performance monitoring, contributing to multiple high-impact projects like SIRBATT, INSTABAT, and ILLIANCE. Dr. Nascimento has supervised numerous students in physical engineering programs and advanced specialization courses, fostering innovation and excellence in applied physics and energy storage systems.

๐ŸŒResearch Contributions:

Dr. Micael dos Santos Nascimento possesses extensive expertise in optoelectronics, photonics, and advanced energy storage systems. He specializes in developing multi-parameter optical fiber sensors, including Fiber Bragg Grating (FBG) and interferometry-based sensors, for applications in battery monitoring and wireless power transfer. His technical skills include designing, characterizing, and integrating hybrid sensors for thermal and mechanical monitoring. Dr. Nascimento excels in data analysis, experimental testing, and publishing high-impact research. He is adept at bridging theoretical research with practical applications, focusing on next-generation lithium/sodium batteries and solid-state technologies for electric mobility.

๐Ÿฅ‡Award and Honors:

Dr. Micael dos Santos Nascimento has received recognition for his pioneering work in optoelectronics and photonics. His contributions to advanced optical fiber sensing technologies for battery monitoring have garnered national and international acclaim. Dr. Nascimento has been acknowledged for his role in prestigious projects, such as INSTABAT and ILLIANCE, and his innovative research has been featured in high-impact journals, earning him >700 citations and an h-index of 11. His dedication to mentoring students and advancing sustainable energy solutions has positioned him as a leading researcher, making his work integral to achieving EU2030+ climate goals.

Conclusion:

Dr. Micael dos Santos Nascimentoโ€™s exemplary contributions to optoelectronics, photonics, and energy storage technologies position him as a leading figure in his field. His pioneering work on optical fiber sensing networks for lithium-ion batteries has advanced battery safety and sustainability efforts, aligning with global energy goals.ย  Dr. Nascimento’s leadership in prestigious projects like INSTABAT and TRACKENERGY underscores his commitment to advancing science and mentoring future researchers. He is a deserving candidate for the Research for Best Researcher Award.

๐Ÿ“šPublication Top Notes:

1๏ธโƒฃ Internal strain and temperature discrimination with optical fiber hybrid sensors in Li-ion batteries โ€“ Journal of Power Sources (Cited by 167, 2019) ๐Ÿ”‹๐Ÿ“
2๏ธโƒฃ Internal and external temperature monitoring of a Li-ion battery with fiber Bragg grating sensors โ€“ Sensors (Cited by 164, 2016) ๐Ÿ”‹๐ŸŒก๏ธ
3๏ธโƒฃ Real time thermal monitoring of lithium batteries with fiber sensors and thermocouples: A comparative study โ€“ Measurement (Cited by 118, 2017) ๐Ÿ“Š๐Ÿ•’
4๏ธโƒฃ Temperature fiber sensing of Li-ion batteries under different environmental and operating conditions โ€“ Applied Thermal Engineering (Cited by 50, 2019) ๐ŸŒก๏ธ๐Ÿž๏ธ
5๏ธโƒฃ Thermal mapping of a lithium polymer batteries pack with FBGs network โ€“ Batteries (Cited by 46, 2018) ๐Ÿ—บ๏ธ๐Ÿ”‹
6๏ธโƒฃ Simultaneous sensing of temperature and Bi-directional strain in a prismatic Li-ion battery โ€“ Batteries (Cited by 43, 2018) โ†”๏ธ๐ŸŒก๏ธ
7๏ธโƒฃ Embedded fiber sensors to monitor temperature and strain of polymeric parts fabricated by additive manufacturing and reinforced with NiTi wires โ€“ Sensors (Cited by 29, 2020) ๐Ÿงฌ๐Ÿ“