Seung-Bok Choi | Smart Cities and Urban Analytics | Lifetime Achievement Award

Prof. Seung-Bok Choi | Smart Cities and Urban Analytics | Lifetime Achievement Award

Inha University | South Korea

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INTRODUCTION 🌟

Professor Seung-Bok Choi is a distinguished academician and researcher in the field of mechanical engineering. He is currently serving as a leading professor at the Mechanical Engineering Department of The State University of New York, Korea (SUNY Korea), after a successful career at Inha University. His expertise lies in dynamic systems, with a primary focus on smart materials such as MR Fluid, ER Fluid, SMA, and piezoelectric materials, contributing significantly to the fields of vibration control, mechanical systems, and smart materials.

EARLY ACADEMIC PURSUITS 🎓

Professor Choi’s academic journey began in South Korea, where he earned his Bachelor’s degree in Mechanical Engineering from Inha University in 1979. He then pursued his graduate studies at Michigan State University in the United States, obtaining his Master’s degree in 1986 and a Ph.D. in 1990, both in Mechanical Engineering. These foundational years equipped him with the expertise needed to make profound contributions in his field.

PROFESSIONAL ENDEAVORS 👨‍🏫

After completing his studies, Professor Choi embarked on a distinguished career in academia and research, initially serving as a faculty member at Inha University for over 30 years. In 2021, he transitioned to SUNY Korea, where he continues to lead significant research in mechanical engineering. His professional journey also includes holding prominent editorial positions in several esteemed international journals, contributing to the global development of smart material technologies.

CONTRIBUTIONS AND RESEARCH FOCUS 🧠

Professor Choi’s research has greatly advanced the field of dynamic systems and smart materials. His work on materials like MR Fluid, ER Fluid, SMA, and piezoelectric materials has shaped the design of modern systems used in robotics, aerospace, automotive, and civil engineering. He has authored over 750 SCI-indexed articles and 20 books or book chapters, underlining his profound influence on both theoretical and applied research.

IMPACT AND INFLUENCE 🌍

Professor Choi’s groundbreaking work in vibration control, dynamic systems, and smart materials has had a significant impact globally. His innovative contributions have helped shape modern technologies used in industries such as robotics and aerospace. His research has provided a scientific foundation for the development of intelligent systems, pushing the boundaries of what is possible in the engineering world.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Professor Choi is widely recognized for his scholarly work, which has earned him an impressive Google Scholar h-index of 73 and over 25,000 total citations by December 2024. He ranks as one of the leading researchers worldwide, particularly in the fields of vibration control (#1) and smart materials (#2), demonstrating the global significance of his contributions.

HONORS & AWARDS 🏆

Throughout his illustrious career, Professor Choi has received numerous prestigious honors, including the 8th Duckmyung Engineering Academy Award in 2014 and the Korea Engineering Award (Young Engineer Award) in 2000. He is also a distinguished fellow of the Korean Academy of Science and Technology (KAST) and has been recognized by numerous global organizations such as ASME (American Society of Mechanical Engineers).

LEGACY AND FUTURE CONTRIBUTIONS 🏛️

Professor Choi’s legacy as a researcher and educator will endure for many years to come. His mentorship has shaped the careers of many engineers and researchers, with 156 M.S. students, 45 Ph.D. students, and 14 postdoctoral fellows under his guidance. His continued work at SUNY Korea will likely drive further breakthroughs in mechanical engineering and smart materials.

FINAL NOTE ✨

Professor Seung-Bok Choi’s remarkable career is a testament to his unwavering dedication to advancing mechanical engineering, smart materials, and dynamic systems. His pioneering research and contributions continue to influence the field, and as he moves forward with his work at SUNY Korea, his legacy will undoubtedly inspire future generations of engineers and researchers.

 TOP NOTES PUBLICATIONS 📚

Leakage Characteristics and Experimental Research of Staggered Labyrinth Sealing
    • Authors: N. Wang, Y. Cao, Z. Sun, S. Tang, S.B. Choi

    • Journal: Lubricants

    • Year: 2024

Ultrastretchable, Tough, and Highly Conductive Ionogels for Multipurpose Motion Monitoring
    • Authors: M. Kim, J. Kim, H. Yoo, K. Hong, K. Lee

    • Journal: ACS Materials Letters

    • Year: 2024

Analytical Modeling and Simulations of a Piezoelectric Nanorod for Energy Harvesting via Eringen’s Differential Model
    • Authors: M. Zarepour, S.B. Choi

    • Journal: Applied Physics A: Materials Science and Processing

    • Year: 2024

A Modified Parametric Model to Predict Visco-elastic Properties of Magneto-rheological Elastomers at Non-LVE Region
    • Authors: D.M. Patel, R.V. Upadhyay, S.A. Mazlan, S.B. Choi

    • Journal: Journal of Intelligent Material Systems and Structures

    • Year: 2024

The Actuating Characteristics of Magnetorheological Fluids Subjected to Particle Sedimentation and Temperature Variation
    • Authors: E.T. Maharani, D. Lee, Y. Kim, J.S. Oh, S.B. Choi

    • Journal: Actuators

    • Year: 2024

Radwa Rady | Biomedical Engineering | Best Researcher Award

Dr. Radwa Rady | Biomedical Engineering | Best Researcher Award

Alexandria University | Egypt

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🌟 INTRODUCTION

Dr. Radwa Rady is a meticulous, bilingual professional with a broad range of skills in IT applications, biomedical engineering, and communication technologies. With her extensive expertise in both theoretical and practical aspects of biomedical technology, Dr. Rady has made significant contributions to academia, research, and industry. Fluent in Arabic and English, she is well-versed in effectively communicating complex technical concepts while also excelling at multitasking and problem-solving. Dr. Rady’s work is characterized by her dedication to innovation and academic excellence, seeking to create lasting contributions in the field of Biomedical Engineering, IT, and Electrical Communication.

🎓 EARLY ACADEMIC PURSUITS

Dr. Radwa’s journey into the world of academia and technology began at Alexandria University, where she earned her Bachelor of Engineering in Communication. This foundational education allowed her to delve deeper into subjects such as digital signal processing and biomedical devices. She continued to build on this knowledge with her Master’s degree in Biomedical Devices, focusing on digital signal processing techniques to analyze respiratory wheeze sounds in children. Her early education laid the groundwork for her extensive research and innovations in biomedical engineering, solidifying her as a dedicated scholar and researcher in the field.

💼 PROFESSIONAL ENDEAVORS

Dr. Radwa Rady’s professional career is marked by diverse roles across academia, research, and software development. From her tenure as a Software Developer at VP .Net, where she contributed to significant projects for the Water and Wastewater Authority and Cataract Hospital, to her current role as Assistant Professor at Inaya Medical Colleges in Riyadh, she has continually sought to bridge the gap between theoretical knowledge and real-world applications. As an instructor, Dr. Rady has taught a wide range of subjects, including digital signal processing, biomedical engineering, and programming. Her leadership skills extend beyond the classroom as she serves on several faculty committees and supervises graduate students’ final projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Rady’s research focuses on the intersection of biomedical engineering, digital signal processing, and neurofeedback treatments. One of her primary research endeavors is her thesis on “Quantitative EEG and Neurofeedback Treatment,” which aims to improve attention skills in children with ADHD through real-time EEG analysis and neurofeedback. Her work also extends to the field of respiratory wheeze sound analysis, where she developed a system to assist physicians in diagnosing respiratory conditions in children using digital signal processing. These innovative projects demonstrate Dr. Rady’s commitment to advancing medical technology and improving patient outcomes.

🌍 IMPACT AND INFLUENCE

Dr. Rady has made a significant impact through her involvement in both teaching and research. As an academic, she not only imparts knowledge to her students but also actively contributes to the academic community through workshops and lectures on emotional intelligence and ethical considerations in AI research. Her research, including the published papers and patent application related to EEG analysis for ADHD treatment, demonstrates her ability to influence both academic discourse and practical applications in healthcare technology. Dr. Rady’s work is pushing the boundaries of medical engineering and continues to inspire new generations of researchers and students.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Radwa Rady’s contributions to academic research have been widely recognized in peer-reviewed journals. She has authored and co-authored several papers, including one published in the Alexandria Engineering Journal and another in Neural Computing and Applications. She also holds a patent for her work on real-time EEG signal analysis for ADHD treatment. Dr. Rady’s publications, which are accessible through DOI references, have garnered attention within both the biomedical engineering and computer science fields, reflecting the significance of her research contributions.

🏅 HONORS & AWARDS

Dr. Rady’s exceptional academic performance has been consistently recognized. She achieved a GPA of 3.888 in her Doctorate of Science in Engineering at Alexandria University and a GPA of 3.788 in her Master’s degree. Additionally, her research papers have been published in prestigious journals such as Elsevier and Springer. Her work has also led to the submission of a patent for her innovative EEG analysis application, further cementing her status as a leading researcher in biomedical engineering.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Rady’s work holds the potential for long-term impact, particularly in the field of healthcare technology. Through her development of neurofeedback applications and digital signal processing systems, she is helping to shape the future of treatment for neurological conditions like ADHD. As a leader in both academia and research, Dr. Rady aims to continue advancing these fields by fostering collaborations and encouraging innovation among her students and colleagues. Her continued research promises to bring about transformative changes in the integration of biomedical engineering and artificial intelligence in medical practices.

📝 FINAL NOTE

Dr. Radwa Rady’s journey in academia, research, and professional development stands as a testament to her dedication to improving the lives of others through technology and education. From her work on respiratory wheeze sound analysis to her groundbreaking EEG research for ADHD, Dr. Rady is committed to making a meaningful difference in the world of biomedical engineering. Her future endeavors promise to build on her solid foundation, leaving a lasting legacy for generations to come.

📚 TOP NOTES PUBLICATIONS

Enhancing affordable EEG to act as a quantitative EEG for inattention treatment using MATLAB
    • Authors: Radwa Magdy Rady, Doaa Elsalamawy, M. R. M. Rizk, Onsy Abdel Alim, Nancy Diaa Moussa

    • Journal: Neural Computing and Applications

    • Year: 2025

A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children
    • Authors: Rady, R.M.; Moussa, N.D.; El Salmawy, D.H.; M Rizk, M.R.; Alim, O.A.

    • Journal: Alexandria Engineering Journal

    • Year: 2022

Respiratory Wheeze Sound Analysis Using Digital Signal Processing Techniques
    • Authors: Rady, R.M.; Akkary, I.M.E.; Haroun, A.N.; Fasseh, N.A.E.; Azmy, M.M.

    • Journal: Proceedings – 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015

    • Year: 2015

Snehal Laddha | Medical Image Analysis | Best Researcher Award

Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

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INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

Dr. Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

 Iiitdm Kurnool | India

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INTRODUCTION

Dr. Mohamed Asan Basiri M. is an accomplished academician and researcher in the field of Electronics, Communication, and VLSI architectures. His career has been marked by a relentless pursuit of excellence in high-performance VLSI design, embedded systems, and digital signal processing. Dr. Asan’s significant contributions to the field are reflected in his extensive research, publications, and involvement in advanced training programs. His journey through academia has been an inspiring example of dedication to the advancement of knowledge and technology.

EARLY ACADEMIC PURSUITS 🎓

Dr. Asan’s academic journey began with his B.E. in Electronics and Communication Engineering, which he completed with distinction at Thanthai Periyar Government Institute of Technology, Vellore. He later pursued an M.E. in Embedded System Technologies at Anna University, Coimbatore, where he achieved an impressive 9.1 CGPA, also with distinction. His passion for research and further specialization in high-performance VLSI architectures led him to pursue a Ph.D. at the Indian Institute of Information Technology Design and Manufacturing, Kancheepuram, under the guidance of leading experts in the field. His doctoral thesis focused on the development of VLSI architectures for discrete transformations, which was awarded in 2016.

PROFESSIONAL ENDEAVORS 🧑‍💻

Dr. Asan has held several prestigious positions during his career, including Assistant Professor at the Department of Electronics and Communication Engineering at IIITDM Kurnool. He also served as a Post-Doctoral Fellow, Senior Project Engineer, and Research Associate at IIT Kanpur, contributing to the cutting-edge research in the fields of VLSI design and embedded systems. His experience spans various roles that have shaped his expertise and allowed him to mentor the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER ARCHITECTURE 🔬

Dr. Asan’s research focuses on high-performance VLSI architectures, FPGA implementations, image processing, and hardware design for embedded systems. His work on Wiener filters, histogram equalization, and instruction set architecture has been widely recognized in international conferences and journals. He has contributed significantly to the understanding of data parallelism, latency reduction, and computational efficiency in digital signal processing and image processing systems. His research aims to bridge the gap between theoretical algorithms and their practical implementations in hardware systems.

IMPACT AND INFLUENCE 🌍

Dr. Asan’s work has had a profound impact on the field of electronics and communication engineering, particularly in the design of VLSI systems and embedded architectures. His contributions have influenced both academic research and industry practices, driving advancements in embedded systems, digital signal processing, and VLSI design. He is regarded as an expert in his field, and his work continues to shape the direction of research in embedded systems and hardware architecture.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Asan’s research has been widely cited in leading journals and international conferences. His contributions include several papers on high-performance instruction set architectures, FPGA implementations of Wiener filters, and low-latency VLSI designs for image processing. These publications have established him as a leading authority in his field, and his work continues to inspire researchers and engineers worldwide. Some of his notable papers include:

  • “High Performance Instruction-Data Level Parallelism based Instruction Set Architecture in RISC-V”
  • “An Efficient FPGA Implementation of Wiener Filter”
  • “Low Latency VLSI Architecture of Histogram Equalization of Images”
  • “Flexible and High Throughput Designs of Operational Amplifiers”

HONORS & AWARDS 🏅

Dr. Asan’s work has been recognized through numerous accolades and awards. His academic achievements and research contributions have earned him respect and recognition from both academic institutions and industry professionals. He has been invited to present at major conferences and has received awards for his innovation in VLSI architectures and embedded systems design.

FINAL NOTE ✍️

Dr. Asan’s career is a testament to the power of dedication, innovation, and continuous learning. His contributions have left a lasting legacy in the fields of VLSI, embedded systems, and digital signal processing. As he continues to mentor young researchers and work on groundbreaking projects, his influence on the academic community and the tech industry is bound to grow.

LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT 🔮

Dr. Asan’s legacy lies in his ability to merge theoretical knowledge with practical application, and his research continues to shape the future of VLSI and embedded system design. He is poised to make even greater contributions in the years ahead, particularly in the fields of high-performance computing, embedded system technologies, and hardware acceleration. As a mentor, his influence on the next generation of engineers and researchers will continue to be felt for many years to come.

TOP NOTES PUBLICATIONS 📚

Title: Memory Based Multiplier Design in Custom and FPGA Implementation

Authors: MMA Basiri, SKN Mahammad
Journal: Advances in Intelligent Informatics
Year: 2015

Title: Efficient VLSI architectures of lifting based 3D discrete wavelet transform

Authors: MMA Basiri
Journal: IET Computers & Digital Techniques
Year: 2020

Title: Reconfigurable Hardware Design for Polynomial Galois Field Arithmetic Operations

Authors: H Inumarty
Journal: 2020 24th International Symposium on VLSI Design and Test (VDAT)
Year: 2020

Title: Asynchronous hardware implementations for crypto primitives

Authors: SK Shukla
Journal: Microprocessors and Microsystems
Year: 2019

Title: Efficient hardware-software codesigns of AES encryptor and RS-BCH encoder

Authors: MMA Mohamed Asan Basiri, SK Shukla
Journal: International Symposium on VLSI Design and Test
Year: 2018

Timo Björk |Mechanical & Civil Engineering | Best Researcher Award

Prof. Timo Björk | Mechanical & Civil Engineering | Best Researcher Award

Professor at Lahti University of Technology, Finland

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🌟 Academic Background

Timo Juhani Björk is a renowned Professor of Steel Structures at Lappeenranta-Lahti University of Technology (LUT), Finland. With a career spanning over three decades, his groundbreaking research and leadership in steel structures and welding have made significant contributions to the field. His expertise has been recognized through numerous awards and research projects.

🎓 Education

Timo Björk earned his Doctor of Science (Technology) in Steel Structures from Lappeenranta University of Technology (LUT), Finland, on December 30, 2005. He completed his Master of Science (Technology) in Steel Structures at LUT on September 24, 1980. Additionally, he achieved the International Welding Engineer (IWE) qualification from the Finnish Welding Society on March 10, 1995.

💼 Professional Experience

Timo Juhani Björk has a distinguished career in steel structures and engineering, marked by his current role as Professor of Steel Structures at Lappeenranta-Lahti University of Technology (LUT) since March 1, 2011. Prior to this, he served as Head of Steel Structures at LUT from 2008 to 2011, where he led significant research and development initiatives. His career at LUT began with roles as Project Manager (2000-2006), Project Coordinator (2006-2008), and Senior Design Engineer (1996-2000). Earlier in his career, Timo was a Senior Research Scientist (1986-1989) and Research Scientist (1983-1984) at LUT, where he contributed to pivotal research projects. He also gained valuable experience as a Design Engineer at Projekti-insinöörit Oy and fulfilled military service with the Finnish Air Forces from 1980-1981. His extensive experience underscores his leadership and expertise in steel structures and engineering.

🔬 Research Interests

Timo Juhani Björk’s research interests are deeply rooted in advancing the field of steel structures and welding technology. His work encompasses the mechanical performance of welded materials, focusing on innovations in aluminum and other metals. He is also dedicated to carbon-neutral ship structures, aiming to develop lightweight and sustainable designs. Timo explores fossil-free steels and their applications to enhance environmental sustainability. His research extends to fatigue analysis of components produced through additive manufacturing and the impact of hydrogen on steel structures. Additionally, he is involved in digital and real-time monitoring, working on cutting-edge methods for digital design, simulation, and fatigue monitoring systems. Timo’s research aims to address critical challenges in the steel industry and promote advancements in structural integrity and sustainability.

🏆 Key Achievements

Timo Juhani Björk has made significant contributions to the field of steel structures and welding through several key achievements. He developed innovative methods such as the AGIFAP element method, the 4R fatigue concept, and the ReFaMo fatigue monitoring system, which have greatly advanced the study of material performance and structural integrity. Timo’s scholarly impact is highlighted by his 124 peer-reviewed publications and an h-index of 23, reflecting his influential research. His work earned him the Welding in the World Best Paper Award 2022 for a groundbreaking study on weld root fatigue strength assessment. Additionally, he holds a granted patent for “A system and a method for monitoring material fatigue” (EP4018171, 2023) and an invention disclosure for the “Efficiency Index of mechanical systems” (2023). These accomplishments underscore his leadership and innovation in the field.

📖 Publication

On the out-of-plane buckling of RHS X-joints – Analytical and numerical approaches

    • Authors: Björk, T., Ahola, A., Kukkonen, O.
    • Journal: Journal of Constructional Steel Research
    • Year: 2024

Fatigue design of stress relief grooves to prevent weld root fatigue in butt-welded cast steel to ultra-high-strength steel joints

    • Authors: Havia, J., Lipiäinen, K., Ahola, A., Björk, T.
    • Journal: Welding in the World
    • Year: 2024

Manufacturing and mechanical performance of a large-scale stainless steel vessel fabricated by wire-arc direct energy deposition

    • Authors: Lipiäinen, K., Afkhami, S., Lund, H., Skriko, T., Björk, T.
    • Journal: Materials and Design
    • Year: 2024

Assessing local stresses in scanned fillet weld geometry using bagged decision trees

    • Authors: Rohani Raftar, H., Ghanadi, M., Hultgren, G., Barsoum, Z., Björk, T.
    • Journal: Journal of Constructional Steel Research
    • Year: 2024

Fatigue enhancement of welded thin-walled tubular joints made of lean duplex steel

    • Authors: Ahola, A., Savolainen, J., Brask, L., Björk, T.
    • Journal: Journal of Constructional Steel Research
    • Year: 2024

Comparison of analytical and numerical methods for estimating notch strains | Vergleich von analytischen und numerischen Verfahren zur Abschätzung von Kerbdehnungen

    • Authors: Yanchukovich, A., Ahola, A., Björk, T., Sonsino, C.M.
    • Journal: Materialwissenschaft und Werkstofftechnik
    • Year: 2024