Kyuwook Ihm | Emerging Technologies | Best Researcher Award

Dr. Kyuwook Ihm | Emerging Technologies | Best Researcher Award

Principal scientist at Pohang accelerator laboratory, South Korea 

Dr. Kyuwook Ihm is a prominent beamline scientist at the Pohang Accelerator Laboratory (PAL), where he leads the 4D Photoemission Spectroscopy (PES) beamline. His expertise lies in experimental condensed matter physics, with a specialized focus on low-dimensional materials, topological matter, and strongly correlated systems. Throughout his career, Dr. Ihm has consistently pushed the frontiers of soft X-ray spectroscopy and surface science through extensive work with PES, NEXAFS, XES, RIXS, and PEEM. He plays a vital role in the development of optical systems for soft X-ray beamlines and has also contributed significantly to beamline-related software engineering. Beyond his research at PAL, Dr. Ihm serves as an adjunct professor in the Physics Department at the University of Ulsan, further emphasizing his dedication to education and mentorship. He has actively contributed to various scientific communities through leadership roles, such as vice-president of the Korean Vacuum Society’s Surface and Interface Division and representative of the IUVSTA’s Surface Engineering Division. With his academic, technical, and organizational contributions, Dr. Ihm stands out as a multidisciplinary scientist whose research has been extensively published in top-tier journals. His efforts continue to enhance understanding in materials science and experimental physics on both national and international stages.

Professional Profiles

Education

Dr. Kyuwook Ihm received his Ph.D. in Physics from Pohang University of Science and Technology (POSTECH) in 2009, specializing in experimental condensed matter physics. His doctoral research, conducted under the mentorship of Professor Sukmin Chung, focused on the adsorption characteristics and thermodynamic behaviors of molecules with sp² hybrid orbitals on inorganic surfaces. This work laid a strong foundation for his future contributions to surface physics and spectroscopy. Prior to his doctoral studies, Dr. Ihm completed both his B.S. and M.S. degrees in Physics at Sung Kyun Kwan University in 2000, where he cultivated his early interest in surface science and material interactions. His academic journey reflects a deep and sustained engagement with complex physical systems and materials behavior at the atomic and molecular scale. These formative years equipped Dr. Ihm with the theoretical insight and experimental rigor needed to pursue a successful career in both academic and applied research. His educational background has not only shaped his research focus but also prepared him to contribute significantly to the scientific community, including his current role as a mentor and educator. The strong academic lineage and interdisciplinary training continue to inform his innovative work in spectroscopy and material science.

Professional Experience

Dr. Kyuwook Ihm has cultivated an illustrious career that spans over two decades, centered at the forefront of experimental condensed matter physics. Since 2001, he has served as the chief scientist at the 4D PES beamline of the Pohang Accelerator Laboratory, where he is responsible for overseeing beamline design, experimental implementation, and user support. In parallel, he has held an adjunct professorship at the University of Ulsan since 2021, further showcasing his commitment to education and research mentorship. Dr. Ihm’s professional leadership extends beyond the laboratory; he has been vice-president of the Surface and Interface Division of the Korean Vacuum Society since 2020 and a representative of the Surface Engineering Division of the International Union for Vacuum Science, Technique and Applications (IUVSTA) since 2022. His influence also reaches national scientific policy, as a member of PAL’s Planning Committee and an evaluator for Korea’s Ministry of SMEs and Startups. He has collaborated globally, serving as a visiting scholar at the Advanced Light Source (LBNL) from 2016–2017 and as a visiting scientist at Elettra in Italy in 2003. Earlier in his career, he worked on transistor simulations at Samsung Electronics, gaining valuable industrial experience that complements his academic pursuits.

Research Interest

Dr. Ihm’s research interests span a rich tapestry of scientific themes at the intersection of physics, chemistry, and engineering. He is deeply invested in understanding the physics and chemistry of condensed matter, with a specific emphasis on low-dimensional materials, topological matter, and strongly correlated systems. His curiosity extends into the transport properties of charge carriers, especially within organic functional materials where quantum chemical effects significantly influence performance. Dr. Ihm is particularly fascinated by how molecular and electronic structures affect material behavior under different conditions. On the experimental front, he specializes in soft X-ray spectroscopy techniques such as Photoemission Spectroscopy (PES), Near-Edge X-ray Absorption Fine Structure (NEXAFS), X-ray Emission Spectroscopy (XES), and Resonant Inelastic X-ray Scattering (RIXS). Additionally, he works extensively with Photoemission Electron Microscopy (PEEM) to investigate surface properties at high spatial resolution. His beamline development efforts at PAL underscore his interest in advancing optics for soft X-ray applications, as well as in engineering custom software for experimental data analysis and control. Altogether, Dr. Ihm’s interdisciplinary approach integrates fundamental theory with practical experimentation, bridging the gap between materials science and applied physics to generate new knowledge and technological innovation.

Research Skills

Dr. Kyuwook Ihm possesses an extensive skill set rooted in experimental condensed matter physics, with expertise that encompasses both foundational theory and sophisticated laboratory techniques. A cornerstone of his capabilities lies in soft X-ray spectroscopy, where he expertly applies methods such as PES, NEXAFS, XES, and RIXS to explore electronic and chemical structures of materials. His proficiency with Photoemission Electron Microscopy (PEEM) allows him to obtain spatially resolved surface data, adding further depth to his material investigations. Beyond experimental execution, Dr. Ihm is an accomplished optics designer, particularly for soft X-ray beamline systems, where he integrates precision engineering with theoretical modeling. His experience includes the conceptualization and realization of high-performance beamlines, such as the 4D PES beamline at PAL. He also demonstrates robust software development skills, focusing on control systems and data processing tools tailored for beamline experiments. These software tools enhance experimental reproducibility and accuracy, a testament to his attention to detail and innovative thinking. Dr. Ihm’s interdisciplinary training allows him to collaborate seamlessly with chemists, engineers, and theorists, making him a pivotal contributor to complex research teams. His ability to connect experimental insights with real-world applications defines him as a versatile and forward-thinking scientist.

Awards and Honors

Over the course of his distinguished career, Dr. Kyuwook Ihm has been honored with numerous accolades and professional appointments that reflect his outstanding contributions to science and technology. He has been a fellow of both the Korean Physical Society and the Korean Vacuum Society since 2015, affirming his standing as a leading expert in his field. As vice-president of the Surface and Interface Division of the Korean Vacuum Society, he plays a central role in guiding national research agendas related to surface science. His recognition on the international stage is highlighted by his role as the representative of the Surface Engineering Division within IUVSTA, where he contributes to shaping global strategies in vacuum and surface technologies. Dr. Ihm’s strategic influence extends to institutional leadership, as evidenced by his appointment to the Planning Committee of the Pohang Accelerator Laboratory, where he has served since 2018. His evaluative expertise is also called upon by Korea’s Ministry of SMEs and Startups, where he has helped assess research proposals since 2015. These prestigious appointments and honors not only celebrate his individual excellence but also illustrate the broad impact of his work across academic, governmental, and international scientific domains.

Conclusion

Dr. Kyuwook Ihm’s career is a compelling example of how deep scientific inquiry, technical mastery, and interdisciplinary collaboration can converge to produce meaningful advancements in experimental physics and materials science. From his early academic work in surface physics to his current leadership at the 4D PES beamline at PAL, he has consistently demonstrated a commitment to pushing the boundaries of what is experimentally possible. His expertise in soft X-ray spectroscopy and photoemission methods has contributed valuable insights into the electronic and structural properties of novel materials, with applications spanning energy storage, catalysis, and semiconductor technology. Beyond research, Dr. Ihm is a dedicated mentor, educator, and scientific leader, influencing both policy and practice within Korea’s scientific community and beyond. His dual engagement in academic and industrial settings equips him with a rare versatility, making him an effective collaborator across sectors. Through roles in international scientific organizations and national evaluation committees, he actively shapes the future of experimental science and technological innovation. As he continues to contribute cutting-edge research and guide the development of next-generation beamline infrastructure, Dr. Ihm remains a vital force in advancing the frontiers of materials science and applied physics.

 Publications Top Notes

1. Theoretical and Experimental Optimization of P2-Type Sodium-Ion Battery Cathodes via Li, Mg, and Ni Co-Doping: A Path to Enhanced Capacity and Stability

  • Authors: M. Cho, N. Yaqoob, J. Yu, … P. Kaghazchi, S.-T. Myung

  • Year: 2025

  • Citations: 3

2. Interfacial contact-driven enhanced environmental photocatalysis of CdS-loaded OH-functionalized carbon nanotubes with low biotoxicity

  • Authors: H. Ju, D. T.H. Hoang, W.-S. Jang, … Y.-M. Kim, H. Lee

  • Year: 2025

3. Enhancing structural flexibility in P2-type Ni-Mn-based Na-layered cathodes for high power-capability and fast charging/discharging performance

  • Authors: B. Ku, J. Ahn, H. Lee, … J. Yoo, J. Kim

  • Year: 2025

4. Correction to: Impact of Transition Metal Layer Vacancy on the Structure and Performance of P2 Type Layered Sodium Cathode Material

  • Authors: O.Y. Zhanadilov, S. Baiju, N.V. Voronina, … P. Kaghazchi, S.-T. Myung

  • Year: 2024

5. Impact of Transition Metal Layer Vacancy on the Structure and Performance of P2 Type Layered Sodium Cathode Material

  • Authors: O.Y. Zhanadilov, S. Baiju, N.V. Voronina, … P. Kaghazchi, S.-T. Myung

  • Year: 2024

  • Citations: 5

6. Origin of Oxidation Variations in Ambient-Stable β-InSe

  • Authors: E. Sim, D. Kim, T.H. Nguyen, … S. Lim, K. Ihm

  • Year: 2024

7. Multi-Purpose Improvements in Catalytic Activity for Li-Ion Deposited TiO2, SnO2, and CeO2 Nanoparticles through Oxygen-Vacancy Control

  • Authors: D.T. Hoang, D. Lim, M.J. Kang, … H.S. Ahn, H. Lee

  • Year: 2024

  • Citations: 2

8. Migration of Mg in Na-O-Mg Configuration for Oxygen Redox of Sodium Cathode

  • Authors: J. Yu, N.V. Voronina, N. Yaqoob, … P. Kaghazchi, S.-T. Myung

  • Year: 2024

  • Citations: 9

9. Achieving volatile potassium promoted ammonia synthesis via mechanochemistry

  • Authors: J. Kim, T. Dai, M. Yang, … Q. Jiang, J.-B. Baek

  • Year: 2023

  • Citations: 18

 

Sara Migliorini | Innovation Impact | Best Researcher Award

Dr. Sara Migliorini | Innovation Impact | Best Researcher Award

Assistant Professor From University of Verona, Italy

Sara Migliorini is an accomplished academic and researcher specializing in data management, artificial intelligence (AI), and blockchain technology. Since 2019, she has served as an Assistant Professor in the Department of Computer Science at the University of Verona. Her expertise lies in processing and analyzing large datasets for predictive modeling and developing recommendation systems, with a strong focus on the tourism and agrifood sectors. Migliorini is also deeply involved in exploring the potential of blockchain technology in information systems and IoT devices. She has significantly contributed to numerous scientific projects, serving as both a team member and principal investigator. Notably, she leads the PNRR iNEST Spoke 7 smart-agrifood project, focusing on data traceability through blockchain integration and analysis. Her prolific academic output includes 31 scientific articles published in international journals, 50 conference papers, and three monograph chapters. Beyond her research, Migliorini plays a vital role in coordinating and directing research grants at the University of Verona. Her dedication to technological innovation and practical application of advanced data analysis techniques makes her a prominent figure in the fields of AI, data science, and blockchain, driving impactful research with practical industry relevance.

Professional Profiles

 Education 

Sara Migliorini holds a distinguished academic background in computer science, underpinned by her specialized expertise in data management, artificial intelligence, and blockchain technology. She completed her Ph.D. in Computer Science from a reputed institution, where her research focused on large-scale data processing and predictive modeling. During her doctoral studies, she honed her skills in data analytics, machine learning, and recommendation systems, laying the foundation for her future academic and professional pursuits. Prior to her doctoral degree, Migliorini earned her Master’s and Bachelor’s degrees in Computer Science, both with honors, demonstrating her exceptional academic performance and analytical abilities. Throughout her academic journey, she actively participated in collaborative research projects, contributing to publications and conferences. Her strong educational foundation has equipped her with the technical proficiency and theoretical knowledge essential for her research endeavors. Her continuous engagement with advanced technological fields, particularly in the domains of data integration, AI, and blockchain, reflects her commitment to lifelong learning and innovation. This academic trajectory has not only shaped her expertise but also positioned her as a leading figure in computer science research, inspiring her students and peers with her technical depth and scholarly contributions.

 Professional Experience 

Sara Migliorini has built an extensive professional career characterized by her expertise in data science, artificial intelligence, and blockchain applications. Since 2019, she has been an Assistant Professor at the Department of Computer Science at the University of Verona. In this role, she has been actively engaged in both teaching and research, mentoring students while leading and contributing to various scientific projects. Her research portfolio spans predictive data analysis, recommendation systems, and AI-driven solutions tailored to the tourism and agrifood sectors. Additionally, Migliorini has played a key role in exploring blockchain’s potential for enhancing data traceability in IoT and information systems.

Beyond her teaching responsibilities, she has collaborated on numerous scientific grants, often serving as the principal investigator. She has successfully coordinated over ten research grants at the University of Verona, overseeing projects related to data integration and AI applications. Currently, she leads the PNRR iNEST Spoke 7 smart-agrifood project, where she spearheads blockchain-based data traceability initiatives. Her professional career is marked by a commitment to technological advancement and applied research, making her a prominent figure in the field of computer science. Her expertise continues to drive innovation, bridging the gap between academic research and real-world technological applications.

 Research Interest 

Sara Migliorini’s research interests revolve around data science, artificial intelligence, and blockchain technology, with a strong focus on their practical applications in various industries. Her primary area of expertise lies in the management, processing, and analysis of large datasets for predictive modeling and the development of recommendation systems. She is particularly interested in applying AI-driven analytics to the tourism and agrifood sectors, where data insights can enhance decision-making and operational efficiency.

Migliorini is also deeply involved in blockchain technology, specifically investigating its integration into information systems and IoT devices. Her work in this area focuses on enhancing data traceability, security, and reliability, which are crucial for applications in agrifood supply chains and smart systems. She is particularly intrigued by the convergence of AI and blockchain, exploring how these technologies can be combined to create transparent, secure, and efficient data ecosystems.

Her ongoing research in the PNRR iNEST Spoke 7 smart-agrifood project exemplifies her commitment to applying blockchain technology for large-scale data traceability. With a forward-thinking approach, she continues to explore emerging technologies, contributing to innovative solutions that address real-world challenges through advanced data analysis and secure technology frameworks.

 Research Skills 

Sara Migliorini possesses a robust skill set in data science, artificial intelligence, and blockchain technology. She is highly proficient in data processing, predictive analytics, and the development of recommendation systems, making her a key contributor to advanced data-driven projects. Her expertise includes applying machine learning algorithms and AI models to extract insights from large datasets, particularly for predictive and prescriptive analytics in the tourism and agrifood sectors.

In addition to her data analysis capabilities, Migliorini is skilled in blockchain technology, with expertise in integrating it into information systems and IoT platforms. She specializes in designing and implementing blockchain-based solutions for data traceability, ensuring transparency and security in data management. Her technical skills also extend to programming languages such as Python and R, as well as data visualization tools, enabling her to develop and present complex data models effectively.

Her proficiency in grant writing, project management, and team coordination has allowed her to lead multiple research grants successfully. With strong analytical skills, a problem-solving mindset, and a forward-looking approach to technology, Migliorini continues to expand her skill set, making significant contributions to the fields of AI, data science, and blockchain innovation.

 Awards and Honors

Sara Migliorini’s outstanding contributions to data science, artificial intelligence, and blockchain technology have earned her numerous awards and honors. As a leading researcher in the field, she has been recognized for her innovative work on data processing and predictive analytics. She has received prestigious research grants and funding from the University of Verona, where she serves as the scientific director for multiple projects. Her role in coordinating and leading over ten research grants highlights her expertise and dedication to advancing technology-driven solutions.

In addition to her grant leadership, Migliorini’s impactful research has been acknowledged through various accolades in academic conferences and symposiums. Her scientific publications, including 31 journal articles, 50 conference papers, and three monograph chapters, have garnered significant recognition, cementing her reputation in the academic community.

Her involvement in the PNRR iNEST Spoke 7 smart-agrifood project, where she leads the blockchain data traceability research, has further enhanced her standing as an influential figure in the field. Migliorini’s commitment to research excellence, combined with her innovative contributions, continues to earn her well-deserved honors, positioning her as a prominent and respected academic in data science and emerging technologies.

Conclusion 

Sara Migliorini is a distinguished academic and researcher whose expertise in data science, artificial intelligence, and blockchain technology has made a significant impact in both academia and industry. As an Assistant Professor at the University of Verona, she has demonstrated exceptional leadership by spearheading multiple scientific projects, mentoring students, and publishing extensively. Her contributions to data processing, predictive analytics, and blockchain traceability highlight her ability to apply advanced technologies to solve real-world problems, particularly in the tourism and agrifood sectors.

Her innovative research skills, coupled with her proficiency in AI, data science, and blockchain applications, have earned her recognition in the academic community. Through her work on the PNRR iNEST Spoke 7 smart-agrifood project, she continues to drive technological advancements, promoting transparency and efficiency in data management.

Migliorini’s dedication to technological innovation, academic excellence, and real-world application of cutting-edge research makes her a leading figure in her field. Her continued efforts to bridge the gap between theoretical research and practical solutions solidify her reputation as a visionary academic, committed to advancing technology for the benefit of society.

 Publications Top Notes

  1. Enhancing Business Process Models with Ethical Considerations

    • Authors: B. Amico, Beatrice; C.K. Combi, Carlo K.; A. Dalla Vecchia, Anna; B. Oliboni, Barbara; E. Quintarelli, Elisa

  2. Augmentation Techniques for Balancing Spatial Datasets in Machine and Deep Learning Applications

    • Authors: A. Belussi, Alberto; D. Garofolo, Diego; S. Migliorini, Sara

  3. A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings

    • Authors: A. Belussi, Alberto; S. Migliorini, Sara; A. Eldawy, Ahmed

    • Year: 2024

    • Citations: 2

  4. A Survey on Data Availability in Layer 2 Blockchain Rollups: Open Challenges and Future Improvements

    • Authors: M.B. Saif, Muhammad Bin; S. Migliorini, Sara; F. Spoto, Fausto

    • Year: Not specified

    • Citations: 3

  5. Promoting Sustainable Tourism by Recommending Sequences of Attractions with Deep Reinforcement Learning

    • Authors: A. Dalla Vecchia, Anna; S. Migliorini, Sara; E. Quintarelli, Elisa; M. Gambini, Mauro; A. Belussi, Alberto

    • Year: 2024

    • Citations: 3

  6. A Learning-Based Framework for Spatial Join Processing: Estimation, Optimization, and Tuning

    • Authors: T. Vu, Tin; A. Belussi, Alberto; S. Migliorini, Sara; A. Eldawy, Ahmed

    • Year: 2024

    • Citations: 2

  7. Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain

    • Authors: M.B. Saif, Muhammad Bin; S. Migliorini, Sara; F. Spoto, Fausto

    • Year: 2024

    • Citations: 6

  8. Blockchain-Based Multirole Authentication and Authorization in Smart Contracts with a Hierarchical Factory Pattern

    • Authors: M.B. Saif, Muhammad Bin; S. Migliorini, Sara; F. Spoto, Fausto