Sabum Jung | Smart factory | Best Researcher Award

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Mr. Sabum Jung | Smart factory | Best Researcher Award

Research engineer, Lg energy solution,South Korea

Sabum Jung is a seasoned Data Scientist and Machine Learning Engineer with over 23 years of expertise in predictive modeling, deep learning, and AI-driven optimization. His career spans LG Energy Solution, SK Holdings, and LG Production Engineering Research Institute, where he pioneered AI applications in high-tech manufacturing, including semiconductor, battery, and display industries. A former Military Intelligence Analyst for the U.S. Army, he has authored research papers and books on AI, machine learning, and Industry 4.0. Fluent in English, Korean, and Japanese, he continues to drive AI innovations in industrial applications.

Profile

🎓 Education

Sabum Jung holds a B.A. (3.9/4.5) and an M.S. (4.2/4.5) in Industrial Engineering from Sung Kyun Kwan University, South Korea. His academic journey focused on advanced analytics, AI-driven optimization, and industrial process improvements. His research contributions in artificial intelligence, reliability engineering, and digital transformation have shaped his expertise in machine learning, deep learning, and predictive modeling, positioning him as a leader in AI applications for manufacturing and industrial systems.

💼 Experience

Currently a Data Scientist at LG Energy Solution, Sabum Jung leads AI-driven innovations in virtual metrology, predictive maintenance, and defect analysis. Previously at SK Holdings, he optimized renewable energy predictions, semiconductor material discovery, and AI-powered industrial operations. His 20-year tenure at LG Production Engineering Research Institute saw groundbreaking work in machine learning for smart appliances, battery systems, and industrial automation. His early career as a Military Intelligence Analyst in the U.S. Army honed his analytical prowess, setting the foundation for his AI-driven problem-solving approach.

🏆 Awards & Honors

Sabum Jung has been recognized for his contributions to AI, machine learning, and industrial automation. His accolades include leadership in AI-driven manufacturing optimization, predictive maintenance, and reinforcement learning applications. He has received industry recognition for his research and innovation in deep learning, active learning, and process optimization in high-tech sectors, further cementing his influence in AI-driven industrial advancements.

🔬 Research Focus:

Sabum Jung specializes in AI applications for high-tech manufacturing, focusing on predictive maintenance, virtual metrology, and defect detection. His research spans deep learning, reinforcement learning, and AI-driven industrial process optimization. Notable contributions include renewable energy prediction, semiconductor material discovery, and advanced statistical modeling. His expertise in machine learning has been instrumental in developing AI solutions for smart manufacturing, Industry 4.0, and digital transformation.

Publications

Recent progress of LG PDP: High efficiency & productivity technologies Citations1

Conclusion

Sabum Jung is a strong candidate for the Best Researcher Award, given his vast industry experience, research excellence, and technological contributions to AI and machine learning in manufacturing. Enhancing academic collaborations and increasing research dissemination could further elevate his impact and recognition.

Jianzhi Li | Fiber sensing | Best Researcher Award

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Prof. Jianzhi Li | Fiber sensing | Best Researcher Award

 professor at Shijiazhuang Tiedao University,  china

Jianzhi Li is a Professor at the Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, specializing in fiber sensing technology and structural health monitoring. 🌉 She earned her Ph.D. from Beijing Jiaotong University and later held an academic post at Osaka University, Japan. 🚄 Her work focuses on enhancing railway infrastructure safety through innovative sensing techniques. 📚 Jianzhi has published numerous SCI papers and authored several books. 🚀 Her groundbreaking contributions in the field have earned her multiple awards, cementing her status as a leading researcher in fiber optics and structural health.

Publication Profile

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Education 🎓

Jianzhi Li earned her Ph.D. in Structural Diagnosis and Optimization from Beijing Jiaotong University in 2009. 📚 Her doctoral studies focused on identifying and solving complex structural challenges in engineering. 🌏 She further broadened her academic horizons by serving as an Associate Professor at Osaka University in Japan between 2014 and 2015. 🏛️ This role allowed her to collaborate internationally and enhance her expertise in fiber optic sensing technology. ✨ Throughout her education, she gained deep insights into the intersections of structural health and smart material technologies, which now form the cornerstone of her research endeavors.

Experience 🏢 

Jianzhi Li currently serves as a Professor at Shijiazhuang Tiedao University’s Key Laboratory of Structural Health Monitoring and Control. 🚇 She has led several high-impact projects, particularly in fiber optic sensing and structural health monitoring for railways and bridges. 🌉 During 2014–2015, she was an Associate Professor at Osaka University, contributing to international collaborations. 📊 With over 20 patents to her name and numerous published works in prestigious journals, her experience spans industry-relevant research and cutting-edge academic advancements. 💼 She also leads the China National Key Research and Development Program, contributing to the enhancement of railway infrastructure safety.

Awards and Honors  🏆

Jianzhi Li has received numerous awards, including the First Prize for Technological Invention in Hebei Province. 🌟 She was recognized with the “Best Paper” award at the 6th International Conference on Optoelectronic Sensing. 🎖️ Her outstanding research contributions have earned her prestigious honors such as the Hebei Outstanding Youth Talent Award and a place in the Hebei 333 Talent Program. 📜 She has authored three books, including an internationally recognized English-language textbook, and her innovative work in fiber sensing and structural health has placed her among the top researchers in China. 🌍 Her membership in the Chinese Optical Society and other professional groups reflects her impact on the scientific community.

Research Focus🔬

Jianzhi Li’s research is centered on fiber optic sensing technologies and structural health monitoring. 🚇 Her work addresses critical infrastructure challenges, including heavy-duty railway bridges and roadbeds. 🔧 She has been instrumental in advancing fiber-based sensing systems for monitoring railway hazards and enhancing safety through predictive detection. 🛰️ Her research extends to smart materials and their applications in dynamic environments, focusing on the early detection of structural anomalies. 🚀 Jianzhi’s contributions are practical and forward-looking, pushing the boundaries of electromagnetic and optical sensing in engineering, leading to the development of more robust and resilient civil structures.

Publication  Top Notes

Evaluation of Concrete Carbonation Based on a Fiber Bragg Grating Sensor
📅 Published: December 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi15010029
Contributors: Jianzhi Li, Haiqun Yang, Handong Wu

This paper introduces a novel approach for monitoring concrete carbonation using Fiber Bragg Grating (FBG) sensors, a crucial method for assessing structural durability.

A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable
📅 Published: March 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi14040799
Contributors: Jianzhi Li, Chen Wang, Yiyao Zhao

This research presents a long-term monitoring technique for detecting corrosion in prestressed anchor cables, improving infrastructure safety and longevity.

A Combined Positioning Method Used for Identification of Concrete Cracks
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121479
Contributors: Jianzhi Li, Bohao Shen, Junjie Wang

This paper discusses a hybrid method for accurately identifying concrete cracks, advancing structural health monitoring.

A Spiral Distributed Monitoring Method for Steel Rebar Corrosion
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121451
Contributors: Jianzhi Li, Yiyao Zhao, Junjie Wang

Conclusion

Professor Jianzhi Li stands out as a strong candidate for the Best Researcher Award due to her exemplary research contributions, innovative spirit, and recognized leadership in the field of fiber sensing and structural health monitoring. Her achievements reflect not only her commitment to advancing science and technology but also her potential to further influence the field. With targeted improvements in professional engagement and industry collaboration, she could amplify her impact even more.

Prof. Cheong Hoon Kwon | Nanobio Sensors | Best Researcher Award

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Prof. Cheong Hoon Kwon | Nanobio Sensors | Best Researcher Award

Dr. Sankarganesh, Kangwon National University, South Korea

Prof. Cheong Hoon Kwon is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Scopus

Orcid

Education 📚

Korea University (2004-2008)

Degree: Ph.D. in Chemical and Biological EngineeringGPA: 4.36/4.50Thesis Title: “Molecular Modeling and Experimental Study of Enzymatic Reaction using CALB in Supercritical Carbon Dioxide”Advisor: Professor Jeong Won KangKorea University (2001-2004)

Degree: M.S. in Chemical and Biological EngineeringGPA: 4.22/4.50Thesis Title: “Experimental Measurements and Predictions of Excess Enthalpies for Binary Mixtures of N-Alkane+1-Alkanol Systems”Advisor: Professor Chul Soo LeeGachon University, Seongnam City, Korea (1997-2001)

Degree: B.S. in Chemical EngineeringGPA: 4.13/4.50

Research Interests 🔬

Electrochemical Devices for Energy Generation and StorageInterfacial Design of Electrochemical Electrodes Using EnzymeNano/Bio Functional Materials and Surface ModificationEnvironmental Actuators and SensorsThermodynamics and Molecular Modeling (QM/MM) of Chemical Reactions

Research Experience 🧪

Research Professor, Department of Chemical and Biological Engineering, Korea University (2016-present)Research Professor, National Creative Research Initiative Center for Bio-Artificial Muscle, Department of Biomedical Engineering, Hanyang University (2010-2015)Postdoctoral Research Fellow, Department of Medicine, Harvard Medical School (HMS), Cambridge, MA, USA (2009-2010)Advisor: Prof. Ali Khademhosseini, Ph.D.Institute of Clean Chemical Engineering Systems, Seoul, Korea (2004-2008)

Teaching Experience 👨‍🏫

Lecturer, Department of Biomedical Engineering, Hanyang University, Seoul, Korea (2013-2014)Courses Taught: Bioenergy EngineeringAdjunct Professor, Department of Nano-Chemical Engineering, Soonchunhyang University, Asan, Chungnam, Korea (2008)Courses Taught: Engineering Mathematics, Thermodynamics, Heat and Mass Transport, Transport PhenomenaLecturer, Department of Nano-Chemical Engineering, Soonchunhyang University, Asan, Chungnam, Korea (2007)Courses Taught: Physical Chemistry, Basic Principles and Calculations in Chemical Engineering, ThermodynamicsTeacher-Assistant, Korea University, Seoul, Korea (2001-2006)Courses Assisted: Thermodynamics, Separation Process, Engineering Mathematics

 

📖 Publications Top Note :

Highly efficient water-splitting electrodes with stable operation at 3 A cm−2 in alkaline media through molecular linker assembly-induced all-in-one structured NiMo and NiFe electrocatalysts

Authors: Son, Y., Mo, J., Yong, E., Kim, M., Cho, J.

Journal: Applied Catalysis B: Environmental, 2024, 343, 123563

Experimental investigation on acceleration of working fluid of heat pipe under bypass line operation

Authors: Kwon, C.H., Kwon, H.S., Oh, H.U., Jung, E.G.

Journal: Case Studies in Thermal Engineering, 2024, 53, 103742

A Mediator-Free Multi-Ply Biofuel Cell Using an Interfacial Assembly between Hydrophilic Enzymes and Hydrophobic Conductive Oxide Nanoparticles with Pointed Apexes

Authors: Kang, M., Nam, D., Ahn, J., Kwon, C.H., Cho, J.

Journal: Advanced Materials, 2023, 35(51), 2304986

An experimental investigation on the influence of condenser bypass area for the transient and steady-state heat-transfer performance of heat pipes

Authors: Kwon, C.H., Kwon, H.S., Jung, E.G.

Journal: International Communications in Heat and Mass Transfer, 2023, 148, 107057

Influence of condenser bypass port area on maximum thermal load of heat pipe

Authors: Kwon, C.H., Jin, G.C., Kim, J.H., Jeong, J.H., Jung, E.G.

Journal: International Communications in Heat and Mass Transfer, 2023, 148, 107006

Carbon Nanocluster-Mediated Nanoblending Assembly for Binder-Free Energy Storage Electrodes with High Capacities and Enhanced Charge Transfer Kinetics

Authors: Song, Y., Bae, W., Ahn, J., Ko, Y., Cho, J.

Journal: Advanced Science, 2023, 10(22), 2301248

All-in-one structured textile energy storage electrodes prepared via Janus bond assembly-induced electrodeposition

Authors: Lee, S., Ko, Y., Chang, W., Yeom, B., Cho, J.

Journal: Chemical Engineering Journal, 2023, 454, 140150

Overshoot temperature control on evaporator wall of loop heat pipe for space vehicle thermal control through bypass line under high thermal load

Authors: Hoon Kwon, C., Guk Jung, E.

Journal: Applied Thermal Engineering, 2023, 219, 119446

Heat Transfer Performance Analysis and Simulation of Heat Pipe Heat Exchanger | 히트파이프 열교환기의 열전달 성능해석 및 모사

Authors: Kwon, H.S., Kwon, C.H., Jung, E.G.

Journal: Transactions of the Korean Society of Mechanical Engineers, B, 2023, 47(11), pp. 595–605

Redox-active ligand-mediated assembly for high-performance transition metal oxide nanoparticle-based pseudocapacitors

Authors: Ahn, J., Song, Y., Kim, Y.J., Lee, S.J., Cho, J.

Journal: Chemical Engineering Journal, 2023, 455, 140742

 

Dr James Brasic | Structural Health Monitoring | Best Researcher Award

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Dr James Brasic | Structural Health Monitoring | Best Researcher Award

Dr James Brasic, Johns Hopkins University School of Medicine, United States

Dr. James Brasic is a renowned figure in the field of psychiatry and neurology. He is affiliated with the Johns Hopkins University School of Medicine, where he has contributed significantly to research and clinical practice. Dr. Brasic’s expertise lies in the intersection of psychiatry, neurology, and imaging sciences, particularly in the areas of neurodegenerative disorders and addiction. His work has been instrumental in advancing our understanding of the brain’s mechanisms in these complex conditions, leading to improved diagnostic and treatment approaches. Dr. Brasic is widely respected for his comprehensive approach to patient care, integrating cutting-edge research findings with compassionate clinical practice. His dedication to advancing the field of psychiatry and neurology has made him a respected leader and mentor in his field.

 

Professional Profiles:

 

Education:

Dr. James Brasic is a highly accomplished individual with a diverse educational background spanning multiple disciplines. He earned his Bachelor of Arts cum laude in Medical Science from Boston University, followed by a Doctor of Medicine in Medicine from the same institution. Dr. Brasic then pursued his passion for music, obtaining a Master of Arts in Music (composition) from Washington University in St. Louis, MO. His academic journey continued with a Master of Public Health in Sociomedical Sciences and a Master of Science in Biostatistics, both from Columbia University in New York, NY. Dr. Brasic further honed his expertise with a Master of Arts in Statistics, also from Columbia University. His dedication to learning led him to pursue post-baccalaureate study in Mathematics at New York University. Dr. Brasic has also engaged in professional development, completing training in Advanced Grant Writing through the Radiological Society of North America and the Mid-Atlantic Region NSF I-Corps Hub through Johns Hopkins Technology Ventures. This diverse educational and training background speaks to Dr. Brasic’s deep commitment to academic excellence and interdisciplinary knowledge.

Postdoctoral Training:

Dr. James Brasic has an extensive and varied professional background in the medical field, with a focus on neurology, psychiatry, and radiology. He began his career as a Straight Medicine Intern in Internal Medicine at the University of Alabama Hospital in Birmingham, AL, followed by residencies in Neurology at the Los Angeles County+University of Southern California Medical Center in Los Angeles, CA, and Psychiatry at Barnes-Jewish Hospital in St. Louis, MO. Dr. Brasic further specialized in Child Psychiatry with a residency at New York-Presbyterian/Columbia University Irving Medical Center in New York, NY. Throughout his career, he has held positions as a Faculty Research Fellow in Psychiatry/Clinical Developmental Neurobiology at Mount Sinai Hospital and New York University Langone Health in New York, NY. Dr. Brasic’s expertise also extends to Radiology and Radiological Science/Nuclear Medicine and Molecular Imaging, where he served as a Clinical and Research Fellow at Johns Hopkins University School of Medicine in Baltimore, MD, from 1999 to 2007. This rich and diverse professional experience underscores Dr. Brasic’s dedication to advancing medical knowledge and his commitment to providing comprehensive care in multiple specialties.

Teaching Activities:

Dr. James Brasic’s dedication to education and teaching is evident throughout his career, where he has played a significant role in shaping the knowledge and skills of medical students, fellows, and researchers. His teaching experience spans various prestigious institutions and covers a wide range of topics, including medical school curriculum, neuropsychiatric evaluation, and brain positron emission tomography research. Dr. Brasic has been involved in teaching at the Boonshoft School of Medicine, the Developmental Neurobiology Unit at NYCHH/Bellevue and New York University Langone Health, New York-Presbyterian/Columbia University Irving Medical Center, and Johns Hopkins University School of Medicine. His commitment to education extends beyond traditional classroom settings, as seen in his mentorship of projects such as wearable sensors for diagnosing Parkinson’s disease at Johns Hopkins University School of Medicine. Dr. Brasic’s passion for teaching and research has made a lasting impact on the next generation of medical professionals and underscores his status as a respected educator in his field.

Award and Honor:

Dr. James Brasic’s exceptional academic and professional achievements reflect his commitment to excellence and leadership in multiple fields. He completed an Honors Accelerated Six-Year Program in Liberal Arts and Medical Education at Boston University, where he also earned his A.B. cum laude from the College of Arts and Sciences. Throughout his career, he has received numerous awards and recognitions, including the Phi Delta Epsilon Scholarship Loan from Boston University School of Medicine and Faculty Recognition Awards for superior teaching performance in psychiatry from the Department of Psychiatry at Wright State University School of Medicine. Dr. Brasic’s commitment to leadership and diversity is evident in his participation in the Junior Faculty Leadership Program Cohort #3 at Johns Hopkins University School of Medicine and his receipt of the Johns Hopkins Diversity Recognition Award. His contributions extend beyond academia, as seen in his achievements in the arts, including awards for filmmaking and recognition from the Missouri State Council of the Arts and the Music Performance Trust Fund. Dr. Brasic’s dedication to scholarship and professional development is further highlighted by his accolades from prestigious organizations such as the American Academy of Child and Adolescent Psychiatry, the Society of Nuclear Medicine, and Toastmasters International. His ongoing commitment to excellence is demonstrated by his recent Best Paper Award at the International Electronic Conference on Clinical Medicine and his membership in Sigma Xi from 2023 to 2028, showcasing his continuous pursuit of knowledge and achievement.

Publications Top Notes:

  • Istaroxime for Patients with Acute Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

    Corrigendum to “Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease” [MethodsX 11 (2023) 102230](S2215016123002273)(10.1016/j.mex.2023.102230)

    Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease

    A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

    Dataset of quality assurance measurements of rhythmic movements

Assist Prof Dr Raed AlSaleh | Structural Health Monitoring

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Assist Prof Dr Raed AlSaleh: Leading Researcher in Structural Health Monitoring.
 Assist Prof Dr Raed AlSaleh, German Jordanian University

Assistant Professor Dr. Raed AlSaleh, associated with the German Jordanian University, stands as a prominent figure in academia. With a distinguished background, Dr. AlSaleh excels in his role, bringing a wealth of knowledge and expertise to the educational landscape. His contributions span both teaching and research, enriching the academic experience for students. Known for his commitment to excellence, Dr. AlSaleh actively engages in advancing knowledge within his field, fostering a dynamic learning environment at the German Jordanian University. As an influential educator, he plays a vital role in shaping the intellectual landscape and contributing to the university’s academic reputation.

 

Professional Profiles:

 

 

The impact of her research is evident in citation metrics and indices from google scholar:

Cited by : All-379

citations- 211

h-index-7

 

Education:

  •  PhD in Civil Engineering, in the major of Structures (Health monitoring and Control of Structures), University of Pavia, 2011, PaviaItaly.M.Sc in Civil Engineering, in the major of Structures, Jordan University of Science and Technology, 2006, Irbid-Jordan.B.Sc in Civil Engineering (Roads, Bridges, and Airports), Al-Balqa’ Applied University, 2003, Amman-Jordan.

 

Experience:

9/2018- present: Assistant Professor, Civil and Environmental Engineering Department-SNREM, German Jordanian University (GJU), Jordan.

6/2019- 9/2022: Head of Civil and Environmental Engineering Department-SNREM, German Jordanian University (GJU), Jordan.

9/2017- 9/2018: Part-time lecturer, German Jordanian University, (GJU) Jordan.

9/2017-9/2018: Assistant Professor, Hussain Technical University (HTU), Jordan.

9/2011-9/2017: Assistant Professor, Department of Civil Engineering, Al-Zaytoonah University, Jordan.

9/2013-9/2014: Head of Civil Engineering Department, Al-Zaytoonah University, Jordan.

6/2011-8/2013: Part-time lecturer, Department of Civil Engineering, Faculty of Engineering Technology-AlBalqa University, Jordan.

5/2010-2/2011: Research assistant, Department of Civil and Structural Engineering, Polytechnic of Hong Kong University, Hong Kong.

Professional Experience:

  • 3/2007-1/2008: Steel Structure Site Engineer; Consolidated Contractors International Company (CCIC). RGX project, Ras-Laffan Industrial City-Qatar.
  • 7/2006-11/2006: Design Engineer, e-construct consulting company; Precast & Pre-stressed concrete Designer and Workshop drawer. CairoEgypt.
  • 3/2005-11/2005: Design and supervision Engineer (Cast in Situ. Concrete Structures), Manaseeb Consulting Office. Amman-Jordan.

 

Publications and Top Noted:

Raed AlSaleh, Ayman Nasir, Ibrahim Abu-Alshaikh, 2023, “Investigating fractional damping effect on Euler-Bernoulli beam subjected to a moving load”, Shock and Vibration, vol. 2023, 19 pages.

Raed AlSaleh, Nour Atieh, Ayman Nasir, 2023, “Vibration Response of Euler-Bernoulli-Damped Beam with Appendages Subjected to a Moving Mass”, Journal of the Mechanics and Physics of Solids, Accepted for publication.

Mohammad M Hamed, Adnan Al-Masri, Zakariya M Dalala, Raed J AlSaleh, 2021,”Modeling the Time Duration Until the Adoption of Residential Rooftop Solar Photovoltaic Systems”, Journal of Energy Resources Technology, vol (144)4, pp. 041302.

R. AlSaleh, Y. Q. Ni, 2020, Condition Assessment of a Supertall Structure by an Improved Hilbert-Huang Transform and Empirical Mode Decomposition Method, International Journal of Sustainable Materials and Structural Systems, vol (4) 2/3/4, pp. 244-267.

R. AlSaleh, and C. Fuggini, 2020, Combining GPS and Accelerometers’ Records to Capture Torsional Response of Cylindrical Tower, Smart Structures and Systems, vol (25)1, pp. 111-122.