hyunchul oh | Physical Chemistry | Best Researcher Award

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Assoc Prof Dr. hyunchul oh | Physical Chemistry |Best Researcher Award

Assoc Prof Dr at Ulsan National Institute of Science Technology, South Korea

Hyunchul Oh, Prof. Dr. rer. nat., is an accomplished researcher and academic leader specializing in the field of hydrogen storage and conversion. With a solid academic background from renowned institutions such as the Max Planck Institute for Intelligent Systems and Erlangen-NĆ¼rnberg University, Dr. Oh’s expertise lies in nanoporous materials for hydrogen isotope separation. He currently serves as an Associate Professor at Ulsan National Institute of Science and Technology and holds key roles in international organizations such as the Hydrogen TCP of the International Energy Agency. Dr. Oh’s research contributions, numerous awards, and extensive grant funding reflect his outstanding achievements in advancing the science of hydrogen-based energy solutions.

Profile

  1. Scopus

 

  1. Orcid

 

  1. Scholar

EducationĀ šŸŽ“

Dr. rer. nat. (Ph.D.), Max Planck Institute for Intelligent Systems, Germany (Dr. Michael Hirscher), 10/2010-05/2014. M.Sc. with honors, Erlangen-NĆ¼rnberg University (FAU Erlangen), Germany (Prof. Christoph J. Brabec), 09/2008-09/2010. B.Eng., Korea University of Technology and Education, South Korea, 03/1999-02/2008

šŸ’¼ Professional Experience

Assoc. Professor (tenured), Dept. Chemistry, Ulsan National Institute of Science and Technology, 03/2022-Present. Korea Representative, Hydrogen TCP, International Energy Agency (IEA), 03/2024-Present. Expert, Task40 Energy Storage and Conversion Based on Hydrogen, Hydrogen TCP, IEA, 01/2024-Present. Steering Committee Member, Inorganic Chemistry Division, Korean Chemical Society (KCS), 01/2024-Present. Board Member of Trustees, The Korean Hydrogen and New Energy Society, 01/2023-Present. Associate Editor, Heliyon (Cell Press), 12/2022-02/2024. Assist. Assoc. Professor, Dept. Energy, Gyeongsang National University (GNU), 03/2021-02/2022. Director, Industry-Academic Cooperation Foundation at GNU Division (Chilam), 03/2021-11/2021. Assoc. Research Fellow, Korea Institute of S&T Evaluation and Planning (KISTEP), 09/2014-08/2015. Postdoctoral Fellow, H2 storage group, Max Planck Institute for Intelligent Systems, 05/2014-08/2014. Technical Group Leader, The Korean Scientists & Engineers Association in the FRG, Germany, 09/2011-08/2014. Conference Key Organizer, ‘EU-Korea Conference on Science and Technologyā€™ (EKC2012), Berlin, Germany, 09/2011-08/2012

Scholarships, Fellowships & Awards šŸ†

05/2022: Best oral presentation award in 2022 KMRSā€™s spring meeting, Samcheok, Republic of Korea. 01/2022: Academic awards in GNU, Republic of Korea (cash prize of 0.2 million won). 12/2021: Honored with Commendation from Minister of Science and ICT. 11/2021: Selected as one of the ā€˜2021 National Research and Development Excellence Top 100ā€™. 12/2017, 2020: Academic awards in GNTech, Republic of Korea (cash prize of 1 million won). 11/2020: Best oral presentation award in 2020 KMRS’s fall meeting, Jeju, Republic of Korea. 11/2019: 1st Place of poster award at Asia-Oceania Conference on Neutron Scattering, AOCNS 2019. 12/2016: Best poster award (with Ā£100 cash) at H2FC Researcher Conference held at Belfast, UK. 06/2014: European Cooperation in Science and Technology Trainee Grant for Training Schools (COST-TS-ECOST-TRAINING_SCHOOL – MP1103- 170714-042321). 05/2014-08/2014: Max Planck Postdoctoral fellowship, Germany. 10/2013: Best oral presentation award in 2013 VeKNI’s 40th Anniversary Conference, Essen, Germany (cash prize of $1,000). 08/2012-08/2014: Scholarship from Ilun Science & Technology Foundation, Republic of Korea. 06/2013: European Cooperation in Science and Technology grant for Short Term Scientific Mission (COST-STSM-MP1103-13149). 11/2010-04/2014: Max Planck Doctoral fellowship, Germany. 11/2010-04/2014: Best oral presentation award in 2010 VeKNI’s fall meeting, Essen, Germany. 08/2010-07/2012: Korean Government Scholarship for Overseas Study, Korea Institute of Energy Technology Evaluation and Planning (KETEP), Republic of Korea. 09/2008-08/2010: Korean Provincial Government Scholarship for Overseas Study, Chungcheongnam-do, Republic of Korea

M. Eng. Students Supervised

Jaewoo Park: Ph.D. student, Dept. Chemistry, Ulsan National Institute of Science and Technology (2019). Minji Jung: Ph.D. student, Dept. Chemistry, Ulsan National Institute of Science and Technology (2020)

 

Publications Top Notes šŸ“

  • Nitrogen-rich covalent triazine frameworks as high-performance platforms for selective carbon capture and storage
    • Authors: S Hug, L Stegbauer, H Oh, M Hirscher, BV Lotsch
    • Journal: Chemistry of Materials
    • Year: 2015
    • Volume: 27
    • Issue: 23
    • Pages: 8001-8010
    • Citations: 247

 

  • Comparison of various solā€“gel derived metal oxide layers for inverted organic solar cells
    • Authors: H Oh, J Krantz, I Litzov, T Stubhan, L Pinna, CJ Brabec
    • Journal: Solar Energy Materials and Solar Cells
    • Year: 2011
    • Volume: 95
    • Issue: 8
    • Pages: 2194-2199
    • Citations: 205

 

  • A cryogenically flexible covalent organic framework for efficient hydrogen isotope separation by quantum sieving
    • Authors: H Oh, SB Kalidindi, Y Um, S Bureekaew, R Schmid, RA Fischer, …
    • Journal: Angewandte Chemie International Edition
    • Year: 2013
    • Volume: 52
    • Issue: 50
    • Pages: 13219-13222
    • Citations: 200

 

  • Inverted organic solar cells using a solution processed aluminum-doped zinc oxide buffer layer
    • Authors: T Stubhan, H Oh, L Pinna, J Krantz, I Litzov, CJ Brabec
    • Journal: Organic Electronics
    • Year: 2011
    • Volume: 12
    • Issue: 9
    • Pages: 1539-1543
    • Citations: 187

 

  • A fluorene based covalent triazine framework with high CO 2 and H 2 capture and storage capacities
    • Authors: S Hug, MB Mesch, H Oh, N Popp, M Hirscher, J Senker, BV Lotsch
    • Journal: Journal of Materials Chemistry A
    • Year: 2014
    • Volume: 2
    • Issue: 16
    • Pages: 5928-5936
    • Citations: 179

 

Alessia Annibale | Statistical Physics | Best Researcher Award

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Dr. Alessia Annibale | Statistical Physics | Best Researcher Award

Dr, King’s College London, United Kingdom

šŸ‘©ā€šŸ”¬Dr. Annibale, a Senior Lecturer at Kingā€™s College London, emerged from the esteemed group of Nobel laureate Giorgio Parisi at Sapienza University in Rome. Renowned for her groundbreaking contributions to spin-glasses, complex networks, and nonequilibrium statistical physics, she excels in both theoretical frameworks and practical algorithms. Her recent book, co-authored for Oxford University Press, delves into the intricacies of complex networks theory. With expertise in statistical mechanics, she investigates how network structures impact diverse processes like information processing and epidemic spreading. Dr. Annibale pioneers statistical physics methods in understanding the resilience of parallel information processing in machine learning. Exploring biological information processing systems, she utilizes spin-glasses and neural networks theory to decipher cellular thinking and gene-regulatory networks. Her work, published in esteemed journals and recognized in editorā€™s selections nine times, recently earned her a provisional selection for the Best Researcher Award at the International Young Scientist Awards. Her groundbreaking research on dynamically selected steady states in non-reciprocal networks expands the understanding of disordered systems, bridging equilibrium spin-glasses and dynamical systems theory.šŸŒŸ

Profile

Scopus

Orcid

Scholar

Main Research Themes and Expertise šŸ§ šŸ”¬

  1. Equilibrium Analysis of Complex Systems
    • Investigates processes on networks such as spin models, Kuramoto oscillators, and epidemic spreading.
    • Explores disordered systems including Neural Networks and Spin-glasses, employing supersymmetric approaches.
  2. Non-equilibrium Analysis of Complex Systems
    • Develops methods like Dynamical cavity and Generating functional analysis.
    • Applies Markov models to stochastic trajectories, studying aggregation, fragmentation, and exchange processes.
    • Examines glassy dynamics, coarsening processes, and fluctuation-dissipation violations.
  3. Networks and Graphs
    • Utilizes null models for network characterization and studies network dynamics.
    • Investigates sampling and inference techniques in network analysis.

Education šŸ“š

PhD in Applied Mathematics, King’s College London (UK), 2004-2007 Thesis on fluctuation-dissipation relations and heterogeneities in coarsening systems. MSci in Theoretical Physics, University of Rome (Italy), 1998-2003 Explored the complexity in the Sherrington-Kirkpatrick model using supersymmetric calculations.

Academic Employment šŸ’¼

Senior Lecturer at Kingā€™s College London, with extensive teaching and supervisory roles. Directed and coordinated various academic programs and doctoral training initiatives.

Key Duties

  1. Leadership roles in academic programs and doctoral training initiatives.
  2. Extensive teaching and supervision of undergraduate and postgraduate students.
  3. Involvement in research projects and committees.

Publications Top Notes šŸ“

  1. Title: Immune networks: multitasking capabilities near saturation
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 41
    • Pages: 415003
    • Citations: 76

 

  1. Title: Constrained Markovian dynamics of random graphs
    • Authors: ACC Coolen, A De Martino, A Annibale
    • Journal: Journal of Statistical Physics
    • Year: 2009
    • Volume: 136
    • Pages: 1035-1067
    • Citations: 65

 

  1. Title: Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure
    • Authors: A Annibale, ACC Coolen, LP Fernandes, F Fraternali, J Kleinjung
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2009
    • Volume: 42
    • Issue: 48
    • Pages: 485001
    • Citations: 61

 

  1. Title: Extensive parallel processing on scale-free networks
    • Authors: P Sollich, D Tantari, A Annibale, A Barra
    • Journal: Physical review letters
    • Year: 2014
    • Volume: 113
    • Issue: 23
    • Pages: 238106
    • Citations: 60

 

  1. Title: Immune networks: multi-tasking capabilities at medium load
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 33
    • Pages: 335101
    • Citations: 38

 

  1. Title: Spin, bond and global fluctuationā€“dissipation relations in the non-equilibrium spherical ferromagnet
    • Authors: A Annibale, P Sollich
    • Journal: Journal of Physics A: Mathematical and General
    • Year: 2006
    • Volume: 39
    • Issue: 12
    • Pages: 2853
    • Citations: 36

 

  1. Title: Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods
    • Authors: LP Fernandes, A Annibale, J Kleinjung, ACC Coolen, F Fraternali
    • Journal: PloS one
    • Year: 2010
    • Volume: 5
    • Issue: 8
    • Pages: e12083
    • Citations: 30