Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

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Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Kumoh National Institute of Technology, South Korea.

Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology 🇰🇷, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.

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🎓 Education

Chibuzo earned both his Master’s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.

💼 Experience

With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.

🔬 Research Interests

His key research domains include:

🔧 Prognostics and Health Management (PHM)

🤖 Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

⚙️ Real-time Fault Diagnostics

🏆 Awards & Grants

Chibuzo’s research has been supported by prestigious Korean government grants:

IITP Innovative Human Resource Development for Local Intellectualization

ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.

📚 Selected Publications

🆕 Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

📅 2025-04-13 | Sensors
🔗 DOI: 10.3390/s25082449
👨‍🔬 Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
📌 Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.

⚙️ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

📅 2024-10-09 | Journal of Sensor and Actuator Networks
🔗 DOI: 10.3390/jsan13050064
👨‍🔬 Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
📌 Fault detection in mechanical components using spectral features and XGBoost.

🔍 Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

📅 2024-02-29 | Electronics
🔗 DOI: 10.3390/electronics13050926
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.

⚡ Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

📅 2024-01-18 | Preprint
🔗 DOI: 10.20944/preprints202401.1371.v1
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Preprint focusing on enhanced signal processing for electrical fault classification.

🧠 An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

📅 2023 | IEEE Access
🔗 DOI: 10.1109/ACCESS.2023.3266865
👨‍🔬 Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
📌 Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Dr. Elitsa Petkucheva | Electrochemistry | Best Researcher Award

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Dr. Elitsa Petkucheva | Electrochemistry | Best Researcher Award

BAS - Institute of Electrochemistry and Energy Systems, Bulgaria.

Dr. Elitsa Petkucheva is a dedicated hydrogen enthusiast committed to advancing clean energy solutions. With a robust background in engineering and a profound understanding of hydrogen fuel cells, she actively collaborates with industry leaders, government officials, and academic researchers to promote hydrogen-based applications across various sectors, including power generation, transportation, and industrial processes.

Profile

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🎓 Education

Dr. Elitsa Petkucheva holds an Executive MBA in Energy Management from the Swiss School of Business and Management Geneva, Switzerland, which she completed between March 2022 and May 2024. She earned her Ph.D. in Electrochemistry from the Acad. E. Budevski Institute of Electrochemistry and Energy Systems (IEES) in Sofia, Bulgaria, where she conducted research from September 2013 to May 2018. Prior to that, she obtained an M.Sc. in Hydrogen Technologies from the University of Chemical Technology and Metallurgy (UCTM) in Sofia, Bulgaria, graduating in June 2013. Dr. Petkucheva also holds a B.Sc. in Biotechnologies from UCTM, which she completed between September 2007 and September 2011.​

💼 Experience

Dr. Elitsa Petkucheva is currently serving as a Chief Assistant in Research and Development at the Institute of Electrochemistry and Energy Systems (IEES) within the Bulgarian Academy of Sciences, a position she has held since July 2019. Prior to this role, she worked as a Research Assistant at IEES-BAS from September 2017 to July 2019. Additionally, she gained international research experience as a Research Associate at the Laboratory of Inorganic Synthesis and Catalysis (LSCI) at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, where she was involved in advanced research from January 2016 to January 2017.​

🔬 Research Interests

Hydrogen technologies​

Electrocatalysis​

Electrochemistry​

Biotechnologies​

Development of membrane electrode assemblies for PEM hydrogen systems​

🏆 Awards

"Eurika" Foundation Honoree Diploma in the category "Young Inventor" (2021)​

"Prof. Hristo Balarev" Award for prominent young scientist in the field of Inorganic Chemistry, Bulgarian Union of Chemists (November 2, 2020)​

First Place in the category "Science and/or Technological Development" of the program "The Most Prominent Young People in Bulgaria 2020," part of the international movement Junior Chamber International (JCI) (May 6, 2020)​

Acad. M. Drinov Prize 2020 for the best scientist (under 35 years) in the Bulgarian Academy of Sciences, in the category "Energy Resources and Energy Efficiency"​

Zeno Karl Schindler Foundation Doctoral Exchange Grant (2016-2017)​

📚 Selected Publications

An unconventional iron-nickel catalyst for the oxygen evolution reaction
F. Song, M. M. Busch, B. Lassalle-Kaiser, C. S. Hsu, E. Petkucheva, ...
ACS Central Science, 5(3), 558-568 (2019) – Citations: 363

Ebonex supported iridium as anode catalyst for PEM water electrolysis
E. Slavcheva, G. Borisov, E. Lefterova, E. Petkucheva, I. Boshnakova
International Journal of Hydrogen Energy, 40(35), 11356-11361 (2015) – Citations: 42

Gold-supported magnetron sputtered Ir thin films as OER catalysts for cost-efficient water electrolysis
E. Petkucheva, G. Borisov, E. Lefterova, J. Heiss, U. Schnakenberg, ...
International Journal of Hydrogen Energy, 43(35), 16905-16912 (2018) – Citations: 29

Highly KOH doped para-polybenzimidazole anion exchange membrane and its performance in Pt/TinO2n−1 catalyzed water electrolysis cell
H. Penchev, G. Borisov, E. Petkucheva, F. Ublekov, V. Sinigersky, I. Radev, ...
Materials Letters, 221, 128-130 (2018) – Citations: 13

Co-electrodeposition of iron and sulfur in aqueous and non-aqueous electrolytes
V. A. Majidzade, S. P. Mammadova, E. S. Petkucheva, E. P. Slavcheva, ...
Bulgarian Chemical Communications, 52, 73-78

Prof. Dr. Lei Wang | Food Science | Best Researcher Award

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Prof. Dr. Lei Wang | Food Science | Best Researcher Award

Beibu Gulf University, China.

Wang Lei is a Professor at the School of Food Engineering, Beibu Gulf University and a part-time master supervisor at Guangxi University of Science and Technology and Jishou University. He holds a Ph.D. in Engineering from Southwest University. His research primarily focuses on the processing adaptability and ecological high-value utilization of agricultural and sideline products.

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🎓 Education

Prof. Dr. Lei Wang holds a Ph.D. in Engineering from Southwest University 🏫. He is a distinguished researcher and academic with expertise in engineering and technology. His work focuses on advancing innovative solutions in his field, contributing significantly to scientific research and industrial applications. Throughout his career, Dr. Wang has been involved in numerous research projects, publications, and academic collaborations, making a substantial impact on the engineering community. 🚀

👨‍🏫 Experience

Prof. Dr. Lei Wang is a Professor at the School of Food Engineering, Beibu Gulf University 🏫 and a Master Supervisor at Guangxi University of Science and Technology & Jishou University 🎓. His research focuses on food engineering, innovation in food processing technologies, and quality enhancement.

As a Principal Investigator, he has led multiple projects funded by prestigious institutions, including the National Natural Science Foundation of China, Guangxi Key R&D Program, Guangxi Natural Science Foundation, and the Guangxi Colleges and Universities Young and Middle-aged Teachers Basic Capacity Improvement Project.

Dr. Wang also serves as a peer reviewer for leading journals such as LWT-Food Science and Technology, Food Science and Technology International, and Modern Food Science and Technology 📰, contributing to the advancement of scientific research in food engineering.

🏆 Research Interests

Wang Lei specializes in:

Processing adaptability of agricultural products 🌾

Ecological high-value utilization of sideline products ♻️

Food processing technologies 🍞🥛

🏅 Awards & Achievements

Led and participated in multiple national and provincial research projects 🎯

Published 40+ research papers, including 10+ indexed papers 📑

Authored two books and contributed to multiple textbooks 📘

Participated in drafting four industry standards and one enterprise standard 📜

📚 Selected Publications

Effects of barley seedling powder on rheological properties of dough and quality of steamed bread
📖 Food Science and Technology International (2025-03)
🔗 DOI: 10.1177/10820132231188988
👥 Contributors: Xiaohuang Cao, Md. Nahidul Islam, Dandan Lu, Congying Han, Lei Wang, Mingxiong Tan, Yuan Chen, Ning Xin

Lipid and polyphenol removal on the structural, physico-chemical and technological properties of passion fruit epicarp flour
📖 Food Chemistry: X (2025-02)
🔗 DOI: 10.1016/j.fochx.2025.102345
👥 Contributors: Xin Ning, Chengrong Wen, Shimin Chen, Lina Chen, Xiaohui Huang, Lei Wang

Effects of superheated steam processing on the physicochemical properties of sea rice bran
📖 Food Science and Technology International (2023-03)
🔗 DOI: 10.1177/10820132211062711
👥 Contributors: Xiaohuang Cao, Md. Nahidul Islam, Xin Ning, Zhihui Luo, Lei Wang

Corn silk flour fortification as a dietary fiber supplement: Evolution of the impact on paste, dough, and quality of dried noodles
📖 International Journal of Food Engineering (2022-06-27)
🔗 DOI: 10.1515/ijfe-2021-0360
👥 Contributors: Xin Ning, Xiaodong Zheng, Zhihui Luo, Zhilin Chen, Xiaoli Pan, Kena Yu, Zhaoming Liu, Xuerong Huang, Wei Du, Xiaohuang Cao et al.

Evaluation of passion fruit mesocarp flour on the paste, dough, and quality characteristics of dried noodles
📖 Food Science & Nutrition (2022-05)
🔗 DOI: 10.1002/fsn3.2788
👥 Contributors: Xin Ning, Yahan Zhou, Zhen Wang, Xiaodong Zheng, Xiaoli Pan, Zhilin Chen, Qiuping Liu, Wei Du, Xiaohuang Cao, Lei Wang

Fortification of set yogurt with passion fruit juice: Effects on fermentation kinetics, physicochemical properties, and functionality
📖 Journal of Dairy Science (2021-04)
🔗 DOI: 10.3168/jds.2020-19261
👥 Contributors: Xin Ning, Zhihui Luo, Zhilin Chen, Chunyao Zhou, Cuiqing Xie, Wei Du, Lei Wang

 

 

Assoc. Prof. Dr. Man Ho Chan | Dark Matter | Best Researcher Award

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Assoc. Prof. Dr. Man Ho Chan | Dark Matter | Best Researcher Award

The Education University of Hong Kong, Hong Kong.

Dr. Chan Man Ho is a distinguished academic specializing in astrophysics, philosophy, and science education. He is currently an Assistant Dean and Associate Dean at the Faculty of Liberal Arts and Social Sciences, The Education University of Hong Kong. With over 100 refereed publications and multiple prestigious awards, Dr. Chan’s research spans dark matter, black holes, multiverse theories, and philosophy of science. His work has received international recognition, with media coverage in top science outlets. A committed educator and researcher, he actively contributes to the scientific community as a journal reviewer, conference organizer, and elected fellow of esteemed societies.

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🎓 Education

Assoc. Prof. Dr. Man Ho Chan is a distinguished academic with expertise spanning astrophysics, philosophy, and physics education. He earned his Ph.D. in Philosophy from Hong Kong Baptist University (2013–2017) under the supervision of Prof. Kwan Kai Man. Prior to that, he completed a Postgraduate Diploma in Education (Physics Education) at The Chinese University of Hong Kong (2010–2012) and an M.A. in Christian Studies from the same institution (2008–2010). His strong foundation in astrophysics includes a Ph.D. (2004–2008) and an M.Phil. (2002–2004) from The Chinese University of Hong Kong, both supervised by Prof. Chu Ming Chung. Dr. Chan began his academic journey with a B.Sc. in Physics from The Chinese University of Hong Kong (1999–2002), establishing a solid background in scientific research and interdisciplinary studies.

💼 Experience

Assoc. Prof. Dr. Man Ho Chan has an extensive academic and teaching career, currently serving as the Assistant Dean and Associate Dean of the Faculty of Liberal Arts and Social Sciences at The Education University of Hong Kong (EdUHK) since 2024. He has been an Associate Professor in the Department of Science and Environmental Studies at EdUHK since 2021, following his tenure as an Assistant Professor from 2015 to 2021. Before joining EdUHK, he was a Lecturer in the Department of Physics at The Chinese University of Hong Kong from 2012 to 2015. His early career includes valuable experience in secondary education, having taught at Shatin Pui Ying College (2005–2011) and Peace Evangelical Secondary School (2004–2005). His diverse roles reflect a strong commitment to education, research, and academic leadership.

🔬 Research Interests

Astrophysics: Dark Matter, Supermassive Black Holes, Exoplanets, Multiverse

Philosophy of Science: Cosmopsychism, Scientific Realism, Creativity

Science Education: Constructivist Learning, Early Science Literacy

🏆 Awards & Honors

2024 Honorable Mention, Awards for Essays on Gravitation (Gravity Research Foundation, USA)

2024 Departmental Teaching Excellence Award (EdUHK)

2023 Elected Fellow, Royal Astronomical Society (UK)

2023 President’s Award for Outstanding Performance in Research (EdUHK)

2022 Humanities & Social Sciences Prestigious Fellowship (Research Grants Council)

2022 Faculty Research Output Prize (EdUHK)

2021 Elected Fellow, International Society for Science and Religion

2020 President’s Award for Outstanding Performance in Research (Early Career) (EdUHK)

📚 Selected Publications

Astrophysics:

"Identifying dark matter signals by the radio continuum spectral data of the cool-core cluster RX J1720.1+2638" (2025) – Monthly Notices of the Royal Astronomical Society

Co-authored with Chak Man Lee

Explores potential dark matter signals in galaxy clusters

[DOI: 10.1093/mnras/stae2638]

Science Education:

"Pathways to early science literacy: Investigating the different role of language and reading skills in science literacy among early primary school children" (2025) – International Journal of Science Education

Co-authored with Yuanke Sun

Examines the influence of language and reading skills on young students' science literacy

[DOI: 10.1080/09500693.2024.2335671]

"Constructivist learning approaches do not necessarily promote immediate learning outcome or interest in science learning" (2025) – The Asia-Pacific Education Researcher

Co-authored with Elaine Kit Ling Yeung, Miao Zhong, Jing Huang, Tik Sze Carrey Siu, and Him Cheung

Evaluates the effectiveness of constructivist learning methods in science education

[DOI: 10.1007/s40299-024-00893-8]

"The impact of immersive design on the relations between students’ motivational and science literacy awareness: A mixed methods study" (2025) – Cogent Education

Co-authored with Yuan-Ke Sun and Wing-Chi Wong

Investigates the effects of immersive learning environments on student motivation and science literacy

[DOI: 10.1080/2331186X.2025.2467494]

Philosophy:

"On Philip Goff’s case for agentive cosmopsychism" (2024) – International Journal for Philosophy of Religion

Co-authored with Kai Yan Chan

Critically examines Goff's argument for cosmopsychism

[DOI: 10.1007/s11153-024-09931-3]

 

 

Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

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Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

Princess Margaret Cancer Centre, Canada.

Dr. James Chun Lam Chow, PhD, FCCPM, FInstP, FIET, SMIEEE, PPhys, CPhys, CSci, is a distinguished medical physicist specializing in radiation oncology and artificial intelligence applications in healthcare. He is currently an Associate Professor in Material Science and Engineering at the University of Toronto and a Clinician Investigator at the Princess Margaret Cancer Research Institute. With over two decades of experience in medical physics, his research focuses on AI-driven healthcare solutions, radiation therapy optimization, and Monte Carlo simulations for cancer treatment.

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Education🎓

Dr. James C. L. Chow earned his PhD in Physics from the University of Hong Kong in 1995 under the supervision of Prof. Peter Fung, following a BSc in Applied Physics (First Class Honours) from City University of Hong Kong in 1992. He was awarded a Croucher Postdoctoral Fellowship at the University of Cambridge (1995-1997), then continued his research as a Postdoctoral Researcher at the University of Toronto (1997-1998) and later as a Postdoctoral Fellow at McMaster University (1998-2000). Transitioning into medical physics, he completed his Medical Physics Residency at the London Regional Cancer Centre (2000-2002), gaining clinical expertise in radiation therapy and medical imaging.

Professional Experience🌟

Dr. James C. L. Chow is an accomplished medical physicist and academic with extensive experience in radiation oncology and materials science. He is currently an Associate Professor in the Department of Materials Science and Engineering at the University of Toronto (2025–Present) and has been an Associate Professor in the Department of Radiation Oncology at the University of Toronto since 2019. In addition to his academic roles, he serves as a Medical Physicist at Princess Margaret Cancer Centre (2005–Present), where he also leads as the Physics On-Call Lead (2010–Present). His research contributions are further reflected in his role as a Clinician Investigator at the Princess Margaret Cancer Research Institute (2023–Present) and his affiliation with the Acceleration Consortium at the University of Toronto (2024–Present).

Previously, Dr. Chow held multiple key positions, including Assistant Professor in Radiation Oncology at the University of Toronto (2006–2019) and Medical Physics Site Lead for Skin Cancer at Princess Margaret Cancer Centre (2010–2015). Before joining Princess Margaret, he worked as a Medical Physicist and Deputy Radiation Safety Officer at Grand River Regional Cancer Centre (2002–2005). He has also contributed to academia as an Adjunct Professor at Ryerson University and the University of Waterloo (2005–2010). His career reflects a deep commitment to advancing medical physics, cancer treatment, and interdisciplinary research in materials science and engineering.

Research Interests📚

Dr. Chow’s research focuses on:

Radiation Oncology & Medical Physics: Treatment optimization using Monte Carlo simulations

Artificial Intelligence in Healthcare: AI-driven diagnostic tools and chatbot applications in oncology

Nanotechnology in Radiation Therapy: Gold nanoparticle-enhanced radiotherapy

Clinical Data Analysis: Predictive modeling for cancer treatment outcomes

Awards & Recognitions🏆

2024 Outstanding Reviewer, Nuclear Engineering and Technology Journal

2024 Most-Viewed Article, JMIR Cancer

2024 Outstanding Author of the Year, AIMS Biophysics Journal

2019 Top Peer Reviewer, Web of Science Group

2012 Outstanding Reviewer, Medical Physics Journal

2010 SciNet Local Resource Allocation Award (1 million supercomputing hours for Monte Carlo simulations)

Selected Publications📖

Gold nanoparticles for drug delivery and cancer therapy
S Siddique, JCL Chow
Applied Sciences 10(11), 3824 (2020) – Cited: 382

Chatbot for health care and oncology applications using artificial intelligence and machine learning: Systematic review
L Xu, L Sanders, K Li, JCL Chow
JMIR Cancer 7(4), e27850 (2021) – Cited: 375

Application of nanomaterials in biomedical imaging and cancer therapy
S Siddique, JCL Chow
Nanomaterials 10(9), 1700 (2020) – Cited: 325

Irradiation of gold nanoparticles by X‐rays: Monte Carlo simulation of dose enhancements and the spatial properties of secondary electron production
MKK Leung, JCL Chow, BD Chithrani, MJG Lee, B Oms, DA Jaffray
Medical Physics 38(2), 624-631 (2011) – Cited: 311

Machine learning in healthcare communication
S Siddique, JCL Chow
Encyclopedia 1(1), 220-239 (2021) – Cited: 142

 

 

Ms. Danai Tsakiri | Extractive Metallurgy | Best Researcher Award

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Ms. Danai Tsakiri | Extractive Metallurgy | Best Researcher Award

National Technical University of Athens, Greece.

Danai Tsakiri is a dedicated researcher specializing in Metallurgy and Materials Science, with a strong academic background and extensive experience in raw materials research. She has made significant contributions to the study of acid-activated clays, lithium extraction, and sustainable industrial materials. Currently, she serves as a Research Assistant at the National Technical University of Athens (NTUA), actively participating in multiple European and national research projects.

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🎓 Education

Ms. Danai Tsakiri is a Ph.D. candidate in Metallurgy and Materials Science at the National Technical University of Athens (NTUA), Greece. She holds an M.Sc. in Science and Technology of Materials from NTUA (2010–2012), where she graduated with honors, achieving a grade of 8.69/10.0. Additionally, she earned a Diploma in Mining and Metallurgical Engineering from NTUA (2005–2010) with an outstanding grade of 9.08/10.0. Throughout her academic journey, Ms. Tsakiri has demonstrated excellence in her field, contributing to research and advancements in metallurgy and materials science.

🛠️ Professional Experience

Ms. Danai Tsakiri has extensive experience in metallurgy and materials science research. Since 2014, she has been a Research Assistant at the Laboratory of Metallurgy at NTUA, where she conducts laboratory experiments, analyzes research data, and contributes to scientific publications. She has been actively involved in multiple European-funded projects, including LEEMA, NANO-HVAC, ECO-BINDER, DIANA, and BATTERFLAI. Prior to this, she worked as a Junior Industrial Rocks & Minerals Researcher at S&B Group (2013–2014), focusing on the investigation of industrial mineral properties. Her experience also includes an internship at the Hellenic Research Centre for Metals S.A. (ELKEME) in 2009, where she conducted laboratory analyses on metallurgical samples.

🔬 Research Interests

Metallurgy & Materials Science – Acid activation, structure-property relationships.

Raw Materials & Circular Economy – Sustainable mineral processing.

Battery Materials & Lithium Extraction – Alternative methods for Li recovery.

Nanotechnology in Insulation & Construction – Low-carbon material development.

🏆 Awards & Honors

Technical Chamber of Greece Award for academic excellence.

NTUA High Performance Recognition during studies.

📚 Notable Publications

Li Extraction from a-Spodumene Concentrate via Carbonizing Calcination
Materials Proceedings (December 2023) 
Contributors: Katerina Maliachova, Nikolaos Doukas, Danai Tsakiri, Michail Samouhos, Lefkothea Sakellariou, Iliana Douni, Maria Taxiarchou, Ioannis Paspaliaris
Source: Multidisciplinary Digital Publishing Institute

Structural and Surface Modification of Oxalic-Acid-Activated Bentonites in Various Acid Concentrations for Bleaching Earth Synthesis—A Comparative Study
Minerals (June 2022)
Contributors: Danai Tsakiri, Iliana Douni, Maria Taxiarchou

 

 

 

Prof. Sergey Kozlov | Neuroscience | Best Researcher Award

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Prof. Sergey Kozlov | Neuroscience | Best Researcher Award

Shemiakin-Ovchinnikov Institute of bioorganic chemistry RAS, Russia.

Dr. Sergey Kozlov is a DSc and Head of the Laboratory of Neuroreceptors and Neuroregulators at the Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry. He also teaches at the Federal State Russian Biotechnological University. His research focuses on the rational search for active molecules and the analysis of their structure-function relationships, particularly for potential healthcare applications. His most notable contributions include discovering ligands for acid-sensitive ion channels, which have promising therapeutic potential for treating pain, inflammation, drug addiction, anxiety, and neurodegenerative conditions such as stroke.

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🎓 Education

Prof. Sergey Kozlov is a distinguished scientist and educator specializing in bioorganic chemistry and biotechnology. He earned his Doctor of Science (DSc) from the Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, where he conducted advanced research in biochemical processes and molecular interactions. Currently, he serves as a teaching faculty member at the Federal State Russian Biotechnological University, where he contributes to academic development and scientific research in biotechnology. With extensive expertise in biomolecular studies, Prof. Kozlov plays a crucial role in training future researchers and advancing innovation in bioorganic chemistry.

💼 Experience

Professor Sergey Kozlov is the Head of the Laboratory of Neuroreceptors and Neuroregulators at the Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry. He is also a Professor & Researcher at the Federal State Russian Biotechnological University. Additionally, he collaborates with various Russian chemical laboratories on the functional testing of low molecular weight compounds.

His expertise likely involves bioorganic chemistry, neurobiology, and possibly pharmacology, with a focus on receptor interactions and the regulation of neurochemical processes in the brain.

🔬 Research Interests

Dr. Kozlov's research focuses on protein chemistry, including:

Separation of natural mixtures and structure determination

Activity analysis of compounds using imaging and electrophysiology

Development of animal models for testing new molecules

Production of recombinant proteins and receptor mutagenesis
His work has contributed significantly to understanding acid-sensitive ion channels, which play a role in pain management, inflammation, addiction, anxiety, and neurodegeneration.

🏆 Awards & Recognitions

Member – The International Society on Toxinology

Member – Federation of European Biochemical Societies (FEBS)

Hirsch Index: 28 (WoS)

Patents: 19 published, 2 under review

Consultancy/Industry Projects: 2 completed

Research Projects: 6 (4 completed, 2 ongoing)

📚 Selected Publications

Mutagenesis of the Peptide Inhibitor of ASIC3 Channel Introduces Binding to Thumb Domain of ASIC1a but Reduces Analgesic Activity
Marine Drugs, Aug 2024 | DOI: 10.3390/md22090382
🧬 Examines peptide inhibitors of ASIC3 channels and their effect on pain relief.

Opioid Analgesic as a Positive Allosteric Modulator of Acid-Sensing Ion Channels
Int. J. Mol. Sci., Jan 2024 | DOI: 10.3390/ijms25031413
💊 Investigates opioid analgesics as modulators of ASIC channels for potential pain management.

Venom-gland transcriptomics and proteomics of the Tibellus oblongus spider
Dataset, Oct 2023 | DOI: 10.6084/m9.figshare.21842034
🕷️ Provides genomic insights into spider venom composition.

Fifty Years of Animal Toxin Research at the Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry RAS
Int. J. Mol. Sci., Sep 2023 | DOI: 10.3390/ijms241813884
🏛️ Reviews five decades of toxin research at IBCh RAS.

Dual Modulator of ASIC Channels and GABA<sub>A</sub> Receptors from Thyme Alters Fear-Related Hippocampal Activity
Int. J. Mol. Sci., Aug 2023 | DOI: 10.3390/ijms241713148
🌿 Explores a thyme-derived compound affecting ASIC and GABA receptors linked to anxiety.

 

 

 

Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

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Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

Icahn School of Medicine at Mount Sinai Hospital New York, United States.

Riccardo Sacco is an Italian mathematician and engineer based in New York, USA. He is currently an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, with over two decades of expertise in numerical analysis, computational modeling, and applied mathematics. Riccardo has published extensively, mentoring numerous students and contributing significantly to research in ophthalmology and engineering applications.

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🎓 Education

Assoc. Prof. Dr. Riccardo Sacco is a distinguished academic and researcher with expertise in electronic engineering and applied mathematics. Holding a combined B.Sc./M.Sc. in Electronic Engineering from Politecnico di Milano (1989) and a Ph.D. in Applied Mathematics from Università degli Studi di Milano (1993), he has significantly contributed to the field through innovative research and teaching. Following his doctoral studies, Dr. Sacco pursued post-doctoral fellowships at CNR and Università degli Studi di Milano (1993–1995), further advancing his knowledge in applied mathematics. Currently, he serves as an Associate Professor, sharing his expertise and fostering the next generation of engineers and mathematicians.

💼 Experience

Assoc. Prof. Dr. Riccardo Sacco has built a remarkable academic and professional career, blending teaching, research, and global collaboration. Since 2024, he has served as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital in New York, USA, where he contributes to groundbreaking research in applied mathematics and computational methods. Prior to this role, he spent over two decades at Politecnico di Milano (PoliMi), serving as an Associate Professor of Numerical Analysis from 2001 to 2024, and earlier as an Assistant Professor in Numerical Analysis from 1995 to 2001.

Dr. Sacco’s academic journey is enriched by several international appointments as a Visiting Scientist, including at AT&T Bell Labs (1990), Georgia Tech (2003), Université de Strasbourg (2015), and North Carolina State University (2018). These experiences reflect his commitment to advancing numerical analysis and fostering global scientific collaboration.

🔬 Research Interests

Numerical Analysis and Computational Modeling: Application in engineering, medicine, and electronics

Ophthalmology: Modeling aqueous humor dynamics and intraocular pressure

Multi-physics and Multi-scale Problems: Nano-bio-electronics and semiconductor modeling

🏆 Awards and Honors

2010: Co-author of the Most Downloaded Article in Computer Methods in Applied Mechanics and Engineering

2001: Featured in Who’s Who in the World, 18th Edition

📚 Selected Publications

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Mathematical and Computational Applications
2025-01-24 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Preprint
2024-12-19
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

The Role of Conventional and Unconventional Adaptive Routes in Lowering Intraocular Pressure: Theoretical Model and Simulation
Physics of Fluids
2023-06-01 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Gal Antman, Giovanna Guidoboni, Alice Verticchio, Brent Siesky, Alon Harris

Nanoparticle-Based Retinal Prostheses: The Effect of Shape and Size on Neuronal Coupling
Photonics
2022-09-29 | Journal Article
Contributors: Greta Chiaravalli, Guglielmo Lanzani, Riccardo Sacco

Corrections to “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling”
IEEE Transactions on Biomedical Engineering
2020-10 | Journal Article
Contributors: Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic