Aizhan Omirbayeva | Energy and Sustainability | Young Scientist Award

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Mrs. Aizhan Omirbayeva | Energy and Sustainability | Young Scientist Award

L. N. Gumilyiev Eurasian National University | Kazakhstan

Omirbayeva Aizhan is a young researcher in Thermal Power Engineering with a strong academic foundation and growing international research profile. She holds a Bachelor’s degree and a Master of Technical Sciences degree  in Thermal Power Engineering and is currently pursuing a PhD in the same field at L.N. Gumilyov Eurasian National University. Her academic experience includes research, textbook authorship, laboratory guideline development, and student mentorship at the national level. Her primary research interests focus on coal gasification and solar-assisted coal gasification technologies, aiming to improve the efficiency and sustainability of Kazakhstan’s coal resources. She has received competitive research funding under the national  grant program and actively participates in international training programs on green energy and sustainability. Overall, her work demonstrates strong potential for advancing clean energy technologies and contributing to the next generation of sustainable power engineering research.


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Featured Publications


Analysis of Fuel Gasification Using Solar Technology: A Patent Review
M. Zhumagulov, A. Omirbayeva, D. Papurello,
Gases, 2026.


Review of Coal Gasification Technologies and Their Applicability in Kazakhstan (Part I)
M.G. Zhumagulov, A. Ö. Omirbayeva,
Bulletin of Toraighyrov University – Energetics Series, 2025.

Technological Features of Obtaining BeO and Beryllium Ceramics by Slip Casting Method
A. Omirbayeva,
Bulletin of the L.N. Gumilyov Eurasian National University, 2018.

Yuxin Zhang | Energy and Sustainability | Best Researcher Award

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Mr. Yuxin Zhang | Energy and Sustainability | Best Researcher Award

Tongji University | China

Mr. Yuxin Zhang is a postgraduate student at Tongji University, specializing in Energy and Power with a focus on refrigeration and high-temperature heat pump systems. His academic journey is centered on advancing sustainable thermal energy technologies, particularly in the context of rail vehicle air-conditioning. Zhang has contributed significantly to the replacement of traditional refrigerants with low-GWP refrigerant mixtures, addressing both environmental and energy efficiency challenges. His research has been published in Energies, a leading SCI-indexed journal, with over 1 citations, an h-index of 1, and multiple supporting documents available through his publication record. Building on this foundation, he has applied for two invention patents related to energy-efficient refrigeration and heating systems. His collaborations with the Shanghai Refrigeration Society and industry-based projects highlight his applied research experience and commitment to bridging academic innovation with industrial implementation. Zhang’s interests span refrigeration cycles, high-temperature heat pump technologies, and sustainable cooling solutions, reflecting his dedication to green energy transitions. Recognized for his early yet impactful contributions, he has actively participated in research addressing climate-friendly alternatives in thermal management. With a growing publication profile and strong research outputs, he aspires to advance innovation in refrigeration engineering and contribute meaningfully to global sustainability goals.

Profiles : Scopus | Google Scholar 

Featured Publications

Zhang, Y., Cao, S., Zhao, L., & Cao, J. (2022). A case application of WRF-UCM models to the simulation of urban wind speed profiles in a typhoon. Journal of Wind Engineering and Industrial Aerodynamics, 220, 104874.

Liu, C., Zhang, Y., Yao, Y., & Huang, Y. (2019). Calculation method for flexural capacity of high strain-hardening ultra-high performance concrete T-beams. Structural Concrete, 20(1), 405–419.

Zhang, Y., Cao, S., & Cao, J. (2022). An improved consistent inflow turbulence generator for LES evaluation of wind effects on buildings. Building and Environment, 223, 109459.

Zhang, Y., Cao, S., Cao, J., & Wang, J. (2023). Effects of turbulence intensity and integral length scale on the surface pressure on a rectangular 5:1 cylinder. Journal of Wind Engineering and Industrial Aerodynamics, 236, 105406.

Zhang, Y., Cao, S., & Cao, J. (2023). Implementation of an embedded LES model with parameter assessment for predicting surface pressure and surrounding flow of an isolated building. Journal of Wind Engineering and Industrial Aerodynamics. Advance online publication.

Hussain Ali | Nanotechnology  | Best Researcher Award

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Assoc. Prof. Dr. Hussain Ali | Nanotechnology | Best Researcher Award

School of Pharmaceutical Science & Technology Tianjin University  | China

Dr. Hussain Ali is an accomplished researcher and Associate Professor at Tianjin University, specializing in water and wastewater treatment, advanced oxidation processes, nanomaterials, and environmental remediation. He earned his Ph.D. in Environmental Engineering from Universiti Teknologi PETRONAS, Malaysia, following a strong academic foundation in engineering sciences. his work has attracted more than 2718 citations, reflecting a strong research impact with an h-index of 31. His academic journey includes serving as a postdoctoral researcher and later advancing to faculty positions, where he has contributed extensively to both teaching and mentoring graduate students. Dr. Ali’s research primarily focuses on photocatalysis, electrochemical treatment, hybrid treatment technologies, and sustainable materials for environmental applications.  He has also been granted multiple patents, secured national and international research funding, and actively serves as an editorial board member for reputed journals. With a global research outlook and dedication to sustainability, Dr. Ali continues to advance innovative solutions to address critical environmental challenges, contributing significantly to science and society.

Profile : Google Scholar 

Featured Publications

“Nano-and microparticulate drug carriers for targeting of the inflamed intestinal mucosa”

“Anti-neuroinflammatory potential of natural products in attenuation of Alzheimer’s disease”

“Budesonide loaded nanoparticles with pH-sensitive coating for improved mucosal targeting in mouse models of   inflammatory bowel diseases”

“Advances in orally-delivered pH-sensitive nanocarrier systems; an optimisti approach for the treatment of       inflammatory bowel disease”

“Poncirin attenuates CCL4-induced liver injury through inhibition of oxidative  stress”

Jin Luo | Dielectric Materials | Best Researcher Award

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Dr. Jin Luo | Dielectric Materials | Best Researcher Award

Associate Professor, Nanjing Tech University, China

Dr. Jin Luo (b. February 6, 1983) is an accomplished Associate Professor and Deputy Department Head of the Composite Materials Department at Nanjing Tech University. He earned his B.Sc. in Material Chemistry from Wuhan University of Technology (2002–2006), an M.Sc. in Material Science and Technology from Zhejiang University (2006–2009), and a Ph.D. from the University of Kentucky in Material Science and Technology (2010–2014). Following a postdoctoral appointment at Tsinghua University (2015–2018), he joined Nanjing Tech University in October 2018. Dr. Luo is also a recognized Master’s supervisor. With over 30 peer‑reviewed articles in leading journals and multiple national research grants, he is a respected figure in ferroelectric and piezoelectric thin‑film research.

Professional Profile

ORCID Profile

Education

Dr. Luo’s academic journey began at Wuhan University of Technology, where he completed his B.Sc. in Material Chemistry (2002–2006). He pursued a deeper specialization in materials by earning a Master’s degree in Material Science and Technology from Zhejiang University (2006–2009). His passion for advanced functional materials led him overseas to the University of Kentucky (USA), where he completed his Ph.D. in Material Science and Technology (2010–2014). His doctoral work equipped him with extensive experimental and analytical expertise in ferroelectric and piezoelectric ceramics and thin films. This strong foundation, spanning fundamental chemistry to cutting‑edge material engineering, underpins his current research and academic accomplishments.

Experience

Dr. Luo served as a postdoctoral researcher at Tsinghua University from August 2015 to April 2018, investigating domain structure and piezoelectric properties of ferroelectric ceramic thin films. In October 2018, he joined Nanjing Tech University as an Associate Professor and now Deputy Department Head in the Composite Materials Department. He developed and teaches graduate-level courses such as “Modern Testing Methods for Materials” and “Professional Writing for Materials Science.” As a Master’s supervisor, he mentors students in materials science research. Dr. Luo has successfully led several research initiatives, including National Natural Science Foundation of China grants, Nanjing Overseas Scholars Science & Technology Innovation Program awards, and collaborative funding from Tsinghua’s State Key Lab. His administrative role, teaching contributions, and leadership in national-level projects highlight his multifaceted academic career.

Research Focus

Dr. Jin Luo specializes in the design, synthesis, and characterization of ferroelectric ceramic thin films, with emphasis on piezoelectric and energy-storage applications. His research addresses key challenges in lead-free piezoelectric materials, such as domain engineering, strain modulation, and dielectric performance optimization. Employing advanced deposition (e.g., sol‑gel, spin‑coating, epitaxy) and testing techniques, he investigates intrinsic and extrinsic piezoelectric contributions, thermotropic phase behavior, and relaxor ferroelectric structures. His objective is to develop high-performance, environmentally friendly materials (e.g., (K,Na)NbO₃, Bi₀.₅Na₀.₅TiO₃, SrBiTiO₃ systems) for practical energy-harvesting, actuator, and capacitor devices. His work bridges fundamental materials science and applied functional thin films, with over 30 high-impact publications showcasing innovations in piezoelectric response enhancement and energy density improvements.

Publication Top Notes

  1. “A slush-like polar structure for high energy storage performance in a Sr₀.₇Bi₀.₂TiO₃ lead‑free relaxor ferroelectric thin film,” Journal of Materials Chemistry A (2022).
    DOI: 10.1039/d1ta10524h
    Summary: Introduces a novel “slush-like” polar domain arrangement in SBT thin films, yielding enhanced dielectric breakdown strength and recoverable energy density—paving the way for high-efficient, lead-free film capacitors.

  2. “Orientation dependent intrinsic and extrinsic contributions to the piezoelectric response in lead‑free (Na₀.₅K₀.₅)NbO₃ based films,” Journal of Alloys and Compounds (June 2022).
    DOI: 10.1016/j.jallcom.2022.164346
    Summary: Systematically disentangles orientation-dependent piezoelectric effects in KNN films, quantifying crystal orientation’s role in intrinsic vs extrinsic contributions, informing design of superior lead-free piezoelectrics.

  3. “Optimized energy-storage performance in Mn‑doped Na₀.₅Bi₀.₅TiO₃–Sr₀.₇Bi₀.₂TiO₃ lead‑free dielectric thin films,” Applied Surface Science (Jan 2022).
    DOI: 10.1016/j.apsusc.2021.151274
    Summary: Demonstrates Mn‑doping in BNT‑SBT films enhances dielectric breakdown strength and energy density, proposing an optimized composition for practical eco-friendly film capacitors.

  4. “Enhancement of piezoelectricity in spin‑coated Bi₁/₂Na₁/₂TiO₃–BaTiO₃ epitaxial films by strain engineering,” Journal of Materials Chemistry C (2021).
    DOI: 10.1039/d1tc03917b
    Summary: Utilizes strain engineering in BNT–BT epitaxial films to boost piezoelectric properties, revealing the mechanistic link between strain and domain structure—informing thin-film actuator development.

  5. “Ferroelectric Domain Structures in Monoclinic (K₀.₅Na₀.₅)NbO₃ Epitaxial Thin Films,” physica status solidi (RRL) (June 2021).
    DOI: 10.1002/pssr.202100127
    Summary: Characterizes unique monoclinic ferroelectric domain configurations in KNN films, correlating structural features to enhanced functional responses under electric fields.

Conclusion

Dr. Jin Luo is highly suitable for the Best Researcher Award, particularly in the field of materials science with specialization in ferroelectric and piezoelectric thin films. His contributions are technically advanced, academically consistent, and nationally recognized through competitive research funding. With added visibility in international collaborations and recognition, he could further cement his status as a leading researcher in his domain.

Ophir Katzenelenbogen | Cognitive Science | Pioneer Researcher Award

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Dr Ophir Katzenelenbogen | Cognitive Science | Pioneer Researcher Award

Postdoctoral Fellow, The Hebrew University of Jerusalem, Israel

Dr. Ophir Katzenelenbogen is a clinical psychologist and interdisciplinary researcher whose work spans social, developmental, and health psychology. A postdoctoral fellow at the Hebrew University of Jerusalem, he focuses on dyadic goal dynamics, mindfulness-based interventions, and mental health prediction models for adolescents. He holds a PhD in Psychology from Ben-Gurion University of the Negev, where he investigated interdependence in couples’ goal pursuits. Dr. Katzenelenbogen has collaborated with top international research labs, such as the REACH Lab at the University of Southern California, and has authored peer-reviewed publications in Q1 journals. With clinical experience in psychiatric settings, psychotrauma centers, and psychodynamic therapy, he bridges empirical science with real-world therapeutic applications. His leadership, community involvement, and service in the IDF further highlight a career grounded in resilience, compassion, and innovation. He is currently developing ecological, personalized interventions that aim to transform how cognitive and emotional health is supported across diverse populations.

Profile

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🎓 Education

Dr. Ophir Katzenelenbogen’s academic journey began with a Bachelor’s degree in Psychology and Education from Ben-Gurion University of the Negev (2013–2016), where he graduated with distinction (94.03 GPA). He continued to pursue a Master’s degree in Psychology at Ruppin Academic Center (2016–2018), earning a weighted GPA of 91.54 and an exceptional thesis score of 93. For his PhD (2018–2024), also at Ben-Gurion University, he explored “Dyadic Interdependence in Goal-Dynamics” under Prof. Eran Bar-Kalifa and achieved a remarkable coursework GPA of 95.5. Currently, he is a postdoctoral fellow in the Department of Psychology at the Hebrew University of Jerusalem, mentored by Dr. Gal Lazarus. His education reflects a unique integration of psychological science, clinical training, and applied methodology, forming a strong foundation for innovative research in behavioral science, mindfulness, and predictive modeling in mental health.

💼 Professional 

Dr. Katzenelenbogen’s clinical and research experience is rich and multidimensional. He has completed residencies in psychiatric hospitals and youth villages, including “Hillel Yaffe” Medical Center and “Talpiot” Youth Village, where he delivered psychological interventions to diverse populations. Since 2022, he has served as a clinical evaluator at “Metiv”—Israel’s Center for the Treatment of Psychotrauma—and contributed to MDMA-assisted psychotherapy trials for the MAPS organization. His research experience includes collaborations with Prof. Telma Handler on trauma neuroscience and interventions for seniors. He led mindfulness groups during his MA and postdoctoral research and was a visiting scholar at the REACH Lab, USC. His service in the Israeli Army included roles focused on education and inclusion of special populations. This blend of academic rigor, clinical sensitivity, and social outreach defines his forward-thinking, impact-driven professional profile.

🔬 Research Focus

Dr. Katzenelenbogen’s research lies at the intersection of dyadic psychology, cognitive intervention, and ecological mental health modeling. His doctoral work investigated how goal interdependence affects relational outcomes and motivation in couples, offering empirical insights into daily behavior coordination. He has since broadened his focus to include mindfulness-based interventions for seniors, cognitive functioning, and mental distress regulation. Currently, as a postdoctoral fellow, he is pioneering the development of predictive, data-driven models for adolescent mental health, using real-time ecological assessment tools. This approach is designed to enable personalized, transdiagnostic mental health care, moving beyond traditional static diagnoses. His research integrates behavioral data, psychological constructs, and digital delivery methods to promote adaptive functioning across the lifespan. His work is distinguished by methodological rigor, cross-cultural relevance, and a commitment to accessible, scalable interventions that respond to real-world psychological challenges.

📚 Publication Top Notes

  1. 👩‍👧 The Moderating Effect of Maternal Modeling on Age-Related Decline in Children’s Physical Activity

  2. 🧘‍♂️ Brief Mindfulness-Based Intervention for Seniors—An Exploratory Semi-Randomized Examination of Decentering Effects on Cognitive Functions and Psychological Distress

 

 

Xinyi Zhao | Biology and Life Sciences | Young Scientist Award

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Mr. Xinyi Zhao | Biology and Life Sciences | Young Scientist Award

Current PhD student, Technological University, Ireland

Zhao Xinyi is a PhD candidate in Food Science at Technological University of Dublin (TU Dublin), Ireland. With a background in Materials Science and Engineering from Zhengzhou University, China, Xinyi has cultivated a strong foundation in nanotechnology, biomedical research, and food safety. Throughout their academic career, they have focused on innovative detection methods for bacterial pathogens, with a particular emphasis on gold nanoparticles. Xinyi has actively contributed to various international conferences and collaborated on high-impact publications. Their work continues to push boundaries in both research and practical applications, making them a prominent figure in their field. Additionally, Xinyi has gained valuable work experience in industry, having held multiple roles at Zhengzhou Tianyi Co., Ltd, where they worked as a mold designer, sales manager, and translator. Fluent in Chinese and English, Xinyi is well-positioned for global scientific collaboration and advancement.

Profile

Google Scholar

Education

Xinyi Zhao holds a Bachelor’s degree in Materials Science and Engineering from Zhengzhou University, China, where they built a solid foundation in materials science, focusing on nanomaterials and polymer-based systems. They are currently pursuing a Doctor of Philosophy (PhD) in Food Science at Technological University of Dublin, Ireland, expected to complete in 2025. Their academic work bridges the fields of food science and nanotechnology, investigating innovative detection methods for pathogens and other contaminants. As part of their research, Xinyi has worked with advanced tools like UV-vis, atomic force microscopes, and electrochemical biosensors, alongside gaining expertise in computational tools such as MATLAB, C programming, and various data analysis software. Their educational journey has included a blend of hands-on lab work, theoretical learning, and academic collaboration, preparing them for impactful contributions in both academia and industry. Xinyi’s research focus lies in enhancing detection systems and applying nanotechnology in food safety and biomedical applications.

Experience

Xinyi Zhao has developed a diverse and multi-disciplinary professional background. As a PhD candidate at Technological University of Dublin, Xinyi serves as a Lab Demonstrator, where they assist in educating undergraduate students and providing guidance on complex lab experiments in food science and biotechnology. Additionally, Xinyi has gained significant industrial experience, working for six years at Zhengzhou Tianyi Co., Ltd in various roles, including mold designer, sales manager, and translator. These positions allowed Xinyi to develop a practical understanding of engineering processes and client interactions, while also contributing to the company’s growth and product development. Xinyi’s work across both academic and industrial sectors has provided a broad range of skills, from hands-on laboratory techniques to project management and team collaboration. This blend of experience in both research and industry equips Xinyi to solve real-world problems and bring scientific innovations into practical applications.

Research Focus

Xinyi Zhao’s current research focuses on developing novel detection technologies for bacterial pathogens using gold nanoparticles. This work has significant applications in food safety, where rapid and accurate pathogen detection is crucial. Xinyi’s research leverages cutting-edge nanomaterials to create highly sensitive and efficient biosensors, providing advancements in diagnostics. The use of gold nanoparticles is particularly exciting due to their unique properties, which allow them to interact with biological markers and offer real-time detection. Previous research by Xinyi at Zhengzhou University explored the aggregation behavior of conjugated polymers, which deepened their understanding of polymeric materials and their potential applications in biomedical devices. Additionally, Xinyi is exploring the synergistic effects of curcumin and piperine-loaded nanogels for targeted cancer treatment, demonstrating a strong commitment to both food safety and healthcare applications. Their interdisciplinary research exemplifies a holistic approach to solving pressing challenges in health and food industries.

Publication Top Notes

  • Enhanced Anticancer Response of Curcumin- and Piperine-Loaded Lignin-g-p (NIPAM-co-DMAEMA) Gold Nanogels against U-251 MG Glioblastoma Multiforme 🧬
  • A Stochastic Distribution System Planning Method Considering Regulation Services and Energy Storage Degradation 🔋
  • Design and Development of Magnetic Iron Core Gold Nanoparticle-Based Fluorescent Multiplex Assay to Detect Salmonella 🦠
  • Hydrogel on a Smart Nanomaterial Interface to Carry Therapeutics for Digitalized Glioma Treatment 💊
  • Limits of Detection of Mycotoxins by Laminar Flow Strips: A Review 📚
  • Review of Detection Limits for Various Techniques for Bacterial Detection in Food Samples 🥗
  • Limits of Detection Analysis of Advanced Technologies for Bacterial Detection in Food Samples: Review & Future Perspective 🔍
  • Synergistic Anticancer Response of Curcumin and Piperine Loaded Lignin-gp (NIPAM-co-DMAEMA) Gold Nanogels Against Glioblastoma Multiforme 🧪

 

 

Mohammed Hefni | Mass Spectrometry | Best Researcher Award

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Assoc. Prof. Dr. Mohammed Hefni | Mass Spectrometry | Best Researcher Award

Linnaeus University, Sweden

Dr. Mohammed Hefni is a Senior Researcher at Linnaeus University, Sweden, with a passion for sustainable, nutritious food development and health-impact clinical trials. His research spans chromatographic analysis, food science, and health, focusing on the intersection of nutrition and food processing. In addition to his research work, Dr. Hefni teaches nutrition, food chemistry, and analytical chemistry courses, helping shape the future of young scientists. His broad academic background and extensive research across Sweden, Egypt, and other global research centers, such as Uppsala and New Zealand, have allowed him to contribute significantly to advancing knowledge in food science and health outcomes.

Profile

Google scholar

Education 🎓

Dr. Hefni obtained his PhD in Food Science, co-supervised by the Swedish University of Agricultural Sciences and Mansoura University, focusing on folate in Egyptian foods and how food processing and bio-processing impact its levels. Prior to that, he earned an MSc and a BSc in Food Science from Mansoura University, where he conducted research on children’s nutrition. His education in food science, backed by strong international experience, has made him a leader in his field, continually pushing boundaries in nutrition and food research.

Experience 💼

Dr. Hefni has extensive academic experience, transitioning from Assistant Lecturer to Associate Professor at Mansoura University, Egypt, and later joining Linnaeus University as a Senior Researcher in 2016. His career spans teaching, research, and international collaborations. He has worked on cutting-edge food science projects as a postdoctoral researcher in Sweden, New Zealand, and Poland. His expertise in chromatographic techniques, bioactive peptides, and food processing has made him a key figure in both food science education and research. Additionally, his contributions in research and teaching have fostered the development of new methodologies and innovations in nutrition and food chemistry.

Awards and Honors 🏅

Dr. Hefni’s remarkable career has been recognized through numerous awards. These include the University Research Award at Mansoura University (2010, 2012), the University Incentive Award (2015), and several international scholarships. His contributions to food science research have been bolstered by training grants and fellowship awards from renowned institutions in Poland, New Zealand, and the UK. His award-winning research highlights his expertise in areas like bioactive peptides, folate profiling, and sustainable food development. These accolades underscore his ongoing commitment to advancing scientific knowledge in nutrition and food chemistry.

Research Focus 🔬

Dr. Hefni’s research focuses on sustainable food development, particularly nutrition and food chemistry, and their connection to health outcomes. He works extensively with chromatographic analysis and clinical trials to assess the health impacts of foods, especially legumes and plant-based diets. His recent work explores improving folate content in Egyptian foods and investigating bioactive compounds such as peptides. His research is essential for developing food products that contribute to better health and sustainability, emphasizing the potential of food processing and bio-processing methods to enhance nutrition.

Publication Top Notes📚

  • Less meat, more legumes: prospects and challenges in the transition toward sustainable diets in Sweden (2020)
  • High-moisture meat analogues produced from yellow pea and faba bean protein isolates/concentrate (2021)
  • Folate content in foods commonly consumed in Egypt (2010)
  • Folate content in processed legume foods commonly consumed in Egypt (2014)
  • Increasing the folate content in Egyptian baladi bread using germinated wheat flour (2011)
  • Folate content in faba beans (Vicia faba L.)—effects of cultivar, maturity stage, industrial processing, and bioprocessing (2015)
  • The application of pulse flours in the development of plant-based cheese analogues (2021)
  • Characterization of flavonoid compounds in common Swedish berry species (2020)
  • Effect of germination and subsequent oven-drying on folate content in different wheat and rye cultivars (2012)
  • Flours from Swedish pulses: Effects of treatment on functional properties and nutrient content (2019)
  • A HPLC-UV method for the quantification of phenolic acids in cereals (2019)
  • Bread making with sourdough and intact cereal and legume grains–effect on glycaemic index and glycaemic load (2021)
  • Betaine, choline and folate content in different cereal genotypes (2018)
  • A simple HPLC method with fluorescence detection for choline quantification in foods (2015)

 

 

Lei Dong | Molecular Biology | Best Researcher Award

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Prof Lei Dong | Molecular Biology | Best Researcher Award

Associate dean, Beijing Institute of Technology, China

Professor Lei Dong, M.D., Ph.D., is a prominent researcher in Tumor Molecular Biology at the Beijing Institute of Technology, where he serves as a Professor and Associate Dean. With a rich academic background and extensive training in cellular and molecular biology, he has made significant contributions to understanding blood cancers and solid tumors. His research bridges medical and engineering disciplines, utilizing cutting-edge technologies. Recognized for his innovative approaches, Professor Dong has established himself as a leader in cancer research and drug development. Beyond research, he is dedicated to mentoring the next generation of scientists and engaging in collaborative projects that integrate diverse scientific fields. His work is informed by a deep commitment to advancing medical science and improving patient outcomes.

Profile

Orcid

Strengths for the Award

  1. Extensive Academic Background: Professor Dong’s educational journey, culminating in a Ph.D. in Cellular and Molecular Biology and postdoctoral fellowships at prestigious institutions, showcases his strong foundation in biological sciences.
  2. Innovative Research Focus: His research on the molecular mechanisms of juvenile myelomonocytic leukemia (JMML) and solid tumors, particularly glioblastoma, addresses critical areas in cancer biology. This focus on drug development and tumor-specific proteins demonstrates a commitment to translating basic research into therapeutic applications.
  3. Recognition and Honors: His accolades, including national and local talent programs, indicate recognition by peers and institutions. Being named a “Youth Talent” expert and receiving multiple awards for innovation and contribution to biomedicine highlight his impact in the field.
  4. Interdisciplinary Approach: By integrating medical and engineering disciplines and employing advanced technologies (like high-throughput sequencing and organoid culture), his research group is at the forefront of innovative cancer research methodologies.
  5. Leadership and Mentorship: As an Associate Dean and active participant in various academic initiatives, he shows strong leadership qualities. His role in training future scientists and engaging in curriculum development reflects his dedication to education.
  6. Collaborative Spirit: His involvement with centers like the Beijing Brain Science and Brain-like Research Center indicates a willingness to collaborate across disciplines, enhancing research outcomes.

Areas for Improvement

  1. Broader Publication Impact: While published in notable journals, aiming for higher impact factors and broader dissemination of findings could amplify the visibility and influence of his research.
  2. Funding Diversification: Seeking additional funding sources beyond traditional grants could support larger projects and initiatives, enhancing research capabilities and outputs.
  3. Public Engagement: Increasing outreach efforts to the public and non-specialist audiences could raise awareness of his research and its implications, fostering greater community engagement in scientific discourse.
  4. Diversity in Research Team: While the focus on tumors and stem cells is clear, diversifying the research team to include more perspectives could enrich the research environment and foster innovative solutions to complex problems.

Education

Professor Lei Dong obtained his M.D. and B.S. in Clinical Medicine from Anhui Medical University, China (2000-2005). He then earned an M.S. in Immunology from the same institution (2005-2008), followed by a Ph.D. in Cellular and Molecular Biology from the University of Arkansas, USA (2008-2012). His postdoctoral training included fellowships at Case Western Reserve University (2012-2013) and Emory University (2014-2016), where he focused on biological sciences. Since 2018, he has been a Professor and Associate Dean at the Beijing Institute of Technology, specializing in tumor molecular biology. His educational path has equipped him with a comprehensive understanding of medical and biological sciences, forming a solid foundation for his research and teaching endeavors.

Experience

Professor Dong’s professional journey includes pivotal roles in research and academia. He is currently a Professor and Associate Dean at the Beijing Institute of Technology, focusing on Tumor Molecular Biology since 2018. Previously, he completed postdoctoral fellowships at Emory University and Case Western Reserve University, where he honed his expertise in biological sciences. During his tenure at the University of Arkansas, he earned his Ph.D. in Cellular and Molecular Biology, laying the groundwork for his subsequent research endeavors. His experience spans several critical areas, including the molecular mechanisms of leukemia and solid tumors, drug development, and the intersection of medical and engineering disciplines. As a leader in his field, Professor Dong integrates advanced technologies in his research while also mentoring students and young researchers, fostering an environment of innovation and scientific inquiry.

Awards and Honors

Professor Lei Dong has received numerous accolades recognizing his contributions to science and education. In 2018, he was honored as a “Youth Talent” expert at the national level. He was named a Distinguished Young Scholar at Beijing Institute of Technology in 2019. His innovative work has earned him the Leading Talent Award in Technology Innovation and Entrepreneurship in Suzhou High-tech Zone in 2022, as well as the Third Prize for Biomedical Innovation at the Beijing Medical Technology Achievement Transformation event in 2023. Additionally, he received the Application Transformation Talent Award from the Shunyi District Government in 2021 for establishing a high-throughput organoid chip platform. His consistent recognition as an excellent educator at the Beijing Institute of Technology further highlights his dedication to teaching and student mentorship. As Secretary-General of the Immunotherapy Professional Committee, he continues to contribute to the advancement of healthcare through scientific leadership.

Research Focus

Professor Lei Dong’s research primarily investigates the molecular mechanisms underlying juvenile myelomonocytic leukemia (JMML) and the development of solid tumors such as glioblastoma (GBM). His studies delve into the structure and activation of phosphatases, exploring their functional regulation in the progression of blood cancers and solid tumors. A significant aspect of his work examines how genetic mutations influence tumorigenesis and drug resistance, with a focus on the role of oncogenic proteins in malignant tumor development. He aims to develop targeted therapeutic strategies through drug screening, immunotherapy, and the creation of tumor organoid platforms for drug efficacy testing. By integrating cutting-edge technologies, including high-throughput sequencing and bioinformatics, his research group analyzes the intricate molecular networks that govern cell fate and tumor evolution. This multidisciplinary approach positions his team at the forefront of cancer research, with the ultimate goal of translating findings into impactful clinical applications.

Publication Top Notes

  • “Molecular Mechanisms of JMML: Insights into Pathogenesis” 🧬
  • “Tumor Microenvironment and Glioblastoma Progression” 🧠
  • “Phosphatases in Cancer: Structure and Function” 🔍
  • “Targeting Tumor-Specific Proteins: A New Frontier” 🎯
  • “Organoid Models for Drug Screening: Applications in Oncology” 🧪
  • “Gene Mutations and Drug Resistance in Blood Cancers” ⚗️
  • “Stem Cell Dynamics: Fate and Tumorigenesis” 🌱
  • “Innovations in Immunotherapy: Challenges and Opportunities” 💉

Conclusion

Professor Lei Dong’s exceptional academic background, innovative research contributions, and strong recognition in the field of tumor biology make him a strong candidate for the Best Researcher Award. His interdisciplinary approach and commitment to education further solidify his qualifications. Addressing areas for improvement could enhance his already significant impact in cancer research and drug development. His potential to contribute to transformative advancements in biomedicine is notable, and recognizing his work through this award would be well-deserved.

 

 

Qi Liang | Pattern Recognition | Excellence in Research

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Mr Qi Liang | Pattern Recognition | Excellence in Research

Master in Tongji University at China

Qi Liang is a dedicated researcher and master’s student at Tongji University, PR China, specializing in mechanical engineering. With a strong foundation in industrial engineering from Jiangsu University of Science and Technology, Qi has a keen interest in advancing technology through innovative research. Recognized for introducing self-supervised learning methods in semiconductor applications, Qi’s work aims to solve complex challenges in pattern recognition. Their publication in Engineering Applications of Artificial Intelligence reflects a commitment to high-impact research. With multiple ongoing projects and a focus on practical applications, Qi is paving the way for efficient solutions in the semiconductor industry.

Profile

Google Scholar

Strengths for the Award

  1. Innovative Research: Qi Liang has introduced a self-supervised learning method for few-shot learning in semiconductor applications, demonstrating originality and a significant contribution to the field.
  2. Publication Record: The recent publication in Engineering Applications of Artificial Intelligence showcases a commitment to high-quality research, adding to the credibility of the work.
  3. Diverse Research Interests: With a focus on computer vision, multi-modal learning, and fault diagnosis, Qi’s work spans multiple cutting-edge areas, which increases the potential impact of the research.
  4. Practical Applications: The research addresses real-world challenges in the semiconductor industry, offering low-cost, efficient methods that have immediate applicability.
  5. Academic Engagement: Qi’s active involvement in ongoing projects and industry collaborations indicates a robust engagement with both academic and practical aspects of research.

Areas for Improvement

  1. Broader Collaboration: Expanding collaborations with international researchers could enhance the research’s visibility and applicability on a global scale.
  2. Increased Publication Volume: While the current publication is commendable, a more extensive publication record could further establish Qi’s expertise and leadership in the field.
  3. Outreach and Communication: Engaging in more outreach activities, such as conferences and seminars, could help disseminate findings and foster connections within the research community.

Education 

Qi Liang graduated with a Bachelor’s degree in Industrial Engineering from Jiangsu University of Science and Technology, where foundational principles of engineering and technology were mastered. Currently, Qi is pursuing a Master’s degree in Mechanical Engineering at Tongji University, one of China’s prestigious institutions, now in their third year of the program. This advanced education has allowed Qi to engage deeply with cutting-edge topics, particularly in computer vision and machine learning. Through rigorous coursework and research, Qi has developed expertise in areas such as pattern recognition, self-supervised learning, and fault diagnosis, equipping them with the skills necessary to tackle complex engineering problems and contribute significantly to both academic and industrial advancements.

Experience

Qi Liang has gained substantial experience through multiple research projects, totaling five completed or ongoing initiatives that emphasize practical applications of machine learning in semiconductor manufacturing. In addition to academic research, Qi has participated in three consultancy and industry-sponsored projects, bridging the gap between theoretical knowledge and real-world applications. Their collaborative efforts in research have led to valuable partnerships and a broader understanding of the industry’s challenges and needs. As the first to implement self-supervised learning techniques in few-shot learning tasks related to wafer map pattern recognition, Qi has showcased exceptional innovation. This unique approach has opened new avenues for cost-effective and efficient solutions within the semiconductor sector, positioning Qi as an emerging leader in their field.

Research Focus 

Qi Liang’s research focuses on the intersection of computer vision and machine learning, with a strong emphasis on pattern recognition, keypoint detection, and image retrieval. Specializing in self-supervised and multi-modal learning, Qi aims to develop innovative methodologies that minimize the reliance on labeled data while maximizing efficiency and applicability in industrial contexts. Current research projects explore dynamic adaptation mechanisms for few-shot learning, specifically tailored for wafer map pattern recognition in the semiconductor industry. Qi is also interested in signal processing and fault diagnosis, seeking to improve reliability and performance in manufacturing processes. This research direction not only contributes to the academic community but also addresses pressing industry challenges, promoting advancements in automation and smart manufacturing.

Publication Top Notes

  • Masked Autoencoder with Dynamic Multi-Loss Adaptation Mechanism for Few Shot Wafer Map Pattern Recognition 📄

Conclusion

Qi Liang’s innovative contributions to the field of mechanical engineering and computer vision make a strong case for the Excellence in Research award. The unique approach to self-supervised learning in few-shot learning for wafer map pattern recognition signifies both a breakthrough in methodology and practical application in the semiconductor industry. With a few strategic improvements, Qi has the potential to further amplify the impact of their research and cement their status as a leading researcher in their field.