Siyao Li | Chemical Engineering | Best Researcher Award

Ms. Siyao Li | Chemical Engineering | Best Researcher Award

Professor at East China University of Science and Technology, China

Siyao Li is a distinguished chemical engineer with a focus on membrane technology, materials science, and liquid/gas separations. Holding a PhD from Imperial College London (2022) under the mentorship of Andrew Livingston and Suzana P. Nunes, he is currently an Associate Professor at East China University of Science and Technology. His research spans ultrathin polyamide membranes, polymeric materials for separation processes, and the development of sustainable technologies for environmental and industrial applications. His work has been published in top journals such as Science and Nature. 🌱πŸ§ͺ

Publication Profile :Β 

Scopus

Orcid

Educational Background πŸŽ“

πŸŽ“ PhD in Chemical Engineering | Imperial College London, UK (2018-2022)
Advisor: Prof. Andrew Livingston | Mentor: Prof. Suzana P. Nunes
Project: Investigation of Ultrathin Polyamide Nanofilms Incorporating Novel Amines for Liquid Separations

πŸŽ“ MSc in Advanced Chemical Engineering | Imperial College London, UK (2017-2018)
Advisor: Prof. Bradley Ladewig
Project: Covalent Organic Frameworks as Low-Energy CO2 Adsorbents for Mixed Matrix Membranes

πŸŽ“ BEng in Chemical Engineering and Technology | Tianjin University, China (2013-2017)
GPA: 3.82/4 | Ranking: Top 4%

Professional Experience πŸ’Ό

πŸ”¬ East China University of Science and Technology β€” Professor (2024-Present)
πŸ”¬ East China University of Science and Technology β€” Associate Professor (2023-2024)
πŸ”¬ Exponent Science and Technology Consulting Co. Ltd β€” Associate (2022-2023)
πŸ§‘β€πŸ« Imperial College London β€” Teaching Assistant (2019-2021)
πŸ’Ό Exxon Mobil Corporation β€” Summer Intern (2017)
πŸ’¨ Vestas Wind Systems A/S β€” Intern (2017)

Research Interests πŸ”¬

πŸ”¬ Polymeric Membranes for Separations: Development of hydrophobic polyamide membranes for crude oil separation and novel molecular sieving techniques.
πŸ’‘ Nanotechnology & Material Science: Synthesis of advanced materials like covalent organic frameworks (COFs) and integration into mixed matrix membranes for enhanced gas and liquid separations.
🌍 Sustainable Separation Technologies: Focus on low-energy, high-efficiency methods for CO2 capture and energy-efficient separation processes.

Awards & Honors πŸ†

πŸ† Full PhD Scholarship (2018-2022) | Excellent Graduate of Imperial College London (2017) | Excellent Student Awards (Top 5%) for 3 years (2014-2016)

Publications πŸ“š

  1. S. Li, R. Dong, V. E. Musteata, J. Kim, N. D. Rangnekar, J. R. Johnson, S. Chisca, B. A. McCool, S. P. Nunes, Z. Jiang*, A. G. Livingston*, “Hydrophobic Polyamide Nanofilms Provide Rapid Transport for Crude Oil Separation,” Science, 2022, 377, 1555-1561.

  2. S. Li, N. Prasetya, B. Ladewig*, “Investigation of Azo-COP-2 as a Photoresponsive Low-Energy CO2 Adsorbent and Porous Filler in Mixed Matrix Membranes for CO2/N2 Separation,” Ind. Eng. Chem. Res., 2019, 58(23), 9959-9969.

  3. Z. Jiang, R. Dong, A. M. Evans, N. Biere, M. A. Ebrahim, S. Li, D. Anselmetti, W. R. Dichtel, A. G. Livingston*, “Aligned Macrocycle Pores in Ultrathin Films for Accurate Molecular Sieving,” Nature, 2022, 609, 58-64.

  4. W. Xu, Y. Wang*, Y. Wu, F. Xu, K. Qu, L. Dai, J. Wang, J. Wu, L. Lei, S. Li, Z. Xu*, “Sub-2-nm Channels within Covalent Triazine Framework Enable Fast Proton-Selective Transport in Flow Battery Membrane,” Adv. Func. Mater., 2023, 2300138.

  5. L. Dai, S. Pang, S. Li, Z. Yi, K. Qu, Y. Wang, Y. Wu, S. Li, L. Lei, K. Huang, X. Guo, Z. Xu*, “Freestanding Two-Dimensional Nanofluidic Membranes Modulated by Zwitterionic Polyelectrolyte for Mono-/Di-Valent Ion Selectivity Transport,” J. Membr. Sci., 2023, 677: 121321.

 

 

 

Won Jun Chung | Urban Design | Best Researcher Award

Prof. Won Jun Chung | Urban Design | Best Researcher Award

Professor at Tongmyong University, South Korea

Dr. Won Jun Chung is a seasoned professor and researcher in visual communication design with extensive experience in both academia and industry. He holds a Ph.D. in Art Engineering and has published numerous high-impact journal articles in SCI and Scopus-indexed journals, focusing on innovative topics such as urban design, 3D advertising, augmented reality, and human-machine interfaces. He actively contributes to various professional bodies, including the Korean Communication Design Association and the Korea Design Promotion Agency. His work bridges design, technology, and society, making a lasting impact on visual communication and environmental design. 🌟

Publication Profile :Β 

Scopus

Educational Background πŸŽ“

πŸŽ“ Ph.D. in Art Engineering from Kyushu University of Art and Design, Japan
πŸŽ“ MFA in 3D CG from Kyushu Sangyo University Graduate School, Japan
πŸŽ“ BA in Visual Design from Pukyong National University, South Korea

Professional Experience πŸ’Ό

πŸ’Ό Professor at Tongmyong University (1997–Present), specializing in visual design and communication
πŸ‘¨β€πŸ« Part-time Lecturer at Kyushu University of Art and Design (1995–1997)
πŸ’Ό 3D CG Researcher at ACG North Japan (1994)
πŸ’Ό Design Development Division at Daewoo Corporation (1990–1994)

Research Interests πŸ”¬

🌍 Urban Design & Environmental Design
πŸ’» Information Design
🎨 3D CG & Augmented Reality in Design
🧠 Human-Machine Interface & Communication Technologies

Publications πŸ“š

1. Chung, Wonjun: The Current Status of the Public Sign System Centering on the Busan Station – The Problems about Methods from a Professional Perspective. Bulletin of Japanese Society for Science of Design, Vol. 57, No. 2, pp. [page range], October 2010. (Non-SCI)


2. Zou, Baijing, Jin, Songwen, Chung, Wonjun: Design and Effect of 3D Advertising Based on Augmented Reality. EI (Paper Asia), Vol. 1, No. 8, pp. [page range], 2018. (Scopus)


3. Bai, Ruofu, Chung, Wonjun: Color Aesthetics in Modern Visual Arts. Hermathena, Trinity College Dublin, pp. [page range], November 2018. (A&HCI)


4. Zhao, Xiangwu, Chung, Wonjun: A Study on the Typeface Design of Record Packaging in the Period of the Republic of China. BCPT, Wiley-Blackwell, Vol. 126, pp. [page range], January 2020. (SCI)


5. Hao, Lei, Chung, Wonjun: Human-Machine Interface Visual Communication Design Based on Collaborative Wireless Communication Video Transmission. Journal of Sensors, Hindawi, Article ID 5348222, pp. [page range], January 2022. (SCI)


6. Ma, Cong, Chung, Wonjun: Visual Communication Design Based on Collaborative Wireless Communication Video Transmission. Journal of Sensors, Hindawi, Article ID 5348222, pp. [page range], January 2022. (SCI)


7. Wang, Yue, Chung, Wonjun: Font Design in Visual Communication Design of Genetic Algorithm. Emergency Medicine International, Hindawi, pp. [page range], June 2022. (SCI)


8. Yu, Ling, Chung, Wonjun: Analysis of Material and Craft Aesthetics Characteristics of Arts and Crafts Works Based on Computer Vision. Journal of Experimental Nanoscience, Vol. 18, No. 1, pp. 2174693, February 2023. [DOI: 10.1080/17458080.2023.2174693]. (SCI)


9. Zhu, Zhenxing, Chung, Wonjun: Enhancing Shoppers’ Experiences and Building Mall Loyalty: The Role of Octomodal Mental Imagery (OMI) and Management Dimension – Evidence from the Yangtze River Delta Region of China. Sustainability, 15, 11412, pp. [page range], July 2023. [DOI: 10.3390/su151411412]. (SCI)


10. Zhu, Peng, Chung, Wonjun: Designing the Presentation of Dunhuang Fresco Art Based on Perceptron Technology in the Context of Artificial Intelligence. UP4, Institute of Sciences, S.L., ISSN 2444-8656, pp. [page range], February 2023. (SCI)


11. Cui, Xiao Dong, Chung, Wonjun: Interior Design of Aging Housing Based on Smart Home System of IoT Sensor. Journal of Sensors, Hindawi, Article ID 9281248, pp. [page range], February 2023. (SCI)


12. Zhu, Peng, Chung, Wonjun: Designing the Presentation of Dunhuang Fresco Art Based on Perceptron Technology in the Context of Artificial Intelligence. Applied Mathematics and Nonlinear Sciences, January 2024. (SCI)


13. Yang, Shang Kui, Chung, Wonjun, Yang, Fan: Analyzing the Packaging Design Evaluation Based on Image Emotion Perception Computing. Heliyon, 10, pp. [page range], May 2024. (SCI)


14. Zhang, LongHui, Chung, Wonjun: Research on the Optimization of Calligraphic Font Design Supported by Bionic Algorithm. Journal of Electrical Systems, 20-10s, pp. 718-732, October 2024. (SCI)


 

 

 

Prabhjyoti Pahwa | Immunology | Best Researcher Award

Ms. Prabhjyoti Pahwa | Immunology | Best Researcher Award

Ph.D. Student at Institute of Liver and Biliary Sciences, India

Prabhjyoti Pahwa is a dedicated Ph.D. scholar at the Institute of Liver and Biliary Sciences, New Delhi, with a focus on immunology and liver diseases. Her work spans a wide range of research areas, from viral infections to immune-metabolic responses in liver disease pathogenesis. She has actively contributed to multiple peer-reviewed publications in leading journals, particularly exploring immune alterations in diseases like Hepatitis E and B, as well as in COVID-19 during pregnancy. As a researcher, she combines a strong technical skillset in molecular biology and cell biology with a passion for understanding the immune system’s role in liver diseases. Prabhjyoti is committed to advancing the field of hepatology through innovative research, with a vision to improve maternal and fetal health outcomes in viral infections.

Publication Profile :Β 

Scopus

Educational Background πŸŽ“

  • Ph.D. (2022 – Present)
    Institute of Liver and Biliary Sciences, New Delhi
  • Junior Research Fellow (2020 – 2022)
    Institute of Liver and Biliary Sciences, New Delhi
  • M.Sc. in Biotechnology (2017 – 2019)
    Panjab University, Chandigarh
    GPA: 3.45 (86.24%)
  • B.Sc. in Zoology (Hons.) (2014 – 2017)
    Zakir Husain Delhi College, University of Delhi
    GPA: 3.199 (79.99%)
  • Intermediate (Class 12, 2014)
    RPVV Raj Niwas Marg, Delhi
    80.04%
  • Matriculation (Class 10, 2012)
    B.M. Ganges Girls’ Senior Secondary School, Delhi
    CGPA: 8.2

Professional Experience πŸ’Ό

Prabhjyoti Pahwa is currently a Junior Research Fellow and Ph.D. Scholar at the Institute of Liver and Biliary Sciences (ILBS), New Delhi, where she has been conducting cutting-edge research on hepatology and immunology since 2020. Her research focuses on Hepatitis E Virus (HEV) infection during pregnancy and its severe maternal and fetal outcomes, as well as the immune-metabolic shifts in various liver diseases, including Hepatitis B and C. Throughout her research career, she has worked under the mentorship of Prof. Nirupama Trehanpati and collaborated with prominent researchers in the field of liver diseases. Previously, she was a Master’s student at Panjab University, Chandigarh, where she gained practical experience in biotechnology, cell biology, and molecular techniques. She has also worked on several collaborative projects, contributing to a diverse range of research topics, from lipase-producing bacteria to biosensors for pesticide detection.

Research Interests πŸ”¬

Prabhjyoti’s primary research interests include:

  • Hepatitis E virus (HEV) and its impact during pregnancy
  • Immuno-metabolic shifts in liver diseases, especially in pregnant women with viral infections
  • The role of T cells, natural killer cells, and cytokines in the progression of liver diseases like hepatitis B
  • Single-cell RNA sequencing for exploring immune responses in chronic viral infections
  • Investigating metabolomic alterations and their correlation with disease severity in liver diseases and SARS-CoV-2 infections during pregnancy.

Publications πŸ“š

  1. Prabhjyoti Pahwa, Deepti Sharma*, Pushpa Yadav, Sherin Sarah Thomas, Sandhya Hora, Preedia Babu E., Gayatri Ramakrishna, Shiv Kumar Sarin*, Nirupama Trehanpati*.
    Prognostic role of serum VEGF and HGF post SBRT in advanced hepatocellular carcinoma.
    Journal of Clinical and Experimental Hepatology, 2024 (Accepted in October 2024).


  2. Anoushka Saxena, Minal, Prabhjyoti Pahwa, Jaswinder Singh Maras, Hamda Siddiqui, Jayesh Kumar Sevak, Y.M. Mala, Shakun Tyagi, Shiv Kumar Sarin, Nirupama Trehanpati.
    Immuno-metabolic shifts in acute liver failure caused by hepatitis E virus infection during pregnancy and their association with obstetric outcomes.
    Hepatology Communication, 2024 (Accepted in October 2024).


  3. Prabhjyoti Pahwa, Ashish Kumar Vyas, Jayesh Kumar Sevak, Ravinder Singh, Jaswinder Singh Maras, Sharda Patra, Shiv K Sarin, Nirupama Trehanpati*.
    Modulation of CD8+ T cells, natural killer cells and Th1 cytokines by metabolic milieu in decline of HBV viremia in pregnant women treated with Tenofovir disoproxil from second trimester of pregnancy.
    Journal of Reproductive Immunology, 2024, Volume 162.


  4. Sandhya Hora$, Prabhjyoti Pahwa$, Hamda Siddiqui, Anoushka Saxena, Minal Kashyap, Jayesh Kumar Sevak, Ravinder Singh, Maryam Javed, Pushpa Yadav, Pratibha Kale, Gayatri Ramakrishna, Meenu Bajpai, Asmita Rathore, Jaswinder Singh Maras, Shakun Tyagi*, Shiv Kumar Sarin*, Nirupama Trehanpati*.
    Metabolic alterations unravel the materno–fetal immune responses with disease severity in pregnant women infected with SARS-CoV-2.
    Journal of Medical Virology, December 2023, Volume 95, Issue 12.
    DOI: 10.1002/jmv.29257.


  5. Prabhjyoti Pahwa1, Ravinder Singh1, Partha Chattopadhyay2, Priyanka Mehta2, Sharda Patra3, Rajesh Pandey2, Shakun Tyagi4, Shiv Kumar Sarin5*, Nirupama Trehanpati1*.
    Single cell RNA sequencing reveals exhausted adaptive immunity in utero to HBV exposed neonates born to mothers with high HBsAg titres persisting despite vaccination.
    Hepatology, AASLD 2024, Poster of Distinction.


  6. Prabhjyoti Pahwa, Fatima Ali, Ashish Kumar Vyas, Sharda Patra, Shiv K Sarin, Nirupama Trehanpati*.
    Decline in viral load induces CD8+ T cells, natural killer cells and Th1 cytokine profile in chronic hepatitis B infected pregnant women treated with Tenofovir disoproxil from second trimester.
    Oral Presentation, AASLD 2022.


  7. Anoushka Saxena, Hamda Siddiqui, Jayesh Kumar Sevak, Minal, Prabhjyoti Pahwa, Fatima Ali, Shakun Tyagi, Shiv Kumar Sarin, Nirupama Trehanpati*.
    IL-7 induced CD4+ Memory stem T cell-derived pro-inflammatory cytokine storm plays a role in hepatitis E induced pathogenesis in pregnant women.
    AASLD 2022.


  8. Anoushka Saxena, Minal Kashyap, Prabhjyoti Pahwa, Fatima Ali, Hamda Siddiqui, Preedia Babu E., Y.M. Mala, Shakun Tyagi, Nirupama Trehanpati.
    Elevated serum bilirubin levels and aminotransferases are associated with immuno-modulatory and suppressive subsets in pregnant females with intrahepatic cholestasis and hepatitis E virus infection.
    EASL 2022.


  9. Anoushka Saxena, Prabhjyoti Pahwa, Hamda Siddiqui, Jaswinder Singh Maras, Rashi Sehgal, Sharda Patra, Shiv Kumar Sarin, Nirupama Trehanpati.
    The metabolome profiling of patients infected with hepatitis E virus unravels the role of Nicotinate and Nicotinamide pathway and D-glutamine and glutamate metabolism in the development of Acute Liver Failure.
    AASLD 2021.


  10. Prabhjyoti Pahwa, Hamda Siddiqui, Fatima Ali, Jayesh Kumar Sevak, Archana Rastogi, Sakshi Aggarwal, Shakun Tyagi, Nirupama Trehanpati, Asmita Rathore.
    Rise in pro- and anti-inflammatory cytokines in asymptomatic and mild COVID-19 pregnant patients than moderate to severe patients.
    AOGD 2021.


 

 

 

Prof. Dr. Havard Jenssen | Peptide | Excellence in Research

Prof. Dr. Havard Jenssen | Peptide | Excellence in Research

Roskilde university | Denmark

Author Profile

Scopus

OrcidΒ 

πŸ”¬Biography: Prof. Dr. Havard Jenssen 🧬✨

Expert in Antimicrobial Peptide Chemistry and Drug Development

Prof. Dr. HΓ₯vard Jenssen is a distinguished scientist and educator specializing in antimicrobial peptide chemistry, virology, and statistical analysis. With a career spanning multiple countries and institutions, he has contributed significantly to the development of innovative antimicrobial therapies and biofilm prevention strategies.

πŸ“šEducation

  • B.Sc. in Biochemistry, Oslo College of Engineering (1994–1997)
  • C.E. in Biotechnology, University of TromsΓΈ (1997–1999)
  • Dr.Sc. in Peptide Chemistry, Virology, and Statistical Analysis, University of TromsΓΈ (2003–2004)
    • Doctoral degree awarded on February 7, 2005

πŸŽ“Continuing Education✨

  • Qualified as Associate Professor through RUC’s Assistant Professorship Program (2009)
  • Specialized in Course Pedagogy, ICT and Teaching, and Project Supervision (2010)
  • Training in Teaching in English as an International Language (2011)
  • Completed Project Leader – Organization and Leadership Training (2014)

πŸ›οΈProfessional Appointments

  • Associate Professor (Adjunct), University of Oslo (2024–Present)
  • Professor, Dept. of Science, Systems & Models, Roskilde University, Denmark (2017–Present)
  • Associate Professor, Roskilde University, Denmark (2009–2017)
  • Research Associate, CMDR, University of British Columbia, Canada (2008–2009)
  • Postdoctoral Fellow, CMDR, University of British Columbia, Canada (2005–2007)
  • Research Associate, Dept. of Microbiology, University Hospital of North Norway (2000–2002)

🌍Research ContributionsπŸ§ͺ

Prof. Jenssen has made groundbreaking advances in the field of antimicrobial drug development, notably through projects supported by significant funding, such as:

  • A collaboration with Alpharma and University of TromsΓΈ with an annual budget of 15 million NOK.
  • Research efforts that contributed to total funding exceeding $25 million USD.

πŸ’‘Patents🧬

  1. PTC/US14/52993 – UBC invention disclosure: β€œAnti-biofilm peptides”.
  2. WO 2010/139048 A1Human Milk Peptides (Friel K.J. et al., 12/09/2010).

🌟Impact and Leadership

Prof. Jenssen is highly regarded for his expertise in antimicrobial peptides, their applications in combating drug-resistant infections, and his dedication to teaching and mentoring the next generation of scientists.

✨Conclusion:

  • In conclusion, Prof. Dr. HΓ₯vard Jenssen is a prominent figure in the fields of antimicrobial peptide chemistry and drug development. His extensive education, research experience, and leadership in both academia and industry have led to significant contributions to the development of new antimicrobial therapies. Prof. Jenssen’s innovative work, including patented anti-biofilm peptides and human milk peptides, underscores his commitment to advancing scientific knowledge and tackling global health challenges. His dedication to teaching and mentoring also ensures that his expertise will continue to shape the future of science and technology in antimicrobial research.

     

πŸ“ŠπŸ”¬NOTABLE PUBLICATION:

  1. Title: Real-Time Monitoring of Multitarget Antimicrobial Mechanisms of Peptoids Using Label-Free Imaging with Optical Diffraction Tomography
    • Authors: Kim, M., Cheon, Y., Shin, D., Lee, S., Seo, J.
    • Journal: Advanced Science
    • Year: 2023

 

  1. Title: Membrane-acting Biomimetic Peptoids against Visceral Leishmaniasis
    • Authors: Kumar, V., Lin, J.S., Molchanova, N., Barron, A.E., Chugh, A.
    • Journal: FEBS Open Bio
    • Year: 2023

 

  1. Title: MIMS as a Low-Impact Tool to Identify Pathogens in Water
    • Authors: Sajid, S., Aryal, I., Chaudhri, S.F., Jenssen, H., Prabhala, B.K.
    • Journal: Water (Switzerland)
    • Year: 2023

 

  1. Title: Pre-existing, Treatment-Specific Resistance-Associated Substitutions in Hepatitis C Virus Genotype 1 and 3 and Viral RNA Titers During Treatment with Direct-Acting Antivirals
    • Authors: SΓΈlund, C., Pedersen, M.S., FahnΓΈe, U., SchΓΈnning, K., Bukh, J.
    • Journal: APMIS
    • Year: 2023

 

  1. Title: The Activity of Antimicrobial Peptoids Against Multidrug-Resistant Ocular Pathogens
    • Authors: Sara, M., Yasir, M., Kalaiselvan, P., Barron, A.E., Willcox, M.
    • Journal: Contact Lens and Anterior Eye
    • Year: 2024

DIANAH BINTI MAZLAN | Civil Engineering | Best Researcher Award

Dr. DIANAH BINTI MAZLAN | Civil Engineering | Best Researcher Award

Dr. DIANAH BINTI MAZLAN, Universiti Sains Malaysia, Malaysia

Dr. Dianah Binti Mazlan is a renowned researcher at Universiti Sains Malaysia, Malaysia. Her research expertise spans materials science, nanotechnology, and energy storage, with a focus on developing innovative solutions for sustainable energy applications. Dr. Mazlan’s work has significant implications for addressing global energy challenges, and her contributions have been recognized through various publications and awards.

Profile

Scopus

Google Scholar

Educational QualificationπŸ“š

Dr. Dianah Binti Mazlan’s academic journey began with a strong foundation in civil engineering. She pursued her undergraduate studies at Universiti Teknologi Malaysia (UTM), where she developed a deep understanding of civil engineering principles. She then went on to earn her master’s degree in civil engineering from UTM, specializing in fiber-reinforced concrete. Dr. Mazlan furthered her education by pursuing a Ph.D. in civil engineering from UTM, focusing on sustainable building materials and RC design.

Professional Experience πŸ’Ό

Dr. Mazlan is a highly qualified and accomplished professional with a Ph.D. in civil engineering. She is currently serving as a senior lecturer at Universiti Sains Malaysia (USM). Throughout her career as a researcher and academician, Dr. Mazlan has demonstrated exceptional analytical skills and a strong capacity for independent research.

Contributions and Research Focus 🌿

Dr. Mazlan’s research focus is on sustainable development goals (SDGs), cellulosic nano materials, construction waste management, fiber-reinforced concrete, green energy, and zero-energy buildings. Her work has significant implications for addressing global environmental challenges, and her contributions have been recognized through various publications and awards.

Accolades and Recognition πŸ†

Dr. Mazlan’s outstanding contributions have been recognized through various awards and honors, including:

Scholarship awardee by AUN/SEED-Net (Sandwich Program between UTM and Waseda University, Japan) for her Ph.D. studies
Scholarship awardee by UTM Zamalah for her master’s studies
Scholarship awardee by Majlis Amanah Rakyat (MARA) for her undergraduate studies
Recipient of several awards for her research and academic excellence, including best paper awards and outstanding researcher awards

These accolades and recognition demonstrate Dr. Mazlan’s commitment to excellence in her field and her dedication to advancing knowledge and innovation in sustainable development and environmental sustainability.

Impact and Influence 🌎

Dr. Mazlan’s research has significant implications for addressing global environmental challenges. Her work on sustainable building materials, construction waste management, and green energy has the potential to reduce carbon footprint, promote sustainable development, and improve environmental sustainability.

Legacy and Future Contributions 🌟

Dr. Mazlan’s legacy will continue to shape the future of sustainable development and environmental sustainability. Her ongoing research focuses on developing innovative solutions for sustainable construction practices, reducing waste, and promoting green energy. Her future contributions are expected to have a significant impact on promoting sustainable development and addressing global environmental challenges.

Publication Top Notes πŸ“

Difference in dynamic direct tensile failure mechanism between homogeneous mortar and three-dimensional mesoscopic concrete based on the split Hopkinson tension bar

Author: He, J., Mazlan, D., Abu Bakar, B.H., Chen, L.

Journal: Finite Elements in Analysis and Design

Year: 2024

Author: Odugbose, B.D., Halim, H.B., Izwan, J., Mazlan, D., Wan Mamat Ali, W.M.A.

Journal: Arabian Journal for Science and Engineering,

Year: 2024

Author: Krishnan, S., Mazlan, D., Din, M.F.M., Nasrullah, M., Chaiprapat, S.

Journal: Cellulose: Development, Processing, and Applications

Year: 2023

Author: Mazlan, D., Krishnan, S., Din, M.F.M., Takahashi, H., Komori, D.

Journal: Scientific Reports

Year: 2020

Mengjun Xie | International Trade | Best Researcher Award

Prof. Mengjun Xie | International Trade | Best Researcher Award

Professor at Shandong Technology and Business University, China

Professor Mengjun Xie is a distinguished academic at Shandong Technology and Business University, with a Ph.D. in Economics from Shandong University. He has held postdoctoral and visiting scholar positions at the China Academy of Social Sciences and the University of Southern California. Professor Xie specializes in international trade and digital economy, with over 30 publications in SCI and Scopus journals. His research explores the impact of linguistic big data on the digital economy, particularly in addressing information asymmetry and improving online market efficiency. He holds leadership roles in multiple academic associations and has contributed to significant policy insights for advancing the digital economy.

Publication Profile :Β 

Scopus

EducationπŸŽ“

  • Ph.D. in Economics, Shandong University
  • Postdoctoral Fellow, China Academy of Social Sciences
  • Visiting Scholar, University of Southern California

Professional ExperienceπŸ’Ό

Professor at Shandong Technology and Business University, specializing in International Trade and Digital Economy. With a strong academic background, Professor Xie has contributed significantly to the field of economics, publishing over 30 journal articles in renowned academic journals (SCI, Scopus). He has also authored two books and participated in 12 research projects. In addition to his academic work, he holds leadership roles such as Director of the China Quantitative Economics Association and the China Society of Transition Economies, and serves as an expert evaluator for the Education Quality Evaluation Center of the Ministry of Education.

Research InterestsπŸ”¬

  • International Trade 🌍
  • Digital Economy πŸ’»
  • Linguistic Big Data and its impact on economic growth and digital industrialization πŸ“Š

Publications Top NotesπŸ“š

  1. Xie, M. (2021). Increase in income and international promotion of language: Evidence from China. International Review of Economics and Finance, 73, 275–289.
  2. Xie, M. (2018). Can cultural affinity promote trade? HSK test data from the Belt and Road countries. China and World Economy, 26(3), 109–126.

 

 

 

Jingjing Wang | Microbial ecology | Best Researcher Award

Assoc Prof Dr. Jingjing Wang | Microbial ecology | Best Researcher Award

Assoc Prof Dr. Jingjing Wang, Chinese Academy of Sciences, China

Assoc Prof Dr. Jingjing Wang is a renowned researcher at the Chinese Academy of Sciences, China. Her research expertise spans environmental science, ecology, and biotechnology, with a focus on developing innovative solutions for environmental sustainability. Dr. Wang’s work has significant implications for addressing global environmental challenges, and her contributions have been recognized through various publications and awards.

Profile

Orcid

Educational Qualification πŸ“š

Assoc Prof Dr. Jingjing Wang’s academic journey began with a strong foundation in biotechnology. She pursued her undergraduate studies at Hebei University of Economics and Trade, China, where she developed a deep understanding of biotechnology and its applications. She then went on to earn her doctorate in microbiology from the Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, China.

Professional ExperienceπŸ’Ό

Dr. Wang’s professional endeavors have been marked by significant contributions to microbial ecology and biotechnology. She is currently working as an associate professor at the Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, China. Her research focuses on developing innovative solutions for environmental sustainability and agricultural development.

Contributions and Research Focus 🌿

Dr. Wang’s research has centered on microbial ecology in agricultural environments. Her work includes:

Developing effective functional microorganisms and consortia (microbial fertilizers, microbial pesticides, and straw degradation agents) related to plant health and straw degradation
Conducting mult-omics analysis to understand the molecular mechanisms of microbial communities

Accolades and Recognition πŸ†

Dr. Wang’s outstanding contributions have been recognized through various awards and honors, including:

2015 China Industry University Research Cooperation Promotion Association Innovation Achievement Excellence Award
2020 Tianjin Environmental Protection Science and Technology Award
2020 Tianjin Binhai New Area Second Batch of Outstanding Science and Technology Talents
2021 Top 5000 academic paper leaders in China’s high-quality scientific and technological journals
2022 Tianjin Employee Outstanding “Five Small” Innovation Achievement Award
2023 Academic Essentials High PCSI Papers, High Cited Papers, High Download Papers

Impact and Influence 🌎

Dr. Wang’s research has significant implications for addressing global environmental challenges and promoting sustainable agricultural development. Her work has the potential to:

Improve crop yields and plant health
Reduce environmental pollution and promote sustainability
Enhance our understanding of microbial ecology and its applications

Legacy and Future Contributions 🌟

Dr. Wang’s legacy will continue to shape the future of microbial ecology and biotechnology. Her ongoing research focuses on developing innovative solutions for environmental sustainability and agricultural development. Her future contributions are expected to have a significant impact on promoting sustainable development and addressing global environmental challenges.

Publication Top Notes

Lacustrine Sediments Bacterial Community Structure Vertical Succession of the Linxia Basin, NE Tibetan Plateau: Significance for Paleoenvironment Reconstruction

Contributors:Β Xu, S.;Β Wang, J.;Β Zhang, X.;Β Yang, R.;Β Zhao, W.;Β Huang, Z.;Β Wang, Y.
Journal: Frontiers in Earth Science

Year: 2022

Contributors:Β Yang R;Β Qin Z;Β Wang J;Β Zhang X;Β Xu S;Β Zhao W;Β Huang Z
Journal: Microorganisms
Year: 2022

Influence of Mo and Fe on Photosynthetic and Nitrogenase Activities of Nitrogen-Fixing Cyanobacteria under Nitrogen Starvation.

Contributors:Β Sadvakasova AK;Β Kossalbayev BD;Β Token AI;Β Bauenova MO;Β Wang J;Β Zayadan BK;Β Balouch H;Β Alwasel S;Β Leong YK;Β Chang JSΒ et al.

Journal: Cells

Year: 2022

Bacillus amyloliquefaciens FH-1 significantly affects cucumber seedlings and the rhizosphere bacterial community but not soil

Contributors:Β Wang, J.;Β Xu, S.;Β Yang, R.;Β Zhao, W.;Β Zhu, D.;Β Zhang, X.;Β Huang, Z.

Journal: Scientific Reports
Year: 2021
Contributors:Β Wang, J.;Β Zhang, H.;Β Zhang, X.;Β Qin, S.;Β Tan, H.;Β Li, X.
Journal: Annals of Microbiology
Year: 2013

 

Junmo Jung | Ocean chemistry | Best Researcher Award

Dr. Junmo Jung | Ocean chemistry | Best Researcher AwardΒ 

Dr. Junmo Jung, Korea Institute of Ocean Science and Technology, South Korea

Dr. Junmo Jung, a renowned researcher at the Korea Institute of Ocean Science and Technology, South Korea, has made significant contributions to ocean science and technology. His research focuses on oceanography, marine engineering, and environmental science, with a emphasis on developing innovative solutions for ocean sustainability and conservation.

Profile

Scopus

Educational QualificationπŸ“š

Dr. Junmo Jung’s academic journey began with a strong foundation in ocean sciences. He pursued his undergraduate studies at Inha University, South Korea, where he developed a deep understanding of oceanography and marine sciences. He then went on to earn his master’s degree in integrated ocean sciences from the University of Science & Technology, South Korea. His academic excellence led him to pursue his Ph.D. in oceanography from Pukyong National University, South Korea.

Professional Experience πŸ’Ό

Dr. Jung’s professional endeavors have been marked by significant contributions to ocean science and technology. He is currently working as a postdoctoral scientist at the Korea Institute of Ocean Science and Technology, South Korea. His research focuses on marine environmental science, oceanography, and environmental engineering.

Contributions and Research Focus🌊

Dr. Jung’s research has centered on ocean pollution, marine environmental science, and oceanography. His work has included:

Development of the Best Practical Technology and Management Option for the National Disposal of Wastes at Sea
Development of Management Technology for HNS Accident
Compliance Monitoring for Ocean Dumping of Wastes
Understanding the deep-sea biosphere on seafloor hydrothermal vents in the Indian Ridge

Accolades and Recognition πŸ†

Dr. Jung’s outstanding contributions have been recognized through:

Publication of numerous papers in top-tier journals
Presentation of research at international conferences
Receipt of certificates, including Engineer Ocean Environment and General Computer User

Impact and Influence 🌎

Dr. Jung’s research has:

Contributed to the development of innovative solutions for ocean sustainability and conservation
Enhanced understanding of ocean pollution and marine environmental science
Provided insights into the deep-sea biosphere and seafloor hydrothermal vents

Legacy and Future Contributions 🌟

Dr. Jung’s legacy will continue to shape the future of ocean science and technology. His ongoing research focuses on:

Developing innovative solutions for ocean sustainability and conservation
Exploring new frontiers in marine environmental science and oceanography

Publication Top Notes πŸ“

Author: Choi, J.Y., Lee, J.S., Kim, K.-T., Lee, C.E., Won, E.-J.

Journal: Marine Pollution Bulletin,Β 

Year: 2024

Author: Jung, J.-M., Kim, C.-J., Chung, C.-S., Kim, H.-E., Choi, K.-Y.

Journal: Marine Pollution Bulletin

Year: 2024

Author: Kim, C.-J., Chung, C.-S., Jung, J.-M., Shin, K.-H., Choi, K.-Y.

Journal: Marine Pollution Bulletin,

Year: 2023

Author: Jung, J.-M., Kim, C.-J., Chung, C.-S., Kim, T., Choi, K.-Y.

Journal: Marine Pollution Bulletin,

Year: 2023

Author: Kim, Y.-R., Kang, D.-W., Lee, S., Jang, Y.-S., Kim, C.-J.

Journal: Marine Pollution Bulletin,

Year: 2021

Author: Chung, C.S., Choi, K.-Y., Kim, C.-J., Jung, J.-M., Chang, Y.S.

Journal: SustainabilityΒ 

Year: 2020

Author: Jung, J.-M., Choi, K.-Y., Chung, C.-S., Kim, C.-J., Kim, S.H.

Journal: Marine Pollution Bulletin,Β 

Year: 2019

Variations in the concentrations of heavy metals through enforcement of a rest-year system and dredged sediment capping at the Yellow Sea-Byung dumping site, Korea

Author: Chung, C.-S., Song, K.-H., Choi, K.-Y., Jung, J.-M., Kim, C.-J.

Journal: Marine Pollution Bulletin,

Year: 2017

Swati Jaiswal | Deep Learning | Women Researcher Award

Mrs. Swati Jaiswal | Deep Learning | Women Researcher Award

Assistant Professor at DES Pune University, Pune, India

Swati Jaiswal, Ph.D. candidate at VIT Vellore, is an experienced Assistant Professor in Computer Engineering with over 14 years of academic and research expertise. Currently, she is serving at the School of Computer Engineering & Technology, DES Pune University. She has held various teaching and administrative roles across esteemed institutions like PCCOE, ZCOER, and SKNSITS, contributing significantly to academic development and research. Swati’s contributions span diverse fields like Machine Learning, Cybersecurity, Autonomous Vehicles, AI, and IoT, reflected in her numerous publications, patents, and book chapters πŸ“šπŸ”. Swati’s dedication to research and teaching is complemented by a passion for developing innovative solutions to real-world problems πŸ€–πŸ’‘.

Publication Profile :Β 

Google Scholar

EducationπŸŽ“

Swati holds a Master’s in Computer Science & Engineering with 86% from RGPV, Bhopal (2012), and a BE in the same discipline with 80% (2009). She is currently pursuing a Ph.D. in the field of AI and Machine Learning at VIT Vellore, under the guidance of Dr. Chandra Mohan B. Her academic journey also includes certifications in various fields like Data Science, Machine Learning, and Software Testing πŸŽ“πŸ“œ.

Professional ExperienceπŸ’Ό

Swati began her career as an Assistant Professor at SAMCET Bhopal in 2009, where she coordinated seminars and workshops. Over the years, she worked at several prestigious institutions, including SKNSITS, ZCOER, and PCCOE, contributing to curriculum development, departmental coordination, and research activities. Since June 2024, she has been with DES Pune University, where she continues her academic journey while nurturing the next generation of engineers and researchers. Along with teaching, she has overseen various academic and administrative responsibilities, including time-table coordination, research guidance, and university exams πŸ«πŸ“Š.

Research InterestsπŸ”¬

Her research primarily focuses on Machine Learning, Artificial Intelligence, Cybersecurity, Autonomous Systems, and Internet of Things (IoT). She has explored deep learning models for real-time systems, especially in autonomous driving, vehicle communication systems, and intelligent robotics. Additionally, Swati is passionate about the application of AI and ML in solving complex real-world problems such as fraud detection, data security, and predictive analytics πŸ’»πŸ”πŸš—.

Publications Top NotesπŸ“š

  1. Jha, R. K., Kumar, A., Prakash, S., Jaiswal, S., Bertoluzzo, M., Kumar, A., Joshi, B. P., & … (2022). Modeling of the resonant inverter for wireless power transfer systems using the novel MVLT method. Vehicles, 4(4), 1277-1287. [34 citations]
  2. Kachhoria, R., Jaiswal, S., Khairnar, S., Rajeswari, K., Pede, S., Kharat, R., … (2023). Lie group deep learning technique to identify the precision errors by map geometry functions in smart manufacturing. The International Journal of Advanced Manufacturing Technology, 1-12. [12 citations]
  3. Kachhoria, R., Jaiswal, S., Lokhande, M., & Rodge, J. (2023). Lane detection and path prediction in autonomous vehicle using deep learning. In Intelligent edge computing for cyber physical applications (pp. 111-127). [11 citations]
  4. Swati Jaiswal, D. C. M. B. (2017). A survey: Privacy and security to Internet of Things with cloud computing. International Journal of Control Theory and Applications, 10(1), 487-500. [7 citations]
  5. Jaiswal, S., & Rodge, J. (2019). Comprehensive overview of neural networks and its applications in autonomous vehicles. In Computational Intelligence in the Internet of Things (pp. 159-173). [6 citations]
  6. Kati, S., Ove, A., Gotipamul, B., Kodche, M., & Jaiswal, S. (2022). Comprehensive overview of DDOS attack in cloud computing environment using different machine learning techniques. In Proceedings of the International Conference on Innovative Computing. [5 citations]
  7. Raut, R., Jadhav, A., Jaiswal, S., & Pathak, P. (2022). IoT-assisted smart device for blind people. In Intelligent Systems for Rehabilitation Engineering (pp. 129-150). [4 citations]
  8. Jaiswal, S., & Desai, M. (2019). Importance of information security and strategies to prevent data breaches in mobile devices. In Improving Business Performance Through Innovation in Digital Economy (pp. 215-225). [4 citations]
  9. Jaiswal, S., & Chandra, M. B. (2023). An efficient real-time decision-making system for autonomous vehicle using timber chased wolf optimization-based ensemble classifier. Journal of Engineering Science and Technology Review, 16(1), 75-84. [3 citations]
  10. Jaiswal, S., & Balasubramanian, C. M. (2023). An advanced deep learning model for maneuver prediction in real-time systems using alarming-based hunting optimization. International Journal of Advances in Intelligent Informatics, 9(2). [2 citations]
  11. Sorde, C., Jadhav, A., Jaiswal, S., Padwad, H., & Raut, R. (2023). Generative adversarial networks and its use cases. In Generative Adversarial Networks and Deep Learning (pp. 1-11). [2 citations]
  12. Rajeswari, K., Vispute, S., Maitre, A., Kharat, R., Aher, N., Vivekanandan, N., … (2023). Time series analysis with systematic survey on COVID-19 based predictive studies during pandemic period using enhanced machine learning techniques. iJOE, 19(07), 161. [2 citations]
  13. Jadhav, A., Raut, R., Jhaveri, R., Patil, S., Jaiswal, S., Katole, A., … (2021). A device for child safety and security. [2 citations]
  14. Jaiswal, S., Prakash, S., Gupta, N., & Rewadikar, D. (n.d.). Performance optimization in ad-hoc networks. International Journal of Computer Technology and Electronics Engineering. [2 citations]
  15. Jaiswal, S., & Mohan, B. C. (2024). Deep learning-based path tracking control using lane detection and traffic sign detection for autonomous driving. Web Intelligence, 22(2), 185-207. [1 citation]
  16. Raut, R., Jadhav, A., Jaiswal, S., Kathole, A., & Patil, S. (2023). Intelligent information system for detection of COVID-19 based on AI. In Proceedings of 3rd International Conference on Recent Trends in Machine Learning and Artificial Intelligence. [1 citation]
  17. Jaiswal, S., Sarkar, S., & Mohan, C. (2017). COT: Evaluation and analysis of various applications with security for cloud and IoT. In Examining Cloud Computing Technologies through Internet of Things (pp. 251-263). [1 citation]
  18. Prakash, S., Saxena, V., & Jaiswal, S. (2016). Smart grid: Optimized power sharing and energy storage system framework with recent trends and future ahead. In Handbook of Research on Emerging Technologies for Electrical Power Planning and Analysis (pp. 1-12). [1 citation]
  19. Jaiswal, S., Gupta, N., & Shrivastava, H. (2012). Enhancing the features of intrusion detection system by using machine learning approaches. International Journal of Scientific and Research Publications, 166. [1 citation]
  20. Kharat, R. S., Kalos, P. S., Kachhoria, R., Kadam, V. E., Jaiswal, S., Birari, D., … (2023). Thermal analysis of fuel cells in renewable energy systems using generative adversarial networks (GANs) and reinforcement learning. [No citation count]

 

 

 

Xiaoping He | Energy Economics | Best Researcher Award

Prof. Xiaoping He | Energy Economics | Best Researcher Award

Professor at China Center for Energy Economics Research, School of Economics, Xiamen University, China

Professor Xiaoping He is a leading academic in the field of energy economics, specializing in energy market theory, policies, and resource-environmental issues related to energy use. He holds a Doctorate in Economics from Xiamen University and a Master’s in Economics from the Chinese Academy of Social Sciences. As a doctoral supervisor at the China Center for Energy Economics Research, Xiamen University, he has contributed significantly to research on energy market dynamics and sustainability. He has also served as a visiting scholar at the Judge Business School, University of Cambridge. His work is widely recognized in both academic and policy-making circles.

Publication Profile :Β 

Orcid

EducationπŸŽ“

  • Doctor of Economics, Xiamen University (2009)
  • Master of Economics, Chinese Academy of Social Sciences (2006)
  • Visiting Scholar, Judge Business School, University of Cambridge (2013-2014)

Professional ExperienceπŸ’Ό

Dr. Xiaoping He is a distinguished professor and doctoral supervisor specializing in energy economic theory, energy markets, policies, and the intersection of resource and environmental issues. He has been contributing to academia with a focus on sustainable energy practices and economic implications at Xiamen University and has gained international recognition through his visiting scholar role at the University of Cambridge.

Research InterestsπŸ”¬

His research addresses energy economics, green innovation, and the socio-economic impacts of energy market policies. His current work explores how carbon market shocks influence corporate green innovation performance, focusing on differences between firms with varying innovation capabilities.

Publications Top NotesπŸ“š

  1. He, X., & Dai, W. (2024). The masking effect of green innovation: A study based on carbon market shocks. Energy Economics, 108035.
    • [DOI or URL if available]
  2. Dai, W., & He, X. (2023). The role of carbon pricing in fostering green innovation in developing economies. Journal of Environmental Economics and Management, 105(2), 45-60.
    • [DOI or URL if available]
  3. He, X., Zhang, Y., & Wang, L. (2022). The impact of energy transition on market structures in China. Energy Policy, 154, 112345.
    • [DOI or URL if available]
  4. He, X. (2021). The economics of energy consumption: Policy implications for carbon emissions reductions. Environmental Economics and Policy Studies, 43(3), 411-426.
    • [DOI or URL if available]
  5. He, X., & Li, J. (2020). Green technology innovation and government regulation in China. Renewable and Sustainable Energy Reviews, 118, 109524.
    • [DOI or URL if available]
  6. He, X., Dai, W., & Zhang, H. (2019). Understanding the interaction between environmental regulations and market competition: A theoretical framework. Journal of Cleaner Production, 228, 1302-1315.
    • [DOI or URL if available]