N T Pramathesh Mishra | Pharmacology | Young Scientist Award

Assoc Prof Dr. N T Pramathesh Mishra | Pharmacology| Young Scientist Award

Associate Professor at Department of Pharmacology, Goel Institute of Pharmacy and Sciences, Lucknow, Uttar Pradesh, India, 226028

As an accomplished Associate Professor in Pharmacology, I aim to contribute to innovative scientific research, advanced drug discovery, and training future healthcare professionals . With over a decade of experience and recognition, including awards like the Daniel Bovet Distinguished Young Scientist Award and Karma Veer Chakra Global Youth Fellowship , I am dedicated to advancing pharmacology and fostering collaborative research initiatives . My goal is to engage in cutting-edge research, impactful workshops, and inspire the next generation of scientists and healthcare providers

Publication

    1. Effect of COVID-19 Pandemic Lockdowns on Planned Cancer Surgery for 15 Tumour Types in 61 Countries
      Journal: The Lancet Oncology
      Year: 2021
      Citations: 256

     

    1. Global Impacts of Pre-and Post-COVID-19 Pandemic: Focus on Socio-Economic Consequences
      Journal: Sensors International
      Year: 2020
      Citations: 140

     

    1. Endophyte-Mediated Modulation of Defense-Related Genes and Systemic Resistance in Withania somnifera (L.) Dunal Under Alternaria alternata Stress
      Journal: Applied and Environmental Microbiology
      Year: 2018
      Citations: 77

     

    1. Molecular Mechanisms and Therapeutic Strategies for Levodopa-Induced Dyskinesia in Parkinson’s Disease
      Journal: Frontiers in Pharmacology
      Year: 2022
      Citations: 30

     

    1. Supplementation of Trichoderma Improves the Alteration of Nutrient Allocation and Transporter Genes Expression in Rice Under Nutrient Deficiencies
      Journal: Plant Physiology and Biochemistry
      Year: 2019
      Citations: 23

     

    1. Clinicomycological Study of Dermatophytoses in Children Presenting at a Tertiary Care Center
      Journal: Indian Journal of Paediatric Dermatology
      Year: 2018
      Citations: 21

    Conclusion

    N T Pramathesh Mishra is a strong candidate for the Young Scientist Award due to his robust academic background, impactful research contributions, and recognition through prestigious awards. His diverse experience, innovative patents, and involvement in significant research projects reflect his potential as a leading young scientist. Addressing the areas for improvement, particularly in publication and broader collaboration, could further strengthen his candidacy and enhance his impact in the scientific community.

Xianwei Zhang | Geotechnical engineering | Best Scholar Award

Prof Dr. Xianwei Zhang | Geotechnical engineering| Best Scholar Award

 Professor at Chinese Academy of Sciences

Dr. Xianwei Zhang is an Associate Professor at the Institute of Rock and Soil Mechanics (IRSM), Chinese Academy of Sciences (CAS). With a BSc and PhD from Jilin University, China, he has vast expertise in geotechnical engineering and engineering geology . Dr. Zhang has led over 20 research projects, including five funded by the National Natural Science Foundation of China . He has authored over 150 research papers , contributing as the first or corresponding author. Additionally, he serves as an academic editor for Geofluids and holds editorial roles in three international journals

Publication

  • Mechanical Behavior of Natural Granite Residual Soil in Simple Shear
    Journal: Journal of Geotechnical and Geoenvironmental Engineering
    Year: 2024

 

  • Stabilization of Micaceous Residual Soil with Industrial and Agricultural Byproducts: Perspectives from Hydrophobicity, Water Stability, and Durability Enhancement
    Journal: Construction and Building Materials
    Year: 2024
    Citations: 2

 

  • Enhancing Mechanical Properties of Micaceous Weathered Granitic Soil: A Synergetic Approach Using Natural Fibers and Fly Ash
    Journal: Bulletin of Engineering Geology and the Environment
    Year: 2024

 

  • Impact of Mica on Geotechnical Behavior of Weathered Granitic Soil Using Macro and Micro Investigations
    Journal: Journal of Rock Mechanics and Geotechnical Engineering
    Year: 2024
    Citations: 6

 

  • A General Method for Quantifying the Shear Strength Anisotropy of Soil
    Journal: International Journal of Geomechanics
    Year: 2024

 

  • Dynamic Evolution of Desiccation Cracks and Their Relationship with the Hydraulic Properties of Expansive Soil
    Journal: International Journal of Geomechanics
    Year: 2024
    Citations: 4

Conclusion

Dr. Xianwei Zhang is a strong candidate for the Best Scholar Award due to his prolific research, leadership in academic publishing, and significant contributions to geotechnical engineering. Expanding his international collaboration and engagement would further enhance his already impressive scholarly achievements.

Fei Xue | Dentistry | Best Researcher Award

Dr. Fei Xue | Dentistry| Best Researcher Award

Associate Professor at Peking University School and Hospital of Stomatology, China

I earned my Bachelor’s and Master’s degrees from Shanghai Jiao Tong University and a Ph.D. from Peking University. Since graduation, I have specialized as a periodontist at Peking University School and Hospital of Stomatology, engaging in medical practice, teaching, and research. My academic contributions include 24 published papers and 7 patent applications. I have led and participated in numerous research projects, presented at national conferences by the Chinese Stomatological Association, and received several honors. I also serve on the Periodontology Group committee of the Bethune Spirit Research Association (BSRA).

Publication

  • Clinical Application of Mixed Reality Holographic Imaging Technology in Scaling and Root Planing of Severe Periodontitis: A Proof of Concept
    Journal: Journal of Dentistry
    Year: 2024
    Citations: 0
    Contributors: Xue F., Zhang R., Dai J., Zhang Y., Luan Q.-X.

 

  • Association of Carotid Intima-Media Thickness with Periodontitis May Depend on Glycemic Control
    Journal: Oral Diseases
    Year: 2024
    Citations: 0
    Contributors: Yang H., Cao P., Wang X., Luan Q., Guo L.

 

  • Digitally Measured Exposed Root Surface Area for Predicting the Effectiveness of Modified Coronally Advanced Tunnel Combined De-Epithelialized Gingival Grafting in the Treatment of Multiple Adjacent Gingival Recessions
    Journal: Clinical Oral Investigations
    Year: 2023
    Citations: 0
    Contributors: Xue F., Zhang R., Liu J., Zhang Y., Cai Y.

 

  • Clinical and Computed Tomographic Evaluations of Periodontal Phenotypes in a Chinese Population: A Cross-Sectional Study
    Journal: Clinical Oral Investigations
    Year: 2023
    Citations: 2
    Contributors: Zhang Y., Chen F., Kang N., Xue F., Cai Y.

 

  • The Use of Shear Wave Elastography to Monitor Changes in Gingival Elasticity Associated with Initial Periodontal Therapy in Patients with Advanced Periodontitis: A Prospective Pilot Study
    Journal: Journal of Dental Sciences
    Year: 2023
    Citations: 1
    Contributors: Xue F., Wu B.-Z., Zhang R., Li N., Sun F.

 

  • Accuracy of Automatic and Manual Dynamic Navigation Registration Techniques for Dental Implant Surgery in Posterior Sites Missing a Single Tooth: A Retrospective Clinical Analysis
    Journal: Clinical Oral Implants Research
    Year: 2023
    Citations: 8
    Contributors: Wu B.-Z., Xue F., Ma Y., Sun F.

 

  • Survival of Nonsurgically Splinted Mandibular Anterior Teeth During Supportive Maintenance Care in Periodontitis Patients
    Journal: Journal of Dental Sciences
    Year: 2023
    Citations: 2
    Contributors: Zhang Y., Kang N., Xue F., Cai Y., Luan Q.

 

  • Periodontitis Induced by Porphyromonas gingivalis Drives Impaired Glucose Metabolism in Mice
    Journal: Frontiers in Cellular and Infection Microbiology
    Year: 2022
    Citations: 4
    Contributors: Kang N., Zhang Y., Xue F., Cai Y., Luan Q.

    Conclusion

    Xue Fei is a strong contender for the Best Researcher Award based on her innovative contributions, interdisciplinary approach, and strong research output. Expanding her international presence and editorial roles would further strengthen her already impressive profile.

Thi Sinh Vo | Composites Materials | Best Researcher Award

Mr. Thi Sinh Vo | Composites Materials   | BEST RESEARCHER AWARD

Postdoc at Sungkyunkwan University, South Korea

Dr. Thi Sinh Vo, commonly known as Helen Vo, is a postdoctoral researcher at Sungkyunkwan University in South Korea, with a Ph.D. in Mechanical Engineering. She specializes in Polymer-Composite Materials and has a strong academic background, including a B.S. in Materials Science and an M.S. in Chemical Engineering. Her research expertise spans functional composites, electromechanical sensors, biosensing, and water treatment. Dr. Vo has published over 35 peer-reviewed articles, receiving numerous awards for her contributions. Her work focuses on interdisciplinary collaboration, integrating fields like materials science, organic chemistry, and environmental science.

🎓 Academic Qualifications

Ph.D. in Mechanical Engineering (2023), Sungkyunkwan University, South Korea Thesis: “Chitosan-Based Functional Composites for Organic Dye Adsorption and Piezoresistive Sensing”. M.S. in Chemical Engineering (2018), Daegu University, South Korea Thesis: “Synthesis and Characterization of Crosslinked Polyurethane Utilizing Azide-Alkyne Click Reaction”. B.S. in Materials Science (2014), Vietnam National University, Ho Chi Minh City

🔬 Research Focus

Functional Composites and Structures, Electromechanical and Electrochemical Sensors: Human Motion Sensing & Biosensing, Water/Wastewater Treatment: Organic Dye Removal

🧑‍🔬 Professional Experience

Postdoctoral Researcher (2023 – Present)

  • School of Mechanical Engineering, Sungkyunkwan University, South Korea
    • Focus: Composite membranes for dye removal, biosensors, human motion sensors

Research Assistant (2018 – 2023)

  • Complex Materials Engineering & Systems Lab, Sungkyunkwan University, South Korea

Research Assistant (2015 – 2018)

  • Polymer Lab, Daegu University, South Korea

🏅 Awards

Best Paper Award (2024), Academic Excellence Award (2024), Full Ph.D. Scholarship (2018-2023)

🛠 Skills

Instruments: FTIR, SEM, XRD, UV-Vis, TGA, DSC. Software: SolidWorks, AutoCAD, ChemDraw

 

Publication

  • Heavy Metal Removal Applications Using Adsorptive Membranes
    Journal: Nano Convergence
    Year: 2020
    Citations: 183
    Contributors: TS Vo, MM Hossain, HM Jeong, K Kim

 

  • Recycling Performance of Graphene Oxide-Chitosan Hybrid Hydrogels for Removal of Cationic and Anionic Dyes
    Journal: Nano Convergence
    Year: 2020
    Citations: 66
    Contributors: TS Vo, TTBC Vo, JW Suk, K Kim

 

  • Enhancement of Water Absorption Capacity and Compressibility of Hydrogel Sponges Prepared from Gelatin/Chitosan Matrix with Different Polyols
    Journal: Progress in Natural Science: Materials International
    Year: 2022
    Citations: 29
    Contributors: TS Vo, TTBC Vo, TT Tran, ND Pham

 

  • Graphene Oxide–Chitosan Network on a Dialysis Cellulose Membrane for Efficient Removal of Organic Dyes
    Journal: ACS Applied Bio Materials
    Year: 2022
    Citations: 19
    Contributors: TS Vo, MM Hossain, TG Lim, JW Suk, S Choi, K Kim

 

  • Organic Dye Removal and Recycling Performances of Graphene Oxide-Coated Biopolymer Sponge
    Journal: Progress in Natural Science: Materials International
    Year: 2022
    Citations: 18
    Contributors: TS Vo, TTBC Vo

 

  • Modification of the Interfacial Glass Fiber Surface Through Graphene Oxide-Chitosan Interactions for Excellent Dye Removal as an Adsorptive Membrane
    Journal: Journal of Environmental Chemical Engineering
    Year: 2022
    Citations: 13
    Contributors: TS Vo, MM Hossain, TG Lim, JW Suk, S Choi, K Kim

 

  • Crosslinked 3D Porous Composite Foams as Adsorbents for Efficient Organic Dye Removal
    Journal: Environmental Technology & Innovation
    Year: 2023
    Citations: 11
    Contributors: TS Vo, MM Hossain, J Lee, J Suhr, K Kim

 

  • Fabrication and Characterization of Gelatin/Chitosan Hydrogel Membranes
    Journal: Journal of the Turkish Chemical Society Section A: Chemistry
    Year: 2021
    Citations: 10
    Contributors: TS Vo, TTBC Vo, TS Nguyen, TT Tien

 

  • Surface Characterization of Polyimide and Polyethylene Terephthalate Membranes Toward Plasma and UV Treatments
    Journal: Progress in Natural Science: Materials International
    Year: 2022
    Citations: 9
    Contributors: TS Vo, TTBC Vo

 

  • Progresses and Expansions of Chitosan-Graphene Oxide Hybrid Networks Utilizing as Adsorbents and Their Organic Dye Removal Performances: A Short Review
    Journal: Journal of the Turkish Chemical Society Section A: Chemistry
    Year: 2021
    Citations: 9
    Contributor: TS Vo

 

  • A Self-Healing Material Based on Microcapsules of Poly (Urea-Formaldehyde)/Bis-Propargyl-Succinate Containing in Polyurethane Matrix
    Journal: Journal of the Turkish Chemical Society Section A: Chemistry
    Year: 2021
    Citations: 9
    Contributors: TS Vo, TTBC Vo, ND Pham, TNH Laı

 

  • Enhancement of Mechanical Property of Modified Polyurethane with Bis-Butyl Succinate
    Journal: Journal of the Turkish Chemical Society Section A: Chemistry
    Year: 2021
    Citations: 9
    Contributors: TS Vo, TTBC Vo, TT Tien, NT Sinh

Conclusion

Thi Sinh Vo is a well-rounded, highly qualified researcher with impressive academic achievements, publications, and contributions to the fields of materials science and engineering. Her interdisciplinary research and collaborative efforts make her a strong contender for a Best Researcher Award, though enhancing her industry impact and visibility could further solidify her candidacy.

ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

Mr. ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

PHD at SWINBURNE UNIVERSITY OF TECHNOLOGY SARAWAK CAMPUS Malaysia

Abel Chai Yu Hao is a PhD candidate at Swinburne University of Technology Sarawak, specializing in computer vision, machine learning, and deep learning. His research focuses on developing interpretable deep learning models for plant disease identification, collaborating with CIRAD and INRIA on innovative agricultural projects. With a Master’s degree in wireless communication, Abel has contributed to improving rural connectivity in Sarawak through cost-effective wireless solutions. He has co-authored numerous journal articles and conference papers on topics ranging from unseen plant disease recognition to wireless data transmission. Abel is a recipient of multiple awards, including the Gold Award at the Innovation Technology Exposition 2023, and is an active IEEE member.

🎓 Education

Doctor of Philosophy (2022 – Present) Swinburne University of Technology Sarawak Campus Research focus: Computer Vision, Machine Learning, Deep Learning, AI. Master of Engineering (2019 – 2021) Swinburne University of Technology Sarawak Campus Research focus: Wireless communication, Wi-Fi, Rural connectivity. Bachelor of Engineering (Honours), Electrical & Electronics Engineering (2014 – 2018) Swinburne University of Technology Sarawak Campus CGPA: 3.97/4 (High Distinction)

🏫 Professional Experience

Teaching Assistant (2019 – Present) Swinburne University of Technology Sarawak Campus Assisting in course delivery, tutorials, and research guidance

🏆 Awards & Scholarships

Gold Award in Innovation Technology Exposition (2023). Best Paper Award at International UNIMAS Engineering Conference (EnCon) (2020). Sarawak Energy External Scholarship (2015-2018). Swinburne Entrance Scholarship (2014)

🌱 Research Projects

Plant Disease Identification with Deep Learning (2022 – ongoing) Collaborating with experts from CIRAD, INRIA, focusing on AI-based plant disease detection. Rural Internet Connectivity Solutions (2019 – 2021) Conducted cost-performance analysis for wireless solutions in partnership with Sarawak Multimedia Authority (SMA)

Publication

  • Pairwise Feature Learning for Unseen Plant Disease Recognition
    Conference: International Conference on Image Processing (ICIP)
    Year: 2023
    Pages: 306–310
    Contributors: Hao Chai A.Y., Han Lee S., Tay F.S., Bonnet P., Joly A.

 

  • Unveiling Robust Feature Spaces: Image vs. Embedding-Oriented Approaches for Plant Disease Identification
    Conference: Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
    Year: 2023
    Pages: 666–673
    Contributors: Ishrat H.A., Chai A.Y.H., Lee S.H., Then P.H.H.

 

  • Development and Application of Outdoor Router Cost Estimation with Parametric Modelling Technique
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Lai C.H., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Model Study for Outdoor Data Transmission Performance
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Then Y.L., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Parametric Model Study for Outdoor Routers Cost Estimation
    Conference: 13th International UNIMAS Engineering Conference (EnCon)
    Year: 2020
    Contributors: Hao Chai A.Y., Hung Lai C., Su H.T., Siang Tay F., Yong L.

🏆 Conclusion:

Abel Chai Yu Hao is a highly qualified candidate for the Best Researcher Award, given his solid academic background, impactful publications, international collaborations, and ongoing contributions to the field of AI and wireless communication. With continuous focus on expanding his research and increasing engagement, his profile can only continue to rise.

Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr. Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr Prasanna Kumar G The National Institute of Engineering India

Dr. Prasanna Kumar G has made substantial contributions to the fields of cybersecurity and ubiquitous networks through a diverse range of publications and research activities. His scholarly work spans several key areas including machine learning in cybersecurity, IoT-based networking solutions, and advanced network models for seamless connectivity.

Academic History 🎓

Ph.D. in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2023).M.Tech in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2011) – 80.80%.Bachelor’s in Computer Science and Engineering, Visvesvaraya Technological University, Coorg Institute of Technology, Ponnampet (2009) – 58.14%.PUC, Karnataka PU Board, Sarada Vilas PU College, Mysore (2005) – 62.00%.S.S.L.C., Karnataka Secondary Education Board, Sadvidya High School, Mysore (2003) – 76.00%.

Technical Skills 🛠️

Programming Languages: C, C++, Java, PHP, C#.Web Technologies: HTML, CSS, JavaScript, PHP.Operating Systems: Windows, Linux.Database Management: MySQL.Scripting: Shell Script

Projects and Patents 🏗️

M.Tech Project: “Simulation of S-Bus Protocol Devices” – Development and component testing..Patent 1: “Smart Navigation Stick for the Visually Impaired” (Design No. 6295943).Patent 2: “AI-Based Smart Glasses for Visually Impaired” (Application No. 399870-001).

Training and Workshops 🧑‍🏫

Organized and attended various workshops on Python Programming, IoT, Smart Grid Technologies, Network Technologies, and Business Intelligence.

Achievements 🏅

Guided projects that won awards, such as 1st prize in IEEE Project Expo 2023 and Best Paper Award in NCEIS-2019.

Publication

  • Introduction to Cyber Security
    Authors: S. Jadey, S.C. Girish, K. Raghavendra, H.R. Srinidhi, K.M. Anilkumar
    Book: Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
    Year: 2022

 

  • NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs
    Author: P.K. Gurumallu
    Journal: International Journal of Intelligent Engineering & Systems
    Volume: 15 (5)
    Year: 2022

 

  • Machine Learning in Cybersecurity: A Comprehensive Survey of Data Breach Detection, Cyber-Attack Prevention, and Fraud Detection
    Authors: P. Kumar, D.Y. Gowda, A.M. Prakash
    Book: Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
    Year: 2024

 

  • An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: International Journal of Information Technology and Computer Science (IJITCS)
    Volume: 15, Pages 15-25
    Year: 2023

 

  • A Novel Approach by Integrating Dynamic Network Selection and Security Measures to Improve Seamless Connectivity in Ubiquitous Networks
    Authors: P. Kumar G, S. N., R. M. B., S. J., S. B. S., D. Y., M. K. B.
    Journal: International Journal of Wireless and Microwave Technologies (IJWMT)
    Volume: 14 (1)
    Year: 2024

 

  • A Metaheuristic Handover Model Using Network Augmentation and Game Theory for Seamless Connectivity in Heterogeneous Networks
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: Wireless Personal Communications
    Volume: 134 (1), Pages 133-150
    Year: 2024

 

  • Basics of Healthcare Informatics
    Authors: J. Sudeep, M. Goutham, G. Prasannakumar, K. Raghavendra, S.C. Girish
    Book: Intelligent Systems in Healthcare and Disease Identification using Data Science
    Year: 2023

 

 

Conclusion:

Dr. Prasanna Kumar G’s body of work reflects a deep engagement with both theoretical and practical aspects of cybersecurity and network engineering. His research not only contributes to the academic community but also offers practical solutions and frameworks applicable to real-world problems. His innovative approaches to network design, security measures, and machine learning applications are indicative of a forward-thinking researcher dedicated to enhancing technological and scientific understanding.

 

 

Wei Zhao | Microbial Ecology | Young Scientist Award

Assist Prof Dr. Wei Zhao | Microbial Ecology | Young Scientist Award

Assistant Researcher at Tianjin Institute of Industrial Biotechnology, China

Wei Zhao is a Research Assistant at the Tianjin Key Laboratory of Industrial Biological Systems and Process Engineering, part of the Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences. She holds a Master’s Degree in Bioengineering from the University of Chinese Academy of Sciences (2014) and a Bachelor’s in Biotechnology from Hebei University (2011). Her research focuses on environmental microbial ecology, with a particular emphasis on microbial community diversity, assembly mechanisms, and oil spill bioremediation. She has published 26 papers, including five in SCI-indexed journals, and holds 10 granted patents. Wei has also led major projects, including the Tianjin Marine Oil Spill Emergency Response initiative.

🎓 Education

2011-2014: Master of Bioengineering, University of Chinese Academy of Sciences. 2007-2011: Bachelor of Biotechnology, Hebei University

💼 Experience

  • July 2014 – Present: Assistant Researcher, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences

📚 Academic Achievements

Wei Zhao spearheaded the Tianjin Major Special Project on Ecological and Environmental Management, developing eco-friendly biotechnological solutions for oil spill mitigation. Her work on microbial communities has been groundbreaking, especially in the dynamic changes following oil spills in the Bohai Bay area. She has published 26 papers, with 5 as the first author in SCI-indexed journals, and applied for 15 patents, with 10 granted. Wei received the third prize in the 2020 Tianjin Environmental Science Society’s Science and Technology Progress Award.

🔬 Research, Innovations, and Extension Activities

  • Research Projects Completed: 9
  • Total Project Cost: 6.782 million RMB
  • Patents Published/Under Process: 10
  • Publications (SCI/SCIE indexed): 5
  • Cumulative Impact Factor (Last 3 Years): 17.9

Publication

  • Inoculum of Pseudomonas sp. D_192 significantly alters the prokaryotic community in simulated liquid paraffin-contaminated seawater environment
    Journal: Ocean and Coastal Management
    Year: 2024
    DOI: 10.1016/j.ocecoaman.2024.107079
    Contributors: Zhao W., Wang X., Cheng T., Han Y., Huang Z.

 

  • Co-inoculation of antagonistic Bacillus velezensis FH-1 and Brevundimonas diminuta NYM3 promotes rice growth by regulating the structure and nitrification function of rhizosphere microbiome
    Journal: Frontiers in Microbiology
    Year: 2023
    DOI: 10.3389/fmicb.2023.1101773
    Contributors: Wang J., Zhao S., Xu S., Zhai H., Huang Z.

 

  • Genome sequencing and metabolic network reconstruction of a novel sulfur-oxidizing bacterium Acidithiobacillus ameehan
    Journal: Frontiers in Microbiology
    Year: 2023
    DOI: 10.3389/fmicb.2023.1277847
    Contributors: Wu P., Yuan Q., Cheng T., Ma H., Huang Z.

 

  • Heterogeneous selection dominated the temporal variation of the planktonic prokaryotic community during different seasons in the coastal waters of Bohai Bay
    Journal: Scientific Reports
    Year: 2022
    DOI: 10.1038/s41598-022-24501-5
    Contributors: Zhao W., Shi L., Wang X., Han Y., Huang Z.

 

  • The interactions between arbuscular mycorrhizal fungi and Trichoderma longibrachiatum enhance maize growth and modulate root metabolome under increasing soil salinity
    Journal: Microorganisms
    Year: 2022
    DOI: 10.3390/microorganisms10051042
    Contributors: Yang R., Qin Z., Wang J., Zhao W., Huang Z.

Conclusion:

Wei Zhao is a highly suitable candidate for the Young Scientist Award due to her impressive contributions to microbial ecology, innovation in environmental bioremediation, and growing recognition in her field. Expanding her international exposure and diversifying her research areas could further enhance her career trajectory.

 

Ran WEI | Higher Education | Best Researcher Award

Dr. Ran WEI | Higher Education | Best Researcher Award

Research Fellow at The Hang Seng University of Hong Kong 

WEI Ran received her doctoral degree in The Education University of Hong Kong in 2023. She has been appointed as a research fellow at The Hang Seng University of Hong Kong, focusing on research in the field of environmental sustainability. Her research interests primarily encompass the areas of circular economy, green logistics, supply chain management, ESG (Environmental, Social, and Governance), and risk management analysis.

Publication profile

🏢 Employment

The Hang Seng University of Hong Kong Research Fellow (Supply Chain and Information Management) February 24, 2023 – Present. Hong Kong Polytechnic University Research Associate (CPCE) January 1, 2023 – July 30, 2023

🎓 Education and Qualifications

University of Hong Kong Doctor of Science and Environmental Studies September 1, 2017 – December 10, 2022. University of Hong Kong
Master of Science and Environmental Studies September 1, 2015 – November 10, 2016. University College Cork Master of Social Science
September 1, 2014 – May 1, 2015

Publication

  • Examining the Influence of the RIASEC Theory within the Holland Code on Students’ Academic Performance
    Cogent Education
    December 31, 2024
    DOI: 10.1080/2331186x.2024.2391274

 

  • Multidimensional Financial Metrics for Corporate Financial Risk Assessment and Early Warning Mechanisms
    Journal of Organizational and End User Computing
    August 5, 2024
    DOI: 10.4018/JOEUC.350268
    Co-authors: Eugene Yin Cheung Wong, Matthew Sun, Zhaoqi Wang

 

  • 高校教育管理理论与实践创新研究
    Jilin Publishing Group Co., Ltd.
    July 2024

 

  • Selecting the Best K Features for Predicting Student Participation in Generic Competency Development Activities in Higher Education
    International Journal of Emerging Technologies in Learning (iJET)
    December 5, 2023
    DOI: 10.3991/ijet.v18i23.45499
    Co-authors: Adam Ka Lok Wong, Joseph Chi Ho So, Kia Ho Yin Tsang

 

Valentina Franzoni | Complex networks | Best Researcher Award

Prof. Valentina Franzoni | Complex networks | Best Researcher Award

professor at University of Perugia, Italy

Dr. Valentina Franzoni is a tenure-track professor at the University of Perugia, specializing in Artificial Intelligence, Affective Computing, and Human-Computer Interaction. With a PhD in Computer Engineering from La Sapienza University of Rome, she leads research in Affective Computing and Ethics for AI, contributing to multidisciplinary projects and initiatives such as the EmoRe team and KITlab. She also teaches at Hong Kong Baptist University and collaborates with Gumilyov Eurasian University. An accomplished researcher with 72 publications and over 979 citations, Dr. Franzoni is a keynote speaker, organizer of international conferences, and a senior IEEE member with a strong interdisciplinary background in psychology, philosophy, and ethics.

Publication profile

Education and Specializations

Ph.D. in Computer Engineering (La Sapienza University of Rome, Italy) Thesis: “A Unifying Approach to Semantic and Topological Similarity in Information Networks” Supervisors: Marco Schaerf, Daniele Nardi. Master’s Degree in Computer Science (University of Perugia, Italy, with honors, 110/110 cum laude) Thesis: “Semantic Proximity Measures for the Web”. Bachelor’s Degree in Computer Science (University of Perugia, Italy) Thesis: “Web Usability on the Nintendo Wii Platform”. Liberal Studies Diploma (Liceo Classico “Annibale Mariotti”, Perugia, Italy)

Professional Experience

Tenure-Track Professor (University of Perugia, Italy) Courses: Artificial Intelligence, Affective Computing, Human-Computer Interaction. Responsibilities: Leads research on Affective Computing and Ethics for AI (EmoRe), coordinates data analysis in multidisciplinary projects, involved in communication and outreach, and setting up a university spin-off in AI and Affective Computing.. Lecturer (Hong Kong Baptist University, Hong Kong) Courses: E-Business Technology, Electronic Transformation in Business Agreement Duration: 2021-2024 External Teacher and Consultant (Gumilyov Eurasian University, Kazakhstan) Roles: Advisor to Ph.D. candidates Coordinator and Senior Visiting Research Assistant (Hong Kong Baptist University, Hong Kong) Roles: Coordinator of HKBU-Unipg summer exchange programme (2012-2017), Senior Visiting Research Assistant (2012, 2016)

Research and Grants

Current Projects: Work Package Coordinator for the “1.1 Organoids” project on data analysis and bioinformatics.. Leader of Affective Computing and Emotion Recognition research group at University of Perugia.. Past Grants:. Funding for e-learning research (PRIN “PHRAME” project) Scholarships for various international conferences and summer schools. Research grants for projects on e-learning and semantic annotation

Academic and Professional Activities

Conferences and Workshops: Organizer and keynote speaker at various events related to AI, affective computing, and ethics. Publications: Articles: 72 indexed in international journals and conference proceedings Book Chapters: 2 scientific, 1 educational Citations: Over 979; H-index: 20 (Scopus, July 2024) Editorial and Review Roles: Guest editor, reviewer for scientific journals, senior IEEE member

Educational and Training Activities

Courses: Attended various summer schools and training in Open Science, Reasoning Web, Mathematics, and more.. Additional Education: Courses in theology, philosophy, and psychology from Theological Institute of Assisi and University of Perugia.

Graduate and PhD Thesis Supervision 🎓

Zhanerke Musekenova: Intelligent document management system (2020). Gaukhar Baltabayeva: Intelligent video surveillance system (2020). Giulio Biondi: Meta-Correlations for Link Prediction (2021). Andrea Migni: Intelligent search on didactic-scientific repositories (May 2019). Giulio Biondi: Semantic and topological proximity in link prediction (April 2017). Gianluca Curto: Randomized Walk Generation Strategies for Recommendation Systems (July 2016). Paolo Mengoni: Semantic Proximity Measures in Collaborative Networks (February 2014). Marco Mencacci: Randomized Paths in Collaborative Networks (February 2014). Fabrizio Piccinato: Visual Interfaces for E-learning Platforms (May 2014). Fabiana Zollo: Automated Classification on the book social network Zazie (May 2013). Sabrina Manni: Information Security in Cloud Computing (May 2013)

Awards and Acknowledgements 🏆

  • Best Paper Award
    • Title: “Semantic Similarity Measures for Topological Link Prediction”
    • Event: International Conference of Computer Science and Its Applications (ICCSA)
    • Date: July 1-4, 2020
    • Location: Cagliari, Italy
  • Leadership Certificate
    • Event: 19th International Conference on Computational Science and Applications (ICCSA) and associated workshops (ACER-EMORE and IWCES)
    • Date: July 1-5, 2019
    • Location: Saint Petersburg, Russia
    • Recognition: Outstanding contribution
  • Certificate for Workshop Organizers
    • Event: Affective Computing and Emotion Recognition (ACER)
    • Affiliation: IEEE/WIC/ACM WI 2017
    • Date: 2017
    • Location: Leipzig University
  • Leadership Certificate
    • Event: 17th International Conference on Computational Science and Applications (ICCSA) and associated workshops (EMORE and IWCES)
    • Date: July 3-6, 2017
    • Location: Trieste, Italy
    • Recognition: Outstanding contribution
  • Award for Excellent Contribution
    • Recognition: 5-years coordination of the HKBU-UNIPG International Exchange Programme
    • Date: 2016
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • FSE Awards 2014, III Prize
    • Category: Young researchers and mobility
    • Project: Por Umbria FSE “iLearn: usability metrics and developing protocols for e-learning on innovative mobile devices”
    • Region: Umbria
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2014
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2013
    • Affiliation: University of Perugia and Hong Kong Baptist University

 

Publication

  1. A deep learning semantic approach to emotion recognition using the IBM Watson Bluemix Alchemy language
    Journal: Computational Science and Its Applications – ICCSA 2017: 17th International
    Year: 2017
    Citations: 51
    Contributors: G Biondi, V Franzoni, V Poggioni

 

  1. Context-based image semantic similarity
    Conference: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery
    Year: 2015
    Citations: 48
    Contributors: V Franzoni, A Milani, S Pallottelli, CHC Leung, Y Li

 

  1. Web-based similarity for emotion recognition in web objects
    Conference: Proceedings of the 9th International Conference on Utility and Cloud
    Year: 2016
    Citations: 47
    Contributors: G Biondi, V Franzoni, Y Li, A Milani

 

  1. PMING distance: a collaborative semantic proximity measure
    Conference: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and
    Year: 2012
    Citations: 47
    Contributors: V Franzoni, A Milani

 

  1. Artificial Intelligence Visual Metaphors in E-Learning Interfaces for Learning Analytics
    Journal: Applied Sciences
    Year: 2020
    Citations: 44
    Contributors: V Franzoni, A Milani, P Mengoni, F Piccinato
  1. Semantic context extraction from collaborative networks
    Conference: Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th
    Year: 2015
    Citations: 31
    Contributors: V Franzoni, A Milani

 

  1. Multi-path traces in semantic graphs for latent knowledge elicitation
    Conference: Natural Computation (ICNC), 2015 11th International Conference
    Year: 2015
    Citations: 28
    Contributors: V Franzoni, A Milani, S Pallottelli

 

  1. Semantic Heuristic Search in Collaborative Networks: Measures and Contexts
    Conference: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI)
    Year: 2014
    Citations: 28
    Contributors: Franzoni V., Mencacci M., Mengoni P., Milani A.

 

  1. Heuristics for semantic path search in Wikipedia
    Conference: International Conference on Computational Science and Its Applications
    Year: 2014
    Citations: 27
    Contributors: V Franzoni, M Mencacci, P Mengoni, A Milani

Conclusion 📝

The candidate demonstrates outstanding qualifications for the Best Researcher Award, with a distinguished educational background, extensive professional experience, and a significant record of research achievements. Their leadership in research and contributions to the academic community are commendable. To further strengthen their profile, focusing on expanding their research scope, increasing collaborations, and enhancing public outreach would be beneficial. Overall, their accomplishments and ongoing contributions position them as a leading candidate for the award.

Chong Qiu | Nanomedicine | Young Scientist Award

Assoc Prof Dr. Chong Qiu | Artificial Intelligence | Young Scientist Award

Associate Professor at China Academy of Chinese Medical Sciences, China

Dr. Chong Qiu is an Associate Professor at the Artemisinin Research Center and Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences. He earned his PhD from Peking University, specializing in nanocarriers for drug delivery, siRNA, and peptide therapeutics. Dr. Qiu’s research focuses on innovative nanoparticle-based drug delivery systems, with applications in cancer treatment, pulmonary fibrosis, and targeted gene therapies. His work is widely recognized, with numerous high-impact publications in prestigious journals like Nature Communications and Journal of Nanobiotechnology. He is also a board member of several scientific journals and a leading expert in his field.

Publication profile

Education:

  • PhD in Pharmaceutical Science, Peking University, 2019
  • Bachelor’s degree, Peking University, 2014

Research Interests:

  • Nanocarriers for siRNA delivery
  • Nano-carriers for oral protein and peptide
  • Targeted nanoparticulate drug delivery

Professional Roles:

  • Young Scientist Board Member for Asian Journal of Pharmaceutical Sciences, iMeta, and Traditional Medicine Research and Exploration

Publication

  1. Photoaffinity probe-based antimalarial target identification of artemisinin in the intraerythrocytic developmental cycle of Plasmodium falciparum
    Journal: iMeta
    Year: 2024
    DOI: 10.1002/IMT2.176
    Contributors: Gao, Peng; Wang, Jianyou; Qiu, Chong; Zhang, Huimin; Wang, Chen; Zhang, Ying; Sun, Peng; Chen, Honglin; Wong, Yin Kwan; Chen, Jiayun et al.

 

  1. Enhanced tumor penetration across the blood-brain barrier: endoplasmic reticulum membrane hybrid siRNA nanoplexes
    Journal: Materials Today Nano
    Year: 2024
    DOI: 10.1016/j.mtnano.2023.100442
    Contributors: Chong Qiu; Shun Tao Liang; Qing Chao Tu; Chen Pan; Jia Yin Han; Bo Wu; Qiu Yan Guo; Yu Qian Lu; Jun Zhe Zhang; Yu Qing Meng et al.

 

  1. Advanced Strategies for Overcoming Endosomal/Lysosomal Barrier in Nanodrug Delivery
    Journal: Research
    Year: 2023
    DOI: 10.34133/RESEARCH.0148
    Contributors: Qiu, Chong; Xia, Fei; Zhang, Junzhe; Shi, Qiaoli; Meng, Yuqing; Wang, Chen; Pang, Huanhuan; Gu, Liwei; Xu, Chengchao; Guo, Qiuyan et al.

 

  1. Advanced strategies for nucleic acids and small-molecular drugs in combined anticancer therapy
    Journal: International Journal of Biological Sciences
    Year: 2023
    DOI: 10.7150/ijbs.79328
    Contributors: Chong Qiu; Yanyan Wu; Qiaoli Shi; Qiuyan Guo; Junzhe Zhang; Yuqing Meng; Chen Wang; Fei Xia; Jigang Wang; Chengchao Xu

 

  1. Anemoside B4 alleviates neuropathic pain through inhibiting inflammation
    Source: ResearchSquare
    Year: 2022
    DOI: 10.21203/rs.3.rs-1821028
    Contributors: Zhao, M.; Li, H.; Yang, T.; Qiu, C.; Lu, T.; Wang, Q.; Guo, Q.; Wang, J.

 

  1. Preparation and application of calcium phosphate nanocarriers in drug delivery
    Journal: Materials Today Bio
    Year: 2022
    DOI: 10.1016/j.mtbio.2022.100501
    Contributors: Chong Qiu; Yanyan Wu; Qiuyan Guo; Qiaoli Shi; Junzhe Zhang; Yuqing Meng; Fei Xia; Jigang Wang

 

🏆 Conclusion

Dr. Chong Qiu is highly suitable for a Young Scientist Award. His innovative research, strong publication record, and leadership roles in the field of nanotechnology-based drug delivery make him a compelling candidate. With some strategic improvements in expanding research impact and fostering international collaborations, he has the potential to significantly advance the scientific community’s understanding of targeted therapeutics.