Mohammed Aasif Sulaiman | Environmental Science | Best Researcher Award

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Mr. Mohammed Aasif Sulaiman | Environmental Science | Best Researcher Award

Mr. Mohammed Aasif Sulaiman, Patna University, India.

Mr. Mohammed Aasif Sulaiman is a dedicated environmental and life sciences researcher with a strong academic foundation, including UGC-NET/JRF and GATE qualifications. He has authored 14 research papers and 5 book chapters, focusing on groundwater quality, fish toxicology, and air and water pollution in the Ganga River basin. His Ph.D. explores the genotoxic effects of heavy metals on aquatic life. Mr. Sulaiman’s research demonstrates interdisciplinary expertise and a commitment to ecological sustainability and public health.

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Early Academic Pursuits

Mr. Mohammed Aasif Sulaiman embarked on his academic journey with a strong foundation, consistently securing first division throughout his early education. He completed his 10th and Intermediate studies under the Bihar School Examination Board, excelling in Physics, Chemistry, Biology, and English. His passion for biological sciences led him to pursue a B.Sc. and M.Sc. in Zoology from Patna University, where he graduated with distinction in 2017 and 2019 respectively. His academic excellence is further highlighted by qualifying both the GATE (XL) and UGC-NET/JRF in Life Sciences in 2020, demonstrating his proficiency and deep understanding of biological disciplines.

Professional Endeavors

Currently pursuing his Ph.D in Zoology, Mr. Sulaiman’s research is centered on the “Evaluating Genotoxic Effect of Some Selected Heavy Metals on Commercially Important Fish Species of River Ganga at Patna, Bihar”, a topic that merges ecological, toxicological, and public health concerns. His work involves laboratory-based experimentation, field assessments, and toxicological bioassays, particularly on aquatic organisms like Channa punctatus. His commitment to scientific rigor and field applicability sets a high benchmark in environmental monitoring and aquatic toxicology.

Contributions and Research Focus On Environmental Science

Mr. Sulaiman’s research focuses on environmental pollution, aquatic toxicology, hydrogeochemistry, and avian biodiversity. He has made substantial contributions by examining groundwater quality, fluoride contamination, heavy metal toxicity, and fish biodiversity in the Ganga River Basin. His interdisciplinary approach integrates GIS tools, statistical modeling, and bioassays, making his work valuable to both ecological preservation and public health domains.

Impact and Influence

The breadth and depth of Mr. Sulaiman’s work have significantly impacted the scientific community and policymakers. His research has aided in mapping pollution hotspots, identifying health risks due to toxicants, and proposing sustainable water management strategies. His GIS-based groundwater quality assessments, hydrogeochemical investigations, and avian biodiversity studies have become reference points for further studies in the region. His work helps bridge the gap between academic science and ecological preservation, offering insights into the management of aquatic ecosystems and public health concerns related to toxic exposure.

Research Skills

Mr. Sulaiman demonstrates a diverse and advanced skill set in toxicological bioassays, hydrogeochemical modeling, multivariate statistical analysis, GIS-based mapping, and environmental monitoring techniques. He effectively integrates field research with laboratory-based methods, and applies advanced analytical tools for studying environmental matrices. His ability to carry out cross-disciplinary research in ecotoxicology, hydrology, and zoology underscores his scientific versatility and commitment to evidence-based ecological research.

Awards and Honors

In recognition of his academic excellence and research promise, Mr. Sulaiman has earned prestigious credentials like GATE qualification and the UGC-NET/JRF award. These honors underscore his potential and dedication to advancing scientific understanding in Life Sciences and Environmental Studies.

Joaquin Rincón | mycology | Global Health Impact Award

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Dr. Joaquin Rincón | mycology | Global Health Impact Award

Dr. Joaquin Rincón, Toluca Children’s Hospital, Mexico.

Dr. Joaquín Rincón Zuno is a distinguished pediatric infectious disease specialist with extensive expertise in antimicrobial resistance and clinical epidemiology. With dual specializations in pediatrics and infectology, he serves as Head of Infectology at the Hospital para el Niño IMIEM and is an academic leader at UNAM. A contributor to national surveillance networks like INVIFAR, his research has advanced understanding of drug-resistant pathogens in children. He is widely recognized for his leadership, publications, and medical education initiatives.

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Early Academic Pursuits

Dr. Joaquín Rincón Zuno embarked on his medical journey by earning a degree in Medical Surgery and Obstetrics from the Universidad Michoacana de San Nicolás de Hidalgo. His academic foundation was strengthened through his pre-internship at the IMSS General Hospital in Manzanillo, Colima, and social service at a rural health center in Pátzcuaro, Michoacán. These formative years laid the groundwork for his specialization in Pediatrics and Infectology. He later obtained postgraduate qualifications including a Master’s degree in High Management, a Diploma in University Teaching, and a Diploma in Hospital Administration, reflecting his commitment to medical leadership and education.

Shama Mujawar | Bioinformatics | Young Scientist Award

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Dr. Shama Mujawar | Bioinformatics | Young Scientist Award

Dr. Shama Mujawar, MIT Art, Design Technology University, India.

Dr. Shama Mujawar is a distinguished researcher in Bioinformatics, with over 11.5 years of expertise in genomics, computational biology, and drug design. She holds a Ph.D. from Sunway University, Malaysia, and has contributed extensively to antimicrobial resistance and precision medicine research. Dr. Mujawar has authored multiple peer-reviewed publications, book chapters, and has received accolades including the InSc Research Excellence Award. She is also a recognized Ph.D. guide, editor, and active member of several scientific committees and international advisory boards.

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Early Academic Pursuits

Dr. Shama Mujawar embarked on her academic journey with a B.Sc. in Biotechnology from Solapur University (2011), where she laid a solid foundation in molecular biology, immunology, and bioinformatics. She followed this with an M.Sc. in Bioinformatics (2013), achieving First Class with Distinction, and delved deeper into computational biology, structural biology, and programming. Her academic dedication culminated in a Ph.D. in Bioinformatics from Sunway University, Malaysia (2019), where she specialized in developing novel health interventions against multidrug-resistant bacteria, particularly focusing on genome analysis and antimicrobial resistance.

Professional Endeavors

Dr. Mujawar’s professional trajectory reflects an impressive mix of academic, research, and industry roles. She currently serves as an Assistant Professor at MIT ADT University, Pune, and has held similar roles at Dr. D.Y. Patil Biotechnology and Bioinformatics Institute and D.B.F. Dayanand College. Her research experience includes a significant tenure as a Research Associate in the SUNWAY-LANCASTER University Collaborative Project in Malaysia and earlier as an Application Scientist at RASA Life Science Informatics. Her global exposure and practical knowledge distinguish her as a seasoned educator and researcher in the bioinformatics domain.

Contributions and Research Focus On Bioinformatics 

Dr. Mujawar’s research contributions are wide-ranging and impactful. Her primary research revolves around genome analysis, computational drug design, and bioinformatics approaches to antimicrobial resistance (AMR). Her Ph.D. thesis laid the groundwork for identifying novel protein targets in AMR pathogens, and she continues to advance this research by analyzing expression patterns in prevalent bacterial strains. She has co-authored numerous book chapters on topics such as computational neuropharmacology, epigenetics in cystic fibrosis, and AI in bioinformatics, contributing significantly to the academic literature.

Impact and Influence

With more than 11.5 years of research experience, Dr. Mujawar has influenced the field of bioinformatics and precision medicine through her high-impact publications, conference presentations, and faculty development engagements. Her work in disease trigger prediction models, single-cell transcriptomics, and molecular interaction studies has found applications in epilepsy diagnosis, cancer biology, and infectious diseases. She is a recognized Ph.D. guide, a mentor to aspiring scholars, and a committed contributor to capacity building in biosciences.

Research Skills

Dr. Mujawar possesses an extensive array of technical and computational research skills. She is proficient in molecular docking (Schrodinger, Autodock), molecular dynamics (GROMACS, MOE), NGS data analysis (Galaxy, IGV), and network biology tools (STRING, Cytoscape). Her expertise spans gene expression profiling, structure-based drug design, computational simulations, and bioinformatics pipeline development, making her a versatile and valuable asset in both academic and translational research domains.

Awards and Honors

Dr. Mujawar has been widely recognized for her excellence. She received the InSc Research Excellence Award (2021) and was listed among the Top 50 Expert Faculties in Biotechnology Engineering (2020) by uLektz Learning. Notably, she was awarded a full scholarship for her Ph.D. and secured a Lancaster University travel grant. Her earlier accolades include Young Scientist Award and multiple Best Presentation and Trainer awards, reflecting her consistent performance and dedication.

Academic Cites and Editorial Roles

Dr. Mujawar holds esteemed editorial and reviewer positions. She is a book editor at Bentham Science Publishers, assistant editor at International Journal of Applied Chemical and Biological Sciences, and a reviewer for Computational Biology and Bioinformatics (Science Publishing Group). Her citations and contributions to peer-reviewed journals like Frontiers in Cellular and Infection Microbiology, Computational Biology and Chemistry, and Genomics & Informatics demonstrate her academic visibility and scientific rigor.

Legacy and Future Contributions

Dr. Shama Mujawar’s legacy is grounded in her dedication to bioinformatics education, research, and innovation. Her continuing contributions aim to bridge the gap between computational biology and real-world healthcare applications, particularly in epilepsy, antimicrobial resistance, and cancer. Her future work is set to explore next-generation drug targets, develop precision diagnostic tools, and mentor the next generation of interdisciplinary researchers. Her commitment to scientific excellence and knowledge dissemination ensures that her influence will resonate across global biomedical research communities.

Publications Top Notes

  • Advance precision medicine to combat colorectal cancer
    Book Chapter | Colorectal Cancer, Academic Press, 2024
    Authors: Mujawar, S. et al.

  • Optimization and Artificial Intelligence in Bioinformatics and Chemoinformatics
    Journal Article | Artificial Intelligence in Bioinformatics and Chemoinformatics, 2023
    Author: Shama Mujawar

  • Bridging Bioinformatics and Chemoinformatics Approaches in Public Databases
    Book Chapter | Artificial Intelligence in Bioinformatics and Chemoinformatics, CRC Press, 2023
    Authors: Mujawar, S., Joshi, M., Deshpande, A., Gherkar, A., Kolhe, S., & Prajapati, B. G.

  • COVID-19 progression towards ARDS: a genome-wide study reveals host factors underlying critical COVID-19
    Journal Article | Genomics & Informatics, 2023
    Authors: Mujawar, S., Patil, G., Suthar, S., Shendkar, T., & Gangadhar, V.

  • Design and In-silico Screening of Short Antimicrobial Peptides (AMPs) as Anti-Tubercular Agents Targeting INHA
    Journal Article | Current Bioinformatics, 2023
    Authors: Mehta, K., Vyas, P., Mujawar, S., Hazam, P. K., & Vyas, A.

  • Introduction to Human-Machine Interface
    Journal Article | Human-Machine Interface: Making Healthcare Digital, 2023
    Author: Shama Mujawar

  • Nanozymes: A Potent and Powerful Peroxidase Substitute to Treat Tumour Hypoxia
    Book Chapter | Smart Nanomaterials Targeting Pathological Hypoxia, 2023
    Author: Shama Mujawar

  • Optimization and Quantification of Uncertainty in Machine Learning
    Book Chapter | Artificial Intelligence in Bioinformatics and Chemoinformatics, 2023
    Authors: Mujawar, S., Tikhe, A., & Prajapati, B. G.

  • Role of Antimicrobial Peptides in Treatment and Prevention of Mycobacterium Tuberculosis: A Review
    Journal Article | International Journal of Peptide Research and Therapeutics, 2022
    Authors: Mehta, K., Sharma, P., Mujawar, S., & Vyas, A.
    DOI: 10.1007/s10989-022-10435-9

  • Strategic Role Players of Important Antimicrobial-Resistant Pathogens
    Journal Article | Antimicrobial Resistance—A One Health Perspective, 2021
    Author: Shama Mujawar

  • Strategic Role Players of Important Antimicrobial-Resistant Pathogens
    Book Chapter | Antimicrobial Resistance—A One Health Perspective, 2020
    Author: Shama Mujawar

  • Variant Analysis from Bacterial Isolates Affirms DnaK Crucial for Multidrug Resistance
    Book Chapter | Lecture Notes in Computer Science (LNCS), Springer, 2020
    Authors: Mujawar, S., Abd El-Aal, A. A. A., & Lahiri, C.
    DOI: 10.1007/978-3-030-45385-5_22

  • A Decade of Sustained Selection Pressure on Two Surface Sites of the VP1 Protein of Enterovirus A71…
    Journal Article | Scientific Reports, 2019
    Author: Shama Mujawar
    DOI: 10.1038/s41598-019-41662-8

  • Delineating the Plausible Molecular Vaccine Candidates and Drug Targets of Multidrug-Resistant Acinetobacter baumannii
    Journal Article | Frontiers in Cellular and Infection Microbiology, 2019
    Authors: Mujawar, S., Mishra, R., Pawar, S., Gatherer, D., & Lahiri, C.
    DOI: 10.3389/fcimb.2019.00203

  • A Side-Effect Free Method for Identifying Cancer Drug Targets
    Journal Article | Scientific Reports, 2018
    Author: Shama Mujawar
    DOI: 10.1038/s41598-018-25042-2

  • In Silico Identification of the Indispensable Quorum Sensing Proteins of Multidrug-Resistant Proteus mirabilis
    Journal Article | Frontiers in Cellular and Infection Microbiology, 2018
    Author: Shama Mujawar
    DOI: 10.3389/fcimb.2018.00269

  • Paradigm Shift in Drug Re-Purposing from Phenalenone to Phenaleno-Furanone…
    Journal Article | Frontiers in Cellular and Infection Microbiology, 2018
    Author: Shama Mujawar
    DOI: 10.3389/fcimb.2018.00402

  • Exploring the Pre-Erythrocytic Stage of the Malaria Parasite…
    Journal Article | International Journal for Computational Biology (IJCB), 2016
    Author: Shama Mujawar

Shihong Liu | Fuzzy system | Best Researcher Award

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Dr.  Shihong Liu | Fuzzy system | Best Researcher Award

Dr. Shihong Liu, Chengdu University of Information Technology, China

Dr. Shihong Liu, a highly promising young researcher from Chengdu University of Information Technology, specializes in artificial intelligence and brain-computer interface technologies. He has co-authored 10 SCI-indexed papers, including one in IEEE Transactions on Fuzzy Systems (IF 10.7). He has received multiple academic awards, including national competition prizes and scholarships. His research focuses on fatigue detection and machine learning models, showcasing strong skills in Python, Matlab, and C++.

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Early Academic Pursuits

Dr. Shihong Liu began his academic journey at Sichuan Tourism University, majoring in Food Science and Engineering from 2016 to 2020. During this undergraduate phase, he built a strong foundation in mathematics, probability, statistics, computer basics, and experimental analysis. His academic inclination was evident early on, as he actively engaged in research and academic competitions, publishing five papers in Chinese core journals and two in general journals. One of these papers received the Annual Excellent Article Award, highlighting his emerging research aptitude.

Professional Endeavors

Pursuing a career shift into computing, Dr. Liu enrolled at Chengdu University of Information Technology for a Master’s degree in Computer Science and Technology (2021–2024). Here, he mastered core computer science subjects such as data structures, operating systems, artificial intelligence, and algorithm design. He applied these learnings to the biomedical and neural interface domains, contributing to high-impact interdisciplinary projects and fostering collaboration across diverse research environments.

Contributions and Research Focus On Fuzzy system 

Dr. Liu’s research primarily focuses on artificial intelligence, brain-computer interfaces, and fatigue detection using machine learning. He has contributed significantly to fuzzy systems, transformer architectures, and EEG-based cognitive state recognition. His notable works include co-authoring an article in IEEE Transactions on Fuzzy Systems (IF: 10.7) and acting as a corresponding author for a paper in Cognitive Neurodynamics (IF: 3.1). His interdisciplinary approach merges computational methods with biomedical applications to address real-world problems like fatigue detection.

Impact and Influence

Through his publications and collaborative efforts, Dr. Liu has demonstrated a growing influence in the field of intelligent systems and neuroscience-inspired computing. His research has been published in high-impact Web of Science journals, and he has actively contributed to advancing the scientific understanding of human cognitive fatigue. His work not only supports academic inquiry but also has potential applications in health monitoring, transportation safety, and human-computer interaction.

Research Skills

Dr. Liu possesses strong technical skills in machine learning model development, data mining, and deep learning architecture implementation. He is proficient in programming languages such as Python, Matlab, and C++, and has experience in developing interpretable AI models for complex pattern recognition tasks. He excels at interdisciplinary teamwork and research execution, having successfully contributed to multiple funded projects and co-authored several publications.

Awards and Honors

Dr. Liu has received numerous accolades for his scholarly and competitive achievements. As an undergraduate, he published five articles in Chinese core journals, one of which earned the Excellent Article Award. He secured the Third Prize in the Provincial Challenge Cup Academic Competition and was the first host of award-winning innovation design competitions. At the master’s level, he authored and co-authored ten SCI papers, received the Third Prize in the National Biomedical Engineering Innovation Design Competition, and won awards in graduate-level mathematical modeling contests. He also earned a third-class academic scholarship for his graduate work.

Legacy and Future Contributions

With a solid academic foundation, technical expertise, and a growing portfolio of high-impact research, Dr. Liu is well-positioned to shape the future of cognitive computing and neuro-AI systems. He aspires to continue interdisciplinary collaborations that advance human-centered AI applications. His vision includes developing intelligent diagnostic tools and contributing to safer and smarter interfaces in transportation, healthcare, and robotics.

Publications Top Notes

Jingtao Zhang | Environmental | Best Researcher Award

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Prof. Jingtao Zhang | Environmental | Best Researcher Award

Prof. Jingtao Zheng,  Zhengzhou University of Light Industry, China.

Prof. Jingtao Zhang is a Full Professor at the College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, China. His research focuses on biological nanomaterials, photocatalytic disinfection, and food safety. He has published over 40 SCI papers in renowned journals like ACS Nano and Chemical Engineering Journal and holds seven Chinese invention patents. A recipient of the Henan Provincial Outstanding Young Scholar Award, he has guided numerous master’s students and actively contributes to scientific innovation and education.

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Early Academic Pursuits

Prof. Jingtao Zhang began his academic journey with a B.Sc. in Biotechnology from Henan University, followed by an M.Sc. in Biochemistry and Molecular Biology from the Chinese Academy of Agricultural Sciences. He earned his Ph.D. in Materials Science from the prestigious Institute of Metal Research, Chinese Academy of Sciences , laying a strong interdisciplinary foundation spanning biotechnology, molecular biology, and material science.

Professional Endeavors

Prof. Zhang joined the Zhengzhou University of Light Industry (ZZULI) in 2014 as a Lecturer and progressively rose through academic ranks. He served as Associate Professor from 2018 to 2023 and became a Full Professor in 2024 at the College of Tobacco Science and Engineering. He has also held key leadership roles as Director of the Experimental and Practical Teaching Center across different colleges. His international experience includes being a Visiting Scholar at Aalborg University, Denmark.

Contributions and Research Focus On Environmental 

Prof. Zhang’s research primarily explores biological nanomaterials, with a specialized focus on photocatalytic disinfection, nano-antibacterial agents, and food safety. His work investigates the biological effects of nanomaterials, particularly in relation to their interaction with microbial cells and the underlying mechanisms of photocatalytic sterilization. He has actively contributed to over eight national and provincial-level research projects, enhancing our understanding of nanotechnology’s role in environmental and agricultural biosafety.

Impact and Influence

Prof. Zhang has published over 40 SCI-indexed articles in top journals including ACS Nano, Chemical Engineering Journal, and Journal of Hazardous Materials. His work has been instrumental in understanding nanomaterial-pathogen interactions and enhancing photocatalytic technologies. He is widely cited in fields such as environmental engineering, agricultural microbiology, and applied nanoscience.

Research Skills

Prof. Zhang demonstrates advanced capabilities in nanomaterials synthesis, photocatalysis, microbial disinfection assays, and surface characterization techniques. His skillset includes fabrication of novel photocatalysts, cellular stress response analysis, and interdisciplinary applications integrating biology, chemistry, and materials science. His expertise in experimental design and mentorship has led to the successful guidance of 15 master’s students, reinforcing his role as a scientific mentor and educator.

Awards and Honors

A recipient of the Henan Provincial Natural Science Foundation Outstanding Young Scholar Project, Prof. Zhang is recognized as a young backbone teacher in higher education and an outstanding academic talent at ZZULI. These distinctions acknowledge his research excellence, pedagogical contributions, and commitment to regional scientific development. His leadership in high-level research projects underscores his prominence in China’s scientific community.

Legacy and Future Contributions

Prof. Zhang is poised to further influence the future of sustainable nanomaterials and antimicrobial strategies through ongoing research and innovation. His integrative approach to material science and biology is vital for developing next-generation solutions to combat antibiotic-resistant pathogens and enhance environmental hygiene. His legacy is defined by translational research, innovation-driven teaching, and the cultivation of future scientific leaders.

Publications Top Notes

SRS: An intelligent and robust approach for confirmation of plant transcription factor–DNA interactions
Plant Biotechnology Journal, 2025
Citations: 2

Preparation and Antibacterial Performance Study of CeO₂/g-C₃N₄ Nanocomposite Materials
Molecules, 2024
Citations: 3

Copper doping and oxygen vacancy synergistic modification of zinc oxide nanosheets: Significantly improved antibacterial properties
Materials Letters, 2024
Citations: 1

Synthesis of carbon nitride nanosheets with N vacancies boosted by S doping for photocatalytic efficient killing of E. coli under visible light
Journal of Water Process Engineering, 2024
Citations: 2

Shaohua You | Pain | Best Researcher Award

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Dr. Shaohua You | Pain | Best Researcher Award

Dr. Shaohua You, First Hospitals affiliated to the China PLA General Hospital , China.

Dr. Shaohua You , Ph.D., serves as Deputy Administrative Director in the Department of Pain Management at the First Medical Center, PLA General Hospital. A CPC member and graduate of PLA Medical College, he specializes in pain mechanisms, chronic pain therapy, and neuropsychiatric comorbidities. Dr. You has authored numerous high-impact SCI papers and pioneered clinical techniques like 3D-printed templates for neuralgia. His research bridges neuroscience with anesthesiology, earning him recognition as a forward-thinking leader in pain medicine.

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🎓 Early Academic Pursuits

Dr. Shaohua You began his academic journey at the PLA Medical College, where he demonstrated a profound interest in clinical sciences. His dedication and scholarly aptitude led him to pursue a Doctorate (Ph.D.) in pain medicine. His formative years were shaped by rigorous medical education and a strong foundation in clinical research, which laid the groundwork for his specialized work in pain management and neuropsychology.

💼Professional Endeavors

Currently serving as the Deputy Administrative Director of the Department of Pain Management at the First Medical Center of the General Hospital of the People’s Liberation Army, Dr. You plays a dual role in both clinical leadership and academic advancement. His responsibilities span policy implementation, departmental administration, and mentoring young clinicians in advanced pain therapy techniques.

🔬 Contributions and Research Focus On Pain 

Dr. You’s primary research interests revolve around chronic pain mechanisms, depression comorbidity, and innovative pain treatment strategies. His work integrates clinical observations with neurobiological pathways, particularly focusing on targets like the BDNF-TrkB and ERK1/2 signaling pathways. He also explores ultrasound-guided interventions and novel neurotherapeutic technologies such as 3D-printed templates for neuralgia treatments.

🌍 Impact and Influence

Dr. You’s research has contributed to deeper understandings of the link between anesthesia and mental health outcomes, especially in elderly populations. His findings have implications for postoperative care, cognitive performance, and interventional neurology, enhancing standards in both civilian and military medical institutions. His work is widely cited, influencing policy and practice in pain medicine.

🧠 Research Skills

Dr. You exhibits robust expertise in clinical study design, Mendelian randomization, statistical cohort analysis, and retrospective clinical research. He is proficient in using neuroimaging, biomarker analysis, and interventional pain procedures, and has a strong command of data interpretation, which reinforces the reliability of his outcomes.

🏅 Awards and Honors

Dr. You’s innovative contributions and consistent publication record have earned him recognition within the Chinese medical research community. His lead authorship in top-tier journals such as Journal of Psychiatric Research and Journal of Pain Research reflect his standing as a respected voice in the field of pain and psychiatric comorbidities.

🏛️ Legacy and Future Contributions

Dr. You is poised to further expand the interdisciplinary boundaries of pain medicine, integrating technological innovations with traditional interventions. His focus on long-term outcome studies, mental health integration, and customized therapeutic strategies highlights his commitment to evidence-based medicine. His future endeavors aim to build bridges between research, education, and clinical care, leaving a lasting legacy in military and civilian healthcare systems.

Publications Top Notes

📘 1. Causal relationship and mediating role between depression and cognitive performance
🧠💭🧪
Authors: Hao X, Cao F, Xu Z, et al.
Role: Co-first author (Dr. You)
Journal: The Journal of Prevention of Alzheimer’s Disease, 2025: 100196

🧬 2. Sevoflurane exerts antidepressant-like effects via the BDNF-TrkB pathway
🧠💉🌿
Authors: You S, Wu Y, Guo Y, et al.
Role: First author
Journal: Behavioral Brain Research, 2024, 463: 114918

🧪 3. Activation of the ERK1/2 pathway mediates the neuroprotective effect provided by calycosin treatment
🧠🧬🌸
Authors: You S, Wang Y, Guo Y, et al.
Role: First author
Journal: Neuroscience Letters, 2023, 792: 136956

🛌 4. Effects of volatile anesthetics on the incidence of postoperative depression and anxiety symptoms in elderly patients
💉😟🧓
Authors: You S, Hao X, Cao F, et al.
Role: First author
Journal: Journal of Psychiatric Research, 2025, 181: 179–187

🤰 5. Herpes Zoster in Pregnancy: Clinical Outcomes and Treatment Patterns
🦠👶🏽📊
Authors: Xu H, Qin X, Feng Z, et al.
Role: Corresponding author
Journal: Journal of Pain Research, 2025, 18: 1817–1826

💉 6. Long-Term Follow-Up of Ultrasound-Guided Glossopharyngeal Nerve Block for Neuralgia
🧠🔍📅
Authors: You S, Qin X, Tong L, et al.
Role: First author
Journal: Journal of Pain Research, 2024, 17: 913–921

🧠 7. Personalized 3D Printed Template for Radiofrequency Thermocoagulation in Trigeminal Neuralgia
🖨️🧠📐
Authors: You S, Qin X, Zhao G, et al.
Role: First author
Journal: Journal of Pain Research, 2024, 17: 2347–2356

🧬 8. Assessing the Causal Effect of Pulse Pressure on Migraine Risk: A Mendelian Randomization Study
🧠💓🧬
Authors: Xu H, Qin X, Feng Z, et al.
Role: Corresponding author
Journal: Journal of Pain Research, 2025, Volume 18: 3159–3170

Yong Liu | Molecular Biology | Best Researcher Award

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Mr. Yong Liu | Molecular Biology | Best Researcher Award

Mr. Yong Liu, Southwest University, China.

🧑‍🔬 Mr. Yong Liu is a passionate Master’s student at Southwest University. 🏫 He focuses on Bombyx mori 🐛 and CRISPR/Cas9 gene editing 🧬. With a first-author publication in the International Journal of Biological Macromolecules, he explores how BmPriS influences silk gland growth. 📄 His strengths lie in data analysis 📊, methodology design 🔬, and scientific writing ✍️. As an emerging researcher, Yong Liu is committed to advancing genetic studies and contributing meaningfully to molecular science. 🌟

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🎓 Early Academic Pursuits

Mr. Yong Liu is currently a third-year postgraduate student at Southwest University, China, pursuing a Master’s degree in the field of Biological Sciences. His academic journey reflects a deep-rooted interest in molecular biology and insect genetics, particularly focusing on Bombyx mori, the domestic silkworm. His early academic endeavors laid a strong foundation in genetic engineering techniques, including CRISPR/Cas9, positioning him for impactful contributions to the field of entomological biotechnology.

💼Professional Endeavors

Though still in the academic phase of his career, Mr. Liu has already ventured into scientific publishing, a significant milestone for any early-career researcher. He authored a peer-reviewed article in the International Journal of Biological Macromolecules, examining the role of BmPriS in promoting silk gland growth. His professional development is driven by methodological rigor, analytical depth, and a commitment to original scientific inquiry.

🔬 Contributions and Research Focus On Molecular Biology

Mr. Liu’s primary research interests lie in the study of Bombyx mori (silkworm) and the use of CRISPR/Cas9 gene editing technology. His notable contribution, published in the International Journal of Biological Macromolecules, explores how BmPriS promotes silk gland growth by regulating endoreplication in silkworms. He played a critical role in writing, editing, and conducting investigations during the project, offering insights into the molecular mechanisms influencing silk production.

🌍 Impact and Influence

Despite being early in his career, Mr. Liu’s work has been recognized internationally, with his article being indexed in SCI/Scopus and accessible via Elsevier. His research contributes to the understanding of genetic regulation in insects, a field with implications for both biotechnology and agriculture.

🧠 Research Skills

Mr. Liu possesses a robust set of research competencies, including:

  • CRISPR/Cas9 genome editing

  • Molecular biology techniques

  • Data analysis and visualization

  • Scientific writing and review

  • Formal experimental design

His hands-on experience in data curation, methodology, and original drafting affirms his proficiency in managing and executing complex biological research.

🏅 Awards and Honors

Mr. Liu has applied for the Young Scientist Award, showcasing his ambition to be recognized for his early but significant contributions to the field. While formal accolades are yet to be listed, the quality of his publication and indexed citation indicates high potential for future honors.

🏛️ Legacy and Future Contributions

Mr. Liu’s current work on the genetic enhancement of silk glands is poised to contribute significantly to the fields of molecular entomology, agricultural biotechnology, and genetic engineering. As he advances his academic career, his application of CRISPR/Cas9 technologies could lead to innovations with both scientific and commercial relevance. His dedication to original research and data integrity suggests a promising trajectory in academia and beyond.

Publications Top Notes

  1. 🧬 BmPriS promotes silk gland growth by regulating endoreplication in silkworm
    📖 Journal: International Journal of Biological Macromolecules
    👨‍🔬 Authors: Yong Liu, Zhengyi Li, Lili Zhou, Wenyi Jia, Zichong Zhou, Ying Yang, Yue Sun, Ping Lin, Guanwang Shen, Qingsong Liu et al.
    🧵 Keywords: Silkworm 🐛, Silk gland development 🧪, Endoreplication 🔄

  1. 🧫 CRISPR/Cas9-Mediated Knockout of BmGDAP2 in the Silkworm, Bombyx mori: Extended Lifespan and Altered Gene Expression Impacting Developmental Pathways
    📖 Journal: Insects
    👨‍🔬 Authors: Chaojun Yuan, Zichong Zhou, Qifeng Guo, Ying Yang, Yue Sun, Yong Liu, Wenyi Jia, Shuoqi Fan, Jinxin Wu, Xiaoting Hua et al.
    🧬 Keywords: CRISPR/Cas9 🧫, Genetic modification 🧠, Developmental biology 📈, Bombyx mori 🐛

Ahmad Malkawi | Pharmaceutical Sciences | Innovation Excellence Award

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Assist. Prof. Dr. Ahmad Malkawi | Pharmaceutical Sciences | Innovation Excellence Award

Assist. Prof. Dr. Ahmad Malkawi, Cyprus International University, Jordan.

🧬 Dr. Ahmad Saleh Hussein Malkawi is a dedicated pharmaceutical scientist and educator with expertise in nanotechnology-based drug delivery, clinical pharmacy, and pharmaceutical technology. 🧪 He has published in top-tier journals like Pharmaceutics and Molecular Pharmaceutics, and actively contributes as a reviewer and editorial board member. 🌍 With experience spanning Jordan, Cyprus, Austria, and Australia, he bridges innovative research with clinical practice. 🎓 His global academic journey and translational work make him a leading voice in pharmaceutical innovation. 💡

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SCOPUS ID

🎓 Early Academic Pursuits

Dr. Malkawi began his academic journey by earning his Doctor of Pharmacy (PharmD) from Jordan University of Science and Technology. He further pursued a Master’s in Clinical Pharmacy from Charles Sturt University, Australia, followed by a PhD in Pharmaceutical Sciences at Cyprus International University. His doctoral training was enriched by extensive research collaboration across leading Austrian institutions, including the University of Innsbruck, University of Vienna, and Medical University of Vienna, where he focused on medicinal chemistry, ion channels, and neuropharmacology.

💼 Professional Endeavors

Dr. Malkawi served as an Assistant Professor at the Faculty of Pharmacy, Cyprus Health and Social Sciences University, where he taught a broad spectrum of pharmacy disciplines. Additionally, he worked as a clinical and hospital pharmacist at King Abdullah University Hospital, integrating patient-centered care with pharmacotherapeutic insights.

🔬 Contributions and Research Focus On Pharmaceutical Sciences 

His contributions span nanotechnology-based drug delivery, including Self-Emulsifying Drug Delivery Systems (SEDDS), zeta-potential-shifting micelles, and sustained-release polymer-drug complexes. His research has been published in esteemed journals such as Pharmaceutics, Molecules, Molecular Pharmaceutics, and the Journal of Pharmaceutical Sciences.

🌍 Impact and Influence

By bridging bench research and bedside practice, Dr. Malkawi’s work influences both the pharmaceutical industry and clinical pharmacotherapy. His academic rigor and translational research strategies contribute significantly to pharmaceutical education, drug formulation, and patient care methodologies.

🧠 Research Skills

He is highly skilled in:

  • Drug synthesis and purification

  • Characterization of pharmaceutical compounds

  • Mechanical dynamic simulations for receptor analysis

  • Ion channel physiology

  • Nanomedicine and advanced drug delivery systems

🏅 Awards and Honors

Dr. Malkawi has gained recognition through editorial board memberships, international conference presentations, and his role as a peer reviewer for Springer Nature journals. His ongoing scholarly presence cements his reputation as a global contributor to pharmaceutical sciences.

🏛️ Legacy and Future Contributions

With a vision focused on the integration of clinical practice and advanced drug technologies, Dr. Malkawi aims to further revolutionize translational pharmaceutical research. His upcoming publications and editorial engagements will continue shaping the future of pharmaceutical education and nanotechnology.

Publications Top Notes

📄 Title: Impact of Biofilms on Healthcare Settings and Management Strategies

 Topic:c Biofilms 🦠, infection control 🏥, healthcare management 💉

Jinyang Guo | Artificial Intelligence | Best Researcher Award

Published on by Best Achievements

Assist. Prof. Dr. Jinyang Guo | Artificial Intelligence | Best Researcher Award

Assist. Prof. Dr. Jinyang Guo, Beihang University, China.

Dr. Jinyang Guo is an Assistant Professor at Beihang University, China, specializing in efficient AI computing 🖥️. A recipient of China’s prestigious National Youth Talent Program 🇨🇳, he has published 40+ papers in top-tier venues like ICML and CVPR 📚. . His research excellence is complemented by patents, IEEE awards 🏅, and active roles in global AI conferences 🌐.

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🎓 Early Academic Pursuits

Dr. Jinyang Guo began his academic journey in Australia, earning a Bachelor of Engineering (Honors) in Electrical Engineering from The University of New South Wales with First Class Honours and placement on the Dean’s Award List (top 5%) from 2014 to 2017. He pursued a Ph.D. in Electrical and Information Engineering at The University of Sydney, focusing on efficient and scalable machine learning, where he was supported by prestigious scholarships including the USydIS and ARC-backed fellowships.

💼 Professional Endeavors

Currently serving as an Assistant Professor at the School of Artificial Intelligence, Beihang University, China, Dr. Guo specializes in efficient AI computing. He has emerged as a lead researcher in several national and industrial projects, overseeing more than 10 competitive grants and spearheading initiatives in AI deployment for UAVs, model compression, and human-machine hybrid systems. He also plays active roles in international academic circles through workshops, guest editorships, and conference organizations.

🔬 Contributions and Research Focus On Artificial Intelligence

Dr. Guo’s research focuses on model compression, AI efficiency, sparsity, and scalable learning, addressing real-world challenges in deploying AI on edge and embedded systems. His pioneering work includes multidimensional pruning frameworks, 3D action recognition, and language model compression, bridging fundamental AI theory with impactful applications. His contributions also span human-machine alignment, video diffusion, and efficient large language models.

🌍 Impact and Influence

With over 40 high-impact publications in IEEE Transactions and elite venues such as ICML, CVPR, AAAI, and NeurIPS, Dr. Guo has gained global recognition in AI and machine learning. His research has influenced both academic and industrial practices, contributing significantly to robust model design and resource-constrained AI deployment. His awards include the ICCV Doctoral Consortium Award and 2nd Place in the IEEE Autonomous UAV Challenge 2023, affirming his standing as a rising leader in the field.

🧠 Research Skills

Dr. Guo possesses robust skills in model pruning, quantization, and neural network optimization. He is adept at developing scalable solutions for real-world AI applications, such as UAVs and embedded systems. His expertise also spans human-machine alignment, point cloud processing, and transformer-based 3D object detection.

🏅 Awards and Honors

He is a recipient of the ICCV Doctoral Consortium Award, 2nd Place in the 2023 IEEE Autonomous UAV Chase Challenge, and multiple prestigious scholarships, including the University of Sydney International Scholarship, Postgraduate Research Supplementary Scholarship, and Engineering and IT Research Scholarship, amounting to over $147,000 USD in academic suppo

Md Khalid Hossen | Environmental Engineering | Best Researcher Award

Published on by Best Achievements

Dr. Md Khalid Hossen | Environmental Engineering | Best Researcher Award

Dr. Md Khalid Hossen, Research Center for Information Technology, Academia Sinica, Taiwan.

Dr. MD Khalid Hossen 🎓 is a Ph.D. researcher in Social Networks and Human-Centered Computing at National Chengchi University, Taiwan. His work focuses on PM2.5 pollution prediction, time series analysis, and neural networks 🤖. With multiple publications in renowned journals 📚 and hands-on experience in AI projects, he blends data science with real-world solutions 🌍. Dr. Hossen is skilled in Python, machine learning, and statistical analysis, making him a promising contributor to global scientific innovation 🚀.

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🎓 Early Academic Pursuits

Dr. MD Khalid Hossen began his academic journey in Electronics and Communication Engineering at Khulna University, Bangladesh, focusing his thesis on reducing PAPR in OFDM systems. He pursued a Master’s in Computer Science Engineering from UESTC, China (2016–2018), where he developed expertise in statistical analysis through web crawling techniques. Currently, he is completing a Ph.D. in Social Networks and Human-Centered Computing (SNHCC) at National Chengchi University and Academia Sinica, Taiwan , under the guidance of Prof. Meng Chang Chen.

💼 Professional Endeavorsc

Dr. Hossen has worked in both academia and industry. He served as a Part-Time Lecturer at Daffodil Institute of IT, Dhaka and worked as an Engineer at ROBI, Bangladesh. His professional roles have been instrumental in bridging theoretical research with real-world applications.

🔬 Contributions and Research Focus On Environmental Engineering

His research expertise spans Time Series Data, PM2.5 Pollution Prediction, Neural Networks, Statistical and Data Analysis, and Human-Centered Computing. He has led multiple projects in machine learning, including COVID-19 detection, flight delay prediction, and health diagnosis systems, utilizing cutting-edge tools like PyTorch, TensorFlow, and NLP frameworks.

🌍 Impact and Influence

Dr. Hossen’s work on PM2.5 forecasting using neural networks is published in top-tier journals such as PLOS ONE and Scientific Reports. His interdisciplinary research integrates AI with environmental data, offering practical solutions for pollution forecasting and public health safety.

🧠 Research Skills

Dr. Hossen is proficient in:

  • Programming: Python, C++, Java, R, MATLAB, SQL

  • Machine Learning: PyTorch, TensorFlow, Keras, XGBoost

  • Data Tools: Pandas, NumPy, Seaborn, ggplot2
    His capabilities cover model design, data mining, visualization, and predictive analytics with high precision and innovation.

🏅 Awards and Honors

  • TIGP Fellowship, Taiwan (2018–2025) 🎓

  • Excellent Performance Award, UESTC, China (2016) 🌟

  • Academic Scholarship, UESTC (2016–2018) 🎖️

🏛️ Legacy and Future Contributions

Dr. Hossen is committed to advancing AI-driven environmental analytics and human-centered technology design. His future contributions aim to harness deep learning for sustainable development, particularly in climate science and public health prediction systems, leaving a significant legacy in AI for social good.

Publications Top Notes

📄 Title: Crosstalk Noise Modeling Analysis for RC Interconnect in Deep Sub-Micron VLSI Circuit
📘 Journal: Communications on Applied Electronics
🔢 Citations: 6
📅 Year: 2017
📌 Authors: MS Uzzal, MK Hossen, A Ahmad
🔬 Emoji: 🧠💡

📄 Title: Optical Parameters Analysis of Photonic Crystal Fiber with Rectangular Lattice Geometry
📘 Journal: Journal of Scientific Research and Reports
🔢 Citations: 5
📅 Year: 2017
📌 Authors: MB Hossain, MA Kabir, AAM Bulbul, E Podder, MK Hossen
🔬 Emoji: 🔍📡

📄 Title: Statistical Analysis of Extracted Data from Video Site by Using Web Crawler
📘 Conference: 2018 International Conference on Computing and Artificial Intelligence (ICCAI)
🔢 Citations: 4
📅 Year: 2018
📌 Authors: MK Hossen, Y Wang, HA Tariq, G Nyame, RE Nuhoho
🔬 Emoji: 📊🤖

📄 Title: Hexagonal Photonic Crystal Fiber with Small Effective Area and Zero Waveguide Dispersion
📘 Conference: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
🔢 Citations: 1
📅 Year: 2019
📌 Authors: MA Mukit, AAM Bulbul, MB Hossain, GMA Al Mamun, MK Hossen, et al.
🔬 Emoji: 🧬🌐