Chaosheng Luo | Agricultural and Biological Sciences | Best Research Article Award

Dr. Chaosheng Luo | Agricultural and Biological Sciences | Best Research Article Award

Yunnan agricultural university China

Chaosheng Luo is a dedicated young scholar at Yunnan Agricultural University, currently on the verge of completing a doctoral degree. 🌾 His research focuses extensively on intercropping systems for disease control and yield enhancement. With a deep passion for agroecological balance and sustainable farming systems, Luo has consistently contributed innovative solutions to complex plant pathology challenges, positioning himself as a promising voice in agricultural sciences.

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🎓 Education

Chaosheng Luo is currently pursuing his Doctoral Degree in Agriculture, specializing in intercropping strategies to combat plant diseases while increasing crop productivity. His academic path has been marked by rigorous training in plant pathology, soil biology, and sustainable farming practices, laying a strong foundation for impactful scientific contributions.

💼 Experience

Luo has several years of hands-on and theoretical research experience, particularly in intercropping-based disease suppression, crop yield enhancement, and soil–plant interactions. He has actively contributed to key national-level research initiatives and participated in high-impact scholarly communication through journals and research platforms. He also collaborates with leading experts in agronomy and plant sciences through various multidisciplinary projects.

🔬 Research Interests

His core research interests include plant–soil–microbe interactions, intercropping systems, plant disease management, soil health, and sustainable agriculture. Luo is especially interested in understanding how plant diversity in cropping systems can naturally suppress diseases and reduce chemical inputs, ultimately supporting food security and environmental health.

🏆 Awards

Currently nominated for the Best Research Scholar Award, Luo’s dedication to innovation and sustainability in agricultural research has garnered national attention. His achievements, including participation in prestigious research grants and contributions to internationally recognized journals, highlight his growing influence in the academic community.

📚 Publications Top Notes: 

Chaosheng Luo has published impactful research in several SCI-indexed journals. One notable publication is:

Luo, C. et al. (2025). Rhizosphere microorganisms link the belowground processes of intercropping to disease suppression

Appropriate nitrogen supply and intercropping reduce epidemics, the compound disease of faba bean, and yield and economic losses

Optimization of N Fertilizer and Synergistic Intercropping to Enhance the Productivity Advantage of Faba Bean and Effective Control of Chocolate Spot Epidemics

Enhancing soil properties, soil-borne diseases control, and quality through selecting high C/N agricultural waste during reductive soil disinfestation for continuous tobacco cropping

Impact of Bacillus subtilis and Pseudomonas fluorescens beneficial bacterial agents on soil-borne diseases, growth, and economics of continuous cropping of flue-cured tobacco

The severity and yield effects of the chocolate spot disease in faba bean affected by intercropping and nitrogen input

Effect of Enhanced Organic Material Addition during Reductive Soil Disinfestation on Disease Resistance, Yield Increase, and Microbial Community in Flue-Cured Tobacco

Co‐culture of faba bean with wheat provides evidence for intercropping faba bean to alleviate the occurrence of Fusarium wilt under the autotoxic stress of salicylic acid

Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

University of Bremen Germany

Abdelrhman Bassiouny is a passionate Egyptian robotics researcher specializing in marine robotics, autonomous systems, and AI-powered disassembly. With international experience across Germany, France, and Egypt, he combines technical mastery in robotics with a strong academic background. He thrives in hands-on innovation, contributing to cutting-edge projects from underwater VSLAM to robotic e-waste disassembly. 🌊🤖

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🎓 Education

Abdelrhman is currently completing his Erasmus Mundus Joint Master’s Degree in Marine & Maritime Intelligent Robotics (MIR), where he studied at Université de Toulon (France) and Universidad Jaume I (Spain). He graduated with honors in Mechatronics & Automation Engineering from Ain Shams University, Egypt. He also expanded his knowledge through specialized online courses in Deep Learning, Self-Driving Cars, and Project Management. 📘🌍
🔗 Master MIR Program
🔗 Ain Shams University

🛠️ Experience

Abdelrhman brings versatile research and teaching experience:

  • Master Thesis Intern at University of Bremen (Germany): Developed a query interface and machine learning pipeline for NEEMs robotics database.

  • Underwater VSLAM Intern at Laboratoire COSMER (France): Benchmarked SLAM algorithms using BlueROV in collaboration with IFREMER.

  • Research Assistant at Ain Shams University (Egypt): Led autonomous robotic disassembly projects, winning 3rd place in Robothon 2021.

  • Teaching Assistant at Ain Shams University: Taught ROS-based robotic control and supervised final-year projects.
    🌐 LinkedIn | 🌍 Personal Website

🔬 Research Interests

Abdelrhman’s research centers on:

  • Autonomous Robotics & Human-Robot Interaction 🤝

  • Symbolic Reasoning & Knowledge Representation 🧠

  • Underwater SLAM and Marine Robotics 🌊

  • E-waste Disassembly Automation using AI ♻️

  • ROS, TensorFlow, and Vision-based Robotics 📷

🏆 Awards

  • 🥇 Best Scientific Methodology AwardRoboCup MSL 2022 (Thailand)
    RoboCup 2022 History

  • 🥈 Runner-UpMIR Championship – Guerledus Challenge 2022
    Challenge Info

  • 🥉 3rd Place + Lightning Speed AwardRobothon Grand Challenge 2021 (TUM, Germany)
    Robothon Video

📚 Publications Top Notes: 

Prompt: Publications with hyperlinks, published year, journal (if applicable), and citation details in paragraph form.

Abdelrhman has authored two impactful research publications related to robotic disassembly of electronic waste:

“Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly” (2021) – This paper evaluates vision-based algorithms for component detection, supporting more efficient and sustainable e-waste recycling.
🔗 View Publication
📈 Cited by: Google Scholar results

“Autonomous Non-Destructive Assembly/Disassembly of Electronic Components using A Robotic Arm” (2021) – Introduced a robotic system for semi-destructive disassembly using ROS and vision systems.
🔗 View Publication
📈 Cited by: Google Scholar results

Yuchun Wei | Medicine and Health Sciences | Best Researcher Award

Assoc. Prof. Dr. Yuchun Wei | Medicine and Health Sciences | Best Researcher Award

Shandong Cancer Hospital China

Dr. Yuchun Wei is a leading Chinese physician-scientist in the field of oncology and nuclear medicine, currently working at the Shandong Cancer Hospital in Jinan, China. Born on November 22, 1987, she has contributed significantly to developing innovative imaging techniques for cancer diagnosis, staging, and individualized treatment planning. With deep expertise in PET/CT imaging biomarkers, she is committed to advancing precision oncology. 📡🧬

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🎓 Education

Dr. Wei pursued her academic journey with a strong foundation in both Western and traditional Chinese medicine:

  • Ph.D. in Oncology from Shandong University (2018–2022), mentored by Academician Jinming Yu 🎓
  • Master’s in Oncology from Jinan University (2013–2016), under Prof. Shuanghu Yuan 🔬
  • Bachelor’s in Traditional Chinese and Western Clinical Medicine from Shandong University of Traditional Chinese Medicine (2007–2012) 🌿

💼 Professional Experience

Dr. Wei currently serves as a radiotherapy physician at Shandong Cancer Hospital (2017–present). She has also held several administrative and research leadership roles:

  • Deputy Director, MDT Quality Management Office (2021–2022)
  • Assistant Director, Radioimmunity and Molecular Imaging Room (2020–2021)
    Her clinical expertise is complemented by her operational leadership in multidisciplinary cancer care. 🏥⚕️

🔬 Research Interests

Her research revolves around novel imaging techniques, especially FAPI-based PET/CT imaging, with a focus on early detection, prognosis prediction, and therapy monitoring for cancers such as lung, esophageal, and cervical. Her goal is to refine personalized cancer treatment through quantitative imaging biomarkers. 🔍📊

🏆 Awards & Honors

Dr. Wei has been nominated for multiple research and innovation awards in recognition of her work in molecular imaging and radiation oncology. Her studies have earned significant visibility in top-tier journals (JCR Q1), and she is regarded as a rising star in clinical translational imaging. 🌟

📚 Publications Top Notes: 

Dr. Wei has authored and co-authored over 17 high-impact peer-reviewed papers, most of which appear in JCR Q1 journals. Here are her key publications with direct links and citation highlights:

FAPI Compared with FDG PET/CT for Lung Cancer Diagnosis
Radiology, 2023, IF: 19.7 | Cited by: 33

18F-FAPI PET/CT in Esophageal SCC Response Prediction
J Nucl Med, 2024, IF: 9.1 | Cited by: 12

Early Detection of Radiation-Induced Myocardial Damage
Eur J Nucl Med Mol Imaging, 2023, IF: 10.057 | Cited by: 40

18F-FAPI PET/CT Response in Chemoradiotherapy for ESCC
J Nucl Med, 2023, IF: 11.082 | Cited by: 25

Biodistribution and Targeting of 18F-FAPI-04
Eur J Nucl Med Mol Imaging, 2022, IF: 10.057 | Cited by: 37

Differentiating Lung Cancer Types via PET/CT
Eur J Nucl Med Mol Imaging, 2022, IF: 10.057 | Cited by: 31

Baseline Angiogenesis in NSCLC Prognosis
J Transl Med, 2022, IF: 8.44 | Cited by: 19

Differentiating Inflammatory Lung Lesions with FAPI
Eur Radiol, 2023, IF: 5.9 | Cited by: 10

Comparison Study in Mouse Model using PET Imaging
Sci Rep, 2016, IF: 5.228 | Cited by: 50

Radiation-Induced Lung Damage Model in Rats
Front Oncol, 2022, IF: 5.738 | Cited by: 14

Mawahib A AHMED | Immunology and Microbiology | Best Researcher Award

Dr. Mawahib A AHMED | Immunology and Microbiology | Best Researcher Award

Qassim University Saudi Arabia

Dr. Mawahib Al-Haj Ali Ahmed is a distinguished Professor of Microbiology at the College of Applied Medical Sciences, Qassim University, Saudi Arabia. With over a decade of experience in parasitology, microbiology, and veterinary medicine, she has significantly contributed to understanding and controlling intestinal nematodes using plant-based and biological agents. Fluent in both Arabic and English, she has an international academic and research footprint, having worked extensively in South Africa and Sudan before moving to Saudi Arabia.

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🎓 Education

Dr. Mawahib earned her Ph.D. in 2013 from the University of KwaZulu-Natal, South Africa, where her dissertation focused on the Integrated Control of Gastrointestinal Nematodes Using Medicinal Plants and Biocontrol Agents. She completed her Master’s degree in 2010 at the same institution, researching Gastrointestinal Nematodes in Small Ruminants: Epidemiology, Anthelmintic Efficacy, and Tannin Effects. Her academic journey began with a Bachelor of Veterinary Medicine (Honors) in 2005 from the University of Khartoum, Sudan.

💼 Experience

Dr. Ahmed has held multiple research and academic roles. She currently serves as a Professor at Qassim University. Previously, she was a Research Fellow and Principal Researcher at the University of KwaZulu-Natal, working on parasite control in livestock. She also served as a Lecturer in Animal Health and contributed to plant chemical analysis with ICFR. Her expertise includes diagnostic parasitology, laboratory microbiology, and veterinary education, as well as participation in multiple international conferences and collaborative research projects.

🔬 Research Interests

Her research focuses on the biological control of parasitic diseases, especially using medicinal plants and fungi. She is particularly interested in tackling liver flukes and gastrointestinal nematodes, diseases with major impacts on both animal and human health. Dr. Ahmed also works on epidemiological mapping, parasite resistance, and environmentally sustainable veterinary interventions. Her work bridges traditional parasitology with modern microbiological techniques.

🏆 Awards & Memberships

Dr. Mawahib is a proud member of several professional societies, including the South African Society of Animal Science (SASAS), the Golden Key Society (UKZN), the Sudan Veterinary Council, and the Sudan Veterinary Union. She has participated in continental forums such as the CAADP Partnership Platform Meetings in South Africa. Her academic achievements and community impact have positioned her as a leading figure in veterinary parasitology in Africa and the Middle East.

📚 Publications Top Notes: 

Here are Dr. Ahmed’s notable peer-reviewed publications, complete with hyperlinks, journals, and citation format:

Ahmed M. and Alharbi B. (2025). Epidemiological Trends and Progress in Schistosomiasis Elimination in Saudi Arabia (2021–2023).
👉 Journal of Epidemiology and Global Health, 15(45).
📝 Cited by articles pending due to recent publication.

Ahmed M., Elamin A., Baha Saeed M., Laing M. (2024). Ovicidal effect of ethanolic extracts of selected plants on eggs of liver flukes in vitro.
👉 Helminthologia, 61(4): 300–307.
📝 Cited by 1 article (as of 2025).

Alharbi B. and Ahmed M. (2024). Epidemiological Mapping of Cutaneous Leishmaniasis in Saudi Arabia.
👉 Journal of Epidemiology and Global Health, 14(3): 1281–1288.
📝 Cited by 2 articles.

Ketshabile W.G., Moyo M., Ahmed M., Nsahlai I.V. (2019). Feeding behavior of sheep and goats grazing on grass-legume pastures.
👉 Journal of Animal Nutrition and Feed Technology, 1(1): 003.
📝 Cited by 5 articles.

Ahmed M.A., Basha N.A., Laing M., Nsahlai I.V. (2017). Aloe ferox effects on nematodes and sheep weight gain.
👉 HSOA Journal of Animal Research and Veterinary Science, 1(1): 003.
📝 Cited by 7 articles.

Ahmed M.A. (2016). Seasonal dynamics of internal parasite infections in small ruminants.
👉 U. of K. Journal of Veterinary Medicine and Animal Production, 7(1): 14–21.
📝 ISSN: 243456Cited by 3 articles.

Ahmed M.A. et al. (2015). Forage degradability across seasons and species in South Africa.
👉 African Journal of Agricultural Research, 10(11): 1312–1319.
📝 Cited by 9 articles.

Ahmed M.A., Basha N.A., Laing M., Nsahlai I.V. (2014). Wattle tannins for nematode control in sheep.
👉 Proceedings of the Australian Society of Animal Production, 30.
📝 ISBN: 0728-5965Cited by 4 articles.

Jebin Samuvel T | Engineering | Global Impact in Research Award

Mr. Jebin Samuvel T | Engineering | Global Impact in Research Award

Research Scholar Indian Institute of Technology Madras India

Jebin Samuvel T is a dynamic research scholar with over 11 years of experience in computational fluid dynamics (CFD), hydrodynamics, and marine vehicle drag reduction. He has contributed significantly to experimental and numerical studies focused on drag reduction methods using air bubble technology and hull modifications. With a strong academic foundation and hands-on industry-oriented research, he blends theoretical expertise with practical implementation. Currently pursuing a Ph.D. at IIT Madras, he continues to explore innovative technologies for enhancing marine and aeronautical efficiency.

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🎓 Education

Jebin began his academic journey with a Diploma in Automobile Engineering from PSG Polytechnic College (2005–2007), followed by a Bachelor of Engineering in Aeronautical Engineering at Anna University, Coimbatore (2007–2010, 7.6 CGPA). He then completed a Master’s in Aeronautical Engineering at Park College of Engineering and Technology (2010–2012, 7.9 CGPA). Presently, he is pursuing his Doctorate in Ocean Engineering at IIT Madras (2018–Present, 7.65 CGPA), focusing on advanced drag reduction techniques in marine vehicles.

💼 Experience

From 2012 to 2018, Jebin served as an Assistant Professor at Sri Shakthi Institute of Engineering and Technology, where he led several student and industry projects in aerodynamics, combustion chambers, and aircraft components. Since 2018, he has been a Research Scholar at IIT Madras, conducting groundbreaking experimental and numerical studies on bubble drag reduction (BDR) in shallow waters, hull vane impact on wave resistance, and ship-surface floater development for deep-sea mining. He has also held the position of Teaching Assistant and Head of Department (in charge) during his academic tenure.

🔬 Research Interests

Jebin’s research primarily focuses on:

  • 🫧 Bubble Drag Reduction techniques in marine vessels
  • 🌊 Shallow and deep water resistance analysis
  • 💨 Fluid dynamics and propulsion systems
  • 🛳️ Hull and stern modifications for drag reduction
  • 🔥 Combustion chamber design optimization
    His work merges CFD simulations using Star CCM+ with real-time experimental validation, targeting sustainable and efficient ship designs.

🏆 Awards & Achievements

  • 🎓 Completed a Short Course on Interfacial Phenomena at IIT Madras
  • 🛠️ Participated in the Engineering Mechanics Workshop by IIT Bombay
  • ⚙️ Attended a National Workshop on Gas Turbine Design at Park College
  • 🏅 Earned the NCC ‘A’ Certificate and actively participated in national NCC camps
  • 📐 Engaged in several faculty development and national-level training programs
    These accomplishments reflect his continuous learning mindset and leadership in engineering education.

📚 Publications Top Notes: 

Samuvel, J. T., Gokulakrishnan, M., Kumar, A., & Ramamurthy, V. (2022). Numerical Estimation of Frictional Drag on Flat Plate In Shallow Water with & without BDR. OCEANS 2022 – Chennai. Cited by: 3

Gokulakrishnan, M., Samuvel, J. T., Kumar, A., & Ramamurthy, V. (2022). Numerical prediction of hydrodynamic forces and moments of KCS in shallow water. OCEANS 2022 – Chennai. Cited by: 2

Impact of Water Depth on the Resistance of a Mini-Bulk Carrier: An Experimental and Numerical Study

Bahar Oztelcan Gunduz | Medicine and Health Sciences | Best Scholar Award

Dr. Bahar Oztelcan Gunduz | Medicine and Health Sciences | Best Scholar Award

Gülhane Research and Training Hospital Turkey 

Dr. Bahar Öztelcan Gündüz is a compassionate pediatrician and social health researcher, currently serving at Gülhane Research and Training Hospital. With a PhD in Social Pediatrics from Gazi University and a medical background from Selçuk and Eskişehir Osmangazi Universities, she has dedicated her career to improving child health in underserved communities. Her impactful research during the COVID-19 pandemic on sarcopenic obesity in children has earned wide recognition. She is also an active member of the Social Pediatrics Association, contributing to child welfare through research, clinical care, and advocacy. 🌍👶📚

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🎓 Education

Dr. Öztelcan Gündüz holds a PhD in Social Pediatrics from Gazi University, where she honed her skills in public health and research methodology. She specialized in Pediatrics at Eskisehir Osmangazi University and obtained her MD from Selçuk University, Türkiye. Her academic foundation is rooted in both clinical excellence and social medicine, empowering her to address both the biological and social determinants of child health. 🎓🧠

💼 Experience

With extensive field experience, Dr. Öztelcan Gündüz began her medical career as a general practitioner at Şırnak Maternal and Child Health Center, focusing on vulnerable populations. She later served at Mus State Hospital and Gemlik State Hospital as a pediatrician. Currently, she practices at Gülhane Research and Training Hospital, where she also leads multiple research initiatives. Her experience spans clinical practice, public health programs like vaccination drives, and research supervision. 👩‍⚕️🏥🩺

🔬 Research Interests

Dr. Gündüz’s research revolves around pediatric health and public welfare. Her core interests include:

  • Sarcopenic obesity in children
  • Vaccination attitudes and immunization disparities
  • Pediatric infectious diseases
  • Neuropsychiatric conditions in children and adolescents
  • Nutrition and growth patterns in vulnerable populations
  • Cyberbullying and child mental health
  • Early feeding practices and neophobia in children
    Her research blends clinical insight with public health innovation, aiming to inform policy and intervention strategies. 🧪👶🧠

🏆 Awards & Recognitions

Dr. Bahar Öztelcan Gündüz is nominated for the Best Research Scholar Award for her groundbreaking research on sarcopenic obesity in children during the COVID-19 pandemic. Her innovative use of the Grip-to-BMI ratio and muscle-fat ratio (MFR) as diagnostic tools has had a real-world impact on pediatric healthcare and preventive strategies. Her contributions during a global health crisis demonstrate her leadership in pediatric research and her commitment to child welfare. 🏅📊💡

📚 Publications Top Notes: 

Gündüz B, Duyan Çamurdan A, Yıldız M, et al. (2024). Assessing Sarcopenic Obesity Risk in Children During the COVID-19 Pandemic: Grip-to-BMI Ratio. Medical Research Reports.
📖 Cited by 3 articles

Gündüz B, Kutlutürk K, Cengiz M. (2024). Exploring the Impact of Socioeconomic Factors on Special Immunization Rates: A Study in Türkiye.
📖 Cited by 2 articles

Öztelcan Gündüz B, Kutlutürk K, Ünay B. (2025). Rotavirus infections in the pediatric population: a comparative study of pre-COVID and COVID-19 pandemic periods. Frontiers in Public Health.
📖 Cited by 1 article

Dulkadir R, Öztelcan Gündüz B. (2024). Differentiating COVID-19 and influenza in children: hemogram parameters as diagnostic tools. Frontiers in Public Health.
📖 Cited by 2 articles

Tubaş F, Husrevoglu Esen F, Öztelcan Gündüz B, Ünay B. (2022). Youth suicide and hospital-presenting suicide attempts. International Journal of Social Psychiatry.
📖 Cited by 6 articles

Artık A, Işık Ü, Öztelcan Gündüz B, Mızrak S. (2023). Serum Cingulin levels are increased in children with autism spectrum disorder. International Journal of Developmental Disabilities.
📖 Cited by 4 articles

Artık A, Öztelcan Gündüz B, Mızrak S, Işık Ü. (2022). Increased Serum Levels of TNF-like Weak Inducer of Apoptosis in Autism Spectrum Disorder. Int. J. of Developmental Disabilities.
📖 Cited by 5 articles

Gündüz B. (2025). The impact of COVID-19 pandemic on sarcopenic obesity among children between 6 and 10 years of age: a prospective study. European Journal of Pediatrics.
📖 Cited by 7 articles

Leila Monjazeb marvdashti | Agricultural and Biological Sciences | Global Impact in Research Award

Assist. Prof. Dr. Leila Monjazeb marvdashti | Agricultural and Biological Sciences | Global Impact in Research Award

University of california san diego United States

Dr. Leila Monjazeb Marvdashti is a distinguished scientist and academician specializing in food microbiology and biotechnology. Since 2024, she has been serving as a Postdoctoral Scholar in the Pathology Department of the Medical School at the University of California San Diego, under the mentorship of Dr. Steven Gonias. Her career encompasses significant roles in academia, research, and industry, reflecting her commitment to advancing food safety and health sciences.

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Education 🎓

  • 2024-Present: Postdoctoral Scholar at the University of California San Diego, Pathology Department of Medical School, San Diego, California, USA.

  • 2012-2016: Ph.D. in Food Microbiology from Ferdowsi University of Mashhad, Iran. Her doctoral research focused on producing antimicrobial film from Alyssum homolocarpum seed gum and Nisin.

  • 2010-2012: M.Sc. in Food Science and Technology from Shiraz University, Iran, where she identified phytase-producing microorganisms from natural sources and characterized the enzyme.

  • 2005-2009: B.Sc. in Food Science and Technology at Shiraz University, Iran.

Experience 🧑‍🏫

  • 2022-Present: Assistant Professor and Scientist Researcher at Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

  • 2022-Present: Senior Scientist Policy Advisor & Regulatory Affairs and Vice-President of the Board Member Committee in the Food and Drug Administration (FDA) of Iran.

  • 2023-Present: Advisor Scientist at various Codex committees in Tehran, Iran, including Food Contaminants, Nutrition (CCCF), and Special Diet Foods (CCNFSDU).

Research Interests 🔬

Dr. Monjazeb Marvdashti’s research encompasses food microbiology, biotechnology, and public health. She has contributed to projects on antimicrobial packaging, enzyme production, and the application of cold plasma technology in food safety. Her work also includes health risk assessments related to food contaminants and the development of probiotic products for celiac disease management.

Awards 🏆

Dr. Monjazeb Marvdashti has received numerous international honors, including:

  • 2022: Gold Medal at INNOVERSE Invention & Innovation Expo in Atlanta, USA, for her invention of new generation systems based on bio-gold production reactors.

  • 2022: Gold Medal at the 25th World Inventions Competition (ARCHIMEDES) in Moscow, Russia, for innovations in bio-gold production reactors for medical and industrial applications.

  • 2021: Gold Medal at the World Inventions Competition (IIIF 2021) in Hyderabad, India, for spacecraft electricity and water production innovations.

Publications Top Notes: 📚

Dr. Monjazeb Marvdashti has an extensive publication record. Below are selected publications with hyperlinks, published year, journals, and citation counts:

Assessment of prevalence, concentration, and risks of non-carcinogenic and carcinogenic Ochratoxin A and Aflatoxins in corn (Zea mays) in Iran (2025). International Journal of Environmental Analytical Chemistry, 18(4), 1-17. Cited by 5 articles.

Evaluation of phthalate acid esters (PAEs) in kefir samples by using magnetic chitosan coated with polyaniline (Fe₃O₄@CHI@PANI)/GC–MS method: A health risk assessment study (2024). Microchemical Journal, 207, 111801. Cited by 8 articles.

The concentration and prevalence of aflatoxins and ochratoxin A in imported rice (Oryza sativa) samples from Iranian market: a probabilistic dietary risk assessment (2024). International Journal of Environmental Analytical Chemistry, 1-18. Cited by 3 articles.

The Effectiveness of Cognitive Behavioral Therapy on Depression and Anxiety Symptoms in Breast Cancer Patients and Survivors: A Systematic Review of Interventional Studies (2024). Brain and Behavior, 14(10), e70098. Cited by 10 articles.

Concentration and human health risk attribute to per-and polyfluoroalkyl substances in fillet of carp and tilapia fish: systematic review and meta-analysis (2024). Journal of Food Composition and Analysis, 106671. Cited by 6 articles.

Effect of Vicia villosa protein isolate-based edible coating incorporated with ZnO nanoparticles on the shelf-life of chicken breast meat during cold storage (2024). Food Hydrocolloids for Health, 5, 100176. Cited by 4 articles.

Curiosity in the Girl with Attention Deficit Hyperactivity Disorder: Case Report and Literature Review about Vaginal Button Battery Insertion (2024). Journal of Pediatrics Review, 12(2). Cited by 2 articles.

The concentration of pesticides in onion samples from Iran: a non-carcinogenic health risk assessment (2024). International Journal of Environmental Health Research, 1-16. Cited by 5 articles.

Phytase-Producing Fungi from Processed Cheese: Isolation, Screening, and Optimization of Production Parameters (2024).

Qili Chen | Artificial Neural Networks | Best Researcher Award

Ms. Qili Chen | Artificial Neural Networks | Best Researcher Award

Associate Professor Beijing Information Science and Technology University China

Dr. Qili Chen is an accomplished Associate Professor at Beijing Information Science and Technology University, specializing in artificial neural networks and intelligent systems. With a strong academic foundation and global collaboration experience, she has contributed significantly to the fields of deep learning and small object detection. Her academic journey reflects both international exposure and commitment to scientific excellence, having visited the University of Wisconsin, Milwaukee during her Ph.D. studies. Dr. Chen is a passionate researcher recognized for her innovative work in neural modeling and optimization.

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🎓 Education

Dr. Chen received both her Master’s (2010) and Ph.D. (2014) degrees in Pattern Recognition and Intelligent System from Beijing University of Technology. During her doctoral studies, she broadened her research perspective through a visiting scholar program (Sept 2012–Aug 2013) at the Department of Mathematical Sciences, University of Wisconsin, Milwaukee, USA.

💼 Experience

Dr. Qili Chen currently serves as an Associate Professor at Beijing Information Science and Technology University. She has led and participated in 14 research projects, collaborated with global researchers such as Doug Briggs and Yi Ming Zou, and contributed to both academia and industry through research consultancy. She also served as a Track TPC Member for the 2023 IEEE ICICN Conference. With memberships in prestigious AI and automation committees in China, her professional presence is robust and influential.

🔬 Research Interests

Her primary research interests include Artificial Neural Networks, Small Object Detection, Modelling, and Optimal Control. Dr. Chen focuses on improving aerial image analysis by enhancing deep learning strategies for detecting small objects—an area critical for applications in surveillance, environmental monitoring, and autonomous systems.

🏆 Awards

Dr. Chen has been nominated for the Best Researcher Award for her remarkable contributions to deep learning and remote sensing applications. Her research has high impact with 788 citations and an H-index of 10, signifying wide academic recognition. She has authored 1 book, published 3 patents, and contributed to 20 peer-reviewed journals, strengthening her candidacy as an innovative leader in AI.

📚 Publications Top Notes: 

Here are selected publications authored by Dr. Qili Chen, including publication years, journal details, and citation counts:

“A survey of small object detection in aerial images via deep learning”
Published in: Artificial Intelligence Review, 2025
🔗 Link to Publication
📝 Cited by: 5 articles

Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

Research on an online self-organizing radial basis function neural network

Road safety performance function analysis with visual feature importance of deep neural nets

An adaptive hybrid attention based convolutional neural net for intelligent transportation object recognition

Accurate ovarian cyst classification with a lightweight deep learning model for ultrasound images

The Chemical Oxygen Demand Modeling Based on a Dynamic Structure Neural Network

An improved picture‐based prediction method of PM2. 5 concentration