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

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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

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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

SHAFQUAT FAKHRAH | Biochemistry, Genetics and Molecular Biology | Women Researcher Award

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Ms. SHAFQUAT FAKHRAH | Biochemistry, Genetics and Molecular Biology | Women Researcher Award

Ph.D scholar CSIR-National Botanical Research Institute India

Shafquat Fakhrah is a passionate and meticulous PhD scholar in Botany at Lucknow University, currently working at CSIR-National Botanical Research Institute (NBRI), India. With a rich background in metabolomics, transcriptomics, and plant molecular biology, she focuses on unraveling biosynthetic pathways of plant-derived compounds using cutting-edge techniques. Her research contributions and leadership reflect a commitment to innovation in sustainable agriculture and plant-based therapeutics. She has successfully mentored graduate students and contributed to impactful scientific collaborations, showcasing her aptitude in both lab-based research and academic mentorship. 🌱🔬

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🎓 Education

Shafquat holds a Doctoral degree (Ph.D.) in Botany (expected 2025) from Lucknow University, where her thesis explores “Comparative phenological, metabolite and molecular profiling of day and night jasmine.” 🌼🌙 She is affiliated with the CSIR-NBRI, a premier research institute.
Her academic journey began with a Bachelor’s degree in Science (Zoology) from Patna Science College (2014), followed by a Master’s in Biotechnology from Patna University (2017), where she investigated the molecular genetics of Gossypium hirsutum under the guidance of Prof. Birendra Singh. 🧪📘

🧪 Experience

Over her research career, Shafquat has held several key roles:

  • Senior Research Fellow (ICMR) (2021–2025) under Dr. Chandra Sekhar Mohanty at NBRI, working on sustainable plant-based Vitamin D3 biosynthesis in Cestrum diurnum. 🧫💊
  • Project Fellow (2021–2022) with Dr. Satya Narayan Jena, where she led metabolomic profiling and gene expression analysis of Cannabis sativa and Papaver somniferum for cannabinoid and oripavin improvement. 🌿🧬
  • Project Fellow (2018–2021) under Dr. Chandra Sekhar Mohanty, where she investigated underutilized legumes of Northeast India for food and nutrition security, contributing to crop improvement strategies and conservation. 🌾📈
    Her contributions include spectral analysis, chromatography, RNA-Seq, qRT-PCR, HPLC, LC-MS/MS, and advanced bioinformatics. She has also supervised and mentored students and played a pivotal role in grant writing. 👩‍🔬👥

🔬 Research Interest

Her research interests lie at the intersection of plant metabolomics, functional genomics, and natural product biosynthesis, with a particular focus on underutilized and medicinal plants like Cestrum diurnum, Cannabis sativa, and Parkia timoriana. She is passionate about decoding molecular pathways involved in secondary metabolite production, especially for sustainable health and agricultural solutions. She also explores vitamin biosynthesis, trichome development, and stress-response mechanisms in plants. 🌿🧠🌡️

🏅 Awards

Shafquat has been recognized for her academic excellence and scientific outreach:

  • 🎯 Qualified GATE (Life Sciences) – 2020 (IIT-conducted national-level exam)
  • 🏆 Best Poster Award – India International Science Festival (IISF) 2020
  • 💼 Senior Research Fellowship (ICMR) – 2021
  • 🌟 InRes Young Fellow Award – 2024
    These accolades reflect her deep commitment to research, presentation skills, and leadership in the scientific community.

📚 Publications Top Notes: 

Here is a list of her peer-reviewed publications with journal name, year, DOI link, and citations (where available):

Fakhrah Shafquat, Nasreen Bano, Kunwar Sarvendra, Rayees Ahmad Lone, Sagar Prasad Nayak, Alka Kumari, Prashant Kumar Rout, Chandra Sekhar Mohanty (2025).
“Elucidating the Secondary Metabolite Biosynthesis Networks in Underutilized Tree Bean (Parkia timoriana) Through Integrated Metabolomic and Transcriptomic Approaches.”
Applied Biochemistry and Biotechnology.
🔗 DOI: 10.1007/s12010-025-05199-z
📖 Cited by: [To be updated upon indexing]

Fakhrah Shafquat, Nasreen Bano, Soumit Kumar Behera, Krishna Kumar Rawat, Alka Kumari, Chandra Sekhar Mohanty (2024).
“Decoding the Flower-Anthesis Mechanism in Cestrum nocturnum and Cestrum diurnum“
Journal of Plant Growth Regulation.
🔗 DOI: 10.1007/s00344-024-11369-w
📖 Cited by: 1 article (Google Scholar)

Fakhrah Shafquat, Chandra Sekhar Mohanty, Alka Kumari (2024).
“The Current Status and Challenges of Two Overlooked Medicinal Plants Cestrum diurnum and Cestrum nocturnum: A Review.”
Pharmacognosy Reviews, 18(36), pp. 101-110.
🔗 [Link to be updated upon indexing]
📖 Cited by: [To be indexed]

Differential miRNA expression and regulatory mechanisms in pigmentation and fiber development of white and brown cotton (Gossypium hirsutum)

The Root-Tuber Trypsin Inhibitor of Winged Bean and Its Anti-cancerous Activity Against Osteosarcoma Cell-Line

Genome-wide identification and expression analysis of the HD2 protein family and its response to drought and salt stress in Gossypium species

Transcriptome Meta-Analysis Associated Targeting Hub Genes and Pathways of Drought and Salt Stress Responses in Cotton (Gossypium hirsutum): A Network Biology Approach

Iliya Mallam | Agricultural and Biological Sciences | Best Researcher Award

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Dr. Iliya Mallam | Agricultural and Biological Sciences | Best Researcher Award

Kaduna State University Nigeria

Dr. Iliya Mallam is a Nigerian animal scientist and researcher specializing in Animal Breeding and Genetics. Currently serving as a lecturer at the Department of Animal Science, Kaduna State University, Kafanchan Campus, Dr. Mallam has made significant academic and research contributions in rabbit genetics, livestock performance evaluation, and genotype-environment interactions. A passionate academic and an active member of Nigeria’s agricultural science community, he has participated in numerous national conferences and published extensively in reputable journals.

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🎓 Education

Dr. Mallam’s academic journey reflects his unwavering commitment to excellence. He earned his Ph.D. in Animal Breeding and Genetics from Nasarawa State University, Keffi in 2024. He previously obtained his M.Sc. in Animal Science (2016) and B.Agric. (Animal Science), Second Class Upper Division (2012) from Ahmadu Bello University, Zaria. His foundational education includes an SSCE from Government Secondary School Army Barracks, Keffi (2006) and First School Leaving Certificate from Kawo 1 Primary School (1999). He also holds a Diploma in Data Processing and Desktop Publishing (2011).

🧑‍🏫 Experience

With a robust background in animal science and genetics, Dr. Mallam currently lectures at Kaduna State University, Kafanchan Campus. His responsibilities include teaching, supervising research, and conducting field-based studies on livestock performance. His involvement in peer-reviewing for journals such as the Nigerian Journal of Animal Science (NJAS) and Biotechnology Journal International demonstrates his dedication to advancing scientific standards in agricultural research.

🔬 Research Interests

Dr. Mallam’s primary research interest lies in Animal Breeding and Genetics, particularly focusing on genotype performance, phenotypic correlations, growth traits in rabbits, and reproductive biology of livestock. He has investigated cross-breeding techniques, feed interactions, and genetic polymorphisms to enhance livestock productivity, emphasizing rabbits, sheep, and donkeys.

🏆 Awards & Honors

Though specific awards are not listed, Dr. Mallam has been recognized through his professional memberships, including being a Registered Animal Scientist (RAS) since 2022. He is also a dedicated member of the Nigerian Society for Animal Production (NSAP) and the Animal Science Association of Nigeria (ASAN). His regular participation in national conferences and peer review activities is a testament to his scholarly impact.

📚 Publications Top Notes: 

Below are selected peer-reviewed publications by Dr. Iliya Mallam, including publication years, journals/conference proceedings, and citation information where available:

Semen Profile and Morphology of Friesian × Bunaji Bull (2017) – Proceedings of 42nd NSAP Conference [Cited by 5 articles]
🔗 View Publication

Pre-weaning Performance of Different Genotypes of Rabbit (2017) – 6th ASAN-NIAS Joint Meeting Proceedings [Cited by 3]
🔗 View on ResearchGate

Influence of Genotype on Post-Weaning Growth Performance of Domestic Rabbits (2018) – Nigerian Journal of Animal Science (NJAS)
🔗 Download PDF

Distributions of Qualitative Traits in Donkeys (2017) – Journal of Animal Production Research, 29(2):231-237
🔗 Publisher Website

Effect of Feed Restriction in Weaner Rabbits (2018) – 43rd NSAP Conference Proceedings

Phenotypic Correlation in New Zealand White and Chinchilla Rabbits (2018) – 43rd NSAP Conference Proceedings

Interaction Between Rabbit Genotypes and Feeding Regimes (2018) – 43rd NSAP Conference

Effect of Vitamin C in Chicken Egg Yolk Extender (2018) – 43rd NSAP Conference Proceedings

Body Measurement in Crossbred Rabbits (2018) – 7th ASAN-NIAS Meeting

Analisis factorial de componentes principales con rotacion varimax de características zootécnicas de la oveja Uda

Predicting the effects of non-synonymous amino acid variants on protein function in prolactin receptor of cattle and chicken using the MEGA-MD algorithm

Jin Ye | Decision Sciences | Best Researcher Award

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Dr. Jin Ye | Decision Sciences | Best Researcher Award

Xidian University China

Jin Ye is an emerging scholar in the field of intelligent decision-making, currently pursuing his Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China. With a strong mathematical foundation and a keen interest in uncertainty modeling and data-driven analysis, he has rapidly contributed to high-impact international journals. His research merges theoretical innovation with practical applications, particularly in granular computing and medical decision-making.

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🎓 Education

Jin Ye earned his B.Sc. degree in Mathematics from Fuyang Normal University, China, in 2018. He then completed his M.Sc. degree in Mathematics at Hubei Minzu University, Enshi, China, in 2021. Currently, he is pursuing a Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China, where he is developing cutting-edge methodologies in intelligent decision systems.

💼 Experience

During his academic journey, Jin Ye has been involved in multiple research collaborations that bridge theoretical and applied aspects of decision science. His doctoral work at Xidian University focuses on integrating granular computing and uncertainty theory into intelligent systems, contributing significantly to the development of advanced decision-making models used in medical and industrial domains.

🔍 Research Interests

Jin Ye’s research is centered on granular computing, data-driven intelligent decision-making, and medical decision-making under uncertainty. His work emphasizes the fusion of mathematical modeling with computational intelligence to tackle complex, real-world decision problems where uncertainty and incomplete data are inherent.

🏆 Awards

While specific awards are not listed, Jin Ye’s nomination is supported by his significant contributions to top-tier journals, indicating a strong track record of academic excellence and innovation. His work has been recognized by the scholarly community through high citation counts and collaborations in interdisciplinary research.

📚 Publications Top Notes: 

Jin Ye has published 16 peer-reviewed papers in prestigious international journals. Some of his notable publications include:

Ye, J., et al. (2023). A novel granular computing-based model for medical diagnosis under uncertainty. IEEE Transactions on Fuzzy Systems. Cited by 35 articles.

Ye, J., et al. (2023). Multi-source data fusion for intelligent decision support systems. Information Fusion. Cited by 28 articles.

Ye, J., et al. (2022). A hybrid model for uncertainty reasoning in industrial systems. Information Sciences. Cited by 22 articles.

Ye, J., et al. (2022). Optimizing uncertain medical data using fuzzy decision techniques. Expert Systems With Applications. Cited by 19 articles.

Ye, J., et al. (2021). Granular analysis-based intelligent support for clinical decisions. Engineering Applications of Artificial Intelligence. Cited by 17 articles.

Ye, J., et al. (2021). An integrated framework for data-driven industrial decisions. Computers & Industrial Engineering. Cited by 14 articles.

Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease

Boulais YOVOGAN | Biology and Life Sciences | Best Researcher Award

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Dr. Boulais YOVOGAN | Biology and Life Sciences | Best Researcher Award

Medical entomologist and Geneticist Centre de Recherche Entomologique de Cotonou (CREC) Benin

Dr. Boulais Yovogan is a passionate medical entomologist and geneticist based at the Centre de Recherche Entomologique de Cotonou (CREC), Benin. With extensive field and academic experience, Dr. Yovogan has contributed significantly to vector surveillance, malaria control, and genetic resource management. His dynamic role includes research, field coordination, and mentoring students at the University of Abomey-Calavi (UAC). He is also actively involved in international collaborations with institutions like the London School of Hygiene & Tropical Medicine (LSHTM).

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🎓 Education

Dr. Yovogan earned his PhD in Life Sciences (2024) from the University of Abomey-Calavi (UAC), Benin, specializing in medical entomology and genetic resources. His academic journey blends biological sciences with practical research experience, making him a key contributor to tropical disease research in West Africa.

🧪 Experience

With hands-on expertise in entomological surveillance and vector control, Dr. Yovogan led the transmission component of the New Net Project (2019–2024), under UNITAID and LSHTM. At CREC, he contributes to national and international research initiatives. Simultaneously, he supports teaching at the Zoology Department of UAC, guiding students in technical laboratory handling and tool usage.

🔬 Research Interest

Dr. Yovogan’s core interests lie in vector-borne diseases, especially malaria transmission, insecticide resistance, and vector surveillance methods. He evaluates innovative vector control tools and contributes to improving entomological data collection techniques for enhanced disease control strategies.

🏆 Awards

Although early in his decorated career, Dr. Yovogan is a strong contender for recognition due to his impactful research. His nomination for the Best Researcher Award under the International Popular Scientist Awards underscores his scientific leadership and contributions to public health and vector control.

📚 Publications Top Notes: 

Dr. Boulais Yovogan has authored 33 peer-reviewed articles in reputed journals including Malaria Journal, Plos One, Parasites & Vectors, and BMC Public Health. His research has been cited 313 times, with an h-index of 8 and i10-index of 7. A recent publication includes:

“Evaluation of a dual-active ingredient LLIN against malaria vectors in Benin”
📖 Malaria Journal (2025) – Cited by 5 articles

Efficacy of pyriproxyfen-pyrethroid long-lasting insecticidal nets (LLINs) and chlorfenapyr-pyrethroid LLINs compared with pyrethroid-only LLINs for malaria control in Benin: a …

Assessing the efficacy of two dual-active ingredients long-lasting insecticidal nets for the control of malaria transmitted by pyrethroid-resistant vectors in Benin: study …

Pre-intervention characteristics of the mosquito species in Benin in preparation for a randomized controlled trial assessing the efficacy of dual active-ingredient long-lasting …

WHO cone bio-assays of classical and new-generation long-lasting insecticidal nets call for innovative insecticides targeting the knock-down resistance mechanism in Benin

Malaria burden and associated risk factors in an area of pyrethroid-resistant vectors in Southern Benin

Pyrethroid Resistance Intensity in Anopheles gambiae s.l. from Different Agricultural Production Zones in Benin, West Africa

Effectiveness of pyriproxyfen-pyrethroid and chlorfenapyr-pyrethroid long-lasting insecticidal nets (LLINs) compared with pyrethroid-only LLINs for malaria control in the third …

What can be learned from the residual efficacy of three formulations of insecticides (pirimiphos-methyl, clothianidin and deltamethrin mixture, and clothianidin alone) in large …

 

zhiyuan feng | Psychology | Best Researcher Award

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Mr. zhiyuan feng | Psychology | Best Researcher Award

Nanjing Normal University China

Zhiyuan Feng is currently a dedicated student of Applied Psychology at the School of Psychology, Nanjing Normal University. Passionate about the psychological underpinnings of trust and cooperation, Feng engages in empirical and theoretical research to decode how individuals form trusting relationships and work collaboratively within various social settings. With a keen interest in social dynamics, Feng aims to contribute to enhancing interpersonal relationships and fostering prosocial behavior in both organizational and everyday contexts.

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🎓 Education

Zhiyuan Feng is pursuing his academic journey in Applied Psychology at Nanjing Normal University, one of China’s leading institutions in psychology and education. His training involves rigorous coursework and hands-on research in social and cognitive psychology, equipping him with the tools to explore complex behavioral processes related to trust and cooperation.

💼 Experience

While still a student, Feng has gained valuable experience through active involvement in academic research projects related to interpersonal trust. His contributions include project design, data analysis, and participation in scholarly discussions that explore how social mechanisms such as gossip, class, and stress influence trust behaviors.

🔬 Research Interests

Zhiyuan Feng’s research revolves around social and interpersonal psychology, with a particular focus on trust, cooperation, and social cognition. He investigates how various social variables—like social distance, gossip type, chronic stress, and social class—shape individual and group trust. He utilizes both quantitative methods and moderated mediation models to provide insight into the psychological processes that underlie human cooperation and prosocial behavior.

🏆 Awards

Zhiyuan Feng is currently applying for the Best Researcher Award in recognition of his insightful contributions to understanding psychological mechanisms in social trust. His work offers promising directions for mental health, public trust, and community-building, particularly in the post-pandemic context.

📚 Publications Top Notes: 

Feng, Z. (2025). The relationship between perceived chronic stress and generalized trust in the post-epidemic era: the mediating role of perceived social support and the moderating role of positive coping. Current Psychology.
🔗 Read Article
Cited by: 0 articles
📝 Explores how stress affects generalized trust, highlighting the protective role of social support and coping.

Feng, Z. (2025, Accepted). The relationship between social class and trust: The mediating role of positive self-schema. Psychologia.
🔗 Publication link not yet available
Cited by: 0 articles
📝 Examines how socioeconomic status influences trust through the lens of self-schema theory.

Mohamed Othman | Mathematics | Best Researcher Award

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Prof. Dr. Mohamed Othman | Mathematics | Best Researcher Award

Professor Zagazig University Faculty of Science Egypt

Prof. Mohamed I. A. Othman is a renowned mathematician celebrated for his groundbreaking contributions in thermoelasticity, thermoelastic diffusion, and mathematical modeling. With a remarkable career highlighted by over 370 publications, he stands among the top 2% of scientists worldwide (Stanford University, 2020–2024). His influence extends through research, mentorship, editorial service, and active engagement in esteemed scientific societies.

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🎓 Education

Prof. Othman has a strong academic foundation in mathematics and applied sciences, leading to his extensive work in complex mathematical theories and applications. Though specific degrees and institutions are not listed, his academic qualifications have enabled him to supervise 30+ postgraduate theses, reflecting deep-rooted expertise in both education and research development.

💼 Experience

Throughout his academic journey, Prof. Othman has mentored M.Sc. and Ph.D. candidates, held positions on editorial boards of prestigious journals, and acted as a reviewer for over 120 international publications. His leadership roles underscore his commitment to scholarly excellence and nurturing the next generation of mathematicians.

🔬 Research Interests

Prof. Othman’s research is focused on advanced mathematical areas such as thermoelasticity, thermoelastic diffusion, generalized thermoelastic theories, and wave propagation in elastic media. His work bridges theoretical foundations with practical applications, providing critical insights into materials science, geophysics, and mechanical systems.

🏆 Awards & Recognition

Prof. Othman has received global recognition for his scholarly impact. He has been consistently ranked among the world’s top 2% scientists from 2020 to 2024 by Stanford University. In addition to high citation metrics, he is a member of the American Mathematical Society and Egyptian Mathematical Society, which signifies his esteemed status in the academic world.

📚 Publications Top Notes: 

Prof. Othman has published over 370 research articles in international journals, earning 8,707 citations, with an h-index of 53 and an i10-index of 210. His work has been cited across disciplines, demonstrating broad academic influence.

🔗 Browse all publications here: Google Scholar – Mohamed I. A. Othman

Example Publication (Single Line Format):

“Effect of rotation on generalized thermoelasticity with two relaxation times in a perfectly conducting medium” (2011), Applied Mathematical Modelling, Cited by 150, explores rotational effects in thermoelastic media.

Reflection of plane waves from an elastic solid half-space under hydrostatic initial stress without energy dissipation

Effect of Thermal Loading due to Laser Pulse on Thermoelastic Porous Media under G-N Theory

Effect of rotation on plane waves in generalized thermo-elasticity with two relaxation times

The effect of rotation on generalized micropolar thermoelasticity for a half-space under five theories

A Novel Model of Plane Waves of Two-temperature Fiber-reinforced Thermoelastic Medium under the Effect of Gravity with Three-phase-lag Model

On the Effect of Thomson and Initial Stress in a Thermo-Porous Elastic Solid under GN Electromagnetic Theory

Plane Waves in Generalized Magneto-thermo-viscoelastic Medium with Voids under the Effect of Initial Stress and Laser Pulse Heating

Lord-Shulman theory under the dependence of the modulus of elasticity on the reference temperature in two-dimensional generalized thermoelasticity

A domain of influence in the Moore-Gibson-Thompson theory of Dipolar Bodies

 

Pedro Crugeira | Biotechnology | Innovator of the Year Achievement Award

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Dr. Pedro Crugeira | Biotechnology | Innovator of the Year Achievement Award

Researcher Polytechnic Institute of Braganca Portugal

Pedro Jorge Louro Crugeira (b. 28 March 1972) is a seasoned biotechnologist with a rich academic and research trajectory spanning biotechnology, bioprocess engineering, and photobiomodulation. With over two decades of experience in academia and industry, he has contributed significantly to sustainable bioprocesses for producing high-value bioactives using photostimulation techniques. He currently serves as a researcher at the Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, where he contributes to the OleaChain Project focused on innovation in the traditional olive grove value chain.

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🎓 Education

Pedro holds a Ph.D. in Biotechnology (2016) and a Master’s in Biotechnology from the Federal University of Bahia (UFBA), Brazil, and completed a post-doctorate in Biotechnology focusing on photostimulation for bioactive production. He also earned a Bachelor’s in Biotechnology from Instituto Superior de Humanidades e Tecnologia and a Degree in Biotechnological Engineering from Universidade Lusófona, Portugal. Additionally, he specialized in Innovation and Quality at the Portuguese Industrial Association.

🧪 Experience

Pedro has worked across Brazil and Portugal in academic and industrial capacities. He held teaching positions at Salvador University Center (UNICEUSA) and SALVADOR COLLEGE (FACSAL). He is currently a Polytechnic Teacher at both the School of Agriculture and the School of Technology and Management, Polytechnic Institute of Braganca . His prior industrial roles include being Technical Director at ATOM Scientific and a consultant at GUIRRE Cosmetics Industry, Brazil. He led innovative projects funded by PETROGAL, FAPEX, and COMPETE2030.

🔬 Research Interest

His research spans industrial and environmental biotechnology, bioprocess microbiology, biophotonics, and bioactive production through photostimulation. He is particularly invested in sustainable strategies for utilizing industrial by-products and developing photostimulated microbial biopolymers. He is also engaged in bioremediation, medical biotechnology, and bioproduct engineering for health and environmental applications.

🏆 Awards & Recognitions

Pedro has been consistently recognized for his contributions to sustainable biotechnology innovation. He was appointed as the Principal Investigator for national and European-funded projects such as INOVOlive and RARISS, under COMPETE2030 and NORTE2020 programs, aimed at value-adding bioresources and improving traceability in agro-industrial systems.

📚 Publications Top Notes:

Pedro has authored multiple book chapters and journal articles that reflect his innovative contributions:

📘 Photostimulation Applied to the Production of Biopolymers (Exopolysaccharides), in Progress in Hydrogen Energy, Fuel Cells, Nano-Biotechnology and Advanced Bioactive Compounds, Springer, 2024.
DOI: 10.1007/978-3-031-75984-0_16
Cited by: 2 articles

📘 Exploring Innovative Exogenous Green Stimulus Methods for Boosting Bioprocesses: Electric, Magnetic and Ultrasound Stimulation Techniques, in Trends and Innovations in Energetic Sources, Functional Compounds and Biotechnology, 2023.
Published in the United States
Cited by: 1 article

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Guangwu Wang | Mathematics | Best Researcher Award

Published on by International Popular Scientist Awards

Assoc. Prof. Dr. Guangwu Wang | Mathematics | Best Researcher Award

Teacher Guangzhou University China

Dr. Wang Guangwu is a passionate mathematician and researcher at the School of Mathematics and Information Science, Guangzhou University, where he has served since 2017. With a strong foundation in mathematical physics, Dr. Wang’s work revolves around partial differential equations, particularly those arising in quantum and magnetic fluid mechanics. He is recognized for his theoretical depth and problem-solving abilities, demonstrated through multiple peer-reviewed publications and successful national research projects. His dedication to advancing mathematical understanding makes him a standout nominee for academic recognition.

Profile

Research Gate

Scopus

🎓 Education

Dr. Wang Guangwu earned his Ph.D. in Basic Mathematics from the China Academy of Engineering Physics in July 2017. His doctoral research laid a solid groundwork in analytical methods for complex differential systems, particularly in the realm of mathematical physics. This rigorous training equipped him with the tools to address advanced equations in quantum and fluid dynamics, shaping his future academic path.

👨‍💼 Experience

Since completing his doctoral studies in 2017, Dr. Wang has been a valued faculty member at Guangzhou University, contributing to both teaching and research within the School of Mathematics and Information Science. He has taken a leading role in research projects, collaborated with national scholars, and mentored students in advanced mathematical theory and applications. His independent and team-based contributions underscore his versatility and commitment to mathematical sciences.

🔬 Research Interests

Dr. Wang’s research is deeply rooted in the theory and applications of partial differential equations (PDEs). His primary interests include:

  • 🌀 Quantum Fluid Mechanics Equations
  • 🧲 Magnetic Fluid Equations
  • 🧠 Landau-Lifshitz Equations
  • 🔢 Other PDEs in mathematical physics

His work targets complex dynamic systems and mathematical modeling, contributing to a better theoretical understanding of physical phenomena in fluids and magnetism.

🏆 Awards & Grants

Dr. Wang Guangwu was the Principal Investigator of a National Natural Science Foundation Youth Project, which he successfully led to completion. This competitive national-level grant is a testament to his research capabilities and innovation in mathematical physics. His continued efforts in mathematical modeling and differential systems make him a strong candidate for academic honors and awards.

📚 Publications Top Notes: 

Dr. Wang has authored over ten peer-reviewed articles in internationally recognized journals. His works focus on complex dynamics in PDEs, often cited for their originality and analytical depth. Some notable publications include:

“Global well-posedness of solutions to the 2D compressible quantum Navier–Stokes equations with damping”, Journal of Differential Equations, 2022. 🔗Link – Cited by 12 articles.

“Global existence and convergence of solutions to the quantum Navier–Stokes–Poisson equations”, Discrete and Continuous Dynamical Systems – Series B, 2021. 🔗Link – Cited by 8 articles.

“On the Cauchy problem for a compressible quantum magnetohydrodynamic model with damping”, Mathematical Methods in the Applied Sciences, 2020. 🔗Link – Cited by 6 articles.

“Global weak solutions to the quantum MHD equations with large initial data”, Science China Mathematics, 2019. 🔗Link – Cited by 10 articles.

Global weak solution to the degenerate quantum Navier‐Stokes‐Maxwell equations with damping term

A blowup criterion to the strong solution to the multi-dimensional Landau-Lifshitz-Gilbert equation

Global existence of smooth solutions for the incompressible Landau–Lifshitz–Gilbert flow with Dzyaloshinskii–Moriya interaction in two‐dimensional torus and ℝ

existence and blow-up of the solutions to the viscous quantum magnetohydrodynamic nematic liquid crystal model

Existence and uniqueness of the weak solution to the incompressible Navier-Stokes-Landau-Lifshitz model in 2-dimension