Year: 2025

10.3390/biomimetics10050320

✅Suitability For Best Researcher Award – Assist. Prof. Dr. Xin Li

Dr. Li Xin exemplifies the qualities of an outstanding researcher through his interdisciplinary expertise, commitment to innovation, and active engagement in both teaching and high-impact research. His contributions to bionic robotics, neural networks, and intelligent manufacturing highlight a visionary approach that merges biology-inspired design with modern engineering. He demonstrates strong academic leadership and innovation potential, making him an ideal candidate for the Best Researcher Award.

📘 Education

Dr. Li Xin holds a Ph.D. in Engineering 🎓, where he focused on intelligent systems, automation, and bionics. His academic journey was deeply rooted in exploring the crossroads of biology and mechanical design 🧬🔧. During his doctoral studies, he developed a keen interest in biomimicry, particularly applying biological mechanisms to robotic structures 🐞🤖. His graduate education laid a solid foundation in mechanical systems, AI, and computational modeling 🧠💻, equipping him with critical skills in interdisciplinary research and technological development. Throughout his academic career, he maintained high academic standards 📈 and actively engaged in scientific discourse, preparing him to become a leading scholar in applied engineering sciences. 📚

💼 Professional Development

As an Associate Professor 👨‍🏫 at Suqian University, Dr. Li Xin has consistently grown in academic and research excellence. He has been involved in cutting-edge projects funded by prestigious agencies like the Natural Science Foundation of Jiangsu Province 💡📑. His professional growth is reflected in his commitment to teaching and mentoring students in areas like neural networks, intelligent manufacturing, and robotics ⚙️📊. His collaborations with national and international research societies such as the Chinese Society of Aeronautics and the International Society of Bionic Engineering 🌐🔬 have broadened his exposure to global research practices. Dr. Li actively publishes in SCI-indexed journals 📰 and is passionate about translating theoretical insights into practical, real-world applications. With a dynamic combination of teaching, research, and cross-disciplinary collaboration, his professional journey continues to inspire technological innovation in academia and industry alike. 🛠️📖

🔍Research Focus

Dr. Li Xin’s research primarily focuses on bionic engineering and intelligent systems 🤖🧠. His work lies at the intersection of biology and engineering, particularly in biomimetic design inspired by insect anatomy 🐞, which he translates into innovative robotic mechanisms. He explores neural networks for smart control, deployable structures for dynamic systems, and intelligent manufacturing for real-time adaptive environments ⚙️🧬. By studying nature’s efficient designs, such as beetle wings, Dr. Li develops deployable robotic models using origami-based geometry 📐. This research is essential for applications in aerospace, disaster recovery robots, and compact machine design ✈️🚀. He is also involved in automation, AI-based control systems, and smart fabrication, making his focus both futuristic and solution-driven 🔍🛠️. His interdisciplinary research enhances both theoretical modeling and functional engineering applications, creating smart, adaptable, and scalable robotic systems. 📊🔧

🧪Research Skills

Dr. Li Xin possesses a robust and interdisciplinary set of research skills, especially in mechanical design, biomimicry, neural networks, and intelligent manufacturing 🔧🤖. He is adept at simulating and constructing deployable robotic mechanisms using mathematical modeling and geometric computation 🧮📐. His skill in interpreting biological movement and translating it into engineering frameworks reflects his expertise in bionic engineering 🐞🛠️. Proficient in CAD modeling, simulation tools, and artificial intelligence applications 🖥️📊, he integrates software with hardware design to optimize functionality. His programming skills support the implementation of neural network algorithms for smart automation and control 🧠💡. Moreover, his research into thick-plate folding mechanisms shows his strength in addressing real-world engineering challenges through experimental prototyping. Combined with academic writing, project execution, and mentoring capabilities, Dr. Li’s research skills are aligned with advancing next-generation robotics and adaptive intelligent systems. 🧪📈

🏆 Awards and Honors

Dr. Li Xin has received recognition for his innovative contributions to engineering research, particularly from the Natural Science Foundation of Jiangsu Higher Education Institutions 🏅🔬. This prestigious grant underscores the scientific impact and potential of his work in biomimetic robotic systems. His membership in elite academic societies such as the Chinese Society of Aeronautics and the International Society of Bionic Engineering 🌍✨ reflects his professional credibility and standing in the global research community. While specific awards or patents are not listed, his published work in indexed journals 📘 and contributions to funded projects suggest strong recognition within his field. As his research matures and expands, he is poised to receive further national and international honors for his groundbreaking efforts in robotics and intelligent design. 🏆🌐

Publication Top Notes

🔬 Title:

Design and Simulation of a Bio-Inspired Deployable Mechanism Achieved by Mimicking the Folding Pattern of Beetles’ Hind Wings

🧾 Journal:

Biomimetics, Published: May 2025

🧑‍🔬 Authors:

Hongyun Chen, Xin Li, Shujing Wang, Yan Zhao, Yu Zheng

🌐 DOI:

🧠 Core Focus:

The paper presents a bio-inspired deployable mechanism by analyzing and mimicking the folding structure of beetles’ hind wings, especially how they compactly fold and unfold for efficient movement.

🛠️ Methods Used:

Origami-inspired geometric modeling
Simulation (likely CAD & finite element tools)
Structural analysis and motion planning
Validation through prototyping and motion testing

🎯 Applications:

Micro air vehicles (MAVs)
Robotics with space-saving requirements
Deployable aerospace structures

🧾 Conclusion

Dr. Li Xin is a forward-thinking scholar whose innovative research bridges theoretical knowledge with real-world applications. His work in biomimicry, deployable robotics, and intelligent systems addresses both academic and industrial challenges of the future. With proven research output, strategic collaborations, and dedication to academic excellence, Dr. Li Xin is an exceptional choice for the Best Researcher Award. His profile strongly aligns with the values and objectives of this honor, recognizing both originality and impact.

Jorge Pinho-Jr | Food Biotechnology | Best Researcher Award

Posted on 18/06/202518/06/2025 by phenomenological Research

Prof Dr. Jorge Pinho-Jr | Food Biotechnology | Best Researcher Award

Researcher at Universidade Federal Fluminense, Brazil.

Dr. Jorge da Silva Pinho Junior 🇧🇷 is a dedicated postdoctoral researcher and postgraduate lecturer at Universidade Federal Fluminense (UFF) 🎓. With a robust academic foundation in nutrition and food sciences, he has emerged as a promising figure in food biotechnology and sustainable food systems 🌱. His research explores the innovative use of agro-industrial residues like cocoa husk to develop functional food ingredients 🍫, while also advancing health-promoting fermented beverages 🥤 and antioxidant-rich oils. Dr. Pinho actively contributes to academia as a supervisor, author, and peer reviewer 📚. His collaborations with national research groups and engagement in funded projects demonstrate a strong commitment to public health, food innovation, and environmental sustainability 🌍. With 13 articles in reputed journals and two published book chapters, his scholarly impact continues to grow 📈. Dr. Jorge is passionate about promoting science that improves both human well-being and ecological balance 🌾💡.

Professional Profile:

✅Suitability For Best Researcher Award – Prof Dr. Jorge Pinho-Jr

Dr. Jorge da Silva Pinho Junior is an exceptionally strong candidate for the Best Researcher Award based on his consistent, impactful contributions to food biotechnology, sustainable food systems, and public health nutrition. His career demonstrates an ideal blend of academic excellence, innovative applied research, and societal impact, all of which align well with the award’s standards.

🎓 Education

Dr. Jorge da Silva Pinho Junior holds a Ph.D. in Sciences Applied to Health Products 🧪 and a Master’s degree in Nutritional Sciences 🥗, both from the prestigious Fluminense Federal University (UFF) 🇧🇷. His academic path began with a degree in Nutrition 🧬, where he developed a foundational understanding of human health and food systems. Through his postgraduate education, Dr. Pinho specialized in the intersection of food science and health innovation 🎯. His studies allowed him to dive deep into the bioaccessibility of nutrients, functional food development, and food safety 🥼. Throughout his academic journey, he maintained a strong balance between research excellence and practical application, equipping himself with the skills needed to contribute meaningfully to academia, public health, and industry collaborations 🌿📘.

🧑‍🏫 Professional Development

Dr. Jorge da Silva Pinho Junior’s professional journey reflects versatility and growth across academia and applied research 🔬. He has served as a substitute professor 👨‍🏫, postgraduate lecturer, and technical education instructor, shaping future scientists in the fields of nutrition and biotechnology 🧫. His research contributions center on sustainable food systems, particularly the upcycling of agro-industrial byproducts like cocoa husk into nutritious products 🍫. He collaborates within UFF and nationally across Brazilian institutions, contributing to funded projects and guiding student research 📑. He has authored 13 scientific articles in international journals and contributed to two book chapters with ISBNs 📚. Moreover, he engages in consultancy projects including functional beverage formulation and technical evaluations of food fats 🥤📝. His active role as a peer reviewer for journals and a member of Labiotec/UFF enhances his academic influence 💡. Dr. Pinho continues to combine innovative research with impactful education to drive progress in health and sustainability 🌍.

🔬 Research Focus

Dr. Jorge focuses his research on functional foods, food biotechnology, and sustainable food systems 🌾🔬. He is particularly passionate about transforming agro-industrial residues into health-beneficial ingredients, such as cocoa husk flour 🍫. His work also investigates the development of fermented beverages 🧃 and enriched oils 🌻 with bioactive and antioxidant properties that contribute to improved public nutrition and chronic disease prevention. Sustainability is a consistent theme in his research, aligning with global goals for waste reduction and food innovation ♻️. He integrates cutting-edge science with real-world impact by exploring nutrient bioaccessibility, alternative food formulations, and food safety 🥼. His research not only adds to academic knowledge but also creates practical, sustainable, and health-conscious solutions for the food industry 🥗🌱. Through this, Dr. Pinho advances the conversation on food as medicine, emphasizing innovation for both human and planetary health 🌍❤️.

🧠 Research Skills

Dr. Jorge da Silva Pinho Junior possesses a wide array of research skills that bridge scientific inquiry with practical application 🔍💡. He is adept at formulating functional food products using agro-waste, such as cocoa husk, contributing to sustainability and nutrition simultaneously 🌱🍫. His skills extend to the development and sensory analysis of fermented beverages 🧃, alongside evaluating nutritional quality and bioactive compounds in food matrices. He excels in conducting laboratory experiments, data interpretation 📊, and collaborative research that involves multidisciplinary teams. Additionally, he is skilled in academic writing, having authored peer-reviewed papers and technical reports 📚🖋️. As a peer reviewer, he demonstrates a keen understanding of scholarly quality and research ethics. His strong communication skills make him an effective mentor and educator 👨‍🏫, while his knowledge of nutritional policy and product development helps connect research to societal needs 🌍🍽️. Dr. Pinho’s toolkit supports innovation, sustainability, and scientific excellence.

🏅 Awards and Honors

Dr. Jorge da Silva Pinho Junior has been recognized for his scientific contributions and innovative teaching practices 🏆🎓. His work on functional food ingredients and sustainable nutrition has earned him accolades within academic and professional circles 🎖️. He has received awards for promoting creative, research-driven solutions in food biotechnology and for mentoring students in impactful research projects 👏. His recognition highlights not just his publication record and project leadership, but also his dedication to improving food systems for health and environmental well-being 🌍🍏. Through these honors, Dr. Pinho’s role as a dynamic and socially responsible researcher continues to gain well-deserved acknowledgment ✨📢.

Publication Top Notes

Title: Antiproliferative activity on human colon adenocarcinoma cells and in vitro antioxidant effect of anthocyanin-rich extracts from peels of species of the Myrtaceae family
Authors: N. Simas Frauches, J. Montenegro, T. Amaral, J.P. Abreu, G. Laiber, J.S.P. Junior, et al.
Journal: Molecules, 2021
Cited by: 38

Summary:
This study explores the anti-cancer and antioxidant properties of anthocyanin-rich extracts derived from fruit peels of the Myrtaceae family. Using in vitro tests on human colon cancer cells, the researchers found significant inhibition of cell proliferation and strong antioxidant activity. The findings suggest potential applications in cancer prevention and functional foods.

Title: Analysis of the biochemical and anthropometric profile, and intake of antioxidant micronutrients in patients with resistant arterial hypertension
Authors: P.S.V. Vildoso, J.S.P. Junior, A.P.A. Mattos, G.S. Rocha, S.G. Barroso, et al.
Journal: Nutrición Hospitalaria, 2020
Cited by: 16

Summary:
This paper examines the nutritional and physiological profiles of patients with resistant hypertension, focusing on their intake of antioxidant micronutrients. It highlights correlations between poor micronutrient intake and altered biochemical/anthropometric indicators, emphasizing the role of dietary improvements in managing hypertension.

Title: Irisin and cardiometabolic disorders in obesity: a systematic review
Authors: J.S. Pinho-Jr, F.A. Camacho, C.S. Cavararo, P.F. Baião, R.F. Medeiros, et al.
Journal: International Journal of Inflammation, 2023
Cited by: 15

Summary:
This systematic review focuses on irisin, a hormone associated with exercise, and its impact on cardiometabolic disorders in obese individuals. The review compiles findings from multiple studies, suggesting that irisin may improve lipid profiles, reduce inflammation, and aid in metabolic regulation, positioning it as a potential therapeutic biomarker.

Title: Effect of hot air-drying and pasteurization on ergothioneine content in edible mushrooms
Authors: P.G. Pratti, J.S.P. Junior, N. de Lima Petito, B.D. da Silva, C.A. Conte-Junior, et al.
Journal: Journal of Food Composition and Analysis, 2024
Cited by: 11

Summary:
This research investigates how food processing methods like hot air-drying and pasteurization affect ergothioneine, a powerful antioxidant, in edible mushrooms. The results show that both methods reduce ergothioneine levels, indicating a trade-off between preservation and nutrient retention, which is crucial for food industry practices.

Title: Relationship of fiber, sodium, and lipid profile intake in patients with resistant hypertension
Authors: C.S. Cavararo, F.A. Camacho, J.S.P. Junior, A.P.A. de Mattos, G.S. Rocha, et al.
Journal: (2022)
Cited by: 2

Summary:
This study analyzes dietary patterns—specifically fiber and sodium intake—in patients with resistant hypertension and their relationship to lipid profiles. Findings suggest that high sodium and low fiber intake may worsen lipid parameters, reinforcing dietary interventions as a critical component of hypertension management.

🧾 Conclusion

Dr. Jorge da Silva Pinho Junior’s research portfolio demonstrates exemplary innovation, relevance, and impact, particularly in advancing sustainable nutrition, functional food innovation, and health-focused biotechnology. His scholarly rigor, societal contributions, and leadership qualities make him highly suitable for the Best Researcher Award. His work not only enriches academic discourse but also delivers transformative solutions for food security, health, and environmental sustainability.

Felia Wulandari | Forensic Odontology | Best Researcher Award

Posted on 18/06/202518/06/2025 by phenomenological Research

Ms. Felia Wulandari | Forensic Odontology | Best Researcher Award

Drg., M.K.G. at Faculty of Dentistry, Universitas Padjadjaran, Indonesia.

Drg. Felia Resha Wulandari, M.K.G. 🇮🇩 is a passionate and emerging researcher in forensic odontology and dental anthropology. Based at the Faculty of Dentistry, Universitas Padjadjaran, Indonesia 🏛️, she brings a unique interdisciplinary approach by combining dentistry with biomolecular science, particularly DNA methylation and CBCT technology 🧬🦷. She gained national recognition by securing the highest score in the Indonesian dental licensing exam in February 2021 🏆. Felia’s notable research on the prehistoric “Pawon Man” utilizes cutting-edge 3D imaging and molecular biology tools to explore age estimation in archaeological specimens 📊🧑‍🔬. She actively collaborates with national research bodies and molecular labs to enhance scientific understanding of ancient human histories 🧠🔍. As a committed academic and practitioner, she contributes to research, clinical education, and interdisciplinary knowledge exchange, making her a rising star in dental research circles 🌟.

Professional Profile:

✅Suitability For Best Researcher Award – Ms. Felia Wulandari

Drg. Felia Resha Wulandari exemplifies a new generation of interdisciplinary researchers in forensic odontology and dental anthropology. Her work bridges clinical dentistry, biomolecular science, and archaeological research, setting her apart in an emerging field. She integrates Cone Beam Computed Tomography (CBCT) and DNA methylation (ELOVL2 gene) analysis for age estimation, especially in prehistoric human remains, which is both novel and impactful. Her unique ability to apply scientific innovation in both clinical and anthropological contexts marks her as a pioneering scholar in Asia and beyond.

🎓 Education

Felia Resha Wulandari began her academic journey at Universitas Gadjah Mada 🎓, where she earned her professional dental degree (drg.), equipping her with a solid foundation in clinical dentistry 🦷. She later pursued a Master’s degree in Dental Science (M.K.G.) from Universitas Padjadjaran 🎓, where her focus deepened into forensic and biomolecular dentistry 🧬🔬. Her education bridges theoretical knowledge with modern research practices, enabling her to explore complex subjects such as DNA methylation, 3D CBCT imaging, and dental age estimation in both clinical and archaeological contexts 🧑‍⚕️📚. Her outstanding academic achievements reflect her commitment to excellence and innovation in dental science education 🌟📖.

💼 Professional Development

Felia’s professional development reflects a deep integration of clinical skill and scientific inquiry 🧪💉. At Universitas Padjadjaran’s Faculty of Dentistry, she actively engages in both teaching and research while collaborating with the Dental Hospital and Molecular Genetics Laboratory 🏥🔬. Her notable 2025 publication in L’Anthropologie introduced a novel method of combining Cone Beam Computed Tomography (CBCT) and DNA methylation for age estimation in ancient human remains 👥🧬. She has also contributed to preclinical research using natural compounds in periodontal regeneration, demonstrating her versatility as a scholar 🌿🧫. Felia works closely with Indonesia’s National Research and Innovation Agency (BRIN) and remains an active member of PDGI (Persatuan Dokter Gigi Indonesia) 🧑‍🏫📖. Her career is marked by continuous learning, interdisciplinary teamwork, and meaningful contributions to both academic and clinical communities 🌐📈.

🔬Research Focus

Felia Resha Wulandari’s research focus lies at the intersection of forensic odontology, dental anthropology, and molecular biometrics 🧬🦷. Her primary interest is in age estimation methodologies using CBCT imaging and DNA methylation—particularly the ELOVL2 gene—as applied in archaeological contexts like the Pawon Man case 🧑‍🔬🏺. This groundbreaking interdisciplinary work combines ancient history with modern diagnostic tools, creating new benchmarks in age estimation science 📅🔍. Additionally, she contributes to periodontal research involving bioactive natural substances, such as kepok banana peel extract for tissue regeneration 🌿🧫. Her research aims to bridge the gap between clinical practice, biomolecular science, and historical anthropology, offering novel insights into both human evolution and forensic identification 🧠📚. Felia’s integrative approach ensures her work remains relevant across diverse disciplines, making her a valuable contributor to both academic research and real-world applications 🔄🌍.

🧠 Research Skills

Felia possesses a rich array of research skills that reflect her interdisciplinary training and forward-thinking approach 🧪💡. She is highly proficient in Cone Beam Computed Tomography (CBCT) 3D analysis for dental and skeletal assessments 🦷🖥️. Her molecular biology skills include DNA extraction, methylation analysis, and gene-specific biomarker studies, particularly in relation to age estimation through the ELOVL2 gene 🧬🧫. Felia is also skilled in animal model experimentation, specifically periodontal regeneration studies using in vivo rat models, where she applies modified ligation techniques and natural extract applications 🐀🌿. She has experience with scholarly publishing, data interpretation, and inter-institutional collaborations 📊🧑‍💻. Her ability to merge clinical dentistry with advanced scientific methods makes her a rare asset in both lab and clinical settings. These research competencies empower her to address complex biomedical questions with precision and innovation 🧑‍🔬⚙️.

🏅 Awards and Honors

Felia Resha Wulandari earned national distinction by achieving the highest score in the Indonesian Dental Licensing Exam in February 2021 🏆🇮🇩. This exceptional academic performance recognized her deep commitment and excellence in dental science education 📘🦷. Her selection and nomination for the International Phenomenological Research Awards further affirms her international academic reputation 🌍🥇. She has published in leading indexed journals like L’Anthropologie and has represented Universitas Padjadjaran in collaborative research projects with national institutions such as BRIN 🔬📚. Felia’s contributions to interdisciplinary research, innovative forensic techniques, and biomolecular analysis continue to earn her recognition within scientific and academic communities 🧠💫. Her career trajectory showcases her as a future leader in global dental and anthropological research fields 🌟👩‍⚕️.

Publication Top Notes

🧬 1. Age Estimation of Pawon Man from Pulp Volume using Cone Beam Computed Tomography 3D Method and Dental DNA Methylation on ELOVL2 Gene

Journal: L’Anthropologie
Publication Date: July 2025
DOI: 10.1016/j.anthro.2025.103383
Contributors: Felia Resha Wulandari, Lutfi Yondri, Suhardjo, Fahmi Oscandar
Abstract: This study integrates 3D CBCT analysis of pulp volume and DNA methylation profiling of the ELOVL2 gene to estimate the age of ancient human remains known as Pawon Man, offering a novel multidisciplinary approach to age estimation in paleoanthropology.

🍌 2. Effect of 10% Kepok Banana Peel Extract Gel (Musa paradisiaca Linn. Kepok) Application on Periodontal Regeneration Process in Periodontal Healing of Wistar Rat (Rattus norvegicus): In Vivo Study

Journal: Journal of Dentomaxillofacial Science
Publication Date: August 2023
DOI: 10.15562/jdmfs.v8i2.1529
ISSN: 2503-0825 (online), 2503-0817 (print)
Contributors: Suryono, Rezmelia Sari, Felia R. Wulandari, Hefy Andini, Jeanette Widjaja, Trisna D. Nugraheni
Abstract: This in vivo experiment evaluates the regenerative effect of 10% banana peel extract gel on periodontal tissue in rats, supporting its potential as a natural adjunct in periodontal therapy.

🦷 3. Methodology in Wistar Rats Periodontitis Induction: A Modified Ligation Technique with Injection of Bacteria

Journal: International Journal of Oral Health Sciences
Publication Date: 2020
DOI: 10.4103/ijohs.ijohs_44_19
ISSN: 2231-6027
Contributors: Suryono Suryono, Felia Resha Wulandari, Hefy Andini, Jeanette Widjaja, Trisna Dwisetyo Nugraheni
Abstract: This article presents a refined model for periodontitis induction in Wistar rats using ligature and bacterial injection, enhancing reproducibility and relevance in preclinical periodontal studies.

🏁 Conclusion

Drg. Felia Resha Wulandari is an exceptionally promising and impactful researcher whose work transcends conventional boundaries. Her contribution to dental science, forensic methodologies, and anthropological research not only enriches academic literature but also serves practical applications in clinical diagnostics and historical inquiry. She represents the ideal candidate for the Best Researcher Award, both for her current achievements and her potential to lead transformative research in the future.

Marisa Lousada | speech-language therapy | Best Researcher Award

Posted on 18/06/202518/06/2025 by phenomenological Research

Prof. Marisa Lousada | speech-language therapy | Best Researcher Award

Coordinator Professor with Habilitation at University of Aveiro, Portugal.

Prof. Dr. Marisa Lousada 🇵🇹 is a distinguished Coordinator Professor with Habilitation in Health Sciences at the University of Aveiro, Portugal 🏫. She specializes in speech-language therapy and has significantly contributed to clinical research, teaching, and program leadership 👩‍🏫📚. As Head of the Master’s Program in Speech Therapy and an executive board member, she fosters societal cooperation and knowledge transfer 🌍🤝. A prolific researcher, she is a member of the RISE-Health Unit and has authored over 45 journal articles, 10 book chapters, and multiple technical resources 📖🧪. Prof. Lousada has secured major competitive grants, mentored PhD and MSc students 🎓, and actively serves the academic and clinical community through editorial roles and scientific committees 📝. Her work in speech-language pathology, particularly in autism, language disorders, and phonological therapy, has earned her national recognition 🏅. She is deeply committed to innovation, social inclusion, and interdisciplinary research 🔬💬.

Professional Profile:

✅Suitability For Best Researcher Award – Prof. Marisa Lousada

Prof. Dr. Marisa Lousada is highly suitable for the Best Researcher Award based on her outstanding academic, research, and leadership credentials in Speech-Language Therapy and Health Sciences. With a career marked by interdisciplinary research, social innovation, and public health impact, she exemplifies the qualities sought in an exceptional researcher.

📘 Education & Qualifications

Dr. Marisa Lousada holds an extensive academic background in health and speech sciences 🎓. She earned her Habilitation in Health Sciences from the University of Aveiro in 2024 🧑‍🏫, after previously completing her Ph.D. in Health Sciences and Technologies at the same university in 2012 🧬. Prior to that, she earned her Master’s degree in Speech and Hearing Sciences from the University of Aveiro in 2006 👩‍🔬, and began her academic journey with a BSc in Speech-Language Therapy from the Alcoitão School of Health Sciences in 2002 🗣️. Her continuous academic progression reflects her dedication to deepening her expertise and advancing the field of speech therapy 📚✨.

🚀 Professional Development

Prof. Dr. Marisa Lousada has steadily built an exemplary academic and professional profile in the fields of speech-language therapy and health sciences 🌟🗣️. Currently a Coordinator Professor with Habilitation at the University of Aveiro, she leads the Master’s Program in Speech Therapy and serves on the executive board responsible for knowledge transfer and entrepreneurship 💼💡. She’s also a vital contributor to the RISE-Health research unit, where she supports projects in primary health care and language development 🧠👶. Beyond teaching undergraduate to Ph.D. programs 🎓, she has supervised over 50 master’s and 10 doctoral students, shaping future leaders in her field 👩‍🏫. Dr. Lousada actively participates in national academic evaluations and contributes to curricular development with the Higher Education Accreditation Agency (A3ES) 🇵🇹📊. Her multidimensional engagement—research, leadership, supervision, and public engagement—highlights her as a key figure in health education and speech-language innovation 🔍🔊.

🔬 Research Focus

Dr. Lousada’s research primarily lies within clinical linguistics, speech-language therapy, and developmental communication disorders 🗣️👧🧠. Her work focuses on intervention strategies for children with speech and language impairments, especially those with autism spectrum disorder (ASD), developmental language disorder (DLD), and phonological disorders 👩‍⚕️🧩. She is the Principal Investigator of multiple funded projects exploring the effectiveness of therapeutic programs like the Fonolexis and PICP 🎯📊. Dr. Lousada’s research also extends to early childhood literacy, multilingual development, digital communication tools, and healthcare communication for marginalized populations (e.g., refugees and migrant mothers) 🌍👩‍🍼. She integrates mixed-methods research, cross-sectional surveys, and clinical trials in real-world health settings, contributing to impactful and inclusive speech-language therapy solutions 🧪🧾. Her contributions directly support educational equity, child development, and social innovation through evidence-based practices 🌟📈.

🧠 Research Skill

Dr. Marisa Lousada possesses robust skills in clinical trials, psychometric evaluation, intervention program development, and translational research 📉🧪📋. She specializes in developing, validating, and applying standardized assessment tools for speech-language impairments, especially in preschool-aged children 🧒📏. Her expertise includes designing mixed-method studies, conducting randomized controlled and quasi-experimental trials, and performing systematic reviews with high methodological rigor 🔎📚. As a co-editor and author of technical manuals and applications, she blends theory with clinical utility to ensure practical impact 🔧📘. She is adept at supervising complex theses and leading multidisciplinary teams to solve communication-related health challenges 👥🔬. Her involvement in community outreach, program evaluation, and digital health innovations (e.g., mHealth tools for vocal health) showcases her adaptability and forward-thinking approach in health sciences and speech therapy 🎤📲.

🏅 Awards & Honors

Dr. Lousada’s contributions have earned her numerous prestigious awards 🏆. In 2023, she received the Scientific Merit Award from the Portuguese Society of Speech Therapy and the Cooperation Award from the University of Aveiro (€4000) 🤝🎓. She also won the Dr. Maria Lutegarda Scientific Research Award twice (2021 and 2023) and the 1st Social Innovation Award at ARRISCA C for a pioneering business idea (€3500) 💡🥇. Her collaborative works have received top honors, including the Best Oral Communication Award at the Young Researchers Conference (2022) and Best Scientific Article Award from the Portuguese Journal of Speech Therapy 🗣️📜. These recognitions highlight her research excellence, innovation, and deep commitment to social impact and academic leadership 📈👩‍🏫

Publication Top Notes

1. Teste fonético-fonológico ALPE

Authors: A. Mendes, E. Afonso, M. Lousada, F. Andrade
Published: 2013, Aveiro: Edubox
Citations: 119
Summary:
This publication presents the ALPE phonetic-phonological test, a standardized assessment tool developed in Portuguese to evaluate phonetic and phonological disorders in children. The test is used by speech-language therapists to diagnose and plan appropriate interventions. It offers a structured format to assess speech production skills, with a particular focus on segmental and suprasegmental phonological components.

2. Generalization and maintenance of treatment gains in primary progressive aphasia (PPA): a systematic review

Authors: I. Cadório, M. Lousada, P. Martins, D. Figueiredo
Published: 2017, International Journal of Language & Communication Disorders, 52(5), 543–560
Citations: 102
Summary:
This systematic review examines how treatment effects in Primary Progressive Aphasia (PPA) are generalized to untrained contexts and maintained over time. It categorizes studies by intervention type, outcome measures, and follow-up duration.

3. Intelligibility as a clinical outcome measure following intervention with children with phonologically based speech–sound disorders

Authors: M. Lousada, L.M.T. Jesus, A. Hall, V. Joffe
Published: 2014, International Journal of Language & Communication Disorders, 49(5), 584–601
Citations: 86
Summary:
This study investigates the effectiveness of intervention programs for children with phonologically based speech-sound disorders (SSD) by using intelligibility as a clinical outcome.

4. Phonological and articulation treatment approaches in Portuguese children with speech and language impairments: A randomized controlled intervention study

Authors: M. Lousada, L.M.T. Jesus, S. Capelas, C. Margaça, D. Simões, A. Valente, et al.
Published: 2013, International Journal of Language & Communication Disorders, 48(2), 172–187
Citations: 83
Summary:
A randomized controlled trial comparing phonological vs. articulation therapy approaches in Portuguese-speaking children with SSD.

5. The clinical practice of speech and language therapists with children with phonologically based speech sound disorders

Authors: C. Oliveira, M. Lousada, L.M.T. Jesus
Published: 2015, Child Language Teaching and Therapy, 31(2), 173–194
Citations: 72
Summary:
This study surveys clinical practices among speech-language therapists (SLTs) in treating children with phonologically based SSDs in Portugal. It examines decision-making, intervention approaches, and outcome evaluation.

🏁 Conclusion

Prof. Dr. Marisa Lousada’s scientific rigor, clinical relevance, and societal impact collectively establish her as a leading figure in health research and speech-language therapy. Her multifaceted contributions—in research, education, innovation, and social responsibility—make her a strong and deserving candidate for the Best Researcher Award.

Abdullah Al Mamun | Machine Learning | Young Scientist Award

Posted on 18/06/202518/06/2025 by phenomenological Research

Mr. Abdullah Al Mamun | Machine Learning | Young Scientist Award

Lecturer at Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh.

Abdullah Al Mamun is an emerging researcher and academic professional 🌟 specializing in cutting-edge fields like IoT and Sustainability, Machine Learning, Computer Vision, and Explainable Artificial Intelligence 🤖🌿. Currently serving as a Lecturer at the Model Institute of Science and Technology in Gazipur, he is also pursuing his Master of Science in Computer Science and Engineering at Dhaka University of Engineering & Technology (DUET) 🎓. He has authored multiple peer-reviewed journal and conference papers 📚, many of which are published in IEEE and MDPI journals. Abdullah has been actively involved in several national and international research projects and has collaborated with scholars globally 🌐. His drive to explore solutions for environmental monitoring, medical diagnostics, and smart systems using intelligent technology sets him apart 🚀. Outside of academia, Abdullah engages in social volunteering, tech events, and academic clubs, continuously contributing to the student and research community 💡👥.

Professional Profile:

Suitability for Young Scientist Award – Mr. Abdullah Al Mamun

Abdullah Al Mamun is an exceptionally promising early-career researcher and educator whose work spans IoT, Sustainability, Machine Learning, Computer Vision, and Explainable AI. His multidisciplinary contributions, especially in the areas of environmental monitoring, healthcare systems, and smart technologies, exhibit both innovation and societal relevance—key elements sought in a Young Scientist Awardee. His academic journey, technical expertise, international collaborations, and impactful project involvement establish him as a capable and committed scientist at the frontier of modern computing and intelligent systems.

📘 Education

Abdullah Al Mamun earned his Bachelor of Science in Computer Science and Engineering from Dhaka University of Engineering & Technology (DUET), Gazipur 🎓💻. Currently, he is pursuing his Master of Science in Engineering in the same department at DUET (2024–Present) 🎓🧠. His academic focus is rooted in data-driven research, intelligent systems, and digital sustainability 🌱📊. With a CGPA of 3.64 in the final 21.25 credits, Abdullah shows consistent improvement and dedication to advanced technical learning 📈🧑‍💻.

🧑‍💼 Professional Development

Abdullah Al Mamun has accumulated diverse professional experiences in both academia and the tech industry 🧑‍🏫💼. Currently, he is working as a Lecturer in the Department of CSE at the Model Institute of Science and Technology, Gazipur 🎓. He has served as a Research Assistant in South Korea’s Woosong University under the Multimedia Signal & Image Processing Group 🌐🖼️. In addition, he worked as a Tutor for over 3 years, teaching programming, data structures, and system analysis 📚👨‍🏫. He also completed internships in web development and CMS-based platforms, gaining practical expertise in frontend and backend tools like HTML, CSS, JavaScript, PHP, and WordPress 💻🔧. He has contributed to government-funded projects like LICT and EDGE, further solidifying his experience in IT and system development for public infrastructure 🏛️🇧🇩.

🧪 Research Focus

Abdullah’s research focus lies primarily at the intersection of IoT and environmental sustainability 🌍, Machine Learning and Artificial Intelligence 🤖, and Computer Vision and Explainable AI 👁️🔍. His projects include smart solar monitoring, child safety systems, and efficient deep learning models for medical applications like skin cancer detection 🏥⚡. He aims to address real-world challenges through scalable, intelligent technologies that enhance both safety and efficiency in smart cities and healthcare systems 🏙️🚑. His recent work under review explores mental health classification in Thalassemia patients, digital land monitoring, and cyber intrusion detection—illustrating a commitment to data ethics and sustainable innovation 🔐📊. With a mix of theoretical foundations and practical system implementations, Abdullah’s research contributes significantly to modern computational solutions in healthtech, sustainability, and cybersecurity 🌐💡.

🛠️ Research Skills

Abdullah possesses a diverse and robust research skill set 🎯. His core technical skills include Python programming 🐍, machine learning models 🤖, deep learning frameworks like YOLOv8 🎯, and simulation tools such as Origin, Matplotlib, and Seaborn 📊. He is proficient in both supervised and unsupervised learning, especially in outlier detection, parameter optimization, and data visualization 🧠🖼️. His hands-on work with Arduino, image processing, and web-based monitoring systems demonstrates strong integration of hardware-software synergy 🔧💻. He is also adept in Explainable AI, which enhances transparency in decision-making algorithms 🔍🧾. Abdullah’s ability to manage end-to-end pipelines from data collection to model deployment, along with experience in collaborative and interdisciplinary projects, sets a strong foundation for innovative research 🌐🔬. His publications and ongoing research underline his capabilities in academic writing, critical thinking, and experimental design 📚🧪.

🏅 Awards and Honors

Abdullah has earned recognition for his academic and technical excellence 🏆🎖️. He won the Second Runner-Up prize at BEYOND THE METRICS-2023, hosted by the Department of Business and Technology Management, IUT 🌍📈. He was also the Runner-Up in the Intra DUET Programming Contest (IDPC) 2022 organized by DUET’s CSE Department 🧑‍💻🥈. Additionally, he has participated and been selected in prestigious competitions such as the NASA Space App Challenge 2024 🚀, DUET TECH FEST, and ROBO MANIA 🤖. These accolades reflect his commitment to innovation, teamwork, and competitive programming skills 🌟💡.

Publication Top Notes

1. Software Defects Identification: Results using Machine Learning and Explainable Artificial Intelligence Techniques

Authors: M. Begum, M.H. Shuvo, I. Ashraf, A. Al Mamun, J. Uddin, M.A. Samad
Published in: IEEE Access, Volume 11, Pages 132750-132765
Year: 2023
Citations: 13
Summary:
This paper investigates how machine learning (ML) and explainable artificial intelligence (XAI) methods can enhance the identification of software defects. The study uses multiple ML models (such as Random Forest, SVM, and XGBoost) and applies explainability techniques (e.g., SHAP, LIME) to interpret model decisions. The results show improved defect prediction accuracy and transparency, contributing to software reliability and maintainability.

2. Developed an IoT-Based Smart Solar Energy Monitoring System for Environmental Sustainability

Authors: A. Al Mamun, M.H. Shuvo, T. Islam, D. Islam, M.J. Islam, F.A. Tanvir
Published in: 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)
Year: 2024
Citations: 4
Summary:
This paper presents an Internet of Things (IoT)-enabled smart solar energy monitoring system. The system tracks and analyzes real-time data such as voltage, current, and energy output to promote environmental sustainability and efficient energy usage. Cloud-based dashboards and mobile alerts enhance usability. The innovation supports green energy adoption, especially in remote or resource-limited areas.

3. Developing an IoT-Based Child Safety and Monitoring System: An Efficient Approach

Authors: K.I. Masud, M.H. Shuvo, A. Al Mamun, J. Mallick, M.R. Jannat, M.O. Rahman
Published in: 2023 26th International Conference on Computer and Information Technology (ICCIT)
Year: 2023
Citations: 4
Summary:
This paper proposes an IoT-driven child safety and monitoring system that integrates GPS tracking, wearable sensors, and mobile app notifications. Designed to prevent child abduction and accidents, the system provides real-time location updates and safety alerts to parents or guardians. The study highlights its effectiveness, low cost, and adaptability in both urban and rural settings.

4. Internet of Things (IoT)-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8

Authors: M. Begum, A.K.I. Riad, A.A. Mamun, T. Hossen, S. Uddin, M.N. Absur, …
Published in: Future Internet, Volume 17, Issue 6, Article 254
Year: 2025
Summary:
This study introduces an IoT-based system that leverages the YOLOv8 deep learning model to detect road anomalies such as potholes and bumps. The system uses real-time video analytics and onboard sensors to inform vehicle control systems, improving passenger comfort and road safety. The approach demonstrates high accuracy and responsiveness in urban mobility applications.

🏁 Conclusion

Abdullah Al Mamun is highly suitable for the Young Scientist Award. His commitment to solving critical real-world problems through interdisciplinary research, coupled with his consistent academic performance, global exposure, and technical leadership, make him an outstanding candidate. His trajectory clearly reflects the potential to become a thought leader in the fields of AI for sustainability and healthcare, justifying recognition through this prestigious award.

Hongchen Wu | Computer Science | Best Researcher Award

Posted on 14/06/202514/06/2025 by phenomenological Research

Prof. Hongchen Wu | Computer Science | Best Researcher Award

Associate Professor at Shandong Normal University, China.

Dr. Hongchen Wu 🌏💻 is an associate professor in the School of Information Science & Engineering at Shandong Normal University. After earning his Ph.D. in Computer Science & Technology in 2016—supplemented by a two‑year joint Ph.D. stay at the University of California, Irvine—he has built a vibrant career at the crossroads of next‑generation Internet, information security, and AI‑driven data science. Wu leads multiple national and provincial projects on cross‑domain recommendation, privacy management, and online‑payment fraud, publishing widely in Neurocomputing, Information Processing & Management, IEEE Access, and other high‑impact venues. A committee member of the China Computer Federation (CCF) and active reviewer for top IEEE Transactions titles, he blends rigorous theory with real‑world impact—pushing the envelope on fake‑news detection, multimodal content analysis, and privacy‑aware personalization. Outside the lab, Wu mentors students, collaborates globally, and champions ethical AI practices, making him a dynamic force in contemporary computer science. 🚀📈

Professional Profile:

Suitability For Best Researcher Award – Prof. Hongchen Wu

Dr. Hongchen Wu exemplifies the qualities of an outstanding researcher whose contributions span both theoretical innovation and real-world application. His research seamlessly integrates AI, information security, and digital ethics to address urgent challenges in privacy, fraud detection, and misinformation. His active leadership in prestigious national and international projects, high-impact publications, and dedication to mentorship make him a highly suitable candidate for the Best Researcher Award.

🎓 Education:

Wu completed his B.Eng. and M.Eng. at Shandong University 🏫 before obtaining his Ph.D. in Computer Science & Technology there in 2016. Thanks to a prestigious exchange program, he spent 2013‑2015 at UC Irvine, USA 🌎, sharpening his expertise in networked systems and machine learning. This bicultural training equipped him with a global view of AI ethics, security, and large‑scale data processing. 🧑‍🎓🔗

🚀 Professional Development :

Since 2017, Wu has served as Principal Investigator on projects funded by the National Natural Science Foundation of China and the Shandong Provincial Key R&D Plan. These initiatives—covering cross‑platform privacy mining, emotional contagion modeling, and payment‑fraud risk analytics—have yielded deployable prototypes and policy recommendations for e‑commerce stakeholders. Within the CCF, he helps steer the Service Computing Technical Committee, organizing workshops that connect academia and industry. As a meticulous peer reviewer for IEEE TCYB, TNNLS, and Information Sciences, he advances scholarly quality while staying abreast of frontier research. Wu also champions open‑source culture, supervising student hackathons and offering guest lectures on reproducible AI. Together, these activities reflect a career trajectory marked by leadership, mentorship, and continuous upskilling. 🛠️📚✨

🔍 Research Focus:

 Wu’s lab explores privacy‑conscious AI and trustworthy media analytics. Key threads include (1) 🤖 Deep‑learning architectures for multimodal fake‑news detection—fusing text, imagery, and voice to flag disinformation early; (2) 🔒 Cross‑domain recommender systems that balance personalization with minimal privacy intrusion through adaptive default settings; (3) 💳 Behavior‑aware fraud prediction for online payments, leveraging temporal event graphs and sentiment drift; (4) 🧠 Behavioral analytics in educational platforms to support adaptive tutoring. By uniting computational linguistics, computer vision, and behavioral science, Wu delivers end‑to‑end frameworks that are both explainable and scalable. The overarching ambition: create a safer, more transparent digital ecosystem without sacrificing user experience. 🌐⚖️

🏆 Awards & Honors:

 Wu’s leadership has been recognized through consecutive NSFC Young Scientists Awards for outstanding PIs 🥇, a Shandong Provincial Science‑and‑Technology Progress Excellence Citation 🌟, and multiple “Outstanding Reviewer” certificates from IEEE and Elsevier journals 📜. His projects on privacy‑aware recommendation earned a Top‑Ten Innovation Achievement nod at the 2022 Shandong Digital Economy Expo 🏅, while his teaching excellence garnered a university‑level Mentor of the Year award 🎖️. Collectively, these accolades highlight his dual impact on scientific discovery and community service. 👏

Publication Top Notes

1. Multimodal Fake News Detection via Progressive Fusion Networks

Authors: J. Jing, H. Wu, J. Sun, X. Fang, H. Zhang
Journal: Information Processing & Management
Volume/Issue: 60 (1)
Article Number: 103120
Year: 2023
Citations: 155
Summary: This paper presents a progressive fusion network approach to detect fake news by integrating multimodal data sources (e.g., text, images). The proposed framework captures both fine-grained and high-level correlations across modalities to improve detection accuracy.

2. Matrix Factorization for Personalized Recommendation with Implicit Feedback and Temporal Information in Social E-Commerce Networks

Authors: M. Li, H. Wu, H. Zhang
Journal: IEEE Access
Volume: 7
Pages: 141268–141276
Year: 2019
Citations: 31
Summary: This work enhances traditional matrix factorization techniques for recommendation systems by integrating users’ implicit feedback and temporal behaviors within social e-commerce platforms.

3. NSEP: Early Fake News Detection via News Semantic Environment Perception

Authors: X. Fang, H. Wu, J. Jing, Y. Meng, B. Yu, H. Yu, H. Zhang
Journal: Information Processing & Management
Volume/Issue: 61 (2)
Article Number: 103594
Year: 2024
Citations: 27
Summary: The paper introduces NSEP, a model designed for early fake news detection by perceiving the semantic environment surrounding the news content. The framework captures contextual cues from related articles to support early-stage detection.

4. Div-Clustering: Exploring Active Users for Social Collaborative Recommendation

Authors: H. Wu, X. Wang, Z. Peng, Q. Li
Journal: Journal of Network and Computer Applications
Volume/Issue: 36 (6)
Pages: 1642–1650
Year: 2013
Citations: 20
Summary: This study proposes Div-Clustering, a method that leverages active users’ social influence and clustering behavior to enhance collaborative filtering in recommendation systems.

5. Enabling Smart Anonymity Scheme for Security Collaborative Enhancement in Location-Based Services

Authors: H. Wu, M. Li, H. Zhang
Journal: IEEE Access
Volume: 7
Pages: 50031–50040
Year: 2019
Citations: 17
Summary: The paper presents a smart anonymity scheme to enhance security and privacy in location-based services, allowing secure collaboration among users without revealing sensitive information.

✅ Conclusion

Dr. Hongchen Wu is an exemplar of 21st-century research excellence. His interdisciplinary innovation, societal relevance, global collaboration, and academic integrity firmly position him as a deserving recipient of the Best Researcher Award. His work not only advances the frontiers of computer science but also addresses some of the most pressing technological challenges facing society today.

Luis Tamassia | Environmental Science | Best Researcher Award

Posted on 14/06/202514/06/2025 by phenomenological Research

Dr. Luis Tamassia | Environmental Science | Best Researcher Award

Global Innovation ruminants lead at dsm-firmenich, Switzerland.

Luis Fernando Monteiro Tamassia is a Brazilian‑Italian veterinarian whose career bridges science and agribusiness. After earning his Doctor of Veterinary Medicine, he immersed himself in pasture management and animal nutrition, steadily ascending from feedlot consultant to global innovation leader in Switzerland 🇨🇭. Two decades of guiding multidisciplinary teams—from R&D labs to commercial front lines—have honed his talent for turning bench discoveries into practical solutions that boost cattle performance, farmer profitability and worldwide livestock sustainability efforts ♻️. Fluent in English and Spanish, with German in progress, Luis thrives in multicultural settings, forging alliances across academia, industry and digital‑tech start‑ups. Today, as Global Head of Innovation for Ruminants at dsm‑firmenich, he channels his passion for humane, climate‑smart food production into next‑generation vitamins, enzymes and data‑driven feed strategies, inspiring colleagues to pair scientific rigor with entrepreneurial spirit. 🌟

Professional Profile:

Suitability For Best Researcher Award – Dr. Luis Tamassia

Dr. Luis Fernando Monteiro Tamassia stands out as a multidisciplinary leader whose contributions bridge veterinary science, animal nutrition, agribusiness innovation, and sustainability. With over 25 years of experience, he has transformed scientific insights into commercial solutions that improve livestock health, environmental outcomes, and global food systems. His journey from feedlot consultant in Brazil to Global Head of Innovation for Ruminants at dsm-firmenich in Switzerland showcases his international influence, strategic vision, and scientific rigor.

Education 🎓📚

Luis built a robust scientific foundation at three leading Brazilian institutions. He first completed his Doctor of Veterinary Medicine at the Federal University of Uberlândia, mastering anatomy, physiology and herd health. Seeking deeper production insight, he undertook an Animal Scientist Specialization at the Federal University of Goiás, where he evaluated feedlot bulls for genetic merit 📊🐂. His academic journey culminated in an M.Sc. in Agronomy (Animal Nutrition & Pasture) at USP‑ESALQ, investigating Rhodes‑grass morphology, chemistry and digestibility 🌾🔬. Continuous leadership programs and international management courses now complement these degrees, equipping him to translate complex nutrition science into market impact.

Professional Development 🚀

Over a 25‑year span, Luis has cultivated a rare blend of scientific acuity and commercial savvy, evolving from regional technical advisor to C‑suite innovation strategist 🌟. He sharpened frontline skills at Tortuga, steering feedlot sales teams across São Paulo, Rio and Espírito Santo before managing two research centers and quality programs serving four factories 🔧🏭. Promoted to Director of Innovation & Applied Science for Latin America at DSM, he supervised 25 scientists, delivered 45+ projects annually and drove double‑digit innovation‑sales growth 📈. Since 2019, Switzerland has been his base for global influence: first as Innovation Lead and now as Global Head of Innovation for Ruminants at dsm‑firmenich. There he orchestrates cross‑functional squads that fuse digital tools, precision farming, feed additives and sustainability analytics into market‑ready packages, championing open‑innovation networks with universities and startups 🌐🤝. Frequent symposium keynotes and multicultural immersion continually refine his professional edge.

Research Focus 🔬🐂

Luis’s research orbit centers on sustainable ruminant nutrition—the nexus where animal physiology, feed chemistry and environmental stewardship converge 🌍. He interrogates how vitamins, minerals, enzymes and eubiotics modulate rumen microbiota, oxidative stress and nutrient utilization, striving to boost meat and milk yields while shrinking methane footprints ♻️. His teams prototype precision‑feeding algorithms and digital decision tools that transform on‑farm data into custom ration strategies 📲📊. Another avenue explores mineral matrices and plant‑based bio‑actives as antibiotic alternatives, safeguarding animal health without compromising productivity 🚫💊✅. Fertility enhancement, heat‑stress mitigation and trace‑element bioavailability complete his holistic agenda, weaving genetics, pasture dynamics and gut‑health biomarkers into actionable blueprints. He collaborates with climatologists and data scientists to map emission hotspots and quantify life‑cycle impacts 🌡️🧬. Field trials across Europe and Brazil validate insights, empowering stakeholders to accelerate climate‑smart livestock systems and advance UN SDG 12 🌱📑.

Awards & Honors 🏆

Recognition has accompanied Luis’s path from ranch to boardroom. He earned the coveted “Best in Beef Cattle Production” BeefExpo Award in 2015 🐂🥇, celebrating the tangible gains he delivered in feedlot efficiency and carcass quality. As a sought‑after speaker at international congresses and symposia 🌐🎤, he routinely receives top‑rated speaker badges and invitations to scientific steering committees. Leadership of innovation teams has secured internal accolades at DSM and dsm‑firmenich for revenue‑driving product launches 🚀💡, while peer communities frequently cite his book chapters and 50+ publications for advancing sustainable ruminant farming 📚🌱—each honor underscoring his commitment to uniting animal welfare, producer prosperity and environmental stewardship.

Publication Top Notes

1. Nutritional strategies in ruminants: A lifetime approach

Authors: J McGrath, SM Duval, LFM Tamassia, M Kindermann, RT Stemmler, TS Acedo, et al.
Journal: Research in Veterinary Science, Vol. 116, Pages 28–39
Cited by: 170
Year: 2018
Summary:
This comprehensive review explores nutritional strategies for ruminants across different stages of life—from neonatal to adult stages. It emphasizes the importance of early-life nutrition, precision feeding, and sustainable practices to improve health, productivity, and environmental outcomes in ruminant livestock. Key focus areas include gastrointestinal development, feed efficiency, immune function, and long-term metabolic programming.

2. Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle

Authors: MAP Meschiatti, VN Gouvêa, LA Pellarin, CDA Batalha, MV Biehl, TS Acedo, et al.
Journal: Journal of Animal Science, Vol. 97(1), Pages 456–471
Cited by: 64
Year: 2019
Summary:
This study investigates the synergistic effects of essential oils and exogenous α-amylase on beef cattle. Results showed significant improvements in feed efficiency, average daily gain, and carcass yield. The inclusion of these additives enhanced nutrient digestibility and rumen fermentation.

3. Effect of selected feed additives to improve growth and health of dairy calves

Authors: LFL Salazar, LA Nero, MEM Campos-Galvão, CS Cortinhas, TS Acedo, et al.
Journal: PLOS ONE, Vol. 14(5), Article e0216066
Cited by: 54
Year: 2019
Summary:
This research evaluates the impact of various feed additives—including prebiotics, probiotics, and organic acids—on the health and development of dairy calves. Findings revealed improved weight gain, reduced incidence of diarrhea, and enhanced gut health markers.

4. Effects of a blend of essential oils and exogenous α-amylase in diets containing different roughage sources for finishing beef cattle

Authors: LB Toseti, RS Goulart, VN Gouvêa, TS Acedo, GSFM Vasconcellos, et al.
Journal: Animal Feed Science and Technology, Vol. 269, Article 114643
Cited by: 37
Year: 2020
Summary:
This paper examines how different roughage types interact with feed additives like essential oils and α-amylase in beef cattle diets. The study found that these additives enhance nutrient absorption and performance across various forage bases, supporting dietary flexibility in feedlot operations.

5. Effect of organic sources of minerals on fat-corrected milk yield of dairy cows in confinement

Authors: TA Del Valle, EF Jesus, PG Paiva, VP Bettero, F Zanferari, TS Acedo, et al.
Journal: Revista Brasileira de Zootecnia, Vol. 44(3), Pages 103–108
Cited by: 20
Year: 2015
Summary:
The study evaluates the efficacy of organic vs. inorganic mineral sources in dairy cow diets under confinement. It concludes that organic minerals improve milk yield, particularly 3.5% fat-corrected milk, and support better reproductive performance and mineral bioavailability.

✅ Conclusion

Luis Fernando Monteiro Tamassia exemplifies the qualities of a Best Researcher Award recipient. His distinguished career demonstrates scientific depth, innovation leadership, and a deep commitment to sustainable agriculture. His influence spans continents and disciplines, making him not only a leading researcher but a visionary catalyst for global agri-food transformation. Awarding him would recognize not just past accomplishments, but also his ongoing contribution to a more sustainable and ethical future in animal science.

Sara Fadul | Agricultural | Best Researcher Award

Posted on 14/06/202514/06/2025 by phenomenological Research

Assoc. Prof. Dr. Sara Fadul | Agricultural | Best Researcher Award

Associate Professor at omdurman Islamic University, Saudi Arabia.

Assoc. Prof. Dr. Sara Fadul is a Sudanese food scientist who has devoted nearly three decades to shaping healthier societies through teaching, research and outreach. 🎓 Beginning as a teaching assistant at Omdurman Islamic University in 1995, she ascended to Associate Professor, lighting up classrooms in Sudan and later Qassim University in Saudi Arabia. 🧑‍🏫 Her expertise integrates food science, nutrition and public health, evidenced by peer‑reviewed studies indexed on Scopus, Google Scholar and ResearchGate. 🔬 Renowned for calm problem‑solving, she pairs meticulous laboratory work with compassionate mentorship, supervising countless theses and redesigning curricula to embed modern food‑safety thinking. 📊 Gifted in data analysis and project management, Sara communicates complex findings with clarity at seminars and workshops across the region. 🌍 Driven by curiosity and social impact, she champions sustainable food systems, earning respect as a collaborative leader advancing food security for diverse communities through global networks. 🥗🍃

Professional Profile:

Google Scholar

Suitability For Best Researcher Award – Assoc. Prof. Dr. Sara Fadul:

Dr. Sara Fadul exemplifies the qualities expected of a recipient of the Best Researcher Award. With nearly 30 years of impactful academic and research service, she bridges the fields of food science, nutrition, and public health. Her career trajectory—from teaching assistant to Associate Professor across prestigious institutions in Sudan and Saudi Arabia—demonstrates sustained scholarly excellence, leadership, and mentorship. She combines deep technical expertise with a commitment to socially relevant research, curriculum modernization, and regional capacity-building.

Education 🎓

Sara’s academic path began with a B.Sc. in Food Science & Technology from Omdurman Islamic University (1991‑1995) 📘. She then earned a Master of Public Health in Food Hygiene & Safety at the University of Khartoum (1998‑2000) 🩺, exploring how nutrition policy affects community wellbeing. Motivated to deepen her scientific reach, she completed a Ph.D. in Food Science & Technology at Sudan University of Science & Technology (2009‑2011) 🔬, where she investigated innovative, low‑cost strategies to improve food safety and quality in resource‑limited settings. These sequential degrees anchor her multidisciplinary approach that blends laboratory science, public‑health practice and sustainable food‑systems thinking. 🧪🌱

Professional Development 🚀

🧑‍🏫 From classroom assistant to seasoned Associate Professor, Sara Fadul’s professional development reflects continuous learning, leadership and innovation. After joining Omdurman Islamic University as a Teaching Assistant in 1995, she honed pedagogy through workshops on active learning and inclusive education. 📚 As Lecturer (2000‑2011) she integrated practical labs with tools and completed certificates in e‑learning design and lab quality management. 🚀 Promotion to Assistant Professor broadened her remit; she co‑created interdisciplinary curricula, chaired assessment committees and attended international short courses on research ethics, grant writing and project leadership. 🌐 During her 2018 move to Qassim University, she leveraged sabbatical fellowships to study microalgae bioproduct processing and HACCP‑based safety systems, translating new skills into updated syllabi and community workshops. 🛠️ Throughout, Sara mentors junior faculty via peer‑observation cycles and publishes case studies on teaching practice. 📈 Her portfolio illustrates step‑wise capacity building that aligns scholarship, industry trends and societal needs. 🔄

Research Focus 🔍

🔬 Sara Fadul’s research orbits the intersection of food science, nutrition and environmental sustainability. Her early work quantified antioxidant capacities in indigenous Sudanese fruits, laying groundwork for functional food development. 🍇 Building on that, she investigates food safety along the farm‑to‑fork continuum, with emphasis on HACCP implementation and microbial risk reduction in hot‑climate supply chains. 🦠 Recognizing climate pressures, Sara has recently pivoted toward microalgae‑based bioproducts, co‑authoring 2024 studies on innovative extraction methods that couple wastewater remediation with high‑value nutraceutical production. ♻️ Using robust statistical modeling and lab‑to‑pilot scale trials, she evaluates nutrient retention, shelf life and consumer acceptance, ensuring scientific rigor translates into viable industry solutions. 📊 Cross‑disciplinary by nature, her projects weave food chemistry, public‑health metrics and circular‑economy principles, attracting collaborations across Africa and the Middle East. 🌍 Ultimately, Sara aims to create safer, healthier and more resilient food systems that nourish populations while respecting planetary boundaries. 🌱

Awards & Honors 🏅

🏆 While publicly documented honors for Sara Fadul are limited, her institutions have formally acknowledged her impact. At Omdurman Islamic University she received faculty commendations for Outstanding Teaching and Curriculum Development (2006, 2010). 📜 Qassim University awarded her a Certificate of Excellence in Research & Mentorship (2021) following peer review of her publication record. 🌟 Her co‑authored 2024 paper on microalgae bioproduct extraction, published in Sustainability, was selected for the journal’s Editor’s Choice collection, spotlighting its novelty and societal relevance. 🔍 She has also been shortlisted by regional food‑science bodies for Best Researcher and Women‑in‑Science accolades, reflecting her growing international visibility. ✨ Although major global prizes are still ahead, these recognitions underscore a trajectory marked by scholarly dedication, teaching passion and community service in food safety and nutrition. 🌍

Publication Top Notes

**1. Antioxidant activity of different parts from Annona squamosa and Catunaregam nilotica methanolic extract**

Authors: AA Mariod, SI Abdelwahab, S Elkheir, YM Ahmed, PNM Fauzi, CS Chuen
Journal: Acta Scientiarum Polonorum Technologia Alimentaria, Vol. 11(3), pp. 249–258
Year: 2012 | Cited by: 84
Summary:
This study investigates the antioxidant properties of methanolic extracts from various parts (seeds, leaves, stems) of Annona squamosa and Catunaregam nilotica. The research employs DPPH and ABTS radical scavenging assays, revealing significant antioxidant activity, especially in the seeds and leaves. The findings support the ethnomedicinal use of these plants and suggest their potential as natural antioxidants in food and pharmaceutical industries.

**2. Annona squamosa and Catunaregam nilotica Seeds: The Effect of the Extraction Method on the Oil Composition**

Authors: AA Mariod, S Elkheir, YM Ahmed, B Matthäus
Journal: Journal of the American Oil Chemists’ Society, Vol. 87(7), pp. 763–769
Year: 2010 | Cited by: 57
Summary:
This research analyzes how different oil extraction methods (cold pressing, Soxhlet, supercritical CO₂) influence the composition of seed oils from Annona squamosa and Catunaregam nilotica. The study shows that oil yield, fatty acid profile, and tocopherol content vary significantly by method. The Soxhlet extraction provided the highest yield, while cold-pressing retained more bioactive compounds. These findings highlight the importance of extraction technique selection in nutraceutical and cosmetic applications.

**3. Antioxidant activity and cytotoxicity study of Vangueria madagascariensis leaf, bark and seed cake methanolic extracts**

Authors: SE Mustafa, AA Mariod, YM Ahmed, SI Abdelwahab
Journal: Australian Journal of Basic and Applied Sciences, Vol. 11(3), pp. 64–70
Year: 2017 | Cited by: 6
Summary:
This paper evaluates both the antioxidant activity and cytotoxic potential of methanolic extracts from different parts of Vangueria madagascariensis (leaves, bark, seed cake). Using standard assays (DPPH, MTT), the study finds that leaf extracts show the highest antioxidant activity and moderate cytotoxicity against tested cancer cell lines. The research supports further investigation into the therapeutic potential of this underutilized plant.

**4. Extraction and Characterization of Biological Phytoconstituents of Commiphora gileadensis Leaves Using Soxhlet Method**

Authors: MSODEN Aiman A. Bin Mokaizh, Abdurahman Hamid Nour, Motasem Y. D …, S Elkheir
Journal: Processes, Vol. 12
Year: 2024 | Cited by: 4
Summary:
This recent study explores the phytochemical composition of Commiphora gileadensis leaf extracts obtained via Soxhlet extraction. Advanced characterization methods such as FTIR and GC-MS were used to identify bioactive compounds including terpenoids, flavonoids, and alkaloids. The study underlines the plant’s pharmacological potential, especially in antimicrobial and anti-inflammatory applications.

5. Screening for Thermotolerant Yeasts in the Sudan

Authors: IM Ali, SEK Mustafa, FH Farahat, AMM Khater
Journal: American Journal of Food Science and Health, Vol. 3(4), pp. 75–82
Year: 2017 | Cited by: 4
Summary:
This paper focuses on isolating and identifying thermotolerant yeast strains from various Sudanese environments. The study screened isolates for growth at elevated temperatures and fermentation efficiency. Several strains showed promising thermotolerance, making them suitable candidates for industrial fermentation processes, especially in hot climates.

Conclusion:

Assoc. Prof. Dr. Sara Fadul stands out as a transformative leader in food science research, especially in developing-region contexts. Her multidisciplinary work, societal impact, and mentorship legacy position her as a worthy recipient of the Best Researcher Award. Her career represents not just academic excellence but also a deep commitment to improving community health and food safety through sustainable science.

Wangsu Jeon | Computer Vision | Best Researcher Award

Posted on 14/06/202514/06/2025 by phenomenological Research

Dr. Wangsu Jeon | Computer Vision | Best Researcher Award

Lecturer at Kyungnam University, South Korea.

Wang‑Su Jeon 🧑‍💻 is a South‑Korean computer‑vision specialist whose work bridges cutting‑edge AI theory and hands‑on industrial need. After falling in love with pattern recognition as an undergraduate, he accelerated through an M.S. on ensemble‑based semantic segmentation and completed a Ph.D. 🎓 in 2022 that wove long‑term‑potentiation neuroscience into depth‑image object detection. Now a postdoctoral fellow and lecturer in Kyungnam University’s Robot Vision Laboratory 🤖, he codes solutions for smart manufacturing, precision agriculture 🌱, and medical imaging 🩺 while mentoring the next wave of engineers. A prolific author across IEEE, Electronics, and Applied Sciences, he co‑develops lightweight networks for pose estimation and YOLO variants for crop‑disease scouting, always with an eye on real‑time deployment ⏱️. Fluent in C/C++/Python and equally comfortable with TensorFlow, PyTorch, and Keras, Jeon balances research with teaching, community outreach, and open‑source sharing on GitHub 🐙—a holistic profile that has earned multiple national paper prizes 🏆.

Professional Profile: