Prof Dr. Giovanni Di Guardo | Veterinary Science | Best Researcher Award

Prof Dr. Giovanni Di Guardo | Veterinary Science | Best Researcher Award

Prof Dr. Giovanni Di Guardo, Former Professor of General Pathology and Veterinary Pathophysiology, University of Teramo, Veterinary Medical Faculty, Italy

Based on Prof. Giovanni Di Guardo’s extensive curriculum vitae, he appears to be a highly qualified candidate for the Best Researcher Award. His credentials include:

Profile 🌟

Extensive Academic and Professional Experience 🎓💼

Prof. Di Guardo has a significant academic background with a degree in Veterinary Medicine and post-graduate fellowships. He has served as an Associate Professor at the University of Teramo and has extensive teaching experience in various veterinary disciplines.

International Research Contributions 🌍🔬

His research experience includes notable positions as a Fulbright Scholar and Visiting Scientist, contributing to comparative oncology and cetacean pathology. His work on transmissible spongiform encephalopathies (TSEs) and cetacean diseases has had a substantial impact on the field.

Leadership and Recognition 🏆👔

Prof. Di Guardo has held leadership roles in various scientific committees and associations. He has been involved in high-profile projects and research evaluations, including EU Phare Projects and international research boards.

Significant Publications and Research Output 📚🔍

He has authored over 500 scientific publications, with a substantial number in peer-reviewed journals. His research focuses on infectious diseases in animals and humans, specifically TSE pathogenesis and cetacean pathology.

Honors and Memberships 🎖️📜

Prof. Di Guardo is a diplomate of the European College of Veterinary Pathologists and has received numerous positive evaluations for professorships and research activities.

Given his distinguished career, substantial research output, and significant contributions to veterinary science and pathology, Prof. Giovanni Di Guardo would be a strong candidate for the Best Researcher Award.

Publication Top notes 📑🌟

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

Emerging infectious diseases in cetaceans worldwide and the possible role of environmental stressors

Clinical and neuropathological features of West Nile virus equine encephalomyelitis in Italy

Cetacean morbillivirus: current knowledge and future directions

The SARS-CoV-2 receptor, ACE-2, is expressed on many different cell types: implications for ACE-inhibitor-and angiotensin II receptor blocker-based cardiovascular therapies

Pathologic and immunohistochemical findings in naturally occurring West Nile virus infection in horses

Identification of an allelic variant of the goat PrP gene associated with resistance to scrapie

Post mortem investigations on cetaceans found stranded on the coasts of Italy between 1990 and 1993.

Sometimes Sperm Whales (Physeter macrocephalus) Cannot Find Their Way Back to the High Seas: A Multidisciplinary Study on a Mass Stranding

Phocine distemper virus: current knowledge and future directions

Prof. Mohammad Reza Naghavi | Biotechnology | Best Researcher Award

Prof. Mohammad Reza Naghavi | Biotechnology | Best Researcher Award

Prof. Mohammad Reza Naghavi, University of Tehran, Iran

🌟 Prof. Mohammad Reza Naghavi 🌟, a distinguished scholar at the University of Tehran, Iran 🇮🇷, is celebrated for his groundbreaking contributions in Biotechnology 🧬. Renowned for his innovative research, he has significantly advanced the field, earning him the prestigious Best Researcher Award 🏆. Prof. Naghavi’s work is marked by his dedication to exploring new frontiers in biotechnology, benefiting both the scientific community and society at large 🌍. His achievements and unwavering commitment to excellence have solidified his reputation as a leading expert in his field, inspiring future generations of researchers 👩‍🔬👨‍🔬.

PROFILE

Orcid

ACADEMIC QUALIFICATION

🎓 Prof. Mohammad Reza Naghavi is a distinguished scholar with a strong educational background in Agronomy and Plant Breeding. He earned his BSc (1990-1994) in Agronomy and Plant Breeding from Isfahan University of Technology, Iran. 🌱 He then pursued an MSc (1994-1996) in Plant Breeding at the University of Tehran, Iran. 🌿 His academic journey culminated with a PhD (1996-2001) in Plant Breeding – Biotechnology from the same esteemed institution. 🧬 Prof. Naghavi’s extensive education has equipped him with the expertise to contribute significantly to the field of plant breeding and biotechnology. 🌾📘

AWARD AND HONOR

Prof. Mohammad Reza Naghavi, first-ranked MSc (1997) and PhD (2001) graduate from the University of Tehran, has earned numerous accolades 🌟. He was named a Young Researcher at the Kharazmi Youth Award (2001) and a Prominent Researcher by the Ministry of Science, Research, and Technology (2009) 🏆. He received the Privileged Researcher award at the University of Tehran’s 20th Research Festival (2011) and was a Selected Candidate at the 2nd Learning Festival (2013) and 4th International Day Festival (2014) 🎓. He was honored as a Prominent Researcher in various festivals from 2015 to 2023 🥇 and held scholarships and guest researcher roles in Warsaw and the Netherlands 🌍.

AREA OF EXPERTISE

Prof. Mohammad Reza Naghavi is renowned for his expertise in Metabolite Engineering of medicinal plants 🌿. With a strong foundation in Plant Biochemistry and Molecular Biology 🧬, he delves into the intricate processes of plant metabolism. His work in Bioinformatics 💻 enhances his research, allowing for advanced data analysis and interpretation. Prof. Naghavi also excels in Biotechnology 🧪, applying cutting-edge techniques to improve plant health and productivity. His contributions to the field are invaluable, bridging the gap between traditional botany and modern technological advancements, and fostering a deeper understanding of plant sciences for medicinal purposes 🌱.

PRINCIPLE POSITION AND APPOINTMENTS

🌾 Prof. Mohammad Reza Naghavi has significantly contributed to the University of Tehran. He served as Head of the Agricultural Biotechnology Department (2009-2012) 🌱 and Dean of the Agricultural Science and Technology College (2012-2013) 🌾. From 2013 to 2018, he was the Director in Research and Technology 🌐. Since 2018, he has led the Intellectual Properties Office and, from 2019, also became Director General in Research Planning and Supervision 📊. His leadership and dedication have greatly advanced agricultural biotechnology and research at the university 🌟.

RESEARCH GRANTS RECEIVED

🌱 Prof. Mohammad Reza Naghavi has contributed extensively to genetic research, exploring diverse plant species and their molecular traits. His work spans a wide array of projects funded by prestigious organizations globally. From analyzing Aegilops tauschii germplasm in Sweden 🇸🇪 to evaluating genetic diversity in Chickpea germplasm in Mexico 🇲🇽, and studying medicinal plants like Artemisia in Iran 🇮🇷, Prof. Naghavi’s research integrates molecular markers with traditional and biotechnological methods. His current projects include genome-assisted discovery of sesquiterpenes in China 🇨🇳 and overexpression of enzymes in Taxus species in Italy 🇮🇹, aiming to enhance medicinal compound production. These efforts advance sustainable agriculture and biotechnological innovations worldwide.

PUBLICATIONS TOP NOTES

Identifying miRNAs and target genes associated with Allicin synthesis in Allium species

D.r Habte Tadesse Likassa | Neuroscience | Best Researcher Award

D.r Habte Tadesse Likassa | Neuroscience | Best Researcher Award

Dr.Habte Tadesse Likassa, Biomedical Image processing, Arizona State University, USA, United States

Dr. Habte Tadesse Likassa, an esteemed researcher in Biomedical Image Processing at Arizona State University, USA, has been honored with the Best Researcher Award in Neuroscience. His pioneering work delves into the intricate realm of analyzing biomedical images to advance our understanding of neurological disorders and treatments. Dr. Likassa’s contributions are marked by innovation and a commitment to unraveling the complexities of the human brain 🧠, utilizing cutting-edge technologies to enhance medical diagnostics and therapies. His accolade underscores his significant impact in merging neuroscience with advanced image processing techniques, promising profound implications for healthcare and scientific advancement globally.

Profile

Google Scholar

Educational Background

Dr. Habte Tadesse Likassa completed his academic journey with distinction, culminating in a Ph.D. in Statistics from National Taiwan University of Science & Technology in July 2019. His doctoral research focused on developing innovative robust methods for detecting outliers and handling heavy sparsity in high-dimensional images. Prior to this, he earned a Master’s degree in Statistics from Addis Ababa University in 2011 and a Bachelor’s degree from the University of Gondar in 2008. His coursework included intensive studies in detection and estimation theory, optimization techniques, and machine learning, totaling 24 credit hours. 🎓

Research Interest

Dr. Habte Tadesse Likassa specializes in deep robust algorithms and statistical signal processing, advanced machine learning, modeling, applied and spatial statistics, and optimization techniques. His expertise spans cutting-edge methodologies that enhance algorithmic resilience and accuracy in complex data environments. Dr. Likassa’s work not only advances theoretical frameworks but also applies them practically to solve real-world challenges. His research embodies a synergy of statistical rigor and computational efficiency, crucial in today’s data-driven era 🌐.

Work Experience

Dr. Habte Tadesse Likassa has been instrumental in Ethiopia’s Ministry of Planning and Development since 2020, focusing on GIS and modeling as a consultant. His work spans diverse areas such as water risk modeling with the World Resource Institute, integrating water and climate issues into strategic plans, and researching the economic impacts of initiatives like the Green Legacy using GIS and statistical analysis. He has also contributed significantly to understanding the economic costs of conflicts in northern Ethiopia, using GIS to map conflict hotspots and analyzing inflation and sector-specific damages. His expertise underscores a commitment to informed policymaking and sustainable development 🌍.

Teaching and research experience

Dr. Habte Tadesse Likassa is a seasoned academic with a rich background in statistics and research. His career spans diverse roles including postdoctoral fellowships at the Chinese Academy of Sciences and Federal University of Ceará, Brazil. He has held positions as an assistant professor at Addis Ababa University and Ambo University, where he also served as V/Dean. Dr. Likassa is deeply involved in academia, having delivered numerous courses and training sessions in statistical methods across various universities in Ethiopia. His contributions extend to reviewing for prominent journals and leading research projects, reflecting his commitment to advancing statistical science 📊.

Awards

Dr. Habte Tadesse Likassa is a distinguished scholar recognized for his outstanding achievements on the international stage. His accolades include the prestigious Best Presenter Awards at international conferences in Taiwan, Republic of China, and a full scholarship at National Taiwan University of Science and Technology. Dr. Likassa has also been highly commended for his research presentations at various universities across Ethiopia, including Addis Ababa University, Arba Minch, Dire Dawa, Haromaya, and Werabe Universities, garnering great appreciation. As Principal Investigator, he secured significant funding, notably 800,000 Birr for projects investigating the economic impact of COVID-19 in Ethiopia 🌍🏅.

Publications Top Notes

Factors influencing exclusive breastfeeding practice among under-six months infants in Ethiopia

The impacts of covariates on spatial distribution of corona virus 2019 (COVID-19): what do the data show through ANCOVA and MANCOVA

Robust regression for image alignment via subspace recovery techniques

Modified robust image alignment by sparse and low rank decomposition for highly linearly correlated data

Predictive models on COVID 19: What Africans should do?

Robust Image Recovery via Affine Transformation and  Norm

New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius and L2,1 Norms

New Robust Regularized Shrinkage Regression for High‐Dimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization

New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High …

Binary Logistic Regression Analysis in Assessing and Identifying Factors that Influence the Use of Family Planning: The Case of Ambo Town, Ethiopia