Prof Dr. Jiri Militky | Chemistry and Materials Science | Outstanding Scientist Award Posted on 28/06/202428/06/2024 by sciencefather Prof Dr. Jiri Militky | Chemistry and Materials Science | Outstanding Scientist Award Prof Dr. Jiri Militky, Technical university of Liberec, Czech Republic Prof. Dr. Jiri Militky, a distinguished scientist in Chemistry and Materials Science, has been honored with the Outstanding Scientist Award. 🌟 Hailing from the Technical University of Liberec, Czech Republic, Dr. Militky’s innovative research and groundbreaking contributions have significantly advanced these fields. 🔬 His dedication to scientific excellence and his pioneering work have earned him this prestigious recognition, showcasing his impact on the global scientific community. 🏆👏 Dr. Militky’s achievements continue to inspire and drive future advancements in chemistry and materials science. 🌐🔝 Profile Orcid Educational Background Prof. Dr. Jiri Militký has an extensive career in textile engineering and academia. He began at the State Textile Research Institute Liberec in 1973 and advanced to head the scientific development department at the Research Institute of Textile Finishing. He served as Dean and Vice Dean at the Textile Faculty of TU Liberec and became a professor in 2016. Prof. Militký leads a diverse group of young researchers from various countries, focusing on fibers, materials, and composites. His projects include EU-funded research on autonomous chassis and multifunctional materials. 📚🔬🌍 Professional Experience 🧵 Prof. Dr. Jiri Militký boasts a distinguished career in textile engineering, marked by numerous leadership roles. From 2019, he led the PhD studies board at the Textile Faculty. Previously, he served as professor at the Department of Material Engineering since 2016, and headed the department from 2013 to 2016. His tenure includes roles as Vice Dean for foreign affairs (2009-2012) and Dean of Textile Faculty (2003-2008, 1994-1999). Militký’s early career involved research at the State Textile Research Institute and leadership at the Research Institute of Textile Finishing. His research spans fibers, functional materials, and textile structures. 🌍📚🧪 Teaching Experience Prof. Dr. Jiri Militký has a rich affiliation history, serving in various key roles at TU Liberec. Since 2019, he has been the head of the PhD studies board at the Textile Faculty. He became a professor in the Department of Material Engineering in 2016 and previously led the department from 2013 to 2016. He has held numerous leadership positions, including Vice Dean and Dean of the Textile Faculty, Vice Rector for science and foreign affairs, and head of various departments. His teaching and research span fibers, materials engineering, and applied statistics. 📚👨🏫✨ Research Focus Prof. Dr. Jiří Militký has had a remarkable career at TU Liberec and the Textile Faculty. Since 2019, he has been the head of the PhD studies board. He served as professor and head of the Department of Material Engineering, Dean of Textile Faculty, and Vice Rector for science and foreign affairs. His research spans fibers, particles, functional materials, and textile structures modeling. He leads a diverse group of PhD students and postdoctoral researchers focused on material research. Notable projects include the HyHi and Modular Platform for Autonomous Chassis. 📚🔬🌍 Roles and Responsibilities Prof. Dr. Jiří Militký is a leading figure in research, development, and education in the fields of fibers, particles, functional materials, composites, textile structures modeling, textile material engineering, metrology, and applied statistics. 📚🔬 He chairs a diverse group of young specialists, including PhD students and postdoctoral researchers from China, India, Pakistan, and South Africa. 🌏👩🎓👨🎓 This team focuses on various aspects of material research, fostering innovation and collaboration. 🧪🔧 Prof. Militký’s commitment to advancing textile science is evident in his dedication to mentoring the next generation of scientists and engineers. 🌟🧵 Projects Prof. Dr. Jiri Militký has been actively involved in several significant projects, including the HyHi project funded by the European Union under the Operational Programme Research, Development and Education 2018-2022. He served as the head of research program 1, focusing on innovative solutions in the field. Another notable project led by him was the “Modular platform for autonomous chassis of specified electric vehicles for freight and equipment transportation,” funded by the European Union (Reg. No. CZ.02.1.01/0.0/0.0/16_025/0007293) from 2018 to 2022, where he headed research group 1. 🌐🔬 Publications Top Notes Preparation of Green Sustainable Cement Paste Mixture Based on Inorganic Additives: An Experimental and Modelling Approach Towards Sustainable Textiles for a Safer Planet: Main Topics Microplastics and Fibrous Fragments Generated during the Production and Maintenance of Textiles Incorporation of Cellulose-Based Aerogels into Textile Structures Fabrication of Pullulan/Polyvinyl Alcohol Core-Shell Nanofibers for Cancer Treatment and Drug Delivery Flexible Coated Conductive Textiles as Ohmic Heaters in Car Seats Characterization of Cellulose/Polyvinyl Alcohol/Expanded Graphite 3D Porous Foam and Adsorption of Methylene Blue Copper-Treated Environmentally Friendly Antipathogenic Cotton Fabric with Modified Reactive Blue 4 Dye to Improve Its Antibacterial and Aesthetic Properties Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing Acoustical Evaluation and Comparative Study of Maple Leaves and Coir and Polyester Fibers
D.r Habte Tadesse Likassa | Neuroscience | Best Researcher Award Posted on 24/06/202425/06/2024 by sciencefather 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