Abdo Megra Geda | Cognitive Development | Best Researcher Award

Mr. Abdo Megra Geda | Cognitive Development | Best Researcher AwardĀ Ā šŸ†

Veterinary Microbiologist at University of Gondar, Ethiopia.

Abdo Megra Geda is a highly qualified candidate for the Best Researcher Award. With a strong educational background in Veterinary Microbiology (MSc) and Veterinary Laboratory Technology (BSc), he has made notable contributions in research, laboratory work, and academia. His three publications in reputable journals demonstrate expertise in areas like veterinary medicine, disease diagnosis, and drug resistance. Additionally, his active role in teaching, mentoring, and laboratory diagnostics highlights his commitment to advancing veterinary sciences.

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Education šŸŽ“:

Abdo Megra Geda has an exceptional academic background in veterinary sciences. He earned his Master’s degree in Veterinary Microbiology from the University of Gondar in Ethiopia, where he gained in-depth knowledge of disease diagnostics, microbiological techniques, and antimicrobial resistance. His undergraduate studies in Veterinary Laboratory Technology at Ambo University provided him with a solid foundation in laboratory science, pathology, and clinical analysis. Additionally, he has completed numerous professional training programs to enhance his expertise. These include workshops on dairy science, poultry health, and the chemical castration of stray dogs, organized by prominent institutions like Ohio State University. His participation in workshops on pathology and mechanisms of disease with trainers from the University of California and the University of Georgia underscores his commitment to continuous learning. This academic and professional training has equipped him with the technical and theoretical skills required to excel in veterinary research and diagnostics.

Work Experience šŸ’¼:

Abdo Megra Geda has significant experience in veterinary laboratory technology and education. He currently works as Chief Technical Assistant at the University of Gondar, where he oversees laboratory-based teaching, student mentoring, and clinical diagnostics. His role includes designing laboratory manuals, preparing diagnostic protocols, and guiding postgraduate students in research projects. Previously, he served as a Senior Technical Assistant at the College of Veterinary Medicine and Animal Sciences, University of Gondar. In this role, he gained valuable experience in diagnosing biological samples, managing laboratory operations, and supporting student learning. Abdo’s professional experience extends beyond technical skills, as he has honed his teaching abilities through practical demonstrations for students. His strong leadership, organizational skills, and intercultural communication abilities make him an excellent team player and mentor. These experiences have enabled him to make substantial contributions to veterinary education and research.

 

Awards and Honors šŸ†

Abdo Megra Geda has demonstrated excellence in academia and research, earning recognition for his contributions to veterinary science. Though specific awards are not detailed in his current profile, his successful publication record and academic involvement highlight his potential to receive honors in the future. His participation in prestigious training programs, such as the International Dairy Certificate Program and workshops on advanced veterinary techniques, reflects his commitment to professional growth. These achievements underline his dedication to veterinary education and research. As a proactive and diligent researcher, Abdo continues to make strides in his field, paving the way for future accolades. His ability to contribute meaningfully to veterinary science positions him as a strong candidate for recognition in teaching, diagnostics, and research excellence. With continued efforts and further accomplishments, he is poised to earn honors that reflect his hard work and dedication to animal health and welfare.

Research Interests:

Abdo Megra Geda’s research focuses on advancing veterinary science through disease diagnostics, antimicrobial resistance, and parasitology. His work emphasizes the detection and treatment of infectious diseases in animals, contributing to the improvement of animal health and public safety. A significant aspect of his research involves studying Fowl Cholera in chickens, analyzing current diagnostic trends, and identifying phenotypic drug resistance. He has also explored the prevalence of ixodid ticks in cattle, providing insights into tick-borne diseases that impact livestock productivity. Another area of focus is teratogenic effects on neural tube development, shedding light on congenital abnormalities in veterinary medicine. Abdo’s commitment to addressing real-world challenges in veterinary health is evident in his publication record and ongoing diagnostic projects. His work bridges the gap between research and practical applications, with the aim of improving veterinary practices, supporting sustainable animal husbandry, and promoting effective disease management strategies.

šŸ“š PublicationsĀ 

  • Hematobiochemical Alterations and Lesion Characterization Caused by Fasciolosis in Cattle Slaughtered at Gondar ELFORA Abattoir, Ethiopia
    • Authors: AB Temesgen, T Mitiku, M Birhan, MC Kebede, M Yesuf, M Yayeh, …
    • Journal: bioRxiv
    • Year: 2024
    • DOI: 10.607441
  • Prevalence and Identification of Major Ixodid Ticks of Cattle in Guder Town, West Shewa, Ethiopia
    • Authors: ZG Wassie, AB Temesgen, AM Geda
    • Journal: African Journal of Pharmaceutical Sciences
    • Year: 2024

ConclusionĀ 

Abdo Megra Geda possesses an impressive combination of academic achievements, research expertise, and teaching excellence that makes him a strong contender for the Best Researcher Award. By addressing minor gaps in publication volume and interdisciplinary collaborations, he can further enhance his research profile and contribution to veterinary sciences.

 

 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardĀ 

Senior Assistant Professor at Ā Central University of Karnataka, Kalaburagi,India

šŸ“š šŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. šŸ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. šŸ–„ļø His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. šŸ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. šŸ… He has received two best research paper awards and actively participates in international conferences and committees. 🌐 Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

šŸ“š Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

šŸ¢ Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

šŸ… Awards and Honors:

  • Two Best Research Paper Awards šŸ†
  • UGC Major Research Project Fellow 🌟

šŸ”¬ Research Focus:

  • Digital Image Processing šŸ“·: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition šŸ”: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing šŸ“„: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning šŸ¤–: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision šŸ‘ļø: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

šŸ“š Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

šŸŽ“ Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications:Ā 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene ImagesšŸ“˜,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at WordlevelšŸ“—,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ“™,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP featuresšŸ“š,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognitionšŸ“•,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ““, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA featuresšŸ“„,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: SurveyšŸ“‘,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual documentšŸ“‚,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological featuresšŸ“‹,

Communications in Computer and Information Science, 2017, cited by 0.