Taye Mengistu | Machine learning | Best Researcher Award

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Mr. Taye Mengistu | Machine learning | Best Researcher Award

IT engineer, Jigjiga University, Ethiopia

Mr. Taye Mengistu is an innovative researcher and lecturer based at Jigjiga University, Ethiopia. With a strong foundation in computer science and information technology, he is making notable strides in applying machine learning to real-world challenges. His pioneering work includes utilizing ensemble convolutional neural networks (CNNs) for the classification of mango diseases, a significant advancement in agricultural technology aimed at enhancing crop health and productivity.

Profile

Google Scholar

Education 🎓

Mr. Taye Mengistu holds a Master’s degree in Computer Science from Jimma University, Ethiopia, where he graduated in January 2022 with a GPA of 3.58. Prior to this, he completed his Bachelor’s degree in Information Technology at Jigjiga University, Ethiopia, graduating in July 2017 with a GPA of 3.84. His strong academic background underscores his deep understanding and expertise in his field.

Experience 🏢

Mr. Taye Mengistu has been serving as a Lecturer at Jigjiga University, Ethiopia, since October 2017. With over five years of experience, he has played a crucial role in both teaching and research. His responsibilities include delivering lectures, supervising student projects, and conducting research in various domains. His tenure at the university reflects his dedication to academic excellence and his ongoing commitment to advancing knowledge in his field.

Research Interests 🔬

Classification of Mango Disease Using Ensemble Convolutional Neural Network

The classification of mango diseases using ensemble convolutional neural networks (CNNs) represents a cutting-edge research area at the intersection of agriculture and artificial intelligence. This research focuses on leveraging advanced machine learning techniques to accurately identify and categorize diseases affecting mango crops, which is crucial for improving agricultural productivity and sustainability.

Key Aspects of Research Interests:

Ensemble Convolutional Neural Networks (CNNs): Utilizing ensemble methods to combine multiple CNN models to enhance classification accuracy. This approach improves the robustness and reliability of disease detection systems by aggregating predictions from different models.

Disease Classification: Developing algorithms to classify various mango diseases based on visual symptoms captured in images. Accurate classification helps in timely diagnosis and effective management strategies, minimizing crop loss and ensuring better yield.

Image Processing and Analysis: Applying image processing techniques to preprocess and analyze mango leaf and fruit images. This includes noise reduction, feature extraction, and image augmentation to improve model performance.

Machine Learning in Agriculture: Exploring the application of machine learning models to agricultural problems, particularly in disease detection and management. This research aims to bridge the gap between AI technology and practical agricultural needs.

Sustainable Agriculture: Enhancing disease management practices to promote sustainable agriculture. By accurately classifying and managing diseases, farmers can reduce the reliance on chemical treatments, leading to more eco-friendly farming practices.

Awards 🏆

Certification in HDP, Jigjiga University (May 2022) – Recognized for his advanced skills and knowledge in his field.

Publications 📚

Classification of mango disease using ensemble convolutional neural network– JSmart Agricultural Technology 2024. link

 

 

 

 

 

Sumit Kumar | Data Science | Young Scientist Award

Posted on by Invention Awards

🌟Dr. Sumit Kumar, Data Science, Young Scientist Award🏆

Doctorate at Banshal Alliance University, India

Dr. Sumit Kumar Banshal, a Bangladeshi national, is an Assistant Professor in the Department of Computer Science & Engineering at Alliance University, Bangalore, India. With a PhD in Computer Science from South Asian University, New Delhi, India, Sumit has a strong foundation in academia and research. He is fluent in Bengali, English, Hindi, and Marwari. Sumit’s academic journey has seen him hold various teaching and research positions, including stints as an Assistant Professor and Senior Lecturer at Daffodil International University in Dhaka, Bangladesh. His research interests lie in altmetrics, scientometrics, information retrieval, and text mining.

Author Metrics

Google Scholar Profile

Scopus Profile

ORCID Profile

Dr. Sumit Kumar Banshal has made significant contributions to the field of computer science, with notable metrics reflecting his impact. He has published 32 papers indexed in Scopus, accumulating over 330 citations and achieving an h-index of 12. Additionally, Sumit is actively involved in the academic community, serving as an associate editor and reviewer for prestigious journals and conferences.

Sumit’s impact and productivity as a researcher. Citations reflect how often his work has been referenced by other researchers, while the h-index measures both the productivity and impact of his published work. The i10-index indicates the number of publications with at least 10 citations. While there’s a slight decrease in metrics since 2019, Sumit’s overall career metrics demonstrate a strong and impactful research profile.

Education

Sumit completed his PhD in Computer Science from South Asian University, New Delhi, India, with a thesis titled “An Analysis of Metrics for Scholarly Articles Derived from Bibliometric and Social Media Data.” Prior to this, he earned his MSc in Computer Science from the same institution. Sumit’s educational journey also includes a BSc (Hons.) in Information & Communication Engineering from the University of Rajshahi, Bangladesh.

Research Focus

Dr. Sumit Kumar Banshal’s research primarily focuses on altmetrics, scientometrics, information retrieval, and text mining. His doctoral thesis analyzed scholarly data using traditional bibliometric methods and social media metrics, aiming to understand the relationship between conventional impact assessments and social media impact assessments. Sumit’s expertise lies in exploring credible factors for higher social media mentions about scholarly data and developing integrated tools for automated social media mention analysis.

Professional Journey

Sumit’s professional journey includes academic positions such as Assistant Professor and Senior Lecturer at Daffodil International University, Dhaka, Bangladesh, and his current role as Assistant Professor at Alliance University, Bangalore, India. He has also served as a teaching assistant and senior software developer, gaining experience in both academia and industry. Sumit’s diverse roles have contributed to his expertise in areas like data mining, web engineering, and database management systems.

Honors & Awards

Throughout his career, Dr. Sumit Kumar Banshal has received recognition for his academic achievements. He has been awarded travel support for attending prestigious international conferences and workshops, including the INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS and the Indo-German Workshop on Information Retrieval, Informetrics & Scientometrics. Sumit has also received fellowships, scholarships, and merit awards in recognition of his research and academic excellence.

Publications Noted & Contributions

Sumit has made significant contributions to the academic literature, with notable publications presented at international conferences and workshops. His research papers cover diverse topics such as sentiment classification, altmetrics, research competitiveness analysis, and characterization of research performance. Sumit’s work has been well-received and cited by peers, contributing to the advancement of knowledge in his field.

Scientometric mapping of research on ‘Big Data’

Cited By: 57

Year: 2015

Designing a Composite Index for research performance evaluation at the national or regional level: ranking Central Universities in India

Cited By: 43

Year: 2016

Research performance of Indian institutes of technology

Cited By: 40

Year: 2017

Quantifying global digital journalism research: a bibliometric landscape

Cited By: 36

Year: 2022

Research performance of central universities in India

Cited By: 34

Year: 2017

Research Timeline

Sumit’s research timeline reflects a progressive journey from his undergraduate studies to his doctoral research and beyond. He began his research journey as a senior software developer, transitioning to roles as a teaching assistant, doctoral research scholar, and ultimately an assistant professor. Along this journey, Sumit has conducted research on various topics, leading to publications, presentations, and collaborations with colleagues and institutions worldwide.

Collaborations and Projects

Dr. Sumit Kumar Banshal has collaborated with researchers and institutions globally on projects related to his research interests. His collaborations have resulted in joint publications, workshops, and conference presentations. Sumit has also supervised master’s and bachelor’s projects, fostering research skills and mentorship among students. His collaborative projects have contributed to the advancement of knowledge and innovation in the field of computer science.