Deepali Bhamare | Deep Learning | Best Researcher Award

Posted on by ScienceFather

Ms. Deepali Bhamare | Deep Learning | Best Researcher Award

Ms. Deepali Bhamare, S.S.V.P.S.B.D’s COE Dhule, India

Deepali Bhamare is an accomplished educator and engineer with over two decades of experience in electronics and telecommunication. She holds a B.E. in Electronics and Telecommunication from NMU Jalgaon (2002), an M.E. in Digital Communication from R.G.P.V. Bhopal (2012), and is pursuing a PhD in Electronics Engineering. Deepali has worked in industry as a QC and Testing Engineer before transitioning into academia, where she currently serves as Assistant Professor at S.S.V.P.S. College of Engineering Dhule. She has actively contributed to various institutional committees and has attended numerous FDPs and workshops related to AI, machine learning, and research methodologies. 🎓📊📡

 

Publication Profile

Scopus

Educational Qualification

Ms. Deepali Bhamare has a robust educational background in Electronics and Telecommunications. She completed her H.S.C. in Science with 74.08%, followed by a B.E. in Electronics and Telecommunication Engineering from N.M.U. Jalgaon (64%) in 2002. She also holds a master’s degree in Digital Communication from R.G.P.V. Bhopal (75.03%), and is currently pursuing her PhD in Electronics Engineering from N.M.U., which showcases her commitment to advancing her expertise in the field.

Professional Experience

Her extensive work experience spans across both industry and academia. She worked as a Quality Control Engineer at renowned firms like Satronix India Pvt Ltd and Penguin Audio Products Ltd. Since 2008, she has transitioned into academia, holding roles such as Lecturer and Assistant Professor at S.S.V.P.S. College of Engineering, Dhule. Her academic career, coupled with her technical experience, demonstrates her comprehensive understanding of engineering principles and practical applications.

Training and Development

Ms. Bhamare has actively participated in various Faculty Development Programs (FDPs), Short-Term Training Programs (STTPs), and workshops. Notable topics include “Next Generation Artificial Intelligence,” “Python Programming with Django,” “Machine Learning and Deep Learning,” “Neural Networks and Fuzzy Logic,” and “Artificial Intelligence in Healthcare.” These programs indicate her continuous efforts to stay updated with emerging technologies, particularly in AI, machine learning, and data science.

Academic Involvement

In addition to teaching, she has held several key positions in her college, such as Member of the Anti-Ragging Committee, BC Cell, and Extra Curricular Cell, as well as Lab In-Charge. These roles highlight her dedication to both student welfare and the efficient management of college resources.

Conclusion

Ms. Deepali Bhamare’s well-rounded qualifications, research pursuits in electronics, and ongoing professional development through numerous FDPs and workshops position her as a strong candidate for the Best Researcher Award. Her blend of academic knowledge, research focus, and involvement in emerging technologies such as AI and machine learning, make her a notable contributor to the field of electronics engineering.

 

Publication Top Notes  

A Review on Person Identification Using Periocular Biometrics

Person Identification System Using Periocular Biometrics Based on Hybrid Optimal Dense Capsule Network

John Mutinda | Deep learning | Best Researcher Award

Posted on by ScienceFather

Mr. John Mutinda | Deep learning | Best Researcher Award

Mr. John Mutinda, USTC china, China

John Kamwele Mutinda is a passionate researcher currently pursuing an MSc in Machine Intelligence at the African Institute for Mathematical Sciences in Senegal. He holds a previous MSc in Mathematical Sciences from AIMS Rwanda and a BSc in Statistics from South Eastern Kenya University, where he graduated with First Class Honours. His research interests include statistical modeling, data science, and machine learning. John has significant teaching experience, having mentored high school students in mathematics and science. He has received several scholarships and awards, including the African Master’s in Machine Intelligence Scholarship. 🌍📊💻

Publication profile

Google Scholar


Education Background

Mr. John Kamwele Mutinda is currently pursuing his MSc in Machine Intelligence at the African Institute for Mathematical Sciences in Senegal (2022-2023). He previously earned an MSc in Mathematical Sciences from AIMS Rwanda, achieving an impressive cumulative GPA of 84.5/100 (Very Good Pass). John completed his BSc in Statistics at South Eastern Kenya University, graduating with First Class Honours and a GPA of 75.78/100. He also excelled in his Kenya Certificate of Secondary Education (KCSE) at Katwanyaa High School, obtaining a GPA of 67/84 (B+). 🎓📚🌍

 

Research Experience

Mr. John Kamwele Mutinda has actively contributed to significant research projects. In 2022, he modeled the impact of meteorological and air pollution parameters on COVID-19 transmission in the Western Cape Province of South Africa. He also applied Principal Component Analysis (PCA) within the health sector that same year. In 2020, John focused on modeling the human population growth rate in Kitui County, Kenya. His earlier work in 2019 involved time series modeling of infant child mortality rates in Kitui County. These experiences highlight his strong analytical skills and commitment to impactful research. 📊🌍📈

 

Teaching and Mentoring Experience

John Kamwele Mutinda has an extensive background in teaching and mentoring. In 2021, he provided tutorial services in Mathematics, Physics, and Chemistry at Katwanyaa High School, helping high school students excel academically. The previous year, he supported students in Mathematics, Agriculture, and Chemistry. His mentoring journey began in 2019, guiding students in Mathematics and Chemistry. In 2018, he taught Mathematics at Katwanyaa High School, and in 2017, he mentored students in Mathematics, Physics, and Agriculture. His commitment to education started as early as 2016 when he tutored Mathematics and Physics at Itheuni Secondary School. 📚👨‍🏫✨

 

Work Experience

John Kamwele Mutinda has diverse work experience in education and electoral roles. In 2021, he served as an Assistant Teacher and Departmental Assistant at Katwanyaa High School, where he was responsible for teaching, setting, supervising, and marking exams. He also acted as the Deputy Presiding Officer for the Independent Electoral and Boundaries Commission during the Machakos County senatorial elections. In 2019, he worked as an Enumeration Officer for the Kenya National Bureau of Statistics, conducting household and establishment surveys. Previously, in 2017, he was a Polling Clerk, responsible for verifying voters and counting votes during the general elections. In 2016, he was a Board of Management Teacher at Itheuni Secondary School, performing similar teaching duties. 📚🗳️👨‍🏫

 

Awards, Honours & Certificates

John Kamwele Mutinda has received numerous accolades for his academic and professional achievements. In 2023, he was awarded the prestigious African Master’s in Machine Intelligence Scholarship, funded by Facebook and Google, at the African Institute for Mathematical Sciences in Senegal. He also received the Next Einstein Initiative Master’s Scholarship Award in 2021. His educational accomplishments include a Certificate of Completion in Business Management from ESMT Germany and multiple Certificates of Merit in R, STATA, and SPSS from KESAP Research Centre. He has participated in various Mathematics Olympiads, earning certificates for his outstanding performance. 🎓🏆📜

 

Publication Top Notes

  • Covid-19 impact analysis: assessing African sectors-commodity, service, manufacturing, and education using mixed model approach – Cited by 1, 2023 🦠📊
  • African Institute for Mathematical Sciences (AIMS), Rwanda – Cited by 1, 2023 🇷🇼
  • Stock price prediction using combined GARCH-AI models – Cited by 0, 2024 📈🤖
  • Enhancing Obesity Detection Through SMOTE-based Classification Models: A comparative Study – Cited by 0, 2024 🏋️‍♂️🔍
  • Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process – Cited by 0, 2024 🌧️📉
  • Capital Asset Pricing Model: A Renewed Application on S&P 500 Index – Cited by 0, 2024 💹📈
  • Spatial Regression Modeling of Child Survival on the Distribution of Births and Deaths in Kenya Based on the Kenya Demographic and Health Survey (KDHS) 2022 – Cited by 0, 2024 👶🌍
  • Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance – Cited by 0, 2024 ⚙️📉
  • Modeling the Impact of Air Pollution and Meteorological Variables on COVID‐19 Transmission in Western Cape, South Africa – Cited by 0, 2024 🌫️🦠

 

Dharmapuri Siri | Deep Learning Award | Best Researcher Award

Posted on by ScienceFather

Dr. Dharmapuri Siri | Deep Learning Award | Best Researcher Award

Dr. Dharmapuri Siri, Gokaraju Rangaraju Institute of Engineering and Technology, India

Based on Dr. Dharmapuri Siri’s resume, here is a conclusion on his suitability for the Research for Best Researcher Award:

Publication profile

Scopus

Career Experience

Dr. Dharmapuri Siri has extensive teaching experience spanning over 11 years across various institutions, including TRR Engineering College, TRR College of Engineering, and Malla Reddy Engineering College for Women. His role as an Assistant Professor in Computer Science and Engineering highlights a solid foundation in academic and practical knowledge.

Educational Background

Dr. Siri’s educational qualifications are robust, with a Ph.D. in Computer Science and Engineering from JJT University, an M.Tech from JNTU Hyderabad, and a B.Tech from JNTU Hyderabad. His academic background demonstrates a strong commitment to his field and a continual pursuit of advanced knowledge.

Research 

Dr. Siri has made significant contributions to research, particularly in the areas of software quality, machine learning, and image analysis. His journal publications and conference presentations reflect a broad range of research interests, from bug prediction models to sentiment analysis and cancer diagnosis. Notable papers include his work in IEEE Access and various webE3S conferences.

Workshops and Training

He has actively participated in multiple workshops and refresher courses, focusing on cloud computing, innovative teaching methods, and problem-solving techniques. This engagement in continuous professional development underscores his dedication to staying current in his field.

Patent and Projects

Dr. Siri holds a patent for a “Vehicle with Smart Biometric Device,” showcasing his ability to apply theoretical knowledge to practical solutions. His Ph.D. thesis on “Bug Prediction Model For Software Quality Using Machine Learning Techniques” further emphasizes his research focus and expertise.

Conclusion

Dr. Dharmapuri Siri is a strong candidate for the Research for Best Researcher Award due to his comprehensive academic background, extensive teaching experience, substantial research contributions, and practical innovations. His work in improving software quality through machine learning and his active involvement in professional development make him a suitable candidate for this accolade.

 

Publications Top Notes

Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis

Automated System for Bird Species Identification Using CNN