Mr Prasad Mutkule | Machine Learning | Best Researcher Award

Assistant Professor, Sanjivani College of Engineering, Kopargaon, India

Prasad Mutkule is an accomplished academic and researcher serving as an Assistant Professor at Sanjivani College of Engineering, Kopargaon. He holds expertise in Machine Learning, Data Science, and Artificial Intelligence, contributing significantly to academia and industry. His work spans developing advanced algorithms for healthcare and agriculture, with a strong emphasis on practical applications. Prasad is known for his dedication to research and education, mentoring students and fostering innovation.

PROFILE

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STRENGTHS FOR THE AWARD

1. ACADEMIC BACKGROUND:
   • Advanced academic qualifications, including a pursuing Ph.D. in Computer Engineering, focusing on cutting-edge research.
   • High academic performance in Master’s and Bachelor’s programs, showcasing a strong foundation in computer engineering.
2. RESEARCH CONTRIBUTIONS:
   • A significant number of publications in reputed journals and conferences.
   • Research topics include brain tumor segmentation, agriculture disease detection, predictive analytics in healthcare, and integration of AI/ML for societal applications like cybersecurity and smart farming.
   • Contributions are well-cited, with notable impact in the field of computational intelligence and applied machine learning.
3. PROFESSIONAL EXPERIENCE:
   • Diverse professional background encompassing academia and industry, with over 6 years in teaching and 1 year in Android development.
   • Current role as an Assistant Professor at a reputed autonomous institution emphasizes leadership in research and teaching.
4. MULTIDISCIPLINARY IMPACT:
   • Research spans critical areas such as healthcare, agriculture, and traffic prediction, reflecting versatility.
   • Innovative projects like IoT-based interactive clothing and AI-based health monitoring systems underscore practical applications of research.
5. TEAM COLLABORATION:
   • Collaboration with various researchers and authors in multiple publications, indicating strong teamwork and networking abilities.

AREAS FOR IMPROVEMENT

1. ONGOING RESEARCH FOCUS:
   • Completing the Ph.D. will further solidify expertise and enhance research credentials.
   • Exploring patent filings or practical implementations of research outcomes could amplify real-world impact.
2. INCREASED GLOBAL PRESENCE:
   • Expanding participation in international conferences or collaborations could increase visibility on a global scale.
3. FOCUSED SPECIALIZATION:
   • While multidisciplinary research is a strength, deeper specialization in one or two niches can establish leadership in specific domains.
4. FUNDING AND GRANTS:
   • Securing funded projects or grants for research would demonstrate recognition and support for work.

EDUCATION

• Ph.D. (Computer Engineering) – Pursuing at Vishwakarma Institute of Information Technology, Pune, affiliated with Savitribai Phule Pune University (2023–ongoing).
• M.E. (Computer Engineering) – Completed at Sanjivani College of Engineering, Kopargaon, Savitribai Phule Pune University, with a CGPA of 8.25 (2016–2018).
• B.E. (Computer Engineering) – Graduated from Sanjivani College of Engineering, Kopargaon, under Savitribai Phule Pune University, achieving 68.46% (2012–2016).

EXPERIENCE

• Assistant Professor, Sanjivani College of Engineering (2021–present).
• Assistant Professor, Shri Chatrapati Shivaji Maharaj College of Engineering, Ahmednagar (2021).
• Assistant Professor, Adsul’s Technical Campus, Ahmednagar (2019–2021).
• Lecturer, S.P.I.T. Polytechnic, Ahmednagar (2017–2019).
• Android Developer, Advitiya IoT Solutions, Pune (2016–2017).

AWARDS AND HONORS

• Recognized for impactful research contributions in Machine Learning and Artificial Intelligence.
• Awarded for excellence in teaching and academic service.
• Published influential papers in top-tier journals.
• Honored as a mentor for guiding student innovations in computing and IoT.
• Esteemed presenter at international conferences.

RESEARCH FOCUS

Prasad Mutkule focuses on developing intelligent systems using Machine Learning and Data Science. His areas of interest include healthcare diagnostics, agricultural optimization, and IoT applications. He aims to bridge the gap between academia and industry through innovative solutions in Artificial Intelligence and its transformative applications.

PUBLICATION TOP

📘 Development of machine learning and medical-enabled multimodal for brain tumor classification.
📗 Manipulation of flowering time to mitigate high temperature stress in rice.
📘 Identification of disease based on symptoms using ML.
📗 Efficient supervised learning algorithm for kidney stone prediction.
📘 One-stop solution for farmer-consumer interaction.
📗 Interactive clothing based on IoT with QR codes.
📘 A survey on interactive IoT-based clothing applications.
📗 ML algorithms for agricultural leaf disease detection.
📘 Predictive analytics for early brain tumor prevention using XAI.
📗 Applicability of AI in healthcare, banking, and education.

CONCLUSION

Prasad Mutkule has a strong academic and professional portfolio that demonstrates his expertise in machine learning, artificial intelligence, and their applications in healthcare and beyond. His research contributions are impactful, multidisciplinary, and address real-world challenges. With continued focus on specialization and global engagement, he is an excellent candidate for the Best Researcher Award.