Prasad Mutkule | Machine Learning | Best Researcher Award

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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Orcid

Scopus

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.

Hajer Nabli | Computer science | Best Researcher Award

Dr. Hajer Nabli | Computer science | Best Researcher Award

Hajer Nabli, University of Sousse, Tunisia

Hajer Nabli is a distinguished Professor at the Ministry of Education in Tunisia, specializing in Computer Science and Information Systems. She holds extensive academic credentials, including a Doctorate from the Faculty of Economics and Management of Sfax (FSEGS) and a Master’s Degree in Computer Networks from ISITCom. With a passion for technology and education, she has been an educator and researcher since 2006, contributing to advanced computing and cloud services. She is a member of the MIRACL Laboratory and actively engages in guiding research students in fields such as blockchain, IoT, and AI for applications in healthcare and industry. She has received awards of excellence and is recognized for her contributions to semantic technologies and service-oriented computing.

Profile

Scopus

Strengths for the Award

  1. Academic Excellence:
    • Hajer Nabli holds a Doctorate in Computer Science (2021), with high distinction (“Très Honorable”) from the prestigious Faculté des Sciences Economiques et de Gestion de Sfax (FSEGS). She also earned a Mastère de Recherche in Réseaux Informatiques (2015) with distinction, which speaks to her strong foundation in both theoretical and applied aspects of her field.
    • Her academic performance has been exemplary, with awards of excellence for her research and achievements at ISITCom, which further solidifies her qualifications.
  2. Research Expertise:
    • Her doctoral research on semantic-based approaches for hybrid recommendation systems in cloud services is highly relevant to current trends in computer science, focusing on cutting-edge technologies like cloud computing, semantic web, and AI-driven recommendations.
    • She has authored and co-authored numerous publications in high-impact journals such as Cluster Computing, Service Oriented Computing and Applications, and Journal of Systems and Software, as well as conference papers in top-tier events. Some of her key topics include cloud services description and discovery, semantic similarity measures, and context-aware systems for aging in place smart homes.
    • Her work on blockchain-based supply chain management and intelligent tracking systems is also groundbreaking, with a focus on security and traceability, which could have substantial implications for various industries.
  3. Leadership and Mentorship:
    • Hajer has not only contributed to the academic community through her research but has also demonstrated strong leadership as a co-supervisor for graduate and doctoral students at ISITCom. Her active involvement in mentoring and guiding research students in areas such as blockchain, IoT, and AI for pharmaceutical supply chains and elderly care systems further underscores her commitment to advancing the field.
    • The fact that her students have successfully defended their theses speaks to her ability to foster research excellence in others.
  4. International Collaboration:
    • Hajer has collaborated with notable experts from various institutions, including EFREI Paris, Université de Sfax, and ENET’Com. Her active participation in international research forums and conferences shows her ability to contribute to the global scientific community and stay updated with international trends in her areas of expertise.
  5. Innovative Solutions to Real-World Problems:
    • Her work on smart home systems for elderly care and cloud services personalization indicates her focus on practical, impactful solutions. These contributions align with ongoing efforts to make technology more inclusive, especially for vulnerable populations like the elderly.

Areas for Improvement

  1. Broader Research Dissemination:
    • While Hajer’s research has been well-published, expanding the visibility of her work through collaborations with industry and patents for real-world applications could further elevate her reputation as an influential researcher.
    • Increased participation in high-impact conferences in areas like cloud computing and AI could lead to greater recognition.
  2. Interdisciplinary Integration:
    • Although her work is impressive within the realm of computer science, exploring more interdisciplinary research (e.g., combining healthcare, technology, and social sciences) could open new avenues for impactful solutions.
    • Greater integration of AI and machine learning in her work on cloud services and IoT could add depth and novelty to her research, positioning her as a leader in the convergence of these fields.
  3. Grants and Research Funding:
    • Securing more international research grants could further accelerate her research, enabling her to explore larger-scale projects or multi-institution collaborations. Her existing expertise positions her well to attract such funding.

Education

Hajer Nabli completed her Doctorate in Computer Science at FSEGS (2021), where she was awarded Très Honorable for her research on hybrid recommendation systems for personalized cloud services. She earned a Master’s Degree in Computer Networks from ISITCom (2015), graduating with Assez Bien. Her academic journey also includes a Maîtrise in Informatics from ISIMM (2006), and a Diplôme d’Études Universitaires in Math-Informatics from ISIMM (2004). Hajer completed her Baccalauréat in Mathematics from Lycée Secondaire Téboulba (2002). Her academic achievements reflect her deep understanding and expertise in computer science and related technologies.

Experience

Hajer Nabli has over 18 years of experience in higher education as a Professor Principal at the Ministry of Education in Tunisia. Her career began in 2006, and she has since become a prominent educator in the fields of computer networks, cloud computing, and semantic technologies. In addition to her teaching roles, she is an active researcher in the MIRACL Laboratory, collaborating with various international institutions. Hajer has supervised numerous graduate and doctoral students in areas like AI, IoT, and blockchain applications for healthcare and pharmaceutical industries. Her leadership in research and mentorship has earned her several excellence awards, and she continues to contribute significantly to innovative computing solutions.

Research Focus

Hajer Nabli’s research interests span semantic-based approaches, cloud service recommendations, AI, blockchain, and context-aware computing. Her doctoral research focused on hybrid recommendation systems for personalized cloud services, with an emphasis on semantic descriptions and service discovery. She is also exploring IoT and blockchain for pharmaceutical supply chains and elderly care systems in smart homes. Other key research areas include web service composition, AI-based activity recognition, and cloud service personalization. Through her work, she seeks to optimize the integration of emerging technologies in real-world applications that address societal challenges, including healthcare, security, and personalized services.

Publication Top Notes

  1. Improved clustering-based hybrid recommendation system to offer personalized cloud services (2024) 📘
  2. Fuzzy FCA-based Elderly Activity Recognition (2023) 🧑‍🦳🔍
  3. Description, discovery, and recommendation of Cloud services: a survey (2022) ☁️🔎
  4. Cloud services description ontology used for service selection (2022) ☁️📝
  5. Never Alone: a Quality of Context-aware Monitoring System for Aging in Place Smart Home (2022) 🏠💡
  6. Enhanced semantic similarity measure based on two-level retrieval model (2019) 📊
  7. Linked USDL extension for cloud services description (2019) ☁️🔗
  8. Efficient cloud service discovery approach based on LDA topic modeling (2018) 🧠🔍
  9. SADICO: Self-adaptive approach to the web service composition (2018) 🔄🌐

Conclusion

Based on her academic credentials, research contributions, mentorship, and international collaboration, Hajer Nabli is certainly a strong contender for a Best Researcher Award. Her work, particularly in cloud computing, semantic technologies, and AI-based systems, is highly relevant to current technological advancements and addresses real-world challenges. Her strengths lie in her technical expertise, the relevance of her research, and her ability to apply theoretical concepts to practical, impactful solutions. Additionally, her dedication to mentoring the next generation of researchers enhances her profile as a leader in her field. With continued efforts to broaden the dissemination of her research and increase cross-disciplinary and industry collaborations, Hajer Nabli can further solidify her standing as one of the top researchers in her domain. In conclusion, she would be a deserving recipient of the Best Researcher Award, with the potential for even greater impact in the future.