Prasad Mutkule | Machine Learning | Best Researcher Award

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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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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.

Jiaming Zhong – Artificial intelligence – Best Researcher Award

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Jiaming Zhong - Artificial intelligence - Best Researcher Award

Wuyi university - China

AUTHOR PROFILE

SCOPUS

📚 SCIENTIFIC RESEARCH ACHIEVEMENTS

Jiaming Zhong has made significant contributions to the fields of video classification and tactile sensing. His groundbreaking papers include "Exploring Cross-video Matching for Few-shot Video Classification via Dual-Hierarchy Graph Neural Network Learning," published in Image and Vision Computing, and "Text-guided Graph Temporal Modeling for Few-Shot Video Classification," featured in Engineering Applications of Artificial Intelligence. These studies, published in top-tier journals, highlight Zhong's innovative approaches in utilizing graph neural networks and multimodal models for advanced video analysis and classification.

🛠️ PATENTS AND TECHNOLOGICAL INNOVATIONS

Zhong holds several patents that showcase his expertise in developing practical solutions for various technological challenges. His patents include methods for video anomaly classification, chip defect detection, and mobile robot obstacle avoidance. These patents reflect his commitment to translating theoretical research into tangible technological advancements that address real-world problems.

🔬 PROJECT EXPERIENCE: PEEL RECOGNITION

In a project focused on the precise identification of Chenpi years using a multimodal model, Zhong's work involved designing lightweight modules and fine-tuning models to achieve high recognition accuracy. His use of the CLIP multimodal model for feature extraction led to a remarkable 99% accuracy in recognizing Chenpi years with limited sample data. This project, detailed on GitHub, demonstrates his proficiency in applying advanced machine learning techniques to practical problems.

🎥 PROJECT EXPERIENCE: FEW-SHOT VIDEO CLASSIFICATION

Zhong's research in video behavior classification involved addressing challenges related to data scarcity and model capabilities. Collaborating with Macau University of Science and Technology and Wuyi University, he developed a dual-hierarchy graph neural network that significantly improved classification performance through cross-video frame matching. This innovative approach was published in Image and Vision Computing and showcased Zhong's ability to enhance model performance through sophisticated temporal modeling.

🔍 PROJECT EXPERIENCE: MULTIMODAL REPRESENTATION LEARNING

In a project focused on multimodal video behavior analysis, Zhong led efforts to develop a novel framework for self-supervised learning using multimodal data. This project, supported by a 500,000 RMB research grant, involved developing a text-guided feature optimization module and a query text token learning mechanism. His research aimed to leverage multimodal knowledge to improve the classification performance of few-shot video behaviors, with results published in top journals.

📈 IMPACTFUL RESEARCH AND PUBLICATIONS

Zhong's work has significantly impacted the fields of video classification and sensor technology. His papers in renowned journals and his patents contribute to advancing the understanding and application of these technologies. His research not only addresses current challenges but also paves the way for future innovations in these areas.

🏆 ACKNOWLEDGEMENTS AND RECOGNITION

Zhong's contributions to scientific research and technology have earned him recognition within the academic and professional communities. His innovative work in video classification and sensor technology continues to influence the field and inspire further research and development.

NOTABLE PUBLICATION

Ultra-sensitive and stable All-Fiber iontronic tactile sensors under high pressure for human movement monitoring and rehabilitation assessment
Authors: K. Ma, D. Su, B. Qin, Y. Xin, X. He
Year: 2024
Journal: Chemical Engineering Journal

Real-time citrus variety detection in orchards based on complex scenarios of improved YOLOv7
Authors: F. Deng, J. Chen, L. Fu, J. Li, N. Li
Year: 2024
Journal: Frontiers in Plant Science

Exploring cross-video matching for few-shot video classification via dual-hierarchy graph neural network learning
Authors: F. Deng, J. Zhong, N. Li, D. Wang, T.L. Lam
Year: 2023
Journal: Image and Vision Computing

Senbagavalli – Artificial Intelligence – Best Researcher Award

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Senbagavalli - Artificial Intelligence - Best Researcher Award

Alliance University - India

AUTHOR PROFILE

SCOPUS

EXPERT IN OPINION MINING AND FEATURE SELECTION

Senbagavalli's groundbreaking research in opinion mining of health data for cardiovascular disease diagnosis using an unsupervised feature selection algorithm spans five years. Her Ph.D. work is a testament to her dedication to leveraging data for medical advancements.

FACIAL RECOGNITION INNOVATOR

With a master's degree in engineering, Senbagavalli developed a face recognition system using Laplacian faces, showcasing her expertise in computer vision and pattern recognition. This project exemplified her ability to apply complex algorithms to practical applications within six months.

PIONEER IN UNICODE FILE SYSTEMS

During her undergraduate studies, Senbagavalli created a file system using the Unicode character set, a project completed in just six months. Her work in this area highlights her proficiency in software development and system design.

CREATOR OF GRAPHIC GAMING SYSTEMS

In her mini-project as an undergraduate, she developed a gaming system using graphics within three months. This early project laid the foundation for her interest in interactive and visual computing systems.

SEASONED ACADEMIC AND PROFESSOR

With 18 years and 7 months of teaching experience, Senbagavalli has held positions at prestigious institutions, including Alliance University and Kuppam Engineering College. Her extensive experience has made her a respected figure in the academic community.

VERSATILE SUBJECT EXPERT

Senbagavalli has taught a wide range of subjects to undergraduate, postgraduate, and Ph.D. students, including Data Modeling and Optimization, Object-Oriented Programming, and Software Engineering. Her comprehensive knowledge spans multiple domains of computer science.

ACTIVE RESEARCHER AND REVIEWER

An active member of various academic councils and editorial boards, Senbagavalli reviews for renowned publishers like Bentham Science and Elsevier. Her involvement in curriculum development, project evaluation, and seminar organization reflects her commitment to academic excellence and continuous learning.

NOTABLE PUBLICATION

Identification of Biomarker for Autism Spectrum Disorder Using EEG: A Review.
Authors: K. Lalli, M. Senbagavalli
Year: 2023
Conference: Proceedings - 2023 International Conference on Advanced Computing and Communication Technologies, ICACCTech 2023, pp. 45–50

Facemask Detection System Using CNN Model.
Authors: M. Senbagavalli, S. Debnath, R. Rajagopal, K. Ghildial
Year: 2023
Conference: International Conference on Recent Advances in Science and Engineering Technology, ICRASET 2023

An Evaluation of Machine Learning Techniques for Detecting Banking Frauds.
Authors: R. Rajagopal, M. Senbagavalli, S. Debnath, K. Darshan, K.S. Varun Tejas
Year: 2023
Conference: International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings, pp. 359–365

Deep Learning Model for Flood Estimate and Relief Management System Using Hybrid Algorithm.
Authors: M. Senbagavalli, V. Sathiyamoorthi, S.K. Manju Bargavi, S. Shekarappa G., T. Jesudas
Year: 2023
Book: Artificial Intelligence and Machine Learning in Smart City Planning, pp. 29–44

An Effective Model for Predicting Agricultural Crop Yield on Remote Sensing Hyper-Spectral Images Using Adaptive Logistic Regression Classifier.
Authors: V. Sathiyamoorthi, P. Harshavardhanan, H. Azath, A.M. Viswa Bharathy, B.S. Chokkalingam
Year: 2022
Journal: Concurrency and Computation: Practice and Experience, 34(25), e7242

Ali Haider Khan – AI – Best Researcher Award

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Ali Haider Khan - AI - Best Researcher Award

Ziauddin University - Pakistan

AUTHOR PROFILE

SCOPUS

EXPERIENCE

Ali Haider Khan is a seasoned biomedical engineer with extensive experience across various hospitals and enterprises in Pakistan. His tenure at Bahawal Victoria Hospital involved working with clinical laboratory equipment, ensuring their optimal functionality. At Al-Qadir Enterprises, his role in Radiology, Ultrasound, and Operating Theaters showcased his commitment to enhancing patient care. His earlier internships at Doctor’s Hospital and Ziauddin Hospital provided him with a solid foundation in biomedical engineering, covering aspects from service and safety to supply chain management.

UNIVERSITY PROJECTS

Ali's academic projects demonstrate his innovative spirit and technical expertise. His pioneering work on the real-time recognition of Pakistani Sign Language through a web application highlights his proficiency in using CNN and LSTM models. Additionally, his research on the trans-vascular transport efficiency of nanoparticles in tumor microenvironments via Computational Fluid Dynamics (CFD) shows his adeptness in using Ansys software. His project on anxiety detection and massage-based control through pulse oximetry exemplifies his ability to combine technology and healthcare for therapeutic solutions.

SKILLS & INTERESTS

Ali is well-versed in frontend development, Python, Microsoft Azure, and various other technical tools like Visual Studio and Jupyter Notebook. His creative skills extend to Photoshop and Canva, and he is an effective communicator. Outside of his professional interests, Ali enjoys playing cricket and table tennis and has a keen interest in researching economic issues.

ACHIEVEMENTS

Ali's accomplishments are a testament to his dedication and continuous learning. He completed a crash course on Python by Google and participated in the 7th All Pakistan DUHS-DICE Health Innovation Exhibition. His proficiency in the German language was honed at the Goethe Institute, Karachi. He also attended the IEEE Asia Pacific Comsoc Summer School on Autonomous Systems and completed courses on web development and artificial intelligence from prestigious institutions like the University of Michigan and Accenture.

MEMBERSHIPS

Ali is an active member of several esteemed organizations, including the Harvard Business School Club of Pakistan, the Institute of Electrical and Electronics Engineers (IEEE), and the Society for Peace and Harmony. These memberships reflect his commitment to professional development and community engagement.

PUBLICATIONS

Ali has contributed significantly to the field of biomedical engineering and computer science through his publications. His work on the recognition and classification of the Urdu sign language dataset was published in PeerJ Computer Science. He also co-authored papers on deep learning approaches to Pakistani Sign Language recognition and the simulation of transvascular transport of nanoparticles in tumor microenvironments, published in top journals like Scientific Reports and Engineering Applications of Artificial Intelligence.

FUTURE DIRECTIONS

Looking ahead, Ali aims to further his research in biomedical engineering, focusing on innovative solutions that bridge technology and healthcare. His future projects will continue to explore advanced applications of artificial intelligence and computational methods to improve patient care and medical outcomes.

NOTABLE PUBLICATION

Simulation of Transvascular Transport of Nanoparticles in Tumor Microenvironments for Drug Delivery Applications

Authors: Shabbir, F., Mujeeb, A.A., Jawed, S.F., Khan, A.H., Shakeel, C.S.
Year: 2024
Journal: Scientific Reports
Volume: 14

A Neural-Network Based Web Application on Real-Time Recognition of Pakistani Sign Language

Authors: Mujeeb, A.A., Khan, A.H., Khalid, S., Mirza, M.S., Khan, S.J.
Year: 2024
Journal: Engineering Applications of Artificial Intelligence

A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset

Authors: Zahid, H., Rashid, M., Syed, S.A., Mujeeb, A.A., Khan, A.H.
Year: 2022
Journal: PeerJ Computer Science