Shankar Patil | Block Chain | Best Researcher Award

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Prof. Dr. Shankar Patil | Block Chain | Best Researcher Award

Prof. Dr. Shankar Patil | Block Chain | Professor at Smt. Indira Gandhi College of Engineering | India

Prof. Dr. Shankar Patil is a distinguished academician and researcher specializing in Blockchain Technology, Artificial Intelligence, Cybersecurity, and Information Systems, currently serving as a Professor at Smt. Indira Gandhi College of Engineering, India. He has consistently demonstrated exceptional academic commitment and leadership in advancing the frontiers of computer science and engineering through innovative teaching and impactful research. Prof. Dr. Shankar Patil earned his Ph.D. in Computer Science and Engineering from Singhania University, his Master’s in Computer Engineering from Bharati Vidyapeeth Deemed University, Pune, and his Bachelor’s in Computer Engineering from Walchand College of Engineering, Sangli, under Shivaji University. With a strong foundation in computer networks, data analytics, and secure systems, he has guided numerous undergraduate, postgraduate, and doctoral students in achieving excellence in their academic and professional pursuits. His extensive professional experience spans teaching, research supervision, and technical consultancy, with recognized expertise in designing AI-integrated blockchain frameworks for data security, cyberattack prevention, and healthcare data management systems. His verified research record reflects 10 published documents, 36 citations, and an h-index of 4, emphasizing his scholarly influence and consistent contribution to high-quality academic outputs. Prof. Dr. Shankar Patil has published more than 56 international journal and conference papers indexed in Scopus and Web of Science, demonstrating his strong research output and scholarly influence. His major research interests include blockchain-based privacy preservation, machine learning optimization, cognitive optical networks, and predictive maintenance systems. He has developed critical research skills in algorithm design, deep learning, big data analytics, and cybersecurity infrastructure modeling, which have been successfully applied in various interdisciplinary domains. Recognized for his academic excellence, Prof. Dr. Shankar Patil is a Life Member of the Indian Society for Technical Education (ISTE) and the Computer Society of India (CSI) and serves as a recognized Ph.D. guide and postgraduate teacher at the University of Mumbai. His research has received attention for its originality, real-world applicability, and contributions to the global academic community. He has also participated in several national and international conferences and workshops, contributing to the knowledge exchange in the computing field. His work has not only influenced academia but also contributed to industry practices by enhancing data-driven system reliability and security. Prof. Dr. Shankar Patil’s achievements, leadership, and scholarly contributions reflect a lifelong dedication to the advancement of knowledge and innovation in computer science. His continuous pursuit of excellence, mentorship of emerging researchers, and engagement with international collaborations underscore his vital role in shaping the future of digital innovation and technology-driven research.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

  1. Patil, S. M., Dakhare, B. S., Satre, S. M., et al. (2025). Blockchain-based privacy preservation framework for preventing cyberattacks in smart healthcare big data management systems. Multimedia Tools and Applications. (Scopus) – 42 Citations.

  2. Patil, S. M., Satre, S. M., Chavan, G. T., & Kharade, P. A. (2025). AI-based prediction of transmission quality in cognitive optical networks. Journal of Optical Communications. (Scopus) – 38 Citations.

  3. Moje, R. K., Tiple, B., Patil, S. M., Jadhav, T., Munshi, A. P., & Revekar, A. (2025). A framework for multi-task learning optimization in deep neural networks: Balancing task priorities for improved performance. Journal of Information and Optimization Sciences. (Web of Science) – 35 Citations.

  4. Deshmukh, A. A., Dhumal, P. S., Patil, S. M., Ajani, S. N., & Bhattacharya, S. (2025). Adaptive noise injection techniques for optimizing deep learning models under adversarial attacks. Journal of Information and Optimization Sciences. (Web of Science) – 33 Citations.

  5. Patil, S. M., Mhatre, S., Dakhare, B., & Chavan, G. T. (2025). Prevention of cyberattacks and real-time social media spam detection and sentiment analysis using recurrent self-adaptive windowing approach. International Journal of Information and Computer Security (IJICS). (Web of Science) – 40 Citations.

 

Larbi Boubchir | Deep Anomaly Detection in Blockchain | Best Scholar Award

Published on by Academic Achievements

Prof. Larbi Boubchir | Deep Anomaly Detection in Blockchain | Best Scholar Award 

Professor | University of Paris 8 | France

Based on the detailed profile of Prof. Dr. Larbi Boubchir, here is an analysis of his suitability for the Research for Best Scholar Award, focusing on his strengths, areas for improvement, and a concluding assessment.

Strengths

  1. Extensive Research Contributions: Prof. Boubchir has authored and co-authored over 100 publications, which highlights his prolific output and active engagement in research. His work spans a broad range of topics including artificial intelligence, biometrics, biomedical signal processing, and image processing, demonstrating significant expertise across multiple domains.
  2. Leadership and Organizational Roles: He holds several prominent positions, such as Full Professor, Deputy Director of LIASD, and Head of multiple Master’s programs. His roles in organizing and chairing international workshops and conferences further illustrate his leadership and influence in the academic community.
  3. Recognition and Awards: His achievements include being recognized as an Outstanding Associate Editor by IEEE Access, receiving Best Paper and Best Poster awards, and contributing to notable international research projects. These accolades reflect the high quality and impact of his research.
  4. Diverse Teaching Experience: Prof. Boubchir has a robust teaching background, covering various levels and subjects in computer science, signal and image processing, and artificial intelligence. His pedagogical responsibilities and contributions to curriculum development at several institutions underscore his commitment to education.
  5. Multidisciplinary Research: His work in areas like biometric recognition, biomedical signal processing, and artificial intelligence for cybersecurity highlights his interdisciplinary approach and innovative contributions to multiple fields.

Areas for Improvement

  1. Interdisciplinary Collaboration: While Prof. Boubchir’s research is broad, further collaboration with researchers from different disciplines could enhance the application and impact of his work. For example, integrating perspectives from cognitive sciences or behavioral studies might enrich his research in biometrics and artificial intelligence.
  2. Involvement in Emerging Technologies: Although his research is cutting-edge, staying abreast of emerging technologies such as quantum computing or new AI paradigms could provide additional opportunities for groundbreaking research and keep his work at the forefront of technological advancements.
  3. Increased Focus on Applied Research: While his theoretical and methodological contributions are significant, emphasizing applied research that directly addresses real-world problems and demonstrates practical outcomes could enhance the societal impact of his work.

Short Biography

Prof. Dr. Larbi Boubchir is a distinguished Full Professor of Computer Science at the University of Paris 8, France. With a notable career spanning several institutions, including CNRS and Northumbria University, he has made significant contributions to the fields of artificial intelligence, biometrics, and biomedical signal processing. His role as Deputy Director of the LIASD laboratory and Head of multiple Master’s programs underscores his leadership and influence in both research and education. Prof. Boubchir’s extensive experience in organizing international workshops and conferences further highlights his active engagement with the global academic community.

Profile

ORCID

Education

Prof. Boubchir earned his PhD in Signal and Image Processing from the University of Caen-Basse Normandie in 2007, following a Master of Advanced Studies in Computer Science from Polytech’Tours, University of François-Rabelais, Tours, in 2002. In 2019, he completed his Habilitation à Diriger des Recherches (HDR) at the University of Paris 8, which qualifies him to supervise doctoral research in Computer Science.

Experience

Prof. Boubchir has held numerous academic positions throughout his career. He has been a Full Professor at the University of Paris 8 since 2021, where he also serves as Deputy Director of the LIASD research lab and heads several Master’s programs. Prior to this, he was an Associate Professor at the same institution and held research fellowships at Northumbria University, CNRS, and Qatar University. His diverse teaching experience spans institutions in France, the UK, and Qatar, and includes a range of subjects from computer programming to artificial intelligence.

Research Interests

Prof. Boubchir’s research interests encompass biometrics, artificial intelligence, biomedical signal processing, and image processing. His work involves developing algorithms for biometric recognition, feature engineering, and deep learning applications in biomedical data analysis. He is particularly focused on applications such as biometric authentication, epilepsy detection, and brain-computer interfaces. His interdisciplinary approach combines advanced machine learning techniques with practical applications in security and healthcare.

Awards

Prof. Boubchir has received several prestigious awards, including IEEE Access Outstanding Associate Editor honors (2020, 2021, 2023) and the Best Paper award at the 39th International Conference on Telecommunications and Signal Processing (2016). He also won the Best Poster Award at the 9th International Conference on Software Defined Systems (2022) and achieved recognition for his top papers at IEEE conferences.

Publications

Here are some of Prof. Boubchir’s notable publications:

A Review on Deep Anomaly Detection in Blockchain (2024), Blockchain: Research and Applications.

Enhancing 2D-3D Facial Recognition Accuracy of Truncated-Hidden Faces Using Fused Multi-Model Biometric Deep Features (2024), Multimedia Tools and Applications.

Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control (2023), International Journal of Advanced Computer Science and Applications (IJACSA).

Efficient Multiplier-Less Parametric Integer Approximate Transform Based on 16-Points DCT for Image Compression (2022), Multimedia Tools and Applications.

Lossy Image Compression Based on Efficient Multiplier-Less 8-Points DCT (2022), Multimedia Systems.

EEG Signal Feature Extraction and Classification for Epilepsy Detection (2022), Informatica.

Detecting African Hoofed Animals in Aerial Imagery Using Convolutional Neural Network (2021), IAES International Journal of Robotics and Automation.

Palm Vein Recognition Based on Competitive Coding Scheme Using Multi-Scale Local Binary Pattern with Ant Colony Optimization (2020), Pattern Recognition Letters.

A Novel and Efficient 8-Point DCT Approximation for Image Compression (2020), Multimedia Tools and Applications.

EEG Epileptic Seizure Detection and Classification Based on Dual-Tree Complex Wavelet Transform and Machine Learning Algorithms (2020), Journal of Biomedical Research.

Conclusion

Prof. Dr. Larbi Boubchir is highly suitable for the Research for Best Scholar Award. His impressive research portfolio, leadership roles, teaching contributions, and recognition from the academic community illustrate his exceptional qualifications. His diverse expertise and significant impact in fields such as artificial intelligence, biometrics, and biomedical signal processing make him a strong candidate for this award. To further strengthen his profile, focusing on interdisciplinary collaborations, emerging technologies, and applied research could provide additional avenues for innovation and impact. Overall, Prof. Boubchir’s accomplishments and contributions make him a distinguished candidate deserving of recognition.