Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

Posted on by Academic achievements

Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

Mr. Akhilesh Kumar, Banaras Hindu University, India

Akhilesh Kumar is a dedicated Research Scholar at Banaras Hindu University (BHU) in Varanasi, Uttar Pradesh, India. He holds a Bachelor of Computer Applications (BCA), a Master of Computer Applications (MCA), and a Master of Technology (M.Tech) in Computer Science and Engineering. Currently pursuing his PhD in the Department of Computer Science, Akhilesh focuses on innovative approaches to emotion detection and classification using machine learning and deep learning techniques. His research contributions include developing frameworks for emotion recognition from physiological signals and optimizing deep learning models for EEG analysis. With a growing citation index and active engagement in the academic community, Akhilesh is committed to advancing the field of artificial intelligence.

Professional Profile:

Google Scholar

Suitability Summary for Best Researcher Award: Akhilesh Kumar:

Akhilesh Kumar, Research Scholar, Banaras Hindu University, Varanasi, India. Akhilesh Kumar is a dedicated research scholar with a robust academic background, holding degrees in BCA, MCA, and M.Tech in Computer Science. Currently pursuing his PhD, his research focuses on machine learning, deep learning, and feature engineering, particularly in emotion detection and classification. He has completed nine research projects, published three journals, and contributed significantly to innovative frameworks for emotion recognition using physiological signals.

Education:

  • Bachelor of Computer Applications (BCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Computer Applications (MCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Technology (M.Tech) in Computer Science and Engineering
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • PhD in Computer Science
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Current Status: Ongoing

Work Experience:

  • Research Scholar
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Duration: [Start Date] – Present
    • Responsibilities: Conducting research in machine learning, deep learning, and feature engineering, focusing on emotion detection and classification.

Publication top Notes:

Analysis of machine learning algorithms for facial expression recognition

Cited: 9

Nutrient composition, phytochemical profile and antioxidant properties of Morus nigra: A Review

Cited:7

Human sentiment analysis on social media through naïve bayes classifier

Cited:4

Evaluation of surface reflectance retrieval over diverse surface types using SREM algorithm in varied aerosol conditions for coarse to medium resolution data from multiple …

Cited:3

Machine learning approaches for cardiac disease prediction

Cited:2

Chang He | Composite structures | Best Researcher Award

Posted on by Academic achievements

Mr. Chang He | Composite structures | Best Researcher Award 

PHD student at Tongji University, China

Chang He is a dedicated Ph.D. student in Civil Engineering at Tongji University, Shanghai, where he has distinguished himself through exemplary academic performance and significant contributions to research. With a strong foundation in Civil and Hydraulic Engineering, he has garnered recognition for his innovative approach to integrating smart materials with traditional construction techniques. His commitment to advancing the field of civil engineering is evident in his participation in various high-impact research projects and his proactive engagement in scholarly activities.

Profile

ORCID

Education

Chang He began his academic journey at Shenyang Jianzhu University, where he earned his Bachelor’s degree in Civil Engineering with a commendable GPA of 87.6/100. He was recognized for his academic excellence through several awards, including the Merit Student Award and multiple scholarships. Pursuing further education, he obtained his Master’s degree in Civil and Hydraulic Engineering from Tongji University, achieving a GPA of 84.5/100. Currently, he is advancing his studies as a Ph.D. student in Civil Engineering, where he maintains an impressive GPA of 89.5/100, demonstrating his commitment to academic rigor and research excellence.

Experience

Chang He’s research experience is extensive and multifaceted. He has actively participated in several prominent research projects, including the NSFC Project focused on the integration of spherical piezoelectric smart materials with concrete, and the development of disaster acquisition robot equipment under the National Key R&D Program of China. His involvement in these projects has allowed him to gain hands-on experience in cutting-edge research methodologies and technologies, particularly in the context of structural health monitoring and disaster management. Additionally, he has contributed to the academic community as a reviewer for notable journals, further enhancing his understanding of current research trends and standards.

Research Interest

Chang He’s research interests lie at the intersection of civil engineering and advanced technology. His primary focus includes the application of machine learning and artificial intelligence to analyze and optimize the performance of construction materials and structures. He is particularly interested in exploring how innovative materials, such as fiber-reinforced polymers, can be integrated into traditional concrete structures to enhance their durability and resilience. By leveraging deep learning techniques, Chang aims to develop predictive models that can inform engineering practices and improve the safety and efficiency of civil engineering projects.

Awards

Throughout his academic career, Chang He has received several awards and honors that reflect his dedication to excellence in education and research. Notably, he was awarded the Social Work Scholarship twice, highlighting his commitment to community engagement and social responsibility. Additionally, he received the Second Prize Scholarship twice during his master’s studies, as well as the Third Prize Scholarship and the Merit Student Award during his undergraduate years. These accolades serve as a testament to his hard work, perseverance, and contributions to the academic community.

Publications

Chang He has authored and co-authored several research publications in esteemed journals, demonstrating his commitment to advancing knowledge in his field. His notable works include:

Deep Learning-Based Analysis of Interface Performance between Brittle Engineering Materials and Composites (Expert Systems with Applications, 2024).

Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete (Structures, 2023).

Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface (Structures, 2022).

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment (Measurement, 2023).

Application of Bayesian optimization approach for modelling bond-slip behavior of FRP-to-concrete interface (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

An acoustic-homologous deep learning method for FRP concrete interfacial damage evaluation (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

Conclusion

In conclusion, Chang He embodies the qualities of an exceptional researcher in civil engineering, combining academic excellence with impactful research contributions. His extensive experience, innovative research interests, and notable achievements position him as a strong candidate for the Best Researcher Award. By continuing to push the boundaries of knowledge in his field, Chang He is poised to make significant contributions to civil engineering and society as a whole. His commitment to excellence and passion for research make him a deserving nominee for this prestigious award.