Chaocheng He | AI for collaboration | Best Researcher Award

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Assoc. Prof. Dr. Chaocheng He | AI for collaboration | Best Researcher Award

Deputy Director at Wuhan University, China

Dr. Chaocheng He is an accomplished scholar in the field of data science and management, currently serving as an Associate Professor at the School of Information Management, Wuhan University, China. His research focuses on network representation learning, computational social sciences, and the science of science. He has a strong academic and professional background, with numerous awards, funded research projects, and publications in high-impact journals.

Publication ProfileΒ 

Scopus

Educational Background πŸŽ“

  • Ph.D. in Data Science (2018.09 – 2022.02)
    School of Data Science, City University of Hong Kong, China
  • Ph.D. in Management Science & Engineering (2016.09 – 2021.06)
    School of Information Management, Wuhan University, China
  • B.A. in Information Management & Information Systems (2012.09 – 2016.06)
    Sun Yat-sen University, China

Professional Experience πŸ’Ό

  • Associate Professor (2024.01 – Present)
    School of Information Management, Wuhan University, China
  • Assistant Professor (2021.09 – 2024.01)
    School of Information Management, Wuhan University, China
  • Research Assistant (2019.06 – 2020.06)
    School of Data Science, City University of Hong Kong, China

Research Interests πŸ”¬

  • Network Representation Learning
  • Computational Social Sciences
  • Science of Science

Awards and HonorsπŸ†βœ¨

  • Excellent Doctoral Dissertation of Wuhan University (2021)
  • First-Class Scholarship for Academic Innovation (WHU, 2021)
  • Second-Class Scholarship for Academic Innovation (WHU, 2020)
  • National Scholarship (Postgraduate) (2019)
  • Outstanding Graduates of WHU (2021)
  • Merit Student of WHU (2019)
  • National Scholarship (Bachelor) (2015)

Conclusion🌟

Dr. Chaocheng He is a distinguished researcher who has made significant contributions to the fields of network science, research collaboration, and computational social sciences. His academic journey is marked by dual Ph.D. achievements, a robust publication record, and numerous research projects funded by prestigious organizations like the National Science Foundation of China and the China Postdoctoral Science Foundation. His ongoing dedication to excellence is reflected in his influential studies and leadership roles in academia.

Publications πŸ“š

πŸ“„ Article
Simulation Research on Diffusion of Pharmaceutical Science and Technology Innovation Leadership Network Based on Multidimensional Proximity
Chaocheng, H., Qian, H., Yushu, X., Jiang, W.
Journal of Modern Information, 2025, 45(1), pp. 60–80
🌟 Citations: 0

πŸ“„ Article
The influence of online host–guest interaction on listing popularity in peer-to-peer accommodation: the role of listing price and reputation
Liu, F., Lai, K.-H., He, C.
Information Technology and People, 2024, 37(6), pp. 2302–2323
🌟 Citations: 3

πŸ“„ Article
Incorporating resource responsibility into production and logistics management: An empirical investigation
Liu, F., He, C., Lai, K.-H.
Transportation Research Part E: Logistics and Transportation Review, 2024, 187, 103593
🌟 Citations: 1

πŸ“„ Article
The Model of Knowledge Transformation in Human-Intelligence Interaction Contexts: Enriching Connotations and Extending Dimensions | δΊΊζ™ΊδΊ€δΊ’ζƒ…ε’ƒδΈ‹ηš„ηŸ₯θ―†θ½¬εŒ–ζ¨‘εž‹: ε†…ζΆ΅ζ·±εŒ–εŠε€–ε»Άζ‹“ε±•
Yuan, Y., Tao, C., He, C., Wu, J.
Information Studies: Theory and Application, 2024, 47(6)
🌟 Citations: 1

πŸ“„ Article
Market reaction to responsible production practices adoption: The role of firm size and financial slack
Liu, F., He, C., Lai, K.-H.
International Journal of Production Economics, 2024, 272, 109244
🌟 Citations: 1

πŸ“„ Article
Involution-Cooperation-Lying Flat Game on a Network-Structured Population in the Group Competition
Chaocheng, H., Qian, H., Xinru, L., Yuchi, W., Jiang, W.
IEEE Transactions on Computational Social Systems, 2024, 11(2), pp. 2160–2178
🌟 Citations: 4

🎀 Conference Paper
Call the shots or follow suit? Research on the Evolution of Artificial Intelligence Scientific Collaboration Networks from a Leadership-Participation Perspective
He, C., Du, J., Zhang, J.
Proceedings of the International Conference on Electronic Business (ICEB), 2024, 24, pp. 65–75
🌟 Citations: 0

🎀 Conference Paper
Enhancing Pneumonia Diagnosis Using an Ensemble Transformer-Based Attention Network for Chest X-Ray Image Analysis
Song, Y., Ren, H., Jing, F., Xie, Y., Zhou, J.
2024 2nd International Conference on Big Data and Privacy Computing (BDPC), 2024, pp. 154–159
🌟 Citations: 0

πŸ“„ Article (In Press)
Introducing yourself to strangers: does conversational self-presentation matter in peer-to-peer accommodation
Liu, F., He, C., Lai, K.-H.
Internet Research, 2024
🌟 Citations: 0

🎀 Conference Paper
Analysis of the Impact of Researchers’ Knowledge Diversity on Research Productivity from a Knowledge Meta-Perspective
Li, X., He, C.
Communications in Computer and Information Science, 2024, 2102 CCIS, pp. 197–211
🌟 Citations: 0

 

 

 

Sushil Kumar | Machine Learning | Best Researcher Award

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Dr. Sushil Kumar | Machine Learning | Best Researcher Award

Assistant Professor at Central University of Haryana, India

Dr. Sushil Kumar is an Assistant Professor in the Department of Computer Science and Engineering at the Central University of Haryana, having joined on December 2, 2022. With a rich experience of 19 years in teaching, he specializes in Information Retrieval, Machine Learning, and Distributed Computing. Dr. Kumar holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering. He has published 7 papers in international journals and 1 book chapter, and has guided 16 Master’s students in their research. He has actively participated in 25 seminars and conferences, and organized 5 academic events. In addition, he has been recognized with the Youth Red Cross Award from the Honorable Governor of Haryana for 2016-17 and 2019-20. Currently, he also serves as the NBA Co-ordinator and NAAC Co-ordinator at the university.

Publication Profile :Β 

Google Scholar

Education πŸŽ“

Dr. Sushil Kumar holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering, equipping him with a solid foundation in the field of technology and research.

Professional ExperienceπŸ’Ό

Assistant Professor at Central University of Haryana since 02-12-2022
With 19 years of teaching experience, Dr. Sushil Kumar has been dedicated to nurturing young minds in the area of computer science. His expertise in Information Retrieval, Machine Learning, and Distributed Computing has shaped his teaching methodology. While his focus remains on academia, he has not been involved in industry work yet. He has also taken up additional responsibilities as NBA Co-ordinator and NAAC Co-ordinator, ensuring quality assurance and accreditation standards in the department.

Research Interests πŸ”¬

πŸ” Information Retrieval
πŸ€– Machine Learning
🌐 Distributed Computing

Dr. Sushil Kumar’s research interests are focused on the areas of Information Retrieval, where he aims to improve search and data retrieval systems, Machine Learning, and the development of efficient algorithms for Distributed Computing systems.

Publications Top Notes πŸ“š

  1. Kumar, S., Aggarwal, M., Khullar, V., Goyal, N., Singh, A., & Tolba, A. (2023). Pre-Trained Deep Neural Network-Based Features Selection Supported Machine Learning for Rice Leaf Disease Classification. Agriculture, 13(5), 23.
  2. Kumar, S., & Bhatia, K. K. (2020). Semantic similarity and text summarization-based novelty detection. SN Applied Sciences, 2(3), 332.
  3. Kumar, S., & Chauhan, N. (2012). A context model for focused web search. International Journal of Computer Technology, 2(3).
  4. Gupta, C., Khullar, V., Goyal, N., Saini, K., Baniwal, R., Kumar, S., & Rastogi, R. (2023). Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram. Diagnostics, 14(1), 43.
  5. Kumar, S., & Bhatia, K. K. (2019). Clustering-based approach for novelty detection in text documents. Asian Journal of Computer Science and Technology, 8(2), 116-121.
  6. Dasari, K., Srikanth, V., Veramallu, B., Kumar, S. S., & Srinivasulu, K. (2014). A novelty approach of symmetric encryption algorithm. Proceedings of the International Conference on Information Communication and Embedded Systems (ICICES).
  7. Kumar, S., & Anand, S. (2006). Implementing Shared Data Services (SDS): A Proposed Approach. 2006 IEEE International Conference on Services Computing (SCC’06), 365-372.
  8. Singh, S., Kundra, H., Kundra, S., Pratima, P. V., Devi, M. V. A., Kumar, S., & Hassan, M. (2024). Optimal trained ensemble of classification model for satellite image classification. Multimedia Tools and Applications, 1-22.
  9. Kumar, S., & Bhatia, K. K. (2018). Document-to-Sentence Level Technique for Novelty Detection. In Speech and Language Processing for Human-Machine Communications: Proceedings (pp. xx-xx).
  10. Chawla, M., Panda, S. N., Khullar, V., Kumar, S., & Bhattacharjee, S. B. (2024). A lightweight and privacy-preserved federated learning ecosystem for analyzing verbal communication emotions in identical and non-identical databases. Measurement: Sensors, 34, 101268.
  11. Kumar, S. S. (2023). System Oriented Social Scrutinizer: Centered Upon Mutual Profile Erudition. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 2007–2017.
  12. Kumar, S. (2021). Design of novelty detection techniques for optimized search engine results. JC Bose University.
  13. Ishuka, S. K., & Bhatia, K. K. (2019). A Novel Approach for Novelty Detection Using Extractive Text Summarization. Journal of Emerging Technologies and Innovative Research, 6(6), 141-154.
  14. Pooja, K. K. B., & Kumar, S. (2019). Hashing and Clustering Based Novelty Detection. SSRG International Journal of Computer Science and Engineering, 6(6), 1-9.
  15. Kumar, S., & Bhatia, K. K. (2019). Clustering Based Approach for Novelty Detection in Text Documents. Asian Journal of Computer Science and Technology, 8(2), 121-126.