Assoc. Prof. Dr. Yuan. Zhi | Decision-making and Problem-solving | Best Researcher Award

Published on by Leadership and Management

Assoc. Prof. Dr. Yuan. Zhi | Decision-making and Problem-solving | Best Researcher Award

Wuhan University of Technology | China

Zhi Yuan is a dedicated researcher specializing in intelligent shipping, traffic safety, and data-driven modeling, with strong contributions to maritime transportation analytics and vessel behavior prediction. He holds a bachelor’s degree in Electronic Information Science and Technology, a master’s degree in Software Engineering, and is completing a PhD in Traffic Information Engineering and Control at the School of Navigation, Wuhan University of Technology, including a joint PhD program at Liverpool John Moores University. His research experience spans numerous national and provincial projects on ship energy consumption prediction, vessel traffic flow modeling, multimodal data fusion, and intelligent navigation technologies. He has actively participated in major international conferences such as ISOPE, ICITE, IFSPA, CBD, and WTC, presenting work on AIS-based trajectory reconstruction, fuel consumption modeling, and spatio-temporal data analysis. His publications appear in leading journals including Environmental Modelling & Software, Ocean Engineering, Regional Studies in Marine Science, and IEEE Access. He has also contributed to several patents related to maritime safety and navigation systems. Recognized with multiple scholarships and academic awards, he continues to advance innovative solutions for maritime intelligence and sustainable navigation, aiming to enhance safety, efficiency, and environmental performance in complex waterways.

Profile:  Google Scholar

Featured Publications

1. Yuan, Z., Liu, J., Liu, Y., Zhang, Q., & Liu, R. W. (2020). A multi-task analysis and modelling paradigm using LSTM for multi-source monitoring data of inland vessels. Ocean Engineering, 213, 107604.

2. Yuan, Z., Liu, J., Liu, Y., & Li, Z. (2019). A novel approach for vessel trajectory reconstruction using AIS data. In Proceedings of the ISOPE International Ocean and Polar Engineering Conference (Paper No. ISOPE-I-19-364).

3. Li, Z., Zhang, T., Yuan, Z., Wu, Z., & Du, Z. (2018). Spatio-temporal pattern analysis and prediction for urban crime. In Proceedings of the Sixth International Conference on Advanced Cloud and Big Data (CBD).

4. Wang, X., Liu, J., Liu, Z., & Yuan, Z. (2020). Measurement and evaluation of marine intelligent transportation PNT data based on BDS and DGNSS. IOP Conference Series: Materials Science and Engineering, 719(1), 012069.

Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

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Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Amrita University, India

Dr. J. Uma is an accomplished academic and researcher in the fields of information technology, cloud computing, artificial intelligence, and cybersecurity. She holds a B.Tech in Information Technology, an M.E. in Computer Science and Engineering with distinction, and has submitted her Ph.D. thesis in Information and Communication Engineering at Anna University. With more than twelve years of academic experience, she has served as Assistant Professor in leading engineering institutions, contributing significantly to teaching, curriculum development, and research mentorship. Her research focuses on cloud resource allocation, deep reinforcement learning, intelligent optimization algorithms, blockchain technologies, IoT-based systems, and data security. She has published impactful journal articles in reputed outlets like Transactions on Emerging Telecommunications Technologies and Springer’s Lecture Notes in Networks and Systems, along with several book chapters and conference papers. Her work includes innovations in heuristic optimization, adversarial defenses in deep learning, and smart healthcare IoMT solutions. She is also a published patent holder in IoT-based agriculture monitoring systems and employee training platforms. Dr. Uma has organized major AICTE- and RGNIYD-funded programs, contributing to national-level capacity building in data science, IoT, and smart city technologies. Her career reflects a strong commitment to advancing research, innovation, and academic excellence.

Profiles:  ORCID

Featured Publications

Prof. Burcu Hudaverdi | Risk Management | Best Researcher Award

Published on by Leadership and Management

Prof. Burcu Hudaverdi | Risk Management | Best Researcher Award

Dokuz Eylul University | Turkey

Profile: Scopus

Featured Publications

  • Vine Bayes classifier based on truncated copula with application to gene expression data
  • Copula-based conditional reliability with application to rocket motor data

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Published on by Leadership and Management

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Profiles: Google Scholar | Scopus

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.