Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

Profile 

Google scholar 

🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

Profile 

Scopus 

🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

Assoc Prof Dr. Puneeta Ajmera | Decision-making and Problem-solving | Best Researcher Award

Assoc Prof Dr. Puneeta Ajmera | Decision-making and Problem-solving | Best Researcher Award

Delhi Pharmaceutical Sciences & Research University, Govt. of NCT of Delhi, India 

Profile 

Google Scholar

Early Academic Pursuits 📚

Dr. Prajith A. embarked on his academic journey with a Bachelor’s degree in Geology from Kannur University, Kerala, India, which laid the foundation for his deep-seated interest in marine sciences. Building on this solid base, he pursued a Master’s degree in Geology from the same university. His exceptional academic performance earned him a prestigious Junior Research Fellowship from CSIR-UGC, leading him to a Ph.D. in Marine Science at CSIR-National Institute of Oceanography, Goa University. During his doctoral studies, Dr. Prajith developed a strong research focus on sedimentology, paleoceanography, and paleoclimate, which would shape his future contributions to earth sciences.

Professional Endeavors 🌍

Dr. Prajith A.’s career is marked by a commitment to exploring and understanding the complex processes of marine and polar environments. He began his professional journey as a Junior Research Fellow at CSIR-National Institute of Oceanography, Goa, where he honed his skills in marine geology and oceanography. This was followed by his role as a Project Fellow at Mangalore University, where he further deepened his expertise in marine geology.

In 2013, Dr. Prajith joined CSIR-National Institute of Oceanography as a Senior Research Fellow, working on various projects related to marine sedimentology and paleoceanography. His notable contributions during this period led to his appointment as a Project Scientist at the National Centre for Polar and Ocean Research, Goa, where he continued to build his reputation as a leading marine scientist.

Since 2021, Dr. Prajith has served as a Scientist B and later Scientist C at the National Centre for Earth Science Studies in Thiruvananthapuram. His role involves leading scientific cruises and fieldwork, contributing to significant research projects like the study of the exclusive economic zone of India and hydrothermal exploration in the Indian Ocean Ridge.

Contributions and Research Focus 🔬

Dr. Prajith A.’s research is distinguished by its focus on sedimentology, paleoceanography, paleoclimate, and the exploration of hydrothermal sulphide minerals. His work has significantly advanced the understanding of sediment sources, diagenesis, and geochemistry in various marine environments. Notable research includes his studies on the influences of monsoon variations on terrigenous influx and bioproductivity in the Bay of Bengal, and his geochemical investigations of core sediments which provide insights into weathering and early diagenetic changes.

His shipborne experience, including leading and participating in multiple scientific cruises, underscores his practical expertise and leadership in marine research. Dr. Prajith has been involved in 11 scientific cruises, with leadership roles in several, including geological sampling and hydrothermal exploration missions.

Accolades and Recognition 🏆

Dr. Prajith A.’s exceptional contributions to earth sciences have been recognized through various awards and accolades. He received the CSIR-UGC Junior Research Fellowship in Earth, Atmospheric, Ocean, and Planetary Sciences in December 2010 and the CSIR-UGC National Eligibility Test (NET) lectureship in December 2008. His achievements reflect his dedication and excellence in his field.

Impact and Influence 🌟

Dr. Prajith’s research has had a profound impact on the understanding of marine sedimentology and paleoceanography. His studies have provided valuable insights into the geochemical and isotopic processes governing volcanic activities, rare earth element sources, and sediment weathering. His work has influenced scientific perspectives on environmental magnetism and hydrothermal systems, contributing to the broader field of marine and earth sciences.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Prajith A. is poised to continue making significant contributions to the field of marine science. His ongoing research endeavors and leadership in scientific expeditions are expected to yield further advancements in understanding marine sediment processes and paleoceanographic changes. Dr. Prajith’s legacy will likely be defined by his pioneering work in exploring and analyzing complex marine environments, influencing future research directions and methodologies in earth sciences. His commitment to excellence and exploration will inspire future generations of scientists in the quest to unravel the mysteries of our planet’s oceans and sediments.

Publications 

Modelling the barriers of Health 4.0–the fourth healthcare industrial revolution in India by TISM

    • Authors: Puneeta Ajmera, Vineet Jain
    • Journal: Operations Management Research
    • Year: 2019

Modelling the enablers of industry 4.0 in the Indian manufacturing industry

    • Authors: Vineet Jain, Puneeta Ajmera
    • Journal: International Journal of Productivity and Performance Management
    • Year: 2021

Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method

    • Author: Puneeta Ajmera
    • Journal: International Journal of Health Care Quality Assurance
    • Year: 2017

Modelling the factors affecting Indian medical tourism sector using interpretive structural modeling

    • Authors: Vineet Jain, Puneeta Ajmera
    • Journal: Benchmarking: An International Journal
    • Year: 2018

A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry

    • Authors: Puneeta Ajmera, Vineet Jain
    • Journal: International Journal of Lean Six Sigma
    • Year: 2020