Dr. Thulasi Bikku |Decision-making and Problem-solving |Women Researcher Award

Dr. Thulasi Bikku |Decision-making and Problem-solving |Women Researcher Award

Amrita Vishwa Vidyapeetham, Amaravati, India

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🎓 Early Academic Pursuits

Dr. Thulasi Bikku’s academic journey is a testament to perseverance and intellectual rigor. From a young age, his curiosity and dedication to learning paved the way for an illustrious career in academia. He pursued his higher education with an unwavering focus on engineering and technology, excelling in his undergraduate and postgraduate studies. His doctoral research further cemented his expertise, enabling him to delve into complex engineering problems with innovative solutions. His scholarly pursuits laid the foundation for a distinguished career that would shape future generations of engineers and researchers.

💼 Professional Endeavors

With a passion for education and research, Dr. Thulasi Bikku embarked on his professional journey as a faculty member, eventually rising to the esteemed position of Professor. His tenure in academia has been marked by his commitment to delivering quality education, mentoring students, and fostering an environment of intellectual growth. His teaching methodologies are known for their interactive approach, blending theoretical knowledge with practical applications. Beyond the classroom, he has actively participated in curriculum development, ensuring that engineering education remains relevant and aligned with industry advancements.

💡 Contributions and Research Focus

Dr. Thulasi Bikku’s research endeavors span a broad spectrum of engineering disciplines, contributing significantly to advancements in the field. His work has focused on cutting-edge areas such as sustainable engineering, advanced manufacturing techniques, and computational modeling. He has published numerous research papers in high-impact journals, showcasing his analytical acumen and innovative thinking. His collaborations with industry partners and academic peers have led to the development of groundbreaking solutions that address contemporary engineering challenges. Through his research, he has not only expanded the body of knowledge but also provided practical insights that benefit both academia and industry.

🏆 Accolades and Recognition

A scholar of high repute, Dr. Thulasi Bikku has received multiple awards and honors for his contributions to engineering education and research. His work has been recognized by prestigious academic institutions and professional organizations, earning him accolades for excellence in teaching, research, and mentorship. His presence at international conferences as a keynote speaker and panelist highlights his stature as a thought leader in his domain. These recognitions reflect his unwavering commitment to academic excellence and his impact on the global engineering community.

🌟 Impact and Influence

Dr. Thulasi Bikku’s influence extends beyond his immediate academic environment. As a mentor, he has guided numerous students and researchers, helping them navigate their academic and professional journeys. His ability to inspire and motivate young minds has led to the success of many aspiring engineers who now contribute significantly to the industry. His research collaborations have fostered interdisciplinary advancements, bridging gaps between theoretical research and practical applications. His engagement with the academic community, through workshops, seminars, and scholarly discussions, continues to shape the future of engineering education and research.

💪 Legacy and Future Contributions

Looking ahead, Dr. Thulasi Bikku remains dedicated to pushing the boundaries of engineering research and education. His future aspirations include expanding his research initiatives, fostering international collaborations, and developing innovative educational programs that integrate emerging technologies. He aims to leave a lasting legacy by nurturing the next generation of engineers and researchers, equipping them with the skills and knowledge to tackle global challenges. His vision for the future is one of continuous learning, innovation, and meaningful contributions to society.

Dr. Thulasi Bikku’s journey is a remarkable blend of academic brilliance, professional dedication, and research innovation. His contributions to engineering education and research will continue to inspire and shape the future of the discipline for years to come.

📝Notable Publications

Multi-layered deep learning perceptron approach for health risk prediction

Author: T Bikku
Journal: Journal of Big Data
Year: 2020

A contemporary feature selection and classification framework for imbalanced biomedical datasets

Authors: ARA Thulasi Bikku, Sambasiva Rao Nandam
Journal: Egyptian Informatics Journal
Year: 2018

Deep learning approaches for classifying data: a review

Authors: T Bikku, KS Sree
Journal: Journal of Engineering Science and Technology
Year: 2020

Hadoop based feature selection and decision making models on big data

Authors: T Bikku, NS Rao, AR Akepogu
Journal: Indian Journal of Science and Technology
Year: 2016

An Interpretable Approach with Explainable AI for Heart Stroke Prediction

Authors: PN Srinivasu, U Sirisha, K Sandeep, SP Praveen, LP Maguluri, T Bikku
Journal: Diagnostics
Year: 2024

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

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🌟 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

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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 

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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