Dr. Gangadevi R | Decision-making and Problem-solving | Best Researcher Award

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Dr. Gangadevi R | Decision-making and Problem-solving | Best Researcher Award

SRM Institute of science and technology, India

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Early Academic Pursuits: A Foundation of Excellence 📚✨

Dr. R. Gangadevi’s academic journey is a testament to her unwavering dedication and passion for engineering. Her early education was rooted in the State Board of Tamil Nadu, where she completed her S.S.L.C. and H.Sc. from Government Higher Secondary School in Kandachipuram. Even at this stage, she exhibited a keen interest in science and mathematics, excelling in her studies and laying a strong foundation for her future endeavors.

Her higher education pursuits led her to Easwari Engineering College, Ramapuram, where she earned her B.Tech in Electrical and Electronics Engineering from Madras University in 2004, securing an impressive 76% and a First Class distinction. This phase of her education fueled her curiosity for technological advancements, inspiring her to delve deeper into specialized fields.

Driven by her aspirations, she pursued her Master’s in Mechatronics (M.E.) at the prestigious Madras Institute of Technology, Chromepet, under Anna University, Tamil Nadu. Completing her degree in 2007 with an 8.1 CGPA and a First Class distinction, she honed her expertise in mechatronics, an interdisciplinary domain that merges mechanical engineering, electronics, and computing.

Her thirst for knowledge and passion for research ultimately led her to achieve the highest academic milestone—a Ph.D. in Mechatronics from SRM Institute of Science and Technology, Kattankulathur, in 2019. This was a defining moment in her career, as it not only validated her technical expertise but also opened doors to innovative research contributions in engineering.Professional Endeavors: Advancing Engineering and Innovation 🏗️🔧

Dr. Gangadevi’s professional career is marked by a commitment to excellence and continuous growth. As an educator and researcher, she has dedicated herself to nurturing young minds while making significant contributions to the field of engineering. Her association with SRM Institute of Science and Technology has been instrumental in shaping the next generation of engineers, providing them with not just theoretical knowledge but also practical insights into modern technological challenges.

Her role as a faculty member at SRMIST allows her to blend teaching with research, ensuring that her students receive a well-rounded education. Her expertise in mechatronics, coupled with her vast experience, enables her to mentor aspiring engineers and researchers, guiding them toward innovation and problem-solving.

Beyond teaching, Dr. Gangadevi has been actively involved in various academic collaborations, industry interactions, and research projects. Her work bridges the gap between theoretical engineering concepts and real-world applications, making her an invaluable contributor to both academia and industry.

Contributions and Research Focus: Pioneering Mechatronics and Engineering Innovations 🔍🔬

Dr. Gangadevi’s research focus lies in the realm of Mechatronics, an interdisciplinary field that integrates mechanical, electrical, and computer engineering. Her extensive research work has been recognized in various scientific communities, leading to numerous citations and a commendable H-index of 9 and i10-index of 9. Her Google Scholar profile showcases a robust citation count of 460, demonstrating the impact of her work on the global research community.

Her contributions to Scopus-indexed publications further reinforce her influence in the field. With a Scopus ID (55241666400) and an established research presence, she continues to explore cutting-edge innovations in engineering, particularly in automation, robotics, and intelligent systems. Her work not only advances academic understanding but also offers practical solutions to real-world engineering problems.

Accolades and Recognition: Celebrating Academic and Research Excellence 🏆🎖️

Dr. Gangadevi’s dedication to research and academia has not gone unnoticed. Her achievements have been acknowledged through various awards, fellowships, and recognition from academic institutions and professional bodies. As an esteemed scholar, her contributions to engineering and mechatronics have earned her a respected position in the academic fraternity.

Her ability to publish impactful research papers, mentor students, and contribute to technological advancements places her among the leading academicians in her field. The citations and indexes of her research work further testify to the depth and relevance of her scholarly contributions.

Impact and Influence: Shaping Future Engineers and Researchers 🌍👩‍🏫

Beyond her personal achievements, Dr. Gangadevi’s greatest impact lies in her role as a mentor and guide to students and young researchers. Her teachings extend beyond the classroom, inspiring students to engage in research, think critically, and apply their knowledge to practical challenges.

By fostering a learning environment that encourages curiosity and innovation, she has played a significant role in shaping the careers of many aspiring engineers. Her research collaborations and academic initiatives have helped bridge gaps between theoretical knowledge and industry requirements, preparing students for the dynamic world of engineering.

Her influence also extends to academic conferences, workshops, and seminars, where she shares her insights and findings, contributing to the broader discourse on engineering and technological advancements.

Legacy and Future Contributions: Inspiring the Next Generation 🚀🔭

As a dedicated academician and researcher, Dr. Gangadevi continues to push the boundaries of engineering knowledge. Her future endeavors are likely to focus on furthering her research in intelligent automation, robotics, and mechatronic systems, contributing to advancements that will shape the future of technology.

Her commitment to education, research, and innovation ensures that her legacy will endure through the many students she has mentored and the contributions she has made to engineering. As she continues her journey in academia, her work will undoubtedly inspire future generations to pursue excellence in engineering and research.

With her vast experience, technical expertise, and passion for knowledge, Dr. R. Gangadevi remains a beacon of inspiration, demonstrating how dedication and perseverance can lead to remarkable achievements in academia and beyond. 🎓💡

📝Notable Publications

Nanofluid applications in future automobiles: comprehensive review of existing data

Author(s): S Senthilraja, M Karthikeyan, R Gangadevi
Journal: Nano-Micro Letters
Year: 2010

A comparative study on thermal conductivity of Al₂O₃/water, CuO/water and Al₂O₃–CuO/water nanofluids

Author(s): S Senthilraja, K Vijayakumar, R Gangadevi
Journal: Digest Journal of Nanomaterials and Biostructures
Year: 2015

 Performance evaluation of water and air based PVT solar collector for hydrogen production application

Author(s): S Senthilraja, R Gangadevi, R Marimuthu, M Baskaran
Journal: International Journal of Hydrogen Energy
Year: 2020

Experimental determination of thermal conductivity and viscosity of different nanofluids and its effect on a hybrid solar collector

Author(s): R Gangadevi, BK Vinayagam
Journal: Journal of Thermal Analysis and Calorimetry
Year: 2019

 Effects of sonication time and temperature on thermal conductivity of CuO/water and Al₂O₃/water nanofluids with and without surfactant

Author(s): R Gangadevi, BK Vinayagam, S Senthilraja
Journal: Materials Today: Proceedings
Year: 2018

 

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

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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

Dr. Jinzhao Tian | Decision-making and Problem-solving | Excellence in Innovation| 3517 |

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Dr. Jinzhao Tian | Decision-making and Problem-solving | Excellence in Innovation|

Beijing Jiaotong University, China

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Scopus

Early Academic Pursuits 🎓

Jinzhao Tian embarked on his academic journey with a strong foundation in business administration at Henan Agricultural University, where he earned his Bachelor’s degree in 2018. His undergraduate years were marked by a keen interest in management principles, strategic planning, and organizational efficiency. Recognizing the significance of project management in modern industries, he pursued a Master’s degree at The University of Manchester, a globally recognized institution known for its research excellence. During this phase, he honed his expertise in project execution, risk mitigation, and managerial strategies, laying the groundwork for his future research pursuits. His Master’s program, completed in early 2020, provided him with critical analytical skills and a robust understanding of project-based work environments.

Professional Endeavors and Research Focus 📚

Currently a Ph.D. student in Engineering and Project Management at Beijing Jiaotong University, Jinzhao Tian’s research delves into the intersection of project management and environmental sustainability. His studies focus on policy impacts, total factor productivity, and carbon emission trading within the construction industry. His work aims to contribute to sustainable development by analyzing the effectiveness of environmental policies on enterprise productivity. Through rigorous academic inquiry, he explores how organizations can align profitability with sustainability, ensuring compliance with environmental regulations while maintaining operational efficiency.

His published work, “The Policy Impact of Carbon Emission Trading on Building Enterprises’ Total Factor Productivity in China,” featured in the International Journal of Environmental Research and Public Health, underscores his dedication to impactful research. His ability to bridge environmental policies with industrial performance showcases his expertise in both management and sustainability disciplines.

Contributions and Impact 🏆

Jinzhao Tian’s contributions extend beyond academic research into practical applications that influence both industry professionals and policymakers. By evaluating carbon trading policies, his work provides insights that help construction firms optimize their resource utilization while adhering to environmental standards. His research has significant implications for the future of green building practices, energy efficiency, and regulatory compliance in China and beyond.

Moreover, his collaborations with esteemed researchers such as Yisheng Liu, Meng Yang, Zhuoqun Du, and Feiyu Cheng reflect his commitment to interdisciplinary studies. His ability to integrate economic theories with project management principles enables him to propose actionable solutions for industry-wide challenges. Through his scholarly articles and conference presentations, he actively contributes to the evolving discourse on sustainable project management.

Accolades and Recognition 🌟

Jinzhao Tian’s academic achievements have been recognized through various scholarly platforms. His publication in an SCI-indexed journal highlights the quality and impact of his research. Receiving a minor revision status on his published work signifies its relevance and contribution to the field. Additionally, his studies at prestigious institutions such as The University of Manchester and Beijing Jiaotong University attest to his academic excellence and dedication to research-driven solutions.

Future Contributions and Legacy 🌱

Looking ahead, Jinzhao Tian aims to expand his research on the synergy between engineering project management and environmental sustainability. He envisions a future where industries seamlessly integrate eco-friendly policies without compromising economic performance. His ongoing Ph.D. research is expected to provide new frameworks for evaluating the long-term impacts of carbon trading policies on global construction enterprises.

Beyond academia, he aspires to bridge the gap between theoretical research and practical implementation. By engaging with policymakers, corporate leaders, and academic institutions, he hopes to shape sustainable management practices that drive both economic growth and environmental responsibility. His passion for knowledge dissemination and policy advocacy ensures that his research will leave a lasting impact on the field of project management and environmental policy.

Through his unwavering commitment to academic excellence, innovative research, and practical applications, Jinzhao Tian is set to emerge as a thought leader in engineering project management, making meaningful contributions to a more sustainable and efficient future

📝Notable Publications

 

 

Dr. Inam Ullah Khan | Decision-making and Problem-solving |Excellence in Research

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Dr. Inam Ullah Khan | Decision-making and Problem-solving |Excellence in Research

Southern Methodist University, United States

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Early Academic Pursuits 🎓

Dr. Inam Ullah Khan’s journey in academia began with a strong foundation in Electrical and Computer Engineering, culminating in a Ph.D. in this field. His early academic endeavors were marked by a passion for machine learning, intelligent systems, and energy optimization. During his graduate studies, he gained deep insights into the integration of advanced computational techniques with practical, real-world challenges, especially in renewable energy systems. His early research focused on optimization algorithms for energy management, exploring the potential of AI and machine learning in transforming energy systems into smarter, more efficient entities.

This phase of Dr. Khan’s academic journey set the stage for his later career, as he developed a keen interest in how technology can enhance the efficiency of various sectors, including transportation, logistics, and aviation. His academic work was characterized by the use of innovative approaches such as data-driven analysis, statistical modeling, and predictive analytics. These techniques helped him make important contributions to the development of systems that use big data for optimization and forecasting, a theme that would continue to shape his career.

Professional Endeavors 🔬

Dr. Khan’s professional journey is a testament to his ability to merge cutting-edge research with real-world applications. After completing his Ph.D., he transitioned to the role of Assistant Professor at the Lyle School of Engineering, Southern Methodist University (SMU), where he continues to shape the next generation of engineers. His teaching and research are centered around machine learning, intelligent systems, and renewable energy, with a focus on integrating these disciplines to create solutions for complex engineering problems. Dr. Khan is not only responsible for the academic development of his students but is also deeply involved in mentoring graduate students, advising on research projects, and helping them develop their own academic paths.

His involvement in high-impact projects, including the Transportation Electrification Project and 6G Networks Optimization, underscores his commitment to addressing global challenges in sectors like energy, cybersecurity, and telecommunications. By integrating his technical expertise with industry partnerships, Dr. Khan has proven his ability to lead large-scale, interdisciplinary research initiatives that span diverse fields.

Contributions and Research Focus 🔍

Dr. Khan’s contributions to machine learning, energy optimization, and intelligent systems have been significant and transformative. His research focuses on harnessing the power of data analytics and AI to solve real-world problems. In the Transportation Electrification Project, for instance, he develops predictive models that analyze large datasets to optimize transportation and logistics networks. These efforts are critical in the push for more sustainable energy solutions in the transportation sector.

In addition, Dr. Khan has worked on 5G/6G systems, optimizing network efficiency and security. His research on the integration of multimodal data from IoT sensors, edge devices, and cloud systems has led to novel insights in improving the performance and quality of service (QoS) in modern communication networks.

Through his work, Dr. Khan aims to bridge the gap between AI and real-world applications, making complex systems more efficient and secure, while also addressing pressing global challenges like climate change and cybersecurity.

Accolades and Recognition 🏆

Throughout his career, Dr. Khan has earned multiple accolades for his contributions to research and teaching. He has authored numerous peer-reviewed articles in prestigious journals, earning recognition from both academia and industry. His work has been presented at high-profile international conferences, where it has garnered attention from global experts in machine learning, AI, and renewable energy.

Dr. Khan’s expertise has also led to several research grants and external funding for his projects, particularly those that intersect with energy optimization and transportation electrification. His ability to secure funding is a testament to his innovative approach and the real-world impact of his work. Furthermore, he is regularly invited to contribute to academic and industry committees, further enhancing his reputation as a thought leader in his field.

Impact and Influence 🌍

Dr. Khan’s work has had a lasting impact on the fields of machine learning, energy systems, and telecommunications. His research on data-driven optimization for renewable energy has contributed significantly to the development of more efficient and sustainable energy solutions. By integrating AI with real-time data, Dr. Khan has helped shape the future of intelligent systems that support the transition to green energy.

His collaborations with industry partners, including the Dallas Chamber of Commerce, have helped to apply research insights to marginalized communities, demonstrating the social relevance of his work. Through his mentorship and teaching, Dr. Khan has influenced a new generation of engineers and researchers, encouraging them to pursue innovative solutions to global challenges.

Legacy and Future Contributions 🔮

Dr. Khan’s legacy is already being shaped by his contributions to machine learning, renewable energy, and telecommunications. His work is helping to transform industries, making them more efficient, secure, and sustainable. Looking ahead, Dr. Khan plans to continue his research in AI-driven energy optimization and expand his focus on smart cities, transportation electrification, and sustainable development. He is committed to furthering the integration of AI in real-world applications, particularly in renewable energy systems and cybersecurity, ensuring that technology continues to benefit society at large.

Through his ongoing efforts in education, research, and community engagement, Dr. Khan is poised to leave an enduring mark on both academia and industry. His future work promises to continue pushing the boundaries of engineering innovation, tackling global challenges, and making the world a smarter, safer, and more sustainable place.

📝Notable Publications

Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources

Authors: IU Khan, N Javaid, KAA Gamage, CJ Taylor, S Baig, X Ma

Journal: IEEE Access

Year: 2020

A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma

Journal: IEEE Transactions on Smart Grid

Year: 2022

Robust Data Driven Analysis for Electricity Theft Attack-Resilient Power Grid

Authors: IU Khan, N Javaid, CJ Taylor, X Ma

Journal: IEEE Transactions on Power Systems

Year: 2023

Optimal power flow with uncertain renewable energy sources using flower pollination algorithm

Authors: M Abdullah, N Javaid, IU Khan, ZA Khan, A Chand, N Ahmad

Journal: Advanced Information Networking and Applications: Proceedings of the 33rd …

Year: 2020

Big Data Analytics based Short Term Load Forecasting Model for Residential Buildings in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma

Journal: IEEE INFOCOM 2020 – IEEE Conference on Computer Communications Workshops

Year: 2020

Prof Ivana Bajšanski | Decision-making and Problem-solving | Best Researcher Award

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Prof Ivana Bajšanski | Decision-making and Problem-solving | Best Researcher Award

University of Novi Sad, Faculty of Technical Sciences, Department of Architecture, Serbia

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Early Academic Pursuits 🎓

Ivana Bajšanski began her academic journey with a focus on architecture, pursuing both her bachelor’s and master’s degrees at the Faculty of Technical Sciences, University of Novi Sad. Her undergraduate and graduate years were marked by a strong interest in the impact of architecture on urban environments, with particular attention to sustainability and thermal comfort in city spaces. Her master’s thesis, titled “The Algorithm for Improving the Thermal Comfort in Urban Environment,” reflects her dedication to environmental issues within architectural design. This project laid the groundwork for her doctoral studies, where she continued to refine her research on enhancing thermal comfort in urban spaces, aiming to improve living conditions in densely populated areas through innovative architectural solutions.

Professional Endeavors 💼

Since February 2010, Bajšanski has served as an Associate Professor at the University of Novi Sad’s Faculty of Technical Sciences. In this role, she has been responsible for mentoring students, guiding them through the complexities of architectural design, and contributing to the academic growth of the department. Her teaching approach integrates practical design skills with a strong theoretical foundation in environmental analysis, preparing her students to become leaders in sustainable architecture. Bajšanski has been actively involved in faculty initiatives, bringing her expertise in environmental and procedural modeling to the classroom and fostering an atmosphere of innovation and forward-thinking.

Her career in academia has also included involvement in significant projects that address urban planning issues in Serbia and the broader European region. These projects highlight her commitment to bridging academia and practical urban development, emphasizing her belief that architectural solutions should address real-world challenges.

Contributions and Research Focus 🔍

Ivana Bajšanski’s research focuses primarily on sustainable urban development and the optimization of architectural design to improve urban thermal comfort. Her academic work combines advanced digital tools, including 3D modeling software like AutoCAD, Rhinoceros, and SketchUp, with environmental analysis platforms such as LadyBug and Honeybee. These tools allow her to conduct thorough environmental assessments and simulations that inform her design recommendations, especially in terms of sustainability and energy efficiency.

One of her notable projects, “Optimisation of Architectural Design and Urban Planning Process in Terms of Sustainable Development of Serbia,” funded by the Serbian Ministry of Education, Science, and Technological Development, examines sustainable architecture and urban planning principles. This project is dedicated to enhancing the ecological and energy efficiency aspects of architectural practices in Serbia, focusing on reducing urban heat and optimizing building designs for local climate conditions. Additionally, she has worked on “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences,” which further underscores her commitment to the nexus of design, research, and sustainable development.

In a collaborative effort under the Interreg–IPA Cross-border Cooperation Programme Hungary–Serbia, Bajšanski contributed to a project titled “Monitoring, Forecasting, and Development of Online Public Early Warning System for Extreme Precipitations and Pluvial Floods in Urban Areas in the Hungarian-Serbian Cross-border Region.” This project is significant because it addresses the increased risk of extreme weather events in the region, aiming to provide cities with tools to mitigate flood impacts. Her research approach blends architecture with environmental science, indicating her interdisciplinary outlook on problem-solving in urban spaces.

Accolades and Recognition 🏅

Ivana Bajšanski has been widely recognized for her contributions to architecture and urban planning, particularly in the field of sustainable development. Her expertise in environmental modeling, parametric design, and thermal comfort optimization has earned her a respected position in her academic community. Her contributions to projects funded by the Serbian Ministry of Education, Science, and Technological Development are a testament to her influence in national urban planning initiatives. Furthermore, her involvement in the ERASMUS+ Triplex Confinium project, which addresses educational gaps in architecture and urban planning along the borders of Romania, Hungary, and Serbia, highlights her dedication to enhancing academic collaboration across borders. This project allows her to work with international colleagues to bridge educational disparities, thereby fostering cross-cultural learning and cooperation in architecture.

Impact and Influence 🌍

Ivana Bajšanski’s work in sustainable urban planning has had a notable impact on both local and regional levels. Her research offers valuable insights into reducing urban heat islands, enhancing public safety during extreme weather events, and promoting sustainable building practices in Serbia and its neighboring countries. Her collaboration on the Interreg-IPA project has been particularly influential, as it not only contributes to scientific understanding but also provides practical solutions for city planning authorities dealing with climate-related challenges. By advocating for green architecture and sustainable urban design, Bajšanski has influenced the adoption of eco-friendly policies and practices, underscoring her commitment to environmental stewardship.

Legacy and Future Contributions 🌱

Looking forward, Ivana Bajšanski is poised to continue her impactful work in sustainable architecture and urban planning. Her future contributions will likely focus on further integrating digital tools with architectural design, enhancing the capability of urban planners and architects to create resilient, climate-adaptive cities. Bajšanski’s ongoing academic role will ensure that her knowledge and insights are passed on to future generations of architects, instilling in them a sense of responsibility for creating sustainable and livable urban environments. Her commitment to environmental analysis, digital modeling, and cross-border collaboration positions her as a leading figure in shaping the future of urban architecture in Southeast Europe.

In summary, Ivana Bajšanski’s career has been marked by a dedication to sustainable urban planning, impactful research, and academic excellence. Her work not only addresses the environmental challenges of today but also lays the groundwork for future innovations in urban design, ensuring that her legacy will continue to inspire architects and urban planners for years to come.

📝Notable Publications

Influence of changing trees locations on thermal comfort on street parking lot and footways

Authors: DD Milošević, IV Bajšanski, SM Savić

Journal: Urban Forestry & Urban Greening

Year: 2017

Evaluation and improvement of outdoor thermal comfort in urban areas on extreme temperature days: Applications of automatic algorithms

Authors: IV Bajšanski, DD Milošević, SM Savić

Journal: Building and Environment

Year: 2015

Development of an automated urban climate monitoring system in Novi Sad (Serbia)

Authors: I Šećerov, S Savić, D Milošević, V Marković, I Bajšanski

Journal: Geographica Pannonica

Year: 2015

Effect of tree location on mitigating parking lot insolation

Authors: I Bajsanski, V Stojakovic, M Jovanovic

Journal: Computers, Environment and Urban Systems

Year: 2016

The influence of changing location of trees in urban green spaces on insolation mitigation

Authors: V Stojakovic, I Bajsanski, S Savic, D Milosevic, B Tepavcevic

Journal: Urban Forestry & Urban Greening

Year: 2020

Assoc Prof Dr. Jing Dong | Decision-making and Problem-solving | Best Researcher Award

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Assoc Prof Dr. Jing Dong | Decision-making and Problem-solving | Best Researcher Award

Dalian University of Technology, China

Profile 

Scopus 

Early Academic Pursuits 🎓

Jing Dong’s academic journey began with a Ph.D. in Urban Planning from Tianjin University, a prestigious institution in China. Her early research centered on understanding the role of ecological systems in urban environments, with a focus on mitigating the effects of climate change through sustainable planning. These formative years set the foundation for her later work, where she would delve deeper into the integration of nature-based solutions (NBS) into urban planning strategies. Her academic excellence and curiosity led her to explore innovative ways of addressing the ecological and social challenges that cities face today.

Professional Endeavors and Contributions 🌍

As an Associate Professor and Doctoral Supervisor at Dalian University of Technology, Jing Dong has established herself as a leader in ecological urban planning. Her professional work primarily focuses on climate adaptation strategies that utilize nature-based solutions, such as green roofs and urban greening initiatives. Through her innovative approach to quantifying the multiple benefits of green roofs—ranging from cooling effects and runoff reduction to biodiversity enhancement—she has developed assessment methods that are both practical and scientifically sound.

Jing has also established a set of multi-objective optimization planning methods that enhance the integration of these solutions with spatial planning, ensuring a balance between ecological benefits and costs. This work not only advances urban planning methodologies but also demonstrates the importance of harmonizing environmental and economic considerations in sustainable development.

Her role as a consultant in nine industry projects, coupled with her academic output, highlights her deep engagement with both the theoretical and practical dimensions of urban planning. The completion of the 13th Five-Year Key R&D Program sub-themes, in collaboration with the Institute of Urban Environment of the Chinese Academy of Sciences and the Xiamen Planning Institute, further underscores her significant contributions to national and regional urban planning efforts.

Research Focus and Innovations 🔬

Jing Dong’s research agenda is dedicated to finding practical, scalable solutions to climate-related challenges in urban areas. Her work is grounded in the exploration of nature-based solutions (NBS), which leverage natural systems to address urban challenges such as heat, flooding, and air pollution. Her innovative methods for assessing the ecological benefits of green roofs—such as their cooling effects and contribution to biodiversity—have made significant strides in promoting greener, more sustainable cities.

One of her major achievements is the development of multi-objective optimization tools that help city planners assess and prioritize ecological interventions. This enables more effective climate adaptation strategies that balance environmental gains with financial and logistical constraints. Her work is particularly relevant in the context of China’s rapid urbanization, where the need for climate-resilient infrastructure is more pressing than ever.

Jing Dong has led five national and provincial research projects, demonstrating her capacity to manage complex, interdisciplinary projects. Her research output includes over 30 academic papers published in top-tier journals, with 19 as the first or corresponding author. Her work has been featured in seven CAS TOP journals, a testament to the high-impact nature of her research. In addition to her publications, Jing authored a monograph and filed two patents, further solidifying her contributions to the field.

Accolades and Recognition 🏆

Jing Dong’s work has been widely recognized with several prestigious awards. Among her notable accolades is the second prize for the National Outstanding Urban and Rural Planning and Design Award, which is a significant honor in her field. She has also been awarded the third prize for the Outstanding Achievement Award in Social Sciences, as well as the third prize for Excellent Urban and Rural Planning Design at the provincial and ministerial levels.

These awards highlight her contribution to both academic research and practical planning solutions. Her work has had a direct impact on urban policy and design, improving the sustainability and livability of cities through the integration of ecological principles into planning frameworks.

Impact and Influence 🌱

Jing Dong’s influence extends beyond the academic sphere. Her work on nature-based solutions has shaped policy discussions around urban climate adaptation, particularly in China’s fast-growing urban regions. The tools and methodologies she has developed have been adopted by urban planners and policymakers, guiding the implementation of green infrastructure projects in cities facing environmental degradation and climate-related risks.

Her leadership in consulting projects has enabled her to bring cutting-edge research into practical application, benefiting communities by improving urban resilience. This translation of academic research into real-world solutions is one of the hallmarks of her career, making her a sought-after expert in urban planning and climate adaptation.

Legacy and Future Contributions 🚀

Looking ahead, Jing Dong is poised to continue making significant contributions to urban sustainability. Her ongoing projects on climate adaptation planning for nature-based solutions are expected to push the boundaries of current knowledge in this field. With two patents currently under process, she is set to further expand the technological and methodological toolkit available to urban planners.

Her commitment to fostering sustainable cities and communities ensures that her legacy will endure through the improved livability and resilience of the urban environments she helps design. Future generations of researchers and planners are likely to build upon her work, using her innovative approaches to address the challenges of climate change and urbanization.

In sum, Jing Dong’s career is marked by a profound commitment to ecological urban planning, climate adaptation, and the pursuit of sustainable solutions. Through her research, teaching, and consultancy work, she has had a lasting impact on both academic thought and urban policy, with the promise of even greater achievements in the future.

Notable Publications

Framework of street grid-based urban heat vulnerability assessment: Integrating entropy weight method and BPNN model

Authors: Guo, F., Zheng, R., Zhao, J., Zhang, H., Dong, J.

Journal: Urban Climate

Year: 2024

Application and future of local climate zone system in urban climate assessment and planning—Bibliometrics and meta-analysis

Authors: Zhang, H., Bai, J., Zhao, J., Dong, J., Cai, J.

Journal: Cities

Year: 2024

Finer-scale urban health risk assessment based on the interaction perspective of thermal radiation, human, activity, and space

Authors: Guo, R., Guo, F., Dong, J., Zheng, R., Zhang, H.

Journal: Frontiers of Architectural Research

Year: 2024

Factors influencing outdoor thermal comfort in a coastal park during the transition seasons in cold regions of China

Authors: Zhang, H., Wang, Y., Guo, F., Dong, J., Zhu, P.

Journal: Urban Climate

Year: 2024

Potential evaluation and implementation strategy for pocket park construction in high-density urban areas: A case study in Dalian, China

Authors: Dong, J., Guo, R., Guo, F., Cai, J.

Journal: Frontiers of Architectural Research

Year: 2024

Mr. Chengze Wang | Decision-making and Problem-solving | Best Researcher Award

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Mr. Chengze Wang | Decision-making and Problem-solving | Best Researcher Award

Jilin University, China

🔗 Professional Profiles

🌟 Summary:

Chengze Wang is a dedicated master’s student at Jilin University, specializing in Computer Science and Technology. His research focuses on computer vision and intelligent driving, contributing significantly to cutting-edge technologies in these fields.

🎓 Education:

Currently pursuing a master’s degree at the College of Computer Science and Technology, Jilin University, Changchun, China.

👨‍💼 Professional Experience:

  • Winner of the second prize in the National College Student Mathematical Modeling Contest.
  • Excellence Award recipient in the National College Student Programming Contest.

🔬 Research Interests:

Specializes in robotics and intelligent driving. Chengze has developed innovative loop closure detection algorithms tailored for diverse driving environments, enhancing vehicle position recognition in complex settings.

📝Notable Publications 

Paper Tittle: Design of superior ethanol gas sensor based on Al-doped NiO nanorod-flowers
  • Author: Chen Wang, Xiaobiao Cui, Jiangyang Liu, Xin Zhou, Xiaoyang Cheng, Peng Sun, Xiaolong Hu, Xiaowei Li, Jie Zheng, Geyu Lu
  • Journal: Acs Sensors
  • Year: 2016
  • Citations: 373
Paper Tittle: Hierarchical α-Fe2O3/NiO Composites with a Hollow Structure for a Gas Sensor
  • Author: Chen Wang, Xiaoyang Cheng, Xin Zhou, Peng Sun, Xiaolong Hu, Kengo Shimanoe, Geyu Lu, Noboru Yamazoe
  • Journal: ACS applied materials & interfaces
  • Year: 2014
  • Citations: 269
Paper Tittle: Highly sensitive acetone gas sensor based on porous ZnFe2O4 nanospheres
  • Author: Xin Zhou, Jiangyang Liu, Chen Wang, Peng Sun, Xiaolong Hu, Xiaowei Li, Kengo Shimanoe, Noboru Yamazoe, Geyu Lu
  • Journal: Sensors and Actuators B: Chemical
  • Year: 2015
  • Citations: 225
Paper Tittle: Design of Au@ ZnO yolk–shell nanospheres with enhanced gas sensing properties
  • Author: Xin Zhou, Jiangyang Liu, Chen Wang, Peng Sun, Xiaolong Hu, Xiaowei Li, Kengo Shimanoe, Noboru Yamazoe, Geyu Lu
  • Journal: Xiaowei Li, Xin Zhou, Hang Guo, Chen Wang, Jiangyang Liu, Peng Sun, Fengmin Liu, Geyu Lu
  • Year: 2014
  • Citations: 221
Paper Tittle: Porous ZnO/ZnCo 2 O 4 hollow spheres: synthesis, characterization, and applications in gas sensing
  • Author: Xin Zhou, Jiangyang Liu, Chen Wang, Peng Sun, Xiaolong Hu, Xiaowei Li, Kengo Shimanoe, Noboru Yamazoe, Geyu Lu
  • Journal: Xin Zhou, Wei Feng, Chen Wang, Xiaolong Hu, Xiaowei Li, Peng Sun, Kengo Shimanoe, Noboru Yamazoe, Geyu Lu
  • Year: 2014
  • Citations: 180

Prof. Xing Huang Innovative Leadership | Best Researcher Award

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Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8