Xin Wen | City sustainability | Best Researcher Award

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Mr. Xin Wen | City sustainability | Best Researcher Award

Mr. Xin Wen, Harbin Institute of Technology, China

📘 Xin Wen is currently a Master’s student in Business Administration at the Harbin Institute of Technology, focusing on Advanced Statistics and Decision Theory (2023-2025). He holds a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023). 🌍 His research includes sustainable city assessment in Shandong and food safety risk prediction, with publications in high-impact journals. Xin’s professional experience spans marketing at Amer Sports and data analysis at BSH Home Appliances. He is an award-winning participant in various academic competitions. 💻 Skills: Python, Tableau, SPSS. 🎿 Interests: Skiing, rock climbing, and video creation with 257k+ plays.

 

Publication profile

Orcid

📚 Education

Wen Xin is currently pursuing a Master’s degree in Business Administration at Harbin Institute of Technology (2023-2025), specializing in advanced statistical methods and decision-making theories. He previously earned a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023), where he studied data analysis, systems engineering, and data visualization.

🧪 Academic Experience

Wen is engaged in an integrated city sustainability assessment study in Shandong, utilizing deep learning and multi-criteria decision-making. He has developed models using LSTM and GCN and contributed to a paper published in Sustainable Cities and Society. He also participated in a national key R&D project focusing on food safety risk prediction, publishing his findings in Foods.

🏆 Awards

Wen’s excellence is reflected in his awards, including First Prize in the Global Brand Planning Competition in Singapore and top honors in data analysis and mathematics competitions in China.

Research Focus

Xin Wen is a researcher whose work spans multiple domains, focusing particularly on sustainability and food safety. Their research on sustainability is exemplified by the recent study on city sustainability assessment using multicriteria decision-making and deep learning methodologies. This approach integrates advanced AI techniques with environmental science to evaluate urban sustainability comprehensively 🌆♻️. Additionally, Xin Wen has contributed to food safety research, employing ensemble deep learning for predicting food safety risks, specifically concerning heavy metals in grain processing 🌾⚖️. This indicates a dual focus on leveraging technology to enhance environmental sustainability and food security, crucial areas for global health and sustainability 🌍🔬.

Publication Top Notes

Sustainability assessment of cities using multicriteria decision-making combined with deep learning methods

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

 

 

Gaurav Kumar Mishra | Urban Planning Award | Best Researcher Award

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Mr. Gaurav Kumar Mishra | Urban Planning Award | Best Researcher Award

Mr. Gaurav Kumar Mishra, Visvesvaraya National Institute of Technology Nagpur, India

Ar. Gaurav Kumar Mishra, a member of the Council of Architecture (Reg. No- CA/2014/64657), is currently pursuing his Ph.D. in Architecture at Visvesvaraya National Institute of Technology, Nagpur. Holding a B. Arch and M. Tech, his expertise spans across architecture, urban planning, civil engineering, and remote sensing. With experience as an Assistant Professor at various esteemed institutions, including The Maharaja Sayajirao University of Baroda and Shri Mata Vaishno Devi University, he excels in academia and practical application. Proficient in various graphical packages and recognized for his achievements, Dr. Mishra is dedicated to advancing the field of architecture and engineering.

 

Publication Profile

Google Scholar

Education

🎓 Dr. Gaurav Kumar Mishra pursued a diverse educational journey, culminating in a wealth of expertise. He holds a Ph.D. in Architecture from the Department of Architecture and Planning at Visvesvaraya National Institute of Technology, Nagpur, with ongoing studies. His M. Tech. in Civil Engineering, specialized in Geomatics Engineering, was earned from the prestigious Indian Institute of Technology, Roorkee, in 2015, boasting a commendable CGPA of 7.441. Prior to this, he achieved his Bachelor of Architecture (B.Arch. Honours) from BBD National Institute of Tech. and Mang., Lucknow, under Uttar Pradesh Technical University, graduating in 2013 with an impressive aggregate percentage of 77.05%. 🏛️

 

Experience

🏫 Dr. Gaurav Kumar Mishra has amassed a rich tapestry of academic and professional experiences, showcasing his dedication to the fields of architecture, urban planning, civil engineering, and remote sensing. He served as an Assistant Professor at esteemed institutions like The Maharaja Sayajirao University of Baroda, Shri Mata Vaishno Devi University, and Manipal University, imparting knowledge and shaping future architects and engineers. Prior to his academic roles, he honed his skills as an Assistant Architect at Skyline Architectural Consultants Pvt Ltd, furthering his practical understanding of architectural design. His tenure as a Junior Research Fellow at the Indian Institute of Remote Sensing highlights his commitment to research and innovation in the field. 🌟

Research Focus

Gaurav Kumar Mishra’s research primarily revolves around lichenology, with a particular emphasis on the taxonomy, diversity, ecology, and distribution of lichens in India, especially in the Himalayan region. His work encompasses the discovery of new species, enumeration studies, and investigations into the ecological roles of lichens. Mishra’s contributions have significantly enriched the understanding of lichen biodiversity in various regions of India, shedding light on their importance in ecological conservation and serving as a foundation for further research in this field. 🌿 His dedication to lichenological research underscores a passion for understanding and preserving the intricate relationships within ecosystems.

Publication Top Notes

Survey on data mining techniques in intrusion detection

Sara Torabi Moghadam | Pianificazione Sostenibile Urbana Award | Best Researcher Award

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Dr. Sara Torabi Moghadam | Pianificazione sostenibile urbana | Best Researcher Award

Dr. Sara Torabi Moghadam,Politecnico di Torino, Italy

Dr. Sara Torabi Moghadam is an accomplished Assistant Professor at Polytechnic University of Turin, specializing in Smart and Sustainable Cities. With a Ph.D. in Urban and Regional Development, she’s renowned for her pioneering work in Multi-Criteria Spatial Decision Support Systems (MC-SDSS). 🏙️ Her extensive expertise spans sustainable urban planning, GIS-based modeling, and interdisciplinary research. A dedicated educator, she supervises Ph.D. students, conducts impactful research, and actively contributes to international conferences. Dr. Torabi Moghadam’s commitment to fostering resilient, carbon-neutral cities underscores her passion for advancing urban sustainability. 🌱

 

Publication Profile

Google Scholar

Education

Dr. Sara Torabi Moghadam embarked on her academic journey with a B.Sc. in Applied Physics from Imam Khomeini International University, Iran. She continued her pursuit at Polytechnic University of Turin, Italy, earning a B.Sc. in Architecture, followed by an M.Sc. in Sustainable Architecture, and culminating in a Ph.D. in Urban and Regional Development. Her Ph.D. research focused on pioneering Multi-Criteria Spatial Decision Support Systems (MC-SDSS) for urban energy planning, earning her the prestigious “premio di qualità” award in 2018.

Honors and Award

Dr. Sara Torabi Moghadam’s journey is adorned with accolades that testify to her excellence and dedication. Her noteworthy accomplishments include the prestigious “Best PhD Award 2018” from Polytechnic University of Turin, Italy, recognizing her outstanding contributions to urban and regional development. Notably, she received her Ph.D. with honors, further underscoring her academic prowess. Prior to this, her academic pursuits were also marked by distinction, with honors bestowed upon her Master of Science in Sustainable Architecture and her Bachelor of Science degree from Polytechnic University of Turin. Additionally, her scholarly endeavors were acknowledged with the Best Paper Award at the International Conference Advancing Sustainable Futures ICASF 2023, held in Abu Dhabi. Each accolade serves as a testament to Dr. Moghadam’s relentless pursuit of excellence in academia. 🎓

Research Focus

🔍 Dr. Sara Torabi Moghadam’s research focus revolves around the intersection of Geographic Information Systems (GIS), statistical analysis, and sustainable urban development. Her pioneering work encompasses the development of GIS-based models and spatial decision support systems (SDSS) to address energy use, urban heat planning, and low-carbon cities. Through multidisciplinary approaches, she delves into assessing and retrofitting building stocks, selecting energy-efficient measures, and integrating renewable energy sources. Dr. Moghadam’s research not only contributes to understanding urban energy consumption patterns but also lays the groundwork for informed decision-making towards resilient and sustainable urban environments. 🌍

Publication Top Notes 

📚 A GIS-statistical approach for assessing built environment energy use at urban scaleby S. Torabi Moghadam et al. (2018) – Cited by 158* in 2018
🔍 Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches by S. Torabi Moghadam et al. (2017) – Cited by 121 in 2017
🌍 “Multicriteria spatial decision support systems for future urban energy retrofitting scenarios” by P. Lombardi et al. (2017) – Cited by 50 in 2017
🏙️ “A new clustering and visualization method to evaluate urban heat energy planning scenarios” by S. Torabi Moghadam et al. (2019) – Cited by 49 in 2019
🏗️ “An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using CommuntiyVIZ to support urban energy planning” by S. Torabi Moghadam et al. (2019) – Cited by 45 in 2019
🌱 “Mainstreaming energy communities in the transition to a low-carbon future: A methodological approach” by S. Torabi Moghadam et al. (2020) – Cited by 30 in 2020
🏠 “A multi-criteria application to select energy retrofit measures at the building and district scale” by D. Dirutigliano et al. (2018) – Cited by 30 in 2018
📊 “GIS-based energy consumption model at the urban scale for the building stock” by S. Torabi Moghadam et al. (2016) – Cited by 28 in 2016
🔬 “A mixed methodology for defining a new spatial decision analysis towards low carbon cities” by S. Torabi Moghadam et al. (2017) – Cited by 19 in 2017
🏙️ “Towards a new integrated spatial decision support system in urban context” by S. Torabi Moghadam et al. (2016) – Cited by 19 in 2016