Mr. Xi Tianyu | Automation Award | Best Researcher Award

Mr. Xi Tianyu | Automation Award | Best Researcher Award

Mr. Xi Tianyu, Northeastern University, China

Dr. Xi Tianyu is a professor and doctoral supervisor at the Northeastern University School of Architecture, specializing in sustainable architecture, architectural technology, and green living. He has led over 10 national and provincial research projects, published more than 50 papers, and holds three authorized patents. He has contributed to national and industry standards, authored textbooks, and received multiple awards for teaching and research excellence. Dr. Xi is actively involved in several professional committees, including the China Urban Science Research Association and the China Engineering Construction Standardization Association, and is a member of international organizations such as ISIAQ and AIJ.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Xi Tianyu is a highly accomplished researcher in sustainable architecture, with extensive contributions to green building technologies, energy conservation, and thermal comfort optimization. His leadership in over 10 national and provincial research projects, along with 50+ published papers and multiple patents, demonstrates his strong research impact. His involvement in national standards development, textbook authorship, and architectural design competitions further highlights his influence in academia and industry. Given his outstanding research, academic leadership, and numerous accolades, Dr. Xi Tianyu is a highly suitable candidate for the Best Researcher Award.

๐Ÿ“š Education & Work Experience

๐ŸŽ“ Doctor of Engineering
๐Ÿซ Professor & Doctoral Supervisor at Northeastern University School of Architecture

๐Ÿ† Achievements

๐Ÿ”ฌ Led 10+ research projects (national, provincial, and local), including:

  • ๐Ÿ‡จ๐Ÿ‡ณ National Natural Science Foundation Key Project sub-projects
  • ๐ŸŽฏ National Natural Science Foundation Youth Fund

๐Ÿ“„ Published 50+ research papers
๐Ÿ“œ 3 authorized patents
๐Ÿ“˜ Co-authored 5 national & industry standards
๐Ÿ“– Contributed to 2 textbooks & authored 1 book (funded by National Publishing Fund)

๐ŸŽจ Guided 10+ international & domestic architectural design competitions, winning:
๐Ÿฅ‡ Gu Yu Cup First Prize
๐Ÿ… AIM Cup Special Prize
๐Ÿฅ‰ China Habitat Environment Design Annual Award Bronze Award (2023)

๐ŸŽ–๏ธ Awards & Honors

๐Ÿ† Northeastern University Teaching Achievement Awards:

  • ๐Ÿฅ‡ First Prize (2024)
  • ๐Ÿฅˆ Second Prize (2022)
    ๐ŸŽ“ Excellent Teaching Plan Award
    ๐Ÿ“œ Excellent Homework Guide Award
    ๐Ÿ“– Excellent Paper Award (Chinese Higher Education Architecture Teaching Guidance Committee)

Publicationย Top Notes:

Analysis of the Characteristics of Heat Island Intensity Based on Local Climate Zones in the Transitional Season of Shenyang

 

Optimization of Residential Indoor Thermal Environment by Passive Design and Mechanical Ventilation in Tropical Savanna Climate Zone in Nigeria, Africa

 

A preliminary study of multidimensional semantic evaluation of outdoor thermal comfort in Chinese

 

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

A Review of Thermal Comfort Evaluation and Improvement in Urban Outdoor Spaces

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Awardย 

Mr. Mehrdad Shoeibi, Worcester Polytechnic Institute, United States

Mehrdad Shoeibi is an AI specialist and researcher with expertise in industrial engineering, machine learning, and generative AI, particularly in healthcare, data analytics, and optimization. He is currently pursuing a Ph.D. in Business Administration and Management (IT) at Worcester Polytechnic Institute (WPI) and serves as a Research Assistant for the SmartWAnDS Project, focusing on AI applications in chronic wound analysis. He holds an M.Sc. in Industrial Engineering from the Institute for Management and Planning Studies (IMPS) and a B.Sc. from Islamic Azad University (IAU). Mehrdad has extensive experience in project control management and optimization, having worked in the construction and engineering industries. His technical skills include Python, AI/ML frameworks, and various business intelligence and project management tools.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability of Mehrdad Shoeibi for the Best Researcher Award

Mehrdad Shoeibi demonstrates a strong research background in Generative AI, Machine Learning, Healthcare Applications, and Optimization, which aligns with cutting-edge advancements in AI. His ongoing Ph.D. at Worcester Polytechnic Institute (WPI) and previous degrees in Industrial Engineering establish a solid academic foundation.

๐ŸŽ“ Education

  • Doctor of Philosophy, Business Administration and Management (IT) (2023 โ€“ Present)
    ๐Ÿ“ Worcester Polytechnic Institute (WPI) | GPA: 3.80
  • Master of Science, Industrial Engineering (2018 โ€“ 2021)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS) | GPA: 3.41/4
  • Bachelor of Science, Industrial Engineering (2010 โ€“ 2014)
    ๐Ÿ“ Islamic Azad University (IAU) | GPA: 3.11/4

๐Ÿ’ผ Work Experience

Academic & Research Experience

  • Research Assistant โ€“ SmartWAnDS Project, WPI (Aug 2023 โ€“ Present)
    ๐Ÿ”น Conducting systematic reviews on generative AI applications in healthcare.
    ๐Ÿ”น Developing tools for chronic wound image annotation and classification.
  • Teaching Assistant โ€“ Game Theory (Feb 2021 โ€“ Jun 2021)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS)
  • Teaching Assistant โ€“ Energy Pricing (Feb 2019 โ€“ Jun 2019)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS)

Industry Experience

  • Project Control Manager โ€“ Aalam Architectural & Structural Consultants (Dec 2019 โ€“ Apr 2023)
    ๐Ÿ”น Managed BIM implementation.
    ๐Ÿ”น Coordinated interdisciplinary efforts.
    ๐Ÿ”น Cost estimation and project scheduling.
    ๐Ÿ”น Process management and optimization.
  • Project Control Specialist โ€“ Payasazeh Pasargad (Jun 2018 โ€“ Dec 2019)
    ๐Ÿ”น Provided value engineering recommendations.
    ๐Ÿ”น Coordinated construction activities.
    ๐Ÿ”น Prepared project progress reports.
  • Project Control Engineer โ€“ Aalam Architectural & Structural Consultants (Jan 2013 โ€“ Jul 2015)

๐Ÿ† Achievements, Awards & Honors

  • ๐Ÿ“œ Published research in Generative AI applications in healthcare.
  • ๐Ÿ… Key contributor to the SmartWAnDS Project at WPI.
  • ๐ŸŽ– Expertise in machine learning, optimization, and AI-driven healthcare solutions.
  • ๐Ÿ† Experience in business intelligence and operations research.

Publicationย Top Notes:

Moving toward resiliency in health supply chain

CITED:8

A Novel Six-Dimensional Chimp Optimization Algorithmโ€”Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting inย โ€ฆ

CITED:1

Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications.

CITED:1

Energy-Efficient and Secure Double RIS-Aided Wireless Sensor Networks: A QoS-Aware Fuzzy Deep Reinforcement Learning Approach

CITED:0

5DGWO-GAN: A Novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial Network-Enabled Intrusion Detection in IoT Systems.

CITED:0

 

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circularโ€“Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference