Reza Khalili | Strategic Decision-Making | Best Researcher Award

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Mr. Reza Khalili | Strategic Decision-Making | Best Researcher Award 

Research Assistant at Stony Brook University | United States 

Mr. Reza Khalili is a graduate student in Electrical and Computer Engineering at Stony Brook University, where he is pursuing a Ph.D. in Electrical Engineering with a strong academic record. His educational background also includes a master’s degree in Electrical Engineering from Amirkabir University of Technology and a bachelor’s degree in Electrical Engineering from the University of Isfahan. His research primarily focuses on power systems optimization, renewable energy integration, electricity markets, and the application of advanced computational and machine learning methods in energy systems. His scholarly impact is reflected in 81 citations across 78 documents, with 6 publications and an h-index of 4. Khalili has contributed to several peer-reviewed journals and conferences, publishing impactful works on topics such as robust multi-objective optimization for electricity markets, socio-economic energy hub design, peer-to-peer energy trading, and uncertainty management in renewable energy integration. His co-authored works have appeared in respected journals including Applied Energy, Journal of Energy Storage, and Energy & Buildings, and he has contributed a book chapter published by Taylor & Francis. His conference papers include research on security-constrained optimal power flow and distribution network resilience, one of which was recognized as a best paper finalist at IEEE SmartGridComm. In his academic career, Khalili has gained valuable research experience as a graduate research assistant, working on advanced optimization techniques, contingency prediction in power systems, and uncertainty quantification methods.

Profiles : Scopus | ORCID | Google Scholar 

Featured Publications: 

Khalili, R., Khaledi, A., Marzband, M., Nematollahi, A. F., Vahidi, B., & Siano, P. (2023). Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs. Applied Energy, 334, 120737.

Darvishi, A., Ranjbar, B., Gharibi, R., Khalili, R., & Dashti, R. (2024). Multi-objective optimization of a socio-economic energy hub with demand response program and considering customer satisfaction. Journal of Energy Storage, 100, 113624.

Gharibi, R., Khalili, R., Vahidi, B., Nematollahi, A. F., Dashti, R., & Marzband, M. (2025). Enhancing energy hub performance: A comprehensive model for efficient integration of hydrogen energy and renewable sources with advanced uncertainty management strategies. Journal of Energy Storage, 107, 114948.

Gharibi, H., Gharibi, R., Khalili, R., Dashti, R., Marzband, M., & Rawa, M. (2025). Optimizing multi-objective peer-to-peer energy trading in green homes: Robust strategies to address non-probabilistic uncertainty using IGDT with integrated demand response. Energy and Buildings, 116435.

Gharibi, R., Vahidi, B., Dashti, R., & Khalili, R. (n.d.). From electrons to solutions: Power-to-X strategies for energy systems integration. In Power-to-X in regional energy systems (pp. 201–227). Taylor & Francis.

Jie Yang | optimizing decision-making | Best Researcher Award

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Dr. Jie Yang  – optimizing decision-making  – Best Researcher Award

Hangzhou Dianzi University | China

Author Profile 

 Early Academic Pursuits 🎓

His academic journey showcases his dedication to advancing computer science and engineering. He began his studies at the Nanjing College for Population Programme Management, earning a Bachelor of Science in Computer Science and Technology in June 2008. This early education laid a strong foundation in computer science principles.

Driven by a desire to deepen his understanding, he pursued a Master’s degree in Technology of Computer Application at Taiyuan University of Technology, graduating in July 2011. Under the mentorship of Associate Professor Jiancheng An, his research delved into practical applications of computer technology, preparing him for his doctoral studies.

In September 2011, he embarked on a Ph.D. program in Management Science and Engineering at Nanjing University, working with Professor Xianzhong Zhou. He completed his doctorate in December 2014, focusing on multi-objective optimization decision-making, a field that would define much of his subsequent research.

 Professional Endeavors 💼

Since December 2014, he has been a lecturer at the Management School of Hangzhou Dianzi University. Here, he shares his extensive knowledge and research insights with students, shaping the next generation of computer scientists.

In December 2018, Jie began post-doctoral research at Jinling Hospital, affiliated with the Medical School of Nanjing University, under the guidance of Professor Xinyi Xia. This role allows him to apply his expertise in computer science to medical research, demonstrating the interdisciplinary impact of his work.

From August 2017 to August 2018, he expanded his international experience as a visiting scholar at Nipissing University in Canada. Collaborating with Professor Haibin Zhu, this position was funded by the China Scholarship Council, highlighting the global recognition of his research contributions.

 Contributions and Research Focus on optimizing decision-making📚

His research spans several cutting-edge areas, including multi-objective optimization decision-making, role-based collaboration, social computing, and multi-cloud storage. His prolific contributions are evidenced by numerous publications in top-tier journals and conferences. Key publications include:

  • “Merging Preferences into the Best Solution Seeking for Many-Objective Optimization Problems” (Expert Systems with Applications, 2024)
  • “Personalized Web Service Recommendation Based on Heterogeneous Social Network” (Acta Electronica Sinica, 2020)
  • “Secure and Economical Multi-Cloud Storage Policy with NSGA-II-C” (Applied Soft Computing, 2019)

Additionally, Jie authored the influential book “Service Computing: Service Management and Service Composition Process”, published by Tsinghua University Press in June 2017. This work serves as a valuable resource for students and professionals in the field.

 Accolades and Recognition 🏆

His excellence has been recognized through various awards. In 2023, he was honored with the Excellent Undergraduate Graduation Advisor award from Hangzhou Dianzi University. His academic achievements during his doctoral studies include the Major Award of Guanhua from Nanjing University in 2013 and several awards for outstanding doctoral students in 2012.

 Impact and Influence 🌍

His research has significantly influenced both academic communities and industry practices. His work on multi-objective optimization and social computing has led to more efficient and secure multi-cloud storage solutions. His role as a reviewer for journals such as the Journal of Cloud Computing and Expert Systems with Applications further underscores his influence in these fields.

 Legacy and Future Contributions 🔮

His legacy is characterized by his relentless pursuit of knowledge and innovation. His ongoing projects, supported by grants from the Zhejiang Provincial Natural Science Foundation of China and the National Science Foundation of China, ensure his continued contributions to computer science and engineering. His dedication to education and research sets a high standard for future generations of scholars and practitioners.

Notable Publications 

  1. Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax
  2. Research on digital production technology for traditional manufacturing enterprises based on industrial Internet of Things in 5G era
  3. Personalized Web Service Recommendation Based on Heterogeneous Social Network | 基于混杂社会网络的个性化Web服务推荐方法
  1. Secure and economical multi-cloud storage policy with NSGA-II-C
  1. Resource allocation policy based on trust in the multi-cloud environment
  1. Multi-task assignment in information technology companies based on the E-CARGO model
  1. Web service retrieval based on semantic and syntactic
  2. Humanware model in novel decision system
  1. Architecture design of the workflow execution system containing Humanware Services
  2. A novel method for Web Service Composition based on extended BDI