Calin-Adrian COMES | Digital Transformation | Best Academic Researcher Award

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Dr. Calin-Adrian COMES | Digital Transformation | Best Academic Researcher Award

George Emil Palade University of Medicine | Romania

Calin-Adrian Comes is an accomplished academic leader serving as the Institutional Director of the Centre for Studies in Law, Economics and Business at George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, where he contributes to advancing interdisciplinary research in economics, finance, migration studies and data-driven social analysis. He has built his educational foundation in economics and quantitative methods, strengthening it through advanced academic training that integrates econometrics, computational modelling and applied analytical techniques. His professional experience spans teaching, research supervision and collaborative engagement across national and international academic networks. His research interests encompass remittances, migration dynamics, financial flows, labour mobility, econometric modelling and data-mining approaches supporting evidence-based policy. He is skilled in quantitative analysis, stochastic modelling, statistical computing, data mining, natural language processing, SQL and NoSQL databases, as well as interdisciplinary methods that connect economic theory with real-world socio-economic challenges. His work includes contributions to books, journal articles and conference proceedings, supported by widespread citations that reflect his academic impact. He is affiliated with professional societies such as IEEE and the Econometric Society, and his achievements have positioned him for recognition through prestigious scientific award platforms. Overall, he stands out as a researcher committed to analytical rigor, collaborative scholarship and advancing knowledge that informs sustainable economic and social development.

Profile: Google scholar

Featured Publications

Comes, C. A., Bunduchi, E., Vasile, V., & Stefan, D. (2018). The impact of foreign direct investments and remittances on economic growth: A case study in Central and Eastern Europe. Sustainability, 10(1), 238.
Citations: 159

Bresfelean, V. P., Bresfelean, M., Ghisoiu, N., & Comes, C. A. (2008). Determining students’ academic failure profile founded on data mining methods. In ITI 2008: 30th International Conference on Information Technology Interfaces (pp. 1–6).
Citations: 102

Stefan, D., Vasile, V., Oltean, A., Comes, C. A., Stefan, A. B., & Ciucan-Rusu, L., et al. (2021). Women entrepreneurship and sustainable business development: Key findings from a SWOT–AHP analysis. Sustainability, 13(9), 5298.
Citations: 97

 

Yuanming Zhang | Intelligent data processing and analysis | Best Researcher Award

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Dr. Yuanming Zhang | Intelligent data processing and analysis | Best Researcher Award

Yuanming Zhang is an Associate Professor at the College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. He earned his Ph.D. in Information Science from Utsunomiya University, Japan, in 2010. His research focuses on data processing, graph neural networks, knowledge graphs, prognostics, health management, and condition monitoring. With expertise in deep learning and artificial intelligence, he has contributed significantly to neural network advancements. His work integrates cutting-edge technologies for intelligent data analysis and predictive maintenance. 📊🧠🔍

Profile

Education 🎓

Yuanming Zhang obtained his Ph.D. in Information Science from Utsunomiya University, Japan, in 2010. His academic journey emphasized computational intelligence, machine learning, and advanced data analytics. He developed expertise in deep learning models, including convolutional and graph neural networks. His education laid a strong foundation for interdisciplinary research, integrating artificial intelligence with real-world applications. 📚🧑‍🎓📈

Experience 👨‍🏫

Yuanming Zhang has been an Associate Professor at Zhejiang University of Technology since completing his Ph.D. in 2010. His professional journey spans over a decade in academia, focusing on AI, neural networks, and knowledge graphs. He has supervised research projects, collaborated on industry applications, and contributed to advancements in predictive analytics and condition monitoring. His expertise extends to teaching, mentoring, and interdisciplinary AI applications. 🏫🤖📡

Research Interests 🔬

Yuanming Zhang specializes in deep learning, attention mechanisms, graph neural networks, and AI-driven predictive analytics. His research explores neural architectures for data processing, knowledge representation, and condition monitoring. His expertise spans convolutional networks, LSTMs, GRUs, and deep belief networks. His work contributes to advancements in AI-driven diagnostics, intelligent systems, and real-time health monitoring applications. 🧠📊🖥️

Awards & Recognitions 🏅

Yuanming Zhang has received recognition for his contributions to AI, machine learning, and data analytics. His work in deep learning and knowledge graphs has earned him accolades from research institutions and conferences. His papers in neural networks and predictive maintenance have been highly cited, solidifying his impact in the field. His research excellence has been acknowledged through grants and academic distinctions. 🎖️📜🔬

Publications 

 

Domveer sharma | Decision Making | Best Scholar Award

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Dr omveer sharma | Decision Making  |  Best Scholar Award

 

Post-doc at  University of Haifa, Israel

 

📚 Omveer Sharma is a distinguished Postdoctoral Fellow at the University of Haifa, specializing in computational and physiological models of GABAergic neurons in bipolar disorder 🧠. He earned his PhD in Electrical Engineering from IIT Bhubaneswar, focusing on advanced machine and deep learning for autonomous vehicles 🚗. With an M.Tech and B.Tech in Electrical Engineering from Rajasthan Technical University, his research spans machine learning, deep learning, NLP, and image processing. Proficient in MATLAB, Python, and Tensorflow, Omveer’s work integrates cutting-edge AI models like CNNs and RNNs, contributing significantly to autonomous vehicle technology and neurobiology 🔬.

Professional Profile:

 

🎓 Education :

Omveer Sharma’s educational journey is marked by impressive achievements 📚. He is currently a Post-Doctoral Fellow (2023-24) at the Sagol Department of Neurobiology, University of Haifa, Israel, focusing on computational models for studying GABAergic neurons in bipolar disorder 🧠. He earned his PhD (2022) in Electrical Engineering from IIT Bhubaneswar, specializing in machine and deep learning for autonomous vehicles 🚗. His M.Tech (2017) from Rajasthan Technical University, Kota, was centered on model order reduction of LTI systems ⚡. Omveer’s B.Tech (2013) in Electrical Engineering from the same university involved controlling DC motor speed using fuzzy inference systems 🔧.

🔬 Research Focus:

  • Omveer Sharma’s research focuses on advanced applications of AI and machine learning 🧠💻. His primary areas include modeling lane-changing and turning behavior for autonomous vehicles, trajectory prediction, and collision estimation to enhance driving safety 🚗. He is proficient in time-series classification and prediction, utilizing deep learning methods 📈. His interests also extend to natural language processing (NLP) for understanding and generating human language 🗣️, image processing for health monitoring systems 🏥, and RNA sequencing for gene expression analysis 🔬. Omveer’s diverse expertise contributes significantly to advancements in autonomous driving technology and biomedical research.

👨‍🏫  Work Experience:

  • Omveer Sharma has a rich and diverse work experience 🏆. Currently (2023-2024), he is a Postdoctoral Fellow at the University of Haifa, working on computational models to study GABAergic neurons in bipolar disorder 🧠. From 2022 to 2023, he was a Senior Research Fellow at IIT Bhubaneswar, focusing on identifying model biases for Indian region events 🌏. Earlier in 2022, he worked as a Project Assistant on technological interventions to reduce human-animal conflict 🐾. From 2017 to 2022, Omveer served as a Teaching Assistant in Machine Learning and Control Systems Engineering at IIT Bhubaneswar 🎓..

Publications: