Prof. Dragan Randelovic | Machine learning | Innovative Research Award

Prof. Dragan Randelovic | Machine learning | Innovative Research Award

Full professor at Faculty for diplomacy and security, University Uniin Nikola Tesla Belgrade,Serbia,

Prof. Dr. Dragan Randjelovic is a renowned full professor at the University Union Nikola Tesla, Faculty of Diplomacy and Security. With over 45 years of research experience, he has made significant contributions to the field of information technology and computer science.

Professional Profile

scholar

๐ŸŽ“ Education

– *PhD*, Faculty of Science and Mathematics, University of Pristina (1999)- *Master’s Degree*, Faculty of Electronics, University of Niลก (1984)- *Bachelor’s Degree*, Faculty of Electronics, University of Niลก (1977)

๐Ÿ’ผ Experience

– *PhD*, Faculty of Science and Mathematics, University of Pristina (1999)- *Master’s Degree*, Faculty of Electronics, University of Niลก (1984)- *Bachelor’s Degree*, Faculty of Electronics, University of Niลก (1977)

๐Ÿ”ฌ Research Interests

Prof. Randjelovic’s research focuses on:- *Information Technology*: software engineering, computer science- *Computer Science*: informatics, decision-making

๐Ÿ† Awards

– *Published over 15 university textbooks*- *Over 300 references, 40 registered on Web of Science*- *Over 400 citations on Google Scholar, h-index and i-index over 10*

๐Ÿ“šTop Notedย  Publications

– The impact of the July 2007 heat wave on daily mortality in Belgrade, Serbia โ˜€๏ธ
– Published in Central European Journal of Public Health, 2013
– Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services ๐Ÿ“š
– Published by Information Science Reference, 2015
– A framework for delivering e-government support ๐Ÿค
– Published in Acta Polytechnica Hungarica, 2014
– Weight coefficients determination based on parameters in factor analysis ๐Ÿ“Š
– Published in Metalurgia International, 2013
– Triple modular redundancy optimization for threshold determination in intrusion detection systems ๐Ÿ”’
– Published in Symmetry, 2021
– Determining VLSI array size for one class of nested loop algorithms ๐Ÿ”
– Published in Advances in Computer and Information Sciences, 1998
– Use of determination of the importance of criteria in business-friendly certification of cities as sustainable local economic development planning tool ๐Ÿ™๏ธ
– Published in Symmetry, 2020
– An advanced quick-answering system intended for the e-Government service in the Republic of Serbia ๐Ÿ“ฑ
– Published in Acta Polytechnica Hungarica, 2019
– SOSerbia: Android-Based Software Platform for Sending Emergency Messages ๐Ÿ“ž
– Published in Complexity, 2018
– A multicriteria decision aid-based model for measuring the efficiency of business-friendly cities ๐Ÿ™๏ธ
– Published in Symmetry, 2020
– The design of the personal enemy-MIMLebot as an intelligent agent in a game-based learning environment ๐Ÿค–
– Published in Acta Polytechnica Hungarica, 2017
– Intelligent agents and game-based learning modules in a learning management system ๐Ÿค–
– Published in Agent and Multi-Agent Systems, 2016
– Study program selection by aggregated DEA-AHP measure ๐Ÿ“Š
– Published in Metalurgia International, 2013
– Prediction of important factors for bleeding in liver cirrhosis disease using ensemble data mining approach ๐Ÿ’Š
– Published in Mathematics, 2020
– Visokotehnoloลกki kriminal ๐Ÿ”
– Published in 2013
– Challenging ergonomics risks with smart wearable extension sensors ๐Ÿ‘•
– Published in Electronics, 2022
– Determination of invariant measures: An approach based on homotopy perturbations ๐Ÿ”
– Published in University Politehnica of Bucharest Scientific Bulletin, 2018
– Different methods for fingerprint image orientation estimation ๐Ÿ”’
– Published in Telecommunications Forum, 2012
– EnCase forenziฤki alat ๐Ÿ”
– Published in Bezbednost, 2009

Conclusion

 

Prof. Dr. Dragan Randjelovic’s extensive research experience, prolific publication record, leadership roles, editorial board membership, and mentorship make him a strong candidate for the Best Researcher Award. By emphasizing interdisciplinary collaboration and international collaboration, he could further strengthen his application and demonstrate his potential for continued excellence in research.

Prof. JinAn XU | Deep Learning | Best Researcher Award

Prof. JinAn XU | Deep Learning | Best Researcher Award

The Head of Research Institute of Large Scale Data and NLP, Beijing Jiaotong University, China

Prof. JinAn Xu is a renowned researcher in the field of Natural Language Processing (NLP), Machine Translation (MT), and Large Language Models (LLMs). With a strong background in computer science, Prof. Xu has published numerous papers in top-tier conferences and journals. Currently, Prof. Xu is working at Beijing Jiaotong University as a professor.

Profile

scholar

๐ŸŽ“ Education

Ph.D. from Hokkaido University, Japan (2001-2006) ๐Ÿ“šย Undergraduate degree from North Jiaotong University (1988-1992)

๐Ÿ‘จโ€๐Ÿ”ฌ Experience

– Professor, Beijing Jiaotong University (2018-present) ๐Ÿ‘จโ€๐Ÿซ– Associate Professor, Beijing Jiaotong University (2009-2018) ๐Ÿ“š– Researcher, NEC Research Center, NLP LAB (2006-2009) ๐Ÿ”ฌ– Engineer, The Fourth Survey and Design Institute of the Ministry of Railway (1992-1999

๐Ÿ” Research Interest

– Natural Language Processing (NLP) ๐Ÿค–– Machine Translation (MT) ๐ŸŒŽ– Large Language Models (LLMs) ๐Ÿ“ˆ– Knowledge Graphs (KG)

๐Ÿ†Awards and Honors

– CCF Outstanding Member ๐ŸŒŸ

๐Ÿ“š Publications

1. “A Variational Hierarchical Model for Neural Cross-Lingual Summarization” ๐Ÿ“„
2. “Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation” ๐Ÿค–
3. “MSCTD: A Multimodal Sentiment Chat Translation Dataset” ๐Ÿ’ฌ
4. “Scheduled Multitask Learning for Neural Chat Translation” ๐Ÿ“ฑ
5. “Saliency as Evidence: Event Detection with Trigger Saliency Attribution” ๐Ÿ”

Conclusion

Prof. JinAn Xu is a highly accomplished researcher with a strong publication record, research impact, and diverse research interests. Their leadership and experience make them an excellent candidate for the Best Researcher Award. With some potential areas for improvement, Prof. Xu’s achievements and contributions make them a strong contender for this award.