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

πŸŽ“ Education

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

πŸ’Ό Experience

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

πŸ”¬ Research Interests

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

πŸ† 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*

πŸ“šTop NotedΒ  Publications

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

πŸŽ“ Education

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

πŸ‘¨β€πŸ”¬ Experience

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

πŸ” Research Interest

– Natural Language Processing (NLP) πŸ€–– Machine Translation (MT) 🌎– Large Language Models (LLMs) πŸ“ˆ– Knowledge Graphs (KG)

πŸ†Awards and Honors

– CCF Outstanding Member 🌟

πŸ“š Publications

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

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.