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

🎓 Education

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

💼 Experience

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

🔬 Research Interests

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

🏆 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*

📚Top Noted  Publications

– The impact of the July 2007 heat wave on daily mortality in Belgrade, Serbia ☀️
– Published in Central European Journal of Public Health, 2013
– Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services 📚
– 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 📊
– Published in Metalurgia International, 2013
– Triple modular redundancy optimization for threshold determination in intrusion detection systems 🔒
– Published in Symmetry, 2021
– Determining VLSI array size for one class of nested loop algorithms 🔍
– 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 🏙️
– Published in Symmetry, 2020
– An advanced quick-answering system intended for the e-Government service in the Republic of Serbia 📱
– Published in Acta Polytechnica Hungarica, 2019
– SOSerbia: Android-Based Software Platform for Sending Emergency Messages 📞
– Published in Complexity, 2018
– A multicriteria decision aid-based model for measuring the efficiency of business-friendly cities 🏙️
– Published in Symmetry, 2020
– The design of the personal enemy-MIMLebot as an intelligent agent in a game-based learning environment 🤖
– Published in Acta Polytechnica Hungarica, 2017
– Intelligent agents and game-based learning modules in a learning management system 🤖
– Published in Agent and Multi-Agent Systems, 2016
– Study program selection by aggregated DEA-AHP measure 📊
– Published in Metalurgia International, 2013
– Prediction of important factors for bleeding in liver cirrhosis disease using ensemble data mining approach 💊
– Published in Mathematics, 2020
– Visokotehnološki kriminal 🔍
– Published in 2013
– Challenging ergonomics risks with smart wearable extension sensors 👕
– Published in Electronics, 2022
– Determination of invariant measures: An approach based on homotopy perturbations 🔍
– Published in University Politehnica of Bucharest Scientific Bulletin, 2018
– Different methods for fingerprint image orientation estimation 🔒
– Published in Telecommunications Forum, 2012
– EnCase forenzički alat 🔍
– 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.

Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

Computer Engineering, Tunisia Polytechnic School, Tunisia

This individual is a promising researcher and software engineer with a strong background in computer science. Currently pursuing a PhD in ETIC at Tunisia Polytechnic School, University of Carthage La Marsa, they have a solid foundation in computer engineering from the Tunisian Military Academy. With experience as a software engineer at the Tunisian Ministry of National Defense, they have developed expertise in software development, collaboration, and problem-solving. Their research interests lie at the intersection of technology and innovation, with potential applications in various fields.

Profile

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🎓 Education

– *PhD in ETIC*: Tunisia Polytechnic School, University of Carthage La Marsa, Tunis (2024 – Present)- *Computer Engineering*: Tunisian Military Academy, Fondik Jdid (2020-2023)- *Preparatory Mathematics-Physics*: Tunisian Military Academy, Fondik Jdid (2018-2020)- *Relevant Coursework*: Advanced Learning Algorithms, Artificial Intelligence, Computer Architecture, Database Management, Software Methodology, Project Management Fundamentals

👨‍🔬 Experience

– *Software Engineer*: Tunisian Ministry of National Defense (August 2023 – Present) – Participated in the full software development lifecycle – Collaborated with system engineers, hardware designers, and integration/test engineers – Developed optimized code for specific hardware platforms – Applied Agile development methodologies and object-oriented architectures

🔍 Research Interest

The individual’s research focus is not explicitly stated, but based on their education and experience, they may be interested in exploring topics related to artificial intelligence, computer architecture, and software methodology. Potential research areas could include machine learning, data science, and software engineering.

Awards and Honors🏆

No information is available on awards and honors received by the individual.

📚 Publications 

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models

Développement d’un système de détection des anomalies des cellules sanguines et son utilisation en télémédecine

BloodScan

Conclusion

The candidate shows promise for the Best Researcher Award with their relevant education, professional experience, and technical skills. However, additional research experience, interdisciplinary knowledge, and a stronger publication record would significantly enhance their application. With focused effort in these areas, the candidate could become a strong contender for the award.

Xiang Zhang | Data Science and Deep Learning | Best Researcher Award

Xiang Zhang | Data Science and Deep Learning | Best Researcher Award

Mr. Xiang Zhang, Hainan university, China

Xiang Zhang is a dedicated researcher specializing in resource utilization, plant protection, and ecological remote sensing. He holds a Master’s degree in Resource Utilization and Plant Protection and a Bachelor’s degree in Ecology from Hainan University. His expertise includes terrestrial ecosystem simulation, vegetation monitoring, and global change ecology. Xiang has contributed to mangrove carbon storage estimation, ecological restoration, and satellite image processing. He has worked with Hainan Silan Low Carbon Investment Co., Ltd. and Changguang Satellite Technology Co., Ltd.. A recipient of multiple scholarships, he actively researches carbon sequestration strategies for sustainable ecosystems.

Profile

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Education 🎓

Xiang Zhang pursued his Master’s degree at the Ecological College, specializing in Resource Utilization and Plant Protection 🌱. With an impressive GPA and ranking within the top 5% 📊, he excelled in courses such as Agricultural Product Safety Production, Advanced Experimental Design & Biostatistics, and Ecological Restoration Technologies. His Bachelor’s degree in Ecology 🌿 further strengthened his expertise, where he ranked in the top 20% and gained knowledge in Forestry, Microbiology, GIS, and Ecological Economics. His academic journey reflects a strong foundation in environmental protection, sustainable agriculture, and ecological governance 🌍.

Experience 🧪

Xiang Zhang has actively contributed to mangrove conservation 🌿 through extensive field investigations in key areas of Hainan, including Dongfang, Sanya, Danzhou, Haikou, and Wanning. He conducted soil and plant sampling 🧪, measuring element content, dry weight, and length. Utilizing satellite remote sensing 🛰️, he analyzed data and estimated the carbon ecological value of mangroves in Xinying Port. His expertise includes real-time image collection, manual vegetation recognition, and data mapping using ArcGIS and ENVI. He also worked on cloud removal techniques ☁️ and point interpolation to enhance coastal habitat studies 🌍.

Research Focus 🔍

Xiang Zhang’s research primarily focuses on forest ecology 🌳, soil organic carbon dynamics 🌱, and the impacts of environmental disturbances on ecosystems 🌪️. His studies analyze spatial distribution changes of topsoil organic carbon across different forest types in Hainan Island, exploring key factors influencing carbon storage. Additionally, he investigates gross primary production (GPP) losses and recovery in subtropical mangrove forests affected by tropical cyclones, highlighting the resilience of these ecosystems. His work contributes to climate change adaptation 🌍, carbon sequestration strategies 📉, and forest conservation efforts 🌾, offering valuable insights for sustainable environmental management.

Publications📚

Spatial Distribution Changes and Factor Analysis of Topsoil Organic Carbon Across Different Forest Types on Hainan Island

Evaluating the Losses and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island