Hossein Nematzadeh | Computer Science | Best Researcher Award

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Dr. Hossein Nematzadeh | Computer Science | Best Researcher Award

Assist Prof at Universidad de Malaga, Spain

Dr. Hossein Nematzadeh is an accomplished researcher and academic with a Ph.D. in Computer Science from the University of Technology, Malaysia. He is currently an Assistant Professor at the Modern College of Business and Science in Oman, with prior experience as a researcher at Universidad de Málaga, Spain, and an assistant professor at Islamic Azad University, Iran. His research interests span Data Science, Artificial Intelligence, Cryptography, and Software Engineering, with a particular focus on explainable AI, feature selection, evolutionary algorithms, and image encryption. Dr. Nematzadeh has published extensively in high-impact journals, contributing to advancements in AI and machine learning. He is also an experienced educator, having taught a wide array of computer science courses at various academic levels. With expertise in technologies like Python, MATLAB, and AWS, he is committed to both advancing research and mentoring the next generation of computer scientists.

Professional Profile 

Education

Dr. Hossein Nematzadeh has a strong academic foundation in Computer Science, having completed his Ph.D. at the University of Technology, Malaysia in 2014. Prior to his doctoral studies, he earned his Master’s degree from the same institution in 2009, further solidifying his expertise in the field. Dr. Nematzadeh also holds a Bachelor’s degree from Mazandaran University of Science and Technology, obtained in 2007. His educational journey reflects a deep commitment to the study of computer science, particularly in areas such as Artificial Intelligence, Data Science, and Cryptography. Throughout his academic career, he has gained a robust understanding of both theoretical and practical aspects of the field, which has informed his subsequent research and teaching. This solid educational background, combined with his ongoing research contributions, enables him to be a leader in his academic and professional endeavors.

Professional Experience

Dr. Hossein Nematzadeh has extensive professional experience in academia and research. He is currently serving as an Assistant Professor at the Modern College of Business and Science in Oman, where he teaches and supervises students in the field of Computer Science. Prior to this role, he was a researcher at Universidad de Málaga in Spain from 2021 to 2024, contributing to several high-impact research projects in Artificial Intelligence and Data Science. From 2012 to 2021, he served as an Assistant Professor at Islamic Azad University in Iran, where he taught various computer science courses and engaged in research activities. Throughout his career, Dr. Nematzadeh has built a reputation as both an educator and a researcher, publishing extensively in leading journals and presenting his work in international forums. His expertise spans across Data Science, Artificial Intelligence, and Cryptography, making him a prominent figure in these fields.

Research Interest

Dr. Hossein Nematzadeh’s research interests lie at the intersection of Data Science, Artificial Intelligence, Cryptography, and Software Engineering. He is particularly focused on developing advanced techniques in explainable AI, feature selection, and noise detection, with an emphasis on making AI models more interpretable and reliable. His work in evolutionary algorithms and fuzzy logic explores ways to optimize decision-making processes and improve system performance. Dr. Nematzadeh is also passionate about cryptography, specifically in areas such as image encryption, which contributes to enhancing data security in digital environments. Additionally, he has a strong interest in software engineering, with research dedicated to verification and validation processes, as well as the application of Petri nets to model and analyze complex systems. His research aims to push the boundaries of AI and machine learning, providing solutions to both theoretical and practical challenges in these rapidly evolving fields.

Award and Honor

Dr. Hossein Nematzadeh has earned recognition for his contributions to research and academia throughout his career. He has received several honors for his work in the fields of Data Science, Artificial Intelligence, and Cryptography, particularly for his research on explainable AI and feature selection methods. Dr. Nematzadeh’s scholarly impact is reflected in his publications in prestigious journals such as Engineering Applications of Artificial Intelligence and Knowledge-Based Systems. His work has been widely cited, demonstrating the influence of his research on the scientific community. In addition to his academic accomplishments, Dr. Nematzadeh has been actively involved in mentoring students and contributing to the advancement of his field through teaching and supervision. His dedication to fostering new talent in Computer Science and his continuous pursuit of research excellence have earned him respect within academic circles, making him a highly regarded figure in the global academic and research community.

Publications Top Noted

  • Title: Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices
    Authors: H Nematzadeh, R Enayatifar, H Motameni, FG Guimarães, VN Coelho
    Year: 2018
    Cited by: 157
  • Title: A hybrid feature selection method based on information theory and binary butterfly optimization algorithm
    Authors: Z Sadeghian, E Akbari, H Nematzadeh
    Year: 2021
    Cited by: 116
  • Title: Heuristic filter feature selection methods for medical datasets
    Authors: M Alirezanejad, R Enayatifar, H Motameni, H Nematzadeh
    Year: 2020
    Cited by: 78
  • Title: Binary search tree image encryption with DNA
    Authors: H Nematzadeh, R Enayatifar, M Yadollahi, M Lee, G Jeong
    Year: 2020
    Cited by: 72
  • Title: Frequency based feature selection method using whale algorithm
    Authors: H Nematzadeh, R Enayatifar, M Mahmud, E Akbari
    Year: 2019
    Cited by: 66
  • Title: Emergency role-based access control (E-RBAC) and analysis of model specifications with alloy
    Authors: F Nazerian, H Motameni, H Nematzadeh
    Year: 2019
    Cited by: 52
  • Title: Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network
    Authors: M Asghari, H Nematzadeh
    Year: 2016
    Cited by: 51
  • Title: A novel image security technique based on nucleic acid concepts
    Authors: M Yadollahi, R Enayatifar, H Nematzadeh, M Lee, JY Choi
    Year: 2020
    Cited by: 33
  • Title: Mapping to convert activity diagram in fuzzy UML to fuzzy petri net
    Authors: H Motameni, A Movaghar, I Daneshfar, H Nemat Zadeh, J Bakhshi
    Year: 2008
    Cited by: 30
  • Title: Automatic ensemble feature selection using fast non-dominated sorting
    Authors: S Abasabadi, H Nematzadeh, H Motameni, E Akbari
    Year: 2021
    Cited by: 28
  • Title: A mixed solution-based high agreement filtering method for class noise detection in binary classification
    Authors: M Samami, E Akbari, M Abdar, P Plawiak, H Nematzadeh, ME Basiri, …
    Year: 2020
    Cited by: 24
  • Title: Comparison of Decision Tree Methods in Classification of Researcher’s Cognitive Styles in Academic Environment
    Authors: ZN Balagatabi, R Ibrahim, HN Balagatabi
    Year: 2015
    Cited by: 24

Siliang Ma | Computer Science | Best Researcher Award

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Dr. Siliang Ma | Computer Science | Best Researcher Award

Senior Algorithm Engineer at School of Computer Science and Engineering, South China University of Technology, China

Dr. Siliang Ma, a Ph.D. candidate at South China University of Technology, is an accomplished researcher specializing in computer science with a focus on image processing and machine learning. With an excellent academic record, including a bachelor’s degree from South China Agricultural University (GPA: 3.99/5), Dr. Ma has made significant contributions to cutting-edge research. His works, published in esteemed journals such as Acta Automatica Sinica and Image and Vision Computing, address topics like calligraphy character recognition, multilingual scene text spotting, and efficient bounding box regression through novel loss functions like MPDIoU and FPDIoU. A skilled programmer proficient in Python, Java, and C#, he has developed robust image processing algorithms and software applications. Dr. Ma also contributes as a reviewer for leading conferences like ICRA and ICASSP, reflecting his commitment to advancing the research community. His innovative and impactful work positions him as a rising talent in computational science.

Professional Profile 

Education

Dr. Siliang Ma has a strong educational background in computer science and engineering. He is currently pursuing a Ph.D. at the South China University of Technology, where he has maintained an excellent GPA of 86.33/100. His doctoral research focuses on cutting-edge topics in image processing, machine learning, and computational algorithms, demonstrating both theoretical depth and practical relevance. Prior to this, Dr. Ma earned his bachelor’s degree from South China Agricultural University, graduating with a remarkable GPA of 3.99/5. His undergraduate studies in mathematics and informatics laid a solid foundation for his advanced research pursuits, equipping him with the analytical and technical skills essential for solving complex computational problems. Through rigorous academic training and dedication, Dr. Ma has excelled in his education, which is further reflected in his extensive publications in high-impact journals and his active engagement in academic conferences and peer reviews.

Professional Experience

Dr. Siliang Ma has gained valuable professional experience through diverse roles in research and industry, complementing his academic achievements. He interned as a Data Analyst at the China Construction Bank Guangdong Branch Technology Center, where he conducted financial data analysis using PostgreSQL, mastering database operations and complex linked table queries. As a Quality Engineer at the China Mobile Guangdong Branch Business Support Center, he developed a JavaWeb-based minimum feature set for user registration, login, and management, and implemented automated quality testing workflows using Jenkins. These roles allowed Dr. Ma to hone his skills in software development, data analysis, and quality assurance, showcasing his ability to translate theoretical knowledge into practical applications. Additionally, his expertise in programming and image processing has led to impactful contributions in academia, particularly in algorithm development. This blend of industrial and research experience positions Dr. Ma as a versatile professional in computer science and engineering.

Research Interest

Dr. Siliang Ma’s research interests lie at the intersection of computer vision, machine learning, and image processing. He is particularly focused on developing innovative algorithms and techniques for efficient and accurate object detection, scene text recognition, and character recognition. His work explores advanced loss functions, such as MPDIoU and FPDIoU, to optimize bounding box regression for both traditional and rotated object detection. Additionally, Dr. Ma has a keen interest in multilingual scene text spotting, where he leverages character-level features and benchmarks to improve the accuracy of text recognition across diverse languages. His research extends to robust graph learning and hypergraph-enhanced self-supervised models for social recommendation systems, showcasing his ability to address complex, real-world challenges. Through his work, Dr. Ma aims to bridge theoretical advancements with practical applications, contributing to the broader fields of artificial intelligence, data analysis, and computational optimization.

Award and Honor

Dr. Siliang Ma has been recognized for his academic and research excellence through various accolades and contributions. As a Ph.D. candidate at South China University of Technology, his consistent high performance, reflected in his impressive GPA, underscores his dedication to academic rigor. Although specific awards or honors are not explicitly listed in his profile, his role as a reviewer for prestigious conferences such as ICRA and ICASSP highlights his esteemed position within the research community. Dr. Ma’s impactful publications in top-tier journals and conferences, including Acta Automatica Sinica and Image and Vision Computing, further demonstrate the high regard in which his work is held. His innovative contributions to image processing and machine learning have earned him recognition as a rising talent in his field. These achievements reflect Dr. Ma’s commitment to advancing computational science and his growing influence in academic and professional circles.

Conclusion

Siliang Ma is a strong candidate for the Best Researcher Award due to his impressive academic record, significant publications, and technical expertise. His contributions to advanced image processing algorithms and innovative loss functions for object detection demonstrate technical ingenuity and research excellence. To further strengthen his profile, he could expand his research impact through interdisciplinary work, mentorship roles, and greater industry engagement.

Publications Top Noted

  • Title: FPDIoU Loss: A loss function for efficient bounding box regression of rotated object detection
    Authors: Siliang Ma, Yong Xu
    Year: 2024
    Citation: Ma, S., & Xu, Y. (2024). FPDIoU Loss: A loss function for efficient bounding box regression of rotated object detection. Image and Vision Computing. https://doi.org/10.1016/j.imavis.2024.105381
  • Title: Rethinking Multilingual Scene Text Spotting: A Novel Benchmark and a Character-Level Feature Based Approach
    Authors: Siliang Ma, Yong Xu
    Year: 2024
    Citation: Ma, S., & Xu, Y. (2024). Rethinking Multilingual Scene Text Spotting: A Novel Benchmark and a Character-Level Feature Based Approach. American Journal of Computer Science and Technology. https://doi.org/10.11648/j.ajcst.20240703.12

Sarra Jebri | Computer Science | Best Researcher Award

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Dr. Sarra Jebri | Computer Science | Best Researcher Award

Assistant professor of National Engineering School of Gabes, Tunisia

Sarra Jebri is an accomplished researcher and educator with a robust background in telecommunications. She earned her PhD from Ecole Nationale d’Ingénieurs de Tunis, specializing in IoT security and privacy, and has a comprehensive educational foundation that includes a National Diploma of Engineering and a Master’s in Instrumentation and Communication. Her professional experience includes significant teaching roles at the National School of Engineers in Gabès, reflecting her expertise in the field. Jebri’s research focuses on critical areas such as security, mutual authentication, and IoT, with several influential publications presented at international conferences. 🌟🌿🔬

Professional profile

Education📚

Sarra Jebri holds a PhD in Telecommunications from Ecole Nationale d’Ingénieurs de Tunis (ENIT) with a focus on Internet of Things (IoT) security and privacy. Her academic journey includes a National Diploma of Engineering in Communications and Networks from Ecole Nationale d’Ingénieurs de Gabès (ENIG), where she studied IPTV services, and a Master’s degree in Instrumentation and Communication from the Faculty of Sciences of Sfax, focusing on information system design. She also has a Bachelor’s Degree in Mathematics. Her diverse educational background underscores her strong foundation in telecommunications and related fields, preparing her well for research excellence.

Professional Experience🏛️

Sarra Jebri has extensive teaching experience in telecommunications, having served as a Contractual Teacher at the National School of Engineers in Gabès from 2020 to 2024 and as a Vacant Teacher from 2014 to 2019. This teaching experience, combined with her practical knowledge in the field, demonstrates her capability in both academic and applied research environments.

Research Interest🌐

Sarra Jebri’s research focuses on security, mutual authentication, privacy, and IoT. Her recent publications include notable works such as “Local Learning-based Collaborative Authentication In Edge-Fog Network” and “Light Automatic Authentication of Data Transmission in 6G/IoT Healthcare System,” presented at prestigious international conferences. Her research contributions are recognized through multiple conference papers, indicating a strong engagement with current challenges in her field.

Certifications🏆

Jebri has obtained several certifications, including Cisco and Huawei networking and security qualifications, and has strong programming skills in C, C++, Java, and Matlab. Her certifications reflect her ongoing commitment to professional development and her ability to apply theoretical knowledge in practical scenarios.

Publications top noted📜

Anup Burange | Computer Science | Best Researcher Award

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Dr. Anup Burange | Computer Science | Best Researcher Award

Assistant Professor of Prof. Ram Meghe Institute of Technology & Research, Badnera, India

Dr. Anup W. Burange is an esteemed academic based in Amravati, Maharashtra, India. He serves as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research 👩‍🏫. With a Ph.D. in Computer Science & Engineering from SGB Amravati University 🎓, he excels in teaching core IT subjects and has published around 20 articles 📚. As a departmental Training & Placement coordinator, he has engaged over 50 companies for campus placements 🎓. Dr. Burange’s dedication is reflected in consistently high student evaluations 📈 and his extensive technical expertise 🤖📊.

Professional profile
Education📚

Dr. Anup W. Burange has an impressive educational background in the field of Information Technology. He earned his Ph.D. in Computer Science & Engineering from SGB Amravati University in February 2024 🎓. Prior to that, he completed his Master of Engineering in Information Technology at Prof. Ram Meghe Institute of Technology & Research, Amravati, Maharashtra, in June 2014, achieving an aggregate pointer of 8.38 🎓. He also holds a Bachelor of Engineering degree in Information Technology from Sipna’s College of Engineering & Technology, Amravati University, Maharashtra, which he completed in June 2011 with an aggregate of 69.14% 🎓. Dr. Burange’s academic journey began with his Higher Secondary Certificate (HSC) from the Maharashtra State Board, where he scored 73% 📜, followed by his Secondary School Certificate (SSC) from the same board, with a score of 76.66% 📜

Professional Experience🏛️

Dr. Anup W. Burange has extensive professional experience as an Assistant Professor in the IT department at Prof Ram Meghe Institute of Technology & Research in Badnera-Amravati, Maharashtra, India, a position he has held since November 2011 👩‍🏫. He teaches core IT subjects such as Computer Architecture & Organization, Operating Systems, and various programming languages (C, C++, Java, Python) 📚. As the departmental Training & Placement coordinator since 2014, Dr. Burange has successfully engaged over 50 companies for campus placements 🎓. He consistently receives high student evaluations, with scores exceeding 85% over the past four years 📈. Additionally, he has published about 20 articles in reputed journals and guided more than 50 students in their final year projects 👨‍💻. He also served as a masking officer for end semester examinations 📝.

Research Interest🌐

Dr. Anup W. Burange’s research interests lie in the realms of Information Technology and Computer Science, with a strong focus on emerging technologies. He is deeply engaged in exploring advancements in Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊. His work also delves into the development and optimization of programming languages like C, C++, Java, and Python 🐍. Dr. Burange is passionate about enhancing educational methodologies and integrating innovative technological solutions in IT education 🎓. His commitment to research is reflected in his numerous publications and contributions to reputable journals 📚.

Awards and Honors🏆

Dr. Anup W. Burange has been recognized for his exemplary contributions to academia and research with several awards and honors 🏆. He has consistently achieved student evaluations exceeding 85% over the past four years, highlighting his dedication to teaching excellence 📈. As a testament to his research prowess, Dr. Burange has published approximately 20 articles in well-reputed journals 📚. His efforts in facilitating campus placements have also been commendable, successfully engaging over 50 companies for Prof Ram Meghe Institute of Technology & Research 🎓. Dr. Burange’s accolades reflect his commitment to advancing the field of Information Technology and education.

Research skill🔬

Dr. Anup W. Burange possesses a robust set of research skills in the field of Information Technology and Computer Science. He is proficient in Artificial Intelligence 🤖 and Machine Learning 📈, with a keen ability to apply these technologies to real-world problems. Dr. Burange excels in programming languages such as C, C++, Java, and Python 🐍, leveraging these skills for data analysis and algorithm development. His expertise extends to Data Science 📊, where he employs statistical methods and data visualization techniques. Dr. Burange is also adept at academic writing and publishing, with around 20 articles in reputed journals 📚, showcasing his ability to conduct and disseminate impactful research.

Achievements🏅
  • 🏆 High Student Evaluation Scores: Consistently received student evaluations exceeding 85% over the past four years 📈.
  • 🎓 Successful Campus Placements: Engaged over 50 companies for campus placements at Prof Ram Meghe Institute of Technology & Research.
  • 📚 Research Publications: Published around 20 articles in well-reputed journals, contributing significantly to the field of Information Technology.
  • 👨‍💻 Guided Final Year Projects: Supervised more than 50 student final year projects, focusing on innovative IT solutions and technologies.
  • 📝 Academic Leadership: Served as a masking officer for end semester examinations, demonstrating leadership and organizational skills.
Projects🛠️
  • 🧑‍💻 Student Final Year Projects: Guided over 50 student projects on topics such as Artificial Intelligence 🤖, Machine Learning 📈, and Data Science 📊.
  • 💻 Programming Solutions Development: Worked on projects involving optimization and development using programming languages like C, C++, Java, and Python 🐍.
  • 📊 Data Visualization Tools: Developed tools for effective data visualization and analysis.
  • 🕵️‍♂️ Real-Time Detection Systems: Contributed to projects involving real-time detection and monitoring systems.
  • 📚 Educational Methodologies: Implemented innovative approaches to enhance IT education and practical learning experiences.
Publications📜
  • Article
    Title: Safeguarding the Internet of Things: Elevating IoT routing security through trust management excellence
    Authors: Burange, A.W., Deshmukh, V.M., Thakare, Y.A., Shelke, N.A.
    Journal: Computer Standards and Interfaces
    Year: 2025
    Citations: 0 🔍
  • Book Chapter
    Title: Different Security Breaches in Patients’ Data and Prevailing Ways to Counter Them
    Authors: Burange, A.W., Deshmukh, V.M.
    Book: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
    Year: 2024
    Pages: 149–159
    Citations: 0 🔍
  • Article
    Title: Securing IoT Attacks: A Machine Learning Approach for Developing Lightweight Trust-Based Intrusion Detection System
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: International Journal on Recent and Innovation Trends in Computing and Communication
    Year: 2023
    Volume: 11(7), pp. 14–22
    Citations: 0 🔍
  • Article
    Title: Trust based secured Routing system for low powered networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Journal: Journal of Integrated Science and Technology
    Year: 2023
    Volume: 11(1), 431
    Citations: 2 🔍
  • Conference Paper
    Title: Detection of Rank, Sybil and Wormhole Attacks on RPL Based Network Using Trust Mechanism
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: CEUR Workshop Proceedings
    Year: 2021
    Volume: 3283, pp. 152–162
    Citations: 1 🔍
  • Conference Paper
    Title: Secured Routing System for Low Energy Networks
    Authors: Burange, A.W., Deshmukh, V.M.
    Conference: Lecture Notes in Networks and Systems
    Year: 2021
    Volume: 164, pp. 165–173
    Citations: 0 🔍
  • Conference Paper
    Title: Implementation of security algorithm and achieving energy efficiency for increasing lifetime of wireless sensor network
    Authors: Misalkar, H., Nikam, U., Burange, A.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 298–307
    Citations: 0 🔍
  • Conference Paper
    Title: Security in MQTT and CoAP Protocols of IoT’s application layer
    Authors: Burange, A., Misalkar, H., Nikam, U.
    Conference: Communications in Computer and Information Science
    Year: 2019
    Volume: 839, pp. 273–285
    Citations: 2 🔍
  • Conference Paper
    Title: Increasing lifespan and achieving energy efficiency of wireless sensor network
    Authors: Misalkar, H.D., Burange, A.W., Nikam, U.V.
    Conference: 2016 International Conference on Information Communication and Embedded Systems (ICICES 2016)
    Year: 2016
    Citations: 3 🔍
  • Conference Paper
    Title: Review of Internet of Things in development of smart cities with data management & privacy
    Authors: Burange, A.W., Misalkar, H.D.
    Conference: 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA 2015)
    Year: 2015
    Pages: 189–195
    Citations: 48 🔍