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Dr. Mohsen Kahani is a distinguished professor in the field of Computer Science, specializing in areas such as semantic technologies, computational linguistics, process mining, and social media mining. As a faculty member at Ferdowsi University of Mashhad, Iran, he has established himself as a leader in cutting-edge research in web technologies. With an h-index of 17 and over 1,855 citations, his scholarly contributions underscore his expertise and the influence of his research in advancing knowledge in computer science. Dr. Kahani’s work is characterized by its interdisciplinary approach, combining traditional computer science principles with emerging fields like computational psychology and big data analytics.
A significant portion of Dr. Kahani’s research focuses on the development and application of semantic web technologies and natural language processing (NLP). His work in semantic technologies aims to make web data more machine-readable and interconnected, facilitating smarter and more intuitive information systems. In NLP, Dr. Kahani has explored computational methods to analyze, process, and interpret human language, contributing to advancements in machine translation, sentiment analysis, and automated text summarization. His contributions in these areas have been instrumental in bridging the gap between raw data and actionable knowledge.
Dr. Kahani is the founder and director of the Web Technology Laboratory (WTLab) at Ferdowsi University, which has become a hub for innovative research in computer science. The lab conducts cutting-edge studies in information retrieval, social network analysis, process mining, big data, and smart cities. One of WTLab's notable achievements under his leadership was securing fourth place in the TREC2016 international competition for recommender systems. This accolade highlights his ability to lead teams in solving complex computational problems and achieving global recognition.
In addition to his research, Dr. Kahani has played an active role in fostering international collaborations with prestigious institutions such as Ryerson University and the University of Melbourne. These partnerships have expanded the scope and impact of his research, enabling cross-disciplinary and cross-border studies in computer science. His global engagement reflects his commitment to advancing the field not only in Iran but also on the international stage. Through these collaborations, he has mentored students and young researchers, preparing the next generation of computer scientists.
Dr. Kahani’s dedication to education and research has made him a respected figure in the academic community. Beyond his technical contributions, his leadership and vision have shaped WTLab into a center of excellence. By focusing on applied research in areas like process mining and social media mining, he has contributed to real-world solutions for challenges in information systems, data fusion, and smart city initiatives. Through his scientific rigor and innovative mindset, Dr. Mohsen Kahani continues to be a driving force in the evolution of computer science.
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Dr. Mahmoud Naghibzadeh is a distinguished professor in the Department of Computer Engineering at Ferdowsi University of Mashhad, Iran. He earned his B.S. in Statistics and Computer Science from Ferdowsi University, graduating with highest distinction, followed by an M.S. in Computer Science and a Ph.D. in Electrical Engineering (Computer Engineering branch) from the University of Southern California (USC). His academic journey was marked by excellence, receiving a full scholarship for his graduate studies and engaging in postdoctoral research under Professor Jerry M. Mendel at USC.
Throughout his career, Dr. Naghibzadeh has made significant contributions to computer science, particularly in operating system design concepts, distributed systems, and real-time process scheduling. His research interests encompass bioinformatics algorithms, cloud computing, and real-time systems. He has an h-index of 28, with over 4,200 citations, reflecting the impact of his work.
In addition to his research, Dr. Naghibzadeh has authored several books, including "Operating System Concepts and Techniques" and "New Generation Computer Algorithms," contributing to the academic literature in computer science. His dedication to education and research has earned him numerous awards, including the distinguished associate professor award from Ferdowsi University and best paper awards at international conferences.
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Dr. Hosseini Seno earned his Bachelor of Engineering and Master of Engineering degrees in Computer Engineering from Ferdowsi University of Mashhad in 1990 and 1998, respectively. He completed his Ph.D. in Computer Networks at Universiti Sains Malaysia in 2009.
His research interests encompass areas such as the Internet of Vehicles (IoV), Internet of Things (IoT), Software-Defined Networking (SDN), Quality of Service (QoS), and Network Security.
Throughout his career, Dr. Hosseini Seno has held several administrative positions, including:
- Director-in-Charge of the Journal of Computer and Knowledge Engineering (CKE) since 2018.
- Head of the ICT Center at Ferdowsi University of Mashhad since 2016.
- Head of the e-Learning Center from 2011 to 2016.
In addition to his administrative roles, Dr. Hosseini Seno has an extensive publication record, contributing significantly to the fields of computer networks and related technologies.
His work is well-recognized in the academic community, with a Google Scholar profile indicating a substantial number of citations and a notable h-index, reflecting the impact of his research.
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Dr. Mohammad Reza Akbarzadeh Totonchi is a distinguished professor in the Department of Electrical and Computer Engineering at Ferdowsi University of Mashhad (FUM), Iran. He earned his Ph.D. in Evolutionary Optimization and Fuzzy Control of Complex Systems from the University of New Mexico (UNM) in 1998. During his tenure at UNM, from 1996 to 2002, he was affiliated with the NASA Center for Autonomous Control Engineering. Dr. Akbarzadeh has also completed sabbaticals at the Berkeley Initiative on Soft Computing (BISC), UC Berkeley, and served as consulting faculty at Purdue University in 2017. In 2019, he spent a sabbatical at RMIT University in Melbourne, Australia.
His research interests encompass bio-inspired computing, soft computing, multi-agent systems, distributed artificial intelligence, uncertain and complex systems, robotics, cognitive sciences, medical informatics, and biomedical engineering systems. Dr. Akbarzadeh has an h-index of 40, with over 5,600 citations, reflecting the significant impact of his work in these fields. He has authored more than 450 peer-reviewed articles and supervised over 80 theses and dissertations, contributing substantially to the advancement of knowledge in computer science and engineering.
Throughout his career, Dr. Akbarzadeh has received numerous accolades, including the prestigious 2021 Caro Lucas Award for Lifetime Achievement in Control and Intelligent Systems Engineering, the National Outstanding Faculty Award in 2019, and the Islamic Development Bank's Excellent Leadership Award in 2010. He is an active member of the IEEE Technical Committee on Fuzzy Systems, a council member of the International Fuzzy Systems Association (IFSA), and a council member of the Intelligent Systems Scientific Society of Iran (ISSSI). His dedication to research and education has made him a prominent figure in the global academic community.
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Dr. Rahmat Budiarto is a distinguished professor specializing in computer networks and artificial intelligence. He earned his B.Sc. degree from the Bandung Institute of Technology in 1986, followed by M.Eng. and Dr.Eng. degrees in Computer Science from the Nagoya Institute of Technology in 1995 and 1998, respectively.
Throughout his career, Dr. Budiarto has held significant academic and administrative positions. He served as the Deputy Director of the National Advanced IPv6 Center in Malaysia from 2005 to 2009 and chaired the Network Security Working Group at the Asia Pacific Advanced Networks (APAN) between 2006 and 2008. He has been affiliated with institutions such as Universiti Utara Malaysia, where he was a professor in the School of Computing and Director of Research at the InterNetWorks Research Laboratory.
Dr. Budiarto's research interests encompass wireless communications and networks, IPv6, network security, and intelligent systems. He has authored over 250 research papers, contributing significantly to advancements in these fields. His scholarly impact is reflected in his Google Scholar profile, which reports an h-index of 26 and over 3,070 citations.
Currently, Dr. Budiarto is a full professor at the College of Computer Science and IT, Albaha University, Saudi Arabia. His extensive experience and contributions have established him as a leading figure in the domains of computer networks and artificial intelligence.
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Dr. Hossein Nezamabadi-Pour is a distinguished professor in the Department of Electrical Engineering at Shahid Bahonar University of Kerman, Iran.
Born in 1976 in Bam, Iran, he earned his B.S. degree in Electrical Engineering from Shahid Bahonar University of Kerman in 1998, followed by M.S. and Ph.D. degrees in Electrical Engineering from Tarbiat Modares University, Tehran, in 2000 and 2004, respectively.
Dr. Nezamabadi-Pour's research interests encompass Swarm Intelligence, Image Processing, Pattern Recognition, Optical Character Recognition (OCR), and Soft Computing.
He has made significant contributions to the academic community, authoring numerous publications that have garnered over 20,000 citations, reflecting his substantial impact in these fields.
In addition to his research, Dr. Nezamabadi-Pour serves on the editorial boards of several scientific journals, including the "Journal of Computer and Knowledge Engineering," the "Semiannual Journal of Fuzzy Systems and Applications," and the "Journal of Machine Vision and Image Processing."
His work is well-recognized in the academic community, with a Google Scholar profile indicating a substantial number of citations and a notable h-index, reflecting the impact of his research.
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Dr. Majid Fathi is a distinguished professor and director of the Institute of Knowledge Based Systems and Knowledge Management (KBS & KM) at the University of Siegen in Germany. He earned his Master of Science degree in Computer Science in 1986, followed by a Ph.D. in Mechanical Engineering in 1991, both from the University of Dortmund, Germany. In 1998, he achieved his habilitation in Computer Science and Automation from the University of Ilmenau, Germany, with a thesis titled "Computational Intelligence for Technical Applications."
Throughout his career, Dr. Fathi has held various academic positions, including serving as an invited chair professor at the University of Paderborn in 1994 and as a senior researcher at the University of Dortmund from 1991 to 1994. He also held visiting professorships in the United States at institutions such as Florida State University and the Georgia Institute of Technology between 2002 and 2004. In 2004, he returned to Germany to establish the Institute of KBS & KM at the University of Siegen, where he has been leading research in applied knowledge management, knowledge-based systems, and computational intelligence.
Dr. Fathi's research interests focus on the application of knowledge management and intelligent systems in fields such as medicine and mechanical engineering. He has contributed significantly to the development of computational intelligence methodologies for technical applications, emphasizing the integration of knowledge-based systems to enhance decision-making processes. His work has been recognized internationally, and he continues to lead advancements in knowledge management and intelligent system applications.
For more detailed information about Dr. Fathi's academic profile and contributions, you can visit his university page at the University of Siegen.
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Dr. Ahmad Ghafarian is a professor of computer science in the Mike Cottrell College of Business at the University of North Georgia (UNG), where he has been educating students for over two decades. He holds a Ph.D. in Computer Science from the University of Glasgow, UK, obtained in 1982, and a B.S. in Mathematics from Ferdowsi University of Mashhad, Iran, completed in 1970. Further enhancing his expertise, Dr. Ghafarian completed postdoctoral studies in Information Security at the University of Maryland University College in 2007 and earned a Graduate Certificate in Information Security from Purdue University in 2003.
Throughout his tenure at UNG, Dr. Ghafarian has taught a wide array of courses at both undergraduate and graduate levels, focusing on subjects such as Information Security, Computer Forensics, Network Security, and various programming languages. His research interests are centered on computer forensics, malware detection and analysis, cloud computing security, and the security and privacy of online social media networking. He has an extensive publication record, contributing significantly to the fields of cybersecurity and computer science education.
In recognition of his dedication to teaching excellence, Dr. Ghafarian was selected as a Governor's Teaching Fellow for the 2018-19 Academic Year Symposium, a program established by former Governor Zell Miller to provide Georgia's higher education faculty with expanded opportunities for developing teaching skills. Additionally, he has been involved in research aimed at helping social media users secure their information, reflecting his commitment to addressing contemporary challenges in information security.
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Dr. Yaghmaee Moghaddam's research interests encompass various aspects of computer networking, including the Internet of Things (IoT), Smart Grid Communication, Software-Defined Networking (SDN), Network Function Virtualization (NFV), Quality of Service (QoS), Resource Management, and Edge/Fog/Cloud Computing. He has been recognized for his contributions to the field, notably being awarded the title of Best Researcher at the Faculty of Engineering, Ferdowsi University of Mashhad, in 2007.
In addition to his research, Dr. Yaghmaee Moghaddam has an extensive publication record, with his work receiving over 4,400 citations, reflecting his significant impact in the academic community. He is also an IEEE Senior Member and serves as the head of the IP-PBX type approval lab at Ferdowsi University.
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Dr. Hossein Asadi is a distinguished computer engineer specializing in data storage systems, computer architecture, and high-performance computing. He has deep expertise in critical areas such as storage system design, hybrid memory systems, fault-tolerant computing, and power-efficient architectures. His pioneering research has led to the development of cutting-edge storage solutions, including advanced Solid-State Drives (SSDs), error-tolerant memory systems, and high-speed data processing techniques. Dr. Asadi’s work emphasizes performance optimization, reliability, and scalability, making significant contributions to the field of computer engineering and addressing challenges in modern computing environments.
As the founder and director of the Data Storage, Networks, and Processing (DSN) laboratory at Sharif University of Technology, Dr. Asadi has transformed theoretical advancements into practical innovations. His lab is globally recognized for its research on hybrid storage systems, memory hierarchy optimization, and operating system integration. Dr. Asadi’s contributions extend to virtualization technologies and the development of algorithms for efficient data processing and system-level design. His technical expertise in simulation, modeling, and architectural analysis has positioned him as a leader in advancing the performance and reliability of storage and computing systems. These advancements have practical applications in data centers, cloud computing, and large-scale enterprise storage.
In addition to his research, Dr. Asadi has shared his knowledge through collaborations with international institutions such as Johannes Gutenberg University Mainz and École Polytechnique Fédérale de Lausanne (EPFL). His prolific academic output includes over 100 high-impact publications in renowned journals and conferences, earning him accolades like the Best Paper Award at the IEEE/ACM Design, Automation, and Test in Europe (DATE) conference. Dr. Asadi’s technical achievements, combined with his dedication to mentoring the next generation of researchers, have solidified his reputation as a visionary in computer engineering, particularly in the areas of data storage architecture and high-performance computing systems.
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Dr. Hadi Sadoghi Yazdi is a full professor in the Department of Computer Engineering at Ferdowsi University of Mashhad (FUM), Iran, and a prominent faculty member at the Center of Excellence on Soft Computing and Intelligent Information Processing. His expertise lies in advanced fields such as machine learning, pattern recognition, signal processing, and image processing. Throughout his career, he has contributed extensively to these areas, with over 130 peer-reviewed conference and journal articles that highlight his innovative approaches to complex computational problems.
Dr. Sadoghi Yazdi’s research is recognized globally, as reflected in his strong citation metrics. His work has been cited more than 3,200 times, with an h-index of 28 and an i10-index of 99, showcasing the impact and relevance of his contributions to the academic and research community. His technical expertise spans programming languages like C, MATLAB, and Python, which he has applied to diverse applications such as EEG signal classification, MRI image segmentation, and hyperspectral image analysis. His pioneering projects also include the development of intelligent systems for traffic scene analysis and interactive wall technologies.
In addition to his research achievements, Dr. Sadoghi Yazdi has demonstrated a strong commitment to education and mentorship. He has supervised numerous master’s and Ph.D. theses, fostering the development of the next generation of researchers and innovators in computing and intelligent systems. His contributions extend beyond academia, as he has participated in collaborative projects that bridge the gap between theoretical advancements and practical implementations. Through his impactful research, teaching, and project involvement, Dr. Sadoghi Yazdi has established himself as a leading figure in computational intelligence and advanced signal processing.
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Dr. Dick H.J. Epema is an emeritus professor in Distributed Systems at Delft University of Technology (TU Delft) in the Netherlands. He earned his MSc in Mathematics from Leiden University in 1979, followed by a PhD in Mathematics (Algebraic Geometry) from the same institution in 1983. In 1988, he obtained an MSc in Computer Science from TU Delft. Dr. Epema began his tenure at TU Delft in 1984, serving as an assistant and associate professor before becoming a full professor in 2015. He also held a part-time professorship at Eindhoven University of Technology from 2011 to 2016.
Throughout his career, Dr. Epema has made significant contributions to the fields of distributed systems, cloud computing, big-data processing, cooperative systems, and blockchain technology. His research interests include scheduling in distributed computing systems such as grids, clusters, clouds, and datacenters, as well as cooperative systems like peer-to-peer networks and online social networks. He has authored over 140 scientific papers and has been involved in numerous research projects funded by organizations such as NWO, the EU, and the Dutch government.
In addition to his research, Dr. Epema has been active in the academic community through various editorial and leadership roles. He served as an associate editor for the IEEE Transactions on Parallel and Distributed Systems and the IEEE Transactions on Cloud Computing. He has also chaired and co-chaired several international conferences, including the ACM Symposium on High-Performance Parallel and Distributed Computing and the IEEE/ACM Symposium on Cluster, Cloud, and Grid Computing. Dr. Epema's dedication to research and education has left a lasting impact on the field of computer science.
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