Arezoo Saedi | Computer Engineering | Best Researcher Award

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Ms. Arezoo Saedi | Computer Engineering | Best Researcher Award

PhD student at University of Isfahan, Iran.

Arezoo Saedi is a PhD candidate in Computer Science and Software Engineering at the University of Isfahan, Iran. She holds an MSc and BSc in Computer Science from the same institution. Her research interests encompass Natural Language Processing, Information Retrieval, Dialogue Systems, Question Answering, Machine and Deep Learning, and Information Science. Arezoo possesses extensive proficiency in programming languages such as Python, Java, and C/C++, frameworks including TensorFlow and PyTorch, and database management systems like MySQL, MongoDB, Cassandra, Oracle Database, SQLite, and Neo4j. She is adept in operating systems such as Ubuntu, Windows, and macOS, and demonstrates strong skills in problem-solving, teamwork, and document preparation using LaTeX, Microsoft Word, and Google Docs. Arezoo is fluent in English, proficient in Farsi, and a native speaker of Kurdish.

Professional Profiles:

Education 🎓

Arezoo Saedi holds a Ph.D. in Computer Science specializing in Software Engineering from the University of Isfahan. Her doctoral research focuses on the collaborative management of task-oriented dialogue systems to enhance user satisfaction, integrating innovative dialogue management and large language model learning. Prior to her Ph.D., she completed a Master of Science in Computer Science, also at the University of Isfahan, where her thesis centered on developing a classifier for consumer health questions within a question-answering framework. Arezoo’s academic journey began with a Bachelor of Science in Computer Science, also obtained from the University of Isfahan. Her coursework and research across these degrees have equipped her with extensive expertise in artificial intelligence, natural language processing, and software engineering, underpinning her contributions to the field of dialogue systems and information retrieval.

Professional Experience

Arezoo Saedi is a dedicated researcher and educator in the field of Computer Science and Software Engineering. Currently pursuing her Ph.D. at the University of Isfahan, her research focuses on collaborative management of task-oriented dialogue systems to enhance user satisfaction. As a Visiting Researcher at Paris-Saclay University, Arezoo gained valuable insights and contributed to her doctoral thesis under the guidance of prominent researchers. Her academic journey also includes a role as an Instructor at the University of Isfahan, where she designed and delivered courses in compiler design for undergraduate students. Arezoo’s commitment to advancing knowledge is reflected in her publications and ongoing projects, particularly in areas such as natural language processing, information retrieval, and machine learning. Her proficiency in multiple programming languages, databases, and frameworks underscores her comprehensive approach to solving complex problems in software engineering and computer science.

Research Interest

Arezoo Saedi’s research interests span several key areas within the realm of computer science and artificial intelligence. With a primary focus on Natural Language Processing (NLP), she explores innovative approaches to understanding and generating human language. Her expertise extends to Information Retrieval, where she investigates methods to efficiently access and retrieve relevant information from large datasets. Arezoo is also passionate about Dialogue Systems, particularly task-oriented systems designed to facilitate effective communication between users and machines. In addition to her work in NLP and Dialogue Systems, Arezoo is actively involved in advancing Question Answering technologies, aiming to develop systems capable of understanding and responding to natural language questions accurately. Her research in Machine and Deep Learning enhances these efforts, leveraging advanced algorithms to improve computational models’ performance across various applications. Overall, Arezoo Saedi’s interdisciplinary interests in Information Science underscore her commitment to pushing the boundaries of AI research and application in solving real-world challenges.

Award and Honors

Arezoo Saedi has garnered notable recognition throughout her academic journey, reflecting her outstanding achievements and contributions to the field of computer science. She was awarded honorary admission to the PhD program at the University of Isfahan in recognition of her exceptional academic performance. Arezoo consistently ranked at the top of her class during both her Master’s and Bachelor’s programs, distinguishing herself among her peers in Data Management and Software Engineering. Her academic prowess extends beyond the classroom, as she achieved multiple accolades in collegiate scientific Olympiads, showcasing her intellectual acumen and dedication to advancing her field. These honors underscore her commitment to excellence and her proactive engagement in research and academic endeavors. Arezoo Saedi’s achievements not only highlight her academic brilliance but also demonstrate her potential to make significant contributions to the field of artificial intelligence and computer science in the future.

Research Skills

Arezoo Saedi possesses a diverse array of skills across programming languages, frameworks, and tools essential for her research and professional endeavors. She is proficient in Python, Java, and C/C++, leveraging these languages for various applications in software development and data analysis. Her expertise extends to frameworks such as TensorFlow and PyTorch, critical for machine learning and deep learning projects, and she utilizes Google Cloud Platform for scalable computing solutions. Arezoo is adept at database management with MySQL, MongoDB, Cassandra, Oracle Database, SQLite, and Neo4j, enhancing her ability to handle large datasets effectively. Her proficiency spans multiple operating systems including Ubuntu, Windows, and macOS. Beyond technical skills, she excels in problem-solving and teamwork, essential for collaborative research and project management. Arezoo is also skilled in document preparation using LaTeX, Microsoft Word, and Google Docs, and is fluent in English, proficient in Farsi, and a native speaker of Kurdish.

 

 

 

Adnan Abu-Mahfouz | Engineering | Best Researcher Award

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Prof. Adnan Abu-Mahfouz, Engineering, Best Researcher Award

Professor at Council for Scientific and Industrial Research (CSIR), South Africa

Prof. Abu-Mahfouz is a distinguished researcher and academic in computer engineering. He holds a PhD and MEng from the University of Pretoria, South Africa, and a BSc in Information Engineering from the University of Baghdad, Iraq. Currently, he is the Centre Manager for Emerging Digital Technologies at CSIR NextGen Enterprises and Institutions and holds professorial roles at the University of Pretoria, Tshwane University of Technology, and the University of Johannesburg. Prof. Abu-Mahfouz excels in industrial-based R&D, particularly in the Internet of Things (IoT) and smart systems. He has secured over USD 4.5 million in research funding and has published extensively, with 139 journal articles and 136 conference papers. His work has earned him numerous awards, and his high H-index scores reflect his impactful research. Additionally, he has mentored over 70 postgraduate and postdoctoral researchers, contributing significantly to the academic and scientific community.

Professional Profiles:

Education

Prof. Abu-Mahfouz has an extensive and distinguished educational background in computer engineering. He earned his PhD in Computer Engineering from the University of Pretoria, South Africa, from 2007 to 2011. Prior to that, he completed his MEng in Computer Engineering, also at the University of Pretoria, from 2003 to 2005, graduating Cum Laude. His foundational education in engineering began with a BSc in Information Engineering from the University of Baghdad, Iraq, where he graduated in 2000 with an impressive 84.18%, earning the “First” rank in his class. Throughout his academic journey, Prof. Abu-Mahfouz has demonstrated consistent excellence, receiving numerous accolades such as Academic Honorary Colours from the Student Representative Council at the University of Pretoria for both his PhD and MEng degrees. His educational achievements have laid a strong foundation for his prolific research and professional career.

Professional Experience

Prof. Abu-Mahfouz is currently the Centre Manager for the CSIR NextGen Enterprises and Institutions (EDT4IR) since July 2020 and holds multiple professorial positions. He is an Extraordinary Professor at the University of Pretoria, a Professor Extraordinaire at Tshwane University of Technology, and a Visiting Professor at the University of Johannesburg. His previous roles include Principal Research Engineer and Senior Research Engineer at CSIR, and Chair of the Water Resource Management Network at the City of Tshwane. His early career includes positions as a Software Engineer, Network Administrator, and Faculty Coordinator at the Emirates College of Technology.

Research Interest

Professor Adnan Abu-Mahfouz’s research interests encompass a broad spectrum of topics in computer engineering and technology. His primary focus is on the Internet of Things (IoT), where he explores the design, implementation, and application of IoT systems, with a particular interest in smart infrastructure and smart cities. He is also deeply invested in network security, investigating methods to enhance the security and reliability of network systems, including cybersecurity measures and protocols. Additionally, he studies the development and optimization of wireless sensor networks (WSNs), which are crucial for monitoring and data collection in various environments. His work in cyber-physical systems (CPS) involves integrating physical processes with networked digital systems to ensure seamless interaction between the physical and virtual worlds. Prof. Abu-Mahfouz is also focused on industrial informatics, applying advanced informatics techniques to improve efficiency, productivity, and automation in industrial systems. Furthermore, he leverages artificial intelligence (AI) and machine learning (ML) algorithms to enhance the functionalities of technological systems, particularly in IoT and CPS. His interest in smart water management involves developing innovative solutions for water resource management using advanced technologies and smart systems. Lastly, he utilizes data analytics to extract meaningful insights from large datasets, particularly in the context of IoT and smart systems, addressing real-world challenges and promoting sustainable development through his research.

Award and Honors

Prof. Abu-Mahfouz has received numerous awards and honors in recognition of his contributions to research, innovation, and academic excellence. Among these accolades, he was awarded the “Career Growth CSIR Excellence Award” and the “Outstanding Contribution by a Team – Electronic Monitoring Team – Excellence Award” by the Council for Scientific and Industrial Research in 2022. He also received the “Outstanding Associate Editor of 2018” award from the IEEE Access Journal. His research excellence earned him the “Established Researcher CSIR Excellence Award” in 2018 and the “Emerging Leader Excellence Award” in 2015 from CSIR’s Meraka Institute. Furthermore, Prof. Abu-Mahfouz has been recognized by the University of Pretoria for his academic achievements, being listed in the top 15% of academic achievers and invited to join the Golden Key International Honour Society. These awards highlight his leadership, significant research contributions, and dedication to advancing science and technology.

Research Skills

Prof. Abu-Mahfouz possesses exceptional research skills that have significantly advanced his field. He has a proven track record in developing and implementing robust research and development (R&D) strategies, particularly in emerging digital technologies and the Internet of Things (IoT). His expertise in formulating large, multidisciplinary R&D proposals has secured over USD 4.5 million in funding, demonstrating his ability to attract substantial investment and drive impactful research projects. Prof. Abu-Mahfouz’s research skills are evidenced by his extensive publication record, which includes 139 journal articles, 136 conference papers, and 6 book chapters. His work is highly regarded, reflected in his H-index of 48 on Google Scholar and 39 on Scopus. Additionally, he has successfully supervised and mentored numerous postgraduate and postdoctoral researchers, further underscoring his leadership and mentorship in the research community. His role as an associate editor for several high-impact IEEE journals also highlights his expertise in evaluating and guiding cutting-edge research in his field.

Publications

A survey on 5G networks for the Internet of Things: Communication technologies and challenges

  • Authors: GA Akpakwu, BJ Silva, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 1473
  • Journal: IEEE Access
  • Volume: 6
  • Pages: 3619-3647

From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges

  • Authors: Y Liu, X Ma, L Shu, GP Hancke, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 620
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 17
  • Issue: 6
  • Pages: 4322-4334

A survey on software-defined wireless sensor networks: Challenges and design requirements

  • Authors: HI Kobo, AM Abu-Mahfouz, GP Hancke
  • Year: 2017
  • Citations: 541
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 1872-1899

Software defined wireless sensor networks application opportunities for efficient network management: A survey

  • Authors: KM Modieginyane, BB Letswamotse, R Malekian, AM Abu-Mahfouz
  • Year: 2018
  • Citations: 268
  • Journal: Computers & Electrical Engineering
  • Volume: 66
  • Pages: 274-287

A review of machine learning approaches to power system security and stability

  • Authors: OA Alimi, K Ouahada, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 266
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 113512-113531

IoT devices and applications based on LoRa/LoRaWAN

  • Authors: O Khutsoane, B Isong, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 249
  • Conference: IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society
  • Pages: Not specified

Software defined networking for improved wireless sensor network management: A survey

  • Authors: M Ndiaye, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 243
  • Journal: Sensors
  • Volume: 17
  • Issue: 5
  • Article Number: 1031

IoT in the wake of COVID-19: A survey on contributions, challenges and evolution

  • Authors: M Ndiaye, SS Oyewobi, AM Abu-Mahfouz, GP Hancke, AM Kurien, …
  • Year: 2020
  • Citations: 193
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 186821-186839

Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: An overview

  • Authors: KB Adedeji, Y Hamam, BT Abe, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 180
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 20272-20285

Smart water meter system for user-centric consumption measurement

  • Authors: MJ Mudumbe, AM Abu-Mahfouz
  • Year: 2015
  • Citations: 167
  • Conference: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN)