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Firas Fadhil Mohammed Abedi

Researcher

Electronics And Communications Techniques

Najaf Technical Institute

Biography

Dr. Firas Abedi is a researcher specializing in artificial intelligence, Internet of Things (IoT), Internet of Health Things (IoHT), and software-defined networking, with additional expertise in deep learning–based image processing and high dynamic range (HDR) multi-camera reconstruction. His work focuses on developing intelligent communication architectures, adaptive network optimization algorithms, and advanced computer-vision solutions for healthcare and engineering applications. Dr. Abedi has published in reputable international journals, served as a peer reviewer for multiple AI and engineering venues, and actively contributes to the scientific community through research, mentorship, and editorial service. His interdisciplinary approach bridges networking, intelligent systems, and imaging technologies, aiming to advance practical, scalable solutions in next-generation smart environments.

Rsearch Interests

  • Internet of Things (IoT) and Internet of Health Things (IoHT): Smart healthcare systems, sensor networks, wireless communication efficiency, and intelligent hospital monitoring architectures. Software-Defined Networking (SDN): Adaptive protocol design, ARQ optimization, network performance enhancement, and programmable networking for large-scale IoT environments. Artificial Intelligence and Deep Learning: Machine learning models for intelligent decision-making, anomaly detection, medical diagnostics, and real-time edge AI systems. Computer Vision and Image Processing: High dynamic range (HDR) imaging, multi-camera reconstruction, backlighting correction, and deep-learning-based biomedical imaging. Networked Vision Systems: Integration of AI-driven imaging with IoT/SDN infrastructures for healthcare monitoring, remote sensing, and smart-city applications. Healthcare Engineering and Smart Environments: Hybrid AI-communication solutions for improving patient safety, data reliability, and system scalability in clinical settings.

Qualifications

  • PhD-level expertise in Artificial Intelligence, Internet of Things (IoT), Internet of Health Things (IoHT), and software-defined networking (SDN), with a strong foundation in communication protocol optimization and adaptive network control. Advanced specialization in image processing and computer vision, including high dynamic range (HDR) imaging, multi-camera reconstruction, and deep learning architectures for medical and engineering applications. Extensive publication record in reputable peer-reviewed journals and conferences, demonstrating contributions to AI-driven healthcare systems, intelligent communication architectures, and advanced imaging technologies. Active reviewer and editorial contributor for multiple scientific journals, with recognized service documented through ORCID and academic platforms. Experience leading interdisciplinary research that integrates AI, networking, and vision systems to develop practical and scalable solutions for smart healthcare and engineering environments. Strong analytical, methodological, and technical skills, including simulation, algorithm design, deep-learning model development, and performance evaluation across networking and imaging domains. Demonstrated commitment to academic excellence, mentoring students, supporting scientific integrity, and advancing the global AI research community.

Experiences

  • Academic Researcher in Artificial Intelligence, IoT/IoHT, and Software-Defined Networking, with extensive work on adaptive communication protocols, error-control mechanisms, and intelligent healthcare monitoring architectures. Specialist in Advanced Image Processing and Computer Vision, including high dynamic range (HDR) imaging, multi-camera reconstruction, deep-learning–based medical imaging, and applied computational photography. Author of multiple peer-reviewed publications across AI, networking, and imaging domains, contributing to the development of AI-driven solutions for healthcare, smart environments, and engineering applications. Active Peer Reviewer for international journals, providing rigorous scientific evaluations in artificial intelligence, IoT, deep learning, medical imaging, and communication systems—documented through ORCID review records. Contributor to interdisciplinary research projects, integrating AI, embedded IoT systems, computer vision, and network engineering to develop applied, real-world solutions. Experienced educator and mentor, supervising student research, guiding thesis development, and delivering advanced courses in AI, IoT, image processing, and communication technologies. Participant in collaborative scientific initiatives, working with researchers and institutions on developing intelligent networked systems, smart healthcare tools, and computational imaging methods. Technical expertise in algorithm development, simulation modeling, deep-learning architectures, performance evaluation, and data-driven analytic workflows for both networking and imaging applications.

Responsibilities

  • Conduct high-quality peer review of submitted manuscripts in artificial intelligence, IoT/IoHT, SDN, communication systems, and computer vision, ensuring scientific rigor, clarity, and ethical standards. Guide editorial decisions by evaluating reviewer feedback, assessing methodological soundness, and recommending publication, revision, or rejection based on scholarly merit. Support the journal’s strategic development by identifying emerging research trends, proposing special issues, and contributing to discussions that enhance the journal’s academic impact. Promote the journal within the research community, encouraging high-quality submissions and strengthening the journal’s visibility through academic networks and collaborations. Maintain high standards of editorial integrity, ensuring fair, timely, and constructive communication with authors, reviewers, and editorial colleagues. Advise on thematic directions aligned with your expertise in AI-driven networking, intelligent systems, and advanced imaging technologies to help shape future content areas.

Positions

  • Head of the Scientific Promotions Unit at Najaf Technical Institute
  • Rapporteur of the Oil Refining Technologies Department

Scientific Research

  • Abosinnee, Ali S; Bencsik, Gergely; Abedi, Firas; ,The impact of bio-inspired models on edge detection: a survey,Sixth International Conference on Computer Vision and Information Technology (CVIT 2025),13796,,9-18,2025,SPIE
  • Abosinnee, Ali S; Bencsik, Gergely; Abedi, Firas; ,Edges in image with illumination variations scenarios: a review: AS Abosinnee et al.,The Visual Computer,,,1-29,2025,Springer
  • Kareem, Zahraa Hashim; Malik, Rami Qais; Jawad, Sarmad; Abedi, Firas; ,Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks,IEEE Access,,,,2025,IEEE
  • Al-Jaafari, Mohannad; Abedi, Firas; Yang, You; Liu, Qiong; ,Corner selection and dual network blender for efficient view synthesis in outdoor scenes,Pattern Recognition,166,,111668,2025,Pergamon
  • Abedi, Firas; Al-Baghdadi, Ahmed Fahim; ,Multi-objective optimization for vector quantization via genetic algorithm,Optics Continuum,3,5,808-822,2024,Optica Publishing Group
  • Abedi, Firas; ,Dense residual network for image edge detection,Multimedia Tools and Applications,83,42,90227-90242,2024,Springer US New York
  • Abedi, Firas; ,Edge detection algorithm for in-pixel lighting via genetic optimization algorithm,AIP Conference Proceedings,3092,1,040023,2024,AIP Publishing LLC
  • Abedi, Firas; Essa, Mohammad; Abosinnee, Ali S; Alwan, Adeil Abbas; Adnan, Mohanned; Al-Jawahry, Hassan M; ,Estimation of Camera Parameters via Gray Wolf Optimization Algorithm,2023 6th International Conference on Engineering Technology and its Applications (IICETA),,,378-382,2023,IEEE
  • Abed, Hanaa Ali; Hussein, Abbas Hameed Abdul; Issa, Samer Saeed; Kadeem, Sahar R Abdul; Majed, Safa; Al-Jawahry, Hassan M; ,Computational intelligence driven secure unmanned aerial vehicle image classification in smart city environment,2023 6th International Conference on Engineering Technology and its Applications (IICETA),,,180-186,2023,IEEE
  • Abedi, Firas; Ghanimi, Hayder MA; Algarni, Abeer D; Soliman, Naglaa F; El-Shafai, Walid; Abbas, Ali Hashim; Kareem, Zahraa H; Hariz, Hussein Muhi; Alkhayyat, Ahmed; ,Chimp Optimization Algorithm Based Feature Selection with Machine Learning for Medical Data Classification.,Comput. Syst. Sci. Eng.,47,3,2791-2814,2023,
  • Abedi, Firas; Al-Rawi, Osama Yaseen M; Alkhayyat, HR; Ali, Rabei Raad; Almohamadi, Mohammed; Abbas, Fatima Hashim; Al-Dayyeni, Wisam Subhi; ,Path Scheduling and Bandwidth Utilization for Urban Vehicular Adhoc Networks,Journal of Intelligent Systems and Internet of Things,9,2,120-129,2023,
  • Abedi, Firas; ,Digital pre-distorter system based on memoryless hammerstein model for high power amplifier impairments,Arabian Journal for Science and Engineering,49,5,6419-6428,2024,Springer Berlin Heidelberg Berlin/Heidelberg
  • Abedi, Firas; Ghanimi, Hayder MA; Sadeeq, Mohammed AM; Alkhayyat, Ahmed; Kareem, Zahraa H; Mahmood, Sarmad Nozad; Abbas, Ali Hashim; Abosinnee, Ali S; Al-Azzawi, Waleed Khaild; Jaber, Mustafa Musa; ,Hybrid deep learning enabled load prediction for energy storage systems,"Computers, Materials & Continua",75,2,3359-3374,2023,
  • Al-Ja'afari, Mohannad AM; Al-Rammahi, Laith FMH; Abedi, Firas; Al-Rikabi, Hussein MH; Gaba, Gurjot Singh; ,A simplified adaptive digital predistorter for a high power amplifier with memory effects based on direct learning architecture,AIP Conference Proceedings,2651,1,060010,2023,AIP Publishing LLC
  • Abedi, Firas; Yang, You; Liu, Qiong; ,An adaptive method to recover high dynamic range images from multi-camera systems in back-lighting scenario,Wireless Personal Communications,,,1-22,2024,Springer US New York
  • Al-muqarm, Abbas M Ali; Abedi, Firas; Abosinnee, Ali S; ,Quantum computing cryptography and lattice mechanism,Journal of information and communication convergence engineering,20,4,242-249,2022,
  • Abedi, Firas; Zeebaree, Subhi RM; Ageed, Zainab Salih; Ghanimi, Hayder MA; Alkhayyat, Ahmed; Sadeeq, Mohammed AM; Mahmood, Sarmad Nozad; Abosinnee, Ali S; Kareem, Zahraa H; Abbas, Ali Hashim; ,Severity based light-weight encryption model for secure medical information system,"Computers, Materials & Continua",74,3,5691-5704,2023,
  • Abdulkarem, Ahmed Mohammed; Abedi, Firas; Ghanimi, Hayder MA; Kumar, Sachin; Al-Azzawi, Waleed Khalid; Abbas, Ali Hashim; Abosinnee, Ali S; Almaameri, Ihab Mahdi; Alkhayyat, Ahmed; ,Robust automatic modulation classification using convolutional deep neural network based on scalogram information,Computers,11,11,162,2022,MDPI
  • Abdulsattar, Nejood Faisal; Abedi, Firas; Ghanimi, Hayder MA; Kumar, Sachin; Abbas, Ali Hashim; Abosinnee, Ali S; Alkhayyat, Ahmed; Hassan, Mustafa Hamid; Abbas, Fatima Hashim; ,Botnet detection employing a dilated convolutional autoencoder classifier with the aid of hybrid shark and bear smell optimization algorithm-based feature selection in FANETs,Big Data and Cognitive Computing,6,4,112,2022,MDPI
  • Abedi, Firas; Fahama, Hassoon Salman; Hamzah, Ayad; Mohammed, Firas; ,Adaptive Filter Predistorter for Memory Saleh Model,2022 5th International Conference on Engineering Technology and its Applications (IICETA),,,338-342,2022,IEEE
  • Alkhayyat, Ahmed; Abedi, Firas; Bagwari, Ashish; Joshi, Pooja; Jawad, Haider Mahmood; Mahmood, Sarmad Nozad; Yousif, Yousif K; ,"Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review",International Journal of Distributed Sensor Networks,18,7,15501329221113508,2022,"SAGE Publications Sage UK: London, England"
  • Balhara, Surjeet; Gupta, Nishu; Alkhayyat, Ahmed; Bharti, Isha; Malik, Rami Q; Mahmood, Sarmad Nozad; Abedi, Firas; ,"A survey on deep reinforcement learning architectures, applications and emerging trends",IET Communications,19,1,e12447,2025,
  • Abedi, Firas; Liu, Qiong; Yang, You; ,Multi-view high dynamic range reconstruction via gain estimation,2019 IEEE Visual Communications and Image Processing (VCIP),,,1-4,2019,IEEE
  • An, Pei; Liu, Qiong; Abedi, Firas; Yang, You; ,Novel calibration method for camera array in spherical arrangement,Signal Processing: Image Communication,80,,115682,2020,Elsevier
  • Alazzawi, Murtadha A; Chen, Kai; Yassin, Ali A; Lu, Hongwei; Abedi, Firas; ,Authentication and revocation scheme for VANETs based on Chinese remainder theorem,2019 IEEE 21st International Conference on High Performance Computing and Communications

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