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Professor Hala Zreiqat AM is a leading biomedical engineer at The University of Sydney , serving as the Director of the ARC Training Centre for Innovative BioEngineering . A Fellow of all major Australian academies (AAS, ATSE, FAHMS, FRSN), she develops 3D printed bioceramics for bone regeneration while championing diversity through initiatives like the IDEAL Society and BIOTech Futures mentorship program. Her work bridges academia, clinical practice, and industry in musculoskeletal research . Research Focus: Her lab creates synthetic bone scaffolds that mimic natural bone architecture, strength, and porosity, enabling non-rejected bone regeneration via patient-matched implants. Key applications include orthopaedic, dental, and maxillofacial repair , with over $18M in competitive funding and multiple patents. Current projects explore AI-driven scaffold performance prediction and anti-senescence strategies for aging-related bone loss. Scientific Trends: Recent publications highlight 3D printed nanovoxelated ceramics , antisenescence biomaterials , and multifunctional theranostic platforms . Her team integrates machine learning for scaffold design, atom probe tomography for interface analysis, and two-photon imaging for cellular monitoring in 3D environments. 2021-2022 Fulbright Senior Scholar 2018 NSW Premier's Woman of the Year 2019 Eureka Prize for Innovative Use of Technology Fellow of Australian Academy of Science (2021) Over $18M in research funding Teaching & Leadership: She designed core courses like Tissue Engineering and Nanomaterials in Medicine , mentoring 158 students in 2020 alone. As Chair of CAAR (2020-2023), she strengthens Australia-Arab collaborations. Her lab trains early-career researchers , with alumni now in academia and industry.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +12 more

Salman Durrani is a Professor and Associate Director Education at the School of Engineering, Australian National University. He holds a PhD in Electrical Engineering from the University of Queensland and a BSc (First Class Honours) from the University of Engineering & Technology, Lahore, Pakistan. His research spans Internet of Things networks, satellite/UAV communications, machine learning applications in wireless systems, early wildfire detection, and backscatter communications. Current projects focus on terahertz communication security, UAV-assisted networks, and IoT-based environmental monitoring. His recent publications demonstrate strong emphasis on wireless security, terahertz technology optimization, UAV network design, and IoT applications for environmental protection. Technological innovations include novel beamforming techniques and lightweight authentication protocols. AI 2000 Internet of Things Most Influential Scholar (2020, 2022, 2023) IEEE ComSoc Asia Pacific Outstanding Paper Award (2016) Australian Council of Graduate Research Excellence Award (2019) ANU Vice-Chancellor's Awards for Supervision (2018) and Education (2012) He has supervised 15 PhD students to completion and secured $1.9M in research funding as chief investigator for six grants. Current projects include participation in the ANU Optus Bushfire Research Centre of Excellence.

• Internet of Things networks
• Satellite and UAV communications
• Machine learning for wireless communications
• +2 more

Kok Sheik Wong is a Professor and Deputy Head (Research) at the School of Information Technology, Monash University Malaysia. He holds a Doctor of Engineering from Shinshu University, Japan, and Master’s and Bachelor’s degrees in Computer Science and Mathematics from Utah State University, USA. His academic leadership and research excellence are central to his role at Monash. B.S. Computational Mathematics, Utah State University (2002) M.S. Computer Science, Utah State University (2006) M.S. Mathematics, Utah State University (2004) Doctor of Engineering, Shinshu University, Japan (2009) His research focuses on multimedia signal processing and cybersecurity , particularly in data hiding , reversible data hiding , coverless steganography , and multimedia encryption . He is also expanding into digital health , applying AI to mental health in workplace environments. His work aligns with UN SDGs, particularly in health and education. The recent publication trends show a strong emphasis on reversible data hiding , image watermarking , and AI-driven health applications . His interdisciplinary work spans computer science, engineering, and public health, with increasing focus on real-world impact through EU and national grants. He has received several honors, including: Academic of Science Malaysia - Young Scientist Network (2020) Best Paper Award, IWDW 2019 ITEX 2021 Gold Medal for BAITRADAR School of IT Excellence in Research Award (2022) Dr. Wong actively supervises PhD students and leads major research projects, including the EU-funded WAge project. He has served as an associate editor for IEEE Signal Processing Letters and the Journal of Information Security and Applications, and is a member of IEEE IFS and APSIPA technical committees. His grants reflect strong external collaboration and funding in cybersecurity and digital health. He is involved in key research labs and teams through Monash University and international consortia, particularly in the areas of multimedia security and digital health innovation. His leadership in the WAge project connects him with European and Asia-Pacific research networks, enhancing global impact.

• Multimedia Signal Processing
• Cybersecurity
• Data Hiding
• +9 more

Dhammika Jayalath is an Associate Professor at Queensland University of Technology (QUT) in the School of Electrical Engineering & Robotics within the Faculty of Engineering. He has been with QUT since 2007, initially as a Senior Lecturer and later promoted to Associate Professor. Prior to joining QUT, he worked as a Senior Researcher at National ICT Australia Ltd and held a Fellowship at the Australian National University. His educational background includes a PhD in Wireless Communications from Monash University and a Graduate Certificate in Higher Education from QUT. He is a Senior Member of IEEE and active in multiple IEEE societies including Communications, Signal Processing, and Vehicular Technology. Research Interests: Dhammika's research focuses on Smart Systems with particular expertise in wireless communications and networking. His work spans Physical Layer Security, Massive MIMO Systems, Internet of Things, Optimum Resource Allocation, Cooperative communications, Cognitive radio, and Vehicular communications. He has made significant contributions to 5G New Radio, Chaotic Communications, Orthogonal Frequency Division Multiplexing (OFDM), and Space-Time Signal Processing. Publication Trends: His recent publications demonstrate a strong focus on 5G/6G networking technologies, physical layer security for IoT devices, and optimization of wireless communication systems. His work bridges theoretical communications theory with practical implementation challenges, particularly in vehicular networks, secure communications, and resource allocation for heterogeneous networks. The articles show increasing interdisciplinary work, combining machine learning techniques with traditional communications engineering approaches. Scientific Awards: 2007: Early Career Academic Recruitment and Development (ECARD) award from QUT 2009: Elevated to Senior Member Grade of IEEE 2000: IEEE travel grant Multiple scholarships during graduate studies at Monash University Supervision and Grants: Professor Jayalath has supervised numerous PhD students to completion with research topics including chaotic communication systems, resource allocation in heterogeneous networks, and vehicular communication systems. He has secured multiple research grants totaling over AU $300,000, including projects from ARC, QUT internal grants, and industry partnerships with Queensland Fire and Emergency Services. His current research includes physical layer security frameworks for IoT devices and optimization of massive MIMO systems for dense mobile networks. Laboratory and Team Work: He has been instrumental in establishing wireless communications research capabilities at QUT, including securing equipment grants for Software Defined Radio platforms. His work often involves interdisciplinary collaboration with researchers in signal processing, cybersecurity, and transportation systems.

• Smart Systems
• Optimum Resource Allocation
• Massive MIMO Systems
• +13 more

Professor Parastoo Sadeghi is a distinguished academic in the School of Engineering and Information Technology at the University of New South Wales (UNSW) Canberra, where she serves as Professor of Electrical Engineering. She joined UNSW Canberra in October 2020 after spending 15 years at the Australian National University (2005-2020). Professor Sadeghi received her bachelor's and master's degrees in electrical engineering from Sharif University of Technology, Tehran, Iran, in 1995 and 1997, respectively, and completed her Ph.D. in electrical engineering from UNSW Sydney in 2006. Professor Sadeghi's research spans several cutting-edge areas in information theory and communications, with particular emphasis on information theory , data privacy , network and index coding , wireless communications theory and systems , and spherical signal processing . Her work has resulted in over 200 refereed journal articles and conference papers, plus a book on Hilbert Space Methods in Signal Processing published by Cambridge University Press in 2013. Her recent publications demonstrate a strong focus on differential privacy mechanisms, information leakage analysis, and network coding optimization, with significant contributions to the theoretical foundations of these fields. Professor Sadeghi has held several prestigious positions in the academic community, including serving as Associate Editor for coding techniques for the IEEE Transactions on Information Theory (2016-2019), General Co-chair of the 2021 IEEE International Symposium on Information Theory in Melbourne, and as an elected member on the Board of Governors of the IEEE Information Theory Society (2019-2020). She has been a Senior Member of the IEEE since 2007 and has conducted research visits at leading institutions including the Technical University of Munich (2008) and MIT (2009, 2013, 2020). Her recent work shows increasing focus on privacy-preserving technologies and the theoretical foundations of secure communications, with numerous publications in top-tier venues. Senior Member of IEEE (since 2007) General Co-chair of 2021 IEEE International Symposium on Information Theory Associate Editor for IEEE Transactions on Information Theory (2016-2019) Elected member, IEEE Information Theory Society Board of Governors (2019-2020) Professor Sadeghi actively supervises graduate students in fundamental problems related to information theory, wireless communications, data privacy, and network coding. She offers competitive scholarships of $35,000 AUD for high-achieving PhD students with strong mathematical backgrounds. Her research group maintains strong international collaborations, as evidenced by her frequent research visits to top global institutions and numerous co-authored publications with international researchers. She continues to be an active contributor to the advancement of information theory and its applications to modern communication and privacy challenges.

• Information Theory
• Data Privacy
• Network Coding
• +3 more

Professor Wei Zhang is a Full Professor at the School of Electrical Engineering & Telecommunications, University of New South Wales (UNSW), where he has been serving since May 2008, progressing from Senior Lecturer (2008-2012) to Associate Professor (2013-2017) and finally to Full Professor in November 2017. He received his PhD degree in Electronic Engineering from the Chinese University of Hong Kong in 2005 and was a Research Fellow at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology from 2006 to 2007. Professor Zhang's research spans cognitive radio, massive MIMO, 5G/6G networks, UAV communications, orbital angular momentum, and reconfigurable intelligent surfaces. His publications demonstrate a strong theoretical foundation combined with practical implementations, addressing critical challenges in modern wireless systems including spectrum efficiency, secure communications, and network intelligence. With over 200 papers in IEEE journals and conferences along with three authored books, his work has significantly impacted the field of wireless communications. Analysis of his recent publications (2023-2025) reveals a clear trajectory toward next-generation wireless technologies with emphasis on reconfigurable intelligent surfaces (RIS), orbital angular momentum (OAM), non-orthogonal multiple access (NOMA), and the integration of machine learning with traditional communication techniques. A substantial portion of his current work focuses on satellite-terrestrial integrated networks, UAV communications, and secure wireless transmission techniques, showing increasing sophistication in addressing complex communication challenges through innovative approaches. Professor Zhang's scientific achievements have been recognized with prestigious honors including: Fellow of the IEEE Fellow of the IET Distinguished Lecturer of IEEE Communications Society (2016-2017) His leadership in the academic community is evident through his editorial roles as Editor-in-Chief of IEEE Wireless Communications Letters (2016-2019) and currently as Editor-in-Chief of Journal of Communications and Information Networks (JCIN). As Area Editor of IEEE Transactions on Wireless Communications and former editor for multiple IEEE Transactions journals, he has significantly influenced the direction of wireless communications research. His active participation in major IEEE conferences as TPC Chair and Co-Chair demonstrates his commitment to advancing the field through scholarly exchange. Currently serving as Chair of IEEE Wireless Communications Technical Committee and Vice Director of IEEE Communications Society Asia Pacific Board, Professor Zhang continues to shape the future of wireless communications research globally, bridging the gap between academic innovation and industry implementation in next-generation wireless networks.

• Wireless Communications
• Cognitive Radio
• Massive MIMO
• +7 more

Ben Fulcher is an Associate Professor and Senior Lecturer in the School of Physics at The University of Sydney, leading the Dynamics and Neural Systems Group. His research focuses on applying statistical and physics-based methods to study complex systems, with a strong emphasis on neuroscience. He investigates brain structure and function dynamics, particularly exploring the interplay between genetics, neural connectivity, and information processing mechanisms. Fulcher has pioneered tools like hctsa (highly comparative time-series analysis) for analyzing large-scale neuroimaging and physiological data. Research Interests Complex systems analysis Neural dynamics and connectomics Feature-based time-series analysis Gene-brain connectivity relationships Imaging transcriptomics Recent Work Trends Fulcher's recent articles emphasize time-series analysis applications in neuroscience, including studies on anesthesia effects, brain connectivity, and criticality in neural systems. His work bridges computational methods (e.g., generative models, matrix-product states) with biological insights, often involving interdisciplinary collaborations. Key themes include understanding how brain geometry influences dynamics and translating genetic data into connectomic predictions. Grants & Projects 2024: ARC Future Fellowship for sleep research using complex systems methods 2023: Discovery Project on network neuroscience and AI integration Advising & Labs Fulcher supervises research students and directs the Dynamics and Neural Systems Group, which develops open-source tools like the theft R package for time-series analysis. His lab’s work has been featured in media outlets discussing brain structure-function relationships and comparative neurobiology.

• Neuroscience
• Complex Systems Analysis
• Statistical Physics
• +3 more

Dr. Beeshanga Abewardana Jayawickrama is a Senior Lecturer and Data Science Engineering Course Director at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a BEng in Telecommunications Engineering (Hons I) and a PhD in Electronic Engineering (Wireless Communications) from Macquarie University, Sydney, Australia, completed in 2011 and 2015 respectively. As a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), he maintains active research and industry collaborations. His educational background includes: BEng in Telecommunications Engineering (Hons I), Macquarie University (2011) PhD in Electronic Engineering (Wireless Communications), Macquarie University (2015) Dr. Jayawickrama's research focuses on cutting-edge wireless communication technologies with particular emphasis on 5G/6G Physical Layer signal processing algorithms, Machine Learning techniques for Physical Layer signal processing, Ultra-Reliable Low-Latency Communications, Non-Terrestrial Networks, Compressed Sensing (Sub-Nyquist Sampling), and spectrum sharing. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and industry collaborations. He has published over 40 prestigious conference and journal papers while developing algorithms that have been incorporated into commercial 5G base stations. Analysis of his recent publications reveals a strong focus on satellite communications, particularly cognitive GEO-LEO satellite networks, where he explores spectrum sharing, beam design, and interference management. His research increasingly integrates machine learning techniques with traditional signal processing approaches, especially for spectrum sensing and channel estimation in next-generation wireless systems. The trend shows growing emphasis on practical implementation and experimental validation of theoretical concepts. His scientific recognition includes: Macquarie University Medal in Engineering Vice-Chancellor's Commendation for Academic Excellence Outstanding Teacher Award (2021) Multiple competitive scholarships from Macquarie University and CSIRO In terms of teaching and supervision, Dr. Jayawickrama has taught numerous undergraduate and postgraduate subjects including Advanced Telecommunication Engineering, 4G/5G Mobile Technologies, Communication Systems, and Engineering Research Thesis. His current research is supported by significant grants including the AI-SSPCAS project (CSIRO), Smart Flood and Storm Intelligence Sensing Initiative (NSW Department), and CogSat: Cognitive Satellite Radio (SmartSat CRC). Previously, he has secured research funding from Intel Corporation and Nokia Research Centre. Dr. Jayawickrama has held leadership roles including Course Director for Data Engineering since 2021 and UTS IEEE Student Branch Counsellor from 2017-2020. His industry experience includes research positions at Ericsson in Sweden (working on 5G New Radio receiver algorithms) and Intel Labs in the USA (working on Licensed Shared Access and Citizens Broadband Radio Service).

• 5G/6G Physical Layer signal processing algorithms
• Machine Learning techniques for Physical Layer signal processing
• Ultra-Reliable Low-Latency Communications
• +5 more

Dr. Quynh Ngo is a Postdoctoral Research Fellow in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), within the Faculty of Engineering and Information Technology. Her research focuses on satellite networks, vehicular ad-hoc networks (VANETs), IoT networks, cybersecurity, and machine learning applications in wireless communication. She holds a PhD in Computer Science from La Trobe University (2023), an M.Sc. in Telecommunications from Vietnam National University (2016), a B.Sc. in Electrical Engineering from California State University (2013), and a B.Eng. in Mechanical Engineering from Vietnam National University (2008). Her doctoral thesis was nominated for the Nancy Millis Award for exceptional research. Her work addresses critical challenges in 6G satellite integration, including intersystem interference in GEO-LEO networks, Doppler shift mitigation, and spectrum sensing. She employs machine learning and deep reinforcement learning to optimize beam design, power allocation, and resource management. Dr. Ngo has been awarded scholarships and grants from NASA, the Norwegian-Vietnamese Industrial & Infrastructure Safety Consortium, and La Trobe University. She has over five years of teaching experience in electronics, communications, and cybersecurity, and actively serves as a reviewer for journals such as IEEE Transactions on Communications and conferences like the IEEE International Symposium on Communications and Information Technologies. Education: PhD in Computer Science, La Trobe University (2023) M.Sc. in Telecommunications, Vietnam National University (2016) B.Sc. in Electrical Engineering (Magna Cum Laude), California State University (2013) B.Eng. in Mechanical Engineering, Vietnam National University (2008) Key Research Themes: Satellite-terrestrial hybrid networks Intelligent non-terrestrial networks (NTN) Cybersecurity in wireless systems Machine learning for network optimization Awards: NASA-JPL Undergraduate Scholar La Trobe University Postgraduate Research Scholarship Net Zero Scholarship Advising & Grants: Focuses on funded projects related to vehicular ad-hoc networks, IoT, and non-terrestrial networks Experience in securing research grants and industry collaborations

• Satellite Networks
• Vehicular Ad-Hoc Networks
• IoT Networks
• +3 more

Dr. Faycal Bouhafs is a Senior Lecturer at the School of Systems & Computing , UNSW Canberra . His research focuses on performance and reliability in wireless communication networks, with expertise in programmable networks, 5G/6G architectures, and IoT security. He leads initiatives in radio resource optimization and physical-layer security using software-defined approaches. Research Interests: Dr. Bouhafs investigates: Programmable wireless networks for dynamic resource allocation Beyond 5G/6G infrastructures supporting massive IoT deployments Security frameworks for cyber-physical systems and IoT ecosystems AI-driven optimization of radio access and network management Publication Focus: Recent works (2020-2025) demonstrate strong emphasis on: Software-defined wireless networking (SDWN) for spectrum sharing Physical-layer security via jamming and deep learning 6G resource optimization and IoT scalability Practical implementations using off-the-shelf equipment

• Programmable and software defined wireless networks
• Beyond 5G and 6G communication networks
• Security in Internet of Things
• +4 more

Professor Robert Malaney is a faculty member in the School of Engineering, Department of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Sydney, Australia. He has held previous academic positions at the California Institute of Technology (USA), the University of California (USA), the University of Toronto (Canada), and the CSIRO (Australia). Professor Malaney specializes in quantum communications, quantum sensing, wireless communications, optical communications, satellite communications, quantum physics, and astrophysics. His research focuses on developing practical quantum communication systems with particular emphasis on satellite-based applications. He has made significant contributions to quantum key distribution (QKD), quantum networking, and the integration of quantum and classical communication systems. His work addresses critical challenges in quantum communications including atmospheric turbulence compensation, phase estimation, error mitigation, and spatial diversity exploitation. Analysis of Professor Malaney's recent publications (2023-2025) reveals an intensive focus on advancing satellite-to-earth quantum communications. His work demonstrates leadership in developing quantum routing protocols, machine learning applications for quantum systems, and hybrid quantum-classical communication techniques. These publications highlight his commitment to solving practical implementation challenges for global quantum networks, with particular attention to real-world constraints like atmospheric interference and signal degradation in space-to-ground links. Professor Malaney has maintained an extensive collaborative network across multiple institutions and research domains. His work bridges theoretical quantum information science with practical engineering applications, positioning him as a key contributor to the emerging field of quantum communications infrastructure.

• Quantum Communications
• Quantum Sensing
• Wireless Communications
• +7 more

Associate Professor Hoang Dinh is a faculty member at the School of Electrical and Data Engineering, University of Technology Sydney (UTS), Australia. He holds an ARC DECRA Fellowship and leads research in wireless communications, machine learning applications, and cybersecurity. His work includes over 200 publications, 20,000+ citations (h-index 53), and significant industry collaborations with Cisco and Apple Inc. He teaches IoT Security and Cyber Security for Mobile Platforms, achieving high student satisfaction scores. Key awards include the IEEE TCI Rising Star Award (2023), IEEE TCSC Excellence Award (2021), and multiple editorial recognitions from IEEE Transactions. His research focuses on 6G networks, metaverse technologies, federated learning, and blockchain security. Current projects involve secure edge computing, AI-driven communication systems, and digital twin integration. Education: PhD in Computer Science from Nanyang Technological University (2016). Research Funding: AUD 6M+ in external grants, including DECRA (2021). Editorial Roles: Editor for IEEE Transactions on Communications, Network Science and Engineering, Mobile Computing, and Wireless Communications. Industry Impact: Developed IoT security frameworks and contributed to disaster management digital transformation projects recognized in iAWARDS2024.

• Wireless Communications
• Networking Systems
• Machine Learning Applications
• +5 more

Associate Professor Maitreyee Roy is a researcher at the School of Optometry and Vision Science, University of New South Wales (UNSW Sydney). She specializes in Optical Physics, Quantum Dots, 3D Optical Imaging, and Artificial Neural Networks with applications in biomedical instrumentation, nanophotonics, and optometry/ophthalmology. Her research includes: Developing novel imaging technologies like Full-Field Optical Coherence Microscopy Investigating blue-blocking lens effects on visual/non-visual systems Creating AI-driven ocular disease detection systems Visualizing tear film dynamics using non-toxic quantum dots 3D reconstruction of OCT images for glaucoma diagnosis Recent publications focus on machine learning applications for glaucoma staging, quantum dot tear film imaging, and 3D medical visualization techniques. She collaborates with international labs at UC Berkeley, Tokyo Tech, and Mexico's INAOE. Awards: NMI World Metrology Day Outstanding Achievement (2013, 2011) ProSciTech Trans-Tasman Award (2006) Fellow of Optical Society of America JSPS Invitation Fellowship (2004) She supervises postgraduate and undergraduate students in projects related to optical coherence tomography, artificial intelligence applications, and quantum dot bioimaging. Professional memberships include Optical Society of America, SPIE, and Australian Standards Committee for eye protection.

• Optical Physics
• Quantum Dots
• Contact Lens
• +6 more

Professor Jinhong Yuan is a distinguished academic serving as Professor of Telecommunications and Head of Telecommunications at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, Australia. He received his B.E. and Ph.D. degrees in Electronics Engineering in 1991 and 1997, respectively. After serving as a Research Fellow at the University of Sydney from 1997 to 1999, he joined UNSW in 2000 where he has continued his academic career. Professor Yuan's extensive research portfolio spans multiple cutting-edge areas in telecommunications, with particular expertise in Mobile and Wireless Communications, Satellite Communications, Underwater Communications, and Integrated Communications and Sensing (ICAS). His work addresses critical challenges in IoT, Millimeter Waves, Information Theory and Error Control Coding, Turbo Coding and Iterative Processing, as well as Space-Time Coding, Processing and MIMO Techniques. His recent publications demonstrate significant contributions to Wideband CDMA, OFDM, and particularly to Orthogonal Time Frequency Space (OTFS) modulation systems which have emerged as promising technologies for 5G/6G communications and high-mobility scenarios. Analysis of Professor Yuan's recent publications reveals a strong trend toward addressing the challenges of high-mobility communications, particularly through OTFS modulation techniques. His work spans theoretical foundations in channel coding and information theory to practical implementations in satellite, underwater, and terrestrial wireless systems. The research demonstrates increasing integration of communications and sensing capabilities, reflecting the growing importance of Integrated Sensing and Communications (ISAC) in next-generation wireless networks. His publications consistently appear in top IEEE journals including IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. Best Paper Award of IEEE Wireless Communications and Networking Conference (WCNC), Cancun, Mexico (2011) Best Paper Award of IEEE International Symposium on Wireless Communications Systems (ISWCS), Trondheim, Norway (2007) Four additional Best Paper Awards across various conferences One Best Poster Award Professor Yuan serves as the IEEE NSW Chair of the joint Communications/Signal Processing/Ocean Engineering Chapter and holds editorial positions as Associate Editor for both IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. His research has resulted in over 300 journal and conference publications, two books, two book chapters, and 40 industrial reports. He is also a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check (LDPC) codes, demonstrating the practical impact of his theoretical work.

• Mobile and Wireless Communications
• Satellite Communications
• Underwater Communications
• +7 more

Professor Taufiq Asyhari is a faculty member at Monash University, specializing in Data Science and Machine Learning. He holds a PhD in Information Engineering from the University of Cambridge, with expertise in telecommunications, privacy-preserving AI, and sustainable development. Visiting Professor of Future Communication Systems at Birmingham City University (since 2023) Board of Experts member at Wallacea Research Centre for Biodiversity Conservation and Climate Change (since 2022) His research spans geographically diverse AI applications in telehealth, smart cities, and environmental sustainability. Recent projects focus on fair AI systems, privacy-preserving machine learning, and tropical biomass energy solutions. Key publication trends show active contributions in: 5G telecommunications, intrusion detection systems, environmental machine learning, and sustainable energy technologies. His work combines theoretical research with practical implementations across multiple domains. Scientific achievements include: Doctor of Philosophy from University of Cambridge Editorial roles at Mobile Information Systems, Sensors, PeerJ Computer Science, and IEEE Access

• Data Science
• Machine Learning
• Artificial Intelligence
• +4 more