جستجوی استاد راهنمای دانشگاهی

• Software Defined Radio
• AI/ML for Wireless Communications
• Cyber Security
• +۳ مورد دیگر

Ruolin Zhou is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth, part of the College of Engineering. She joined UMass Dartmouth in 2018 after serving as a tenured Associate Professor at Western New England University from 2012 to 2018. Her research focuses on software-defined radio (SDR), AI/ML-driven wireless communications, spectrum sensing, cyber & electromagnetic spectrum security, and hardware security. Her work has been supported by grants from NSF, ONR, AFRL, ARL, and industry partners like Lockheed Martin. Dr. Zhou holds a PhD in Engineering from Wright State University (2012), an MS in Electrical Engineering (2007), and a BS in Electrical Engineering from Dalian Jiaotong University (2003). She teaches courses including Foundations of Cybersecurity, Digital Logic Design, and Software-Defined Radio. Her research has led to innovations in FPGA-accelerated deep learning architectures, real-time spectrum monitoring, and secure communication systems. Her contributions have been recognized with awards including the 2024 IEEE Region 1 Outstanding Teaching Award, ONR Summer Faculty Research Fellowships (2022-2023), and Best Demo Awards at GLOBECOM 2010. She actively serves in IEEE roles, including Vice President for Technical Activities within the IEEE Reliability Society (2025) and steering committee memberships in IEEE Future Networks and IoT Technical Communities.

Chatchai Khunboaمشاهده پروفایل

استاد مهمان

• Wireless Sensor Networks
• Internet of Things
• Software Defined Networks
• +۳ مورد دیگر

Chatchai Khunboa is a Visiting Professor at the Shiley School of Engineering, University of Portland, and currently holds the position of Associate Professor in the Department of Computer Engineering at Khon Kaen University, Thailand. He is a Fulbright Scholar-in-Residence, focusing on sharing his expertise in IoT and encouraging students to engage with contemporary technological advancements. Dr. Khunboa's educational background includes a Bachelor of Electrical Engineering from Khon Kaen University (1992), a Master of Science in Telecommunications from the University of Pittsburgh (2000), and a Ph.D. in Information Technology from George Mason University (2005). His research interests are centered on Wireless Sensor Networks (WSN), Internet of Things (IoT), and Software Defined Networks (SDN). He actively explores applications and challenges in these fields, emphasizing their relevance in modern technological ecosystems. Fulbright Scholar-in-Residence His current Fulbright grant supports collaborative research and educational initiatives, particularly in highlighting the importance of IoT in contemporary environments. He has no listed advisees or grants beyond this residency program.

Abdussalam Salamaمشاهده پروفایل

مدرس

• Network Security
• IoT Security
• Cloud Security
• +۴ مورد دیگر

Dr. Abdussalam Salama is a Lecturer in Computer Networks and Cybersecurity at Sheffield Hallam University's School of Computing and Digital Technologies. He holds a PhD in Computer and Communication Networks (2020) and industry certifications such as CCNP and CCSP. His expertise spans network security, IoT security, cloud security, and Quality of Service (QoS) in wireless networks. He actively contributes to EU-funded projects like Digital Innovation for Growth (DIfG), focusing on SME digital transformation. Education: PhD in Computer and Communication Networks, Sheffield Hallam University (2020) MSc Telecommunication and Electronic Engineering, Sheffield Hallam University (2015) BSc Electrical and Electronic Engineering, University of Tripoli (2001) Research Interests: Network security, IoT security, cloud security, QoS/QoE optimization, Software-Defined Networks (SDN), and eHealth applications. He leads projects on SASE/SD-WAN for SMEs and adaptive eHealth systems. Collaborations: EU-funded Digital Innovation for Growth (DIfG) project Rotherham Foundation Trust - NHS for eHealth applications Awards: Fellow of the Higher Education Academy (FHEA) Member of the Institute of Engineering and Technology (MIET) Grants/Postgraduate Supervision: Supervises doctoral researchers in network security, cloud computing, and SASE architectures. Manages projects funded by EU initiatives and industry partnerships. Labs/Teams: Member of RIKE and ERCIF groups, collaborating on applied research and industry partnerships.

Quamar Niyazمشاهده پروفایل

استادیار

• Cybersecurity
• Computer Networks
• Applied Machine Learning
• +۳ مورد دیگر

Dr. Quamar Niyaz is an Assistant Professor in the Department of Electrical and Computer Engineering at Purdue University Northwest (PNW), located in Hammond, Indiana. He is affiliated with the College of Engineering and Sciences, focusing on cybersecurity, computer networks, and applied machine learning. His work emphasizes both technical innovation and educational tool development, including testbeds for hands-on learning. Dr. Niyaz holds a Ph.D. in Computer Science & Engineering from The University of Toledo, an M.S. and B.S. in Computer Engineering from Aligarh Muslim University, India. His research spans intrusion detection systems, malware analysis, and cybersecurity education frameworks, with a focus on making cybersecurity accessible to high-school and university students through interactive tools like visualization aids and smartphone-based learning modules. His research interests include network security, machine learning applications, and cybersecurity pedagogy. Notable projects include developing NATICUSdroid (Android malware detection), Permission-Educator (mobile permission education app), and PortableVN (network security testbeds). He also explores the societal impact of cybersecurity education on career choices and student attitudes. Teaching courses in C++/Matlab, software engineering, and computer networks, Dr. Niyaz emphasizes practical skills and ethical considerations in technology. His recent work highlights trends in hybrid cybersecurity education models, augmented reality for engineering training, and combating modern threats like GPS spoofing and UAV jamming attacks. Dr. Niyaz’s contributions bridge academia and industry through collaborative research on secure software frameworks, AR/ML integration, and autonomous systems security. His efforts aim to prepare students for challenges in a rapidly evolving technological landscape while addressing global cybersecurity needs.

Percy Shuo Liangمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +۵ مورد دیگر

Percy Shuo Liang is an Associate Professor of Computer Science and Courtesy Associate Professor of Statistics at Stanford University. He directs the Center for Research on Foundation Models (CRFM) and is affiliated with Human-Centered Artificial Intelligence (HAI), the Artificial Intelligence Lab, and the Natural Language Processing Group. His research focuses on foundational aspects of machine learning, natural language processing, and reproducible research methodologies. He co-developed CodaLab Worksheets, a platform for experiment reproducibility, and leads the Marin community for open foundation model development. Education: B.S. (2004) and MEng (2005) in Electrical Engineering and Computer Science from MIT, advised by Michael Collins. Ph.D. (2011) in Computer Science from Berkeley under Michael Jordan and Dan Klein. Postdoctoral researcher at Google (2012). Research interests include foundation models, copyright challenges in AI, data weighting strategies, model interpretability, and ethical AI. Over 30 students and postdocs have been advised, many now holding prestigious academic and industry roles. Awards include the Presidential Early Career Award (2019), Sloan Fellowship (2015), and ACM ICPC World Finals 2nd place (2002). Labs/Teams: CRFM, HAI, AI Lab, NLP Group, Machine Learning Group. Notable contributions include CodaLab Worksheets and Marin platform. Active in programming contests and piano competitions (KDFC Classical Star Search winner, 2008).

Konstanty Bialkowskiمشاهده پروفایل

دانشیار

• Wireless Communication
• Radar Systems
• Signal Processing
• +۴ مورد دیگر

Associate Professor Konstanty Bialkowski is affiliated with the School of Electrical Engineering and Computer Science at The University of Queensland (UQ). His research focuses on communication systems, passive radar, and signal processing, particularly leveraging software-defined radios (SDRs) for applications in wireless communication, biomedical imaging, and sensor integration. Key contributions include sensor architectures for multi-modal data collection (RF, vibration, acoustic), passive radar algorithms enabling 3D target localization, and low-cost biomedical imaging devices. Education: Bachelor of Science, University of Queensland Bachelor (Honours) of Engineering, University of Queensland Doctor of Philosophy, University of Queensland Research Interests: Dr. Bialkowski’s work spans communication systems , passive radar , biomedical imaging , and antenna design . He pioneers the use of SDRs for high-reliability communication, wireless sensing, and applications like stroke detection via microwave tomography. His team develops wearable electromagnetic imaging systems and low-cost clinical scanners for acute stroke diagnosis. Key Projects: Electromagnetic brain scanner prototypes for clinical use Passive radar systems for low-Doppler target detection Flexible antenna arrays for wearable medical diagnostics Lab & Team: Collaborates with interdisciplinary teams on projects involving electromagnetic imaging, sensor networks, and biomedical engineering. Notable collaborators include Prof. Amin Abbosh and Dr. Lei Guo.

Félix do Carmoمشاهده پروفایل

مدرس ارشد

• Translation Technologies
• Machine Translation
• Translation Process Research
• +۳ مورد دیگر

Dr. Félix do Carmo is a Senior Lecturer in Translation and Natural Language Processing at the University of Surrey's Centre for Translation Studies, part of the School of Arts, Humanities and Creative Industries. He holds a PhD from the University of Porto and has over two decades of industry experience as a translator, reviser, and translation company owner. His research focuses on automation of translation processes, post-editing of machine translation, and human-computer interaction in translation workflows. Key projects include the KAITER initiative exploring interactive translation editing systems and the ADAPT Centre post-doctoral work on translation technology. Teaching responsibilities include leading modules on 'Translation as Human-Computer Interaction' and 'Professional Translation Practice II'. He actively collaborates with industry partners and has published extensively on machine translation evaluation, emotion translation challenges, and translation process research. His work bridges theoretical translation studies with practical applications of AI and NLP technologies. Research highlights include studies on MT quality estimation for user-generated content, emotion-loaded text translation challenges, and the ethical implications of translation workflow automation. He co-authored the influential book 'Conducting Research in Translation Technologies' and has contributed to international conferences such as the Machine Translation Summit. Current projects emphasize improving translator-machine collaboration through intelligent tools and exploring GenAI integration in translation education. Dr. do Carmo's academic affiliations extend to the Surrey Institute for People-Centred Artificial Intelligence (PAI) and he maintains strong connections with the translation industry through consultancy and conference organizing. His work consistently emphasizes real-world applicability of research findings, fostering innovation while addressing labor and ethical considerations in an increasingly automated translation landscape.

Andrew Gilbertمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Generative Modelling
• +۶ مورد دیگر

Dr. Andrew Gilbert is an Associate Professor in Machine Learning at the University of Surrey, co-leading the Centre for Creative Arts and Technologies (C-CATS). His work bridges computer vision, generative AI, and creative industries, focusing on interpretable and human-centered systems. He leads a multidisciplinary team of 17 PhD students and has published over 100 papers in top venues like CVPR, ECCV, and BMVC. Education & Research: Gilbert earned his PhD in Computer Vision from the University of Surrey (2008) and has pioneered advancements in video understanding, style modeling, and AI-driven media production. His research integrates technical innovation with creative applications, such as AI-generated narratives and blockchain-based content rights. Research Trends: Recent work emphasizes long-term video analysis (DANTE-AD), motion-focused self-supervision (MOFO), and human-AI benchmarking (Human vs. Machine Minds). His projects often involve industry partnerships to address real-world challenges in media production and digital arts. Achievements: Best Paper at CVMP 2023, active BMVA committee member, and contributor to standards in explainable AI. His lab’s annual Gilbertine Weekend Away fosters collaborative research culture. Advising: Supervised 14 PhD completions, with ongoing projects in video diffusion models, decentralized content rights, and multimodal scene understanding. Seeks exceptional candidates for funded UK-based PhD opportunities. Key Labs: C-CATS lab explores AI’s creative applications, while his group develops tools for style transfer (NeAT), action recognition, and 3D performance capture.

Azer Bestavrosمشاهده پروفایل

استاد

• Networking
• Distributed Systems
• Cloud Computing
• +۶ مورد دیگر

Azer Bestavros is a Professor and Associate Provost for Computing & Data Sciences at Boston University, affiliated with the Department of Computer Science within the Arts & Sciences School. He joined BU in 1991 after earning his PhD from Harvard. His research focuses on networking, distributed systems, cloud computing, and cybersecurity, with notable contributions to web content distribution models, cloud resource management, and privacy-preserving analytics. He led the establishment of the BU Hariri Institute for Computing and the Open Cloud Exchange initiative to advance cloud marketplaces. Education: PhD in Computer Science from Harvard University. Research Interests: His work integrates technical and policy dimensions, addressing challenges in secure multiparty computation, formal methods for network verification, and interdisciplinary applications of computing. Recent projects include frameworks for privacy-preserving analytics and mechanisms for efficient cloud resource allocation. Grants & Advising: Advised 16 PhD students, contributed to 6 patents, and spun off 3 startups. His research has yielded over 13,000 citations and informs policy through initiatives like the Cloud Computing Caucus. Labs & Teams: Spearheaded the Hariri Institute’s cloud computing, big data, and cybersecurity programs. Currently oversees the Faculty of Computing & Data Sciences, fostering interdisciplinary collaboration across BU.

Rajan Shankaranمشاهده پروفایل

مدرس ارشد

• Network Security
• Mobile Communication Protocols
• Internet of Things
• +۴ مورد دیگر

Rajan Shankaran is a Senior Lecturer at Macquarie University's School of Computing, part of the Faculty of Science and Engineering. He serves as Course Director for postgraduate programs in Networking and IoT, and chairs the IEEE VTS NSW Chapter. His roles include membership in the University Academic Senate Curriculum Subcommittee and representation on the FSE Faculty Board. Education: MBA (MIS) from Maastricht School of Management; M.Sc. (Hons.) and Ph.D. in Network Communications and Security from University of Western Sydney. Research focuses on Network Security, Mobile Communication Protocols, IoT, Network-on-Chip, and Medical Implant Security. He has led projects like 'Digital Health Records Storage and Analysis for Global Patients' and organized IEEE events such as NOMS 2017. Notable awards include IEEE Senior Member status. Recent work includes publications on wireless network security, optimization algorithms, and IoT-enabled healthcare systems. He advises on over 70 research outputs and has contributed to 4 major projects addressing cybersecurity and network efficiency. Labs/Teams: Active in the Future Communications Research Centre, collaborating on 5G/IoT security and edge computing applications.

Sundeep Ranganمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Information Theory
• +۵ مورد دیگر

Sundeep Rangan is a Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, and Associate Director of NYU WIRELESS, an industry-academic research center focused on next-generation wireless systems. He holds a B.A.Sc. from the University of Waterloo, Canada, and M.Sc. and Ph.D. from UC Berkeley, all in Electrical Engineering. His research spans wireless communications, signal processing, information theory, and control systems. He co-founded Flarion Technologies (acquired by Qualcomm) and contributed to Flash OFDM, a precursor to 4G/LTE systems. Education: Bachelor of Applied Science, Electrical Engineering, University of Waterloo (1992) Master of Science, Electrical Engineering, UC Berkeley (1995) Doctor of Philosophy, Electrical Engineering, UC Berkeley (1997) His research focuses on millimeter-wave 5G/6G systems, approximate message passing algorithms, and wireless networking. Key contributions include channel modeling via generative neural networks and energy-efficient mmWave receiver design. He has received the IEEE Fellow distinction and led projects funded by NSF, OPPO, and industry partners. Notable collaborations include work on cloud-based robot control using 5G edge computing (with Ludovic Righetti) and multi-array designs for UAV communications. His teaching includes machine learning and communication theory courses.

Mea Wangمشاهده پروفایل

استاد

• Networking systems and algorithms
• Multimedia networking
• Cloud computing
• +۴ مورد دیگر

Professor Mea Wang is a faculty member in the Department of Computer Science at the University of Calgary, affiliated with the Faculty of Science. She leads the NetMedia.Sys lab, focusing on bridging computing and networking in systems like multimedia and cloud environments. Her work emphasizes enhancing Quality-of-Service (QoS) for providers and Quality-of-Experience (QoE) for users. Education: Bachelor of Computer Science (Honours), University of Manitoba (2002) Master of Applied Science (MASc), University of Toronto (2004) Doctor of Philosophy (PhD), University of Toronto (2008) Research Interests: Networking systems, multimedia streaming, cloud computing, distributed systems, extended reality (XR), data science, and accessibility technologies for neurodivergent populations. Her lab develops open-source tools like iStream and collaborates with industry partners such as Cybera and AT&T. Recent Research Directions: Digital accessibility for physical spaces, AR/VR systems for nonspeaking autistic individuals, and optimization of multimedia distribution in heterogeneous networks. Her work spans over 60 publications in top conferences/journals, with a focus on practical implementations and industry impact. Awards: University of Calgary Research Excellence Chair (2024) Parex Innovation Fellowship (2023) Order of the University of Calgary (2022) PEAK Scholar Award (2019) Labs & Teams: Director of the NetMedia.Sys lab, which houses advanced infrastructure including server clusters, IoT devices, and extended reality gear. Current projects include digital twins, immersive education tools, and SDN-based streaming optimizations.

Shih-Chun Linمشاهده پروفایل

دانشیار

• Networking
• Machine Learning and AI
• Communications
• +۷ مورد دیگر

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, part of the College of Engineering. His research focuses on wireless software-defined networking systems, IoT, cyber-physical systems, and communications technologies. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2017). His research interests include machine learning applications in networking, network function virtualization, and wireless communication in challenging environments such as underground and underwater systems. He has contributed to advancements in edge computing, vehicular networks, and satellite communication protocols. Dr. Lin has been recognized with awards including the 2020 Distinguished TPC Member Award at IEEE INFOCOM and the 2016 Best Student Paper Award Runner-up at IEEE SCC. His work emphasizes practical implementations alongside theoretical analysis, addressing challenges in next-generation cellular networks and 6G technologies. His publications span topics such as satellite swarm dynamics, federated learning in edge networks, and optical cross-connect architectures. Collaborations focus on integrating AI-driven solutions for network optimization and resilience.

Mihail Sichitiuمشاهده پروفایل

استاد

• Wireless Networking
• Multi-hop Networking
• Wireless Local Area Networks
• +۵ مورد دیگر

Mihail Sichitiu is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His work focuses on wireless networking, particularly multi-hop networks and UAV communication systems. Ph.D. (2001), Electrical Engineering, University of Notre Dame M.S. (1998), Electrical Engineering, University of Notre Dame M.S. (1996), Electrical Engineering, Politechnica University of Bucharest B.E. (1995), Electrical Engineering, Politechnica University of Bucharest Research spans wireless networking, 5G UAV communication, and spectrum analysis. Recent work includes aerial RF measurements, digital twin testbeds, and mmWave drone corridors. Contributed to AERPAW (NSF-funded advanced wireless testbed) and CentMesh (open-source outdoor mesh network). Collaborated with Ericsson on 5G drone research for smart agriculture.

Carlo Koppمشاهده پروفایل

مدرس

• Modelling Deception
• Cognitive Cycle Modelling
• Ad Hoc Networks
• +۹ مورد دیگر

Carlo Kopp is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on information-theoretic models of deception in social and biological systems, perceptual errors, cognitive cycles, and distributed computing. He has held adjunct roles at Monash Asia Institute (2005–2010) and ADFA@UNSW (2004), and serves as Editor-in-Chief and Research Lead at Air Power Australia since 2004. He advises parliamentary committees and media on issues like high-power electromagnetic events (e.g., NCIS LA episode 3.11). Education: PhD in Computer Science, Monash University (2000) MSc (Research) in Computer Science, Monash University (1996) BEng (Hons) in Electrical Engineering, University of Western Australia (1984) Research Interests: Modelling deception in complex systems, ad hoc networks, radar propagation, and strategic military analysis. He explores topics like disinformation effects, renewable energy in cloud computing, and cognitive biases. Awards: Best Paper Award (2002) Outstanding Teaching Award (2015) Australian Industry Certificate Award (2010) Teaching: Chief Examiner and Lecturer for courses including Network Architecture (FIT2020), Distributed Computing (FIT3142), and Advanced Network Design (FIT5011). Previously led curriculum design for Computer Networks and Telecommunications Management units. Industry Experience: 20+ years as a software/hardware engineer, project manager, and consultant in embedded systems, operating systems, and strategic technology planning. Managed ISO9001 accreditation for an Australian computer manufacturer. Community Work: Advised US Congressional bodies and testified before Australian parliamentary committees on disinformation and cybersecurity. Serves as a Fellow of the Lean Systems Society and Associate Fellow of AIAA.