جستجوی استاد راهنمای دانشگاهی

Mahrukh Khanمشاهده پروفایل

استادیار

• Electromagnetics
• RF & Microwave Circuits
• Antennas
• +۷ مورد دیگر

Mahrukh Khan is an Assistant Professor of Electrical and Computer Engineering at The College of New Jersey (TCNJ). She holds a Ph.D. from the University of Missouri-Kansas City (2017), an M.Sc. from the University of Engineering and Technology, Lahore (2011), and a B.Sc. from the same institution (2007). Her research focuses on electromagnetics, microwave circuits, antennas, and 5G/6G communication technologies. Dr. Khan’s academic roles include service on TCNJ committees such as the School of Engineering Curriculum Committee and the Diversity, Equity, and Inclusion Committee. She teaches courses like Engineering Electromagnetics, Communication Systems, and Wireless and Communications Laboratory. Her research lab, the Microwave and Wireless Communication Lab (MWCL), develops advanced antenna systems and wireless communication solutions. Her work emphasizes antenna miniaturization, radiation pattern optimization, and reconfigurable antenna arrays for 5G/6G applications. Notable projects include NSF-funded research on antenna design and a smart cloth tracking system. Recent contributions include papers on radiation reconfigurable antennas, beamforming analysis, and substrate integrated waveguide leaky wave antennas. Grants: NSF Engineering Research Initiation Grant (2022), TCNJ MUSE Grant (2022) Awards: 2024 TCNJ Early Career Faculty Excellence Award, IEEE AP-S Young Professional Ambassador (2022) Professional Affiliations: IEEE Young Professionals, IEEE Antennas and Propagation Society She actively contributes to conferences like IEEE International Symposium on Antennas and Propagation and serves as a reviewer for IEEE journals. Her lab facilities include antenna fabrication tools and advanced simulation software, supporting student research in microwave and wireless systems.

McKay Cunninghamمشاهده پروفایل

استاد

• Constitutional Law
• Civil Rights
• Women’s Reproductive Rights
• +۵ مورد دیگر

McKay Cunningham is a Professor and the Director of Graduate Initiatives at the College of Idaho, where he also serves as the Principal Designated School Official (PDSO). With over 13 years of experience as a tenured law professor at institutions including Concordia Law School and the University of Idaho, he specializes in constitutional and property law. His professional background includes nine years in legal practice, featuring a clerkship at the Eleventh Circuit Federal Court of Appeals, private practice in Texas, and a role as Staff Attorney for the Texas Supreme Court. Education: J.D., Baylor Law School (2000) B.A., English Literature and Philosophy, Baylor University (1997) Research Focus: Cunningham's scholarship centers on pressing legal and societal issues, particularly constitutional law, civil rights, and digital privacy. His interdisciplinary research examines representational democracy, affirmative action, reproductive rights, and the impact of technology on legal sovereignty. Recent work explores algorithmic governance in elections, international data regulation, and evolving privacy frameworks in the Internet of Things era. Publications Overview: His 12 law review articles demonstrate sustained examination of privacy law evolution, constitutional tensions in governance, and property rights intersections. Earlier publications addressed aviation liability and disability accommodations in education. A consistent theme across his work is the reconciliation of traditional legal doctrines with emerging technological and global challenges. Professional Engagement: Beyond academia, Cunningham actively contributes to public discourse through NPR/PBS commentary on constitutional matters, legislative testimony in Idaho, and op-eds in local media. This bridges his scholarly expertise with practical policy impact.

Soumaya Yacoutمشاهده پروفایل

استاد

• Industrial Engineering
• Operations Management
• Operations Research
• +۷ مورد دیگر

Soumaya Yacout is a Full Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal. She holds a Doctorate in Science from George Washington University and has been a leading academic in industrial engineering and artificial intelligence for over two decades. Her research focuses on Industry 4.0, predictive maintenance, and data-driven decision-making. Key projects include the Intelligent Cyber-Physical Systems Lab, developing cyber-physical platforms for Industry 4.0 factories, and creating algorithms for big data analysis in manufacturing systems. She also leads the CĒOS Net network, advancing smart maintenance strategies for heavy-duty electrical buses. Yacout has supervised over 27 PhD and Master’s students, with notable alumni contributing to sectors like aerospace, automotive, and smart manufacturing. Her work integrates AI, optimization, and machine learning to address complex industrial challenges, including fault diagnosis, prognosis, and real-time decision-making systems. Her recent publications emphasize AI applications in maintenance, digital twins, and predictive modeling. She leads interdisciplinary teams and collaborates with industry partners on projects funded by IVADO and NSERC, driving innovation in sustainable manufacturing and smart infrastructure.

Elizabeth Tilleyمشاهده پروفایل

دانشیار

• Global Health Engineering
• Sustainable Urban Services
• Sanitation Systems
• +۵ مورد دیگر

Prof. Elizabeth Tilley is an Associate Professor at ETH Zürich's Department of Mechanical and Process Engineering and Deputy Head of the Institute of Design, Materials and Fabrication. She holds a PhD in Economics from ETH Zurich and has extensive experience in sanitation, water, and solid waste systems in low-resource settings. Her work bridges engineering, economics, and public health, focusing on sustainable urban services in the Global South. She has led projects in Malawi, Nepal, and Central America, emphasizing equitable technologies and policy interventions. Key research areas include solid waste management impacts on public health, air quality, and sanitation systems. She co-founded the Global Health Engineering chair at ETH, integrating technical and social dimensions of development challenges. Prof. Tilley also serves as an Honorary Research Fellow at the University of KwaZulu-Natal and an Adjunct Professor at the University of Victoria, Canada. She is an Associate Editor for Water SA and the Journal of Water, Sanitation, and Hygiene for Development . Her recent work highlights interdisciplinary approaches to waste governance, including studies on open burning's health impacts, low-cost waste treatment technologies, and migrant integration in urban waste practices. She collaborates with institutions like Eawag and Sandec, emphasizing participatory design in resource-constrained environments.

Michael Bruenigمشاهده پروفایل

استاد

• Robotics
• Cybersecurity
• Data Innovation
• +۶ مورد دیگر

Professor Michael Bruenig is the Head of School for the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ), a position he has held since 2016, with an interim role as Head of UQ’s Business School from 2019–2021. He previously led the CSIRO’s $140m National Research Flagship on Digital Productivity and co-founded Data61. With a PhD from RWTH Aachen University, his career spans automotive R&D in Germany, Silicon Valley, and Australia. He holds a Master’s and PhD in Science from RWTH Aachen University, Germany. His research focuses on strategic innovation, entrepreneurship, and translating research into industry impact through ventures like UQ Cyber, the National Industry 4.0 Energy Testlab, and the QLD Government AI Hub. He pioneered UQ’s Bachelor of Computer Science, Master of Cyber Security (based on US NICE Framework), and online Master of Business Analytics. His work spans robotics, sensor networks, and terahertz technology, with recent articles addressing lidar-based navigation, terahertz imaging, and cybersecurity. He advises startups and sits on boards, driving commercialization and spin-offs. Key initiatives include UQ Innovate and UQ Ventures, fostering student and faculty entrepreneurship. Labs and teams include collaborations on AI, Industry 4.0, and energy systems. His leadership emphasizes cross-disciplinary projects and curriculum innovation in tech and data fields.

• Social Justice
• Criminal Justice System
• Affective Design
• +۳ مورد دیگر

Rohan Lulham is a design researcher, practitioner, and educator at the Design Lab within the School of Architecture, Design and Planning at the University of Sydney. He holds a PhD and specializes in transdisciplinary research at the intersection of design, psychology, and criminal justice. His work focuses on leveraging design methods to drive social change, particularly in transforming criminal justice systems and understanding affective processes in designed environments. His research interests include the role of design in social justice, the psychological impact of spaces, and the application of affective theory to design innovation. He has led major projects in justice, mental health, and business contexts, emphasizing the importance of collaborative and participatory design approaches. Rohan has co-authored influential publications, including "Youth Crime, Youth Justice and Children's Courts in NSW" (2024) and contributed to global discussions on prison reform and humane detention systems through works like "Towards Humane Prisons" (2019). His recent work explores affect-conditioned image generation (2024) and speculative design for future cities (2024), showcasing his expanding interdisciplinary reach. Notable contributions include advocating against the segregation of children in detention and designing equitable AV systems for court-custody communication. He collaborates with governments and NGOs, such as Corrective Services NSW, to implement evidence-based corrections strategies. His lab, the Design Lab, fosters innovation in socially responsive design, emphasizing ethical and human-centered practices.

Risto Kosonenمشاهده پروفایل

استاد

• HVAC Technology
• Indoor Climate
• Energy Efficiency in Buildings
• +۵ مورد دیگر

Professor Risto Kosonen holds a professorship at Aalto University's Department of Energy and Mechanical Engineering, focusing on HVAC technology, energy efficiency in buildings, and indoor climate systems. His research integrates digitalization and IoT for smart building solutions. He leads projects on energy-efficient building systems and has authored over 320 international publications. Kosonen chairs the Federation of Finnish HVAC associations and the Indoor Climate Association, promoting industry-academia collaboration globally. His work aligns with UN SDGs for sustainable cities and climate action. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2006) Licentiate degree in Engineering and Technology, Helsinki University of Technology (1990) Research Interests: Thermal comfort and ventilation system design Energy efficiency in HVAC systems Building energy resilience to climate change Integration of renewable energy in building systems Awards and Recognition: Rydberg Gold Medal (2013) for research in indoor air quality REHVA Fellow distinction Best Paper Awards in Building and Environment Journal (2016) and Shanghai Ventilation Conference (2015) Projects and Grants: EU-funded HumanIC project (2024-2027) on human-centric HVAC systems B2RECoM: Smart energy systems in building communities BlockchainCC: Urban climate resilience strategies Labs and Collaborations: Active in Aalto's Energy Efficiency and Indoor Climate research groups, collaborating with IBPSA Nordic and global industry partners like REHVA and CCHVAC.

Endrowednes Kuantamaمشاهده پروفایل

مدرس

• Internet of Drones
• Autonomous Systems
• Robotics Control
• +۳ مورد دیگر

Dr. Endrowednes Kuantama is a Lecturer in IoT/Networking at Macquarie University's School of Computing, appointed in 2023. He holds a PhD from Oradea University, Romania, as an ERASMUS MUNDUS scholar. Previously, he served as an Assistant Professor at Kyungsung University, South Korea, and a Postdoctoral Research Fellow at Macquarie University. His research focuses on autonomous drones, IoT integration, sensor fusion, and robotics control systems. He leads projects like Deep Vision in Autonomous Underwater 3D Mapping and Bonding Through Coding , and contributes to the Drone Lab, exploring aerial manipulation, SLAM algorithms, and machine learning applications. He has authored 27 publications in journals, conferences, and books, and reviews for the Drone and Aerospace Journal . His work spans drone stability analysis, control systems, and payload delivery optimization. Key projects include Deep Vision in Autonomous Underwater 3D Mapping (2025-2026) Bonding Through Coding (2024-2025) His research emphasizes drone-based solutions for logistics, security, and environmental monitoring, with recent advancements in LiDAR-based tracking, cooperative drone systems, and emergency battery services.

Yan Liمشاهده پروفایل

مدرس

• IoT
• Mobile Computing
• Wireless Sensor Networks
• +۷ مورد دیگر

Dr. Yan Li is a Lecturer in IoT and Networking at the School of Computing, Macquarie University. She holds a PhD in Electrical and Electronic Engineering from the University of Melbourne and a Master of Research in Electronic Engineering from the University of Technology Sydney. Previously, she was a Research Fellow at the Telstra-UoW AIoT Hub. Her research focuses on IoT, inertial navigation, mobile computing, wireless sensor networks, and machine learning applications in sensor data analytics. She has been recognized with the Michael Richey Medal and a DIN Pilot Project Grant, and contributed to initiatives like the Future Communications Research Centre and Smart Green Cities Research Centre. Education: Bachelor of Engineering in Aerospace Engineering, Northwestern Polytechnical University PhD in Electrical and Electronic Engineering, University of Melbourne Master by Research in Electronic Engineering, University of Technology Sydney Research interests include: IoT and networking infrastructure Indoor localization and tracking systems Wearable sensor technologies Machine learning for sensor data analytics Healthcare mobility monitoring Smart home situational awareness Notable awards and grants include the Michael Richey Medal (2023), DIN Pilot Project Grant (2022-2023), and the 2023 Faculty of Science and Engineering Award for Inter-School Collaboration. Her work spans over 300 citations and 25 research outputs, emphasizing practical applications in telecommunications and smart environments. Advising and grants: Supervises PhD/Master students in IoT, localization, and machine learning. Active in collaborative projects like the Future Communications Research Centre, focusing on IoT and smart infrastructure solutions. Labs/Teams: Affiliated with Macquarie's Future Communications Research Centre and Smart Green Cities Research Centre, advancing IoT and sustainable urban technologies.

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.

• Applied Electromagnetics
• Wireless Communications
• Antenna Design
• +۵ مورد دیگر

Dr. Xingqi Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He holds adjunct professorships at University College Dublin (Ireland) and has held visiting positions at the University of Toronto and Queen Mary University of London. His research focuses on applied electromagnetics and wireless communications, emphasizing high-performance computational models for 5G/6G/THz systems, intelligent transportation, underwater communications, IoT, and biomedical applications. Education: B.Sc. (Honors) from Harbin Institute of Technology, M.A.Sc. and Ph.D. from the University of Toronto. Research interests include physics-based wireless channel modeling, radio wave propagation in diverse environments, multiphysics modeling for electromagnetic and biomedical systems, reconfigurable intelligent surfaces (RIS), antenna design, and machine learning applications in communications. He leads a Horizon 2020-funded project on future wireless networks and collaborates with global academia and industry. Awards: ACES Early Career Award, RIA Charlemont Award, and multiple best paper awards. He serves as an associate editor for IEEE journals and technical committee roles in flagship conferences. Teaching: Currently teaches ECE 209A/B (Fundamentals of Electrical Engineering) in 2025 terms. His group oversees projects in channel modeling, integrated sensing/communication, and machine learning-based parametric modeling.

Yong Kwon Choمشاهده پروفایل

استاد

• Construction automation and robotics
• Infrastructure maintenance
• IoT-based safety technology
• +۳ مورد دیگر

Dr. Yong Kwon Cho is Professor in the School of Civil and Environmental Engineering at Georgia Tech. His research develops robotics and sensing technologies for construction automation, infrastructure maintenance, and disaster response. He leads the RICAL laboratory pioneering AI applications in built environments. Research thrusts include: Human-robot collaboration on construction sites LiDAR-based structural inspection systems UAV-UGV coordination for 3D mapping Honored with the Tucker-Hasegawa Award (2022) for sustained contributions to construction robotics and NSF CAREER award (2011). Previously taught at University of Nebraska-Lincoln and University of Wisconsin-Platteville.

Eliane Bodaneseمشاهده پروفایل

مدرس ارشد

• Sensor Networks
• Internet of Things (IoT)
• Wireless Communication Systems
• +۴ مورد دیگر

Dr. Eliane Bodanese is a Senior Lecturer and Director of Postgraduate Taught Programmes at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on sensor networks, IoT, human activity recognition, and resilient communication systems. She holds a PhD in Electronic Engineering from Queen Mary and has published over 80 papers. Her work is funded by EPSRC and BT, with grants addressing emergency communication, medical applications, and sensor integration. She reviews for top journals like IEEE Transactions on Communications and serves on the EPSRC Peer Review College. Education: BEng in Electrical Engineering (Federal University of Paraná), MSc in Electrical Engineering (Federal University of Santa Catarina), PhD in Electronic Engineering (QMUL). Key Research Projects: Rescue Localisation Network (£4,920), Support for Depression Management (£16,300), India-UK Advanced Technology Centre (Phase 1 & 2), Global Partnerships Fund (UK-China IoT collaboration). Teaching includes Communications and Networks, C Programming, and IoT Communication Technologies. She advises on grants, chairs conferences, and collaborates internationally on smart systems and healthcare applications.

Maged Elkashlanمشاهده پروفایل

مدرس ارشد

• Cooperative communication
• MIMO systems
• Cognitive radio
• +۳ مورد دیگر

Dr. Maged Elkashlan is a Senior Lecturer at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. His research focuses on cooperative communication, MIMO systems, cognitive radio, wireless security, millimeter wave communications, and 5G technologies. He leads projects such as the Sensing and Security for Smart IoT (funded by the British Council) and MiMiWaveS (funded by EPSRC). His work emphasizes reconfigurable intelligent surfaces (RIS), FAS (Fluid Antenna Systems), and symbiotic backscatter communication. He contributes to the Centre for Networks, Communications and Systems , advancing 6G research and applications. Research Interests: His areas include secure wireless systems, massive MIMO, and smart IoT networks. Recent publications explore RIS-aided localization, NOMA systems, and privacy-preserving wireless sensing. He collaborates on grants addressing mmWave communication challenges and IoT security. His work bridges theoretical advancements with practical implementations in emerging communication technologies.

Xuyun Zhangمشاهده پروفایل

دانشیار

• Scalable Machine Learning
• Big Data Privacy
• Cyber Security
• +۵ مورد دیگر

Dr. Xuyun Zhang is an Associate Professor at the School of Computing, Macquarie University, Australia. He holds a PhD from University of Technology Sydney (2014), and Master's/Bachelor's degrees from Nanjing University (China). His research focuses on scalable machine learning, big data privacy, cyber security, edge computing, and IoT. He has led 11 research projects including Next-Gen Banking (2024-2028) and Scalable Document Intelligence (2022-2027). His work spans secure AI, privacy-preserving techniques, and edge-cloud collaboration. He has received awards such as the Chancellor's Best PhD Thesis (2015) and Early-Career Research Excellence (2019). His recent publications address areas like metaverse service offloading, hypergraph trust prediction, and federated learning frameworks. He actively organizes conferences like the Australasian Information Security Conference (2017) and chairs industry-research initiatives in cloud computing and mobile networking. Education: PhD (UTS, 2014), MEng (Nanjing University, 2011), BSc (Nanjing University, 2008). Teaching includes Machine Learning in Cybersecurity, Data Science, and Software Engineering. Key research contributions include privacy-preserving publishing, edge computing offloading methods, and blockchain-based secure access management. His projects often integrate AI with cloud-edge systems to address real-world challenges in finance, healthcare, and smart manufacturing.