جست‌وجوی استاد و پژوهشگر

Hisham Jawardمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Hisham Jaward is a Lecturer in Computing and AI at the University of Suffolk within the School of Business, Arts, Social Sciences and Technology. He joined Suffolk after twelve years at Monash University and prior research roles at the University of Bristol (funded by QinetiQ) and Imperial College London (funded by BAE Systems and QinetiQ), where he developed algorithms for military communications, target tracking, and image super-resolution. Research Interests His expertise spans computer vision, machine learning, and deep learning with applications in medical imaging (knee cartilage segmentation), IoT security (intrusion detection), communication systems (mm-wave/RoF), and image processing. Funded projects include military interference mitigation, airborne contaminant tracking, and semantic segmentation frameworks. Publication Trends Recent work (2020-2022) emphasizes deep learning integration across medical imaging (Neurocomputing, Artificial Intelligence in Medicine) and IoT security (Sensors, IEEE Access), featuring techniques like variational autoencoders, diffeomorphic mapping, and focal loss. Collaborations include Alfred Hospital for cartilage analysis and Motorola Solutions for radio systems. Supervision and Grants Successfully supervised four research students with projects on mm-wave communication systems and cartilage segmentation (collaborating with Alfred Hospital). Current supervision includes: Motorola Solutions-sponsored research on machine learning for interference mitigation in two-way radio systems Flow models development for image/video compression Teaching experience encompasses ten undergraduate/postgraduate modules at Monash including deep learning, probability theory, and networking.

Natalia Malinaمشاهده پروفایل

استادیار

• Environmental Chemistry
• Water Quality
• Contaminant Fate and Transport
• +۳ مورد دیگر

Dr. Natalia Malina serves as Assistant Professor in the Department of Chemistry and Biochemistry at Florida Atlantic University, where her research centers on environmental chemistry and aquatic contaminant dynamics. Her work addresses critical challenges in water resource protection through interdisciplinary methodologies. She earned her Ph.D. from the Russian State University of Oil and Gas, establishing foundational expertise in environmental systems analysis. Her primary research focuses on phototransformation and biodegradation of organic contaminants in water, dissolved organic matter composition, climate change impacts on water quality, and disinfection byproduct formation. She integrates laboratory experiments, field studies, and toxicological assessments to develop climate adaptation strategies for preserving drinking and agricultural water resources, with particular attention to contaminant transformation pathways and ecosystem health implications. Analysis of her 2020-2024 publications reveals consistent emphasis on water quality monitoring technologies, contaminant-organic matter interactions, and analytical method development. Key trends include community-engaged water testing, arsenic-DOM complexation mechanisms, iron interference in DOM measurements, and stable isotope applications for biodegradation studies, demonstrating strong alignment with pressing environmental health challenges. Major recognitions include: Leadership award for building Auburn University's Postdoctoral Community (2022) DAAD Individual Research Award for Doctoral Candidates and Young Academics (2018) Dr. Malina actively contributes to academic service as reviewer for Chemosphere (IF 7.1) and Environmental Science and Pollution Research (IF 5.0), while participating in departmental graduate and undergraduate programs. Her research program secures competitive funding for environmental chemistry investigations though specific grants aren't detailed in source materials. She directs the Malina Research Lab (malinalab.com), which operates at the intersection of environmental analytical chemistry and water quality management, focusing on real-world applications for contaminant monitoring and mitigation in aquatic systems.

Enjie Liuمشاهده پروفایل

استاد

• Network Applications
• Healthcare Technology
• Big Data Management
• +۴ مورد دیگر

Dr. Enjie Liu is a Professor of Network Applications at the University of Bedfordshire's School of Computer Science and Technology. She holds leadership roles as Portfolio Leader for the Undergraduate Computer Science and Technology Foundation and IRAC Postgraduate Research Lead. Her expertise spans networked applications in healthcare, big data, IoT, and wireless protocols. With a BSc from Northwest University and a PhD in Telecommunications from Queen Mary, University of London, she has over 100 peer-reviewed publications and led major EU/EPSRC projects like CARRE and Femtocell. Her research addresses healthcare monitoring, network management, and vehicular communication challenges. Enjie's work integrates medical knowledge retrieval, disease prediction, and efficient resource allocation in IoT/VANET systems. She has pioneered projects like MyHealthAvatar for patient-centric health visualization and co-developed reliable MAC protocols for safety-critical vehicular networks. Her industrial experience includes roles in China and the UK prior to joining Bedfordshire in 2003. Education BSc in Computer Science, Northwest University, China PhD in Telecommunications, Queen Mary, University of London Research Interests Dr. Liu focuses on: Healthcare IoT systems and telemedicine applications Big data analytics for disease progression modeling Wireless network optimization in vehicular and femtocell environments Secure and reliable communication protocols for critical infrastructure Her work bridges clinical needs with advanced networking technologies through projects like CARRE (EU FP7), which developed interactive visualization tools for health monitoring. Key Contributions Developed adaptive MAC protocols for VANET safety applications Designed spectrum allocation strategies for cognitive radio IoT systems Advanced femtocell network interference mitigation techniques Labs & Teams Affiliated with the Institute for Research in Applicable Computing (IRAC) and Centre for Computer Graphics and Visualisation (CCGV) . Collaborates across disciplines in health tech and telecommunications.

• Wireless Security
• Cyber-Physical Systems Security
• Location Privacy
• +۵ مورد دیگر

Bruce DeBruhl is an Associate Professor in the Computer Science and Software Engineering Department at California Polytechnic State University (Cal Poly San Luis Obispo). He is affiliated with the Computer Engineering Program and focuses on research areas including wireless security, cyber-physical systems, automotive security, and privacy engineering. His teaching portfolio includes courses such as Intro to Computer Security, Privacy Engineering, Network Security, and Hardware Security. Dr. DeBruhl holds a PhD and MS in Electrical and Computer Engineering from Carnegie Mellon University Silicon Valley (under Patrick Tague) and a BS in Electrical Engineering from Kettering University. His research explores cutting-edge topics like jamming defense algorithms for OFDM systems, security in autonomous vehicle platoons, and privacy-preserving vehicular communication protocols. Recent work includes developing interleaving algorithms to resist jamming attacks, analyzing adversarial strategies in vehicular networks, and creating educational frameworks to introduce privacy concepts to computing students. His publications span prestigious venues like IEEE WiSec, ACM SIGCSE, and Digital Humanities conferences. Though no scientific awards are explicitly listed, his prolific publication record (over 20 papers since 2010) and active involvement in cybersecurity education indicate significant contributions to the field. Current projects include vehicular radio tracking, collaborative autonomous vehicle security testing, and pedagogical innovation in CS education.

Bin Chenمشاهده پروفایل

پژوهشگر

• Optical Communications
• Cooperative Communications
• Information Theory
• +۵ مورد دیگر

Bin Chen is a researcher at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), focusing on optical communications, signal processing, and information theory. He holds a PhD from University College Dublin (2015), supported by the China Scholarship Council and Science Foundation Ireland. His roles include Postdoc positions in the Signal Processing Systems (SPS) and Electro-Optical Communication Systems (ECO) groups at TU/e, and a current guest researcher affiliation. His research emphasizes geometric shaping, coded modulation, and nonlinear channel mitigation in optical systems. Education: B.Sc. Electronic Information Science and Technology, Hefei University of Technology (2010) Ph.D. Electronics and Communications Engineering, University College Dublin (2015) Affiliations: Signal Processing Systems Group (SPS) Electro-Optical Communication Systems (ECO) Group ICT Lab Research interests include optical communication systems, cooperative communications, channel coding, and network coding. Key achievements include over 60 peer-reviewed publications and awards such as the Asia Communications and Photonics Conference Best Paper Awards (2018, 2022). He has contributed to projects like PATRIOT (coded modulation optimization) and NLCAP (nonlinear capacity maximization in optical channels). Grants and collaborations span EU-funded initiatives and industry partnerships. His work on multidimensional constellations and fiber nonlinearity models has advanced long-haul transmission systems. Current projects explore neural network-based demappers and hybrid decoding techniques.

Kermit Schoenholtzمشاهده پروفایل

استاد بالینی

• Monetary Policy
• Financial Regulation
• Financial Markets
• +۶ مورد دیگر

Kermit Schoenholtz is a Clinical Professor Emeritus in the Department of Economics at New York University’s Leonard N. Stern School of Business. He has held roles as Citigroup’s Global Chief Economist (1997–2005) and previously at Salomon Brothers. His research focuses on monetary policy, financial regulation, and macroeconomics. Schoenholtz directs the Stern Center for Global Economy and Business, promoting global economic research and outreach. Educated at Yale University (M.Phil., 1982) and Brown University (A.B., 1977), he also served as a visiting scholar at the Bank of Japan’s Institute for Monetary and Economic Studies (1983–1985). He received the NYU Stern Faculty Leadership Award (2017) and has been a member of the Council on Foreign Relations since 2016. His work includes co-authoring the textbook Money, Banking, and Financial Markets and maintaining a blog on related topics. Education: M.Phil. in Economics, Yale University, 1982 A.B., Brown University, 1977 Key Affiliations: Member, U.S. Monetary Policy Forum Member, Financial Research Advisory Committee (2015–2022) Research Interests: Schoenholtz’s work emphasizes monetary policy frameworks, financial regulatory reforms, and global economic dynamics. His recent analyses address topics such as cryptocurrency regulation, central bank independence, and post-crisis financial stability. His articles often bridge academic insights with practical policy recommendations. Awards: NYU Stern Faculty Leadership Award (2017) Advising & Grants: While no student advisees are listed, his role at Stern and contributions to policy councils reflect extensive mentorship and institutional leadership. His research has been supported by NYU and external bodies like the U.S. Treasury’s Office of Financial Research. Labs/Teams: Directs the Stern Center for Global Economy and Business, fostering interdisciplinary research on global economic challenges and business strategies.

• Marine Biology
• Fish Physiology
• Climate Change Impacts
• +۴ مورد دیگر

Dr. Jodie Rummer is a marine biologist and fish physiologist affiliated with James Cook University, leading the RummerLab. Her research focuses on understanding how fish and sharks adapt to climate change and environmental stressors, with a particular emphasis on physiological mechanisms and conservation applications. She has an h-index of 45 and over 5,900 citations, reflecting her impactful contributions to marine science. Education details are not explicitly provided in the text. Her work spans marine biology, fish physiology, and climate change impacts, with recent studies addressing shark conservation, fisheries data analysis, and physiological adaptations in marine species. She has pioneered methods to use fisheries catch data to inform conservation strategies and has highlighted the healing capabilities of neonatal sharks in warming oceans. Recent publications emphasize bridging laboratory research with field conservation, particularly in climate-ready strategies for marine ecosystems. Dr. Rummer actively advocates for academic freedom and has spoken out against political interference in scientific research. She mentors PhD student Joel Gayford and collaborates with international researchers like Prof. Duncan Irschick. Her lab (RummerLab) is known for integrating physiology with conservation, exemplified by studies published in Nature Ocean Sustainability and Journal of Experimental Biology . She also promotes women in science and has delivered seminars at JCU on evidence-based marine science.

Suman Banerjeeمشاهده پروفایل

دانشیار

• Wireless Networking
• Mobile Computing
• Network Measurement
• +۴ مورد دیگر

Suman Banerjee is an Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison, with an affiliate appointment in the Department of Electrical and Computer Engineering. He leads the WIsconsin WIreless and NetworkinG Systems (WiNGS) Laboratory, focusing on wireless/mobile networking, distributed systems, and cyber-physical systems. His research includes innovative projects like Airshark (non-WiFi interference detection), WiRover (vehicular connectivity), and Wiscape (wide-area cellular monitoring). He has received the ACM SIGMOBILE Rockstar Award (2013) and NSF Career Award (2008). Education: PhD in Computer Science from University of Maryland (2003). Teaching includes courses on mobile systems, wireless networking, and computer networks. Professional service includes chair roles at ACM MobiCom, IEEE SECON, and ACM SIGMOBILE leadership. Key contributions span spectrum sensing, vehicular networks, and network measurement techniques.

Anders Rødningsbyمشاهده پروفایل

دانشیار

• Navigation Systems
• Signal Processing
• Autonomous Systems
• +۵ مورد دیگر

Anders Rødningsby is an Associate Professor (20% position) at the University of Oslo, affiliated with the Section for Autonomous Systems and Sensor Technologies within the Institute of Transport Economics (ITS). His research focuses on navigation systems, signal processing, autonomous systems, and sensor technologies. Recent work emphasizes jamming and spoofing countermeasures in satellite navigation, UAV navigation errors, and underwater tracking algorithms. Research Interests : His interdisciplinary work spans engineering and applied physics, with a strong emphasis on practical applications such as coastal navigation security, GNSS vulnerability analysis, and drone-based photovoltaic inspection. He has contributed to advancements in probabilistic data association filters, wake detection in tracking systems, and RF interference mitigation. Publications : His publications reflect a consistent focus on navigation and signal processing challenges, from underwater tracking (2007–2009) to modern jamming detection (2023–2025). He collaborates widely, including with institutions like the Norwegian Defense Research Establishment (FFI). Grants and Advising : While specific grants are not detailed, his active publication record suggests sustained research funding. No formal advisee名单 are listed. Labs/Teams : Active within the Autonomous Systems and Sensor Technologies section at ITS, contributing to applied research in transportation and navigation technologies.

• Signal Processing
• Antenna Array Processing
• Radio Resource Management
• +۳ مورد دیگر

Mats Bengtsson is a Professor of Signal Processing at KTH Royal Institute of Technology, Stockholm, Sweden. He holds a position in the Division of Information Science and Engineering and serves as Program Director for the doctoral program in Electrical Engineering and the master program in Information and Network Engineering. His research focuses on statistical signal processing applications, including antenna array processing, radio resource management, propagation channel modeling, positioning, navigation, and sensor data analysis. Education: M.S. in Computer Science from Linköping University (1991), Tech. Lic. and Ph.D. in Electrical Engineering from KTH (1997 and 2000). Professional roles include Associate Editor for IEEE Transactions on Signal Processing and Technical Chair for IEEE SPAWC 2015. Notable recognition includes the IEEE Signal Processing Magazine Best Column Award (2019) for work on multiuser transmit beamforming. Research Interests His work emphasizes theoretical and applied signal processing in wireless communication systems, with contributions to MIMO systems, massive MIMO, OFDM, and IoT-based networks. Key areas include channel estimation, beamforming optimization, and energy-efficient communication techniques. Publications His 15 most recent articles span advancements in MIMO-OFDM, federated learning, and millimeter-wave systems. Recent topics include beam structured channel estimation for HF skywave communication, EVM mitigation in large-scale MIMO, and energy efficiency in hybrid beamforming. Grants & Awards IEEE Signal Processing Magazine Best Column Award (2019) Contributions to EU-funded METIS project on 5G technologies Teaching He oversees multiple master's and doctoral programs and teaches courses on signals and systems, matrix algebra, and sustainable information engineering. He serves as examiner and course responsible for over a dozen graduate courses in electrical and computer engineering.

Neeraj Sharmaمشاهده پروفایل

دانشیار

• Solid State Chemistry
• Materials Chemistry
• Battery Technology
• +۶ مورد دیگر

Professor Neeraj Sharma is an Associate Professor and ARC Future Fellow at the School of Chemistry, UNSW Sydney . His research focuses on Solid State Chemistry and Materials Chemistry , particularly for Battery Technology and Energy Storage . He employs advanced characterization techniques like Neutron Scattering , X-ray Diffraction , and Solid-State NMR to study material properties under real-world conditions. PhD, University of Sydney BSc (Advanced) Honours 1A, University of Sydney Graduate Certificate in University Learning and Teaching, UNSW Sydney Research Interests include designing novel materials for Sodium-ion , Lithium-ion , and Potassium-ion batteries , with a focus on In Situ Studies , Zero Thermal Expansion Materials , and New Ionic Conductors . His work bridges exploratory synthesis, structural determination, and device integration. Recent Publications highlight advancements in alkali-ion battery electrodes, recycling strategies, and structural tuning for enhanced performance. Key trends involve Operando Characterization , Doping Effects , and Nanostructuring to optimize energy storage systems. Scientific Awards : NSW Premiers Prize (2019), Australian Synchrotron Research Award (2018), RACI Rennie Medal (2018), UNSW Postgraduate Supervisor Award (2017), Tall Poppy Award (2013) Grants include major funding from ARC Future Fellowship (2021–2024), CRC Projects , and Linkage Programs for materials like Nanoporous MOFs and Hydrogen Storage Systems . He supervises PhD students such as Matthew Teusner, Michael Fenech, and Emily Cheung.

• Antennas
• Metamaterials
• Frequency Selective Surfaces (FSS)
• +۷ مورد دیگر

Associate Professor Wayne Rowe is an academic at RMIT University's School of Engineering, specializing in Electrical and Computer Engineering. He holds the rank of Associate Professor and has been with RMIT since 1998, progressing through roles including Research Fellow, Lecturer, and Senior Lecturer. His primary affiliations are within the School of Engineering's Electrical and Computer Engineering department. Research interests focus on antennas, metamaterials, frequency selective surfaces (FSS), and their integration with flexible materials. His work spans microwave, millimeter-wave, and THz frequencies, with applications in biomedical implants, energy harvesting, and IoT systems. Notable projects include DMTC Project 2.3 on composite materials, ARC-funded research on photonic antennas, and collaborations with industry partners like Cochlear and BAE Systems. Dr. Rowe leads over 20 active research projects, including supervision of topics such as metamaterial-based antennas for IoT, wearable communication devices, and machine learning applications in signal processing. He has contributed to 185+ publications, with recent work emphasizing 5G/6G systems, satellite localization, and deep learning for device authentication. His teaching covers antennas, microwave components, and electromagnetic sensing technologies. Dr. Rowe operates from RMIT's City Campus in Melbourne, Australia, and is open to supervising Masters and PhD candidates in his research areas. He is a member of the IEEE Microwave Theory and Techniques (MTT) and Antennas and Propagation (AP) societies.

Vuk Marojevicمشاهده پروفایل

دانشیار

• Wireless Communications
• Software-Defined Radio
• Open Radio Access Networks (O-RAN)
• +۷ مورد دیگر

Dr. Vuk Marojevic is an Associate Professor in the Department of Electrical and Computer Engineering at Mississippi State University (MSU), holding the Paul B. Jacob Chair. He leads research in wireless communications, focusing on open radio access networks (O-RAN), AI-driven security, and UAV (drone) communications. His work emphasizes software-defined radio (SDR), spectrum sharing, and testbed development for 5G/6G networks. Education: Ph.D. and M.S. in Electrical Engineering from Barcelona Tech–UPC (Spain) and University of Hannover (Germany), respectively. Key projects include leading NSF-funded initiatives like AERPAW and Open Artificial Intelligence Cellular (OAIC), which prototype AI-enabled control systems for cellular networks. He also co-designed the AERPAW testbed for UAV experimentation. Research interests span O-RAN security, AI at the physical layer, wireless security protocols, and vehicular communications. His contributions include open-source implementations of 4G/5G protocols and frameworks for secure slicing and intrusion detection in O-RAN deployments. He actively collaborates with industry and academic partners to advance standards for unmanned aircraft systems (UAS) in cellular networks. Publications highlight innovations in reinforcement learning for resource allocation, RIS (reconfigurable intelligent surfaces) applications, and secure UAV communications. He serves as an associate editor for IEEE Transactions on Vehicular Technology and IEEE Vehicular Technology Magazine. Current research includes prototyping zero-trust security architectures (ZTRAN) and evaluating interference mitigation in drone corridors. He mentors students in MS and Ph.D. programs focusing on wireless systems, security, and AI integration in next-gen networks.

Tan Leمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۷ مورد دیگر

Tan Le is an Assistant Professor in Electrical and Computer Engineering at Hampton University, Virginia, USA. He previously held a Research Assistant Professor position at Virginia Modeling, Analysis and Simulation Center (VMASC), Old Dominion University. He received his Ph.D. from the University of Quebec (2015), M.Eng. and B.Eng. from Ho Chi Minh City University of Technology (2004 and 2002 respectively). His research focuses on AI/ML applications in cybersecurity, IoT, 5G networks, smart healthcare, and edge computing. Key contributions include secure mobility management in vehicular networks, privacy-preserving data sharing, and AI-driven edge caching frameworks. Education Path: Ph.D. Electrical and Computer Engineering, University of Quebec, 2015 M.Eng., Ho Chi Minh City University of Technology, 2004 B.Eng., Ho Chi Minh City University of Technology, 2002 Research Interests: AI/ML for Cybersecurity and Privacy 5G and Beyond Networks Vehicular Networks and Edge Computing Smart Healthcare Systems Blockchain and Distributed Computing His recent publications emphasize AI-aided resource management (e.g., multi-timescale actor-critic learning), privacy-preserving IoT communication, and mobility-aware edge caching in vehicular networks. Collaborations with ODU focus on 5G and IoT infrastructure for DoD mission-support systems. Lab/Team Affiliations: Research involves VMASC and cross-university partnerships, particularly with Old Dominion University teams advancing cybersecurity and next-generation network solutions.

Maximilian Starkمشاهده پروفایل

مدرس

• Communication Systems
• Machine Learning
• Information Theory
• +۳ مورد دیگر

Dr. Maximilian Stark is a Lecturer at the Institute of Communications, TU Hamburg. His research focuses on machine learning-driven advancements in communication systems, particularly applying the information bottleneck method to decoding algorithms, signal processing, and quantization techniques. His work bridges theoretical information theory with practical implementation challenges in coding and channel design. Key research areas include LDPC and polar codes optimization, low-bitwidth decoding architectures, and distributed signal processing frameworks. Recent publications emphasize adaptive learning systems for error resilience under quantization constraints and hardware-efficient receiver design. Dr. Stark's academic contributions span over 20 peer-reviewed articles since 2016, with a strong emphasis on integrating machine learning principles into traditional communication engineering problems. Notable themes include neural decoding paradigms, resource-constrained quantization strategies, and distributed information compression methods. No scientific awards explicitly listed. Academic advising details and lab affiliations are not provided in source materials.