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James S. LehnertView profile

Professor

• Wireless Communication Networks
• Spread Spectrum Communications
• Signal Processing
• +5 more

James S. Lehnert is a Professor at the School of Electrical and Computer Engineering , Purdue University, where he has been since 1984. He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign (1978, 1981, 1984). His research focuses on spectrum management , CDMA systems , channel estimation , and spread spectrum communications . He has led projects for DARPA, NSF, and the Air Force Office of Scientific Research, collaborating with institutions like the University of Michigan and Ohio State University. He has authored numerous articles in top journals like IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications . His awards include the IEEE MILCOM Lifetime Achievement Award (2009) and recognition as a Highly Cited Researcher (2000-2010). He is also a Fellow of the IEEE for contributions to spread-spectrum communications. Dr. Lehnert has advised over 30 graduate students, many of whom now hold prominent roles in academia and industry. He teaches advanced courses such as ECE544: Digital Communications and ECE639: Error Control Coding . His research group operates the Spread Spectrum and Satellite Communications Research Laboratory (S3CRL).

• System Security
• Privacy
• Cybersecurity
• +3 more

Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).

Julien ArinoView profile

Professor

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +3 more

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Luca Maria AielloView profile

Professor

• Data Science
• Computational Social Science
• Social Media
• +7 more

Luca Maria Aiello is a Professor and Data Science Research Group Leader at the IT University of Copenhagen 's Department of Digital Design. He heads the education program for the Master of Data Science degree while co-leading the Networks, Data, and Society research group. His research spans computational social science , social media analysis , and network science , with recent focus on: Urban social connectivity patterns Sleep quality and social dimensions Financial collective action on Reddit COVID-19 pandemic's impact on dreaming Climate change discourse on TikTok Current research projects include COCOONS (Collective Coordination through Online Social Media) funded by the Carlsberg Foundation (2023-2025), and multiple grants for the International Conference on Computational Social Science (IC2S2) from Danish Data Science Academy and Otto Mønsteds Fond. Dr. Aiello has received significant recognition including the 2022 Research Environment of the Year award, with his work being covered by 16 news outlets , 47 X (Twitter) users , and 3 Facebook pages .

Luisa GiulianiView profile

Associate Professor

• Structural Engineering
• Fire Safety Engineering
• Structural Robustness
• +3 more

Luisa Giuliani is an Associate Professor at the Department of Civil and Mechanical Engineering Structures and Safety at the Technical University of Denmark. Her expertise spans structural robustness, nonlinear structural behavior, and fire safety engineering, with a focus on progressive collapse and infrastructure resilience. Education: PhD in Structural Engineering International Experience: Visiting researcher at TU Hamburg-Harburg (2008-2009, 2004-2005), Erasmus exchange student in Germany (1999) Her research investigates structural responses to exceptional actions like fire and explosions, contributing to sustainable design practices. Key projects include hydrogen tunnel safety (HyTunnel-CS) and fire protection of bridge cables. She employs advanced tools such as Abaqus, Ansys, and Fire Dynamics Simulator (FDS) for modeling. Recent work addresses fire-induced glass breakage, tunnel explosion mitigation, and hydrogen vehicle fire spread. She serves on scientific committees for conferences like NordicSteel and SEMC, organizing sessions on collapse safety and fire vulnerability. Languages: Italian (mother tongue), English and German (advanced), Danish (intermediate), French (basics). Software expertise includes FEM/CFD programs (Abaqus, FDS) and coding (Visual Basic .Net, APDL).

John R. BarryView profile

Professor

• Communication Theory
• Wireless Communications
• Optical Communications
• +4 more

John R. Barry is a Professor at the School of Electrical and Computer Engineering, Georgia Institute of Technology. He holds a Ph.D. in Electrical Engineering from UC Berkeley (1992) and previously worked at Bell Communications Research, IBM, Hughes Aircraft, and General Dynamics. His research spans communication theory , wireless systems , optical communications , and magnetic recording , with a focus on modulation, coding, synchronization, and equalization . Education : B.S., State University of New York at Buffalo (1986) M.S., University of California at Berkeley (1987) Ph.D., University of California at Berkeley (1992) His recent journal and conference publications address multi-cell MIMO , polar codes for recording , two-dimensional magnetic recording , and joint radar-communication systems . Articles span IEEE Transactions on Magnetics , IEEE Transactions on Communications , and Globecom conferences, covering topics like timing recovery at low SNR , iterative equalization , and space-time coding . Scientific Awards : David J. Griep Memorial Prize (1992) Eliahu Jury Award (1993) NSF Research Initiation Award (1993) IBM Faculty Development Award (1993) Senior Member, IEEE He has advised 15 Ph.D. students and 2 M.S. students, including Hyuncheol Park , Chen-Chu Yeh , and Elnaz Sadeghian , all pursuing careers in academia and industry. His lab has received grants for iterative timing recovery , multi-input multi-output (MIMO) systems , and optical wireless communication . Professor Barry's research group has contributed to patents in timing recovery and MIMO detection, with applications in wireless and optical systems. He served as Guest Editor for the IEEE Journal on Selected Areas in Communications and Technical Program Chair for IEEE Globecom 2013 .

• Telecommunications
• Wireless Communication
• Terahertz Technology
• +7 more

Kazuhiko Tamesue is an Associate Professor at the Faculty of Science and Engineering , Waseda University , with a focus on Terahertz Communication , Artificial Intelligence , and IoT Network Security . His academic journey spans academia and industry, including long-term roles at Panasonic Corporation (1991–2009) and current leadership in advanced wireless systems since 2022. Research Areas : Telecommunications, Wireless Hardware, Data Science, Machine Learning, Atmospheric Sensing Key Contributions : Pioneering 300GHz OFDM transceivers, AI-driven GNSS spoofing detection, and dual-frequency THz radar for cloud physics Projects : NICT-funded terahertz networks (2023–2024), ultra-low-latency systems (2022–2024), and security-enhancing radar technologies His 15 most recent publications (2024–2008) demonstrate expertise in (1) terahertz propagation for NTN/HAPS platforms, (2) machine learning for security (LSTM, GANs), and (3) next-generation IoT protocols (LPWAN, distributed ledger). He holds 20+ patents in antenna design, direct-conversion receivers, and power line communication. As an IEEE and IEICE member, he contributes to standards in 5G/6G and EMC.

Dimitris A. PadosView profile

Professor

• Communications Theory
• Wireless Communications
• Cognitive Radio Networks
• +7 more

Dimitris A. Pados is a Professor and I-SENSE Fellow at Florida Atlantic University, holding the prestigious Charles E. Schmidt Eminent Scholar in Engineering position. He serves as Director of both the Center for Connected Autonomy and Artificial Intelligence and the ExtremeComms Laboratory within the Department of Electrical Engineering and Computer Science in the College of Engineering. Prior to joining FAU in 2017, he spent 20 years at the University at Buffalo, where he held positions ranging from Assistant Professor to Clifford C. Furnas Chair Professor. Professor Pados' research spans two primary domains: Communications Theory and Systems, and Machine Learning and Adaptive Signal Processing. His work in communications includes Cognitive Software-defined Radios and Networks, Interference Avoiding Networking, Secure Wireless Communications, Underwater Cognitive Hi-rate/Long-distance Acoustic Communications, and Autonomous/Unmanned System Communications. In signal processing, he specializes in L1-norm Principal-component Analysis (L1-PCA), Robust Feature Extraction from Faulty Data Sets, Digital Data Embedding/Hiding, and Compressed-sensed Imaging and Video. His research has resulted in numerous high-impact publications and several best paper awards. His recent publications demonstrate a strong focus on robust signal processing techniques, particularly L1-PCA methods, and applications in wireless communications, video processing, and secure transmissions. The research shows consistent contributions to both theoretical foundations and practical implementations, with increasing emphasis on cognitive radio networks, underwater communications, and autonomous systems. 2013 ISWCS Best Paper Award in Physical Layer Communications and Signal Processing 2003 IEEE Transactions on Neural Networks Outstanding Paper Award IEEE ICT 2001 Best Paper Award 2010 IEEE ICC Best Paper Award in Signal Processing for Communications I-SENSE Fellow Charles E. Schmidt Eminent Scholar in Engineering Professor Pados has secured significant research funding through sponsored projects, particularly in wireless communications, signal processing, and autonomous systems. His work on software-defined radio platforms, underwater acoustic networks, and cognitive networking demonstrates strong industry and government interest. He has successfully translated theoretical research into practical implementations, as evidenced by his team's win in the Internet of H2O competition. As Director of the ExtremeComms Laboratory, Professor Pados leads a research group focused on communication systems for challenging environments. The laboratory provides opportunities for graduate students to work on cutting-edge projects in cognitive radio, underwater communications, and autonomous systems. His leadership of the Center for Connected Autonomy and Artificial Intelligence further expands research opportunities across multiple disciplines at Florida Atlantic University.

Maria HalkidiView profile

Associate Professor

• Data Mining
• Machine Learning
• Recommender Systems
• +6 more

Maria Halkidi is an Associate Professor in the Department of Digital Systems at the University of Piraeus, Greece, where she conducts cutting-edge research in data mining and machine learning with over two decades of academic experience. Her educational background includes: Bachelor's degree in Informatics from the University of Piraeus (1997) Master's degree from Athens University of Economics and Business (1999) Ph.D. from Athens University of Economics and Business (2003) Dr. Halkidi's research focuses on fundamental and applied aspects of data mining, particularly recommender systems, graph data mining, cluster validity assessment, and distributed data mining. Her work bridges theoretical frameworks with practical implementations in sensor networks, social media, and real-time analytics, contributing significantly to algorithmic development in these domains. Analysis of her recent publications reveals a strong trajectory toward fairness and diversity optimization in recommender systems, alongside innovative approaches to graph clustering quality assessment and scalable sentiment analysis. Her research consistently addresses real-world challenges in dynamic data environments, with increasing emphasis on multi-stakeholder optimization and privacy-aware recommendation frameworks. Scientific awards: No specific awards or honors were documented in the provided materials. Dr. Halkidi has participated extensively in National and European-funded research projects, including a prestigious Marie-Curie fellowship at the University of California, Riverside. She serves on program committees for major international conferences in data mining and machine learning, demonstrating active community engagement. While specific graduate students aren't listed in the source materials, her professorial role indicates ongoing mentorship of Master's and Ph.D. candidates. She maintains active research affiliations with the Network oriented systems & services lab and the DataStories research group at the University of Piraeus, where she collaborates on interdisciplinary projects involving big data analytics, social network analysis, and distributed systems.

Alice RiselyView profile

Research Fellow

• Molecular Ecology
• Host-Microbe Interactions
• Environmental Change Impacts
• +6 more

Alice Risely is a Research Fellow at the University of Salford, affiliated with the School of Science, Engineering & Environment and the Environmental Research Centre. Her research focuses on molecular ecology with an emphasis on host-microbe interactions and the impacts of environmental change on microbial communities across diverse wildlife systems. Dr. Risely's primary research interests center on how environmental changes impact microbial ecology and evolution, particularly focusing on antimicrobial resistance (AMR) and pathogen emergence. She uses large gulls in the UK as her main study system, which are highly adapted to urban and agricultural environments, making them ideal models for understanding how land-use changes affect bacterial communities. Her work spans multiple wildlife systems including migratory birds, bats, meerkats, and amphibians, with particular attention to circadian and diurnal rhythms in host-microbe interactions and their physiological consequences. Her publication record reveals a strong interdisciplinary approach combining molecular ecology, conservation biology, and environmental science. Her recent work demonstrates increasing focus on wildlife disease ecology, particularly examining tuberculosis progression in meerkats and viral infections in bats, while also investigating plasmid dynamics in wastewater systems and the role of mobile genetic elements in antimicrobial resistance spread. Her research has important implications for understanding disease emergence, conservation biology, and the ecological consequences of anthropogenic environmental change. Dr. Risely is actively involved in teaching quantitative skills, including ecological statistics and coding in R. She contributes to several academic modules across different levels, from undergraduate Research Skills courses to postgraduate Research Skills and Designs in Conservation Science. Her publication on PhD supervision practices highlights her commitment to effective research training and identifying mismatches in expectations between candidates and supervisors. She leads the citizen science project "Gulls Eating Stuff," which engages the public in scientific research by collecting photos of gulls eating various items to better understand gull diet and ecology. This initiative exemplifies her dedication to participatory science and public engagement with scientific research, contributing to multiple United Nations Sustainable Development Goals related to protecting terrestrial ecosystems and halting biodiversity loss.