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Megumi Ando serves as the Minnie McNeal Kenny Assistant Professor in the Department of Computer Science within Tufts University's School of Engineering. She joined Tufts in August 2023 as a full-time Assistant Professor after serving as a Visiting Assistant Professor from May to July 2023, with her named professorship awarded in February 2024. Previously, she was Lead Cybersecurity Research Scientist at MITRE Corporation where she consulted for federal agencies including the Department of Commerce. Her educational background includes: Ph.D. in Computer Science, Brown University (2020) M.Eng. in Electrical Engineering & Computer Science, MIT (2010) B.S. in Electrical Engineering & Computer Science, MIT (2010) B.S. in Mathematics, MIT (2007) Dr. Ando's research centers on the theoretical foundations of anonymous communication systems. Her work develops cryptographic protocols for onion routing with emphasis on resilience against network churn, asynchronous operations, and quantum threats. She investigates formal models for information leakage and composable security, aiming to build practical systems with provable privacy guarantees. Her research bridges theoretical computer science with real-world security applications. Analysis of her publication record reveals a cohesive trajectory from foundational cryptographic theory (2016) toward increasingly complex anonymity challenges. Early work established provable security for onion routing, evolving to address network churn (2022) and asynchronous models (2025). Her research consistently integrates quantum-resistance considerations and formal verification methods, demonstrating progression from theoretical constructs to practical implementations while maintaining cryptographic rigor. Her recognition includes: Four MITRE Innovation Program Awards (2013-2014, 2021-2022) ICALP Student Travel Award (2018) Brown University Graduate Fellowship (2016-2020) MITRE Accelerated Graduate Degree Fellowship (2014-2016) Dr. Ando has secured significant research funding including MITRE Innovation Program Awards and collaborative NSF grants for foundational anonymous communication research. She previously advised graduate students at Brown University and currently mentors students through her lab at Tufts. Her teaching portfolio includes Computation Theory, Cryptography, and specialized Data Infrastructure courses across multiple semesters. The Ando Lab at Tufts focuses on advancing theoretical frameworks for anonymous communication, with active projects in asynchronous anonymity protocols, churn-resistant network designs, and quantum-safe cryptographic systems. The lab maintains collaborations with federal security agencies and academic research groups specializing in network security and formal verification.

• Cryptography
• Anonymous Communications
• Theoretical Computer Science
• +5 more

Johes Bater is an Assistant Professor of Computer Science at Tufts University's School of Engineering. He joined Tufts in 2022 after postdoctoral research at Duke University's Database Group and a Ph.D. in Computer Science at Northwestern University. Education B.Sc. in Electrical Engineering (2011) from Stanford University M.Sc. in Electrical Engineering; Computer Systems (2013) from Stanford University Ph.D. in Computer Science (2020) from Northwestern University Research Focus Bater's research focuses on privacy-preserving analytics , balancing security , privacy , and utility in trustworthy database systems . His work spans differential privacy , secure computation , and data federation to enable robust distributed analytics with provable guarantees. Publications & Trends His publications since 2016 emphasize secure multi-party computation (SMCQL, 2016), differentially private indexing (Longshot, 2023), and privacy-utility trade-offs in federated databases. Key subfields include private data sharing , access pattern security , and incremental computation for outsourced systems. Awards & Grants 2022: Cisco Systems grant for "A Usable and Shareable Tool for Software Threat Modeling" Teaching & Service Bater teaches courses like Database Systems , Dissertation Research , and Special Topics in Data Infrastructure . He served on Tufts' CS PhD Admissions Committee (2022) and as a reviewer for the ACM Conference on Computer and Communications Security (2022).

• privacy-preserving analytics
• federated databases
• differential privacy
• +6 more

Dr. Jason Jue is Professor of Computer Science at UT Dallas' Erik Jonsson School of Engineering and Computer Science. He chairs the IEEE Communications Society Technical Committee on Optical Networking and leads research in optical networking, 5G systems, and network virtualization. His substantial publication record (2022-2025) demonstrates evolving focus on network slicing for 5G, reinforcement learning applications in network management, and quantum-secured optical networks. Recent articles increasingly integrate machine learning with networking challenges, particularly for resource allocation and slice provisioning in multi-domain environments. Significant awards include: NSF CAREER Award (2002) Best Paper Award, Optical Network Design and Modeling (2010) Best Paper Award, IEEE Globecom (2005) Research funding highlights: NSF: $449,651 for resilient network slicing (2021) Multiple NSF grants exceeding $800,000 total Industry funding from Fujitsu

• Optical Networking
• Network Survivability
• Elastic Network Slicing
• +3 more

Kostas Magoutis is Professor and Chair of the Computer Science Department at the University of Crete and collaborating researcher with FORTH-ICS. His research focuses on distributed systems, scalable data processing, IoT, and cloud computing, with projects including GreenInCities for urban regeneration and STREAMSTORE for stateful stream processing systems. Research interests include: Distributed computer systems architecture Elastic stream processing platforms Quantum-enhanced computing applications Multi-cloud application lifecycle management Recent publications demonstrate strong focus on federated data systems, quantum computing applications, and IoT-enhanced infrastructure, with consistent output in high-impact conferences and journals. Awards and distinctions: Multiple best paper awards from USENIX conferences Grand Challenge Audience Award at DEBS 2022 Marie Curie Fellowship and IBM Research awards Advises over 20 PhD and MSc students in distributed systems research. Leads multiple EU-funded projects and serves on program committees for top conferences including SOSP, EuroSys, and IEEE BigData. Directs research groups in distributed systems and cloud computing at FORTH-ICS.

• Distributed computer systems
• Scalable data stream processing
• Internet of Things
• +3 more

Robyn Lewis Brown is Professor of Sociology at the University of Kentucky, holding a Ph.D. from Florida State University (2010). Her research examines social stress, disability, and mental health across the life course, emphasizing stigma, discrimination, and systemic stressors. She has secured significant funding, including a Switzer Fellowship from NIDILRR/HHS. Research interests focus on: Gender disparities in stress/health Collective trauma (Great Recession, 9/11, COVID-19) Disability-related discrimination Opioid use stigma Economic impacts on disability employment Her 75+ publications show consistent themes: Recent work analyzes pandemic-related stressors amplifying psychological distress and discrimination. Articles frequently explore intersections of disability, labor markets, and healthcare access using mixed methodologies. Awards include the Switzer Fellowship for disability research excellence. Teaching spans statistics, data analytics, research methods, and disability studies across multiple colleges. She co-founded UK's Disability Employee Affinity Group and chairs programs promoting accessibility. Editorial roles include co-editing the Oxford Handbook on the Sociology of Disability and deputy editorship for Society and Mental Health and Sociological Perspectives .

• Stigma and discrimination
• Gender
• Mental health
• +2 more

Dr. Tony White is an Adjunct Professor in the School of Computer Science at Carleton University. He holds a Ph.D. from Carleton (2000), an M.A. from Cambridge, and a B.A. in Theoretical Physics. His research focuses on complex adaptive systems, including influence measurement in social networks and swarm intelligence applications. He leads the Complex Adaptive Systems Group and has extensive industry experience, previously working at Nortel. Education: Bachelor of Theoretical Physics, Cambridge University (1981) Master of Physics, Cambridge University (1981) Master of Computer Science, Carleton University (1993) Ph.D. in Electrical Engineering, Carleton University (2000) Research Interests: Artificial Intelligence Swarm Intelligence Genetic Algorithms Neural Networks Recommender Systems Search Engines His work explores influence dynamics in social networks, adaptive information systems, and evolutionary computation. Recent publications address neural network topologies, distributed control strategies, and embedded systems administration. He has also contributed to trust models, referral networks, and traffic signal optimization. Dr. White’s research bridges theoretical computer science and practical applications in robotics, network management, and autonomous systems. Labs/Teams: Leads the Complex Adaptive Systems Group, focusing on interdisciplinary approaches to complex systems and swarm intelligence.

• Artificial Intelligence
• Swarm Intelligence
• Genetic Algorithms
• +4 more

Omar Haider Chowdhury is a SUNY Empire Innovation Scholar and Associate Professor in the Department of Computer Science at Stony Brook University. Previously, he was an Assistant Professor at the University of Iowa where he received the Dean's Scholar Award. He completed his postdoctoral research at Cylab, Carnegie Mellon University and Purdue University. His educational background includes a Ph.D. in Computer Science from the University of Texas at San Antonio under the supervision of Prof. Jianwei Niu and Prof. William H. Winsborough (deceased), and undergraduate education in Computer Science and Engineering at the Bangladesh University of Engineering and Technology (BUET). Chowdhury's research focuses on Computer Security and Privacy, with particular emphasis on applying formal verification, automated reasoning, runtime verification, programming languages, software engineering, and human-computer interaction techniques to solve practical security problems. His work addresses security challenges in SSL/TLS, X.509 PKI, Cellular Networks, Wi-Fi, Internet-of-Things (IoT), and Regulatory Compliance. He is also interested in fundamental problems in automated reasoning and formal verification. His recent publications demonstrate a strong focus on applying formal methods to practical security problems, with particular emphasis on cellular networks (4G/5G), IoT systems, and cryptographic protocols. His research shows a consistent pattern of bridging theoretical verification techniques with real-world security implementations, resulting in enhancements to widely used protocols like 4G LTE, 5G, and WPA2 enterprise. His scientific contributions have been recognized with numerous awards including: 2023 Test of Time Award, ACM SACMAT 2022 Dean's Scholar Award, University of Iowa 2021 Best Paper Award (Runner Up), ACM CCS 2020 Best Paper Award, ACNS 2019 DARPA Young Faculty Award Multiple Best Paper Awards at IEEE DASC, ACSAC, and NDSS Chowdhury has successfully mentored several PhD students including Dr. Moosa Yahyazadeh (now at Apple Inc.), and currently advises students including Joyanta Debnath, Muhammad Daniyal Pirwani, and Aliakbar Sadeghi. His research has been funded by both National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA), including a prestigious DARPA Young Faculty Award. His group's findings have directly influenced improvements in widely used security protocols and cryptographic libraries. He leads a research group focused on high-assurance software design and implementation, recently teaching courses on these topics at Stony Brook University. His research group combines expertise in formal methods, security analysis, and practical implementation to tackle emerging security challenges in modern computing systems.

• Computer Security
• Network Security
• Software Security
• +13 more

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +11 more

W. Michael Petullo is an Assistant Professor in the Department of Comp Sci & Comp Engineering at the University of Wisconsin-La Crosse. He holds a Ph.D. in Computer Science from the University of Illinois at Chicago, and prior academic degrees from DePaul University and Drake University. Before academia, he served a 20-year career in the Army, including roles teaching in the Department of Electrical Engineering and Computer Science and leading cyber operations software development. His research focuses on software and network security, operating systems, and open-source software development. Education: Ph.D. in Computer Science, University of Illinois at Chicago M.S. in Computer Science, DePaul University B.S. in Computer Science, Drake University Research Interests: His work emphasizes secure operating system design, network security protocols, and open-source tool development. Recent efforts include the Aquinas Learning System for courseware automation and PivotWall for SDN-based information flow control. He also explores user behavior in cybersecurity contexts and educational applications of cyber defense exercises. Teaching: Currently instructs CS120 (Software Design I), CS410/510 (Open Source Development), and CS455/555 (Fundamentals of Information Security). Past courses include operating systems concepts and secure software development. Labs & Projects: Maintains the Aquinas Learning System project and contributes to Ethos operating system research. Active in developing minimal-latency networking solutions and secure kernel interfaces.

• Software and network security
• Operating system design and implementation
• Open-source software development

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

• Cyber Security
• Simulation
• Digital Forensics
• +6 more

Professor Dominic O'Brien is a Professor of Engineering Science at the University of Oxford and Senior Research Fellow at Balliol College. He serves as Director of the UK National Hub in Quantum Computing and Simulation. His research focuses on optoelectronics, optical wireless communications, and quantum key distribution. He leads the optical communications group and has authored over 200 publications in these areas. His work emphasizes high-speed free-space optical systems, UV-based secure communication, and beam-steering technologies. Education: MA and PhD from the University of Cambridge, followed by a DPhil from the University of Oxford. His research interests include quantum networks, photonics, and energy-efficient optical systems. Notable projects include handheld low-cost quantum key distribution systems and terabit-per-second fiber-wireless links. He collaborates on initiatives like the WORTECS project for virtual reality applications using optical wireless. Publications span topics from UV solar-blind OWC to liquid crystal beam steering. His work bridges academic and industrial applications, addressing challenges in both classical and quantum communication systems. He contributes to standards for visible light communications and next-generation wireless infrastructure.

• Optical Communications
• Quantum Computing
• Quantum Key Distribution
• +3 more

Professor Xin Li is the Chair of Mathematical Analysis at the School of Mathematics & Statistics, University of Glasgow. His research focuses on interdisciplinary areas at the intersection of mathematical analysis, wireless communication systems, and blockchain technology. He holds a faculty position with expertise in reconfigurable intelligent surfaces (RIS), signal processing, and network optimization. Recent publications highlight his work on RIS-aided information-sensing integrated systems (ISAC), blockchain-based consensus networks in cellular environments, and adaptive beamforming techniques for multipath communication. His research emphasizes practical applications of theoretical mathematical models in telecommunications and distributed systems. Prof. Li's work demonstrates trends in integrating mathematical analysis with emerging technologies like millimeter-wave systems and Byzantine fault tolerance mechanisms. His contributions bridge pure mathematical rigor with real-world communication challenges, addressing both theoretical and applied aspects of modern wireless networks. He currently oversees academic activities within the School of Mathematics & Statistics and maintains an active research program supported by interdisciplinary collaborations. His contact information includes Xin.Li@glasgow.ac.uk and ORCID 0000-0002-2243-3742.

• Mathematical Analysis
• Wireless Communication Systems
• Blockchain Technology
• +3 more

Dr. Ahmed M. A. Sayed is a Senior Lecturer (equivalent to Associate Professor) and Director of the MSc Big Data Science Programme at Queen Mary University of London's School of Electronic Engineering and Computer Science. He leads the SAYED Systems Group and focuses on distributed systems, federated learning, edge computing, and network optimization. His research bridges system design and machine learning, emphasizing scalability and efficiency. Education: PhD in Computer Science (HKUST, 2017), M.Sc. and B.Sc. (Assiut University, 2012 and 2007). Prior roles include Research Scientist at KAUST and Senior Researcher at Huawei's Future Network Lab. Research Interests: Systems for ML, federated learning, edge/Cloud computing, network congestion control, and IoT. He has secured £730K+ in grants, including a UKRI-EPSRC grant for the KUber project (2024–2027). Awards: 2024 Best Student Paper (IJCAI FL Workshop), Hong Kong PhD Fellowship (2013–2017), and numerous travel grants. Actively supervises PhD/MSc students and postdocs. Grants & Leadership: PI of UKRI-EPSRC KUber project, Co-I in HKRGC and KAUST grants. Organizes workshops at venues like MobiSys and serves on TPC for ICML, EuroSys, and NeurIPS. Labs: Leads SAYED Systems Group, affiliated with Networks Group and DT4SGD Lab at Queen Mary.

• Distributed Systems
• Machine Learning Systems
• Federated Learning
• +7 more

Dr Lucy Bearman-Brown is a Senior Lecturer in Zoology and Programme Manager for the BSc Zoology degree at Hartpury University, within the Department of Animal and Agriculture. She holds a PhD in Mammal Ecology from the University of Reading (awarded 2020), an MRes in Biodiversity and Conservation from the University of Leeds (2008), and a BSc in Animal Sciences from Nottingham Trent University (2003). She has been teaching at Hartpury since 2010 and is a PGCHE-qualified educator. BSc Animal Sciences – Nottingham Trent University (2003) MRes Biodiversity and Conservation – University of Leeds (2008) PhD Mammal Ecology – University of Reading (2020) PGCHE – University of the West of England (2012) Her research centers on mammal conservation, particularly human-wildlife interactions and the survival of European hedgehogs in anthropogenic environments. She investigates hedgehog rehabilitation, survey methodologies (including camera traps and detection dogs), and the ethical implications of wildlife monitoring. She also explores the mental health of wildlife rehabilitators and the role of nature in children's education. Her recent publications and projects show a strong focus on hedgehog conservation, including national strategy development, rehabilitation data analysis, and innovative detection techniques. She leads the 'Hedgehog Friendly Campus' initiative and has secured funding from the British Hedgehog Preservation Society and the People's Trust for Endangered Species. Most Supportive Tutor Award (2020) She supervises undergraduate and postgraduate research and collaborates with organizations such as Bristol Zoo Project, Field Studies Council, and South African wildlife reserves. She is an active member of the British Wildlife Rehabilitation Council and previously served as External Examiner at the University of Brighton. Her public engagement includes appearances on BBC Countryfile, The One Show, and contributions to BBC Wildlife magazine.

• Mammal Conservation
• Human-Wildlife Interaction
• Wildlife Rehabilitation
• +7 more

Michael Donald Bailey is a Professor and former Chair of the School of Cybersecurity and Privacy (SCP) at Georgia Institute of Technology, part of the College of Computing. Previously, he served as a Professor at the University of Illinois at Urbana-Champaign (UIUC) and as a Research Associate Professor at the University of Michigan. His research focuses on the security, performance, and availability of distributed systems, with over 90 scholarly publications. He has led initiatives to expand cybersecurity education, including new undergraduate threads and professional master’s programs at Georgia Tech. Bailey’s industry experience includes roles at Arbor Networks, where he managed teams protecting internet traffic from DDoS attacks, and three startups. He is a Senior Member of IEEE and ACM. Roles: Professor, Chair (until 2025), Researcher Affiliations: Georgia Tech (SCP, College of Computing), UIUC (Security and Privacy Research Group) His research interests span network security, distributed systems, and privacy engineering. Notable contributions include work on TLS certificate management, IoT security, and phishing defense mechanisms. Bailey advises students at both UIUC and Michigan, fostering next-generation cybersecurity experts.

• Computer Security
• Network Security
• Distributed Systems
• +3 more