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Zichun ZhongView profile

Associate Professor

• Geometric Modeling
• Computer Graphics
• 3D Computer Vision
• +5 more

Dr. Zichun Zhong is an Associate Professor and Graduate Program Director in the Department of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. He earned his Ph.D. from the University of Texas at Dallas and completed postdoctoral training at UT Southwestern Medical Center. His research focuses on geometric modeling, computer graphics, medical image processing, and visualization technologies. Research encompasses: Geometric modeling of surfaces and volumes 3D computer vision and reconstruction Medical image segmentation and visualization Virtual/augmented reality applications GPU-accelerated algorithms Awards and honors include NSF CAREER and CRII awards, Faculty Research Excellence Award, and Excellence in Teaching recognition. He serves as Technical Paper Chair for Shape Modeling International conferences and associate editor for multiple journals. Current doctoral advisees: Shiman Zhou, Hongbo Li, Haikuan Zhu, and Sikai Zhong. Notable alumni include researchers at Samsung NEON, Skoltech, and General Motors.

Fiona B AdamsonView profile

Professor

• International Relations
• Migration Politics
• Conflict and Security Studies
• +3 more

Professor Fiona B. Adamson is a leading academic in International Relations at SOAS University of London, specializing in migration, conflict, and security. She holds the rank of Professor of International Relations and currently serves as Associate Editor of Security Studies and co-president of the American Political Science Association's Migration and Citizenship section. Her academic career includes roles as Head of Department (2010–2013) and Research Director (2018–2021) at SOAS, and prior directorship of UCL's International Public Policy Programme. She is an adjunct faculty member at Chatham House and leads the EU-funded MAGYC project on migration governance. Education: BA (Stanford University), PhD (Columbia University). Research focuses on diaspora geopolitics, forced migration diplomacy, and the interplay between mobility and state-building. Notable projects include a British Academy-funded study on the diplomacy of forced migration and EU-funded research on Kurdish diaspora communities in Europe. Her work has been supported by the Guggenheim Foundation, ESRC, and Leverhulme Trust. Research Interests: Migration governance, conflict dynamics, diaspora mobilization, transnational repression, and decolonizing security studies. Awards/Funding: Guggenheim Fellowship, British Academy grants, ESRC funding. Advisees/Grants: Supervised six PhD theses on topics like diaspora governance, transnational activism, and Middle Eastern conflict dynamics. Holds grants from major institutions including the European Commission's H2020 programme. Co-convenes the London Migration Research Group, fostering interdisciplinary collaboration. Labs/Teams: Leads the MAGYC project team and collaborates with global institutions like Chatham House and the Queen Elizabeth II Academy for Leadership in International Affairs.

Chitra RanganView profile

Professor

• Quantum Control
• Nanoplasmonics
• Light-Matter Interactions
• +3 more

Dr. Chitra Rangan is a Professor in the Department of Physics at the University of Windsor and serves as the Associate Dean of the Faculty of Graduate Studies. She holds cross-appointments in Chemistry and Biochemistry (2008–2011) and has been a Visiting Associate Professor at the University of Michigan (2006–present). Her research focuses on quantum control, nanoplasmonics, and light-matter interactions, with applications in clinical diagnostics and quantum computing. She leads the BiopSys NSERC Strategic Network and contributes to Mathematics of Information Technology and Complex Systems (MITACS) . Education: Ph.D. in Physics, Louisiana State University (2000) M.Sc., Indian Institute of Technology, Madras (1993) B.Sc., University of Madras (1991) Affiliations: Ontario Physics Education Network (PI) NSERC Evaluation Committee (2018) International Day of Light Steering Committee (2018) Her research interests span quantum control theory, nanoplasmonic biosensors, and optimization in medical physics. She has advised over 40 students, many of whom pursue advanced degrees or careers in academia and industry. Notable grants include NSERC, CFI, and Mitacs funding. Publications highlight advancements in quantum state initialization, nanoplasmonic sensor design, and trapped-ion qubit control. Awards include the CAP Medal for Teaching and UWindsor Research Excellence (Emerging Scholars). Dr. Rangan actively promotes science outreach, organizing events like Science Rendezvous Windsor and delivering public lectures on quantum mechanics and medical physics. She has mentored dozens of students through co-op programs and summer projects, emphasizing hands-on learning and interdisciplinary collaboration.

Chong LiuView profile

Assistant Professor

• Machine Learning
• Bayesian Optimization
• Bandit Algorithms
• +3 more

Dr. Chong Liu is an Assistant Professor of Computer Science at the State University of New York at Albany (SUNY Albany) in the College of Nanotechnology, Science, and Engineering. He received his PhD in Computer Science from UC Santa Barbara in 2023 and completed a postdoctoral fellowship at the University of Chicago's Data Science Institute (2023-2024). His research focuses on Machine Learning and AI for Science, particularly Bayesian optimization, bandit algorithms, generative models, and AI applications in drug discovery. He has received the SUNY IITG/OER Impact Grant and serves as Associate Editor for IEEE-TNNLS, Area Chair for ICML/AISTATS, and editorial board reviewer for JMLR. PhD: UC Santa Barbara (2023), advised by Yu-Xiang Wang Postdoc: University of Chicago Data Science Institute (2023) Research Interests : Broad: Machine Learning, Optimization, AI for Science Specific: Bayesian optimization, Bandit algorithms, Active learning, Experimental design, Generative models, AI for drug discovery Applications: Binding affinity prediction, Drug screening, Policy optimization Recent Article Trends : His 2024-2025 publications focus on extending Bayesian optimization theory under practical constraints, quantum-accelerated bandit methods, and multi-objective optimization for drug discovery. Earlier works include private learning frameworks and human-in-the-loop systems. Scientific Awards : 2025: SUNY IITG/OER Impact Grant Professional Activities : Organized NeurIPS workshops on AI for Drug Discovery (2023, 2025), co-organizing INFORMS sessions, and serving on program committees for ICML, NeurIPS, ICLR, and AAAI. He has given invited talks at institutions including University of Chicago, UC Santa Barbara, and Genentech. Teaching : Teaching courses like Numerical Methods (CSI 401) and Machine Learning (CSI 436/536) with syllabi spanning 2024-2025 semesters.

Lianying ZhaoView profile

Associate Professor

• Trusted Computing
• Hardware/Architectural Security
• Systems Security
• +3 more

Lianying Zhao is an Associate Professor in the School of Computer Science at Carleton University and serves as a Director of the Carleton Computer Security Lab (CCSL). His research focuses on low-level platform security, including hardware, firmware, hypervisor, and operating systems, with an emphasis on trusted computing, authentication, privacy preservation, and security metrics. He leads the CCSL research group, collaborating with interdisciplinary teams to address critical security challenges in IoT, cloud systems, and web applications. Education: Not explicitly listed in provided texts. Roles: CCSL Director, Research Supervisor, and Graduate Program Advisor. Dr. Zhao’s work spans hardware security improvements, firmware vulnerability analysis, and user-centric security metrics. Recent research highlights include studies on router configuration habits, tracker detection in web browsers, and CVSS score discrepancies. He has supervised numerous graduate students in cybersecurity domains, contributing to over 30 peer-reviewed publications since 2013. His lab affiliations include CCSL and CISL, where he collaborates on projects such as secure deletion frameworks, TLS validation vulnerabilities, and hybrid decision-making models for cloud security. Current research also explores cross-regional login throttling mechanisms and AI-driven vulnerability detection in embedded systems.

Alexandru G. BardasView profile

Associate Professor

• Cybersecurity
• Systems Security
• Moving Target Defenses
• +9 more

Alexandru G. Bardas is an Associate Professor at the University of Kansas in the Department of Electrical Engineering & Computer Science (EECS) and the Institute for Information Sciences (I2S) . He received his PhD from Kansas State University under advisors Xinming (Simon) Ou and Scott A. DeLoach. His research focuses on cybersecurity from a systems perspective , including moving target defenses, security operations center (SOC) metrics, DevOps security, power grid cybersecurity, and defensive technologies for political activists. He explores UDP-based DDoS detection, DNS traffic analysis, and the intersection of AI with cybersecurity, emphasizing foundational knowledge over tool-specific training. Key research areas: Cybersecurity, Systems Security, Moving Target Defenses, SOC Metrics, DevOps Security Recent publications in ACSAC 2024 , USENIX Security 2024/2023 , and IEEE Security & Privacy 2022 Dr. Bardas has received significant recognition including: NSF CAREER Award (2022) for SOC automation Bellows Scholar (2021) at KU NSA SoS Honorable Mention (2023) He actively advises students across disciplines, with graduates now at Sandia National Laboratories , Blue Cross Blue Shield , and Pacific Northwest National Laboratory . Dr. Bardas participates in NSF grant reviews , serves on program committees for SOUPS and MILCOM , and leads outreach initiatives like the GenCyber Summer Camp .

Suryadipta MajumdarView profile

Associate Professor

• Cloud Computing Security and Privacy
• Internet of Things (IoT) Security and Privacy
• Software-Defined Network (SDN) Security
• +3 more

Suryadipta Majumdar is an Associate Professor at the Concordia Institute for Information Systems Engineering (CIISE), part of Concordia University. His primary research interests focus on Cloud Computing Security and Privacy, Internet of Things (IoT) Security and Privacy, and Software-Defined Network (SDN) Security. He has contributed extensively to proactive security measures in containerized systems and Kubernetes environments, alongside developing tools like ACE-WARP and PerfSPEC to address real-time threats. In terms of education, he holds a PhD in a relevant field, though specific details about his academic background (e.g., institutions, thesis topics) are not explicitly mentioned in the provided text. His work bridges theoretical cybersecurity frameworks with practical implementations, emphasizing automated translation, differential privacy, and compliance auditing across cloud and IoT ecosystems. Majumdar’s research trends highlight a focus on layered security analysis, anomaly detection in IoT networks, and mitigating vulnerabilities in network functions virtualization (NFV). He has explored topics such as resilient in-band OpenFlow networks, runtime security policy enforcement in OpenStack, and privacy-preserving network data anonymization via tools like SegGuard. His recent publications reflect collaboration with international conferences and workshops, including contributions to Digital Forensics and Applied Cryptography. No scientific awards are explicitly mentioned in the text. His advising activities and grant history remain unlisted, though he has developed notable security frameworks and tools. He is affiliated with CIISE and likely contributes to its research initiatives in emerging technologies like 5G and edge-core environments.

• Hardware Security
• Machine Learning
• 3D IC Design
• +4 more

Wafi Danesh is an Assistant Professor in the Department of Engineering Programs at SUNY New Paltz, part of the School of Science & Engineering. He holds a PhD in Electrical and Computer Engineering from the University of Missouri Kansas City (2022). Prior to academia, he served as a Senior Engineer I - Design at Microchip Technology Inc. (2022-2023). His research focuses on hardware security, leveraging machine learning for FPGA Trojan detection and secure 3D IC design. Teaching interests include System-on-Chip Design, Digital Logic Fundamentals, and Computer Architecture. Education: PhD in Electrical and Computer Engineering, University of Missouri Kansas City, 2022 Research Interests: Dr. Danesh explores cutting-edge methods to enhance hardware security, including AI-driven approaches for IoT device protection and thermal management in 3D integrated circuits. His work bridges machine learning and physical hardware vulnerabilities, emphasizing FPGA security and PUF-based solutions for wireless systems. Publications Trends: His articles span FPGA Trojan detection via NLP and unsupervised learning, thermal challenges in 3D ICs, and neuromorphic computing innovations. Recent work highlights automated security tools and multi-valued computing for energy efficiency. Awards: None explicitly listed in the provided materials. Advising & Grants: No formal advisees or grants are mentioned. His professional activities center on research and teaching.

Nikolaos NikiforakisView profile

Professor

• High Performance Computing
• Numerical Algorithms
• Computational Fluid Dynamics
• +4 more

Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.

Jonathan RoddenView profile

Professor

• Comparative Politics
• Political Economy
• Federalism
• +6 more

Jonathan Rodden is a Professor of Political Science at Stanford University and a Senior Fellow at the Hoover Institution and Stanford Institute for Economic Policy Research. His research focuses on the comparative political economy of institutions, particularly federalism and fiscal decentralization, with significant contributions to understanding the urban-rural political divide and its implications for representation and policy. PhD from Yale University BA from the University of Michigan Fulbright student at University of Leipzig His research spans several domains: Comparative Federalism: Analyzed fiscal decentralization mechanisms, budgetary transfers, and institutional design in federations globally. Political Geography: Developed computational methods for redistricting analysis and demonstrated how geographic voter distribution creates inherent electoral biases. Policy Uncertainty: Co-authored foundational work linking economic uncertainty to political polarization and fiscal cycles. Public Health: Conducted epidemiological studies on firearm-related mortality and suicide patterns in California. Scientific awards include: Gregory Luebbert Prize for best book in comparative politics (2007) Michael Wallerstein Award for best paper in political economy (2015) He has advised PhD students like Jowei Chen and directed policy projects with international institutions including the World Bank, IMF, and OECD. His work on redistricting simulations has been cited in U.S. Supreme Court amicus briefs and congressional testimony.

Matthew R. RyanView profile

Associate Professor

• Sustainable cropping systems
• Agroecology
• Cover crops and ecological weed management
• +3 more

Matthew R. Ryan is an Associate Professor in the School of Integrative Plant Science (Soil and Crop Sciences Section) at Cornell University. His research focuses on sustainable cropping systems, agroecology, and cover crop management with an emphasis on ecological weed suppression and organic production. Ryan leads the Sustainable Cropping Systems Lab and co-directs the Organic @ Cornell initiative. Education: PhD in Agronomy (2010), MS in Agronomy (2007) from The Pennsylvania State University; BS in Biology (2001) from Kutztown University. Research Interests: Development of diversified cropping systems that integrate perennial grains like Kernza Evaluation of cover crop genetics and management strategies Optimization of no-till systems for organic crop production Assessment of agronomic practices' environmental impact Recent Work Trends: Over 15 publications (2023–2025) emphasize cover crop genetics, no-till weed management, and perennial grain development. Collaborative projects across 16 U.S. states highlight regional adaptation strategies. Awards: No formal awards listed, though his work has been featured in news articles about cover crop adoption and perennial grain development. Teaching & Mentorship: Teaches PLSCI 1900 and 3800 courses. Advises graduate students in Soil and Crop Sciences. Coordinates multi-university courses like the Cover Crop Challenge. Labs/Teams: Leads Sustainable Cropping Systems Lab and collaborates with Cornell's Agricultural Experiment Station. Active in regional farmer-extension partnerships.

• Ports and Maritime Logistics
• Transport Network Modelling
• Intelligent Transport Systems
• +6 more

Professor Michael Bell is the Foundation Professor of Ports and Maritime Logistics at the University of Sydney Business School's Institute of Transport and Logistics Studies. He holds a BA from Cambridge University, MSc and PhD from Leeds University, and has held roles including Director of Imperial College London's PORTeC and academic positions at Newcastle University and Karlsruhe Technical University. His research focuses on ports, transport networks, sustainability, and intelligent transport systems. He has authored over 150 publications, including seminal works like Transportation Network Analysis . Current projects include circular economy diversification for ports and autonomous delivery systems. Awards include fellowship in multiple transport societies. Education: BA (Economics) Cambridge (1975), MSc (Transportation) Leeds (1976), PhD (Freight Distribution) Leeds (1981). Postdoctoral research at Karlsruhe Technical University (1982–1984). Research Interests: Ports logistics, transport network resilience, urban logistics, cybersecurity in supply chains, and sustainable transport policy. Publications span 40+ years, emphasizing empirical and theoretical advancements in maritime systems, network modelling, and policy analysis. Recent work explores autonomous systems integration and port diversification strategies. Grants include a 2023 iMOVE CRC project on land use trip surveys and a 2022 ARC Discovery Project on automated transport decisions. Media appearances address global trade disruptions (e.g., Suez Canal blockage), autonomous vehicles, and port sustainability. Led PORTeC (Imperial College) and co-founded the Institute of Transport and Logistics Studies at Sydney. Active in policy advisory roles for government agencies and industry bodies.

Elliot HuiView profile

Associate Professor

• Biomedical Engineering
• Microfluidics
• Spatial Cell Biology
• +3 more

Elliot Hui, Ph.D., is an Associate Professor in the Department of Biomedical Engineering at the University of California, Irvine (UCI), within the Samueli School of Engineering. His research focuses on biological microtechnology, including spatial cell biology, microscale tissue engineering, global health diagnostics, and microfluidic computing. He leads the Hui Lab, which develops tools for automating biochemical reactions, controlling cellular organization, and understanding tissue development dynamics. Key achievements include pioneering microfluidic logic systems for autonomous laboratory automation and creating novel cell culture platforms to study intercellular communication in tissues. His work bridges engineering and biology, addressing challenges in diagnostics and regenerative medicine. Notable contributions include the development of a programmable finite state machine for microfluidic control and a SLAS Fellowship awarded to his student Erik. Research Interests: Microfluidic devices, cell-cell interaction modeling, tissue engineering, and lab-on-a-chip systems. Labs/Teams: Hui Lab at UCI, specializing in microscale biological systems and automation. Publications span topics such as microfluidic computing architectures, tissue dissociation devices, and Bayesian experimental design. His work emphasizes applications in global health diagnostics and mechanistic studies of cellular processes.

Phil BerkeView profile

Research Professor

• Land Use Planning
• Environmental Planning
• Community Resilience
• +4 more

Phil Berke is a Research Professor at the University of North Carolina Chapel Hill's Department of City and Regional Planning, specializing in community resilience and urban planning. He leads the Center for Resilient Communities and Environment , focusing on interdisciplinary research to enhance urban resilience through policy integration and stakeholder collaboration. His work emphasizes mitigating climate change impacts, particularly via the Plan Integration for Resilience Scorecard™ , funded by the NSF and Department of Homeland Security. Education: B.A. in Economics/Environmental Science (Empire State College), M.S. (University of Vermont), Ph.D. (Texas A&M) Key Affiliations: Coastal Resilience Center, Planet Texas 2050 Technical Advisory Board Research interests include land use planning, environmental hazards, and social equity in disaster resilience. His 2015 article on community resilience earned the APA's Best Article Award. Current projects involve evaluating flood resilience in cities like Houston and Rotterdam, and advancing equity in hazard mitigation plans. Berke advises on global resilience initiatives, including the Rockefeller Foundation's 100 Resilient Cities program. He prioritizes training students through capstone courses and fieldwork to address real-world challenges like coastal development risks and climate adaptation strategies.

Anastasia IvanovaView profile

Professor

• Adaptive Designs
• Dose-finding Methods
• Enrichment Designs
• +3 more

Anastasia Ivanova, PhD, is a Professor in the Department of Biostatistics at the University of North Carolina's Gillings School of Global Public Health. She specializes in clinical trial design, with over 20 years of experience in adaptive designs, dose-finding methods, and enrichment strategies. Her leadership roles include Principal Investigator of the NHLBI-funded PrecISE Network Data Center and co-PI of the BACPAC DAC. She holds a PhD in Statistics from the University of Maryland (1998) and a PhD in Mathematics from St. Petersburg State University (1998). Research focuses on innovative trial methodologies including adaptive trials for severe asthma, back pain consortia, and CAR-T cell therapies. Key publications span statistical methods in Biometrics , Statistics in Medicine , and Statistical Methods in Medical Research . Awards include the American Statistical Association Fellowship (2020) and the Stanley S. Schor Scholarship (2006-2007). Education: PhDs in Statistics (UNC, 1998) and Mathematics (St. Petersburg, 1992); MS in Mathematics (1988) Service: Associate Editor for Statistics in Medicine since 2006; North Carolina ASA leadership roles Key Projects: PrecISE Network (adaptive asthma trials), BACPAC (back pain research), CAR-T cell clinical trials Her work integrates statistical rigor with translational medicine, advancing precision interventions through multi-stage and biomarker-stratified designs.