Find Academic Supervisors

Kimberly Ann PriestView profile

Assistant Professor

• gender-based trauma
• ecopoetics
• ecofeminism
• +12 more

Kimberly Ann Priest is an assistant professor in the Department of Writing, Rhetoric, and Cultures at Michigan State University. A neurodivergent writer and 2024 Backwaters Prize winner, her work interrogates gendered violence, ecological systems, and spiritual narratives through poetry and creative nonfiction. Her educational journey includes: Bachelor of Arts in English Language & Literature from Regent University Master of Arts in English Language & Literature from Central Michigan University Master of Fine Arts in Poetry/Nonfiction from New England College (completed mid-life while raising children) Priest's research centers on gender-based trauma, ecopoetics, and disability studies, exploring how personal histories of religious abuse and displacement intersect with environmental justice. Her scholarship integrates therapeutic writing practices with feminist and ecofeminist frameworks, drawing from her upbringing along Lake Superior and Scottish immigrant heritage. Her publications consistently examine rewilding, endangered species, and narrative healing, blending poetic innovation with critical analysis of trauma recovery. Works like "Wolves in Shells" and "tether & lung" demonstrate her signature fusion of personal and planetary ecologies. Major recognitions include: 2024 Backwaters Prize in Poetry American Best Book Awards finalist (2021) 2019 Heartland Poetry Prize Brooklyn Girls Books prize Residencies at Monson Arts, SAFTA, Owsley Fork, and Proximity Writer's House As an educator, she mentors young writers through The Telling Room in Portland, Maine, while her editorial work with Nimrod International Journal spans six years. Her fellowships directly support community-focused creative research on survivorship and nature-based healing.

Roy KeseyView profile

Visiting Assistant Professor

• Creative Writing
• Fiction
• Short Story
• +2 more

Roy Kesey, Washington College alumnus (Class of 1991) and associate director of the Rose O'Neill Literary House, serves as a visiting assistant professor of English and creative writing. His acclaimed career as an author and translator earned him the 2025 Mary McCarthy Prize in Short Fiction for LORE, positioning him among nationally recognized working writers at the institution. Kesey's creative scholarship focuses on contemporary fiction, short narrative forms, and Spanish-to-English literary translation. His work consistently explores psychological dimensions of human isolation, the fragility of memory, and transformative power of language—evident in pandemic-era narratives examining how societal collapse intensifies existential solitude while revealing pathways to connection. His publications demonstrate interdisciplinary reach across creative and critical domains, with LORE (2027) representing the culmination of themes developed through prior novels, novellas, and translated works. These projects intersect literary tradition with urgent contemporary concerns, particularly the Eastern Shore's cultural landscape. Major recognitions include: 2025 Mary McCarthy Prize in Short Fiction National Endowment for the Arts grant for fiction PEN/Heim grant for translation As Literary House associate director, Kesey mentors emerging writers through curated author events and institutional programming. His NEA and PEN/Heim grants directly fund creative development and cross-cultural translation projects, with works featured in Best American Short Stories and Norton anthologies. These initiatives amplify Washington College's literary ecosystem while advancing his research into micro-narrative forms. The Rose O'Neill Literary House functions as Kesey's primary creative laboratory, hosting visiting authors and student workshops that operationalize his research on community-based literary practice. This space embodies his commitment to sustaining regional storytelling traditions amid technological and social disruption.

Rosanna Catherine HennessyView profile

Researcher

• Microbial Ecology
• Biotechnology
• Soil Microbiology
• +5 more

Rosanna Catherine Hennessy is a Guest Researcher in the Microbial Ecology and Biotechnology section of the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science. Her research bridges fundamental microbial science with practical biotechnological applications focused on sustainable agriculture. Her educational background includes a PhD in Cell and Molecular Biology from University College Dublin (2008-2012), a BSc in Biological Sciences (Honours Biotechnology) from the University of Edinburgh (2004-2008), and a Teaching and Learning Higher Education Program from the University of Copenhagen (2018-2019). Dr. Hennessy's research centers on understanding how soil bacteria synthesize secondary metabolites and enzymes, particularly focusing on bacterial lipopeptides from Pseudomonas species. Her work employs interdisciplinary approaches combining omics technologies, bacterial genetics, biochemistry, and metabolomics to characterize microbial interactions. She investigates how beneficial bacteria interact with plants and other microbes to promote soil health and crop resilience, with particular interest in molecular mechanisms of bacterial signaling and metabolite production. Her scientific contributions have been recognized with several awards including the NovoNordisk Fonden Emerging Investigator Grant (2022), Copenhagen Microbiology Center Symposium Presentation Award (2015), and the University College Dublin Carmel Humphries Memorial Medal (2011). She has also received competitive fellowships including the Teagasc Walsh Fellowship and SGM Scholarship. Dr. Hennessy has co-supervised 9 BSc and 5 Master's students (2014-2018) and currently teaches multiple courses including Advanced Microbial Biotechnology, Applied Microbiology, and Molecular Genetics. She leads the Novo Nordisk Foundation Project INTERACT (2023-2027) focused on decoding the rhizobiota interactome for improved crop resilience, along with the Emerging Investigator Grant 'BoostR' for engineering small molecule regulation in bacteria. Her research group employs molecular tools for studying microbial interactions, including gene editing techniques, reporter gene technology, and microplate-based imaging, complemented by chemical analysis to study metabolic profiles. The team collaborates extensively across Denmark and internationally on projects related to microbial communication, sustainable agriculture, and biotechnological applications of microbial enzymes.

Fernando FernandezView profile

Researcher

• Cortical Cell Electrophysiology
• Single Cell Modeling
• Non-Linear Dynamics
• +3 more

Fernando Fernandez is a Research Assistant Professor in the Department of Biomedical Engineering at Boston University, with a PhD in Neuroscience from the University of Calgary. His work focuses on cortical cell electrophysiology, single-cell modeling, and network oscillations to understand neuronal electrical activity. Education: B.Sc. & PhD in Neuroscience, University of Calgary. Research Interests: Fernandez investigates how biophysical properties of neurons influence synaptic integration and spike output in cortical circuits. His methods include intracellular recordings, two-photon imaging, and computational modeling to study voltage dynamics and oscillatory patterns in awake animals and isolated brain tissue. Publication Trends: His recent work spans hippocampal memory circuits, cortical inhibition mechanisms, and temperature-dependent ion channel dynamics. Earlier studies emphasize synaptic noise effects on neuronal state transitions, dendritic spike interactions, and voltage fluctuation impacts on firing stability.

Engin KirdaView profile

Professor

• Malware Analysis
• Web Security
• Social Network Security
• +4 more

Engin Kirda is a Professor at Northeastern University, holding appointments in both the Khoury College of Computer Sciences and the Department of Electrical and Computer Engineering within the College of Engineering. He directs the Information Assurance Program and was awarded the inaugural Sy and Laurie Sternberg Interdisciplinary Chaired Professorship. His research focuses on malware analysis, web security, reverse engineering, and intrusion detection, with notable contributions to tools like Anubis, FIRE, and Pixy. Education: PhD in Computer Science from the Technical University of Vienna (2002). Prior to Northeastern, he held positions at Eurecom and the Technical University of Vienna. Research Interests: Malware Analysis & Detection Web Application Security Embedded Systems Security Privacy-Preserving Technologies Automated Vulnerability Discovery (e.g., fuzzing, differential testing) Recent Work Trends: Recent articles (2023–2025) emphasize web application firewall bypasses, embedded system hardening, and privacy-enhancing technologies. Collaborative projects like FLANKER (NSF-funded) address lateral movement detection in enterprise networks. Awards: Consistently ranked in Stanford's Top 2% Cited Scientists since 2021, reflecting impactful contributions to cybersecurity research. Grants & Labs: Principal Investigator on NSF/DARPA grants totaling $2.5M+, including projects on firmware analysis (FIRMALICE), Android marketplace security (DARKDROID), and graph-based lateral movement detection. Leads the International Secure Systems Lab (ISS Lab).

Tom Van CutsemView profile

Associate Professor

• Distributed Systems
• Software Security
• Blockchain
• +5 more

Tom Van Cutsem is an Associate Professor of computer science at KU Leuven in Belgium, where he is affiliated with the Distributed and Secure Software (DistriNet) research group within the Faculty of Engineering Science and Department of Computer Science. He also maintains an affiliation with Nokia Bell Labs, where he previously served as a Research Department Head with research interests in decentralized systems, IoT, stream processing and machine learning for software engineering. His academic career includes a previous position as Assistant Professor at Vrije Universiteit Brussel from 2010 to 2014. Dr. Van Cutsem holds a PhD in Computer Science from Vrije Universiteit Brussel. His educational background has provided the foundation for his expertise in distributed systems, programming languages, and software security. His primary research interests span Distributed Systems , Software Security , Blockchain , and Programming Language Design . With the DistriNet research group, he pursues work on decentralized systems, IoT, stream processing, and machine learning for software engineering. His research focuses on making distributed systems more secure, reliable, and accessible, with particular attention to blockchain technology and Web3 infrastructure. He is a founding member of IFIP WG 2.16 on Programming Language Design. His recent publications demonstrate a strong focus on blockchain security and infrastructure, with numerous papers on Web3, smart contracts, and decentralized systems from 2023-2025. His work addresses critical challenges in blockchain validation, smart contract security, and Web3 infrastructure, reflecting his commitment to making decentralized systems more secure and accessible to low-resource participants. Several of his current projects focus on secure middleware for smart contracts and scalable infrastructure for self-sovereign applications. Dr. Van Cutsem supervises PhD students including Weihong Wang, with whom he has co-authored multiple recent publications. He is currently leading several research projects including SODISA (Scalable Software Development and Infrastructure for Self-sovereign Applications), Secure Sandboxing for WebAssembly-based Smart Contracts, and Programming languages for privacy-preserving and verifiable computing, with funding extending through 2028-2029. He leads research within the Distributed and Secure Software (DistriNet) group at KU Leuven, which focuses on creating secure and dependable distributed systems. His team works on cutting-edge challenges in blockchain infrastructure, smart contract security, and decentralized application development, with connections to both academic and industrial partners including Nokia Bell Labs.

Jamie H. WarnerView profile

Professor

• Nanostructured Materials
• Electronics
• Opto-Electronics
• +3 more

**Jamie H. Warner** is the **Temple Foundation Endowed Professor No. 1** in the **Walker Department of Mechanical Engineering** at **The University of Texas at Austin**, part of the **Cockrell School of Engineering**. He leads the **TMI Electron Microscopy Facility** and the **Warner Group**, focusing on **nanostructured materials** for electronic, opto-electronic, and energy applications. His research employs advanced techniques like aberration-corrected TEM and in-situ nanofabrication. Previously at the **University of Oxford** (2006–2020), he held roles including **Professor of Materials** and led research groups. He has advised **30 PhD students**, earned an **ERC Consolidator Grant (2018)**, and is a **Fellow of the Royal Society of Chemistry (2019)**. Research interests include **2D materials (graphene, MoS₂, WS₂)**, **defect dynamics**, **opto-electronic devices**, and **catalysis**. His work bridges materials synthesis, characterization (via TEM/SEM/AFM), and device applications in energy and optoelectronics. Key achievements include over **300 peer-reviewed publications** in journals like *Science*, *Nature Materials*, and *ACS Nano*, and editorial roles for *Materials Today* journals. His recent work emphasizes **large-area transparent opto-electronics** and **single-atom catalysts**.

Sammy PeroneView profile

Associate Professor

• Developmental Neuroscience
• EEG Methodology
• Emotion Regulation
• +3 more

Summary Sammy Perone is an Associate Professor in the Department of Human Development at Washington State University (WSU), affiliated with the College of Agricultural, Human, and Natural Resource Sciences (CAHNRS). He holds a Ph.D. in Psychology from the University of Iowa (2010) and a B.A. in Psychology from Purdue University (2003). His research focuses on developmental neuroscience, particularly the neural basis of emotion regulation, executive function, and EEG methodology. He has explored how brain dynamics (e.g., frontal EEG asymmetry, cortical rhythms) relate to self-regulatory processes across infancy to adulthood. Key professional milestones include a NICHD Postdoctoral Fellowship at the University of Minnesota (2014–2016) and a postdoctoral position at the University of Iowa (2011–2014). His work bridges developmental psychology and neuroscience, with studies on boredom, executive function, and contextual influences on neural activity. His recent publications emphasize the role of boredom in developmental contexts and the application of dynamic systems theory to cognitive development. Perone’s research emphasizes empirical and theoretical integration, using EEG to link brain activity to behavioral outcomes. He collaborates on projects involving parent-child interactions, infant cognitive development, and the impact of environmental conditions on emotion regulation. Current interests include refining EEG methodologies to capture developmental trajectories and exploring neurocognitive underpinnings of self-regulatory behaviors.

Sean SamView profile

Lecturer

• Creative Writing
• Indigenous Literature
• American Literature
• +3 more

Sean Sam is a lecturer at Cornell University's Department of Literatures in English, specializing in creative writing. A member of the Navajo Nation, his work intertwines Indigenous narratives with contemporary themes. He teaches courses like 'FWS: Short Stories' and 'Creative Writing,' and has contributed to journals such as The Georgia Review , Joyleand , and Poetry Northwest . Sam is the recipient of the George Harmon Coxe Fiction Prize and Terrain.org’s 12th Annual Fiction Contest, with works exploring cultural identity, environmental humanities, and existential themes. His publications span fiction, poetry, and essays, reflecting his commitment to diverse storytelling forms. Education : BA in Literatures in English from Virginia Commonwealth University. Affiliations : Fiction editor at 128 Lit ; taught at the Emerging Diné Writers’ Institute (Navajo Technical University). Research & Writing : Sam's fiction and poetry often focus on Indigenous perspectives, historical memory, and the intersection of culture with modernity. His forthcoming novel further explores these themes. Recent works include Phantasmagoria (forthcoming in Georgia Review ) and The Frontier (winner of Terrain.org's 2024 contest). Awards : Includes the George Harmon Coxe Fiction Prize, Terrain.org’s 12th Annual Fiction Contest, and finalist for the James Welch Prize. Teaching : Courses emphasize creative writing techniques, short story craft, and narrative innovation. Sam also mentors emerging Diné writers through outreach programs.

Cheng TanView profile

Assistant Professor

• Computer Systems
• Machine Learning Verification
• Concurrent Systems
• +3 more

Cheng Tan is an Assistant Professor at the Khoury College of Computer Sciences, Northeastern University, and a member of the Systems Research Group. His research focuses on computer systems, with an emphasis on verifying outsourced services, including ML systems, concurrent systems, and execution on untrusted servers. Ph.D. in Computer Science from Courant Institute, NYU (2020), advised by Michael Walfish. M.S. and B.E. from Fudan University and Nanjing University, respectively. Cheng Tan's research explores verification mechanisms for systems relying on machine learning and untrusted environments. Key areas include ML system robustness , consistency models , and secure execution . His work addresses challenges in trusted computing, such as adversarial attacks, encrypted databases, and decentralized services. His recent publications span conferences like SOSP, ASPLOS, NeurIPS, and EuroSys. Common themes include neural network verification , secure systems , and concurrency control . These studies often leverage formal methods to ensure correctness in complex environments. Scientific Awards : MSR Asia StarTrack Scholar (2024), ASPLOS Distinguished Artifact Award (2023), NSF CAREER Award (2023), NYU Janet Fabri Prize (2021), SOSP Best Paper Award (2017). Cheng Tan advises PhD students Jian Zhang, Brent Zhao, Shuyi Lin, and Zikai Wang. He has taught courses such as LLM systems (CS7670), Operating Systems Implementation (CS6640), and Computer Systems (CS3650, CS5600). He also serves on program committees for conferences like OSDI, MLSys, and ATC.

Zirui Neil ZhaoView profile

Assistant Professor

• Computer Architecture
• Security and Privacy
• Cloud Computing
• +4 more

Zirui Neil Zhao is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin, specializing in computer architecture, security, and cloud computing. Previously, he was a postdoctoral researcher at NVIDIA Research after completing his PhD at the University of Illinois Urbana-Champaign. His academic journey includes: PhD in Computer Science, University of Illinois Urbana-Champaign (2024), advised by Prof. Josep Torrellas BS in Applied Physics, University of Science and Technology of China (2018), School of the Gifted Young (Yan Jici Talent Program) Dr. Zhao's research centers on side-channel attacks and defenses across cloud-computing stacks, with breakthroughs including end-to-end attacks in Google Cloud (ASPLOS 2024) and low-noise side channels in Intel CPUs (USENIX Security 2022). His defense strategies span information theory, cache systems, OS design, program analysis, and data-oblivious programming, aiming to build attack-resistant public clouds. His work bridges theoretical rigor with real-world cloud environments. His 15 recent publications (2018-2025) reveal a dominant focus on hardware-software security interfaces, evolving from symbolic execution tools to cutting-edge cloud-side-channel research. Key trends include practical attack demonstrations in production clouds, defense frameworks for speculative execution, and cross-layer mitigation strategies from hardware to programming models, consistently targeting real-world deployability. His accolades include: W. J. Poppelbaum Memorial Award for architectural creativity (UIUC, 2023) IEEE Micro Top Picks 2025 and 2024 Honorable Mention Top Picks in Hardware and Embedded Security 2024 Actively recruiting graduate students for hardware/system security research, Dr. Zhao teaches ECE 382N: Security at the Hardware-Software Interface (Fall 2025). His service includes program committees for CCS 2025, HPCA 2024, and Top Picks in Hardware Security 2024. While specific grants aren't detailed, his prolific output in top venues (ASPLOS, ISCA, MICRO, USENIX Security) indicates robust research support. His lab focuses on practical cloud security challenges within UT Austin's ECE ecosystem.

• Machine Learning
• Intelligent Data Analysis
• Biomedical Signal Processing
• +7 more

Jose Rafael Magdalena Benedicto is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a core member of the Intelligent Data Analysis Laboratory (IDAL), where he leads research in machine learning, biomedical signal processing, and data science applications in health and industry. Doctorate: Universitat de València (2000) His research interests span machine learning , intelligent data analysis , biomedical engineering , neurocognitive disorders in metabolic and psychiatric diseases , algebraic geometry , and quantum machine learning . His work bridges theoretical advances in symbolic computation and applied AI with real-world problems in medicine and industrial systems. Recent publications show a strong trend in applying machine learning to anomaly detection in enterprise systems, asymptotic analysis of algebraic curves and surfaces, and identifying inflammatory and metabolic biomarkers for cognitive impairment in diabetes and psychiatric disorders. He also explores multimodal video analysis for public safety and quantum reinforcement learning. While no scientific awards are listed in the provided text, his extensive publication record and leadership in research projects indicate significant scholarly contributions. He has supervised doctoral students, including Dr. Juan Francisco Guerrero Martínez and Dr. Javier Calpe Maravilla. His research is supported by ongoing projects in intelligent data analysis, though specific grants are not detailed. He contributes to educational innovation, having developed tools like BiomedChallenge to enhance data science learning. He is actively involved in the Intelligent Data Analysis Laboratory (IDAL) , which focuses on developing and applying advanced data analysis techniques to real-life applications in biomedicine, education, and industry.

Daniel RibasView profile

Assistant Professor

• Film Studies
• Cultural Studies
• Portuguese Cinema
• +3 more

Daniel Ribas is an Assistant Professor at the School of Arts, Catholic University of Portugal (UCP), where he coordinates the Master in Cinema program and serves as Director of the Research Center for Science and Technology of the Arts (CITAR) since 2022. He holds a PhD in Cultural Studies (2014) from Universities of Aveiro and Minho and a Bachelor in Sound and Image from UCP (2002). His expertise spans contemporary cinema, Portuguese cinema, film curatorship, and cultural studies. He has held adjunct roles at Polytechnic Institutes of Porto (2016–2017) and Bragança (2009–2018). As a curator, he collaborates with festivals like Curtas Vila do Conde and Batalha Centro de Cinema, and was part of the Artistic Direction of Porto/Post/Doc (2016–2018). He regularly contributes to PÚBLICO and serves on juries for the Instituto de Cinema e Audiovisual and the European Commission. Research focuses on Portuguese cinema’s evolution, film festivals, and cultural representation. Recent projects include the INSERT educational strategy for film literacy and curating residency programs (2018–2023). His work intersects with UN SDG 4 (Education) through accessible film education initiatives. Key contributions include editing *Um novo olhar sobre o cinema português do século XXI* (2020) and authoring *Uma dramaturgia da violência: os filmes de João Canijo* (2019). He leads over 60 academic activities annually, including conferences and editorial work, and has been cited in 22 media contributions.

• Social Influence
• Social Hierarchies
• Word of Mouth
• +7 more

Chris Du Plessis is an Assistant Professor of Marketing at the Lee Kong Chian School of Business, Singapore Management University (SMU), where he has been a full-time faculty member since 2017. His academic journey includes a PhD in Marketing from the Rotterdam School of Management (2017), an MSc in Management from INSEAD (2013), and dual bachelor’s degrees in Marketing and Physiology/Biomedical Science from the University of Queensland (2009/2008). His research focuses on Social Influence, Power Dynamics, Consumer Decision-Making, and Brand Strategy , with notable contributions to understanding how power hierarchies affect interpersonal trust, social closeness, and word-of-mouth behaviors. He has been recognized for his teaching excellence with multiple awards, including the Dean’s Teaching Honour List (2018–2022) and being named among the Best 50 Undergraduate Professors (2022). Prof. Du Plessis has secured significant grant funding, including a Singapore MOE Academic Research Fund Tier 2 Grant (2023–2026) as Co-Principal Investigator, and has published in top journals like Journal of Consumer Research and Organizational Behavior and Human Decision Processes . His work explores intersections between consumer behavior, social psychology, and organizational dynamics. Key research themes include: Power asymmetries and their psychological impacts Brand association learning processes Ethical implications of incentivized reviews Cross-cultural moral judgments He actively participates in academic replication initiatives to advance methodological rigor, reflecting his commitment to scientific integrity. His research often bridges theoretical frameworks with practical marketing strategies in domains like luxury goods and digital consumer behavior.

Ruimin SunView profile

Assistant Professor

• Cybersecurity
• AI Security
• Embedded Systems Security
• +7 more

Ruimin Sun is an Assistant Professor in the School of Computing and Information Science at Florida International University (FIU), where she joined in 2022. She previously served as a Postdoctoral Researcher at the Secure Systems Lab (seclab) at Northeastern University and earned her Ph.D. from the Florida Institute for Cybersecurity (FICS) at the University of Florida in 2019 under Dr. Daniela Oliveira. Her research focuses on securing AI applications, embedded systems, industrial control systems, and improving software reliability. She leads projects funded by the National Science Foundation (NSF) and the Department of Homeland Security (DHS), including the ADMIRE Center and the Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure project. NSF CICI: Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure DHS: ADvanced education and research for Machine learning-driven critical Infrastructure REsilience (ADMIRE) Center NSF CITES: Trustworthy Lifecycle Modeling of CPS using Formal Methods Her recent publications in top venues such as IEEE S&P, USENIX Security, and NDSS highlight trends in securing on-device machine learning, fuzz testing for embedded systems, and defending industrial control systems using adaptive AI and formal methods. Her work bridges theoretical rigor with practical deployment in critical infrastructure and mobile platforms. She has received scientific recognition including the GREPSEC II Travel Award and Best Poster Awards at the Warren B. Nelms Annual IoT Conference. She also serves on the program committees of premier security conferences including USENIX Security, CCS, and EuroS&P, and has co-chaired the RICSS workshop. Ruimin Sun actively advises students across all levels, from K-12 to Ph.D., fostering a diverse and talented research group. Her lab emphasizes hands-on cybersecurity education and innovation in secure AI and embedded systems.