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Katherine E. LewisView profile

Associate Professor

• Mathematics Learning Disabilities
• Dyscalculia
• Accessibility in Mathematics Education
• +7 more

Katherine E. Lewis is an Associate Professor in the College of Education at the University of Washington, specializing in Special Education with a focus on high-incidence disabilities teacher education (SPED-TEP) within the Learning Sciences & Human Development area. She holds a Ph.D. and M.A. in Education from the University of California, Berkeley, an M.Sc. in Multimedia Systems from Trinity College, Dublin, and a B.A. in Psychology from the University of Notre Dame. Dr. Lewis's research fundamentally centers on designing accessible educational contexts, particularly for students with disabilities. Her primary research line focuses on students with mathematics learning disabilities (dyscalculia), where she rejects the deficit model in favor of a disability studies approach. She believes individuals are disabled not by neurological differences but by inaccessible spaces and contexts. Her work identifies how students with mathematics learning disabilities develop unconventional understandings of mathematical representations and compensatory strategies to gain access. Her second research line involves designing educational supports for foster and adoptive parents, including the resource website foster-edu.com. A third emerging area examines how American Sign Language can support Deaf students' understanding of mathematics concepts. Her publications reveal a consistent theme of bridging mathematics education and special education, challenging traditional deficit perspectives on learning disabilities. Her work emphasizes designing accessible instruction through detailed analysis of students' unconventional mathematical reasoning rather than attempting to remediate perceived cognitive deficits. She has developed innovative research methods, including clinical interviews and video analysis of one-on-one tutoring sessions, to document students' unique approaches to mathematics. Linking Research and Practice Outstanding Publication Award from the National Council of Teachers of Mathematics, 2018 National Academy of Education - Spencer Postdoctoral Fellow, 2015 Early Career Publication Award of the Special Interest Group on Research in Mathematics, 2015 Spencer Dissertation Fellowship, 2010 Dr. Lewis has created research-recaps to make her work accessible, including visual summaries and videos explaining her reconceptualization of mathematical learning disabilities as differences rather than deficits. She also maintains the research website klewismath.com and the resource site foster-edu.com for foster and adoptive parents. Her personal experience with dyslexia informs her conceptualization of learning disabilities as cognitive differences rather than irreconcilable deficits, driving her commitment to designing accessible educational contexts.

Looi van KesselView profile

Assistant Professor

• LGBTQIA+ Literature
• Gender Studies
• American Studies
• +6 more

Looi van Kessel serves as Assistant Professor in Literary Studies and Gender Studies at Leiden University, affiliated with the Leiden University Centre for the Arts in Society (LUCAS) and the Department of Film and Literary Studies. He coordinates the minor program 'Gender and Sexuality in Society and Culture' and chairs both the Curriculum Committee and the Leiden University LGBT+ Network, where he advocates for equal treatment of LGBTQIA+ staff and students. Van Kessel completed his PhD in 2019 with a dissertation examining melodrama and sexual identity in the works of American author James Purdy. His academic trajectory demonstrates a commitment to exploring literature's role in shaping and challenging societal understandings of gender and sexuality across different historical periods. His research spans three interconnected domains: LGBTQIA+ literary analysis focusing on authors James Purdy and Louis Couperus; AIDS epidemic literature examining how writing from this period functions as pedagogy for future generations; and contemporary drag culture analysis, particularly in response to rising anti-drag sentiment across Europe. His work consistently explores how literature creates space for alternative sexual identities and challenges rigid categorizations of gender and sexuality. As an educator committed to inclusive practices, Van Kessel researches democratizing pedagogies that recognize diverse student backgrounds and learning needs. He co-leads a project assessing the Film and Literary Studies curriculum at Leiden University to develop more inclusive teaching approaches that address not just course materials but also workload, teaching methods, and assessment formats. Van Kessel holds significant editorial positions as co-chief editor for Tijdschrift voor Genderstudies (Dutch Journal for Gender Studies) and editorial board member for Arabesken, the journal of the Louis Couperus Society. His public engagement includes regular contributions to media discussions on LGBTQIA+ issues, addressing topics from substance abuse in queer communities to the political challenges facing drag performers. His recent work demonstrates how academic research can directly inform contemporary social debates and policy discussions regarding LGBTQIA+ rights and representation.

Michele CookeView profile

Associate Professor

• Active Faulting in Southern California
• Mechanical Modeling of Fault Systems
• Subduction Zone Hazards
• +5 more

Michele Cooke is an Associate Professor at the University of Massachusetts Amherst , affiliated with the School of Earth and Sustainability. Her research focuses on mechanical modeling of fault systems, particularly in Southern California, and she leads initiatives for disability equity in geosciences. Contact: cooke@umass.edu | (413) 577-3142 | Morrill 3 230, 611 N Pleasant St, Amherst, MA Research Interests: Active faulting and work minimization in fault evolution Integration of analog experiments (sandbox/claybox) with numerical models Disability equity in geosciences (e.g., The Mind Hears mentoring forum) Subduction zone hazards and energy budgets Earthquake early warning accessibility for deaf communities Education: Ph.D., Stanford University

Bright VargheseView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +3 more

Bright Varghese, Ph.D., is an Assistant Professor of Computer Science at Maryville University. With 17 years of experience including 16 years in teaching, his expertise spans programming, web development, Android app development, and project management. He holds a B.E. from Manonmaniam Sundaranar University, M.E. from Vinayaka Missions University, and Ph.D. from Karunya Institute of Technology and Sciences. His research focuses on software re-modularization using hybrid heuristic approaches, deep learning for sign language recognition, and optimization algorithms. He has deployed learning management systems like Open edX LMS for web platforms and Moodle LMS for mobile applications. His academic contributions include advancing software engineering practices and integrating machine learning into educational technology solutions. Though no formal awards are listed, his work highlights innovation in both theoretical and applied computer science domains. No grants or specific lab affiliations are detailed in the provided information.

Janet van HellView profile

Professor

• Bilingualism
• Second Language Acquisition
• Neurocognitive Processes in Language Development
• +3 more

Janet van Hell is Professor of Psychology and Linguistics at Pennsylvania State University , where she also serves as Co-Director of the Social, Life, and Engineering Sciences Imaging Center (SLEIC) and Co-Director of the Center for Language Science . She leads the Bilingualism and Language Development (BiLD) Lab , investigating neurocognitive aspects of bilingual language use. Education: Ph.D., University of Amsterdam, 1998 Research Interests: Her work centers on bilingualism , second language acquisition , and the neurocognitive mechanisms underlying language development. Using EEG/ERP , behavioral, and linguistic techniques, her lab explores cross-language interaction, code-switching, and foreign-accented speech comprehension. The ‘brain bus’ , a mobile EEG lab, extends her research into schools and public outreach. Publications Overview: Her recent publications span bilingual phonetics , syntax processing , memory consolidation , and executive control , with a focus on EEG/ERP methodologies and experimental behavioral paradigms . Studies often involve heritage speakers , child bilinguals , and late L2 learners . Advising & Collaborations: Advises numerous PhD students and postdocs, many co-authoring papers (marked with *). Collaborates across Psychology, Linguistics, and Neuroscience departments. Leads outreach via the ‘brain bus’ for public engagement in science. Labs & Centers: BiLD Lab – Bilingualism and Language Development Lab SLEIC – Co-Director, Social, Life, and Engineering Sciences Imaging Center Center for Language Science – Co-Director

Krishna MadaparthiView profile

Senior Lecturer

• American Sign Language Education
• Deaf Studies
• Sign Language Interpretation
• +3 more

Krishna Madaparthi serves as a Senior Lecturer in American Sign Language & Interpreting Education at Northeastern University's College of Social Sciences and Humanities. A Deaf Canadian raised in Ottawa, Ontario, he brings extensive international teaching experience spanning community settings, post-secondary institutions, and Japan's NPO-Japanese ASL Signer Society where he taught Deaf and hearing Japanese signers. His educational credentials include: Bachelor of Information Technology (BIT) in Network Technology from Carleton University & Algonquin College Master of Arts in ASL Education (MASLED) from Gallaudet University SLIC’s CEFR Certification and American Sign Language Instructor Certification Madaparthi's research focuses on ASL pedagogy and assessment frameworks, particularly through his role as research assistant for Dr. Kristin Snoddon’s ASL-Parent research programs implementing the Common European Framework of Reference. His work bridges Deaf education theory with practical application across diverse linguistic contexts, emphasizing second-language acquisition for ASL learners. Professional recognition includes: Appreciation Award from Japan's NPO-Japanese ASL Signer Society (2021) Gallaudet University's Dr. Nathie L. Marbury Award (2021) Carleton University's Raving Raven for Teaching Excellence (2018) He actively shapes the field through leadership roles as Board Director of the Ontario Association of Sign Language Interpreters (OASLI) and committee service for CASLI and SLIC. His teaching methodology integrates community engagement through initiatives like ASL Coffee Nights and Ottawa Deaf Centre's Summer Sign Camp, while his research contributes to standardized sign language assessment frameworks. Beyond academia, Madaparthi explores global cuisines and outdoor activities including international hiking and camping expeditions.

Fredrik SandinView profile

Professor

• Machine Learning
• Neuromorphic Technologies
• Computational Physics
• +6 more

Fredrik Sandin is a Professor in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, where he leads the Machine Learning research group with approximately thirty members. His work focuses on neuromorphic technologies and the intersection of machine learning with computational physics to solve challenging real-world interaction problems. He coordinates the 'Teknisk fysik och elektroteknik' program at LTU and has been instrumental in establishing neuromorphic research activities at the university. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Member of WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIS (European Laboratory for Learning and Intelligent Systems) Coordinator of Neuromorphic Innovation Platform Sweden with KTH, Lund University, Uppsala University, FOI, ABB, Ericsson, and SAAB Fredrik earned his PhD in Physics from Luleå University of Technology in 2007, with thesis work focusing on dense states of matter in neutron stars. His academic journey began with an MSc diploma work in ATLAS at CERN in 2001, followed by postdoctoral research in computational physics at IFPA in Belgium (2008-2009) and brain-like computing at EISLAB with Prof. Jerker Delsing (2010-2011). Professor Sandin's research interests center around neuromorphic technologies, particularly neuromorphic computing and spiking neural networks. He investigates sensor/detector and intelligent systems co-design where constraints like energy, power, latency, and dynamic range challenge conventional digital approaches. His work spans mixed-signal neuromorphic circuits, algorithms, and systems, as well as machine learning projects involving industrial data and collaboration. He has been a key figure in establishing neuromorphic research at LTU, supported by The Kempe Foundations, particularly through the 2014 Gunnar Öquist Fellowship. His recent publications demonstrate a strong interdisciplinary focus spanning quantum phase transitions, particle physics detector optimization, renewable energy materials, and the integration of large language models into control systems. This diverse portfolio reflects his approach connecting machine learning with fundamental physics and practical engineering applications, particularly in neuromorphic computing and intelligent systems design, with emphasis on solving real-world problems through co-design of hardware and algorithms. Gunnar Öquist Fellowship Award and 3 MSEK grant from The Kempe Foundations ISSP award for an Original Work in Theoretical Physics (signed by Prof. 't Hooft and Prof. Zichichi) New-Talents award for original work in theoretical physics at the International School of Subnuclear Physics in Erice Professor Sandin has supervised numerous PhD students working on topics ranging from neuromorphic TinyML to materials for neuromorphic computing, privacy-preserving machine learning at the edge, and intelligent fault diagnosis. He has secured substantial research funding from various sources including Vinnova, ÅForsk, Kempe Foundations, WASP-WISE, and EU programs like ECSEL JU Arrowhead Tools and ITEA3 AutoDC. His current major projects include the Neuromorphic Innovation Platform Sweden and several initiatives focused on neuromorphic condition monitoring and computing, with total funding exceeding 30 MSEK in the past five years. He leads the Machine Learning group at LTU, which collaborates extensively with industry partners including ABB, Ericsson, SAAB, SKF, and RISE. The group is active in developing neuromorphic technologies for wireless sensor networks, condition monitoring systems, and next-generation intelligent systems that address energy, power, and latency constraints that challenge conventional digital approaches.

• Cybersecurity
• Cryptography
• Malware Analysis
• +3 more

Tudor Dumitras is an Affiliate Associate Professor at the University of Maryland, College Park, holding appointments in the Department of Electrical and Computer Engineering (ECE) and the Department of Computer Science (CS). He is affiliated with The Maryland Cyber Security Center (MC2), where he leads research initiatives in cybersecurity and cryptography. His work focuses on malware detection, system security, and analyzing real-world vulnerabilities like the Heartbleed bug. Dumitras has collaborated with institutions such as Northeastern and Stanford Universities on critical security challenges, including SSL certificate reissuance and revocation strategies. His research interests span machine learning applications in cybersecurity, network security protocols, and adversarial attack mitigation. Notable contributions include developing automated tools for vulnerability exploitation prediction (SCAVY) and investigating the robustness of machine learning models against adversarial examples. Dumitras advises PhD students Simge Tekin and Kamala Varma, focusing on advancing cybersecurity through data-driven approaches. Key projects include analyzing software adoption patterns, studying zero-day attacks, and improving PKI security. His work often bridges academic research with industry practices, leveraging big data from sources like Symantec's WINE system. Dumitras has published extensively on topics ranging from malware behavior analysis to hardware fault attacks on neural networks.

Barbara Sophie Hänel-FaulhaberView profile

Professor

• German Sign Language (DGS)
• Language Acquisition in Hearing-Impaired Children
• Inclusive Education
• +5 more

Prof. Dr. Barbara Sophie Hänel-Faulhaber is a Professor at the University of Hamburg’s Faculty of Education , specializing in German Sign Language (DGS) and audiopedagogy . Her research focuses on language acquisition and processing in DGS , particularly among deaf children and inclusive educational settings . She leads the Deafness, Language and Learning Lab (D2L) and contributes to the faculty’s core research area Literacy in Diversity Settings . Education: Dr. phil. in Sign Languages (University of Hamburg, 1999–2003) Magister Artium in Sign Languages, Linguistics (University of Hamburg, 1996–1999) Double Degree in Deaf Education, Elementary Education (LMU Munich, 1992–1996) Her work examines bimodal-bilingual education , iconicity in early sign learning , and structural conditions in inclusive daycare centers . She develops diagnostic tools like the DGS-Version of MBK 0 for assessing numerical competencies in deaf children. Current projects include Coactivation of Difference (2023–2026) and Sign4Inclusion (Math) (2023–2024). Scientific Awards: Institutional Prize for German Language 2023 Heinrich Böll Stiftung Promotionsstipendium (1999–2003) Wilhelm-Stiftung Post Doc Fellowship (2005) She collaborates with institutions like the Institute of German Sign Language and Deaf Communication and the Graduate School Martha Muchow , with recent publications spanning sign language diagnostics , inclusive pedagogy , and cross-modal literacy studies .

A. Erdem SariyuceView profile

Associate Professor

• Graph Mining
• Social Network Analysis
• Network Science
• +4 more

A. Erdem Sariyuce is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on graph mining, network science, and distributed computing. He holds a PhD from Ohio State University (2015) and a BS from Middle East Technical University (2010). His work explores temporal network analysis, social network dynamics, and algorithm design for large-scale systems. Notable contributions include methods for motif detection, core decomposition, and stream processing in bipartite networks. Sariyuce has received prestigious awards such as the NSF CAREER Award (2023) and the UB Exceptional Scholar—Young Investigator Award (2023). His research is supported by grants including the LDRD Project at Sandia National Laboratories (2016-2017). Education: PhD, Computer Science and Engineering, Ohio State University, 2015 BS, Computer Engineering, Middle East Technical University, 2010 Research interests emphasize graph algorithms, network resilience, and parallel computing. His recent projects include analyzing financial networks, identifying cohesive communities, and developing efficient algorithms for temporal data. His work bridges theoretical foundations with practical applications in social media, cybersecurity, and bioinformatics. Awards: UB Exceptional Scholar—Young Investigator Award (2023) NSF CAREER Award (2023) SEAS Early Career Researcher of the Year (2020) Advising and grants highlight his leadership in collaborative projects, including the NSF-funded Collaborative Research: OAC Core: Fast Tools for Complex Event Detection over Bipartite Graph Streams (2021). His research often involves industry partnerships and government labs, such as Sandia National Laboratories.

John GuttagView profile

Professor

• AI for Healthcare and Life Sciences
• Biological and Medical Devices and Systems
• Graphics and Vision
• +3 more

John Guttag is the Dugald C. Jackson Professor in Electrical Engineering and Computer Science at MIT. His work focuses on AI-driven healthcare solutions, biomedical systems, and advanced computer vision applications. He leads research in medical image analysis, machine learning reliability, and healthcare equity. Guttag's contributions include innovative frameworks like MultiMorph and Scale-Space Hypernetworks, addressing challenges in medical imaging and clinical decision-making. Affiliations: MIT Electrical Engineering & Computer Science Department (EECS) Research emphasizes AI for healthcare, particularly in segmentation, predictive analytics, and ethical algorithm design. Notable projects include real-time fraud detection systems and studies on racial disparities in clinical risk scores. His work bridges computer science with clinical practice through tools like Voxelmorph for medical image registration and ScribblePrompt for interactive biomedical segmentation. Recent publications highlight advancements in uncertainty-aware AI, contrastive learning, and scalable medical data processing. Guttag’s methodologies prioritize practical clinical applications, aiming to improve diagnostics and healthcare workflows. His lab develops open-source tools and frameworks that enhance accessibility to advanced medical imaging technologies.

Silke HamannView profile

Researcher

• Phonology
• Phonetics
• Language Acquisition
• +8 more

Dr. Silke Hamann is a researcher at the University of Amsterdam, Faculty of Humanities, Department of Linguistics. Her work bridges phonology and phonetics, focusing on the emergence of phonological features, perceptual cues in segmental contrasts, and the interaction of phonology with orthography and language acquisition. Current projects: diachronic loanword adaptation, congenital amusia's impact on speech perception, Bantu languages (with Nancy Kula and Laura Downing), Catalan studies (with Francesc Torres-Tamarit) Research interests span synchronic/diachronic phonology, phonetic perception, computational modeling of phonological acquisition, and cross-linguistic analysis of retroflex consonants. Her publications analyze phenomena in Korean, Japanese, Bantu languages, German, Portuguese, and Slavic languages, with recurring themes of cue weighting, phonological constraints, and orthographic influence. Recent articles highlight her focus on creaky voice diagnostics, loanword phonotactics, congenital amusia, and Bantu intonation systems. Collaborations with Nancy Kula (Bantu) and Francesc Torres-Tamarit (Catalan) underscore her international research network.

Marco BianchiView profile

Senior Lecturer

• runology
• historical sociolinguistics
• textual research
• +2 more

Marco Bianchi serves as Senior Lecturer and Head of the Department of Nordic Languages at Uppsala University, where he also acts as Proinspector at Gotland Nation. His academic leadership extends to editorial roles as Editor of Futhark: International Journal of Runic Studies and member of the Samnordisk runetext database committee. His educational trajectory includes a PhD in Nordic Languages from Uppsala University (2010) and a lic.phil. degree in general history, Old Norse philology, and comparative Old Germanic linguistics from the University of Zurich (2003). PhD in Nordic Languages, Uppsala University (2010) lic.phil. in History/Old Norse/Comparative Germanic Linguistics, University of Zurich (2003) Bianchi's research centers on runology, historical sociolinguistics, and Germanic language history, with particular emphasis on textual boundaries and sociocultural contexts of runic inscriptions. His current Eternity Runes Project investigates interdisciplinary connections between epigraphy, semiotics, and Viking Age communication practices, revealing how runestones functioned as social media in early Scandinavian societies. Methodologically, he bridges digital humanities with traditional philological analysis to decode multilinear inscriptions and para-graphic elements. His 12+ publications since 2007 demonstrate consistent focus on runic studies, evolving from technical analyses of inscription boundaries (2012) to contemporary digital corpus management (2022). Key thematic clusters include sociolinguistic interpretations of runestones, editorial standardization for international databases, and critical reassessments of historical runology pioneers like Otto von Friesen. Bianchi actively shapes the field through graduate supervision and editorial stewardship, mentoring students like Sonja Entzenberg and Simon Karlin Björk while guiding Futhark 's publication strategy. His work receives international recognition through citations in Wikipedia and academic discourse, though formal awards aren't documented.

• Cyber-Physical Systems
• Industry 4.0
• Augmented Reality
• +4 more

Thomas Ludwig is a Professor of Information Systems with a focus on Cyber-Physical Systems at the University of Siegen. He holds a PhD (summa cum laude) from the same institution and has led numerous research initiatives in Industry 4.0, digital transformation, and human-centered technology design. His work spans augmented reality (AR), gamification, and AI integration in manufacturing. Ludwig co-founded and coordinates the 'Mittelstand 4.0-Kompetenzzentrum Siegen' to support SMEs in digitalization. He has authored over 50 publications in top-tier journals and conferences, including Computer Supported Cooperative Work (CSCW) and Proceedings of the ACM on Human-Computer Interaction . His research has been recognized with awards such as the IHK Preis 2017 for Best Dissertation and the Artur-Woll-Preis. Education: Diplom-Wirtschaftsinformatiker from University of Siegen (2012), PhD in Information Systems (2016), with a focus on socio-technical systems and mobile/social media research. Research Interests: Cyber-Physical Systems, AR applications, gamification design, AI in production planning, and digital competency frameworks for SMEs. He leads projects like Fusion, KOKOS, and EKPLO, addressing challenges in collaborative work, disaster management, and industrial digitalization. Grants & Projects: Projects include EU-funded EMERGENT, BMBF-funded KOKOS, and the self-acquired EKPLO initiative for APS systems in SMEs. He also coordinates the Zukunftszentren KI NRW and the EDIH Südwestfalen. Awards: 32. IHK Preis 2017, Artur-Woll-Preis, pwc-Preis, and multiple best paper awards at international conferences. Labs/Teams: Part of the Cyber-Physical Systems Lab at University of Siegen and the interdisciplinary team behind the 'Rendezfood' and 'Advanced Planning Systems' initiatives.

• Child Language Disorders
• Developmental Language Disorder
• Autism Spectrum Disorder
• +5 more

Nicole Magaldi is a Professor in the Department of Communication Sciences and Disorders at Long Island University, School of Health Professions. With over 20 years of clinical experience in hospitals, early intervention, schools, and private practice, she brings a strong applied perspective to her academic work. Her expertise centers on child language disorders, particularly Developmental Language Disorder and Autism Spectrum Disorder. Educational Background: B.S., Cortland University M.A., Kean University Ph.D., New York University Dr. Magaldi's research focuses on evidence-based practice in child language disorders, clinical education methods, and the impact of reproductive factors on neurodevelopmental outcomes. She has published extensively on terminology navigation, pedagogical tools like problem-based learning, and early identification of autism. Her work bridges clinical practice and academic training, emphasizing practical solutions for clinicians and educators. The recent publications highlight a growing interest in integrating educational strategies with clinical rigor, particularly in training future speech-language pathologists. Her research also explores environmental and reproductive risk factors associated with Autism Spectrum Disorder, contributing to broader public health understanding. Scientific Awards: Dissertation of the Year, New York University Dr. Magaldi is actively involved in professional development through her membership in the American Speech-Language-Hearing Association (ASHA) and service on the Professional Development Committee for ASHA’s Special Interest Group 1 (SIG 1). While specific grant details are not listed, her sustained research output suggests ongoing scholarly and possibly funded activity. She mentors graduate students through research collaboration and clinical supervision, though no named advisees are listed. She is affiliated with the Department of Communication Sciences and Disorders, which operates under the School of Health Professions at LIU. Her work contributes to both clinical innovation and academic advancement in speech-language pathology.