Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.
Naomi Rogers, Ph.D. (She/Her) is Professor of the History of Medicine in the Section of the History of Medicine and the Program in the History of Science and Medicine at Yale University. She holds courtesy appointments in the History Department and the Women's, Gender and Sexuality Studies Program, and serves on Yale's Dean's Advisory Council for LGBTQI Affairs. Professor Rogers teaches undergraduate, graduate, and medical students, regularly lecturing on the history of AIDS, reproduction, health economics, eugenics, nutrition, disability, and health activism. Professor Rogers' educational background includes: PhD in History from University of Pennsylvania (1986) MA from University of Pennsylvania (1986) BA in Music from Melbourne University (1980) BA with Honors from Melbourne University (1979) Her research focuses on 20th and 21st century history of medicine with emphasis on health inequities and social justice. Professor Rogers' historical interests span gender and health, disease and public health, disability studies, feminism, alternative medicine, health policy, and health activism. Her work critically examines the intersection of medical practices with social movements, particularly how marginalized communities have challenged medical orthodoxy throughout American history. She has published extensively in journals such as American Journal of Public Health, Bulletin of the History of Medicine, Journal of Medical Humanities, Radical History Review, Social History of Medicine, and Women and Health. Professor Rogers' recent scholarship demonstrates a consistent focus on the historical dimensions of contemporary health issues, particularly vaccine politics, abortion history, and community health activism. Her publications reveal patterns of resistance to medical authority, the role of race and gender in shaping health outcomes, and the historical roots of current health justice movements. Her work bridges academic history with public engagement, as evidenced by her frequent media commentary on COVID-19 and other health issues in outlets including BBC Radio, CNN, Huffington Post, National Public Radio, New York Times, Wall Street Journal, and Washington Post. Among her notable recognitions: AAHN's Lavinia L. Dock Award for Exemplary Historical Research for 'Polio Wars: Sister Kenny and the Golden Age of American Medicine' (2014) Presenter of the AAHM's Garrison Lecture: 'Radical Visions of American Medicine: Politics and Activism in the History of Medicine' (2017) Professor Rogers has been actively involved in academic leadership and mentoring. She has served as Director of Graduate Studies for the 2022-23 academic year, Chair of the Women's Faculty Forum, and Liaison to the Committee on Status of Women in Medicine. Her service extends to editorial boards including the Journal of the History of Medicine and Allied Sciences since 2018. She has also contributed to public understanding of medicine through consultations for documentaries including 'The Polio Crusade' (PBS), 'On the Basis of Sex' (Focus Features), and 'War on Science' (in process). Currently, Professor Rogers serves on the Medical School's OBGYN 'Dobbs' Sessions Planning Committee, which has organized webinars for the Yale community, and was co-organizer of the history-themed session 'Rooted in History: Abortion, Law and American Health Care.' She is working on her book project 'Health Radicalism and the Humanization of American Medicine' (under contract with Oxford), examining critics of medical orthodoxy since 1945 including civil rights, consumer, and feminist activists. She also conducts ongoing research on antisemitism in American medicine in the decades before and after World War II.
Istvan Albert is a Research Professor of Bioinformatics at Pennsylvania State University , affiliated with the Department of Biochemistry and Molecular Biology . He leads the Bioinformatics Consulting Center and teaches BMMB 852: Applied Bioinformatics . Research Interests: Specializing in bioinformatics, large-scale biological data analysis, microarray and sequence analysis, scientific programming, algorithm development, and database-driven web development. His work spans gene ontology visualization , RNA-Seq analysis , and coronavirus research . Software Development: Created GeneScape for gene function visualization and bio for bioinformatics workflows. Maintains the Biostar Handbook series and the Biostars Q&A Forum , a leading bioinformatics resource.
Mohamed F. Mokbel is a Distinguished McKnight University Professor in the Department of Computer Science and Engineering at the University of Minnesota - Twin Cities , where he also serves as the Director of Graduate Studies. He is recognized as an IEEE Fellow and ACM Distinguished Member for his contributions to spatially- and privacy-aware systems. His research focuses on database systems , spatial data management , and GIS (Geographic Information Systems) , with significant work in spatiotemporal data, location-based services, and machine learning for spatial applications. His most recent publications address scalable BERT-based trajectory imputation , spatial logistic regression frameworks , and spatiotemporal big data decay techniques . Key Awards: Distinguished McKnight University Professor (2023) ACM SIGSPATIAL 10-Year Impact Award (2022) IEEE Fellow (2020) ACM Distinguished Member (2017) NSF CAREER Award (2010) Selected Conference Papers: Recathon (2015, IEEE MDM Best Paper) ST-Hadoop (2017, SSTD Best Paper) KAMEL (2023, ACM SIGMOD Demo) Academic Service: Editor-in-Chief, ACM Transactions on Spatial Algorithms and Systems (2024–) General Co-Chair, ACM SIGSPATIAL 2025 Past Chair, ACM SIGSPATIAL (2014–2017)
Sara Chatfield is an Associate Professor of Political Science at the University of Denver's College of Arts, Humanities and Social Sciences, with additional affiliations in Gender and Women's Studies. Her work bridges American political development, gender politics, and methodological innovation in political science research. Dr. Chatfield earned her Ph.D. and MA in Political Science from the University of California, Berkeley (2014 and 2007 respectively), and her BA in Politics from Oberlin College (2006). Her research focuses on American political development with particular emphasis on gender and politics, public law, and political behavior. American Political Development Gender and Politics Women's Rights History Public Law Political Behavior Methodology and Causal Inference Her recent publications demonstrate a consistent focus on how gender shapes political institutions and processes across historical and contemporary contexts. Early work examined 19th century married women's economic rights reform, while more recent research investigates contemporary issues like bathroom access politics and gender disparities in political campaign staffing. Her scholarship often employs innovative methodological approaches to historical questions, bridging qualitative and quantitative traditions in political science. Dr. Chatfield teaches courses on American politics and law, including Constitutional Law I, Judicial Politics, and a freshman seminar on the politics of bathrooms. Her book In Her Own Name: The Politics of Women's Rights Before Suffrage (Columbia University Press, 2023) and her Cambridge Element The Politics of Bathroom Access and Exclusion in the United States (2024) represent significant contributions to understanding how gender shapes political institutions across historical periods.
Ruohan Gao is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park , with affiliate appointments at the University of Maryland Institute for Advanced Computer Studies (UMIACS) , Maryland Robotics Center (MRC) , and Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) . His research focuses on Computer Vision and Machine Learning , emphasizing Multisensory Machine Intelligence that integrates sight, sound, and touch . He aims to enable machines to perceive, understand, and interact with the world as humans do, with applications in robotic manipulation , audio-visual localization , and differentiable rendering . Article Trends : Span 2018–2025 , centering on audio-visual perception , multisensory datasets , and robotics . Recurring themes include object-centric learning , sound synthesis , and cross-modal consistency . Scientific Awards : Michael H. Granof Award (UT Austin’s Top 1 Doctoral Dissertation, 2021) Best Paper Award Runner-Up (BMVC 2021) Best Paper Award Finalist (CVPR 2019) Highlight Paper (CVPR 2023) He leads the UMD Multisensory Machine Intelligence Lab and collaborates with institutions like Stanford and The University of Texas at Austin . Contact: rhgao@umd.edu .
Ravid Shwartz-Ziv is an Assistant Professor and Faculty Fellow at NYU's Center for Data Science, with a dual role as Senior Research Scientist at Wand AI. His research bridges theoretical foundations and practical applications in artificial intelligence, focusing on Large Language Models (LLMs), information theory, and neural network interpretability. Ph.D. in Computational Neuroscience, Hebrew University of Jerusalem (2021) B.Sc. in Computer Science and Computational Biology, Hebrew University of Jerusalem (2014) His research spans: Developing min-p sampling for LLM text generation Preventing representation collapse in Transformers Creating contamination-free LLM benchmarks like LiveBench Advancing information-theoretic frameworks for neural networks Exploring representation learning and model adaptation Recent publications demonstrate expertise in LLM efficiency, self-supervised learning, and multi-agent systems. Notable awards include the Google PhD Fellowship, Moore-Sloan Fellowship, and multiple best paper recognitions. He has led research initiatives at Intel and Google AI, focusing on neural network compression, XGBoost comparisons for tabular data, and innovative benchmarking frameworks.
Yaoqing Yang is an Assistant Professor at the Department of Computer Science, Dartmouth College. He earned his PhD in Electrical and Computer Engineering (ECE) from Carnegie Mellon University (CMU) and completed postdoctoral research at UC Berkeley's RISE Lab. His work focuses on robustness in machine learning systems, spectral analysis of neural networks, and algorithm design for structured data like graphs and point clouds. PhD in ECE, Carnegie Mellon University Postdoc, RISE Lab, UC Berkeley BS in Electrical Engineering, Tsinghua University Research interests include diagnosing and mitigating model failures through heavy-tailed spectral analysis, decision boundary studies, and loss landscape visualization. He develops methods such as AlphaPruning and SharpBalance to enhance large language models and ensemble learning. Recent work spans 2025 publications on spectral evolution of neural networks, agentic AI for science, and LLM safety. Key collaborations include Michael W. Mahoney and other researchers. Burke Research Initiation Award, Dartmouth (2024) DOE grant for scientific foundation models (2024) DARPA grant for AI robustness (2024) He serves as Area Chair at NeurIPS 2025 and ICLR 2026, and has presented at Google Research, Lawrence Berkeley National Laboratory, and leading universities worldwide. His lab at Dartmouth engages in theoretical and applied research, with connections to UC Berkeley's RISE Lab and collaborations across institutions like CMU and Tsinghua University.
Oisin Mac Aodha is a Reader (Associate Professor) in Machine Learning at the School of Informatics, University of Edinburgh. He is also an ELLIS Scholar and founder of the Turing interest group on biodiversity monitoring and forecasting, having previously served as a Turing Fellow from 2021-2025. Mac Aodha completed his undergraduate degree in electronic engineering from the University of Galway in Ireland, followed by his MSc and PhD at University College London (UCL). His academic journey includes postdoctoral positions at UCL (2013-2016) working with Prof. Gabriel Brostow and Prof. Kate Jones, and at Caltech (2016-2019) in Prof. Pietro Perona's Computational Vision Lab as part of the Visipedia team. His research centers on computer vision and machine learning with emphasis on 3D understanding, human-in-the-loop methods, and AI for conservation and biodiversity monitoring. He has made significant contributions to monocular depth estimation (including the influential Monodepth2 paper), fine-grained visual categorization, and biodiversity monitoring systems. His work bridges theoretical machine learning with practical ecological applications, developing tools for species identification, range estimation, and conservation efforts. Recent publications reveal a strong trend toward ecological applications while maintaining fundamental contributions to 3D vision and representation learning. His major scientific achievements include: Turing Fellow (2021-2025) ELLIS Scholar Founder of the Turing interest group on biodiversity monitoring and forecasting Co-organizer of the Fine-Grained Visual Categorization (FGVC) workshop series at major vision conferences Mac Aodha advises multiple PhD students and postdocs working on computer vision for biodiversity monitoring, 3D understanding, and human-in-the-loop learning. His team has developed practical tools like Whombat (an open-source annotation tool for bioacoustics) and contributed to field-deployed biodiversity monitoring systems. He has served as Area Chair for top conferences including NeurIPS, CVPR, ICCV, and ICML, demonstrating his standing in the computer vision community. His research group collaborates extensively with ecologists at University College London, particularly with Prof. Kate Jones' team, bridging machine learning expertise with ecological domain knowledge. The Vision at Edinburgh group he contributes to focuses on developing practical AI tools that address real-world conservation challenges while advancing fundamental computer vision research.
Dr. Martha Sidury Christiansen is a Professor of Applied Linguistics/TESOL at the University of Texas at San Antonio , where she serves in the College of Education and Human Development . She is the Principal Investigator of Project RESPETO , a NSF-funded initiative exploring racial equity in engineering education. Her work spans sociolinguistics, digital literacies, and raciolinguistic analysis, with a focus on transnational multilingual communities. Born in Veracruz, Mexico Ph.D. in Foreign/Second Language Education (Ohio State University, 2013) M.A. in English Composition (Indiana University, 2007) B.A. in English Language Teaching (Universidad Veracruzana, 2002) Her research examines how transnational youth navigate digital spaces through multiliteracies , challenges Western academic writing norms via Mexican decolonial methodologies , and investigates raciolinguistic intersections in identity formation. The 15 most recent publications reveal a strong focus on digital communication , transnationalism , and critical pedagogy across journals like TESOL Quarterly and Language@Internet . 2023-2025: Expanding raciolinguistic frameworks in digital contexts 2021-2022: Analyzing multimodal identity construction 2019-2020: Exploring Mexican bilinguals' online language use She has received multiple honors including ACUE Fellow (2023), Fulbright Scholar (2017), and Faculty Leadership Fellow (2021-2022). Her presentations at conferences like ICOLLITE and DDVM Lab highlight her expertise in critical sociolinguistic awareness and digital discourse analysis . Dr. Christiansen actively consults for nonprofits on linguistic equity and multilingual education .
Dr. Jay Pujara is a Research Associate Professor of Computer Science at the University of Southern California (USC) and Director of the Center on Knowledge Graphs. He is also a Principal Scientist at the Information Sciences Institute (ISI) and leads research teams in data science and AI. Ph.D., University of Maryland, College Park (2016) M.S. and B.S. in Computer Science, Carnegie Mellon University Research Interests include artificial intelligence, probabilistic models, knowledge graph construction, statistical relational learning, NLP, and streaming inference. His work focuses on scalable algorithms for big data and uncertainty modeling in dynamic environments. Recent Publications highlight advancements in knowledge graphs, LLM reasoning, and table understanding. Notable topics include non-verbal abstract reasoning , faithful conversational datasets , and KGQA re-ranking . Scientific Awards : SWSA Ten-Year Award (2023), Outstanding Paper (IUI 2019), Top Reviewer (NeurIPS 2018), Best Paper (SRL Workshop 2016) Advising & Grants : Mentored 12+ graduate students, including Ph.D. advisees on topics like causal modeling and neuro-symbolic tasks. Secured NSF funding for table understanding in paleoclimate studies.
Claire Robins serves as Professor of Museology and Art at University College London's Institute of Education, leading the Art, Design & Museology Academic Group and acting as Department Graduate Tutor for the Department of Culture, Communication and Media. Her work critically bridges art practice, museum studies, and educational theory to advance democratic engagement in cultural institutions. Education: PhD in Museum Education, University of London (2009) Master's degree in Gallery/Museum Education, University of London Bachelor's degree in Fine Art, St Martins School of Art (now University of the Arts London) Research Focus: Robins investigates the intersection of artists' practices with critical pedagogy, emphasizing progressive education and avant-gardist strategies in twentieth-century knowledge production. Her scholarship examines how contextual forces shape learning definitions in museums, with particular attention to materialities, pedagogic forms, and democratic potential within institutional frameworks. This work consistently challenges conventional museum narratives through artist-led interventions. Publication Trends: Her 15 most recent publications (2012-2025) reveal sustained exploration of museology-art education synergies, highlighting pedagogic innovation through artists' interventions, critical assessment frameworks, and democratic museum practices. Key thematic threads include narrative disruption in galleries, sustainability in art education assessment, and the transformative role of fiction in reimagining museum epistemologies. Advising & Leadership: Robins has supervised PhD/EdD students since 2010 and directed the MA Art Education, Culture and Practice program (2011-2023). She currently teaches MA modules in Museums and Galleries in Education and leads the Education and Curation component, while mentoring MA dissertations. Her leadership extends to developing gallery-based short courses with Engage. Professional Engagement: As editorial board member for Arts & Communication and Engage , and active participant in ICOM and NSEAD, Robins shapes global discourse through international keynotes (e.g., Korean Society for Education in the Arts, 2019) and curated seminars like Soft Subjects: Material Practice in Gallery Education (2024). Her review work for Routledge and Intellect Books further demonstrates scholarly stewardship.
Prof. Dr. Helma Wennemers serves as a Full Professor at ETH Zurich's Department of Chemistry and Applied Biosciences, leading the Laboratory for Organic Chemistry. Her research group operates from HCI H 313 at Vladimir Prelog Way 1-5/10 in Zurich, Switzerland, with active teaching responsibilities including Organic Chemistry I and Chemical Biology - Peptides for the Fall 2025 semester. Her research program centers on the intersection of organic chemistry and chemical biology , with particular emphasis on collagen triple helix engineering , peptide-catalyzed asymmetric synthesis , and development of chemical tools for tissue remodeling diagnostics . Key focus areas include designing hyperstable collagen heterotrimers for fibrosis monitoring, creating fluorophore-based probes for collagen cross-linking visualization, and pioneering organocatalytic methodologies for complex heterocycle synthesis. Her group actively explores how hydrophobic modifications and proline derivatives influence collagen stability and cellular uptake mechanisms. Analysis of her 15 most recent publications (2024-2025) reveals three dominant research trajectories: (1) collagen structural engineering for biomedical applications, (2) innovative peptide/organocatalysis enabling stereoselective transformations, and (3) chemical probe development targeting tissue remodeling processes. These works consistently integrate synthetic chemistry with biological validation, demonstrating translational potential in fibrosis diagnostics and regenerative medicine. While specific grant details aren't provided in available sources, her research program clearly supports advanced laboratory infrastructure including peptide synthesis facilities and photochemical reaction systems like the ETHos photoreactor. Her group maintains strong industry and clinical collaborations evident in applications targeting liver cancer cells and prostate cancer diagnostics. The Laboratory for Organic Chemistry functions as an interdisciplinary hub where synthetic organic chemists collaborate with biologists to develop collagen-based diagnostic platforms and catalytic systems. Current projects focus on lysyl oxidase-responsive probes for real-time tissue monitoring and engineered peptide catalysts for sustainable chemical synthesis under environmentally relevant conditions.
Adam de la Zerda is an Associate Professor at Stanford University's Department of Structural Biology (School of Medicine) and Electrical Engineering (by courtesy). He develops advanced optical molecular imaging technologies combining nanoparticle contrast agents and adaptive OCT systems for cancer and ophthalmic disease research. Technion-Israel Institute of Technology (BSc, 2005) Stanford University (PhD, 2011) UC Berkeley (Postdoctoral Fellowship) Research Themes : Virtual biopsy using machine learning-enhanced OCT Gold nanorod-based molecular contrast agents Speckle noise reduction for cellular resolution Needle beam optical coherence tomography angiography His 15 most recent publications demonstrate technical innovations in: Metasurface optics for extended depth-of-field Spectral deconvolution of multiple contrast agents Speckle modulation for improved diagnostic clarity Noninvasive lymphatic system mapping Scientific Honors : Pew-Stewart Scholar for Cancer Research AFOSR Young Investigator NIH Early Independence Award Forbes 30 Under 30 (x2) Chan Zuckerberg BioHub Investigator His lab team has developed clinical prototypes including OcuBell Inc. 's ophthalmic imaging systems and Visby Medical 's diagnostic platforms. Current research spans from in vivo glycoprotein imaging to de novo biosensor development for real-time disease monitoring in awake animal models.
Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.
