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Henrik HolbechView profile

Associate Professor

• Ecotoxicology
• Endocrine Disruptors
• OECD Test Guidelines
• +2 more

Henrik Holbech is an Associate Professor in Ecotoxicology at the University of Southern Denmark 's Department of Biology. With over 124 research outputs, his work focuses on developing OECD test guidelines for identifying endocrine disrupting chemicals (EDCs) using fish and invertebrate models, particularly Danio rerio (zebrafish). He coordinates the EU Horizon 2020 ERGO project (€5.99M) and leads multiple Nordic Council-funded initiatives on mollusc endocrinology. As chair of the OECD Mollusc Expert Group and member of the ECHA Endocrine Disrupter Expert Group , he bridges human health and environmental toxicology through adverse outcome pathway (AOP) research. Research Contributions: Developed and validated Fish Sexual Development Test (FSDT) protocols (OECD TG 230/210/229) Pioneered mollusc-based EDC testing for aquatic invertebrates Lead author of OECD validation reports Contributor to 40+ international technical meetings Created ELISA methods for vitellogenin detection in fish Investigated ballast water treatment technologies (UV/cavitation/ozonation) Explored thyroid hormone disruption mechanisms in aquatic species Collaboration Network: Active in EU Tender projects with University of Heidelberg, University of Antwerp; Nordic Council partnerships (NordUTTE) with Norway/Sweden; Danish EPA collaborations (5.2 Mio DKK total). Key institutions: DHI Hoersholm, Fraunhofer, University of Antwerp.

Carrie McDonoughView profile

Associate Professor

• Environmental Analytical Chemistry
• Per- and Polyfluoroalkyl Substances (PFAS)
• Bioavailability and Bioaccumulation
• +3 more

Carrie McDonough is an Associate Professor in the Department of Chemistry at Carnegie Mellon University. Her research focuses on environmental analytical chemistry, PFAS contamination, bioavailability, bioaccumulation, and toxicology, using high-resolution mass spectrometry and bioanalytical methods to assess risks of organic pollutants to aquatic ecosystems and human health. 2017–2019 Postdoctoral Fellow, Colorado School of Mines 2017 Ph.D. in Chemical Oceanography, University of Rhode Island Graduate School of Oceanography 2008 B.Sc. in Chemistry, Massachusetts Institute of Technology Her work develops bioaccumulation-directed prioritization tools for ionizable organics, virtual organisms for contaminant isolation, and in vitro techniques to study PFAS transformation. Current projects include evaluating sediment-associated PFAS bioavailability in marine organisms and short-chain PFAS in human urine (CDC NIOSH-funded). Recent publications highlight PFAS isomer differentiation , electron beam remediation , and human exposure via seafood . Her team has identified previously undetected bioaccumulative PFAS in AFFF-dosed mice and developed interactive software for PFAS analysis . 2025 Emerging Investigator Series, Environ. Sci.: Processes & Impacts Postdoctoral Fellow, Colorado School of Mines She mentors 8 graduate/undergraduate students and has trained 5 alumni now in academia, EPA, and public health. Her lab collaborates on SERDP ER22-4003 (marine PFAS) and CDC NIOSH grants. Personal interests include brewing beer and spending time with her dogs, Millie and Pickles.

Rowan DorinView profile

Associate Professor

• Medieval History
• Legal History
• Economic History
• +3 more

Rowan Dorin is an Associate Professor of History at Stanford University, specializing in Western Europe and the Mediterranean during the High and Late Middle Ages. His research focuses on the interplay between law and society, particularly where legal norms conflict with social practices, and the history of economic life and thought, including medieval debates on usury and moneylending. Ph.D., Harvard University (2015) M.Phil., University of Cambridge (2009) AB (Hon.), Harvard College (2007) Dorin's work bridges legal history and economic history, examining phenomena like mass expulsion of moneylenders, the local adaptation of canon law, and the circulation of goods and ideas in the medieval Mediterranean. His prize-winning project Corpus Synodalium (2016–present) digitizes late medieval ecclesiastical legislation, offering tools for global interdisciplinary research. His publications span books, book chapters, and journal articles, with recurring themes of legal pluralism, economic marginalization, and the practical implementation of medieval laws. Dorin's research has been recognized by the American Society for Legal History through the 2022 Mary L. Dudziak Prize. 2022 Mary L. Dudziak Digital Legal History Prize At Stanford, Dorin teaches courses on medieval history, legal history, and economic thought, including Citizenship in the 21st Century and Research Seminar for Majors . He advises doctoral students and serves as Director of the Center for Medieval and Early Modern Studies (2023–present). His collaborations include the Fondazione per le scienze religiose in Bologna (2022–present).

Michael C TinklerView profile

Associate Professor

• Medieval Art and Architecture
• Early Medieval Europe
• Carolingian Art
• +10 more

Michael C. Tinkler is an Associate Professor of Art and Architecture and Chair of European Studies at Hobart and William Smith Colleges, where he has been a faculty member since 1999. He holds a Ph.D. from Emory University and a B.A. from Rice University. His academic home is in the Department of Art and Architecture within the College of Arts and Sciences, where he teaches a wide range of courses spanning from ancient to modern art, with a special focus on the medieval period. Education: Ph.D., Emory University B.A., Rice University His research centers on eighth- to tenth-century Europe, particularly the art and architecture of the Carolingian court, with sustained attention to inscriptions, the interplay between words and images, and sites such as the mosaics of Santa Prassede in Rome. He also investigates medieval badges, pilgrimage culture, Gothic Revival architecture in American colleges, and humor in the Middle Ages. His pedagogical interests include interdisciplinary teaching and the use of digital tools in art history education. The trends in his scholarly articles reflect a deep engagement with material culture, epigraphy, and visual rhetoric of the early medieval period. His work often bridges art history, literature, and religious studies, focusing on how symbols function in both sacred and secular contexts. Recurring themes include authority, literacy, devotion, and the body in medieval art. Michael Tinkler has presented widely at international conferences such as the International Congress on Medieval Studies in Kalamazoo and has organized sessions on medieval humor and pedagogy. He has directed the Rome study-abroad program and collaborates with colleagues on interdisciplinary courses, particularly with Professor Laurence Erussard in English. He maintains digital resources for students, including image databases and virtual bookshelves, and is active in developing teaching tools for medieval studies. Current Research and Projects Include: Early medieval inscriptions and word-image-space interactions Analysis of the mosaics of Santa Prassede, Rome Study of medieval badges, including pilgrimage and carnival badges Investigation of Gothic Revival architecture at Hobart and William Smith Colleges Pedagogical innovations in teaching medieval humor and interdisciplinary humanities Collaborative digital scholarship and online teaching resources

Olga WitczakView profile

Assistant Professor

• Translation Studies
• Translation Process Research
• Post-editing of Machine Translation
• +7 more

Dr. Olga Witczak is an Assistant Professor at the Faculty of English, Adam Mickiewicz University in Poznań, where she conducts research and teaches in translation studies, with a focus on cognitive and technological aspects of translation. She holds a Ph.D. in English Linguistics and specializes in post-editing of machine translation, computer-assisted translation, and eye-tracking methodologies. Her educational background includes: B.A. in English, Poznań, 2013 M.A. in English (European Master's in Translation), Poznań, 2015 Ph.D. in English Linguistics, Poznań, 2021 Dr. Witczak's research centers on the cognitive processes involved in translation, particularly in post-editing environments. She investigates how translators interact with machine translation outputs, use external resources, and manage cognitive effort. Her work employs empirical methods such as eye-tracking, key-logging, and screen recording to analyze translation processes. She is particularly interested in information-seeking behavior, productivity in post-editing versus translation from scratch, and student attitudes toward machine translation. The trends in her recent publications reveal a strong interdisciplinary approach combining translation studies, cognitive science, and human-computer interaction. Her research consistently focuses on empirical analysis of translation processes, with an emphasis on Polish-English language pairs and the use of digital tools. Key themes include cognitive load, technological integration in translation, and pedagogical implications for training future translators. She has received several academic honors, including: Adam Mickiewicz University Vice-Chancellor's scholarship for outstanding PhD students (2017/2018, 2018/2019) Adam Mickiewicz University Vice-Chancellor's scholarship for the 30% best PhD students (2016/2017, 2017/2018, 2018/2019) Adam Mickiewicz University Rector’s scholarship for academic achievements (2017, 2019) Dr. Witczak is actively involved in research projects funded by the National Science Centre and the Polish National Agency for Academic Exchange. She serves as Principal Investigator on a project exploring boredom as a modulator of creativity in translation tasks. She supervises student research and has organized academic conferences such as the Young Linguists’ Meeting in Poznań. She also contributes to professional development through workshops on eye-tracking, E-Prime, and audiovisual translation. She is a member of academic and professional organizations including the Konsorcjum do Badań nad Edukacją Tłumaczy and the Stowarzyszenie Społeczności LGBT+ UAM, reflecting her commitment to both scholarly excellence and inclusive academic communities.

Laura RobertsView profile

Academic

• Community Engagement
• Project-Based Learning
• Qualitative Research Methods
• +8 more

Laura Roberts is an Assistant Teaching Professor in the Integrative and Global Studies department at Worcester Polytechnic Institute (WPI), within The Global School. She also serves as Director of the Worcester Community Project Center (WCPC), one of over 50 WPI project centers worldwide, where students conduct community-based research at the intersection of society and technology. BS, University of Connecticut – Social Policy and Human Development MPA, Seton Hall University – Nonprofit Management MEd, Eastern Nazarene College Her research and teaching focus on community engagement, project-based learning, food security, health equity, and qualitative research methods. She emphasizes practical, field-based learning and brings extensive nonprofit experience to her pedagogy. Roberts is a strong advocate for integrating social impact into STEM education. Her recent scholarly work centers on innovative teaching tools, particularly the use of AI in academic research and writing, and playful pedagogy for qualitative methods. She co-hosts the podcast Methods to our Madness , and has published and presented widely on AI literacy and educational innovation. President's IQP Award Honorable Mention (2020) Campus Compact Engaged Scholar (2023) Teaching Innovation Grant (2024) Center for Project Based Learning Faculty Fellow (2024) Morgan Center Professional Learning Community on Generative AI (2024–2025) Laura Roberts advises numerous student projects through WPI’s Interactive Qualifying Program and serves as faculty advisor for the WPI Food Recovery Network. She is actively involved in community initiatives, including refugee resettlement and the United Way Women's Initiative. Her work fosters strong university-community partnerships aimed at addressing local and global challenges.

• Digital Signal Processing
• Biomedical Engineering
• Audio Processing
• +7 more

Rafik Goubran is a Professor in the Department of Systems and Computer Engineering at the Faculty of Engineering and Design, Carleton University. He holds the distinguished title of Chancellor’s Professor and currently serves as the Vice-President (Research and International). He earned his Ph.D. from Carleton University and is a licensed Professional Engineer (P.Eng.). His research expertise spans digital signal processing, biomedical engineering, audio processing, and the development of smart environments for senior independent living, with applications in patient monitoring, sensor systems, and real-time analytics. Dr. Goubran's recent publications highlight a strong focus on applying machine learning and sensor technologies to healthcare challenges, particularly in gerontechnology. His work involves non-invasive monitoring of sleep apnea, cognitive decline, driving behavior in older adults, and ambient health monitoring using smart homes and IoT systems. He explores innovative methods such as using pressure mats, audio analysis, and video magnification for vital sign detection and behavioral assessment. Life Fellow, IEEE Fellow, Canadian Academy of Engineering (CAE) Chancellor’s Professor, Carleton University Dr. Goubran has co-supervised 24 Ph.D. and 72 Master’s students and has secured significant research funding from NSERC, CIHR, NCE, and OCE for projects related to aging, health monitoring, and smart technologies. He is the co-leader of the TAFETA project and was the founding Director of the Ottawa-Carleton Institute for Biomedical Engineering. His work involves extensive collaboration with institutions like the Bruyère Research Institute and industry partners such as QNX and BlackBerry. He leads a research lab focused on technology-assisted environments, developing systems for patient monitoring, fall detection, and cognitive assessment, contributing significantly to the field of assistive and ambient intelligence for healthcare.

Luigi PalopoliView profile

Professor

• Hybrid Systems
• Real-Time Scheduling
• Quality of Service Control
• +12 more

Luigi Palopoli is a Full Professor and Director at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy. He is also a member of the University Council. His research spans hybrid systems, real-time scheduling, quality of service control, robotics, embedded systems, and cyber-physical systems. His research interests include: Hybrid Systems and Real-Time Scheduling Service and Assistive Robotics for Elderly Support AI Applications in Robotics and Embedded Systems Outlier Detection and Anomaly Explanation Audio Super-Resolution and Signal Processing Biological Network Analysis and Graph Alignment His recent publications reflect a strong interdisciplinary focus, combining AI, robotics, real-time systems, and bioinformatics. Trends show increasing work in explainable AI, assistive technologies, and multimodal learning (e.g., vision transformers for audio). He has made notable contributions to robotic navigation for the elderly, real-time embedded systems, and logic-based outlier detection. Scientific awards include: Outstanding Paper Award at RTAS 2017 He advises students and collaborates widely, especially with Daniele Fontanelli, Luca Abeni, and other researchers in robotics and AI. He maintains an active research group, evidenced by a dedicated YouTube channel for the Embedded Intelligence and Robotic Systems group. He is involved in teaching, including courses on Robot Planning and Real-Time Operating Systems, and participates in AI seminar series. There is no indication of retirement or former status; he is actively engaged in research, teaching, and academic service.

• German Studies
• Austrian Literature
• Literary Networks
• +6 more

Wolfgang Straub is a part-time lecturer and researcher in German Studies, currently affiliated with the University of Vienna and the University of Salzburg. He holds a PhD and Master’s in German Studies from the University of Vienna and has held project leadership and research positions at Alpen-Adria-Universität Klagenfurt, Danube University Krems, and the University of Vienna. His academic work centers on Austrian literature, intermediality, and digital humanities. PhD in German Studies, University of Vienna (2001) Mag. in German Studies, University of Vienna (1991) His research interests include Austrian post-war literature, digital scholarly editions, intermediality, and literary networks. He is particularly known for his work on Werner Kofler, Hans Weigel, and Elisabeth Löcker. His work bridges traditional literary scholarship with digital innovation, especially in annotated and multimedia editions. The most recent publications reflect a strong focus on annotated editions, intermedial analysis (especially between literature, music, and radio), and the role of key cultural mediators in post-war Austria. His scholarly output combines monographs, journal articles, and digital interactive resources, showing a clear trajectory toward digital and collaborative humanities. Wolfgang Straub has not received any explicitly mentioned scientific awards in the provided text. He has led multiple externally funded research projects, primarily through the Austrian Science Fund (FWF), including the annotated complete works of Werner Kofler and studies on remigration and literary networks. While no formal advisees are listed, his collaborative projects involve significant team-based research. He contributes extensively as an editor, writer, and project leader. He leads the Forschungsplattform Werner Kofler and has been involved in creating digital research environments and interactive editions, particularly through FWF-funded projects. His work often involves interdisciplinary teams focused on digital publishing, textual scholarship, and literary history.

Xuqing WuView profile

Associate Professor

• Machine Learning Applications in Geophysics
• Electromagnetic Inversion
• Seismic Data Processing
• +6 more

Xuqing Wu is an Associate Professor at the University of Houston , affiliated with the College of Technology and the Department of Information Science Technology . He leads research at the MODAL Lab , focusing on machine learning applications in geophysical inversion, electromagnetic modeling, and subsurface characterization. Office: 230E College of Technology Building, Sugar Land Office: BH2 315 Contact: Phone 713-743-0258 | Fax 713-743-4032 Teaching: Courses include CIS 3365 - Database Management and CIS 6397 - Selected Topics His research spans physics-informed deep learning , transformer architectures , and multi-physics joint inversion , with applications in CO2 monitoring , mineral exploration , and solid-state battery materials . Recent work emphasizes self-supervised seismic data enhancement and real-time geosteering processing through FPGA acceleration. Key publication trends show expertise in electromagnetic telemetry , hyperspectral imaging for methane emissions, and stochastic optimization for sensor placement. He frequently employs polynomial chaos expansion , Markov Chain Monte Carlo methods, and collaborative view synchronization .

• Pharmaceutical Chemistry
• Environmental Toxicology
• Bioremediation
• +3 more

Svetlana Fotkova Georgieva is an Associate Professor and Dean of the Faculty of Pharmacy at the Medical University of Varna. She holds a PhD in Pharmaceutical Chemistry and has been actively involved in academic and administrative roles since 2008. Bachelor of Biotechnology - Prof. Dr. Asen Zlatarov University, Burgas (2003) Master of Biotechnology - Prof. Dr. Asen Zlatarov University, Burgas (2006) Master of Organic Chemistry - Bishop Konstantin Preslavski University of Shumen Master of Pharmacy - Medical University of Varna (2022) Specialty in 'Analysis of Medicinal Products' - Medical University of Sofia (2019) Her research focuses on pharmaceutical chemistry , with significant contributions to estrogenic activity prediction , toxic effects of organic compounds , and environmental risk assessment . She has pioneered work in bioremediation technologies using immobilized enzymes and developed databases for pharmaceutical reactivity analysis. The listed publications highlight her expertise in bioremediation (2008–2010), endocrine disruptor analysis (2012–2013), and pharmaceutical environmental impact (2018). Key trends include enzyme-based pollution mitigation, computational modeling of drug reactivity, and risk evaluation for novel pharmaceutical compounds. She has authored multiple textbooks and study aids for pharmacy students, including Pharmaceutical Analysis – Practical Exercises (2019–2020). Her institutional affiliations include the Bulgarian Scientific Society of Pharmacy (BSSP) and the Bulgarian Pharmaceutical Union (BPhU).

David E. RobbinsView profile

Associate Professor

• Healthcare Informatics
• Biospecimen Informatics
• Data Science
• +7 more

David E. Robbins is an Associate Professor and Program Director of the Master of Health Informatics and Analytics at Samford University, affiliated with the School of Public Health and the Department of Healthcare Administration and Informatics. He holds a PhD and MSEE in computer engineering from the University of Alabama at Birmingham and a BS in computer engineering from LeTourneau University. His research focuses on healthcare informatics, biospecimen informatics, data science, and machine learning, with a strong emphasis on applying software engineering and semantic web technologies to biomedical data challenges. He has developed tools for cancer genomics analysis and digital biorepositories, contributing significantly to translational research infrastructure. His recent publications demonstrate a consistent trend in leveraging big data and web-based frameworks for cancer genomics, biospecimen collaboration, and innovative applications of virtual reality in healthcare empathy training. These works reflect interdisciplinary efforts at the intersection of computer science, public health, and clinical research. Scientific Awards: Seng-jaw Soong Award for Excellence in Biostatistics and Bioinformatics Research (2013) Outstanding Service to the Society for Design and Process Science (2012) Outstanding Graduate Student Engineer of the Year (2010-2011) Dr. Robbins has served as a key contributor in developing national-level informatics tools and frameworks. While no formal advisees are listed, his role as Program Director indicates leadership in graduate education. He has not disclosed grant funding or lab affiliations in the provided text. He is actively involved in professional societies and has presented at major conferences such as Translational Science and BCB. His work supports collaborative, data-driven advancements in public health and biomedical research.

Prateek JainView profile

Lecturer

• Knowledge Graphs
• Natural Language Processing
• Machine Learning
• +6 more

Prateek Jain is a Lecturer at the School of Information, San José State University, where he teaches courses in Big Data Analytics and Python programming. He holds a Ph.D. in Computer Science and Engineering from Wright State University and has over a decade of industrial experience in data science and artificial intelligence at leading institutions such as IBM T.J. Watson Research Center, Nuance Research Labs, and Liveperson. His research interests include Knowledge Graphs, Natural Language Processing, Machine Learning, and Big Data, with over 30 peer-reviewed publications and patents in these areas. His academic and professional background bridges advanced research and practical deployment of AI-driven systems. Ph.D. (Computer Science and Engineering), Wright State University (2007–2012) Ph.D. (Computer Science), University of Georgia (2006–2007, transferred) BS (Information and Communication Technology), Dhirubhai Ambani Institute of ICT (2002–2006) Prateek's research publications focus on the development and application of Knowledge Graphs, particularly in areas like NLP, enterprise search, healthcare, and financial services. His work emphasizes scalable, explainable, and practical AI solutions, with recurring themes in graph embeddings, semantic reasoning, and large-scale data integration. He has served as an Adjunct Instructor at Chabot College and Northwestern Polytechnic University, and currently contributes to academic instruction at SJSU while maintaining an active role in industry as Principal Data Scientist at Liveperson. His industrial roles have spanned: Principal Data Scientist, Knowledge Graphs – Liveperson Inc. (2021–Present) Engineering Manager, Machine Learning – AppZen Inc. (2018–2021) Principal Research Engineer – Nuance Inc. (2016–2018) VP/Data Scientist – BlackRock Inc. (2015–2016) Data Scientist – Ignition One (2015) Research Staff Member – IBM T.J. Watson Research Center (2012–2015) There are no listed scientific awards or advisees in the provided information.

• RNA Processing
• Alternative Splicing
• Gene Expression Regulation
• +5 more

Sherif Abou Elela is a researcher affiliated with the University of Sherbrooke and its Centre de recherche du CHUS . His work focuses on RNA processing, stability, and alternative splicing, with implications in cancer biology and gene expression regulation. Education: Postdoctorate, University of California, Santa Cruz (1997) PhD in Biology, University of Guelph (1994) BSc, University of Qatar (1987) Research Interests: RNA processing and stability in gene expression, splicing program modulation in cancer and stress, snoRNA biology, yeast RNA metabolism, and RNA-binding proteins. He explores how RNA decay and splicing mechanisms can inform mammalian models and human disease diagnostics. Article Trends: Recent work emphasizes snoRNA annotation tools (e.g., SnoBIRD), stress-induced splicing adaptations (cells resist starvation), yeast RNase III roles in gene regulation, and cancer-specific non-coding RNA interactions (e.g., H/ACA snoRNAs). Computational approaches (snoDB, SAPFIR, snoGloBe) and yeast as a model organism are recurring themes. Patents & Contributions: He holds patents for methods to reprogram splice site selection and cancer biomarker discovery. He organized the Ribo Club conference, indicating leadership in RNA research.

• Audio and Speech Processing
• Signal Processing
• Image Processing
• +3 more

Serkan KESER is an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering and Architecture, Ahi Evran University, Turkey. He has been serving as a full-time faculty member since 2018 and previously served as Head of Department from 2018-2021. His educational background includes a PhD in Electrical and Electronics Engineering from Eskişehir Osmangazi University (2009-2018), a Master's degree in the same field from the same institution (2005-2008), and a Bachelor's degree in Electrical and Electronics Engineering from Mustafa Kemal University (1999-2005). Dr. KESER's research focuses on three main areas: Audio and Speech Processing : Including speaker identification, isolated word recognition, and speech coding techniques Signal Processing : With applications in fiber optic sensor systems and acoustic positioning Image Processing : Covering face recognition, image compression, and denoising techniques His recent publications demonstrate a strong trend toward integrating machine learning and deep learning approaches with traditional signal processing methods. He has made significant contributions in applying subspace methods to various domains including speech recognition, image processing, and sensor technologies. His work often bridges theoretical signal processing concepts with practical applications in areas like smart home systems, medical imaging, and environmental monitoring. Dr. KESER has successfully supervised five Master's students to completion, with thesis topics spanning deep learning applications for class attendance systems, photovoltaic systems, speaker identification, brain tumor classification, and speech-controlled robotic arms. He has led four research projects, including development of fiber optic motion sensors, smart home models using Arduino microcontrollers, and science outreach initiatives. His teaching portfolio includes advanced courses in digital image processing, artificial neural networks, digital signal processing, and machine learning at both undergraduate and graduate levels. Dr. KESER's research impact is reflected in his publication metrics: 30 total publications with 117 citations (h-index 5) through the UNIS system, 25 publications with 180 citations (h-index 6) on Google Scholar, and strong representation in Scopus and Web of Science databases.