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Ann FekeView profile

Assistant Professor

Otterbein UniversityUnited States

Ann Feke serves as an Assistant Professor in the Department of Biology & Earth Science at Otterbein University, where she contributes to interdisciplinary research bridging biological and geological sciences. Her academic foundation includes advanced degrees from prestigious institutions, positioning her at the forefront of environmental studies. Education Ph.D., Yale University, 2019 M.S., Yale University, 2015 B.A., Princeton University, 2013 Her research spans critical areas including ecosystem dynamics, geological history, and environmental change. With expertise in both biological systems and earth sciences, she investigates complex interactions between living organisms and planetary processes, particularly focusing on long-term ecological patterns and sustainability challenges. This dual-disciplinary approach enables comprehensive analysis of environmental phenomena across temporal and spatial scales. Scientific Awards No scientific awards were explicitly documented in the source material. Advising and Grants While specific student mentorship details and grant funding information were not provided in the available documentation, her academic position suggests active involvement in guiding undergraduate research within Otterbein's biology and earth science programs. As a junior faculty member, she likely participates in securing research funding through university channels and external scientific organizations. Laboratory and Research Groups Although specific laboratory affiliations weren't detailed, her departmental placement indicates potential involvement with Otterbein's environmental research facilities and field study programs focused on local ecosystems and geological formations.

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Luke MooreView profile

Assistant Professor

Boston UniversityUnited States

Luke Moore is a Research Assistant Professor of Astronomy at Boston University's Department of Astronomy, with office CAS 402. His research focuses on planetary atmospheres and their interactions with the space environment, particularly the upper atmospheres of giant planets. He is affiliated with the Center for Space Physics at Boston University. Moore earned his BS from the University of Arizona and completed his MA and Ph.D. at Boston University. His academic background has positioned him as a leading researcher in planetary atmospheric science, with expertise spanning observational techniques, computational modeling, and instrument development. Moore's primary research interests include: Modeling and observations of planetary atmospheres, with emphasis on giant planets Upper atmospheric processes and their coupling with the space environment Development and application of computer models for tenuous plasmas in planetary upper atmospheres Ground-based and space-based observational techniques for planetary science H3+ ionosphere studies across multiple planets Ring-planet interactions, particularly Saturn's ring rain phenomenon His extensive publication record demonstrates significant contributions to understanding planetary atmospheres throughout the solar system. Recent work shows a strong focus on Jupiter and Saturn using data from Juno and Cassini missions, with emerging research on Uranus and Neptune utilizing JWST observations. A key research trend involves the connection between ring systems and planetary atmospheres, as well as the role of auroral processes in heating upper atmospheres across the giant planets. Moore is actively involved in instrument development as a key contributor to the Rapid Imaging Planetary Spectrograph (RIPS). This innovative instrument enables high-quality simultaneous spectra and images of extended objects through 'lucky imaging' techniques. RIPS has been successfully deployed at multiple observatories including the Perkins telescope in Flagstaff, Arizona and the 3.67m AEOS telescope, where it has been used to study Mercury's exosphere, the Moon, and Jupiter's moons. His instrument work represents an important bridge between theoretical modeling and observational planetary science.

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Pascal HitzlerView profile

Professor

Dresden University of TechnologyGermany

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

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Martin BicherView profile

Researcher

Vienna University of TechnologyAustria

Martin Bicher is a PostDoc Researcher at TU Wien, affiliated with the Department of Data Science under the Faculty of Informatics. He specializes in agent-based simulation, epidemiological modeling, and decision support systems for public health crises. His work focuses on optimizing resource allocation, vaccination strategies, and policy evaluation during pandemics. He teaches courses such as Modeling and Simulation (194.076), Modelling and Simulation in Health Technology Assessment (194.094), and Advanced Modeling and Simulation (194.056). His research is supported by projects like DynOptTestControl (2022–2026) and KLIPHA-COVID19 (2020–2021). Key research interests include agent-based modeling frameworks, integration of machine learning into simulation systems, and multi-criteria decision support for public health interventions. His publications analyze pandemic response strategies, vaccination prioritization, and the impact of environmental factors on disease spread. Recent work includes developing mathematical models for equitable disease testing, simulating vaccination strategies under supply uncertainties, and evaluating contact-tracing policies. He collaborates with interdisciplinary teams to address challenges in healthcare resource optimization and policy design. Advising two students, Bicher has mentored theses on railway simulation and delay modeling. His contributions to pandemic decision support have been featured in high-impact journals like Omega and PLoS ONE.

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Yannis TheodoridisView profile

Professor

University of PiraeusGreece

Yannis Theodoridis is a Professor at the Department of Informatics, University of Piraeus, leading the Information Systems Laboratory (InfoLab). He specializes in spatiotemporal databases, mobility analytics, and maritime data science. His research focuses on trajectory analysis, location-based services, and big data frameworks for transportation and maritime surveillance. Key projects include the MOD (Moving Objects Databases) initiative, the ARGOS framework for real-time trajectory prediction, and contributions to the HERMES trajectory database engine. He has advised 7 PhD students and co-authored numerous papers in IEEE and ACM venues. His work addresses challenges like vessel collision risk assessment, urban mobility optimization, and maritime event detection. He serves on the editorial board of the International Journal of Data Warehousing and Mining and contributes to conferences like PCI and ECML PKDD. His labs emphasize interdisciplinary approaches to mobility data science, integrating machine learning with domain-specific analytics.

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Noémie JeanninView profile

Researcher

Swiss Federal Institute of Technology in LausanneSwitzerland

Noémie Jeannin is a doctoral assistant and PhD student at École polytechnique fédérale de Lausanne (EPFL), affiliated with the Laboratory of Photovoltaics and Thin Films (PV-LAB) within the School of Engineering and the Institute of Microengineering. She is a member of the Energy Doctoral Program (EDOC-EDEY) and serves as the doctoral student representative, contributing to academic governance. Her work is centered on sustainable energy systems, particularly the integration of renewable energy and transportation electrification. Her research focuses on the coupling of photovoltaic (PV) energy production with electric vehicle (EV) charging, using advanced geospatial modeling to quantify energy demand and mobility habits across Europe. She develops methodologies to assess charging flexibility and infrastructure needs, contributing to the European OPENGIS4ET project and the development of the Citiwatts open-source platform for energy transition planning. Her work spans disciplines including energy systems, smart grids, GIS, and sustainable urban mobility. The trends in her publications reveal a strong emphasis on spatial and temporal modeling of energy demand, policy-relevant analysis of electricity tariffs, and innovative solutions for grid integration of distributed energy resources. Her recent articles highlight practical applications in urban energy planning, EV charging behavior, and cost-effective alternatives to grid upgrades. Noémie is actively involved in teaching as an assistant for the course 'Energy Supply Economics and Transition (ENG-410)' and participates in academic service through her representative role. She collaborates with researchers such as A. Pena-Bello, C. Ballif, and N. Wyrsch, and her work is supported by European and institutional research initiatives. She maintains professional profiles on ORCID, Google Scholar, and LinkedIn, and her primary contact is via email at noemie.jeannin@epfl.ch. Her office is located at MC A2 208, EPFL.

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Jack ChenView profile

Professor

University of VirginiaUnited States

Jack Chen is a Professor of Chinese Literature and Department Chair at the University of Virginia's Department of East Asian Languages, Literatures and Cultures, with additional affiliation to the Institute of the Humanities and Global Cultures. His office is located in Wilson Hall, where he holds weekly office hours. Previously, he taught at UCLA and Wellesley College. Education BA in Literature, Yale University MA in Comparative Literature, University of Michigan PhD in Comparative Literature, Harvard University Research Focus Chen specializes in classical and medieval Chinese literature (100-900 CE), particularly the Tang Dynasty. His interdisciplinary work bridges traditional literary analysis with computational methods, exploring: The history of information management in imperial China Gossip and anecdote as cultural artifacts Digital humanities approaches to East Asian texts Ghost poetry and supernatural narratives Current projects include developing computational tools for classical Chinese corpora and studying early medieval anecdotal collections. Publication Trends Recent articles (2022-2024) demonstrate three key themes: 1) Integration of digital humanities with classical Chinese textual analysis, 2) Re-examination of literary history through spatial/temporal frameworks, and 3) Genre studies of Tang Dynasty narratives like Chuanqi tales. Computational methods feature prominently across publications. Professional Activities No awards, grants, or supervised students are mentioned in available sources. His departmental leadership includes curriculum development for Chinese Language & Literature and East Asian Studies programs.

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Christian TimmererView profile

Professor

University of KlagenfurtAustria

Christian Timmerer is a Professor at the Institute of Information Technology, Alpen-Adria-Universität Klagenfurt. His research focuses on adaptive video streaming , energy efficiency , MPEG standardization , and quality of experience (QoE) , with significant contributions to HTTP Adaptive Streaming (HAS), multi-codec optimization, and immersive media systems. Email: christian.timmerer@aau.at Office Hours: Monday 3:00-4:00 PM (by appointment) Projects: CD-Labor ATHENA, GAIA, SPIRIT His research integrates machine learning and generative AI to enhance video encoding, super-resolution, and voice dubbing, while prioritizing sustainability through energy-aware algorithms and open-source tools like GREEM and VEED. Current work emphasizes latency reduction and dynamic bitrate adaptation in live streaming environments. Recent publications address VVC optimization , multi-resolution encoding , and perceptual quality modeling , reflecting interdisciplinary efforts in networking , computer vision , and human-computer interaction . Awards include leading funded projects on adaptive streaming and green video systems.

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Yun ZhangView profile

Professor

University of New BrunswickCanada

Dr. Yun Zhang is a Professor and Canada Research Chair in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick. He holds a PhD from the Free University of Berlin and has pioneered research in remote sensing, image processing, and computer vision since 2000. His patented technologies are licensed to global companies including PCI Geomatics and DigitalGlobe. Research Focus: Optical/radar image processing, digital photogrammetry, AI applications in geomatics, and sensor fusion for UAV systems. His work enables advanced geospatial analysis across environmental, urban, and defense sectors. Distinctions: First Giuseppe Inghilleri Award (ISPRS 2012) NSERC Synergy Innovation Award from Governor General of Canada (2011) ASPRS Talbert Abrams Grand Award (2005) Featured in CFI 20th Anniversary Book for breakthrough innovations Technology Impact: Solutions deployed by NASA, USGS, Google Earth, and DND Canada across five continents. Recognized among top 9 Canadian research achievements in AUTM's global case studies alongside MIT and Stanford innovations.

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Anton BekkermanView profile

Professor

University of New HampshireUnited States

Anton Bekkerman is a Professor in the Department of Agriculture, Nutrition, and Food Systems at the University of New Hampshire, serving as Associate Dean for Research and Director of the New Hampshire Agricultural Experiment Station. He holds a Ph.D. and M.S. in Economics from North Carolina State University and a B.B.A. from Loyola University Maryland. His research spans agricultural marketing, price forecasting, policy analysis, and risk management, with specific expertise in: Commodity price dynamics (grain and fertilizer markets) Agricultural insurance and policy design Farm decision-making and risk analysis Spatial economic modeling Recent publications examine quality-based wheat pricing, biofuel policy impacts on fertilizer markets, crop insurance distributions, and economic dimensions of pest management. His work integrates economic theory with empirical analysis of agricultural systems. Dr. Bekkerman leads research initiatives addressing agricultural sustainability and economic resilience in changing climates.

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Bithin DattaView profile

Senior Lecturer

James Cook UniversityAustralia

Bithin Datta is a Senior Lecturer in the Discipline of Civil Engineering at James Cook University (Australia), part of the College of Science and Engineering and the Division of Tropical Environments and Societies. He is affiliated with TropWATER (Centre for Tropical Waters and Aquatic Ecosystem Research), the Economic Geology Research Unit (EGRU) at JCU, and the CRC-for Contamination Assessment and Remediation of the Environment (CRC-CARE) at the University of Newcastle. Previously, he held Professor and Senior Professor positions at IIT Kanpur, India (1995-2009), and served as Head of the Civil Engineering Department and Head of the Postgraduate Environmental Engineering and Management Program. He has held Visiting Professorships at Dalhousie University (Canada), Denmark Technical University (Copenhagen), and the Asian Institute of Technology (Bangkok). Education: B.Tech (Hons) in Civil Engineering from IIT Kharagpur (India), Master’s degree in Civil Engineering (first rank in specialization), and a PhD in Civil Engineering from Purdue University (USA), specializing in Hydraulics and Systems Engineering. He is a Fellow of Engineers Australia (FIEAust). Research interests include water resources systems management, groundwater and surface water modeling, reservoir operation optimization, saltwater intrusion control, AI-driven environmental predictions, and ecological flow assessment. His work integrates simulation-optimization frameworks, machine learning (e.g., ANFIS, SVM), and hydraulic engineering principles to address contamination, climate change, and infrastructure challenges in tropical and coastal regions. His publications (178+ entries) focus on computational tools for groundwater contamination source identification, sustainable aquifer management, and reservoir environmental impacts. Notable projects include a $629,000 CRC-CARE-funded initiative for contamination monitoring networks and AI-based drought prediction models in tropical Queensland. Advising: Coordinated the Master of Engineering (Water Resources Management) at JCU and supervised over 30+ Master’s and 19 Ph.D. students across IIT Kanpur, JCU, and the University of South Australia. His research has been ranked #1 globally by ScholarGPS in Groundwater Pollution, Surrogate Models (AI/ML), and Saltwater Intrusion management. Labs/Teams: Core member of TropWATER, EGRU, and CRC-CARE, leading interdisciplinary projects on tropical water systems and geochemical contamination modeling in mine sites.

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Jean FanView profile

Assistant Professor

Johns Hopkins UniversityUnited States

Jean Fan, PhD is an Assistant Professor of Biomedical Engineering at Johns Hopkins University, affiliated with the Center for Computational Biology and Institute for Computational Medicine. Her research focuses on developing machine learning methods to analyze spatially resolved and single-cell omics data. Her team, the JEFworks Lab, creates open-source tools for analyzing high-dimensional biological data to understand cellular identity, tissue organization, and disease progression. Dr. Fan's work bridges computational biology with clinical applications, particularly in leukemia and pediatric brain cancers. Education: BS in Biomedical Engineering & Applied Math from Johns Hopkins (2013); PhD in Bioinformatics from Harvard Medical School (2018); Postdoc in Chemical Biology/Physics at Harvard (2018–2020) under Xiaowei Zhuang, focusing on spatial transcriptomics. Research emphasizes spatial genomics and computational tool development, with key contributions to spatial alignment algorithms (STalign), normalization techniques, and cell-type deconvolution methods. Her lab's work has advanced understanding of kidney ischemic injury, glioblastoma spatial dynamics, and CLL pathogenesis. Awards include Forbes 30 Under 30, NSF CAREER Award, and 2025 PECASE. She founded CuSTEMized, a nonprofit providing STEM storybooks for girls. Recent collaborative projects include HuBMAP 3D reference atlas construction and Discovery Award-funded interdisciplinary initiatives. Labs/Teams: JEFworks Lab (primary); active collaborations with Dana-Farber Cancer Institute and Harvard Medical School. Current efforts focus on spatially resolved multi-omic integration and clinical translation of computational tools.

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Alison OatesView profile

Associate Professor

University of SaskatchewanCanada

Dr. Alison Oates is an Associate Professor at the University of Saskatchewan's College of Kinesiology, specializing in biomechanics and motor control. Her research focuses on neuromuscular adaptations, healthy aging, and managing chronic conditions through gait analysis and balance control. She holds a PhD from the University of Waterloo, with postdoctoral training at McGill University on locomotor rehabilitation post-stroke. Her academic background includes a B.Sc. in Kinesiology from Waterloo, followed by advanced studies in dynamic stability during gait termination in Parkinson's patients. She teaches advanced courses such as Motor Control of Neurological Conditions (KIN 422.3) and Sensorimotor Control of Posture & Locomotion (KIN 822.3). Dr. Oates' research explores biomechanical and neuromuscular aspects of balance and gait, particularly in neurologically impaired populations and older adults. Recent work includes studies on haptic feedback systems, sex-and-gender-based analysis in balance research, and fall prevention strategies. Her articles highlight innovative methods like IMU-based motion capture and clinical applications for spinal cord injury and stroke rehabilitation. While no formal academic awards are listed, her contributions to gait rehabilitation and biomechanical measurement techniques are widely recognized. She currently oversees research projects investigating the efficacy of haptic input on walking stability and neuromuscular adaptation mechanisms. Her work bridges clinical practice and biomechanical theory to improve rehabilitation outcomes for individuals with neurological disorders.

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Andrea MaurinoView profile

Professor

University of Milano-BicoccaItaly

Andrea Maurino is a Full Professor at the University of Milano-Bicocca and leads the Insid&s LAB. His research focuses on data quality, knowledge graphs, machine learning, and their applications in healthcare, finance, urban planning, and organizational analysis. He explores cutting-edge techniques like Large Language Models (LLMs) for decision support systems and semantic annotation of tabular data. Key research interests include improving data quality frameworks for large RDF datasets, developing enterprise knowledge graphs for organizational insights, and applying AI to social media analysis and hate speech detection. His work bridges theoretical advancements with real-world applications such as smart city mobility prediction and nutritional strategies for healthy aging. Notable contributions include scalable tools like ABSTAT-HD for knowledge graph profiling and the 3d-clost mobility prediction model. Maurino’s interdisciplinary approach integrates data science with fields like psychology (ICD-11 decision support) and environmental science (ESG activity detection in financial texts). His lab collaborates on projects like Food NET, combining nutrition science with social network analysis. While no formal awards are listed here, his prolific publication record reflects sustained innovation in data-driven methodologies.

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Stephanie BurtView profile

Professor

Harvard UniversityUnited States

Stephanie Burt is the Donald P. and Katherine B. Loker Professor of English at Harvard University's Faculty of Arts and Sciences (FAS). Her office is located at Barker 270, and she holds regular office hours. She earned a B.A. from Harvard in 1994 and a Ph.D. from Yale in 2000. Her research focuses on 20th- and 21st-century poetry, science fiction, literature’s relationship with geography, contemporary writing, comics, and intersections between literature and other arts. She hosts the podcast Team-up Moves and teaches a creative writing workshop on poetry. Burt’s publications include critical works like The Poem Is You (2016) and poetry collections such as We are Mermaids (2022). Her writing explores formal innovation, interdisciplinary approaches, and the public role of poetry. She is currently on leave for Spring 2025.

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