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James WolferView profile

Professor

• Artificial Intelligence
• Computer Vision
• Medical Imaging
• +3 more

James Wolfer is a Professor in the Computer Science and Information Systems department at Indiana University South Bend (IUSB) since 2001. His research focuses on biologically-inspired computing, medical imaging applications, and computer science pedagogy. He holds a Ph.D. in Computer Science from Illinois Institute of Technology and has contributed to fields such as genetic programming, deep learning, and haptic interfaces. Education: 1993: Ph.D., Computer Science, Illinois Institute of Technology 1981: M.S., Computer Information Science, Andrews University 1975: B.A., Religion, Andrews University His research interests include applying natural algorithms to medical imaging, remote sensing, and art, alongside innovating computer science education through robotics and haptic technologies. He has served on committees for IEEE EDUCON and the Eurographics Education Committee, and is an executive member of the International Society for Engineering Pedagogy (IGIP). Key Contributions: Developed haptic interfaces for teaching computer graphics and biomedical applications. Introduced robotics into the computer organization curriculum via an AT&T/SBC Fellowship. Authored over 10 publications on pedagogical models, medical imaging algorithms, and parallel computing. Awards: AT&T/SBC Fellow (for integrating robotics into CS education) He has advised multiple student projects, including SMART Summer Fellowships focused on self-organizing maps, mammography analysis, and haptic palpation. His work bridges theoretical computing with practical biomedical and educational applications.

Jessica KleissView profile

Associate Professor

• Atmospheric Science
• Oceanography
• Image Processing
• +5 more

Jessica Kleiss is an Associate Professor of Environmental Studies and Director of the Environmental Studies Program at Lewis & Clark College. Her research focuses on fluid dynamics in the ocean and atmosphere, particularly using image processing techniques to study cloud geometry and wave breaking. She holds a PhD in Physical Oceanography from Scripps Institution of Oceanography (2009) and dual BS degrees in Mathematics and Earth, Atmospheric, and Planetary Sciences from MIT (2000). Her work combines remote sensing, computational analysis, and field observations to inform climate models. Recent projects include estimating 3D geometry of shallow cumulus clouds using ground-based sensors and analyzing wave dynamics in extreme environments like the Gulf of Tehuantepec. She has also explored green roof runoff quality in urban settings. Teaching includes courses on climate science, oceanography, and spatial analysis in Earth systems. Her research methods span oceanographic instrumentation, atmospheric imaging, and interdisciplinary environmental problem-solving. Professional experience includes postdoctoral work at the University of Washington’s Joint Institute for the Study of the Atmosphere and Ocean (JISAO). Current research focuses on validating climate models through cloud observations and advancing automated cloud classification techniques.

• Marine Biology
• Genomics
• Proteomics
• +5 more

Jan Strugnell is a Professor at James Cook University, specializing in marine genomics and proteomics. Her research bridges applied and fundamental questions, focusing on climate change impacts, fisheries sustainability, and Antarctic biodiversity. She holds a BSc (hons) from James Cook University and a DPhil from Oxford University, funded by a Rhodes Scholarship. Education : BSc (hons), James Cook University (1995–1999) DPhil in Zoology, Oxford University, UK (2000–2004), Rhodes Scholar Research Interests : Her work integrates genomic and proteomic techniques to study marine organisms' evolution and function. Key areas include: Climate-driven species redistribution and eDNA applications Genetic basis of abalone resilience to temperature stress Antarctic and deep-sea cephalopod evolution Fisheries and aquaculture genomics Scientific Awards : James Cook University Outstanding Alumni Award (2010) Australian Research Council (ARC) Discovery Grant (2015) 40 under 40 by Impact Design Hub (2016) Advising & Grants : Supervises PhD and postdoctoral researchers in coral genomics, eDNA, and fisheries genetics. Active in ARC and FRDC-funded projects focused on abalone resilience, lobster connectivity, and Antarctic ice sheet modeling. Current projects include genomic selection in corals and abalone, and eDNA-based biosecurity frameworks for Antarctica.

• Wireless Communications
• Telecommunications
• Network Optimization
• +5 more

Luca Chiaraviglio is an Associate Professor at the Department of Electronic Engineering, University of Rome Tor Vergata, Italy. His research focuses on evaluating electromagnetic field (EMF) exposure from 5G/6G networks, network optimization, and disaster communication systems. He holds a M.Sc. in Computer Engineering and a Ph.D. in Telecommunication and Electronics Engineering from Polytechnic of Turin. He has authored over 150 publications in top journals/conferences and served as Chief Editor for Frontiers in Communications and Networks. His work includes leading European projects like H2020 LOCUS and coordinating the bilateral project PLAN-EMF. He has received multiple awards, including Best Paper Awards at IEEE VTC and ICIN conferences, and is recognized as a top 1% cited researcher in ICT. Chiaraviglio’s research spans 5G/6G network planning, health risk assessment, energy-efficient network design, and UAV-assisted disaster communication. He has collaborated with institutions worldwide, including Boston University and INRIA Sophia Antipolis. His current interests include 6G health impact analysis, EMF measurement frameworks, and sustainable rural connectivity solutions. He is an IEEE Senior Member and founding member of the IEEE Green Communications Subcommittee. His H-Index is 36 (Google Scholar), reflecting significant contributions to telecommunications engineering and network sustainability.

Dora Blanco HerasView profile

Professor

• High Performance Computing
• Parallel Computing
• GPU Computing
• +7 more

Dora Blanco Heras is a Full Professor in the Department of Electronics and Computing at the University of Santiago de Compostela (Spain). She holds a PhD in Physics (cum laude) from the same institution and has served as Head of the Sustainable Development Office (2005–2010). Her research focuses on high performance computing, parallel computing, and GPGPU techniques applied to remote sensing and medical image processing. She leads the ARQCOMP research group in Computer Architecture and is affiliated with the Center for Research in Intelligent Technologies (CITIUS). Research interests include: High-performance computing for real-time image processing GPU acceleration of hyperspectral/multispectral analysis Anomaly detection in fluvial ecosystems Domain adaptation for Earth observation Machine learning for remote sensing classification Recent work emphasizes deep learning architectures (ResNet, GANs) for land-cover prediction and multispectral anomaly detection. Over 100 peer-reviewed publications span journals like IEEE Transactions on Geoscience and Remote Sensing, with impactful contributions to GPU-optimized algorithms and open-source tools like HypeRvieW. Professional service includes organizing HDCRS Summer Schools on high-performance geospatial AI and chairing Euro-Par workshops. Her team develops cutting-edge solutions for environmental monitoring and sustainable computing.

PABLO QUESADA BARRIUSOView profile

Professor

• Remote Sensing
• Parallel Computing
• GPU Acceleration
• +3 more

Pablo Quesada Barriuso is a Professor at the University of Santiago de Compostela's Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering. He holds a PhD in Information Technology (2015, Cum Laude) from the same institution, focusing on real-time spectral-spatial classification of n-dimensional images using GPUs. His research emphasizes parallel computing techniques for hyperspectral/multispectral remote sensing data processing, targeting low-cost devices to optimize real-time analysis and storage efficiency. Research interests include GPU-accelerated algorithms, wavelet-based denoising, mathematical morphology, and deep learning applications for environmental monitoring. He has been part of the Computer Architecture Group since 2010, contributing to projects like the Galician Rivers Multispectral Anomaly Detection Dataset and CGAN-based reconstruction models. His publications (2013-2025) highlight innovations in superpixel segmentation, watershed algorithms on GPUs, and ELM-based classification systems. While no awards are explicitly listed, his work demonstrates significant contributions to efficient GPU computing for remote sensing challenges. Advising and grants information is not detailed in the provided text. His work is closely tied to the ARQCOMP (Computer Architecture) research group, exploring hardware-software co-design for high-performance imaging solutions.

• Cultural Policy
• Film Studies
• Creative Industries
• +4 more

Dr Melanie Selfe is a Lecturer in Cultural Policy at the University of Glasgow's Department of Theatre, Film & Television Studies, affiliated with the Centre for Cultural Policy Research (CCPR). She serves as Course Director for the MSc in Creative Industries and Cultural Policy and teaches core courses on Cultural Policy and Audience Management. Her research focuses on cultural policy infrastructure, film criticism history, and creative sector dynamics, with expertise in archival work and audience ethnography. Education: BA (First Class) in Film & TV Studies from Aberystwyth University (2002), MA (Distinction) in Film Studies from Nottingham (2003), and a PhD from UEA on film societies in post-war Nottingham (2006). She conducted research on audience responses to sexual violence in cinema (2006-2007) and joined CCPR as an RCUK Fellow in 2007, becoming a Lecturer in 2011. Key research areas include regional variations in creative policy, film criticism's role in shaping audience taste, and historical studies of Hollywood marketing. She co-authored Curators of Cultural Enterprise (2015) analyzing creative business support in Scotland. Current projects explore mid-century film critics as cultural figures and product placement aesthetics in 1930s Hollywood. Grants include a Royal Society of Edinburgh grant (2018) for screen policy workshops and a Carnegie Trust award (2009) for archival film criticism studies. She supervises PhD students on topics like social media impact in China and Scotland's craft sector resilience. Teaching responsibilities include core modules on creative industries policy and advanced audience management strategies. She actively participates in international conferences, presenting on topics ranging from digital audience measurement to national cinema policies.

Ian McLeodView profile

Professor

• Time Series Analysis
• Wavelet Methods
• Data Visualization
• +4 more

Ian McLeod is a Professor in the Department of Statistical and Actuarial Sciences at Western University. He holds a Ph.D. from the University of Waterloo (1977) and conducts research in time series analysis, wavelet methods, data visualization, neural networks, and statistical computing. His work spans traffic safety, climate modeling, and clinical epidemiology, demonstrating interdisciplinary applications of statistical methodologies. His research focuses on developing advanced statistical tools for real-world problems, including traffic legislation impact assessment, climate change analysis, and medical diagnostics. Publications frequently involve collaborative studies with healthcare and environmental science researchers. McLeod has developed specialized R packages for time series analysis and contributed to methodological advancements in ARMA modeling and unit root testing. His recent work includes stroke classification systems and climate impact simulations using multivariate resampling techniques.

James F. ThorntonView profile

Associate Professor

• Moh’s Reconstruction
• Reconstructive Breast Surgery
• Head and Neck Reconstruction
• +3 more

James F. Thornton, M.D., F.A.C.S., is an Associate Professor in the Department of Plastic Surgery at the University of Texas Southwestern Medical Center. His clinical and academic focus lies in reconstructive surgery following Mohs excision, breast reconstruction, and complex head and neck defects. Medical Degree: University of Texas Southwestern Medical School General Surgery Residency: University of Texas Southwestern Medical Center Plastic Surgery Fellowship: Emory University Dr. Thornton’s research emphasizes Mohs reconstruction , biologic agents in wound healing , and optimal surgical approaches for soft tissue defects . His publications highlight large-scale case studies and the integration of biologic materials in reconstructive workflows. His recent work ( 2022–2024 ) explores the use of biologic agents in nasal, scalp, and lip reconstruction, alongside multidisciplinary strategies for rare conditions like congenital hemophilia. Earlier studies ( 2018–2021 ) refine surgical algorithms and evaluate complication management in high-volume clinical settings. Scientific Awards : Redbook's Top Doctors in Breast Reconstruction

Jorge Luis Navarro CamachoView profile

Professor

• Reliability Theory
• Statistical Distributions
• Order Statistics
• +3 more

Dr. Jorge Luis Navarro Camacho is a Full Professor in the Department of Statistics and Operational Research at the University of Murcia's Faculty of Mathematics. His primary research focuses on statistical distributions, reliability theory, and stochastic processes, with notable contributions to the characterization of distributions, coherent systems, and aging classes analysis. He holds a PhD from the University of Murcia (1995) and has been active in academia since 2010. His research interests include order statistics, multivariate distributions, copula models, and their applications in risk analysis and system reliability. He has presented at major international conferences such as MMR2025, OSD2024, and the Spanish+Polish Mathematical Meeting. His work is supported by grants like PID2022-137396NB-I00 from the Spanish Ministry of Science and Innovation. Navarro's academic activities include teaching courses in multivariate statistics and data science. He is affiliated with the 'Characterization, Ordering and Classification of Distributions' research group and has organized conferences like the 2012 International Conference on Ordered Statistical Data. His professional contributions extend to editorial roles, academic service, and interdisciplinary projects in applied probability and statistics. Despite no explicit awards listed, his extensive conference participation and grant funding highlight his scholarly impact.

Alberto AlberelloView profile

Research Fellow

• Ocean Engineering
• Fluid Dynamics
• Climate Modeling
• +3 more

Alberto Alberello is a Research Fellow at the University of East Anglia 's School of Engineering, Mathematics and Physics, specializing in Fluids & Structures . His work focuses on wave-ice interactions, polar oceanography, and nonlinear wave dynamics. Doctor of Science, Swinburne University of Technology (2017) Master of Engineering, Politecnico di Milano (2012) Bachelor of Engineering, Politecnico di Milano (2010) Alberello's research explores the complex interactions between ocean waves and sea ice, particularly in Antarctic and Arctic environments. He investigates wave propagation in ice-covered waters, wave-induced ice breakup, and the development of numerical models like WIce-FOAM for simulating heterogeneous sea ice systems. His work contributes to understanding climate dynamics and improving maritime safety in polar regions. His recent publications demonstrate expertise in wave mechanics, with a focus on parameter-free Schrödinger systems, ICESat-2 altimetry validation, and nonlinear wave evolution under heterogeneous damping. Alberello's work spans both theoretical modeling and experimental validation through wave tank studies and field measurements. Alberello actively collaborates internationally, with recent projects involving institutions such as the Isaac Newton Institute for Mathematical Sciences , London Mathematical Society , and the Daiwa Anglo-Japanese Foundation . He has presented at conferences in New Zealand and Australia and conducted fieldwork in the Southern Ocean and Okhotsk Sea.

• Nutrition Science
• Sports Nutrition
• Exercise Physiology
• +4 more

Lachlan Mitchell is a Lecturer in Nutrition and Dietetics at the School of Behavioural and Health Sciences, Faculty of Health Sciences. His research focuses on the intersection of nutrition, exercise physiology, and public health, particularly in contexts such as sport science, bodybuilding, military populations, and obesity prevention. Mitchell has contributed to systematic reviews and pilot studies examining topics like energy expenditure in resistance exercise, dietary strategies in physique sports, and obesity surveillance initiatives. Academic Affiliation: School of Behavioural and Health Sciences, Faculty of Health Sciences Key Research Areas: Sports Nutrition, Exercise Physiology, Public Health Interventions, Muscle Hypertrophy His work spans diverse populations, including elite athletes, military personnel, and aging individuals. Mitchell frequently collaborates with experts in sports science, cardiology, and epidemiology. Notable contributions include analyzing athlete participation ethics, evaluating nutrition education programs, and exploring the gut microbiome’s role in bodybuilding physiology. Recent articles highlight trends in methodological rigor (e.g., systematic reviews), applied nutrition strategies for performance, and translational research to inform public health policy. Mitchell’s studies often bridge gaps between foundational science and practical applications in clinical and athletic settings. Awards: None explicitly listed Grant and advising details are not explicitly documented in the provided text. Mitchell’s work is affiliated with institutions involved in global health initiatives like the WHO European Childhood Obesity Surveillance Initiative.

Marcel LewandowskyView profile

Lecturer

• Populism and extremism
• Democratic systems
• Party organizations

Dr. Marcel Lewandowsky is a Lecturer in Political Science at the University of Siegen's Faculty of Arts. His academic trajectory includes positions as Acting W2 Professor at the University of Greifswald, DAAD Visiting Assistant Professor at the University of Florida, and research roles at several German universities. He completed his Habilitation in Political Science at Helmut Schmidt University in 2022 and his doctoral studies at the University of Bonn in 2012. His research examines three interconnected domains: populism and extremism in comparative perspective, stability and transformation of democratic systems, and strategic capabilities of party organizations. These interests reflect a focused investigation into contemporary challenges to democratic governance. Lewandowsky's scholarly publications demonstrate consistent focus on European party politics, voter behavior, and democratic processes. His recent works analyze populist radical right parties, voter loyalty mechanisms, and institutional responses to political corruption. Methodologically, he employs both quantitative analysis of electoral data and qualitative examination of parliamentary discourse. As a lecturer during the 2023/24 winter semester, Lewandowsky contributes to the department's teaching mission. His professional service includes participation in academic networks focused on political governance and transformation.

Nadia KouraytemView profile

Assistant Professor

• Metal Additive Manufacturing
• 3D Printing
• Material Characterization
• +3 more

Dr. Nadia Kouraytem is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University, where she directs the METAL 3D Structures Lab. Her research focuses on characterizing process-structure-property relationships in laser-based metal additive manufacturing using advanced experimental techniques and in-situ measurements. She collaborates with national laboratories and industry partners to advance applications in aerospace, defense, and renewable energy sectors. Education PhD in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST, 2016), MS in Mechanical Engineering (KAUST, 2013), and BS in Mechanical Engineering from American University of Beirut (2011). Research Interests Her work encompasses metal additive manufacturing (3D printing), multi-scale material characterization, process optimization for structural applications, and the development of physics-driven and data-driven models to predict material behavior under extreme conditions. She employs techniques ranging from in-situ X-ray imaging to mechanical testing across temperature and strain-rate regimes. Publication Focus Her 15 most recent articles (2016–2025) predominantly explore additive manufacturing defects, process parameter optimization, material behavior under dynamic loading, and innovative characterization methods. Trends include laser powder bed fusion, multi-material systems, and computational modeling approaches bridging microstructural features to macroscopic properties. Awards and Honors Undergraduate Research Mentor of the Year, MAE Department, USU Recognition as a woman leader in Utah's advanced manufacturing industry (UAMMI) Grants and Advising She secured a $800,000 NEUP grant to study mechanical variability in additively manufactured metals and collaborates on a DOE-SETO project analyzing creep-fatigue interactions for renewable energy applications. Currently advises five graduate students on topics including functionally graded materials and recuperator design for concentrated solar power. Laboratory Leadership The METAL 3D Structures Lab utilizes in-situ process monitoring, microstructural characterization, and multi-scale mechanical testing to evaluate additive manufacturing outcomes. Current projects involve collaborations with Argonne National Laboratory and industry partners to qualify materials for high-temperature applications.

Rupsa BhowmickView profile

Assistant Professor

• Climatology
• Meteorology
• Natural Hazards
• +6 more

Rupsa Bhowmick is an Assistant Professor in the Department of Geography and Environmental Science at the University of Wisconsin-La Crosse. Her research focuses on climatology, meteorology, and natural hazards, particularly tropical cyclones and extreme weather events. She integrates machine learning, GIScience, and statistical methods to assess risks associated with severe weather. Education: Ph.D., Geography, Louisiana State University (2015-2020) M.Sc., Geography, University of Calcutta (2010-2012) B.Sc., Geography, University of Calcutta (2007-2010) Research Interests: She investigates the dynamics of extreme weather events using interdisciplinary approaches, including AI-driven forecasting and risk assessment. Her recent work explores tropical cyclone intensification, ENSO phase impacts on cyclone risk, and machine learning applications in climatology. Grants & Advising: Mentors undergraduates in field and data-based research projects. Active collaborator on projects like 'Variability in extreme typhoon wind risk in different ENSO phases.' Labs/Teams: Leads studies on AI-based weather forecasting and severe weather impact analysis through collaborations with institutions like Louisiana State University and NASA.