Prof. Dr. Ole W. Fischer is a Professor of Architectural and Design History/Architectural Theory at the State Academy of Fine Arts Stuttgart since 2023. He has held academic roles at institutions like Biberach University of Applied Sciences and the University of Utah School of Architecture. Fischer is also the Ombudsperson for Good Scientific and Artistic Practice and Head of the Department of Art History-Aesthetics. University: State Academy of Fine Arts Stuttgart Academic Rank: Professor Roles: Ombudsperson, Deputy Head, Head of Department Research Interests: Architectural theory and history, focusing on modernism and critical theory. Intersections between philosophy (notably Nietzsche) and architectural form. Digital architecture, virtualization, and immersive environments. Urban studies, including post-industrial and shrinking cities. Analysis of ornament, autonomy, and cultural-political contexts in design. Publications span 2024 to 2023, with themes in architectural theory, digital design, urbanism, and historical critique. His work explores topics like reconstruction, postmodernism, and the influence of Nietzsche on architecture. Scientific Awards: Designpreis 'Schönste Bücher Österreichs 2010' for co-edited work.
Kosa Goucher-Lambert is an Assistant Professor of Mechanical Engineering at the University of California, Berkeley. He serves as Associate Director of M.Des at the Jacobs Institute and is an Affiliate Faculty member at both the Jacobs Institute of Design Innovation and the Berkeley Institute of Design. He holds a B.A. in Physics from Occidental College (2011) and M.S./Ph.D. degrees in Mechanical Engineering from Carnegie Mellon University (2014, 2017). His research investigates engineering design decision-making through mathematical analyses, computational modeling, human cognitive studies, and neuroimaging. Key focus areas include sustainable design, analogical reasoning, creativity methodologies, preference modeling, and crowdsourcing applications in product development. His 2023 Amazon Research Award project (LCAssist) targets life-cycle-informed sustainable design systems. Major Awards & Fellowships: National Science Foundation Graduate Research Fellowship ASME Design Theory & Methodology Best Paper Award (2014) Excellence in Design Science Award (2019) 2023 Amazon Research Award (Sustainability) He teaches courses on integrated product development addressing socio-technical challenges and leads the Co-Design Lab. No student advisees or publication details are listed in the source material.
Fidel Santamaria is a Professor in the Department of Neuroscience, Developmental and Regenerative Biology at the University of Texas at San Antonio (UTSA), within the College of Sciences. His research integrates experimental, computational, and theoretical approaches to study cerebellar function, learning and memory, and the role of biological complexity in neural computation. Education: Ph.D. in Neuroscience, California Institute of Technology B.S. in Physics, National Autonomous University of Mexico His research focuses on history-dependent dynamics across biological scales, employing fractional-order differential equations to model memory effects from molecules to behavior. He investigates intrinsic excitability and synaptic plasticity in cerebellar Purkinje cells, combining electrophysiology, multi-photon imaging, and biophysical modeling. His work extends into neuromorphic engineering , where he develops circuits with memory elements like mem-capacitors to emulate biological learning rules. Recent publications reveal a strong trend in modeling non-Markovian processes in neurons, information coding in networks with memory, and the biophysical basis of plasticity. This interdisciplinary approach bridges neuroscience, physics, and engineering. Scientific Contributions: Developed a unified framework using fractional calculus for history-dependent neural activity Demonstrated coupling between synaptic and intrinsic plasticity in Purkinje cells Explored calcium dynamics changes post-plasticity Advanced neuromorphic circuits with memory components Studied cerebellar excitability in autism models Santamaria actively mentors students through his research lab, where he supervises projects involving computational modeling, electrophysiology, and imaging. His work is supported by research grants (implied by lab activity and NCBI profile). He leads a multidisciplinary research team focused on understanding how biological complexity enables efficient neural computation. The lab combines experimental neuroscience with advanced mathematical modeling and engineering principles to explore fundamental questions in brain function.
Carla E. Brodley is a Professor and Dean of Inclusive Computing at Northeastern University, where she also serves as Founding Executive Director of the Center for Inclusive Computing (CIC) – a $50M initiative focused on systemic, sustainable change to remove institutional barriers in computing. She has led Khoury College of Computer Sciences (2014-2021), served on the Presidential Cabinet, and previously held faculty roles at Tufts University and Purdue University. Research interests include: Computer Science Education Machine Learning Diversity in Computing Data Science Intersectional Analysis Entropy-based Diversity Metrics Curriculum Reform Belonging in Computing Recent publications focus on intersectional data analysis, entropy-based diversity metrics, and institutional barriers in computing education. She examines how cohort-based analysis provides more accurate longitudinal insights than traditional percentage-based approaches, particularly for gender, race, and ethnicity representation. Scientific honors include Fellowships with: Association for Computing Machinery (ACM) Association for the Advancement of Artificial Intelligence (AAAI) American Association for the Advancement of Science (AAAS) She has advised numerous PhD students (now at institutions like NASA Jet Propulsion Laboratory, Oregon State University, and Northeastern) and leads the CIC’s efforts to help over 60 U.S. universities implement inclusive computing practices through intersectional data analysis and institutional consulting.
Dr. Emmanuel Tope Oluwabusola is a researcher in the Department of Chemistry at the University of Aberdeen, specializing in the discovery and characterization of bioactive natural products from diverse sources such as extreme microbes, marine invertebrates, and plants. His work bridges analytical chemistry, pharmacognosy, and computational methods to advance drug discovery, particularly against human pathogens and cancers. His research focuses on isolation and structural elucidation of natural products , utilizing advanced techniques like LC-MS, NMR spectroscopy, and quantum mechanical modeling to determine molecular structures and stereochemistry. He has particular expertise in marine natural products, metabolomics, and anti-biofilm/anti-quorum sensing agents. His internship at Fundación Medina, Spain, provided industrial exposure to high-throughput screening in drug development. The recent publications highlight a strong trend in marine and fungal natural products , with emphasis on antimicrobial, antiparasitic, and cytotoxic compounds. Computational approaches such as virtual screening and SAR analysis are increasingly integrated into his research, reflecting a multidisciplinary strategy in modern natural product drug discovery. Scientific Expertise and Contributions: Natural Product Isolation from Extreme and Marine Environments Structural Elucidation using LC-MS and NMR Quantum Mechanical Stereochemical Analysis Anti-Quorum Sensing and Anti-Biofilm Research Virtual Screening and In Silico Pharmacology Phytochemical Responses to Environmental Stressors Dr. Oluwabusola actively collaborates with a network of over 70 co-authors, including prominent researchers such as Marcel Jaspars, Rainer Ebel, and Ahlam Haj Hasan. His collaborative work spans international institutions, particularly with Fundación Medina in Spain. Although no formal advising or grant information is provided, his extensive publication record indicates active engagement in funded or institutional research projects. He has not listed any personal lab or team, but his work appears to be embedded within larger research groups focused on marine biodiscovery and natural product chemistry at the University of Aberdeen.
Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.
Johannes Scholz is a Full Professor for Geoinformatics at the Department of Geoinformatics (Z_GIS) at Paris-Lodron-University Salzburg. He leads the GeoAI, GeoKG, and GeoSemantics research group and holds secondary roles in academic governance, including membership in the Curricularkommission Geographie at Salzburg and the Austrian Standards TC 084 committee. He has held visiting positions at the University of California, Santa Barbara, and prior affiliations include Associate Professor at Graz University of Technology and Senior Researcher at Research Studios Austria - Studio iSPACE. His research interests span geospatial artificial intelligence, knowledge graphs, semantics, and numerical optimization, with applications in energy transition, digital tourism, and cyber-physical systems. Projects include Agent-based simulation for energy systems GeoHumanities integration Indoor geography analysis Selected scientific awards include the ISPRS Outstanding Reviewer Award (2020) and the Forschungspreis der Steiermark (2011). He has secured significant funding for projects such as "Virtual Shepherd" (FFG 2024) and "ABM4EnergyTransition" (FFG 2022).
José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.
Dr. Sergio Galindo Torres is an Adjunct Associate Professor at the School of Civil Engineering, University of Queensland (UQ). His research focuses on geotechnical engineering, fluid dynamics, and computational modeling of granular and porous media. He specializes in discrete element methods (DEM), lattice Boltzmann methods (LBM), and their coupling for simulating particle-fluid interactions. His work addresses transient two-phase flow, hydraulic fracturing, dispersion in porous media, and erosion mechanisms. His publications (45 journal articles, 31 conference papers, and technical reports) highlight his expertise in micromechanical analysis and numerical simulation of complex geological systems. Recent studies examine Péclet-number-dependent dispersion and airblast hazards in block caving. The 15 most recent articles reflect trends across computational geomechanics, with emphasis on: Fluid flow in static/dynamic porous media DEM-LBM coupling for granular-fluid systems Two-phase displacement under varying boundary conditions Airblast hazard simulation in mining Liquefaction micromechanics Capillary pressure-saturation dynamics Dr. Galindo Torres collaborates with researchers like Alexander Scheuermann and Ling Li, and his work appears in journals such as Water Resources Research , Physical Review , and Computers and Geotechnics . He does not list specific awards or advisees in this dataset.
Paula López Martínez is a Full Professor at the University of Santiago de Compostela (USC) and Deputy Director of the Singular Research Centre on Intelligent Technologies (CiTIUS) . Since June 2024, she has held the Televés Microelectronics Chair at USC. Her work bridges Computer Vision and Electronic Design of Intelligent Devices , with a focus on CMOS Image Sensors and Biomedical Applications . Her research spans Energy Harvesting , Device Modeling , and Low-Power Embedded Systems . Key projects include SEMIoTICS (low-power AI at the edge), MISEL (multispectral vision), and NANOEATERS (nanotechnology transfer). She has authored over 100 peer-reviewed papers and served in IEEE leadership roles, including Secretary of the Sensory Systems Technical Committee and Treasury of IEEE Women in Engineering Spain (2006–2008). Recent publications highlight Analog Computing-In-Memory , HDR CMOS Sensors , and Energy-Efficient DC-DC Converters . Her work integrates Photovoltaic Energy Harvesting with Biomedical Device Design , emphasizing Self-Powered Systems and Dynamic Vision Sensors . She employs Verilog-AMS and ATLAS Simulations for CMOS Photodiode Modeling , addressing Crosstalk and Shot Noise in pixel arrays. Notable collaborations include Victor M. Brea, Diego Cabello, and Miguel Heredia Conde. She contributes to IEEE Transactions and Q1-Ranked Journals , with a focus on Hardware Acceleration via FPGA and Custom IC Design . Her expertise spans Thermoelectric Generators , Smart Energy Systems , and Radiation-Hard Transistors .
Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.
Matthias Bucher is a Professor at the Department of Electronics and Computer Architecture , School of Electronic & Computer Engineering , Technical University of Crete, Greece. His research focuses on analog/RF integrated circuit design, compact modeling, and semiconductor device physics. Education : PhD (1999) and MSc (1993) in Electrical Engineering from EPFL, Switzerland Research Areas : EKV3 MOSFET compact modeling, RF characterization, nanoscale CMOS, and high-voltage device modeling Courses Taught : Electronics II, Analog CMOS Circuit Design, Special Topics in Analog CMOS Circuit Design His work emphasizes compact modeling for RF and analog circuits, with applications in nanoscale devices and radiation-hardened electronics. Recent publications highlight open-source PDK initiatives, Verilog-A standardization, and noise modeling in advanced transistors. He leads the Electronics Laboratory at TUC and collaborates with microelectronics companies. Bucher is a member of IEEE and the Technical Chamber of Greece, with over 45 publications and two book chapters to his credit.
Giovanni Maria Farinella is a Full Professor at the Department of Mathematics and Computer Science, University of Catania, Italy. He is the Founder Member of the IPLAB Research Group at University of Catania since 2005, an Associate Member of the Computer Vision and Robotics Research Group at University of Cambridge since 2006, and an Associate Member of the Italian National Research Council since 2018. He serves as Scientific Advisor of the NVIDIA AI Technology Centre and board member of the CINI Laboratory of Artificial Intelligence and Intelligent Systems. Dr. Farinella obtained his degree in Computer Science (summa cum laude) from the University of Catania in 2004 and was awarded a Doctor of Philosophy (Computer Vision) from the same institution in 2008. He has obtained the National Scientific Qualification to Associate Professor in 2013-2014 and to Full Professor in 2018. His primary research interests focus on First Person (Egocentric) Vision, Computer Vision, Pattern Recognition, and Machine Learning. Dr. Farinella has pioneered research in egocentric video analysis, object interaction detection, activity recognition, and scene understanding from a first-person perspective. His work bridges theoretical computer vision with practical applications in industrial settings, healthcare, and cultural heritage sites. His recent publications demonstrate a clear trajectory toward more sophisticated, real-time egocentric vision systems capable of understanding complex human activities, anticipating actions, and detecting procedural mistakes through integration of visual analysis, gaze tracking, and large language models. Dr. Farinella has published extensively in top-tier computer vision venues, with his most recent work focusing on egocentric action anticipation, mistake detection in procedural tasks, and the integration of multimodal large language models with visual understanding. His research shows strong emphasis on practical industrial applications while advancing fundamental computer vision techniques. PAMI Mark Everingham Prize 2017 Intel's 2022 Outstanding Researcher Award Dr. Farinella has served as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition - Elsevier, and International Journal of Computer Vision. He has held leadership roles as Area Chair for CVPR 2020/21/22/23, ICCV 2017/19/21/23, ECCV 2020, and as Program Chair of ECCV 2022. He founded and directs the International Computer Vision Summer School (since 2006) and the Medical Imaging Summer School (since 2014). As PI of the EGO4D project, he helped create one of the largest egocentric video datasets with over 3,670 hours of footage from 923 participants across 74 locations worldwide. His IPLAB research group leads multiple significant projects including VALUE, ENIGMA, and FIPEVIS, with strong industry collaborations.
Diogo Poças serves as Assistant Professor in the Department of Mathematics at Instituto Superior Técnico (University of Lisbon) and Researcher at Instituto de Telecomunicações since 2024. Previously, he held faculty positions at the University of Lisbon's Faculty of Sciences (2020-2024) and conducted postdoctoral research at TU München (2018-2020), demonstrating continuous academic engagement within Portugal's leading technical institution. His academic foundation includes: PhD in Mathematics from McMaster University (2014-2017) supervised by Prof. Jeffery Zucker MSc in Mathematics and Applications from Instituto Superior Técnico (2011-2013) supervised by Prof. José Félix Costa BSc in Applied Mathematics and Computation from Instituto Superior Técnico (2008-2011) Dr. Poças' research program integrates theoretical computer science with practical applications across three interconnected domains: Session Types (developing algorithms for type equivalence and communication safety in concurrent systems), Algorithmic Game Theory (analyzing equilibrium computation complexity in congestion games and auctions), and Analog Computation (modeling continuous-data computation through frameworks like the General Purpose Analog Computer). His work consistently bridges formal methods with real-world computational challenges. His publication record reveals a cohesive research trajectory where session type theory advances directly inform game-theoretic mechanism design. Recent papers demonstrate growing sophistication in handling higher-order polymorphic types while simultaneously addressing fundamental questions in auction revenue maximization and congestion game equilibria, indicating a unique interdisciplinary approach to computational theory. No scientific awards or fellowships are documented in available sources. Dr. Poças has mentored students through teaching assistant roles (2013-2015) and supervised his own MSc thesis on stochastic oracle complexity. Current research funding derives from his affiliations with LASIGE (2020-2024) and Instituto de Telecomunicações, though specific grant mechanisms remain unspecified. He contributes to Portugal's computational research ecosystem through Instituto de Telecomuncações, building on prior work with LASIGE where he developed theoretical frameworks now reflected in his recent publications on session types and game equilibria.
Ingrid Montes-González , a Professor at the University of Puerto Rico's College of Natural Sciences , has dedicated 38 years to advancing chemistry through her research in organometallic synthesis and chemical education. As an ACS and IUPAC Fellow , she focuses on ferrocene derivatives for biomedical and materials applications, employing green chemistry principles. B.S. and Ph.D. in Chemistry from University of Puerto Rico Directed research for over 100 students Founded the international Chemistry Festival and ACS Spanish Webinars Her research spans two domains: organometallic chemistry (ferrocenyl chalcones, stilbenes, and ethyne scaffolds for anticancer and antioxidant applications) and chemical education (constructivist learning, green chemistry pedagogy, and historical perspectives). Publications and presentations reflect her dual expertise in synthetic methodologies and educational innovation. Recent articles highlight trends in metal-organic bioapplications (2023), green synthetic protocols (2017), and counterion effects on reaction mechanisms (2009). Her work combines structural characterization (NMR, X-ray) with biological evaluation (DPPH assays, MTS tests). Scientific recognition includes: 2020 Dr. Osvaldo Ramírez-Toro Award (Puerto Rico Chemists Association) 2019 Zaida C. Morales-Martinez Mentoring Prize (ACS) 2017 IUPAC Distinguished Women in Chemistry As a mentor, she coordinates the Project SEED program for economically disadvantaged students and advises the ACS Student Chapter , recognized with Outstanding Awards (1993-2021). Her leadership extends to national and international roles, including ACS Board of Directors (2013-2021) and SACNAS Board (2020-present).
