جست‌وجوی استاد و پژوهشگر

• Quantum Theory of Condensed Matter
• Topological Insulators
• Spin Phenomena
• +۷ مورد دیگر

Prof. Jelena Klinovaja is a Professor in the Department of Physics at the University of Basel, affiliated with the Philosophisch-Naturwissenschaftliche Fakultät. She holds leadership roles in research groups focusing on quantum theory of condensed matter, topological systems, and spin phenomena. Her career includes a PhD from the University of Basel (2012), a Harvard Fellowship (2013), and tenure as an assistant (2014) and associate professor (2019) before her current rank. She leads research on topological insulators, graphene, and Majorana fermions, with applications to topological quantum computing. Notable awards include the Swiss Physical Society Prize (2013) and an ERC Starting Grant (2017). Her work combines theoretical physics with experimental collaborations, particularly in nanowires and superconducting systems. She mentors students in the Honors Track program and contributes to interdisciplinary initiatives like NCCR SPIN. Education: Bachelor/Master from Moscow Institute of Physics and Technology (2007-2009); PhD in Theoretical Physics from University of Basel (2012). Research Interests: Topological effects in condensed matter, spintronics, quantum transport, Majorana fermions, and cavity quantum electrodynamics. Publications span over 50 peer-reviewed articles since 2012, focusing on topics like Josephson junctions, topological superconductivity, and hybrid systems. Her work bridges theoretical models with experimental realizations, emphasizing practical applications in quantum technologies. Awards: Swiss Physical Society Prize (2013), ERC Starting Grant (2017). Active in the scientific community, she collaborates with institutions worldwide and advises PhD students in quantum physics and nanoscience. Her research group also explores magnonic systems and topological materials engineering.

Kenneth Zickمشاهده پروفایل

استاد پژوهشی

• Unconventional computing
• Bio-inspired compute systems
• Ising machines
• +۷ مورد دیگر

Dr. Kenneth Zick is a Research Professor at the University of Southern California's Information Sciences Institute (USC ISI), where he serves as Research Director of Transformational Computing. His work focuses on game-changing computer architectures, hardware, and systems for solving critical government problems, with expertise in unconventional computing, quantum computing, and bio-inspired systems. Ph.D. in Computer Science & Engineering, University of Michigan-Ann Arbor M.S. in Electrical Engineering, University of Texas at Dallas Bachelor's in Electrical Engineering, University of Michigan-Ann Arbor Dr. Zick's research interests span unconventional computing , bio-inspired systems , Ising machines , quantum annealing , FPGA-based solutions , and neuromorphic computing . His group develops hardware-centric algorithm discovery and Cosm, a heuristic algorithm for sparse Ising optimization. Current projects include superconducting digital architectures, analog-digital hybrid computing, and human-AI co-design for breakthrough hardware. His team leverages advanced facilities such as USC ISI's MOSIS 2.0 and the California DREAMS hub in the DoD Microelectronics Commons, with expertise in high-speed I/O, FPGA prototyping, and radiation-hardened systems. He has received a NASA Fellowship for his Ph.D. work and mentored students like Aditi, who won the USC ECE Outstanding Academic Achievement Award.

Jana Zaumseilمشاهده پروفایل

استاد

• Nanomaterials
• Optoelectronics
• Carbon Nanotubes
• +۵ مورد دیگر

Professor Jana Zaumseil is a distinguished academic at Heidelberg University, holding the position of Professor for Applied Physical Chemistry at the Faculty of Chemistry and Earth Sciences since 2014. She also maintains a co-opted position with the Faculty of Physics and Astronomy since 2016. Currently serving as Executive Director of the Institute for Physical Chemistry and Spokesperson for the DFG Research Training Group GRK 2948, she leads the Zaumseil research group (also known as the Nanomaterials for Optoelectronics group) at Heidelberg University's Institute for Physical Chemistry. Her educational background includes a PhD in Physics from the University of Cambridge (2003-2007) with a Gates Cambridge Trust Scholarship, and a Diplom (equivalent to M.Sc.) in Chemistry from the University of Leipzig (1997-2022). Prior to her position at Heidelberg, she served as Professor for Nanoelectronics at Friedrich-Alexander-Universität Erlangen-Nürnberg (2009-2014), and completed postdoctoral work at Argonne National Laboratory (2007-2009) following an internship at Bell Laboratories (2002-2003). Zaumseil's research program focuses on the optical and electronic properties of carbon-based nanomaterials, particularly single-walled carbon nanotubes (SWCNTs) and organic semiconductors. Her group specializes in processing, functionalization, characterization and application of these unconventional semiconductors for optoelectronic devices and sensors. They investigate charge transport and light-matter interaction using a wide range of experimental techniques including synthesis, optical spectroscopy, atomic force microscopy, device fabrication, and electrical/optical device characterization. Their work bridges fundamental understanding with potential applications in sensing, imaging, circuits, and energy conversion. Analysis of her recent publications reveals a strong trend toward defect engineering in carbon nanotubes, particularly creating and optimizing luminescent sp 3 defects for near-infrared applications. Her research increasingly integrates fundamental studies of charge transport with practical device applications, especially in neuromorphic computing, biosensors, and thermoelectrics. The interdisciplinary nature of her work is evident in the combination of chemistry, physics, and materials science approaches across her publication record. Dan Maydan Prize for Nanoscience and Nanotechnology (2024) Jahrespreis der Universität Heidelberg (2023) ERC Consolidator Grant (2019) ERC Starting Grant (2012) Alfried-Krupp-Award for Young University Professors (2010) Professor Zaumseil has secured substantial research funding including multiple ERC grants and leads several major collaborative projects such as the ERC Advanced Grant SCALE-NT, Collaborative Research Center SFB 1249, Cluster of Excellence 3D Matter Made to Order, and Research Training Group GRK 2948. She has mentored numerous doctoral and master's students, with her group recently receiving recognition including a Student Poster Presentation Award for Niklas Herrmann. As Dean of the Faculty of Chemistry and Earth Science (2019-2021) and current Vice Dean (2021-), she has played significant leadership roles within the university structure. The Zaumseil research group operates within Heidelberg University's Institute for Physical Chemistry, utilizing advanced facilities for nanomaterial synthesis, optical spectroscopy, and device characterization. The group participates in several major collaborative initiatives including the Cluster of Excellence 3D Matter Made to Order and the Collaborative Research Center SFB 1249, reflecting its integration within Heidelberg's broader research ecosystem focused on molecular systems and materials science.

Alexander Hunterمشاهده پروفایل

مدرس

• Open/Non-linear Music
• Open Music Notation
• Spectralism
• +۷ مورد دیگر

Dr. Alexander Hunter is a Lecturer and Composition Convenor at the School of Music, Australian National University (ANU). He holds a PhD in composition from Edinburgh Napier University (2014) and has taught composition, theory, and music history since relocating to Canberra in 2014. Hunter founded ANU's Experimental Music Studio, focusing on open-form compositions that engage performers in fluid interpretive roles. His research spans open musical forms, spectralism, acoustic ecology, and intersectional feminism, with a commitment to disability and autistic advocacy in the arts. Education includes studies at Northern Illinois University (BA 2006) and HNC from Colaisde Bheinn na Faoghla (2007). His work integrates multimedia collaborations with artists like Mike Parr and Martyn Jolly, exploring themes of dis/ability, environmental health, and Métis cultural heritage. Key projects include Helping the River Sing (2018–2021), linking river health with artistic expression, and AI-driven music composition research with Charles Martin. Hunter’s performance-led projects often involve magic lantern technology, reimagining 19th-century projection as a medium for contemporary ecological and historical narratives. Research interests also encompass New York School music, reductionist improvisation, and anarchist philosophies in composition. His collaborations with ensembles like Ensemble Dal Niente and the Edinburgh Quartet highlight his commitment to experimental performance practices. Recent publications (2023–2025) explore AI applications in music creation and interdisciplinary performance frameworks.

• Art History
• Digital Aesthetics
• Media Theory
• +۴ مورد دیگر

Prof. Dr. Nina Zschocke is Professor of Art History with a focus on 'Digital Aesthetics' at the Karlsruhe University of Arts and Design (HfG Karlsruhe) since April 2024. Previously, she served as senior research associate and lecturer at the Department of Architecture at ETH Zurich until 2023, and as a research associate at the Institute of Art History at the University of Zurich from 2005. She maintains strong connections with the ZKM | Center for Art and Media in Karlsruhe through collaborative projects and lecture series. Her educational background includes studies in art history, ethnology, and classical archaeology at the University of Cologne, where she earned her doctorate in 2004 with a dissertation on 'irritation' in art reception. She furthered her academic work as a DFG visiting scholar at University College London and Columbia University in New York. Zschocke's research centers on the intersection of art history, digital aesthetics, and materiality, with particular emphasis on how computational processes reshape artistic production and reception. Her work explores the material dimensions of digital media, algorithmic authority, and unconventional computing paradigms. She investigates how traditional art historical frameworks can be adapted to address contemporary digital practices and the physical manifestations of computational processes in artistic contexts. Her publications and symposia reveal consistent engagement with digital materiality, examining how digital processes manifest in physical form and how traditional art historical methods apply to contemporary computational practices. Recent work focuses on 'unconventional computing' - exploring alternative physical substrates for computation beyond standard silicon-based systems, and questioning the dominant paradigms of digital technology. Zschocke has organized numerous significant academic events including the 'Conversations on Art and Media' lecture series (2025), 'Dirty Computers' seminar week (2024), 'Digital Matters Symposium' (2024), and the long-running 'Don18 - Conversations on Art and Architecture' (2006-2022). These events demonstrate her commitment to creating interdisciplinary dialogue platforms that bridge art, architecture, media theory, and computational practices. Her academic leadership extends to doctoral program development, having co-designed the SNSF doctoral program 'ProDoc Art&Science' (2008-2014) and the 'Doctoral Program in the History and Theory of Architecture' at ETH Zurich (2012-2015). She has taught at multiple institutions including the University of Fribourg, Bremen University of the Arts, and Bern University of the Arts, establishing herself as a significant figure in European art and media theory education.

Ishan G. Thakkarمشاهده پروفایل

دانشیار

• Energy-Efficient Computing
• Silicon Photonics
• Neuromorphic Computing
• +۵ مورد دیگر

Ishan G. Thakkar is an Associate Professor and Reese S. Terry Professor in the Department of Electrical and Computer Engineering at the University of Kentucky , where he directs the Unconventional Computing Architectures and Technologies (UCAT) Laboratory . He earned his Ph.D. and M.S. in Electrical Engineering from Colorado State University. Research Focus: Energy-efficient, reliable, and secure computing via unconventional architectures (e.g., silicon photonics, optical computing, neuromorphic systems). Key Projects: Photonic accelerators for AI, stochastic computing for error-resilient systems, and 3D memory integration. Scientific Recognition: NSF CAREER Award (2025) Robley D. Evans Faculty Fellowship (2024) Multiple best paper awards Advising: Mentors Ph.D. and M.S. students in areas like silicon photonics, in-memory computing, and neuromorphic systems. Lab alumni include researchers now at Brookhaven National Laboratory and Infinera.

Tao Wenمشاهده پروفایل

استادیار

• Hydrogeochemistry
• Environmental Data Science
• Noble Gas Geochemistry
• +۵ مورد دیگر

Tao Wen serves as an Assistant Professor in the Department of Earth and Environmental Sciences at Syracuse University's College of Arts and Sciences, where he joined the faculty in 2020. He directs two specialized research laboratories: the Hydrogeochemistry And eNvironmental Data Sciences (HANDS) Lab and the Noble Gases in Earth Systems Tracing (NEST) Lab, focusing on human-natural system interactions in water and elemental cycles. Education: Ph.D. in Geology, University of Michigan (2017) M.S. in Geology, University of Michigan (2014) B.S. in Environmental Sciences, University of Science and Technology of China (2011) Dr. Wen's research integrates field measurements, laboratory analyses, and advanced computational methods to investigate water-carbon cycles across spatial and temporal scales. His group employs noble gas geochemistry (He, Ne, Ar, Kr, Xe), isotopic tracing (O, H, C, N), and machine learning to assess impacts from energy extraction, urbanization, and climate change on freshwater systems. Key methodologies include ion chromatography, mass spectrometry, and geostatistical modeling for environmental data science applications. Recent publications demonstrate a pronounced shift toward data-intensive environmental science, with machine learning models increasingly central to analyzing freshwater salinization, methane migration pathways, and shale gas impacts. The research portfolio spans regional groundwater contamination studies to continental-scale freshwater analyses, consistently emphasizing the interplay between anthropogenic activities and natural processes in Earth-surface systems. Scientific Awards: Excellence in Review Award from Applied Geochemistry, International Association of GeoChemistry (2021) Dr. Wen serves as Editor for Applied Geochemistry (2023-present) and previously for Frontiers in Earth Science (2021-2024). He secured NSF funding for developing climate change data search engines and advises students through senior thesis projects and laboratory research in the WEN group. Media coverage of his work includes features in Popular Mechanics, Yahoo News, and AGU press releases regarding freshwater salinity trends and shale gas environmental impacts. The HANDS Lab develops machine learning tools for environmental data analysis while NEST Lab specializes in noble gas applications for tracing fluid migration and tectonic events, together supporting comprehensive investigations of water quality degradation mechanisms across diverse geological settings.

• Design for Policy
• Sustainable Development
• Climate Transitions
• +۴ مورد دیگر

Ramia Mazé is a Professor of Design for Social Innovation and Sustainability at the London College of Communication (University of the Arts London, UAL), affiliated with the Service Futures Lab. Her research focuses on design’s role in policy, sustainable development, and climate justice, emphasizing participatory, critical, and politically-engaged practices. She leads international projects such as the Sustainable Transitions through Democratic Design doctoral network and the Design|Policy UKRI/AHRC Research Network. Education: PhD in Interaction Design, Malmö University (2007) MA(Hons) in Computer Related Design, Royal College of Art (2000) BA (Magna Cum Laude) in Architecture, Barnard College, Columbia University (1996) Research Interests: Mazé explores design’s intersection with governance, feminist epistemologies, and education. Her work addresses climate transitions, public policy engagement, and equity in design practices. Methodologically, she prioritizes practice-based research and interdisciplinary collaboration. Grants & Collaborations: Key grants include the €4M EU Horizon Europe-funded Sustainable Transitions through Democratic Design (CD4T) and UKRI/AHRC-funded Design|Policy Network. She collaborates with institutions like the Service Futures Lab, Policy Design Community, and Nordic Design Research Society. Advising & Career Development: Currently supervising 9 doctoral candidates (7 completed previously). Active in shaping academic promotion criteria and supporting unconventional research career paths, particularly gender-inclusive pathways. Labs & Networks: Core member of the Service Futures Lab and steering group member of the Design|Policy Network. Former leadership roles at Aalto University (Finland) and Konstfack University (Sweden).

Edwin Romeijnمشاهده پروفایل

استاد

• Optimization Theory
• Radiation Therapy Treatment Planning
• Supply Chain Management
• +۲ مورد دیگر

Edwin Romeijn holds the Jill Stewart Archer Family Chair and Professor position in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He served as School Chair from 2015-2024, overseeing the nation's top-ranked industrial engineering program. Previously, he held faculty positions at the University of Michigan, University of Florida, and Erasmus University Rotterdam, and served as Program Director at the National Science Foundation. Education: Ph.D. in Operations Research (1992), Erasmus University Rotterdam M.S. in Econometrics (1988), Erasmus University Rotterdam Romeijn's research centers on optimization theory and applications , with dual focus areas in radiation therapy treatment planning and supply chain management . His radiation therapy work develops algorithms for cancer treatment planning and clinic scheduling, while his supply chain research addresses integrated optimization of production, inventory, and transportation under demand flexibility, resource constraints, perishability, and uncertainty. His methodologies bridge theoretical operations research with real-world healthcare and logistics systems. His publication portfolio demonstrates consistent contributions to optimization methods across diverse application domains, with recent work spanning healthcare systems, renewable energy, sports analytics, and unconventional logistics. The research exhibits strong methodological continuity in stochastic programming, network optimization, and decision-making under uncertainty. Scientific Awards: Fellow of IISE and INFORMS (2017) Richard C. Wilson Faculty Scholar (2012-2013) Multiple best paper awards in industrial engineering conferences Pierskalla Best Paper Award (2003) Young Investigator’s Award at ICCR (2004) Romeijn has advised numerous graduate students and secured significant research funding through NSF and other agencies. His leadership extends to program direction at NSF and chairing Georgia Tech's Industrial and Systems Engineering school. He maintains active collaborations with healthcare institutions and manufacturing enterprises, translating theoretical advances into practical solutions for radiation oncology and supply chain resilience.

Forrest Brewerمشاهده پروفایل

استاد

• VLSI Design
• Computer Engineering
• Electronic Design Automation
• +۷ مورد دیگر

Professor Forrest Brewer is a faculty member in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. His research spans VLSI design, computer-aided design tools, and low-power computing, with a focus on unconventional engineering solutions. Education: PhD in Computer Science, University of Illinois BS in Physics (with honors), California Institute of Technology His work includes CMOS pulse-gate asynchronous logic for high-performance systems, sigma-delta modulation for signal processing, and formal verification strategies for asynchronous circuits. Applications range from radiation-hardened communication links for the Large Hadron Collider (LHC) to spiking neural networks for low-power computing in LIDAR/RADAR systems. Affiliations: California Nanosystems Institute Allosphere Steering Committee (Media Technology) With over 100 publications and 40 years of systems design experience, Brewer has contributed to defense programs, founded UCSB's Computer Engineering program, and served as Intel Faculty Fellow (1997). His lab, the Systems Synthesis Lab, explores collective dynamics and high-resolution, low-latency computation.

Ben Tempertonمشاهده پروفایل

دانشیار

• Host-virus interactions
• Bacteriophages
• Viral metagenomics
• +۷ مورد دیگر

Dr. Ben Temperton is an Associate Professor of Microbiology at the University of Exeter, where he leads the Temperton Lab within the School of Biosciences. His research focuses on understanding host-virus interactions in both environmental and clinical settings, with particular emphasis on bacteriophages and their applications in addressing antimicrobial resistance. During the COVID-19 pandemic, he led the SouthWest hub of the UK's genomic surveillance network (COG-UK), coordinating efforts that shaped government policy through real-time data. Dr. Temperton has an unconventional academic path, having first worked as a software engineer for several years before retraining as a microbiologist. His educational background includes: PhD in Microbiology from Queen's University Belfast (2009-2011) MSc in Information Technology (Software Engineering) from University of Nottingham (1998-1999) BSc in Chemistry from University of Birmingham (1995-1998) His research interests span multiple disciplines, focusing primarily on interactions between bacteriophages and their hosts. He has developed novel methods for long-read sequencing of viromes from marine and soil microbial communities, identifying previously unknown viral species. His work also includes high-throughput isolation of ecologically and clinically important viruses. A significant portion of his recent research involves the Citizen Phage Library, which he established as a national capability for providing characterized phages for compassionate use in treating drug-resistant bacterial infections. He leads a consortium developing the first multi-site AGILE clinical trial of phage therapy for chronic obstructive pulmonary diseases in the UK. Dr. Temperton's publication record shows a strong focus on viral ecology, host-virus interactions, and applications of phage therapy. His recent work demonstrates increasing emphasis on translating basic research into clinical applications, particularly for antimicrobial resistance. He has also made significant contributions to genomic surveillance methods, especially during the COVID-19 pandemic. As a mentor, Dr. Temperton leads a diverse research group with multiple PhD students, postdoctoral researchers, and MbyRes students working on various aspects of viral ecology and phage therapy. His lab operates under a "Pirate Code" that emphasizes inclusivity, responsibility, professionalism, meticulousness, positivity, supportiveness, honesty, digital resilience, and inspiration. He collaborates with four industrial partners to help bring phage therapeutics to market and works closely with clinicians at the Royal Devon and Exeter Hospital. Dr. Temperton's lab is part of several Exeter research networks including Exeter Marine, Health Technologies @Exeter, and Microbes and Society @Exeter, reflecting the interdisciplinary nature of his work that bridges environmental microbiology, clinical applications, and technological innovation.

• Mechanical Engineering
• Aerospace Engineering
• Automotive Engineering
• +۱۲ مورد دیگر

Ricardo Martinez-Botas is a Professor of Turbomachinery and Associate Dean for Industry Partnerships at the Department of Mechanical Engineering, Imperial College London. He holds affiliations with the Electrochemical Science and Engineering, Energy Materials, Grantham Institute, Mechanics of Materials, and Network of Excellence in Air Quality. His academic career includes a DPhil from the Rolls Royce University Technology Center at the University of Oxford (1993) and an MEng in Aeronautical Engineering from Imperial College London. He also serves as a Visiting Professor at University Teknologi Malaysia. His research focuses on unsteady flow aerodynamics in turbochargers, supercritical CO2 systems, and thermal-fluids engineering. Notable contributions include advancements in turbine aerodynamics, pulsating flow control, and generative AI-driven design methodologies. He leads the Thermofluids Division and the Hybrid and Electric Vehicles Theme at the Energy Futures Lab. His work integrates computational fluid dynamics (CFD), experimental methods, and one-dimensional modeling for turbomachinery optimization. Key Awards: Dugald Clerk Prize (2011), ASME Turbomachinery Best Paper Awards (2010, 2009). Editorial Roles: Associate Editor of the Journal of Turbomachinery (ASME) and Journal of Mechanical Engineering Science (IMechE). Facility Leadership: Developed the TURBODYNA dynamic simulator for radial turbomachinery and commissioned a blowdown facility for dense gas vapor research. His research portfolio spans interdisciplinary topics like battery technology, organic Rankine cycle turbines, and sustainable automotive emissions control. He actively collaborates with industry partners to translate academic innovations into real-world applications, emphasizing energy efficiency, waste heat recovery, and low-carbon transportation solutions.

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Nicolas RAGOT is an Associate Professor at CESI, affiliated with the Engineering and Numerical Tools department. He teaches Digital and embedded electronics, Microcontroller programming, System control, and Sensors at the Bachelor and Master levels. His research focuses on Environment perception for robotics and Computer vision, particularly in unconventional applications. He leads or collaborates on major research programs including ROJUNACO (2023–2025), FUSION (2023–2027), OASIS (2022–2024), and COLIBRY (2021–2024), all addressing robotics, digital twins, and industrial automation. He co-supervises PhD students Y. Feddoul, S. Ouarab, and S. Choudhary. His work spans smart mobility, assistive technologies, and energy-efficient systems. He is a member of the Secure Electronic Transactions (TES) competitiveness cluster's expert committee. Education: PhD in Computer Vision (University of Rouen, 2009), Master in Electrical Engineering (University of Paris XI, 2003), Engineering diploma (ESIGELEC, 1999). Research interests emphasize robot perception, human-robot collaboration, and extended reality integration. His publications span object detection, SLAM algorithms, and smart wheelchair systems. Current projects emphasize industrial robotics, digital twins, and real-time 3D reconstruction. Advising and grants include leadership roles in multiple research programs and co-supervision of three PhDs. His lab work focuses on Engineering and Numerical Tools, with contributions to CESI LINEACT's collaborative robotics initiatives.

Lateef Akanjiمشاهده پروفایل

مدرس ارشد

• Petroleum Engineering
• Multiphase Flow in Porous Media
• Enhanced Oil Recovery (EOR)
• +۷ مورد دیگر

Dr. Lateef Akanji is a Senior Lecturer in the Department of Petroleum Engineering at the School of Engineering, University of Aberdeen, where he has been contributing since 2014. He previously served as Lecturer and Head of the Petroleum Technology Research Group at the University of Salford, Assistant Professor at King Saud University, and Visiting Lecturer at the University of Leoben. His academic journey includes a PhD from Imperial College London and degrees from the University of Ibadan. University: University of Aberdeen School: School of Engineering Position: Senior Lecturer, Petroleum Engineering Email: l.akanji@abdn.ac.uk Education: PhD, Petroleum Engineering, Imperial College London M.Sc., Petroleum Engineering, University of Ibadan B.Sc. (Honours), Petroleum Engineering, University of Ibadan DIC (Diploma of Imperial College) Research Interests: Dr. Akanji's research centers on multiphase flow in porous and permeable media, with applications in enhanced oil recovery (EOR) in clastic, carbonate, and unconventional shale reservoirs. His work integrates theoretical, experimental, and computational fluid dynamics, utilizing platforms like Python, C++, and Fortran. He is pioneering the application of artificial intelligence in petroleum engineering, particularly in EOR screening and production optimization. His research includes pore-scale modeling, gas-lift systems, and nuclear reactor flow dynamics. Publication Trends: His recent publications (2025–2021) reflect a strong focus on fluid displacement in porous media, shale reservoir characterization, AI applications in energy, and nuclear safety. Notable themes include computational modeling of multiphase flow, biosurfactant EOR, and advanced numerical methods for reservoir simulation. Scientific Awards and Honors: Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Chartered Petroleum Engineer European Engineer (Eur Ing) Member of the Energy Institute (MEI) Advising and Grants: Dr. Akanji supervises numerous PhD students in areas such as AI-based production optimization, permeability upscaling, and biosurfactant EOR. He leads research funded by PTDF, TETFUND, Sonangol, and Elphinstone, focusing on high-pressure high-temperature flow loops, gas-lift pilot rigs, and neuro-fuzzy screening systems. His collaborative projects involve institutions in the UK, Austria, and Australia. Laboratories and Research Platforms: He contributes to the development of the Complex System Modelling Platform (CSMP++), a C++-based API for simulating multi-physics flow in porous systems, co-developed with ETH Zurich and Montanuniversität Leoben. He also leads a technology innovation platform for EOR, including experimental rigs for biosurfactant screening and gas-lift stability testing.

Eduardo Gildinمشاهده پروفایل

استاد

• Reservoir Modeling and Simulation
• Control and Optimization of Dynamical Systems
• Model Reduction Techniques
• +۵ مورد دیگر

Eduardo Gildin is a Professor of Petroleum Engineering and Associate Department Head for Graduate Studies at Texas A&M University's College of Engineering. He holds the L.F. Peterson '36 Professorship and directs the university's graduate studies in petroleum engineering. His research focuses on reservoir modeling, control optimization, model reduction techniques, and CO2 sequestration. Gildin has pioneered data-driven approaches for reservoir simulation, integrating machine learning and physics-based models to enhance efficiency and accuracy. Education: Ph.D. in Aerospace Engineering, University of Texas at Austin (2006) M.S. in Mechanical Engineering, University of São Paulo, Brazil (1998) B.S. in Mechanical Engineering, Faculdade de Engenharia Industrial, Brazil (1995) Research Interests: Model reduction of large-scale dynamical systems Control and optimization of reservoir operations CO2 storage and geological carbon sequestration Machine learning applications in reservoir engineering and drilling automation Geomechanics and compaction damage evaluation Key Awards: 2020: William O. and Montine P. Head Memorial Research Award 2017-2018: Dean of Engineering Excellence Award 2013-2019: Energi Simulation Chair in Robust Reduced Complexity Modeling 2021: Distinguished Membership in Society of Petroleum Engineers Grants and Advising: Gildin has secured major funding for projects on reservoir simulation, drilling automation, and CO2 storage. He advises graduate students on topics such as surrogate modeling and reinforcement learning applications in petroleum systems. His lab collaborates with industry partners to translate research into practical tools for reservoir management and subsurface operations. Labs and Teams: He leads the Reservoir Simulation and Control Lab, focusing on advanced computational methods for reservoir optimization. His team develops open-source drilling models and collaborates globally on projects like the DREAMS (Drilling and Extraction Automated System) initiative.