جست‌وجوی استاد و پژوهشگر

Tharindu P. De Alwisمشاهده پروفایل

استادیار

• High-dimensional Multivariate Statistics
• Sufficient Dimension Reduction
• Dimension Reduction
• +۹ مورد دیگر

Dr. Tharindu P. De Alwis is an Assistant Professor in the Department of Mathematics and Statistics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He is actively engaged in teaching and research, with a focus on high-dimensional data analysis and machine learning applications. Ph.D. in Mathematics (Statistics), Southern Illinois University Carbondale M.S. in Mathematics, Southern Illinois University Carbondale B.Sc. in Statistics and Operations Research, University of Peradeniya, Sri Lanka His research centers on dimension reduction techniques, particularly Sufficient Dimension Reduction (SDR), envelope methods, and their applications in multivariate time series and spatial-temporal data. He integrates deep learning and neural networks into statistical modeling, with recent work on stacking-based deep neural networks and Fourier-based SDR methods. His work bridges statistical theory with practical machine learning applications in complex datasets. His recent publications (2021–2024) demonstrate a strong focus on developing innovative statistical and machine learning methods for time series and high-dimensional regression. Key themes include nonlinear modeling, dimension reduction, R package development, and AI-augmented reliability analysis. These works reflect interdisciplinary applications in engineering, data science, and systems safety. Dr. De Alwis has presented his research at national academic conferences in the USA and has publications in peer-reviewed journals such as Statistical Methods & Applications and Reliability Engineering & System Safety , as well as preprints on arXiv and software on CRAN. He teaches a variety of courses including Precalculus with Trigonometry, Linear Algebra, Applied Statistics, and Data Science. While no formal advisees or grants are mentioned, his active publication record suggests ongoing research mentorship and scholarly engagement. He previously served as a post-doctoral scholar at Worcester Polytechnic Institute before joining UWF.

Hakki Erhan Sevilمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Navigation
• Fault Detection and Isolation
• +۱۲ مورد دیگر

Dr. Hakki Erhan Sevil is an Associate Professor in the Department of Intelligent Systems and Robotics at the University of West Florida, within the Hal Marcus College of Science and Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Texas at Arlington and has extensive research experience in robotics, intelligent systems, and autonomous control. His work spans theoretical and applied domains, focusing on resilient and intelligent robotic systems. Ph.D., Mechanical Engineering, University of Texas at Arlington M.S., Mechanical Engineering, Izmir Institute of Technology B.S., Mechanical Engineering, Izmir Institute of Technology Dr. Sevil's research interests lie at the intersection of robotics, artificial intelligence, and control systems. He specializes in autonomous navigation, fault detection and isolation (FDI), multi-agent coordination, computer vision, and bio-inspired computational methods. His work emphasizes real-world implementation in unmanned and self-sustained systems, particularly in challenging environments. His recent publications and projects highlight a strong trend toward intelligent, resilient, and distributed robotic systems. Themes include entropy-based behavior modeling for UAV swarms, assistive robotics for household tasks, post-disaster damage assessment using aerial vision, and advanced guidance for GPS-denied navigation. These reflect a multidisciplinary approach combining machine learning, control theory, and robotics engineering. 2024 Faculty Excellence in Teaching Award, UWF 2024 Faculty Excellence in Undergraduate Research Mentoring Award, UWF DURIP Grant ($478,000) from ONR (with IHMC) USDA Grant ($728,000) with New Mexico State University US Air Force SBIR/STTR Grant ($110,000) with Catalano Aerospace AFWERX Funding for Distributed Behavior Research Dr. Sevil actively mentors Ph.D. and M.S. students and leads the Sevil Research Group, which has secured multiple internal and external grants from NSF, NASA, ARL, ONR, and USDA. He has served as PI and Co-PI on funded projects and advises student teams that have won national awards. His lab, the Intelligent Systems and Robotics Lab, is highlighted in university communications and national challenges. The group collaborates with IHMC, NMSU, and industry partners, fostering innovation in autonomous systems. The Sevil Research Group operates within the Intelligent Systems and Robotics Lab at UWF, conducting cutting-edge research in autonomous navigation, swarm intelligence, and resilient robotics. The lab collaborates with the Institute for Human and Machine Cognition (IHMC), New Mexico State University, and private aerospace firms. It supports student-led projects, participates in national robotics challenges, and maintains active GitHub repositories for open research dissemination.

Johannes Bjervaمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Linguistic Typology
• +۵ مورد دیگر

Johannes Bjerva is a Full Professor at Aalborg University's Department of Computer Science (Campus Copenhagen), leading the Copenhagen branch and conducting interdisciplinary NLP research integrating linguistic typology. His work focuses on low-resource languages, language model security, and societal AI impact. PhD (University of Groningen, 2017): Thesis on multitask/multilingual lexical modeling M.A. & B.A. in Computational Linguistics (Stockholm University) Research interests span linguistically-informed NLP , language model security , and low-resource language technology . Current projects include the DFF Sapere Aude grant (2025) for language model detection security and the LM2-SEC project (2025–2030). His 2024 ACL paper on embedding inversion security and 2024 EMNLP paper on typological diversity exemplify recent work. Scientific awards include: 2021: Teacher of the Year (AAU Computer Science) 2019: Google Cloud research credits 2022: Carlsberg Semper Ardens (5M DKK) 2024: Novo Nordisk Data Science grant (~10M DKK) Supervision includes 8 PhD students across projects like CreoleVal and HiFi-KPI . He serves on the Industrial Researcher Committee at Innovation Fund Denmark and is a member of Det Unge Akademi (2023–2028).

Sidonie Christopheمشاهده پروفایل

عضو هیئت علمی

• Geographic Information Sciences
• Geovisualization
• Map Design
• +۱۲ مورد دیگر

Sidonie Christophe is a Senior Researcher (Directrice de Recherche, DR1) at UMR LASTIG, a joint research unit of Université Gustave Eiffel, IGN-ENSG, and EIVP. She serves as co-director of the LASTIG laboratory and leads research in geovisualization, map design, and interactive spatial data exploration. She also holds a part-time advisory role (60%) at the French Ministry of Higher Education and Research in the domain of digital technology, environment, climate, and sustainable urban development. PhD in Geographic Information Sciences Senior Researcher, DR1, MTECT Co-Director, LASTIG Laboratory (since 2021) Former Team Leader, GEOVIS (Geovisualization, Interaction, and Immersion) Advisor, Environment and Urban Climate, French Ministry of Higher Education & Research Her research centers on innovative methods for 2D/3D and nD geospatial data visualization, with a focus on enabling spatio-temporal understanding through visual and non-visual spatial thinking. Her work integrates principles from geographic information science, human-computer interaction, and computer graphics. Key areas include urban climate visualization, tactile and augmented reality for accessibility, expressive cartographic rendering, and cognitive aspects of map design. She investigates how aesthetic and semiotic choices impact map comprehension and utility. The 15 most recent publications reflect a strong trend in interactive and accessible geovisualization, particularly for urban and environmental applications. Topics include neural map style transfer, 3D urban climate analysis, tactile maps for the visually impaired, augmented reality in geography, and visual analytics for crisis and climate data. There is a consistent emphasis on user-centered design, interdisciplinary integration, and the development of tools for decision-making under uncertainty. Scientific Recognition and Service: Invited speaker at major conferences (IEEEVIS, AGILE, ICC, CPGIS) Co-organizer of international workshops (e.g., GeoVIS, ISPRS AR/VR sessions) Leader of national research projects (ANR ORACLES, ANR ACTIVmap, ANR ECOCIM) Recipient of international mobility grants (AMICI I-SITE FUTURE) Contributor to national glossaries and research strategy (e.g., French photogrammetry glossary) Advising and Grants: Sidonie Christophe actively supervises PhD students and postdoctoral researchers, including Markie Jiang, Maria-Jesus Lobo, and Alexandre Mielniczek. She leads or participates in multiple funded research projects such as ANR ORACLES (marine flooding visualization), ANR ACTIVmap (tactile 3D maps), and ANR ECOCIM (eco-design of city information models). Her advisory role at the MESR involves shaping national research strategy in digital and environmental sciences. Labs and Research Teams: She is a core member of the GEOVIS team (Geovisualization, Interaction, and Immersion) at LASTIG and previously served as its leader. As co-director of LASTIG, she plays a central role in the leadership and strategic direction of the entire laboratory, which comprises over 100 researchers across four teams: ACTE, GEOVIS, MEIG, and STRUDEL.

Tarjei Mandt Larsenمشاهده پروفایل

دانشیار

• Phenomenology
• Epistemology
• Philosophy of Mind
• +۷ مورد دیگر

Tarjei Mandt Larsen is an Associate Professor of Philosophy and Methodology at the Department of Accounting and Law, UiS School of Business, University of Stavanger. His academic work bridges philosophy with methodology, particularly in the domain of phenomenology and epistemology. Position: Associate Professor Institution: University of Stavanger School: UiS School of Business Department: Department of Accounting and Law Email: tarjei.m.larsen@uis.no Office: EOJ SV-213 Phone: 51833757 His research focuses on Husserlian phenomenology, examining themes such as perceptual justification, intentionality, the epoché, and the constitution of experience. He has also extended his inquiry into the philosophy of computer games and virtual objects, exploring the ontological and experiential status of digital entities. The recent publications reveal a consistent trajectory in 20th-century continental philosophy, particularly in Husserl and McDowell. The works span journals like Mind , Studia Phenomenologica , and Norwegian Philosophical Journal , indicating high scholarly engagement. Keywords across these articles include phenomenology, epistemology, intentionality, and virtual reality, with sub-fields emphasizing transcendental analysis, cognitive justification, and digital ontology. No scientific awards are listed in the provided text. Larsen has co-authored books and chapters with scholars such as John Richard Sagang and Hallvard Fossheim, particularly in edited volumes on the philosophy of computer games and non-conceptual experience. While no direct mention of students or grants is made, his long-standing publication record since the 1990s suggests sustained research activity and academic leadership. He has participated in numerous research seminars and international conferences, indicating active involvement in the global philosophy community. He has contributed to public discourse through op-eds in Stavanger Aftenblad and other newspapers, discussing topics ranging from philosophy in society to educational initiatives. His work in dissemination reflects a commitment to making philosophical inquiry accessible beyond academia.

Peter K. Allenمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Medical Robotics
• +۶ مورد دیگر

Peter K. Allen is a Professor of Computer Science at Columbia University's School of Engineering and Applied Science, with a career spanning over three decades in robotics research. His work focuses on robotic grasping , 3D vision and modeling , and medical robotics , where he has made significant contributions to autonomous manipulation and sensor integration. Current affiliation: Columbia University Robotics Lab Academic rank: Professor Key research areas: Robotics, Computer Vision, Artificial Intelligence Education A.B. in Mathematics-Economics from Brown University M.S. in Computer Science from University of Oregon Ph.D. in Computer Science from University of Pennsylvania (recipient of CBS Foundation Fellowship, Army Research Office Fellowship) Research Interests Allen's research bridges fundamental robotics challenges with applied domains. His work on robotic grasping explores low-dimensional subspaces and semantic task suitability, while 3D vision contributions include illumination coherence and texture registration methods. In medical robotics , he develops surgical imaging tools and BCI-enabled grasping systems. Recent publications show trends in: Deep learning for robotic manipulation (2017-2022) Human-robot interaction through BCI and augmented reality Deformable object manipulation (garments, thin shells) Multi-modal sensing (vision-tactile fusion) Scientific Recognition NSF Presidential Young Investigator Award Best Student Paper Award (2007) for collaborative work Over 30 years of continuous funding from NSF, Army Research Office, and medical grants Teaching and Mentorship He has taught graduate courses in robotics (COMS 4733/6731) since 2010, emphasizing hands-on projects with advanced platforms like Baxter, PR2, and Fetch robots. His lab provides immersive training in: 3D photography Humanoid robotics Autonomous navigation Grasp planning

• English Pronunciation Teaching
• Technology-Enhanced Language Learning
• Phonetics and Phonology
• +۳ مورد دیگر

Assoc. Prof. Hana Vančová, PhD., is a dedicated academic at Trnava University's Faculty of Education, where she has served as an Associate Professor in the Department of English Language and Literature since 2013 (promoted from Assistant Professor following her 2022 habilitation). Currently Deputy Head of Department for Education, she oversees curriculum development and serves as study advisor for single-subject and combined English language teacher education programs at bachelor's, master's, and doctoral levels. Her institutional commitment spans over a decade with full-time employment since 2013. Education: 2004–2009: Master of Arts (Mgr.) in English Language and Literature – Slovak Language and Literature, Faculty of Education, Trnava University 2009–2012: Doctor of Philosophy (PhD.) in Pedagogy, Faculty of Education, Trnava University 2019: Professional Development: "Teaching languages in the digital era: the best apps, web platforms and ICT solutions for learning languages", Institute for Training, Employability and Mobile Learning Hana Vančová's scholarly work centers on English pronunciation pedagogy , with pioneering research in technology-enhanced instruction . Her primary domains include phonetics and phonology , lexicology , and digital language learning tools , investigating how AI, mobile applications, and multimedia resources optimize pronunciation acquisition. She bridges theoretical linguistics with practical classroom applications through ergonomic educational design, emphasizing learner-centered methodologies that address sociolinguistic factors like accent identity and intelligibility. Her habilitation thesis established her as a key innovator in pronunciation technology. Analysis of Vančová's publication trajectory (2014-2024) reveals a decisive shift from foundational studies on Slovak learners' pronunciation errors toward cutting-edge research on AI-driven pronunciation training. Her recent work explores karaoke-based methods and ethical AI implementation in CALL (Computer-Assisted Language Learning), highlighting human-AI interaction dynamics. The consistent thread is her commitment to making pronunciation instruction accessible through technological innovation, with publications increasingly addressing inclusivity, ethical considerations, and ergonomic design in digital language learning environments. While no specific scientific awards are documented beyond her academic promotion, Vančová's habilitation procedure—evaluated by an international committee including scholars from Poland, Czech Republic, and Slovakia—represents significant scholarly recognition. Her work has received 36 citations (14 foreign, 22 domestic) as of 2021. As study advisor for English language teacher training programs, Vančová mentors students across bachelor's, master's, and doctoral studies, guiding curriculum development for profile subjects in phonetics, lexicology, and digital language education. She maintains structured consultation hours (Wednesdays 10:00-11:30, study advising 11:30-13:00 via MS Teams) and demonstrates sustained research productivity through monographs, textbooks, and peer-reviewed articles. Though specific grant funding isn't detailed, her habilitation thesis exemplifies capacity for substantial scholarly projects with practical pedagogical impact. No dedicated laboratories or formal research teams are documented; Vančová's academic activities operate within the Department of English Language and Literature framework, focusing on individual research initiatives and departmental leadership in educational technology integration.

Janet van Hellمشاهده پروفایل

استاد

• Bilingualism
• Second Language Acquisition
• Neurocognitive Processes in Language Development
• +۳ مورد دیگر

Janet van Hell is Professor of Psychology and Linguistics at Pennsylvania State University , where she also serves as Co-Director of the Social, Life, and Engineering Sciences Imaging Center (SLEIC) and Co-Director of the Center for Language Science . She leads the Bilingualism and Language Development (BiLD) Lab , investigating neurocognitive aspects of bilingual language use. Education: Ph.D., University of Amsterdam, 1998 Research Interests: Her work centers on bilingualism , second language acquisition , and the neurocognitive mechanisms underlying language development. Using EEG/ERP , behavioral, and linguistic techniques, her lab explores cross-language interaction, code-switching, and foreign-accented speech comprehension. The ‘brain bus’ , a mobile EEG lab, extends her research into schools and public outreach. Publications Overview: Her recent publications span bilingual phonetics , syntax processing , memory consolidation , and executive control , with a focus on EEG/ERP methodologies and experimental behavioral paradigms . Studies often involve heritage speakers , child bilinguals , and late L2 learners . Advising & Collaborations: Advises numerous PhD students and postdocs, many co-authoring papers (marked with *). Collaborates across Psychology, Linguistics, and Neuroscience departments. Leads outreach via the ‘brain bus’ for public engagement in science. Labs & Centers: BiLD Lab – Bilingualism and Language Development Lab SLEIC – Co-Director, Social, Life, and Engineering Sciences Imaging Center Center for Language Science – Co-Director

• Investments and Portfolio Management
• Financial Forecasting and Modeling
• Financial Markets and Institutions
• +۳ مورد دیگر

Prof. Dr. Fatih GÜZEL , an Associate Professor at Kırşehir Ahi Evran Üniversitesi , Faculty of Economics and Administrative Sciences, Department of Accounting and Finance. His research focuses on investments, portfolio management, financial forecasting, and volatility analysis. Education: PhD in Business Administration, Selçuk University (2014-2020) Master’s in Business Administration (Accounting-Finance), Dumlupınar University (2012-2014) Bachelor’s in Business Administration, Afyon Kocatepe University (2008-2012) Research Interests: Empirical studies on financial markets, volatility interactions, and macroeconomic indicators Focus on Turkish capital markets, BRICS-T countries, and MINT economies Article Trends: Recent works analyze volatility dynamics in Borsa Istanbul, relationships between exchange rates and sector indices, and impacts of global crises on financial markets Utilizes econometric models like frequency domain causality and stochastic volatility Scientific Awards: Multiple TÜBİTAK Publication Incentive Awards (2016, 2017, 2021, 2022) İktisadi Araştırmalar Vakfı Doctoral Thesis Award (2021) Collaborations: Co-authored 15 publications with Melek Acar Worked with Gamze Şekeroğlu (7 papers), Yüksel İltaş (6 papers)

• Machine Learning
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر

Chun-Liang Li is a research scientist at Apple MLR and an affiliate assistant professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington. His work bridges machine learning theory with practical applications in computer vision and natural language processing, focusing on efficient model training and representation learning. His educational background includes: Ph.D. in Machine Learning from Carnegie Mellon University (2014-2019), supervised by Prof. Barnabás Póczos B.S. and M.S. in Computer Science and Information Engineering from National Taiwan University (2008-2013), supervised by Prof. Hsuan-Tien Lin Li's research centers on generative models and representation learning , with significant contributions to document understanding (FormNet series), multimodal systems (Pic2word), and large language model efficiency . His work consistently addresses real-world challenges like reducing training costs while maintaining performance, as seen in distillation techniques and synthetic data optimization. Analysis of his 2022-2024 publications reveals three dominant trends: (1) LLM efficiency through curriculum training and model updating, (2) structural document understanding via graph-based methods, and (3) multimodal representation learning for vision-language tasks. These reflect his cross-cutting approach to improving model scalability and applicability. His scientific recognition includes: IBM Ph.D. Fellowship (2018) Best student paper runner-up at IJCAI (2017) Double first-place wins in KDD Cup Tracks (2011, 2013) While specific grant details aren't listed, his award-winning KDD Cup performances and extensive publication record suggest strong funding support. He collaborates widely with students and researchers, though formal advisees aren't specified. His current roles at Apple MLR and UW position him at the industry-academia interface for cutting-edge AI development. At Apple, Li contributes to the Machine Learning Research group's core vision-language projects, while his UW affiliation enables academic mentorship and cross-institutional collaboration on foundational ML research.

Manohar N. Murthiمشاهده پروفایل

دانشیار

• Machine Learning
• Quantum Computing
• Signal Processing
• +۵ مورد دیگر

Manohar N. Murthi serves as an Associate Professor in the Department of Electrical & Computer Engineering at the University of Miami's College of Engineering. His academic profile shows active engagement across both technical engineering domains and social science research, with recent publications spanning quantum computing applications, neural network models for biomedical signal processing, and political conspiracy theories. Dr. Murthi's research interests bridge multiple disciplines, with primary focus areas including machine learning, quantum computing, signal processing, belief theory, and conspiracy theory research. His work demonstrates a unique interdisciplinary approach that connects electrical engineering methodologies with social science applications, particularly in analyzing belief systems and misinformation patterns. The breadth of his research is evident in publications ranging from technical algorithms for Dempster-Shafer belief theory to sociological studies on White Replacement theory and QAnon conspiracy beliefs. Analysis of his recent publications (2020-2024) reveals two distinct but complementary research trajectories: technical work in quantum tensor networks, graph neural networks, and belief theory frameworks; and social science applications examining conspiracy theories, political extremism, and misinformation. His technical papers often develop novel computational frameworks for uncertainty quantification and data analysis, while his social science work applies these methodologies to understand belief formation and political behavior. This dual focus creates a distinctive research profile that connects engineering rigor with social science insights. Dr. Murthi maintains active research collaborations, particularly with Kamal Premaratne, across multiple publications in both engineering and political science journals. His work has been published in venues including IEEE transactions, The Journal of Politics, and Politics, Groups and Identities, demonstrating successful cross-disciplinary scholarship. His research appears to be supported by collaborative grants, though specific funding sources aren't detailed in the available information. While specific laboratory information isn't provided in the source material, Dr. Murthi's research suggests involvement in computational laboratories focused on machine learning, signal processing, and data analysis. His work with sEMG signals for gesture recognition indicates potential connections to biomedical engineering labs, while his belief theory research suggests computational theory groups. His interdisciplinary approach likely involves collaboration across multiple research teams within and beyond the College of Engineering.

O-Jong Kimمشاهده پروفایل

استادیار

• Nano-satellite development and operation
• Alternative positioning navigation and timing
• Indoor precise positioning
• +۵ مورد دیگر

O-Jong Kim is an Assistant Professor in the Department of Aerospace Engineering at Sejong University, specializing in satellite navigation systems and precise positioning technologies. His research bridges theoretical advancements with practical applications in aerospace engineering, particularly focusing on CubeSat development and GNSS technologies. His educational background includes: B.A. from Seoul National University (2011) M.A. from Seoul National University (2013) Ph.D. from Seoul National University (2018) Dr. Kim's research interests center on nano-satellite development and operation, alternative positioning navigation and timing systems, indoor precise positioning, and GNSS receiver technology. His work addresses critical challenges in navigation systems, particularly in urban and indoor environments where traditional GNSS signals face significant limitations due to signal obstructions and multipath effects. Analysis of his recent publications reveals a strong focus on practical navigation solutions, with particular emphasis on multipath mitigation techniques, CubeSat-based navigation systems, and alternative positioning approaches for emerging applications like Urban Air Mobility. His research demonstrates consistent progression from theoretical algorithms to field-tested implementations, with publications showing increasing citation impact. Dr. Kim has established productive research collaborations, particularly with Seoul National University colleagues, evidenced by his extensive co-authorship network. His research output shows steady growth, with significant publication activity in 2020, 2023, and 2024, indicating active research momentum and sustained scholarly productivity. His major achievements include the design, development, launch, and in-orbit operation of the SNUGLITE cubesat, and the development of single-transmitter-based positioning systems for alternative navigation and indoor navigation applications. These accomplishments demonstrate his ability to translate theoretical research into operational space systems.

• Numerical Analysis
• Algorithm Design
• Computational Mathematics
• +۱ مورد دیگر

Andang Sunarto is an Associate Professor affiliated with the State Islamic Institute (IAIN) Bengkulu, Indonesia and the Lepage Research Institute, Slovakia . His work bridges Numerical Analysis , Computational Mathematics , and Algorithm Design with applications in Robotics , Image Processing , and Sharia-Compliant Systems . Research Focus: Fractional Calculus, Nonlinear PDEs, GPU-Accelerated Algorithms Collaborations: International institutions including Union of Czech Mathematicians and Physicists and University of Prešov His recent publications (2021–2025) emphasize Iterative Methods for solving Time-Fractional Diffusion Equations and Porous Medium Models . He also explores Digital Islamic Education and Halal Tourism Development . Despite no listed awards, his work spans diverse domains like Mobile Banking Evaluation , Environmental Pollution Analysis , and Ethnobotanical Applications . Andang actively designs EdTech tools (e.g., Wordwall-based modules) and contributes to computational methods in Climate Modeling and Nonlinear Diffusion .

• Viscosity Solution Theory
• Partial Differential Equations
• Nonlinear Analysis
• +۳ مورد دیگر

Shigeaki Koike is a Professor at Waseda University's School of Advanced Science and Engineering, specializing in viscosity solution theory for partial differential equations. He has held academic positions at Waseda University since 2019, following professorships at Tohoku University (2012-2019) and Saitama University (2006-2012). His academic journey began at Waseda University where he completed both his undergraduate studies (1981) in Physics and his graduate studies (1988). His research focuses on viscosity solution theory , particularly for fully nonlinear partial differential equations . Key areas include maximum principles (especially ABP-type), regularity theory for equations with unbounded coefficients, obstacle problems, and integro-differential equations. His work provides fundamental theoretical frameworks for analyzing nonlinear phenomena in mathematical physics and engineering applications. His publication record shows consistent research output with 37 papers and 517 citations (h-index 13) as of 2025. His recent work (2015-2024) demonstrates continued leadership in the field, with emphasis on equations with unbounded terms, obstacle problems, and regularity results. His research shows a clear progression from foundational theory to increasingly complex applications. Analysis Prize (2016) from Japanese Mathematical Society for work on Lp viscosity solution theory JMSJ Outstanding Paper Prize (2010) from Japanese Mathematical Society Professor Koike serves on committees for the Japanese Mathematical Society and has participated in numerous international conferences as an invited speaker. His current research project (2020-2025) focuses on regularity theory for viscosity solutions of fully nonlinear equations and applications. His work bridges pure mathematical analysis with applications in physics and engineering, demonstrating the power of viscosity solution methods in handling complex nonlinear phenomena.

• Control Systems
• Petroleum Engineering
• Machine Learning
• +۳ مورد دیگر

Alexey Pavlov is a Professor of Petroleum Cybernetics at the Department of Geosciences and Petroleum, Norwegian University of Science and Technology (NTNU). He holds an MSc in Applied Mathematics from St. Petersburg State University, a PhD in Mechanical Engineering from Eindhoven University of Technology, and has industrial R&D experience from Statoil and Ford Motor Co. Education: MSc (Applied Mathematics, St. Petersburg State University), PhD (Mechanical Engineering, Eindhoven University) His research focuses on control systems for petroleum engineering applications, including nonlinear control theory, iterative learning control, and data-driven optimization methods. Publications reveal a strong emphasis on real-time drilling optimization, well integrity monitoring, and synchronization in networked systems. Recent work trends include machine learning integration for oil well monitoring, moment matching in model reduction, and extremum seeking control for multi-agent systems. Collaborations span institutions like Ford Motor Co., Statoil, and Eindhoven University of Technology. Current affiliations include the Department of Geosciences and Petroleum at NTNU. No scientific awards or advisee information is explicitly mentioned in the provided texts.