جست‌وجوی استاد و پژوهشگر

Andreia Marina Ionescuمشاهده پروفایل

دانشیار

• Developmental Biology
• Skeletal Stem Cell Research
• Osteoarthritis
• +۳ مورد دیگر

Dr. Andreia Marina Ionescu serves as Associate Professor of Biology and Principal Investigator at Northeastern University since July 2020, leading research in skeletal development and regenerative medicine. Education: PhD, University of Rochester (NY) Postdoctoral Fellowship, Harvard Medical School Research Interests: Her lab pioneers investigations into growth plate stem cell hierarchies, FoxA2+ long-term skeletal stem cells (LTSSCs), and osteoarthritis mechanisms. Key focuses include: Transcriptional regulation of chondrocyte differentiation Cartilage regeneration via stem cell populations Nanoparticle-based gene delivery for OA treatment PTHrP signaling in skeletal growth Publication Trends: Recent work (2022-2024) demonstrates integration of single-cell transcriptomics with functional studies to map skeletal stem cell lineages, revealing FoxA2+ LTSSCs as critical regeneration mediators. Parallel efforts develop charge-reversed exosomes for targeted cartilage therapy, bridging developmental biology and translational orthopedics. Scientific Awards: NSF CAREER Award (2024) Advising and Grants: Mentors four graduate students, twelve undergraduate researchers, and two senior scientists. Lab operations are supported by NSF CAREER funding and institutional resources for skeletal biology research. Lab and Team: The Ionescu lab integrates wet-lab biologists (Dr. Muruganandan Shanmugam, Dr. Yu Zhou) with computational expertise (bioinformatician Dr. Yu Zhou) to address skeletal regeneration challenges through molecular, cellular, and tissue-level approaches.

Jane Binnerمشاهده پروفایل

استاد

• Financial Resilience
• Financial Services Indices
• Financial Innovation
• +۷ مورد دیگر

Professor Jane Binner is Chair of Finance in the Department of Finance at Birmingham Business School, University of Birmingham. She leads research at the intersection of finance, economics, and data science, with a strong emphasis on big data and artificial intelligence applications. Research Interests: Her work spans Financial Resilience , Financial Innovation , Big Data Analytics , and Econometric Modelling . She applies advanced multivariate techniques to economic and financial data, contributing to both academic and commercial domains. Her research has significant policy and industrial relevance, involving collaborations with government and private sector entities. Her recent publications reflect a strong trend in computational finance and economic policy, focusing on topics such as Brexit, pandemic response, monetary aggregates, and social media analytics. These works demonstrate interdisciplinary rigor and real-world impact, particularly in forecasting and policy evaluation. Scientific Awards: Fellow of the Institute for Nonlinear Dynamical Inference (INDI) Advising and Grants: While specific student advisees are not listed, Professor Binner has attracted over £1 million in external research funding from major bodies including EPSRC/ESRC, Leverhulme Trust, National Science Foundation, and industrial partners like Boots and Experian. She has served as Impact Lead and Director of the Financial Resilience Cluster, highlighting her leadership in research impact and multidisciplinary collaboration. Labs and Teams: She leads the Financial Resilience Cluster at the University of Birmingham, fostering cross-disciplinary research in finance. She also collaborates internationally, including as a visiting professor at the University of Wisconsin and through her INDI Fellowship.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

Jeffrey Schankمشاهده پروفایل

استاد

• Agent-Based Modeling
• Social Behavior
• Evolutionary Dynamics
• +۴ مورد دیگر

Jeffrey Schank is a Professor in the Department of Psychology at the University of California, Davis. He directs the Agent-Based Models Lab, focusing on understanding social and evolutionary behaviors through computational modeling. His academic appointments include teaching roles in biological psychology and quantitative methods, such as courses on Developmental Psychobiology, Animal Behavior, and Agent-Based Modeling. He earned his Ph.D. in Psychology from the University of Chicago in 1991. Research Interests: Schank investigates how complex group behaviors emerge from individual rules, using agent-based models to study social dynamics, evolutionary processes, and developmental biology. Key areas include human mate choice, evolutionary game theory, and the behavior of animal groups like rats and primates. Publications Overview: His work spans theoretical population biology, social simulation, and computational modeling methodologies. Notable contributions include models of cooperative breeding in harsh environments, the evolution of fairness in game theory, and the dynamics of social identity. Recent research emphasizes interdisciplinary applications of agent-based models in ecology and conservation (e.g., waterfowl management). Lab Activities: The Schank Lab collaborates with institutions like the California National Primate Center to model primate social structures. Current projects involve agent-based models of macaque colonies and titi monkeys, incorporating behavioral syndromes and health data. The lab also develops biorobotic models of rat behavior using genetic algorithms.

Constance Liمشاهده پروفایل

استادیار

• Financial Accounting
• Information Systems
• Auditing
• +۵ مورد دیگر

Dr. Constance Li is an Assistant Professor in the Department of Accounting, Finance, and Economics at the University of Nebraska at Kearney, College of Business and Technology. She holds a Ph.D. in Accounting from Florida Atlantic University and brings extensive professional experience from both China and the United States into her teaching and research. Ph.D., Accounting – Florida Atlantic University, Boca Raton M.S., Accounting – California State University, Los Angeles B.A., Business Administration – East China Normal University Her research focuses on the intersection of financial accounting and information systems, particularly in areas such as cybersecurity breaches, auditor-client contracting, and information processing efficiency. She explores how business strategies and market competition influence accounting practices and audit outcomes. Her work has been published in reputable journals including the Journal of Information Systems and Advances in Accounting . The recent publications reflect a strong trend in integrating technological risks with traditional accounting frameworks, emphasizing the evolving challenges in financial reporting and auditing in the digital age. Her work bridges theoretical accounting models with real-world applications in cybersecurity and competitive markets. Dr. Li is a member of the American Accounting Association (AAA) and the California Society of CPAs (CalCPA), reflecting her professional engagement and commitment to the accounting field. She mentors students by fostering a collaborative and respectful classroom environment, drawing from her international experience and multilingual background. While no formal advisees are listed, she emphasizes student development, openness, and trust in her pedagogy. She has not received any explicitly mentioned grants or scientific awards in the provided text. Her research contributes to academic and professional discourse in accounting, particularly in adapting traditional frameworks to modern technological and competitive landscapes.

Selina Heppellمشاهده پروفایل

استاد

• Marine Ecology
• Conservation Biology
• Fisheries Science
• +۱۳ مورد دیگر

Selina Heppell is a Professor and Department Head in the Department of Fisheries, Wildlife, and Conservation Sciences at Oregon State University, College of Agricultural Sciences. She holds an adjunct appointment and is based in Nash Hall, Corvallis, OR. Her research focuses on marine ecology, conservation biology, and fisheries science, particularly on long-lived marine species such as sea turtles, sharks, sturgeon, and rockfish. She leads the Heppell Lab, which conducts interdisciplinary research across global ecosystems. Education: BSc in Zoology, University of Washington (1991) MSc in Zoology, North Carolina State University (1993) PhD in Zoology, Duke University (1998) Her research interests center on population ecology, climate change impacts, habitat assessment, and human perturbations on marine species. She uses computer models and simulations to guide conservation and management policy, with a focus on recovery strategies for threatened species. Her lab integrates biological organization levels—from cells to ecosystems—in rigorous conservation science. The 15 most recent publications reflect a strong emphasis on sea turtle ecology, fisheries modeling, marine protected areas, and interdisciplinary conservation. Key themes include climate effects on sex ratios, growth modeling, telemetry studies, and policy-relevant science for fisheries and marine species management. Scientific Awards and Honors: President, Faculty Senate, OSU (2021) Aldo Leopold Leadership Program Scholar (2006) Roy G. Arnold Leadership Award (2017) Fishery Worker of the Year, Oregon AFS (2016) Multiple awards for student advising and teaching excellence Editorial roles at Ecological Applications and ESA She has mentored 8 PhD and 14 MSc students. She teaches courses including FW 320 (Intro Pop Dyn), FW 520 (Ecology and Mgmt of Marine Fishes), and FW 524 (Stock Assess Fish Mgrs). She has received grants and led projects with NOAA, USFWS, and the Lenfest Ocean Program. She collaborates internationally and with Indigenous communities, emphasizing inclusive science. The Heppell Lab fosters collaborative, enthusiastic science, with members working from Oregon to the Caribbean and beyond. The lab addresses local to global conservation challenges, emphasizing applied research and policy engagement.

• Power System Analysis, Operation and Planning
• Power System Economics
• Electricity Markets
• +۱۶ مورد دیگر

Ivana Kockar is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. She is affiliated with the Institute for Energy and Environment and leads research on the integration of Distributed Energy Resources (DERs) into power systems, focusing on optimization, market design, and policy analysis. PhD, McGill University, 2004 Her research interests include active network management, TSO-DSO coordination, agent-based modeling, Multi-Criteria Decision Analysis (MCDA), and virtual power plants. She develops tools to support the transition to low-carbon power systems and improve grid flexibility through demand participation and energy storage. The recent publications highlight a strong trend in analyzing DSO risk, flexibility markets, and human behavior in energy planning. Her work increasingly integrates socio-technical dimensions, examining how corporate and individual behaviors impact grid operations. There is also a consistent focus on business models for virtual power plants and the economic impacts of forecasting accuracy, indicating a blend of technical and market-oriented research. Outstanding Engineer Award, 2024 Best Innovation Project, December 2015 Special Issue inclusion, International Journal of Electrical Power and Energy Systems, 2008 She has supervised multiple PhD and MSc students and is Principal Investigator on several major research projects, including EPSRC-funded doctoral training and industrial knowledge exchange initiatives. Her work is supported by grants from EPSRC, Ofgem, and energy companies such as SSEN and Scottish Power. She actively collaborates with Management Science colleagues and contributes to policy development. She leads a research team at the Institute for Energy and Environment, working closely with industry partners and international research consortia such as the EU Horizon 2020 SmartNet project. Her team applies advanced computational methods, including high-performance computing and agent-based simulations, to real-world energy challenges.

Byeong U. Parkمشاهده پروفایل

استاد

• Nonparametric structured models
• Semiparametric inference
• Non-Euclidean data analysis
• +۲ مورد دیگر

Byeong U. Park is a Professor in the Department of Statistics at Seoul National University, College of Natural Sciences. He has held this position since 1999 and previously served as Assistant Professor (1988–1992) and Associate Professor (1992–1999) at the same university. His research focuses on nonparametric structured models, semiparametric inference, and non-Euclidean data analysis. 1982: B.Sc., Department of Computer Science and Statistics, Seoul National University 1984: M.Sc., Department of Computer Science and Statistics, Seoul National University 1987: Ph.D., Department of Statistics, University of California at Berkeley (supervised by Peter J. Bickel) His research spans nonparametric regression, density estimation, and analysis of complex data on manifolds. Key methodologies include smooth backfitting, local likelihood estimation, and handling of errors-in-variables. He has developed techniques for additive models, varying coefficient regression, and high-dimensional data analysis. Notable scientific awards include the 2019 Incheon Award of Science and Technology, 2018 Carver Medal from IMS, 2017 Seoul National University Research Award, and fellowships from IMS, ASA, and KAST. He has served as Editor-in-Chief for multiple journals and held leadership roles in the Bernoulli Society and ISI. 2019–2023: Vice President, International Statistical Institute 2013–2017: Elected Council member, Bernoulli Society 2002–2004: Editor-in-Chief, Journal of Korean Statistical Society As head of the Nonparametric Inference Lab at Seoul National University, he leads research on infinite-dimensional statistical models and nonparametric methods, emphasizing applications to real-world problems in economics and biomedical data.

• Organic Semiconductors
• Light-Emitting Materials
• Solid-State Physics
• +۳ مورد دیگر

Prof. Dr. Wolfgang Brütting is a group leader at the Institute of Physics, Experimental Physics IV of the University of Augsburg . His research focuses on organic semiconductors and their applications in optoelectronic devices, particularly organic light-emitting diodes (OLEDs) . The group investigates molecular orientation, charge transport, and interfacial polarization mechanisms to enhance device efficiency and stability. Research Interests include: Molecular orientation in organic emitters Charge injection and accumulation in OLEDs Thermally activated delayed fluorescence (TADF) Perovskite nanocrystals for LEDs Organic-inorganic hybrid materials Thin film characterization techniques Recent Publications (2025-2023) highlight advancements in interface engineering, TADF emitter design, and perovskite nanocrystal stabilization. Collaborative efforts span institutions in Germany, Japan, and the U.S., with a strong emphasis on experimental validation and computational modeling. Key Facilities include: Transmission Electron Microscope (TEM) Molecular-beam epitaxy setups Photoluminescence and ellipsometry systems Numerical simulation tools

Marc Torrens Arnalمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۷ مورد دیگر

Marc Torrens Arnal is an Associate Professor in the Department of Operations, Innovation and Data Sciences at ESADE Business School, Ramon Llull University. He serves as Academic Director of the Executive Master in Business Analytics and is an active researcher at ESADE D3 – Institute for Data-Driven Decisions. Education: PhD in Artificial Intelligence, École Polytechnique Fédérale de Lausanne (EPFL) Computer Science Engineering, Universitat Politècnica de Catalunya (UPC) Marc's research centers on the application of Artificial Intelligence to solve real-world business and societal challenges. He is particularly passionate about leveraging AI to enhance human decision-making, improve lives, and bridge the gap between academic research and industrial implementation. His work spans machine learning, recommender systems, data-driven marketing, cybersecurity, and ethical AI. He emphasizes practical, impactful innovation grounded in scientific rigor. The most recent articles reflect a strong trend toward applying AI in business analytics, financial technology, and cybersecurity. There is a consistent focus on personalization, decision support, and ethical considerations. His publications span top venues in AI and human-computer interaction, demonstrating a long-standing contribution to both foundational and applied research. Scientific Awards: No awards explicitly mentioned in the text. Marc has advised numerous industry leaders through his entrepreneurial ventures and academic roles. He co-founded Strands, Inc., where he led innovation for over 14 years, building a globally recognized fintech platform. Though no formal students are listed, his leadership in executive education suggests significant mentorship of professionals and entrepreneurs. He has secured substantial real-world impact through patents and commercial deployment rather than traditional research grants. Labs and Research Teams: ESADE D3 - Institute for Data-Driven Decisions

Adnan Anwar Malikمشاهده پروفایل

مدرس ارشد

• Deep foundations
• Deep excavation support systems
• Geomechanics
• +۵ مورد دیگر

Dr. Adnan Anwar Malik serves as Head of STEM Programs, Senior Lecturer, and Program Coordinator for Civil Engineering at the University of Newcastle Australia within the College of Engineering, Science and Environment. His academic career began in 2018 after five years as a professional geotechnical engineer with international firms. His educational background includes a Ph.D. and Master of Engineering in Environmental Science and Civil Engineering from Saitama University, Japan, and a B.Sc. in Geological Engineering from the University of Engineering and Technology Lahore, Pakistan. His research focuses on deep foundations and excavation systems, with specialization in eco-friendly piling techniques like press-in and rotary press-in driven piles. Dr. Malik's recent publications demonstrate strong trends in sustainable geotechnical solutions, particularly screw pile technology optimization, recycled construction materials, and unsaturated soil mechanics. His work combines experimental testing with numerical modeling to address challenges in difficult subsurface conditions and waste material utilization. His scientific achievements include multiple prestigious awards: Best presentation award at the 1st International Symposium on Construction Resources (2021) Best presenter at the 50th National Conference on Geotechnical Engineering (2015) MEXT Scholarship for doctoral studies (2012) Excellent Master Thesis award from Saitama University (2011) Asian Development Bank scholarship (2009) While specific grant details aren't provided, his research demonstrates significant industry relevance through practical applications in sustainable construction. His leadership roles include Head of STEM Programs and Civil Engineering Program Coordination, reflecting his institutional impact beyond pure research.

• Sensor Networks
• Pervasive Computing
• Middleware
• +۵ مورد دیگر

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

Mihai Marasteanuمشاهده پروفایل

استاد

• Asphalt Pavement Engineering
• Fracture Mechanics
• Viscoelasticity
• +۳ مورد دیگر

Mihai Marasteanu serves as Professor and Miles Kersten Chair in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, with affiliations at the Center for Transportation Studies. His research bridges fundamental material science and practical pavement engineering solutions for Minnesota's infrastructure network. His primary research focuses on asphalt pavement engineering , specializing in fracture mechanics and viscoelasticity applied to low-temperature cracking analysis. Key interests include recycled material integration , asphalt binder-mixture property relationships , and innovative testing methodologies for quality control. His work emphasizes cost-effective solutions for local roads while advancing predictive models for pavement performance. Recent publications (2022-2024) demonstrate strong trends in asphalt mixture optimization , probabilistic density modeling , and nanomaterial-enhanced asphalt (e.g., graphene nanoplatelets). The research consistently targets Minnesota-specific challenges including cold-climate durability, recycled material validation, and field-compaction efficiency. Professor Marasteanu maintains active funding through 9 current projects including: Tools to improve asphalt pavement durability (MN DOT, 2025-2027) Asphalt lift thickness impact on density (MN DOT, 2024-2026) Sawing/sealing joints for cracking control (MN DOT, 2023-2026) EV data for pavement quality assessment (FHWA, 2023-2025) His national leadership includes coordinating pooled fund studies with Wisconsin, Iowa State, and Illinois researchers on low-temperature cracking. While specific lab names aren't documented, his team operates within University of Minnesota's testing facilities, utilizing advanced rheometers and computational models to validate size-effect theories and representative volume element concepts for asphalt mixtures.

• Blockchain Technology
• Internet of Things (IoT)
• Cybersecurity
• +۲ مورد دیگر

Dr. Volkan Dedeoglu is an active researcher at Queensland University of Technology (QUT), specializing in blockchain technology and IoT systems within the School of Computer Science. His work focuses on developing privacy-preserving frameworks and trust architectures for distributed systems. Research Focus: Blockchain applications in IoT and cyber-physical systems Privacy-preserving data sharing and threat intelligence Decentralized trust and reputation management Secure data aggregation and marketplace frameworks His recent work explores cutting-edge applications like CypherChain for privacy-preserving data aggregation in blockchain-based demand response programs and Priv-Share for differential privacy in cyber threat intelligence sharing. These publications demonstrate a consistent focus on bridging theoretical blockchain innovations with practical cybersecurity challenges in IoT ecosystems. Collaborative Research: Dr. Dedeoglu frequently collaborates with QUT colleagues including Raja Jurdak, Salil Kanhere, and Sidra Malik, indicating active participation in QUT's distributed systems and cybersecurity research groups.

Rui Ningمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy-preserved AI
• Secure AI systems
• +۳ مورد دیگر

Rui Ning is an active Assistant Professor in the Department of Computer Science at Old Dominion University (ODU), within the Batten College of Engineering & Technology. His academic journey includes a B.S. in Computer Science & Engineering from Lanzhou University (China), an M.S. in Computer Science from the University of Louisiana at Lafayette, and a Ph.D. in Electrical & Computer Engineering from ODU. Dr. Ning's research focuses on cybersecurity, privacy-preserved AI, and secure AI systems, with particular emphasis on backdoor detection in neural networks, federated learning security, and privacy-preserving deep learning. His work bridges theoretical security mechanisms with practical implementations in real-world AI systems, addressing critical vulnerabilities in modern machine learning frameworks. Analysis of his publication trends reveals a strong focus on adversarial machine learning, with increasing attention to multimodal AI security since 2022. His research shows consistent growth in addressing sophisticated attack vectors while developing practical defense mechanisms applicable to industry settings. Notably, his work spans both theoretical contributions and practical implementations, often achieving high acceptance rates at top-tier conferences. Mark Weiser Best Paper Award, IEEE PERCOM, 2018 Best In-session Presentation Award, IEEE INFOCOM, 2019 NSF CRII Award, 2022 Ph.D. Researcher of the Year, ODU ECE, 2019 Dr. Ning actively mentors graduate students, currently supervising multiple Ph.D. candidates and an M.S. student at ODU. His grant portfolio demonstrates significant research impact, with over $1.5 million in funding as PI or Co-PI from sources including NSF, DoD, NSA, and industry partners like Interdigital. His research addresses critical challenges in AI security with practical applications for cybersecurity infrastructure. Dr. Ning also contributes substantially to academic service as a reviewer for top conferences and journals, and serves on program committees for major AI and security venues.