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Omid Vakili EbrahimiView profile

Researcher

• Clinical Psychology
• Psychiatric Epidemiology
• Methodology
• +8 more

Omid Vakili Ebrahimi is a Researcher at the Department of Psychology, University of Oslo, and affiliated with PROMENTA and Modum Bad Psychiatric Hospital. He specializes in clinical psychology, psychiatric epidemiology, and complex systems modeling of mental health. Education: Cand.psychol. (University of Bergen, 2019), with visiting scholarships at Oxford, Amsterdam, Berkeley, Boston, and Hong Kong Key research areas: Mental health during pandemics, individual differences, network analysis, precision psychiatry, and integration of idiographic/nomothetic perspectives His work applies complex systems approaches to understand depression/anxiety dynamics during the COVID-19 pandemic, focusing on resilience, transdiagnostic mechanisms, and behavioral adherence to mitigation protocols. He has pioneered network models for mental health symptom interactions and developed scalable interventions. Recent publications (2024-2025) demonstrate strong trends in: Network analysis of mental health symptom dynamics Vaccination hesitancy modeling Pandemic-related psychological distress Cross-national mental health comparisons Digital well-being research Integration of computational methods in psychiatry Scientific recognition includes: International Council of Psychologists Early Career Award (2022) ABCT Mentorship Award (2022) Department of Psychology Research Dissemination Award (2020) Section Editor for The Great Norwegian Encyclopedia (2021-present) As a graduate student in the Norwegian Double Ph.D. Program, he investigated complex systems approaches to mental health disorders under advisors Sverre Urnes Johnson, Asle Hoffart, Ole Andre Solbakken, and Daniel J. Bauer. He teaches advanced psychopathology assessment and research communication.

• Forest Growth and Yield Modeling
• Forest Biometrics
• Pine Plantation Management
• +3 more

Mingliang Wang serves as a Researcher at the Plantation Management Research Cooperative (PMRC) within the Warnell School of Forestry and Natural Resources at the University of Georgia. His expertise centers on forest biometrics, with a specialization in growth and yield modeling for loblolly pine plantations across the southeastern United States, leveraging long-term experimental data to inform sustainable management practices. His research portfolio emphasizes: Forest Growth and Yield Modeling Pine Plantation Dynamics Forest Carbon Sequestration Silvicultural Treatment Impacts Stand Structure Analysis Statistical Biometrics He employs advanced regression techniques and longitudinal studies to quantify effects of thinning, fertilization, and site quality on plantation productivity. Analysis of his 15 most recent publications reveals consistent focus on loblolly pine ecosystems, with dominant themes including carbon stock dynamics, thinning efficacy, and species performance comparisons. Methodologically, he integrates nonlinear mixed-effects models and long-term experimental designs to address critical gaps in plantation forestry science. Dr. Wang actively contributes to the Plantation Management Research Cooperative (PMRC), a collaborative hub advancing science-based solutions for sustainable forest management through partnerships between academia, industry, and government stakeholders.

Selin AslanView profile

Assistant Professor

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +2 more

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

Kaveh AsiaeiView profile

Senior Lecturer

• Intellectual Capital
• Sustainability Accounting
• Performance Measurement Systems
• +7 more

Kaveh Asiaei is a Senior Lecturer in Accounting at Birmingham City University, joining in July 2024. With over a decade in higher education, he previously served as a Senior Lecturer at Monash University, where he received accolades as an award-winning educator for three consecutive years. His expertise spans interdisciplinary research in intellectual capital, sustainability accounting, and performance measurement systems, complemented by practical industry experience as an auditor for five years. Kaveh holds a PhD in Accounting from the University of Malaya, an AACSB and AMBA-accredited institution ranked #60 globally by QS. Research Leadership: Supervised over 30 postgraduate students, focusing on intellectual capital , sustainability accounting , and performance measurement systems . Editorial Contributions: Editorial board member for Management Decision and reviewer for journals including British Accounting Review and Journal of Intellectual Capital . Recognition: Achieved outstanding teaching evaluations (scores above 4/5 for 20 semesters, with top scores: 4.93, 4.88, 4.87). His publications address critical areas such as green intellectual capital , environmental management accounting , and ESG pillars , often employing meta-analytical and machine learning frameworks. His work bridges academia and industry, emphasizing practical applications in corporate governance, fintech, and sustainable business strategies. Scientific Awards: Award-winning educator at Monash University (3 consecutive years)

• Science Education
• Climate Science Education
• Geoscience Education
• +4 more

Ted Neal serves as a Clinical Professor of Science Education within the Department of Teaching and Learning at the University of Iowa's College of Education. His work bridges elementary and secondary science education with a focus on climate literacy, geoscience field experiences, and NGSS-aligned curriculum development for Iowa schools. His educational background includes: PhD in Teaching and Learning (Science Education), University of Iowa MS in Science Education, Drake University Certificate in 7-12 Science and Social Studies Endorsement, University of Iowa BA in Environmental Science, Economics and Business, Cornell College Neal's research centers on developing climate science literacy through field-based geoscience education and standards-aligned curricula. He investigates how students build epistemic understanding through authentic data analysis and place-based learning, particularly in elementary and middle school contexts. His work emphasizes teacher professional development for implementing NGSS and addressing environmental justice in science classrooms. Recent publications (2010-2021) reveal consistent focus on climate education, geoscience field methods, and K-12 curriculum design. His scholarship demonstrates growing emphasis on equity in environmental education and leveraging local Iowa contexts for science instruction, with increasing collaboration across geoscience and education disciplines. No specific scientific awards are documented in the provided materials. Neal actively secures major research funding, serving as Principal Investigator for the Iowa K-12 Climate Science Education Initiative (CGRER) and Co-Principal Investigator on NSF grants including GP-IMPACT for geoscience education and the Noyce Scholarship program for STEM teacher development. His grants consistently target improving science teaching through authentic field experiences and standards implementation. He collaborates with the Center for Global and Regional Environmental Research (CGRER) and American Geophysical Union (AGU), leading interdisciplinary teams on projects like the Iowa K-12 Climate Science Education Initiative and Critical Zone Observatory for Intensively Managed Landscapes (IML-CZO).

• Naval Engineering
• Marine Propulsion
• Hybrid Propulsion Systems
• +6 more

Raphael Zaccone serves as an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he is an active member of the department board. He teaches core courses including Military Ships (NAVI MILITARI), Naval Propulsion (PROPULSIONE NAVALE), and Naval Plants (IMPIANTI NAVALI) for the Naval Engineering degree program, as well as Ship Plants and System Safety for Maritime Science and Technology students. His research centers on sustainable maritime innovation, with primary focus areas in hybrid propulsion systems, alternative fuels (particularly methanol conversions), ship safety protocols, and autonomous navigation technologies. Key specialties include energy management strategies for reducing environmental impact, structural solutions for yacht refits, and collision avoidance algorithms compliant with international maritime regulations. His work bridges theoretical modeling with practical engineering applications to address critical challenges in modern naval architecture. Recent publications (2023-2025) reveal a pronounced trend toward maritime cybersecurity and AI-driven safety systems, with significant emphasis on LiDAR-based situational awareness, battery storage optimization for naval vessels, and evaluation frameworks for alternative marine fuels. Approximately 40% of his current work addresses autonomous ship navigation challenges, while 30% focuses on decarbonization through methanol propulsion and waste heat recovery systems, demonstrating strategic alignment with global maritime sustainability initiatives.

Mohammad Mahdi KhaliliView profile

Assistant Professor

• Machine Learning
• Theoretical Machine Learning
• Applied Machine Learning
• +6 more

Mohammad Mahdi Khalili is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University's College of Engineering. He also serves as a part-time Research Scientist at Yahoo! Research, focusing on theoretical and applied machine learning with emphasis on robustness, interpretability, and model compression for large-scale systems including LLMs. Dr. Khalili earned his Ph.D. in Electrical Engineering and Computer Science and MSc in Applied Mathematics from the University of Michigan, Ann Arbor. Prior to OSU, he was a research scientist at Yahoo Research and a postdoctoral researcher at UC Berkeley. His research spans mechanistic interpretability of foundation models , privacy-aware model compression , and fairness in sequential decision-making . Current projects include counterfactual reasoning for fair ML, physiological signal analysis for worker health monitoring, and corruption analysis in model mechanisms. His work bridges theoretical guarantees with practical healthcare and security applications. Recent publications reveal strong focus on model compression techniques (block-wise sparsity, quantization) and interpretability methods for LLMs, with growing emphasis on physiological signal processing applications. The 2024-2025 papers show increasing integration of healthcare domains like ECG analysis and construction worker monitoring. Dr. Khalili currently advises four PhD students: Zhiqun Zuo: Counterfactual Reasoning Zhongteng Cai: Privacy-Aware Model Compression (UAI travel grant recipient) Ding Zhu: Trustworthy Model Compression & Time Series Analysis Vishnu Chhabra: Mechanistic Interpretability His research is supported by two NSF grants (health monitoring systems and dynamic environment robustness), a Translational Data Analytics Institute grant for medical AI, and a College of Engineering grant for large-scale systems. The lab recently acquired a dedicated GPU server for intensive computations. He actively contributes to the ML community through invited talks (Midwest Machine Learning Symposium) and publications in top venues including NeurIPS, ICML, and UAI.

Shayan Ali KhanView profile

Research Fellow

• Corporate Sustainability
• ESG disclosures
• Innovation and Strategy
• +3 more

Dr. Shayan Ali Khan serves as a Research Fellow at the Business Ethics & Management Accounting chair within the Faculty of Law, Economics and Business at Martin Luther University Halle-Wittenberg. He concurrently pursues doctoral research at the Wittenberg Center for Global Ethics (WCGE) under Prof. Philipp Schreck's supervision in the "Ethics and Responsible Leadership in Business" program. His educational background includes: Bachelor's (Hons) in Engineering (summa cum laude) Master's (Research) in Management Sciences with majors in Big Data Analytics (summa cum laude) As an empirical data-driven researcher, his primary focus spans corporate sustainability frameworks, ESG disclosure mechanisms, innovation strategy in R&D contexts, and labor market digitization impacts. His methodological approach integrates quantitative analytics with ethical governance models, particularly examining emerging market dynamics. His publication record demonstrates specialized expertise in sustainability reporting within transitional economies, with particular emphasis on Russian corporate practices. The 2019 conference paper reveals cross-disciplinary engagement with environmental governance metrics and stakeholder accountability systems. Through the Wittenberg Center for Global Ethics, he contributes to research initiatives examining responsible leadership paradigms in multinational corporations, focusing on empirical validation of ethical decision-making frameworks within complex organizational structures. His current research trajectory investigates digitization's disruptive effects on traditional job markets while developing analytical models for sustainable innovation management in R&D-intensive sectors.

Sławomir BieleckiView profile

Professor

• Energy efficiency in power networks
• Rational use of energy
• Reactive power in Electric Power Systems
• +7 more

Sławomir Bielecki is a Professor at the Department of Rational Use of Energy within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His extensive academic career focuses on critical aspects of modern power systems, energy efficiency, and smart grid technologies. As an active researcher and educator, he contributes significantly to both theoretical advancements and practical applications in electrical power engineering. Professor Bielecki's research centers on energy efficiency in power networks , rational use of energy , reactive power management , smart grids , and the integration of renewable energy sources . His work bridges traditional power engineering with modern computational intelligence methods, addressing contemporary challenges in power quality, prosumer systems, and intelligent building technologies. His research has evolved to address emerging issues like the impact of electric vehicles on grid stability and the effects of global events like the COVID-19 pandemic on residential electricity consumption patterns. The analysis of his recent publications reveals a strong focus on practical applications of power system theory, with increasing attention to renewable energy integration, climate policy impacts, and the transformation of traditional power systems. His work spans both technical aspects of power engineering and broader policy considerations, demonstrating a comprehensive approach to energy system challenges. The Rector of Warsaw University of Technology Award for scientific achievements in 2019 (II grade) The Rector of Warsaw University of Technology Award for didactic achievements in 2019 (II grade) Three-time recipient of EU scholarship programs for young academics Multiple Rector's Awards for scientific and didactic achievements (2008-2015) Winner of national thesis competitions organized by the Association of Polish Electrical Engineers As an educator, Professor Bielecki teaches Electric Power Systems courses and mentors students on diploma theses related to energy efficiency, power systems, and reactive power management. His organizational contributions include serving as Secretary of the Scientific Council for Environmental Engineering, Mining and Energy, representing Warsaw University of Technology in the Polish Committee for Standardization, and leading the Scientific Group no. 240 of the Association of Polish Electrical Engineers. His work demonstrates a strong commitment to advancing both the theoretical foundations and practical applications of modern power engineering.

• Paramedicine
• Prehospital and Retrieval Medicine
• Clinical Anaesthesia
• +6 more

Associate Professor Jason Bendall is a conjoint academic at the University of Newcastle's School of Medicine and Public Health, specializing in Anaesthesia and Intensive Care. As Clinical Dean at the Manning Clinical School within the Department of Rural Health, he bridges clinical practice with medical education. His career spans paramedicine, clinical epidemiology, and emergency care research. Undergraduate: Honours in Medical Science (1991) Medical Degree & PhD in Medicine (2004) Postgraduate: Clinical Epidemiology and Biostatistics Research spans paramedicine , prehospital medicine , and clinical anaesthesia with a focus on resuscitation, trauma systems, and acute pain management. Recent work includes tourniquet use analysis, back pain management strategies, and airway registry insights. Key trends in publications: prehospital trauma systems evaluation (2023-2025), airway management improvements (2022-2024), seizure pharmacology (2024), and back pain utilization studies (2024). His research combines clinical trials with large-scale data linkage projects. Professional roles include: Staff Specialist in Anaesthesia at John Hunter Hospital (2018–present) Commissioner at St John Ambulance Australia (2016–present) Convenor of Australian Resuscitation Council's First Aid Subcommittee ILCOR First Aid Task Force Member His work with the Out-of-Hospital Airway Registry and ambulance trauma protocols demonstrates commitment to improving emergency medical systems through evidence-based governance and clinical innovation.

Dominic PollardView profile

Research Fellow

• Archaeological Theory
• Computational and Quantitative Archaeology
• Environmental Archaeology
• +11 more

Dr. Dominic Pollard is a British Academy Postdoctoral Fellow at the McDonald Institute for Archaeological Research , University of Cambridge. His work bridges computational methods, environmental archaeology, and social theory to explore the Late Bronze Age and Early Iron Age Mediterranean, particularly Crete. He combines intensive survey data, GIS modeling, and spatial statistics to analyze settlement patterning, mortuary practices, and agricultural systems. Research Expertise : Archaeological Theory, Computational and Quantitative Archaeology, Environmental Archaeology, Geoarchaeology, Landscape studies. His projects emphasize multi-scalar analysis of human-landscape interactions, focusing on how communities shape and are shaped by their environments. Recent Publications : These include a 2023 Journal of Greek Archaeology synthesis of island-wide settlement changes (15th–6th centuries BCE), a 2023 Journal of Mediterranean Archaeology study using legacy survey data and GIS to model agricultural landscapes, and a 2021 Journal of Anthropological Archaeology quantitative analysis of Knossos cemeteries. All datasets and code are openly available via GitHub and Figshare, reflecting his commitment to reproducibility. Scientific Awards : British Academy Postdoctoral Fellowship

Nils Petter AspvikView profile

Researcher

• Physical Activity
• Objective Measurement of Physical Activity
• Youth Sports
• +3 more

Nils Petter Aspvik is a researcher at the Department of Sociology and Political Science: Sports Science at the Norwegian University of Science and Technology (NTNU), Trondheim . His work focuses on physical activity in populations, objective measurement methods, youth sports, and coach-athlete communication dynamics.

Fabrice BoissierView profile

Associate Professor

• Formal Concept Analysis
• Topic Modeling
• Text Processing
• +7 more

Fabrice Boissier is an Associate Professor at EPITA, specializing in digital methods for humanities and social sciences. He earned his PhD and MSc from Université Paris 1 Panthéon-Sorbonne, focusing on knowledge extraction and reuse in knowledge-intensive processes, enterprise modeling for decentralized organizations, and applications of formal concept analysis, natural language processing, and data visualization. Current Research: Formal Concept Analysis, Topic Modeling, Text Processing, Data Visualization, Knowledge Extraction, and Knowledge-Intensive Processes. Collaborations: Working with Nida Meddouri in the Security and Systems team and Marie Puren in the DMHSS (MNSHS) team. Teaching: Courses in algorithmics, computer architecture, programming languages, and operating systems at EPITA's Bachelor CyberSécurité program. Supervision: Mentoring research and industry interns from EPITA, Université de Sousse, and Université Paris 1 Panthéon-Sorbonne.

• Data Stream Mining
• Data Cleaning
• Machine Learning Explainability
• +7 more

Dr. A.A.A. Qahtan is an Assistant Professor in the Data Intensive Systems research group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His academic appointment focuses on advancing research and education in data-intensive computing with particular expertise in data stream mining, data cleaning, and explainability of machine learning techniques. Dr. Qahtan completed his PhD studies at KAUST (King Abdullah University of Science and Technology) under the supervision of Xiangliang Zhang and Soujin Wang. Prior to joining Utrecht University, he worked as a postdoc at QCRI (Qatar Computing Research Institute) where he developed pattern functional dependencies (PFDs) for data cleaning. His research spans several critical areas in data science: Data Stream Mining and Real-time Processing Data Cleaning and Quality Assessment Pattern Recognition and Functional Dependencies Outlier and Anomaly Detection Concept Drift Detection in Streaming Data Fairness in Machine Learning Systems Missing Data Imputation Techniques Dr. Qahtan's publication record demonstrates consistent contributions to top-tier venues including PVLDB, KDD, ICDE, and SIGMOD. His recent work shows a progression from foundational data cleaning techniques to advanced applications in categorical data analysis, fairness in AI, and cryptocurrency market analysis. His research bridges theoretical foundations with practical applications across multiple domains. Dr. Qahtan actively contributes to academic education at Utrecht University, teaching courses including Data Analytics, Data Science and Society, Data Wrangling and Data Analysis, and Databases across multiple academic years from 2019 to 2024.

Sara E BaumannView profile

Assistant Professor

• Global Health
• Menstrual Health
• Human-Centered Design
• +6 more

Sara E Baumann is an Assistant Professor and Co-Director of the Concept Mapping Institute at the University of Pittsburgh, affiliated with the Department of Behavioral and Community Health Sciences and Clinical and Translational Sciences. She is also a founder of the Global Women's Health Research (GLOWHER) Collective , focusing on participatory methods in global health research. BA (2008), University of Michigan MPH (2009), BRAC University PhD (2019), University of Pittsburgh 2018: Intensive Nepali Language Program at Cornell University Her research integrates human-centered design (HCD) and collaborative filmmaking to address menstrual health inequities in Nepal, Madagascar, and the U.S. She examines how caste, ethnicity, religion, and policy shape menstrual practices and works with communities to co-design interventions. She also explores the role of art in mental health recovery post-disasters and during the pandemic, including her course Can Art Heal? Recent publications focus on menstrual stigma , migrant health , pediatric epilepsy data standards, and public health applications of HCD and concept mapping. Her work emphasizes community engagement , cultural responsiveness , and equity-driven solutions across global and local contexts.