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Moe MojtahediView profile

Senior Lecturer

• Construction Management
• Urban and Regional Planning
• Operations Research
• +8 more

Dr Moe Mojtahedi is a Senior Lecturer at the School of Built Environment, University of New South Wales (UNSW). He earned his PhD in 2014 from the School of Civil Engineering at the University of Sydney. As a certified Project Management Professional (PMP) and Professional Engineer (PEng) accredited by Engineers Australia, Dr Mojtahedi bridges academic research with practical application in construction management and disaster risk reduction. PhD (University of Sydney, 2014) MEngSc (University of New South Wales) B.E. (Industrial), Professional Engineer (Australia) His research focuses on the intersection of construction management , urban resilience , and disaster risk reduction , particularly examining: Climate change adaptation in infrastructure Post-disaster recovery frameworks Lean construction methodologies Decision support systems for risk management Evacuation planning optimization Resilient hospital infrastructure Recent publications analyze trends in disaster science using computational modeling, prefabricated construction for industrial buildings, and AI/ML applications in aged care facility evacuation. His 2025 ChemistryOpen article explores sustainable reaction media for chemoselective processes, demonstrating interdisciplinary reach. Scientific recognition includes: Research Excellence Awards (Engineers Australia, 2012 & 2013) Best Conference Paper (ICES, Salford, 2017) Elsevier Outstanding Contribution Award (International Journal of Project Management, 2017) Learning and Teaching Excellence (UNSW, 2017) As a supervisor, he guides 7 PhD candidates and has mentored 4 graduates, including Mahmoud Ershadi (project management office effectiveness) and Kamyar Kabirifar (construction waste management). He contributes to policy discussions on aligning National Construction Code with UN Sendai Framework and advocates for disaster science integration in built environment practices. His media contributions examine hospital flood risks and climate change adaptation in Australia.

Antti H. NiemiView profile

Professor

• Computational Solid Mechanics
• Structural Engineering
• Civil Engineering
• +5 more

Antti H. Niemi is a Professor and Dean at the University of Oulu 's Faculty of Technology , specializing in computational solid and structural mechanics. His research focuses on advanced numerical methods for engineering analysis and design. Research areas include computational mechanics, structural engineering, and metamaterials Develops innovative finite element methods for thin-body problems Current projects address snow structures, timber building envelopes, and machine learning applications in mechanical systems His recent work emphasizes discontinuous Petrov-Galerkin (DPG) methods for plates and shells, with applications in civil and mechanical engineering. Publications cover: Snow and ice vaults (2024) Machine learning for steel beam capacity prediction (2024) Hygrothermal analysis of timber structures (2024) DPG formulation for Reissner-Mindlin plates (2023) Shell element benchmarking (2018-2022)

Kevin J. KircherView profile

Assistant Professor

• Energy Infrastructure Optimization
• Climate Change Mitigation
• Power Grid Interaction
• +4 more

Kevin J. Kircher is an Assistant Professor at Purdue University in the Departments of Mechanical Engineering and (by courtesy) Electrical and Computer Engineering. He works in Herrick Laboratories and the Institute for Control, Optimization and Networks, focusing on optimization and control strategies for distributed energy resources (DERs) to address climate change, pollution, and energy equity issues. Education: PhD in Mechanical Engineering (Cornell University), Postdoctoral Research in Electrical Engineering (MIT) His research spans DERs like electric vehicles, solar PV, and heat pumps, with a focus on grid interaction and energy system modeling for business/government decisions. He co-developed EDGIE, an open-source MATLAB/Python tool for electrification impact simulation. Recent publications analyze methane emissions in energy infrastructure, predictive HVAC control systems, and grid capacity challenges for residential electrification. His team has secured multiple ASHRAE grants and fellowships, with field studies on thermal storage and grid protection protocols. Mentorship priorities include diversity in energy research, with active recruitment of graduate students skilled in optimization, control theory, and thermal sciences. He leads a course on DERs with open-access materials.

Michael FinkView profile

Researcher

• Control Theory
• Automation and Robotics
• Agricultural Engineering
• +4 more

Michael Fink is a researcher at the Chair of Automatic Control Engineering , Technical University of Munich . He holds an M.Sc. in Electrical Engineering and Information Technology (2020) and a B.Eng. in the same field from Technical University Munich and University of Applied Sciences Landshut (2018), respectively. Research Interests : Model Predictive Control (MPC) with focus on stochastic and robust variants Optimal control strategies for autonomous driving and vertical farming Constraint violation probability minimization in dynamic systems Publications span topics in: Time-optimal MPC for linear systems Stochastic and robust MPC frameworks Learning-based control for greenhouse climate systems Vertical farming optimization Contact: michael.fink@tum.de

• Business Intelligence
• Cloud Computing
• Software Engineering
• +7 more

Professor Farookh Hussain is a distinguished academic at the School of Computer Science , University of Technology Sydney , specializing in Artificial Intelligence , Cloud Computing , and Software Engineering . His research spans diverse sectors including agriculture, manufacturing, healthcare, and transportation. Affiliated with the Australian Artificial Intelligence Institute (AAII) , he leads impactful work in business intelligence and carbon credit systems. Key research areas: AI applications, blockchain for provenance, carbon credit analytics Active in Masters/PhD supervision and cloud computing education Research Highlights : Developed KACINO framework for carbon dynamics modeling Created hybrid cybersecurity frameworks for supply chain risk management Advanced chatbot dialogue breakdown solutions through systematic reviews Proposed hypercomplex knowledge graph recommenders Published extensively on carbon credit price prediction and blockchain storage methods Contributions to water demand forecasting and collaborative robotics adoption Grant Activities : Secured funding from Hampton Capital Asset Management , Innovation Connections , and Science and Industry Endowment Fund Projects include LLM-driven text-to-SQL conversion , blockchain for melanoma data , and AI for storm water management

Arnoldo FrigessiView profile

Professor

• Statistics
• Biostatistics
• Machine Learning
• +5 more

Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.

Chris ReedView profile

Professor

• Electronic Commerce Law
• Artificial Intelligence Regulation
• Blockchain Governance
• +3 more

Chris Reed is a Professor of Electronic Commerce Law at Queen Mary University of London's School of Law, affiliated with the Centre for Commercial Law Studies (CCLS). He holds a BA from Keele University and an LLM from the University of London. His research focuses on AI regulation, blockchain governance, cloud computing law, and cyber law. He has contributed to EU directives on electronic signatures and commerce and advised parliamentary committees. Notable roles include Academic Dean of the Faculty of Law & Social Sciences (2004–2009) and Director of CCLS. His work bridges legal theory and digital innovation, addressing challenges in cross-border regulation, accountability in AI, and data governance. **Research Interests:** Artificial intelligence liability, blockchain applications in sustainability, cloud computing law, cross-border cyber regulation, and electronic commerce frameworks. His interdisciplinary approach addresses legal gaps in emerging technologies, emphasizing ethical and policy dimensions. **Professional Contributions:** Advised UK government on Hague Conference and OECD/G8 initiatives, participated in EU digital signature hearings, and contributed to international conferences. His publications span over decades, focusing on cyberspace jurisprudence, AI governance, and data trusts. He teaches postgraduate courses on e-commerce transactions and regulation. **Labs/Teams:** Active within CCLS, leading projects like the Cloud Legal Project’s Coursera specialization on cloud computing law. Collaborates globally on AI and blockchain governance.

Jonathan M. WinterView profile

Associate Professor

• Climate Prediction
• Climate Impacts on Human Health
• Water Resources
• +9 more

Jonathan M. Winter is an Associate Professor in the Department of Geography and an Adjunct Associate Professor in the Department of Earth Sciences at Dartmouth College . His research explores climate prediction and the impacts of climate variability and change on human health , water resources , and agriculture . He focuses on drivers of tickborne disease expansion, future water availability for irrigation, high-resolution climate projections, uncertainty in regional climate models, and the predictability of climate extremes in the Northeastern United States. Education : PhD and MS from Massachusetts Institute of Technology , BS from SUNY College of Environmental Science and Forestry . Research Interests : Climate impacts on agriculture and human health, bias correction of climate data, crop modeling, extreme precipitation analysis, and Lyme disease expansion. Teaching : Courses on Global Climate Change , Water Resources , and Climate Change Effects on Agriculture . Labs & Teams : Leads the Dartmouth Applied Hydroclimatology Group (AHCG) , mentoring graduate and undergraduate researchers. Publications : Recent work includes high-resolution climate projections , water scarcity implications , and climate-agriculture interactions , with a focus on the Northeastern U.S. and global croplands. Contact : Jonathan.M.Winter@dartmouth.edu | Phone : 603-646-6456

Mihaela GirtanView profile

Associate Professor

• Thin Films
• Solar Cells
• Optoelectronics
• +3 more

Mihaela Girtan is an Associate Professor in the Faculty of Sciences at the University of Angers, heading the Thin Films for Photovoltaic Applications research group. Her work spans thin-film technologies, solar cells, and optoelectronic devices, with expertise in physical/chemical deposition methods and nanomaterials. Education: PhD in Physics, University of Stuttgart (1995) Her research investigates charge transport in oxides, organic/perovskite solar cells, transparent conducting films, plasmonics, and fluid dynamics in CVD reactors. She develops innovative materials for energy conversion, including oxide/metal/oxide electrodes and polymer-based photovoltaics. Recent publications focus on climate-agriculture interactions, including drought risk modeling, irrigation dynamics, and crop yield sustainability. Her work integrates remote sensing, machine learning, and climate modeling to address food security challenges. Scientific Awards: Consistently ranked in top 2% of researchers worldwide since 2020 She leads international collaborations and advises PhD students in materials science. Her group maintains advanced thin-film deposition and characterization facilities at Angers Photonics Laboratory.

• Technological Finance
• Green Finance
• Pension Finance
• +6 more

Li Zhongfei is a Chair Professor and Vice Dean of the School of Business at Southern University of Science and Technology (SUSTech). He is a member of the State Council's Discipline Review Group, National Outstanding Young Scientist, National Model Teacher, and recipient of the State Council's Special Government Allowance. His career spans roles as Distinguished Professor at Lingnan College, Executive Dean at Sun Yat-sen University, and leadership positions in academic societies such as the Chinese Society for Systems Engineering. Education : PhD in Management (1997-2000) and Master's in Operations Management (1988-1990) from the Chinese Academy of Sciences, and a Bachelor of Science in Mathematics from Lanzhou University. Research Interests : His work focuses on Technological Finance Green Finance Pension Finance Financial Engineering and Risk Management Insurance and Actuarial Science with applications to financial markets, digital finance, and sustainability. Scientific Trends from his publications include: ESG rating impacts on capital markets Green innovation under carbon pricing Machine learning in cryptocurrency forecasting Robust portfolio optimization under uncertainty Climate risk and policy analysis Post-pandemic economic recovery and systemic risk Scientific Awards : Recipient of the National Teaching Achievement Award, Guangdong Province Philosophy and Social Sciences prizes, Zhong Jiaqing Operations Research Award, and recognition as a Top 2% Scientist (Stanford, 2023). He was honored as a National Model Teacher and 'Top Ten Most Respected Business School Deans in China.' Grants & Projects : Principal investigator in NSFC key projects, including 'Intelligent Investment and Risk Management under Dual Carbon Strategy' and 'Financial Innovation and Risk Management.' His projects address fintech, pension funds, and climate risk. Labs & Teams : Leads advanced research teams in SUSTech's School of Business and collaborates with international institutions like the University of Waterloo and Hong Kong Polytechnic University.

Ninghao LiuView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Explainable AI (XAI)
• +6 more

Dr. Ninghao Liu is an Assistant Professor of Computer Science in the School of Computing at the University of Georgia, part of the Franklin College of Arts & Sciences - Division of Physical & Mathematical Sciences. He holds a Ph.D. in Computer Science from Texas A&M University (2021) and an M.S. in Electrical and Computer Engineering from Georgia Institute of Technology (2015). His research focuses on Explainable AI (XAI), Graph Mining, Model Fairness, Recommender Systems, and Outlier Detection, with notable contributions to foundational AI techniques and their applications in education, healthcare, and environmental sciences. Dr. Liu has secured significant funding, including a three-year NSF grant (2022–2025) for 'Graph-Oriented Usable Interpretation' and a five-year $10 million grant from the U.S. Department of Education (2024–2029) for the GenAI Empowered National Initiative for STEM+C Education. He has also been honored with the Outstanding Paper Award at ICML 2022, Best Paper Award Shortlist at WWW 2019, and other distinctions. His work emphasizes interpretable machine learning, graph neural networks, and addressing algorithmic bias. He collaborates across disciplines, contributing to radiology AI, climate-smart forestry, and pandemic prediction through knowledge-enhanced deep learning. His lab is based at the Boyd Research and Education Center, where he advances research in trustworthy AI systems and data-centric solutions.

Nicholas V. SarlisView profile

Professor

• Solid State Physics
• Seismology
• Geophysics
• +3 more

Nicholas V. Sarlis is a Professor of Experimental Solid State Physics at the Department of Physics , National and Kapodistrian University of Athens since 2017. With an h-index ≥36, he has authored 2 monographs, >155 peer-reviewed publications, and 80 conference communications. B.Sc. in Physics (1991), National and Kapodistrian University of Athens Ph.D. in Physics (1997), National and Kapodistrian University of Athens His research applies Natural Time Analysis to: Earthquake precursor identification Space weather and cosmic ray studies Climate phenomenon prediction (El Niño) Fracture mechanics and complex systems Seismicity and geoelectric field correlations Non-extensive statistical mechanics applications Recent work includes analyzing seismic entropy changes under time reversal and developing earthquake nowcasting systems. Publications span 2025's Statistical mechanics in geophysical contexts to 2024's cross-disciplinary disaster prediction tools.

Greg GossView profile

Professor

• Environmental Physiology
• Environmental Toxicology
• Watershed Science
• +3 more

Greg Goss is a Professor in the Department of Biological Sciences at the University of Alberta, Faculty of Science. His research focuses on three interconnected areas: environmental physiology of fishes, environmental toxicology, and watershed science. He investigates physiological adaptations of aquatic organisms to environmental stresses, evaluates the toxicity of industrial and agricultural pollutants, and models Alberta's water resources under climate change scenarios. Collaborations include work with EnCana, Vive Crop Protection, and Dr. Monireh Faramarzi on water management. His lab, Goss Lab, hosts research on nanotoxicology, hydraulic fracturing fluid impacts, and stormwater system improvements. Contact: ggoss@ualberta.ca. Research interests include ion and solute transport mechanisms in fish, toxicity of nanoparticles and pesticides, and watershed modeling for sustainable water use. He employs molecular biology, cell physiology, and field studies across freshwater and marine ecosystems. Industrial partnerships aim to balance environmental protection with economic needs. Notable projects include assessing hydraulic fracturing fluid toxicity on aquatic species, developing predictive water supply models, and improving stormwater management through polymer and wetland technologies. His work contributes to OECD nanomaterial testing standards and regulatory policy.

Lisa StolzenbergView profile

Professor

• Criminology
• Criminal Justice Policy
• Terrorism Studies
• +4 more

Dr. Lisa Stolzenberg serves as the Chair of the Department of Criminology and Criminal Justice at Florida International University (FIU). Her research focuses on quantitative methodologies applied to criminology, terrorism, substance abuse policies, health-related crime, and public safety technologies. She has held research positions at organizations such as Westat, Inc. and the Florida Department of Corrections, and her work has been funded by the National Institute of Justice (NIJ) and the Bureau of Justice Assistance (BJA). Dr. Stolzenberg holds a Ph.D. in Criminology from Florida State University (1993), an M.S. in Criminology (1986), and a B.S. in Criminal Justice from the University of Florida (1985). Her research interests include criminal sentencing, police practices, terrorism dynamics, and the intersection of drug policies with public health outcomes. She is widely published in leading journals such as Criminology and the American Sociological Review. Her recent work examines topics like the impact of cannabis legalization on opioid misuse, the role of body-worn cameras in police interactions, and the sociological factors influencing criminal behavior. Dr. Stolzenberg’s studies often bridge criminological theory with policy implications, contributing to evidence-based reforms in criminal justice systems.

Kelly BakerView profile

Associate Professor

• Maternal and Child Health
• One Health
• Infectious Disease Prevention
• +7 more

Kelly Baker, PhD, is an Associate Professor and Director of the Center for Climate Change and Health Equity at the University at Buffalo’s Department of Epidemiology and Environmental Health (School of Public Health and Health Professions). Her research focuses on transdisciplinary interventions addressing global health challenges, including maternal and child health, One Health frameworks, infectious disease transmission prevention, water insecurity, antimicrobial resistance, and climate change impacts in low-resource settings. She has held prior roles at institutions such as the University of Iowa and Emory University. Education: PhD in Molecular Microbiology and Immunology, University of Maryland Baltimore BS in Biology and Ecology, Oral Roberts University Research Interests: Dr. Baker explores the intersection of climate change, urbanization, and health equity. Her work examines how environmental factors like flooding and water contamination contribute to disease burdens in vulnerable populations, particularly in informal settlements. She also investigates interventions to reduce enteric infections in children through improved sanitation and diagnostics. Recent Article Trends: Her recent publications emphasize occupational safety in small businesses, spatial patterns of pathogen contamination, and policy analyses for diarrheal disease prevention in Kenya. These studies often blend quantitative methods with community-based approaches to address systemic health inequities. Awards and Honors: ASM Student Travel Grant Award Global Health Institute Scholar (Emory University) U.S.-Africa Frontiers of Science Fellow Advising and Grants: While specific grant details are not listed, her leadership in the Center for Climate Change and Health Equity underscores her role in securing funding for transdisciplinary projects. She mentors students in global health research, though no named advisees are documented here. Labs/Teams: Directs the Center for Climate Change and Health Equity, which integrates environmental and public health research to address climate-driven health disparities.