جست‌وجوی استاد و پژوهشگر

• Sustainable Finance
• Energy Transition
• Artificial Intelligence in Finance
• +۴ مورد دیگر

Dr. Kylie-Anne Richards holds dual roles as a Senior Lecturer at the University of Technology Sydney (UTS) Business School and Head of Investment Research at Australia's Future Fund. Her academic work bridges sustainable finance, computational finance, and statistical modelling. She earned a PhD in Mathematics and Statistics from UNSW, a Master of Finance (Financial Engineering) from the University of Hong Kong, and undergraduate degrees in Mathematics, Statistics, and Finance from the University of Melbourne. Her research focuses on energy transition, AI applications in finance, and high-frequency data analysis. Recent studies include developing statistical tests for Hawkes processes and evaluating green bond environmental impacts. She has published in Energy Economics, Annals of Actuarial Science, and the International Journal of Financial Engineering. Dr. Richards leads the Centre for Climate Risk and Resilience at UTS, focusing on climate-related financial risks. Her funded research includes projects on fossil fuel divestment mechanisms and transition risk's impact on sovereign bonds. She regularly engages in industry forums discussing AI-driven financial decision-making and fixed income markets.

• Computational Design
• Secure Design and Manufacturing
• Socio-Technical Systems
• +۷ مورد دیگر

Professor Jitesh H. Panchal is a Professor of Mechanical Engineering and Associate Head of Undergraduate Programs at Purdue University's School of Mechanical Engineering. His research focuses on computational design of socio-technical systems, secure manufacturing, and collaborative engineering processes. He holds a PhD from Georgia Tech and has received numerous awards including the NSF CAREER Award (2010) and ASME's Guest Associate Editor Award (2019). Education: Ph.D. (Mechanical Engineering), Georgia Tech, 2005 M.S. (Mechanical Engineering), Georgia Tech, 2003 B.Tech. (Mechanical Engineering), IIT Guwahati, 2000 Research Interests: His work integrates computational methods with human factors, addressing challenges in secure design, additive manufacturing, and decision-making frameworks. Recent trends show focus on AI-driven design optimization, cybersecurity in manufacturing, and policy frameworks for defense acquisitions. Awards: ASME Journal of Mechanical Design Guest Associate Editor Award (2019) NSF CAREER Award (2010) Robert E. Fulton SEIKM Best Paper Award (2013) Ruth and Joel Spira Award (2018) Advising & Grants: His research is supported by grants from NSF and industry partnerships. He advises graduate students in design engineering and manufacturing systems, though no specific student names are listed. Labs: Directs the Design Engineering Lab at Purdue (DELP) , focusing on computational design methodologies and secure manufacturing technologies.

Manfred Pauliniمشاهده پروفایل

استاد

• Particle Physics
• Cosmology
• High Energy Physics Experiment
• +۶ مورد دیگر

Manfred Paulini is a Professor of Physics and the Associate Dean for Research at Carnegie Mellon University's Mellon College of Science. His research spans nuclear and particle physics, focusing on high-energy physics experiments at colliders like the Tevatron and Large Hadron Collider (LHC). He actively explores the intersection of particle physics and cosmology, particularly investigating matter-antimatter asymmetry and dark matter. His work combines traditional high-energy physics with modern machine learning techniques for event classification. Ph.D. and M.S. in Physics from University of Erlangen-Nürnberg Paulini's research focuses on CP violation in B meson systems and dark matter detection via supersymmetric particle production at the LHC. He contributes to the CMS experiment at CERN and previously worked on the CDF experiment at Fermilab. His machine learning work applies convolutional neural networks to collider data analysis for improved event classification accuracy across diverse decay topologies. His recent publications emphasize end-to-end ML classification of LHC data, supersymmetry searches, and precision measurements of CP violation parameters. Research spans 2000-2020 with consistent contributions to fundamental physics questions. Scientific Awards Fellow, American Physical Society Paulini's work involves developing novel detector data analysis frameworks and leading investigations into matter-antimatter asymmetry mechanisms. He supervises graduate student research through Carnegie Mellon's Department of Physics. Current projects include anomaly detection in collider data and improving supersymmetry search sensitivities through advanced ML techniques. His experimental work at CERN and Fermilab combines with computational innovations, maintaining active collaborations across multiple institutions while serving in leadership roles at Carnegie Mellon University.

• Psychology
• Behavioral Science
• Health Science
• +۵ مورد دیگر

Professor Daniel Gucciardi is an academic in the Curtin School of Allied Health, Faculty of Health Sciences at Curtin University. His research focuses on the interface of psychological and behavioral sciences, particularly human performance and health in stress contexts. Key areas include resilience, team dynamics, self-regulation, and behavior change in clinical and healthy populations. Education: BSc(Hons) and PhD from The University of Western Australia (UWA). Research is funded by competitive grants (e.g., ARC Discovery Projects) and demand-driven schemes (e.g., Department of Defence). He teaches Exercise and Sports Science courses and supervises Masters/PhD students. Notable collaborations include work with the Royal Military College and pulmonary rehabilitation programs for COPD patients. Publications span stress regulation interventions, COPD management, and military resilience training. His work emphasizes practical applications, such as improving healthcare professional-patient communication and gamified therapy apps for neurodisability. He actively disseminates research via Twitter (@DanielGucciardi) and his personal website.

Yevgen Biletskiyمشاهده پروفایل

استاد

• Knowledge-Based Systems
• Artificial Intelligence
• Semantic Web
• +۳ مورد دیگر

Yevgen Biletskiy is a Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), Fredericton. His academic roles include serving as Co-Director of the RuleML Initiative and Program Co-Chair of RuleML-2007. He holds a Ph.D. and is a licensed Professional Engineer (P.Eng.) in New Brunswick. His teaching spans graduate and undergraduate courses in software engineering, digital systems, and power electronics, including EE 6263 (Knowledge Representation for Software Engineering) and EE 6213 (Advanced Digital Systems). Research Interests: His work focuses on Knowledge-Based Systems , Artificial Intelligence , Semantic Web , Information Extraction , FPGA-based Design , and Renewable Energy . He has supervised over 40 graduate and undergraduate students, including 3 active PhD candidates, 1 completed PhD, 9 Masters, and 30+ research-based Bachelors. Publications: Over 100 peer-reviewed articles, including recent contributions on smart grid optimization, fault diagnosis in power electronics, and ontology-driven systems. Notable works include frameworks for semantic interoperability, rule-based learning systems, and FPGA applications. Professional Activities: Served as a reviewer for NSERC grants, IEEE journals (e.g., TKDE, TE), and conferences (CDC, WTAS). He has chaired tracks at international conferences and contributed to industry partnerships through consulting roles with firms like Netsphare Solutions and Vox Interactif. Labs/Teams: Active in UNB’s research initiatives involving power systems, semantic web technologies, and e-learning systems. His lab collaborates on projects like SEMESIS (semantic search systems) and advanced manufacturing post-processing techniques.

Jonas Fritzschمشاهده پروفایل

مدرس

• Software Architecture
• Microservices
• Software Quality Assurance
• +۵ مورد دیگر

Jonas Fritzsch is a Lecturer and Research Associate at the University of Stuttgart's Institute of Software Engineering (ISTE), specifically within the Empirical Software Engineering (ESE) department. He holds a postdoctoral position and focuses on advancing software architecture, microservices, and quality assurance methodologies. His research emphasizes modernizing monolithic applications through architectural refactoring and evaluating cloud-native systems' impacts on software quality. His work spans empirical studies on industry practices—such as challenges in microservices evolvability and résumé-driven development—as well as formal verification techniques for safety-critical systems. Dr. Fritzsch leads the Team Fritzsch , contributing to both academic publications and industrial collaboration. Key areas of exploration include: Migrating monolithic architectures to microservices with a focus on quality-driven methodologies Assessing software quality in cloud-native and DevOps environments Empirical investigations into developer behaviors and tool usability His advisory work includes guiding over 20 students in theses and projects, covering topics like LLM-powered paper discovery, refactoring tools, and microservices adoption in cyber-physical systems. Notable contributions include defining résumé-driven development and developing systematic approaches for microservice migration. His research bridges theoretical advancements with practical industry applications, emphasizing empirical validation and tool support.

Kallol Settمشاهده پروفایل

دانشیار

• Risk and Reliability
• Civil Infrastructure
• Extreme Events
• +۵ مورد دیگر

Kallol Sett is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (SUNY), within the School of Engineering and Applied Sciences. His research focuses on risk and reliability analysis of civil infrastructure under extreme events, with expertise in uncertainty quantification, multi-hazard resilience, and geomechanics. He leads the Risk and Reliability Research Group, which develops computational tools integrating physics-based and data-driven modeling, stochastic calculus, and high-performance computing. Education includes a PhD from the University of California, Davis (2007), an MS from the University of Houston (2003), and a BE from Jadavpur University (1997). His work is funded by NASA, NSF, USDOT, NIST, and industry partners. Key research themes include probabilistic geotechnical site characterization, stochastic simulation of seismic ground motion, and life-cycle cost-benefit analysis of infrastructure systems. Advising includes mentoring over 10 PhD and MS students, with notable alumni now in academia and industry roles such as Assistant Professors at Embry-Riddle Aeronautical University and Tianjin University. His lab’s recent studies address real-time decision support systems for hurricane-impacted infrastructure, resilience deficit indices, and multi-hazard financial risk assessment of integrated infrastructure systems.

• Circular Economy
• Higher Education Institutions
• Entrepreneurship
• +۴ مورد دیگر

Olubunmi Ajala is a Lecturer at the School of Economics, Finance and Accounting at Coventry University. His research focuses on Circular Economy transitions, entrepreneurship, innovation, and environmental policy in African contexts. He has collaborated extensively on projects addressing plastic waste management, digital technology applications, and university-driven innovation ecosystems. Key research interests include: Circular Economy practices in Nigerian universities and industries Entrepreneurship development in higher education institutions Digital tools for sustainable governance and trade Policy frameworks for environmental action in Sub-Saharan Africa His publications analyze socio-cultural influences on AI adoption in education, predictive modelling for trade governance, and business networks in informal sectors. Recent work emphasizes participatory frameworks for plastic economy transitions and digitally-enabled circular business models. Research collaborations involve institutions across Africa and international partners, with a focus on translating academic insights into actionable policies and innovations. His work bridges economic systems analysis with grassroots implementation challenges in developing regions.

Sheila Grantمشاهده پروفایل

استاد

• Biomaterials
• Diagnostic Sensors/Biosensors
• Micro and Nano-Fabrication Techniques
• +۵ مورد دیگر

Sheila Grant is a Professor in the Department of Chemical and Biomedical Engineering at the University of Missouri, affiliated with the College of Engineering. She holds leadership roles as Executive Director of Mizzou TecHub and has extensive research experience, including post-doctoral research at Lawrence Livermore National Laboratory. Her expertise spans biomaterials, diagnostic sensors, and nano-fabrication techniques. She earned her PhD, MS, and BS in Materials and Biomedical Engineering from Iowa State University. Her research focuses on advanced biomaterials for tissue engineering, nanotechnology applications in healthcare, and AI-driven materials discovery. Notable projects include a $1.87M grant for AI/ML in materials development and NSF-funded initiatives in food safety and water management. She has founded multiple high-tech ventures and holds patents in biomaterials and sensors. Grant has received prestigious awards, including Fellowships from the National Academy of Inventors, Biomedical Engineering Society, and the American Institute for Medical and Biological Engineering. Her work emphasizes interdisciplinary collaboration, bridging engineering and medicine to address global challenges in healthcare and sustainability. Grants: NSF, NIH, USDA, Army, and industrial partnerships. Labs/Teams: Mizzou TecHub, MU Materials Science & Engineering Institute. Future Work: Expanding AI-driven materials research, clinical translation of nanocomposites, and sustainable biomedical solutions.

Laurie Kingمشاهده پروفایل

استاد

• Electrocatalysis
• Electrochemical Storage
• Sustainable Energy Technologies
• +۵ مورد دیگر

Professor Laurie King is a Material Chemist at Manchester Metropolitan University, specializing in electrocatalysis and sustainable energy technologies. Her research focuses on developing novel materials for clean energy applications, including fuel cells, electrolysers, and CO2 reduction systems. She leads a collaborative group engaging with theorists, microscopists, and engineers. Her work emphasizes catalyst design, nanomaterial synthesis, and electrochemical characterisation. Research Interests: Electrocatalysis and photoelectrochemistry Water splitting, CO2 reduction, and groundwater remediation Energy storage/conversion technologies Nano-material synthesis and characterisation Professional Impact: Advisor to UK Parliament on hydrogen fuel cells and net-zero transport Peer reviewer for Nature , ACS Catalysis , and EPSRC Committee member of the UK Catalysis Hub and Royal Society of Chemistry Teaching: Undergraduate/MSc courses on energy materials, solar cells, and physical chemistry Supervisor for MRes/PhD students and summer researchers Labs & Collaborations: Works with industrial partners and academic networks like the Henry Royce Institute and APPCCG.

Fletcher Hallidayمشاهده پروفایل

استادیار

• Disease Ecology
• Plant Pathology
• Biodiversity
• +۴ مورد دیگر

Fletcher Halliday is an Assistant Professor at the Department of Botany and Plant Pathology at Oregon State University, where he leads the Disease Ecology and Diversity Lab . His research focuses on understanding the interplay between host-pathogen communities, climate change, and land-use impacts on disease risk. Primary affiliation: Oregon State University Research lab: Disease Ecology and Diversity Lab Dr. Halliday's work explores how biodiversity moderates disease dynamics, with studies on fungal epidemics, coinfection interactions, and trait-based susceptibility in plant systems. His research spans elevational gradients, successional ecosystems, and climate manipulation experiments to uncover patterns in pathogen distribution and community assembly. Recent publications highlight trends in biodiversity-disease relationships, climate change effects on herbivory and infection, and multiscale ecological interactions. Articles from 2020–2025 emphasize meta-analytic frameworks, priority effects in parasite assembly, and the role of functional traits in disease risk prediction. The Disease Ecology and Diversity Lab investigates disease risk in complex ecological systems, prioritizing integrative approaches to pathogen community structure and climate-driven changes in host-parasite interactions.

Jack Montgomeryمشاهده پروفایل

دانشیار

• Geotechnical Earthquake Engineering
• Landslides
• Dam Engineering
• +۴ مورد دیگر

Jack Montgomery is an Associate Professor of Civil and Environmental Engineering at Auburn University's College of Engineering, specializing in Geotechnical Engineering. He holds a Ph.D., M.S., and B.S. in Civil Engineering from the University of California-Davis and California Polytechnic State University. His research focuses on Geotechnical Earthquake Engineering, Landslides, Dam Engineering, Sinkholes, and Advanced Site Characterization. He has received the prestigious NSF CAREER award for his work on piping mechanisms in unsaturated soils. His projects include developing landslide warning systems for Alabama highways, studying liquefaction effects in earthquakes, and integrating geophysics into infrastructure assessments. He collaborates with agencies like ALDOT and the U.S. Nuclear Regulatory Commission on critical infrastructure resilience. His lab work includes centrifuge modeling, geotechnical reconnaissance, and advanced numerical simulations. Education: Ph.D. Civil Engineering, University of California-Davis M.S. Civil Engineering, University of California-Davis B.S. Civil Engineering, California Polytechnic State University Research emphasizes landslide prediction, dam stability, and seismic risk mitigation. Recent efforts include machine learning applications for foundation design and sinkhole tracking via media reports. Key Awards: NSF Faculty Early Career Development (CAREER) Program Award Advising and Grants: Collaborates with federal agencies on $1M NRC-funded advanced nuclear reactor research and leads Auburn’s geotechnical engineering outreach. His work appears in 20+ peer-reviewed articles and field investigations. Labs/Teams: Active in Auburn’s Advanced Structural Engineering Lab and Highway Research Center, contributing to Alabama’s transportation infrastructure resilience.

Azizur Rahmanمشاهده پروفایل

استاد

• Data Science
• AI and Machine Learning
• Statistics
• +۷ مورد دیگر

Professor Azizur Rahman is a leading academic in applied statistics and data science at Charles Sturt University (Australia), where he leads the Data Mining Research Group and directs the Data Analytics Lab. He holds a PhD in Economics and Applied Statistics from the University of Canberra, with postdoctoral experience at the University of Adelaide. His expertise spans statistical methodologies, microsimulation, AI/ML, and data-driven policy analysis. He has attracted over $4.03M in research funding and published over 200 scholarly works. Education: BSc (Honours) in Statistical Science, University of Chittagong (2000) MSc (Thesis) in Biostatistics, University of Chittagong (2003) PhD in Economics and Applied Statistics, University of Canberra (2010) Research Focus: Big data analytics and AI applications in health, environment, and policy Bayesian inference and multilevel modeling Spatial microsimulation for socioeconomic analysis Water quality modeling and environmental systems Public health challenges in developing nations Key Contributions: Developed novel computational methods for microsimulation modeling Founder of the Data Analytics Lab at CSU Editorial roles in journals like PLOS ONE and International Journal of Microsimulation Recipient of 2023 ANZRSAI Outstanding Service Award and Charles Sturt Excellence Awards Grants & Awards: $4.03M+ external research funding secured 30+ awards including travel grants, fellowships, and service recognitions Advising & Mentorship: Supervised 6 PhD/DIT students and co-supervised many more. Active in mentoring early-career researchers through editorial boards and conference organizing roles. Labs & Collaborations: Leads DaMRG (Data Mining Research Group) and collaborates with global institutions on interdisciplinary projects involving AI/ML, environmental science, and public health.

Munir Nazzalمشاهده پروفایل

استاد

• Transportation Engineering
• Civil Engineering
• Pavement Engineering
• +۴ مورد دیگر

Dr. Munir Nazzal is a Professor of Civil Engineering and Director of the Center for Smart, Sustainable & Resilient Infrastructure (CSSRI) at the University of Cincinnati. His research focuses on sustainable transportation infrastructure, pavement engineering, and innovative materials technology. He leads over $13M in grants from federal and state agencies, specializing in asphalt mixtures, pavement performance, and smart infrastructure. He serves as Principal Investigator (PI) on numerous projects, including optimizing maintenance equipment tracking, evaluating micro-surfacing bond strength, and developing AI-driven pothole detection systems. Nazzal is an editor for the ASCE Journal of Materials in Civil Engineering and Buildings Journal, and a licensed professional engineer in Ohio and Louisiana. His work integrates emerging technologies like IoT and autonomous vehicles for infrastructure monitoring. Key contributions include field validation of robotic crack sealing, analysis of aramid fibers in asphalt, and lifecycle cost studies of winter pothole patching methods. His research emphasizes cost-effective, environmentally friendly solutions for local and state transportation systems. Recent grants include a $600,000 federal project for district highway maintenance research, and a $1.2M study on robotic crack sealing methods. He collaborates with industry partners like Honda on vehicle-based roadway data pilots. Nazzal's lab explores nanoscale asphalt properties, thermal expansion effects, and recycled material utilization in pavements.

Yann-Gaël Guéhéneucمشاهده پروفایل

استاد

• Software Engineering
• IoT Systems
• Static and Dynamic Analyses
• +۴ مورد دیگر

Yann-Gaël Guéhéneuc is a Professor at Concordia University's Department of Computer Science and Software Engineering. He leads the Ptidej Team, focusing on software engineering methodologies, IoT systems, and game engine architecture analysis. His research emphasizes static/dynamic analyses, service-oriented architectures, and machine learning design patterns. Current Affiliations: Concordia University (Full-time Professor) Ptidiej Team Lead Research Interests: Specializes in IoT system testing, microservices architecture, game engine design patterns, and anti-pattern detection in multi-language systems. His work bridges theoretical software engineering principles with practical industrial applications, particularly in legacy system modernization and machine learning system design. Recent Trends in Publications: Focuses on IoT testing methodologies, machine learning architecture patterns, and service-oriented system transformations. His 2025 works advance IoT system taxonomy and game engine analysis techniques. Advising: Supervises MASc and PhD programs in Software Engineering and Computer Science Labs/Teams: Ptidej Team develops software tools for system analysis (e.g., Magnet, SyDRA)