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Dr. Thomas Parkinson is a Lecturer at The University of Sydney and Deputy Director of the IEQ Lab within the School of Architecture, Design and Planning. His research focuses on high-performance buildings, indoor environmental quality (IEQ), and human thermal physiology. He holds a PhD in Architectural Science from The University of Sydney and has led technical development of the SAMBA IEQ Monitoring System. He previously worked at the Center for the Built Environment at UC Berkeley. Education: BEnvMgt, BSc(Hons1), PhD in Architectural Science (University of Sydney). Research interests include thermal comfort dynamics, sensor technology for built environments, and adaptive comfort models. Key contributions include the ASHRAE Global Thermal Comfort Database II and studies on workplace dissatisfaction in 600 office buildings. Awards: 2022 Ralph G. Nevins Award (ASHRAE) for thermal comfort research, 2018 Best Paper Award (Building and Environment). He reviews for journals like Building and Environment and serves on ASHRAE Technical Committees. Teaching: Courses include BADP1001 Empirical Thinking and DESC9067 Mechanical Services. Current advisee: Sepideh Borghei (PhD project on indoor greenery's impact). Affiliations: Lawrence Berkeley National Laboratory, UC Berkeley's Center for the Built Environment. Active in ASHRAE committees and professional networks.

• Indoor Environmental Quality (IEQ)
• Thermal Comfort
• Building Science
• +4 more

Associate Professor Margaret Grose is an academic at the University of Melbourne's Melbourne School of Design, specialising in Landscape Architecture. She holds an Associate Professorship and teaches ecological design principles in the Masters of Landscape Architecture and Bachelor of Environments programs. Her work bridges design and ecological science, with a focus on urban ecosystems, water management, and cultural landscapes. Education: Grose began in Agricultural Science (soils/water processes), completed a PhD in ecophysiology of Australian plants, followed by postdoctoral research at Oxford University and the University of Cambridge’s Mathematical Biology group. She later trained in Landscape Architecture and practiced as an environmental scientist in urban design projects. Research interests include integrating ecological science into design, the role of historical ecological knowledge in contemporary design, and urban water systems. Her recent Universitas 21 Fellowship explores teaching ecology to built environment students globally. Publications span topics like urban forestry in China, dryland river parks, and impacts of artificial light on ecosystems. She has received the 2011 Faculty Teaching Award for Excellence in the Masters program. Supervision focuses on river design, urban waterways, ecological planting resilience, and design of public spaces in Mediterranean climates. She collaborates on interdisciplinary projects combining ecology, urban planning, and cultural heritage.

• Ecological Design
• Urban Ecology
• Sustainable Landscapes
• +4 more

Associate Professor Jason Thompson holds an Associate Professor position in the Department of Psychiatry at the University of Melbourne. He is affiliated with the Faculty of Medicine, Dentistry and Health Sciences and previously served as Co-Director of the Transport, Health and Urban Systems (THUS) Research Laboratory at the Melbourne School of Design. He earned a PhD in Medicine (2015) from Deakin University, a Master's in Clinical Psychology, and a Bachelor of Science with Honours. His research focuses on computational social science applied to injury rehabilitation, compensation systems, and healthcare design. He has attracted over $5M in research funding and published over 100 articles. Key areas include agent-based modeling, systems dynamics, and policy analysis for public health challenges such as pandemic response and urban mobility. Thompson currently leads the NHMRC Centre of Excellence in Compensable Injury after Road Crashes. Grants: ARC Future Fellowship (2022), DECRA (2017) Awards: Best Paper Award (Computational Social Science Society of the Americas, 2017) Labs: THUS Research Lab (until 2024) His work bridges epidemiological modeling (e.g., influencing Victoria's 2020 pandemic exit strategy) and complex systems analysis for injury prevention and health system design.

• Computational Social Science
• Public Health
• Injury Prevention
• +4 more

Rajeev Sahay is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering. He holds a Ph.D. and M.S. from Purdue University (2022 and 2021) and a B.S. from the University of Utah (2018). Prior to UCSD, he worked as a Senior Machine Learning Software Engineer at Saab, Inc., and taught courses at Purdue, earning the Purdue Engineering Dean’s Teaching Fellow award in 2021. His research bridges machine learning and networking, focusing on social learning networks (SLNs) for personalized education and robust wireless communications in adversarial environments. Key areas include federated learning for privacy preservation, adversarial attack mitigation, and next-generation 6G wireless systems. His work emphasizes data-driven methodologies to enhance learning outcomes and secure communication networks against vulnerabilities. Dr. Sahay’s teaching spans undergraduate and graduate courses in machine learning, data science, and programming languages (C/C++/Python), with a passion for tailoring curricula to student needs. His publications reflect expertise in federated learning, adversarial defense mechanisms, and signal processing, with recent contributions to AI-assisted education and robust wireless systems. Scientific Awards: Purdue Engineering Dean’s Teaching Fellow (2021) Teaching and Research Interests: Machine Learning Pedagogy Adversarial Robustness in ML Systems Federated Learning Applications Social Learning Network Analysis 6G Wireless Communication Security

• Machine Learning
• Wireless Communications
• Networking
• +4 more

James Reynolds is an Assistant Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University, affiliated with the iBionicS Lab. His work focuses on developing innovative sensor technologies for plant and animal health monitoring, including bioimpedance-based systems and implantable devices. His research explores interdisciplinary applications such as drought stress detection in plants, wearable ECG systems for poultry, and subcutaneous sensors for real-time animal physiology tracking. Key projects include injectable microchips for animal health monitoring and bioimpedance techniques for rapid plant stress identification. Recent trends in his publications highlight advancements in agricultural technology and biomedical engineering, with a emphasis on precision agriculture, sensor integration, and multimodal physiological monitoring. His work bridges electrical engineering, plant science, and veterinary medicine to address challenges in environmental sustainability and animal welfare. Labs and teams: Active contributor to the iBionicS Lab at NC State, focusing on bionic systems and interdisciplinary sensor development.

• Biomedical Engineering
• Agricultural Technology
• Sensors and Instrumentation
• +3 more

Sandeep Kumar is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University, College Station. He holds a PhD in Computer Science from Purdue University (1995) and a B.Tech in Electrical Engineering from the Indian Institute of Technology, New Delhi (1985). His research focuses on computer security, networking, and system-level programming. Prior to academia, he worked in industry roles including at VMware in Palo Alto, CA. He currently teaches courses such as CSCE 313 (Introduction to Computer Systems) and CSCE 222 (Discrete Mathematics), emphasizing system software, networking, and cybersecurity. His teaching philosophy incorporates modern tools like GCP and Docker for practical learning. He advises students on technical projects but notes his non-tenure track role limits formal research supervision. Professional interests include curriculum design, educational technology, and bridging industry-academia gaps in cybersecurity. Education: Ph.D., Computer Science, Purdue University, 1995 M.S., Computer Science, University of Tennessee, 1987 B.Tech, Electrical Engineering, IIT Delhi, 1985 Research Interests: Computer Security, Networking, Operating Systems Teaching: CSCE 313 (Computer Systems), CSCE 222 (Discrete Math), CSCE 111 (Java Programming) Industry Experience: VMware (Networking & Security), Former Googler Awards: Hagler Fellow (2023), Google GCP Educational Grants Dr. Kumar’s work emphasizes practical system-level programming and security, with contributions to intrusion detection systems and secure enterprise networks. His courses integrate modern tools like RustRover and Docker, reflecting industry standards. He actively engages with educational technology, including LaTeX-based lecture materials and Gradescope integration.

• Computer Security
• Computer Networking
• Operating Systems
• +3 more

Dr. Jonathan B. Clayton is an Assistant Professor in the Department of Biology at the University of Nebraska Omaha and holds cross-appointments at the University of Nebraska-Lincoln (Department of Food Science and Technology) and the University of Nebraska Medical Center (Department of Pathology and Microbiology). He holds a D.V.M. and Ph.D. in Comparative and Molecular Biosciences from the University of Minnesota. His work focuses on host-microbiome interactions in humans and nonhuman primates, particularly exploring how dietary fiber, lifestyle, and environmental factors influence gut microbiome composition and metabolic health. He founded the Primate Microbiome Project (PMP) to map microbiome variation across all primates, linking it to health, evolution, and conservation. Research Interests include microbiome modulations of metabolic diseases (diabetes, obesity) and neurological disorders (stress), using in vitro/in vivo models like germ-free mice and marmosets. His methodologies involve next-generation sequencing, anaerobic culture, and marmoset models. Clayton is affiliated with the Callitrichid Research Center and GreenViet Biodiversity Conservation Center, emphasizing translational research and conservation applications. Teaching focuses on Microbiology and Microbial Ecology. His lab (Clayton Lab) investigates causal mechanisms of microbiome-related diseases and has published extensively on gut microbiome dynamics in captive and wild primates. Recent work highlights antibiotic impacts on gut-brain axis interactions and conservation implications of microbiome diversity.

• Microbiology
• Microbial Ecology
• Host-Microbiome Interactions
• +4 more

Angelo Cervone is a Professor at Delft University of Technology's Department of Astrodynamics & Space Missions within the Faculty of Aerospace Engineering. His research focuses on advanced propulsion systems, CubeSat technology, additive manufacturing for space applications, and space systems design. He leads projects like LUMIO, a CubeSat mission to monitor lunar meteoroid impacts, and has contributed to the development of green propellants and smart composite structures with embedded sensors. His work integrates cutting-edge manufacturing techniques like laser powder directed energy deposition with propulsion system optimization, emphasizing sustainable and robust space technologies. Cervone has authored over 130 publications and edited the book Adaptive On- and Off-Earth Environments , reflecting his expertise in off-world infrastructure and robotic production systems. He received the Rhizome Award (2021) for advancing autarkic systems in off-Earth habitat development. Key Projects: LUMIO CubeSat mission, Rhizome habitat system development, smart propellant tank design Research Themes: CubeSat propulsion, lunar exploration, additive manufacturing for space, in-situ resource utilization His articles highlight advancements in micro-thrusters, structural health monitoring via fiber optics, and autonomous navigation systems for deep-space CubeSats. Cervone collaborates globally on missions requiring innovative propulsion architectures and materials science breakthroughs.

• Astrodynamics
• Space Propulsion Systems
• CubeSat Technology
• +3 more

Roles and Affiliations: Fred Espen Benth is a Professor in the Department of Mathematics at the University of Oslo, affiliated with the Risk and Stochastics research group. He holds a Dr. scient (PhD equivalent) in mathematics from the University of Oslo (1995). His academic journey includes roles as a researcher at the Norwegian Computing Center, a postdoc at the Universities of Aarhus and Oslo, and an Associate Professor at the University of Trondheim before becoming a full professor in 2002. Research Interests: Benth’s research focuses on mathematical finance, particularly energy and weather markets, commodity derivatives, and stochastic analysis. He explores modeling, estimation, and simulation of spot and forward prices, as well as pricing options and portfolio optimization. Recent work extends to climate systems, energy transition dynamics, and machine learning applications in financial and environmental modeling. Publications and Projects: His extensive publication record includes over 150 journal articles and book chapters, with a focus on energy markets, stochastic processes, and climate-related financial instruments. Notable projects include ‘Spatial-Temporal Uncertainty in Energy Systems (SPATUS)’ and contributions to interdisciplinary energy informatics. His work bridges theoretical stochastic analysis with practical applications in energy systems and risk management. Labs and Collaborations: Benth collaborates with the Stochastics of Renewable Energy Markets (STORE) group and contributes to initiatives like the ‘Computational Modelling and Machine Learning for Applications in Hydropower’ project. His research emphasizes the integration of stochastic methods with real-world energy and climate challenges.

• Mathematical Finance
• Energy Markets
• Insurance
• +4 more

Michael Drescher is an Associate Professor at the University of Waterloo, with an affiliation to the Vincent and Elinor Ostrom Workshop in Political Theory and Policy Analysis at Indiana University. He holds a Ph.D. in Ecology and Resource Conservation from Wageningen University (2003) and an MSc in Ecology from Utrecht University (1998). His research focuses on environmental conservation, socio-economic dynamics, and climate change adaptation, with a particular emphasis on private landowner behavior, urban ecosystems, and green infrastructure. Key research grants include the 'Residential Development Impact Scorecard for the Environment' (RISE) as Project Director, and studies on barriers to adopting environmental best practices in Ontario agriculture. He has secured funding from agencies like SSHRC, Mitacs, and the Ontario Ministry of Agriculture. His awards include a NOW-WOTRO Dissertation Fellowship (2003) and a Marie Curie Graduate Fellowship (2003). Drescher teaches courses such as Landscape Ecology, Canadian Environmental Policy, and Rural Development Planning. His work bridges ecological science, policy, and community engagement to address complex environmental challenges.

• Environmental Conservation
• Natural Resource Management
• Land Use Change
• +7 more

Kenan Li, Ph.D., is an Associate Professor in the Department of Epidemiology and Biostatistics at Saint Louis University’s College for Public Health and Social Justice. He joined SLU in August 2022 and teaches courses such as Statistical Learning, R for Spatial Analysis, and Environmental Determinants of Health. His research bridges data science, GIS, and public health, focusing on spatial computation, environmental exposures, and community resilience. Ph.D. in Environmental Sciences, Louisiana State University M.S. in Environmental Sciences, Louisiana State University B.S. in Environmental Sciences and Applied Mathematics, Nankai University, China Dr. Li’s research interests lie at the intersection of spatial computation, environmental health, and community resilience . He develops geo-AI frameworks , integrated geo-cyber-infrastructures , and biostatistics algorithms using big data, deep learning, and sensor data. His work emphasizes understanding human-environment interactions, urban sustainability, and health disparities. His recent publications from 2023 to 2015 reveal a strong trend in spatial modeling of population dynamics , machine learning for environmental exposure analysis , and resilience assessment in vulnerable coastal regions. He has pioneered methods like Dynamic Time Warping Self-Organizing Maps and Wavelet-based Shapelet Discovery to extract meaningful patterns from high-frequency sensor data. His scientific awards include the Taylor Geospatial Institute Seed Grant (2023) , the Saint Louis University 2023 Health Research Grant , and selection for the Scholarly Undergraduate Research Grants and Experiences . He has secured funding from NSF, NIH, USC Keck School of Medicine, and the US Army Corps of Engineers. Dr. Li has advised and collaborated on numerous research projects, particularly in interdisciplinary teams studying the Mississippi River Delta and urban health interventions. He has been involved in NIH/NIBIB-funded projects and led research on emergency management of trail systems in Los Angeles County. He is actively involved in building research labs and teams focused on spatial data science and public health analytics , having previously worked at USC’s Spatial Sciences Institute and Population and Public Health Sciences Department.

• Spatial Computation
• Environmental Health
• Community Resilience
• +12 more

Prof. Aswin Gnanaskandan is an Assistant Professor in the Department of Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI), where he joined in August 2020. He directs the Computational Multiphase Transport Laboratory, focusing on developing high-fidelity models for multiphase flows with applications in engineering and biomedical fields. His research is funded by NSF, Office of Naval Research, NIH, and the Center for Advanced Research in Drying. Education: PhD, Aerospace Engineering & Mechanics, University of Minnesota (2015) MS, Aerospace Engineering & Mechanics, University of Minnesota (2012) BS, Aeronautical Engineering, Madras Institute of Technology (2006) Research Interests: Computational Fluid Dynamics (CFD), Multiphase Flow Modeling, Biomedical Acoustics, High-Performance Computing, and applications in underwater transportation, propulsion, and biomedical acoustics. His work bridges fundamental fluid mechanics with real-world challenges in energy, health, and environmental systems. Recent Research Trends: His articles focus on microbubble-enhanced ultrasound therapy, cavitation dynamics in propulsion systems, and multiphase flow modeling across scales. Key themes include improving thermal ablation precision in medical treatments and optimizing industrial processes like spray drying through advanced numerical techniques. Awards: Excellence in Research Award (WPI, 2024) NSF Engineering Research Initiation Award (2023) James Nichols Heald Research Award (WPI, 2022) Teaching & Advising: Teaches undergraduate/graduate courses in Fluid Mechanics, Thermodynamics, and Numerical Methods. Advises multiple Major Qualifying Projects and fosters interdisciplinary collaboration through lab activities. His lab actively engages with industry and academic partners on projects like HIFU therapy and sustainable energy solutions. Labs & Teams: Leads the Computational Multiphase Transport Lab, which collaborates on projects involving CFD solver development (MFC 5.0), exascale computing, and biomedical acoustics. Aligns research with UN Sustainable Development Goals (SDG 7, 9, 13).

• Computational Fluid Dynamics
• Multiphase Flows
• Biomedical Acoustics
• +3 more

Stephen J. Kmiotek is a Chemical Engineering Professor of Practice at Worcester Polytechnic Institute (WPI). He holds BS, MS, and PhD degrees in Chemical Engineering from WPI (1980, 1982, 1986). His career spans 30+ years in chemical and environmental industries, focusing on Chemical Process Safety, Air Pollution Engineering, and Environmental Health & Safety Management. He integrates legal regulations and technical standards into multidisciplinary engineering practices, collaborating with engineers and attorneys across diverse industries like chemical manufacturing, electronics, pulp/paper, and metal foundries. Research Interests: Chemical Process Safety Management Air Pollution Control Strategies Regulatory Compliance Frameworks Industrial Hazard Mitigation His scholarly work includes studies on hazardous pollutant emissions modeling, catalyst deactivation, and zeolite sorption processes. While not actively leading a graduate research program, he advises numerous MQP projects with local industry partnerships. Media highlights include contributions to WPI’s explosion protection engineering program and features in International Fire Protection Magazine and Dust Safety Science .

• Chemical Process Safety Management
• Air Pollution Engineering
• Environmental Health and Safety
• +3 more

Professor Tak-Wah Lam is a leading academic at the University of Hong Kong (HKU), serving as Deputy Director of the School of Computing & Data Science and former Head of the Computer Science Department (2018–2023). He joined HKU in 1988 after earning his PhD in Computer Science from the University of Washington. His research spans algorithm design, bioinformatics, and big data analytics, with a focus on applications in health informatics and genomics. He has published over 200 articles, including influential work on bioinformatics software like MEGAHIT and Clair3. He is a Charivate Highly Cited Researcher (2017) and has received multiple grants, including ITF-funded projects totaling over HKD 33 million for research in genomic databases, AI-driven RegTech, and bioinformatics solutions for clinical genetics. Education: BSc from The Chinese University of Hong Kong (CUHK), MS and PhD from the University of Washington. Research interests include algorithms, bioinformatics, and big data analytics. His work bridges theoretical computer science with practical applications in healthcare, such as developing tools for variant calling, genome assembly, and disease risk prediction. He co-founded a startup in 2014 to advance bioinformatics software for clinical DNA sequencing. Key grants include: ITF Tier-2 Project (2021–2023): HKD 7 million for automated karyotype analysis ITF Tier-2 Project (2019–2021): HKD 5 million for AI-driven RegTech ITF Tier-2 Project (2015–2020): HKD 7.6 million for precision medicine genomic databases He is also recognized for teaching excellence, having received awards from HKU's Faculty of Engineering and the Department of Computer Science.

• Algorithms
• Bioinformatics
• Big Data Analytics
• +3 more

Andrew L. Goodman, PhD, is the C.N.H. Long Professor and Chair of the Department of Microbial Pathogenesis at Yale School of Medicine. He is also Director of the Yale Microbial Sciences Institute. His research focuses on understanding how gut microbes influence human health, particularly in drug metabolism, host-pathogen interactions, and microbiome ecology. Goodman earned his BA in Ecology and Evolutionary Biology from Princeton University, his PhD in Microbiology from Harvard University, and completed postdoctoral training at Washington University. His lab develops innovative tools such as transposon insertion sequencing (INSeq) and personalized microbiota culture collections. Key contributions include discovering microbiome-driven drug metabolism pathways, mechanisms of bacterial resilience during infection, and bacterial competition strategies. His work has been recognized with awards including the NIH Director’s New Innovator Award and the Presidential Early Career Award in Science and Engineering. Recent research highlights include studies on GPCR-targeted drug modulation by gut microbes (2025), protein-folding mechanisms in bacterial competition (2025), and microbiome responses to time-restricted feeding (2023). Goodman collaborates with institutions like the Diabetes Research Center and Yale Cancer Center, advancing translational microbiome research. Awards: ASPET John J. Abel Award, HHMI Faculty Scholar, Pew Foundation Labs/Teams: Goodman Lab, Yale Microbial Sciences Institute Grants: NIH, Burroughs Wellcome Foundation, HHMI

• Microbial Pathogenesis
• Gut Microbiome
• Drug Metabolism
• +3 more