Michael Weiss is a Lecturer in the Department of Mathematics at the University of Michigan. He teaches foundational courses such as Linear Algebra (MATH 217) and Explorations in Euclidean Geometry (MATH 431). His office is located in East Hall (Room 1868) at 530 Church Street, Ann Arbor, MI. Current Courses: MATH 217-004 (Linear Algebra), MATH 217-011 (Linear Algebra), MATH 431-001 (Explorations in Euclidean Geometry) Weiss’s research focuses on mathematics education, particularly on pedagogical strategies for teaching geometry and mathematical reasoning. His work explores the use of visual representations, interactive technologies, and narrative tools (e.g., comics) to enhance learning and teacher development. He emphasizes the role of theory-building in secondary geometry instruction and investigates how students translate abstract mathematical concepts into concrete reasoning. His publications highlight interdisciplinary approaches to education, integrating technology (e.g., animated stories, voice assistants) with traditional teaching methods. Keywords across his work include Mathematics Education , Geometry , Interactive Media , Visual Learning , and Teacher Training . Contact: mweiss@umich.edu
Sandeep Kumar Mishra, PhD, is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, where he holds a primary appointment in the Magnetic Resonance Research Center within the Division of Bioimaging Sciences. He completed his doctoral training at Pondicherry University (2017) and finished post-doctoral research at Yale in 2024 before transitioning to his current research-intensive faculty role. Education: PhD, Pondicherry University – 2017 Post-doctoral Associate, Yale University – 2024 Research Focus: Mishra’s work integrates multinuclear magnetic resonance spectroscopy, responsive paramagnetic probes, and nano-constructs to quantify the tumor microenvironment. Major themes include in-vivo mapping of interstitial pH and sodium gradients in gliomas, development of Fe(II)/Co(II)/Ni(II)-DOTA tetraglycinate complexes for simultaneous pH–temperature sensing, and engineering dual-modal nano-agents that couple MR angiography with therapeutic delivery (chemo-photothermal, cryo-ablation, MMP inhibition). Publication Trends: Across 28 peer-reviewed articles (2016-2025) he demonstrates a sustained trajectory in cancer imaging, moving from theranostic nanoparticles toward sophisticated spectroscopic imaging of tumor acid–base and ionic homeostasis, with increasing translational orientation involving rodent glioma and hepatocellular carcinoma models. Collaborations & Affiliations: He is embedded in Yale’s inter-disciplinary MR research ecosystem, collaborating recurrently with faculty in Radiology, Biomedical Engineering, and the Magnetic Resonance Research Center (D. Coman, F. Hyder, P. Herman, J. Verhagen, J. Santana, A. Shewarega). Contact: sandeepkmishra11@gmail.com | Magnetic Resonance Research Center, 300 Cedar Street, New Haven, CT 06519, USA
Dr. Sumsun Naher is a Senior Lecturer in the Department of Engineering at City, University of London , where she has worked since 2013. Previously, she served as Lecturer and Research Development Officer at Dublin City University (2006–2013) and as Scientific Officer at Bangladesh Council of Scientific & Industrial Research (1998–2000). Her academic career includes a Post Graduate Diploma in Academic Practice from City, University of London. PhD , School of Mechanical & Manufacturing Engineering, Dublin City University MSc , Materials & Metallurgical Engineering, Bangladesh University of Engineering and Technology BSc , Materials & Metallurgical Engineering, Bangladesh University of Engineering and Technology Her research focuses on semi-solid processing , laser processing , simulation & modelling of materials technologies , and materials characterisation . Recent work explores cellulose nanofiber-based water filters for antibiotic removal and phase change materials in geothermal energy systems. Key article trends reveal expertise in: Laser Surface Modification of metals and composites Advanced Casting Methodologies and semi-solid metal forming Nanoparticle Reinforcement in metal matrix composites Thermal Modelling for energy systems Sustainable Material Solutions in water treatment and energy Computational Materials Science via finite element analysis Naher has received the DCU Invent Commercialisation Award (2011) and holds fellowships from IMechE , Institute of Materials, Minerals & Mining , and Advance Higher Education Authority . She actively reviews for funding bodies and examines PhD theses internationally. As an organiser of the ESAFORM Conference and co-organiser of its Additive Manufacturing symposium since 2017, she contributes to academic leadership. Her professional roles include Board of Directors for the European Association of Materials Forming and participation in EU COST Action projects (Thixoforming, Thixosteel, Nanostructured Materials).
Professor Alicia Rambaldi is Director of Research at the School of Economics, Faculty of Business, Economics and Law at the University of Queensland. She is also an Affiliate of the Centre for Efficiency and Productivity Analysis. Her academic career spans decades of research in econometric methodologies with applications to real-world economic problems. Professor Rambaldi's research interests focus on applied econometrics, time series econometrics, state-space models, and spatial time series models. She has made significant contributions to economic measurement, particularly in developing methodologies for computation of price indices for land and property, estimation with linked administrative data, and smoothing methodologies combining spatial and temporal information. Her work bridges theoretical econometrics with practical applications in housing markets, climate adaptation, and international economic comparisons. Her recent publications demonstrate a consistent focus on housing economics, with numerous papers on hedonic pricing models, property valuation, and the impact of environmental factors on real estate markets. She has also maintained a strong research program in international comparisons, purchasing power parity, and productivity analysis, often collaborating with leading researchers in these fields. Professor Rambaldi is actively involved in research supervision, currently advising on topics including language barriers faced by immigrants, distributive politics, and copula models. Her completed supervision includes significant work on purchasing power parities, development indexes, trade studies, and spatial analysis of tourism employment. Her current research projects include spatial time series models with applications to housing and land prices, transport demand modeling, and international comparisons. She has secured substantial funding from diverse sources including the Australian Research Council, Natural Hazards Research Australia, and government departments, demonstrating the applied relevance of her work. Professor Rambaldi leads an active research group within the Centre for Efficiency and Productivity Analysis, focusing on developing and applying advanced econometric techniques to address pressing economic measurement challenges. Her work often involves interdisciplinary collaboration with researchers in environmental science, urban planning, and transportation studies.
Jide Wintoki is the Dean of the School and Henry D. Price Professor of Business at the University of Kansas School of Business. Previously, he served as Associate Dean of Graduate Programs (2020-2025) and Area Director of Analytics, Information, and Operations (2019-2022). He has been a faculty member at KU since 2008, teaching in the Finance department where he focuses on Corporate Financial Policy, Business Investment, and International Finance courses at both undergraduate and graduate levels. Education: Ph.D. in Finance, Terry College of Business, University of Georgia B.S. in Electrical Engineering, University of Lagos Professor Wintoki's research focuses on corporate finance, international finance, corporate governance, and business analytics. His work examines insider trading patterns, board structures, foreign investment, and the relationship between innovation and housing markets. He has published in top-tier journals including Journal of Financial Economics, Management Science, Journal of Corporate Finance, and Journal of Banking & Finance. His publication record shows a consistent focus on corporate governance mechanisms, with recent work expanding into political bias in investment portfolios, tax havens, and the relationship between innovation and real estate markets. The research demonstrates strong methodological rigor with applications in both US and international contexts. Scientific Awards: JFQA High Impact Article in 2020 Guy O. and Rosa Lee Mabry Award for Best Paper in the KU School of Business (2017, 2012) Best Paper (Housing Category), 2012 American Real Estate Society Meeting Outstanding Paper in International Finance, Eastern Finance Association Meeting, 2014 Best Ph.D. Student Paper, 2006 Southern Finance Association Meeting Featured in The Harvard Law School Forum on Corporate Governance Top 1% in citations in Economics & Business (Web of Science) Professor Wintoki has served as a Visiting Financial Economist in the Division of Economic and Risk Analysis (DERA) of the U.S. Securities and Exchange Commission (S.E.C.). His industry experience includes positions at ExxonMobil, Procter & Gamble, and NLNG prior to his academic career. His research has received media coverage from major financial outlets including CNBC, Reuters, Wall Street Journal, Barrons, and Seeking Alpha.
Justin Gottschlich is an Adjunct Lecturer in the Computer Science Department at Stanford University, where he teaches the graduate course Machine Programming (CS 329M) . He also serves as Founder, CEO, and Chief Scientist of Merly Inc., a startup focused on machine programming systems to improve software development efficiency and quality. Previously, he led the Machine Programming Research group at Intel Labs, pioneering advancements in automating software development through a fusion of machine learning, programming languages, and systems research. His academic roles include prior positions as Adjunct Professor at University of Colorado-Boulder and Adjunct Assistant Professor at University of Pennsylvania. He has advised numerous graduate students across institutions, contributing to their research in machine programming and related fields. Gottschlich has authored dozens of research papers and holds multiple patents, with his work highlighted by prominent outlets like the Wall Street Journal and Communications of the ACM. He actively contributes to academic committees, including serving as Steering Committee Chair for the ACM SIGPLAN Machine Programming Symposium (MAPS). His research interests span machine programming, autonomous software development, formal methods, and the integration of AI into software engineering practices. Education: PhD in Computer Science from University of Colorado-Boulder Keynote Engagements: LADSIOS (2021), MIT DSAIL (2021), Penn PRECISE (2019) Labs/Teams: Intel Labs Machine Programming Research Group, Merly's R&D Team Grants & Funding: Extensive industry and academic research funding through Intel Labs and Merly
Matthew Carmona is Professor of Planning and Urban Design at The Bartlett School of Planning, University College London. With over 25 years of academic and professional experience in urban design governance, public space management, and design policy, he serves as Chair of the cross-sector Place Alliance and European Associate Editor for the Journal of Urban Design. His work bridges academic research with practical policy advising for governments worldwide. PhD, MA, BA in Planning (University of Nottingham) Bachelor of Architecture (University of Nottingham) Carmona's research focuses on design governance , public space stewardship , and the value of place quality . He examines informal tools for urban design regulation, financial mechanisms for sustainable development, and leadership models in public sector architecture. His recent book Urban Design Governance provides a European-wide analysis of soft power urbanism. His 2023-2025 publications reveal growing interest in design coding , equity in urban design , and leadership frameworks . Articles span from Coding Urban Design to Equity in Quality , emphasizing the intersection between urban aesthetics , policy implementation , and financial incentives .
Professor Jonna Kuntsi is a leading researcher in developmental disorders and neuropsychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she holds a professorship in the Social, Genetic & Developmental Psychiatry Centre. With extensive training including BSc, MSc, and PhD from University College London and clinical experience at Great Ormond Street Hospital for Children, she has established herself as a prominent figure in ADHD research globally. Her research primarily focuses on attention deficit hyperactivity disorder (ADHD) and related conditions, with particular expertise in neurodevelopmental disorders, remote measurement technology applications, developmental trajectories, preterm birth associations, and the effects of physical activity on cognition and ADHD symptoms. Professor Kuntsi has pioneered the ADHD Remote Technology (ART) research programme, securing substantial funding including £4 million from the UK Medical Research Council and European Commission for innovative projects like ART-transition and ART-CARMA. Her publication record demonstrates consistent high-impact research across multiple domains of ADHD investigation, with recent work emphasizing digital phenotyping, remote monitoring technologies, and the developmental aspects of ADHD across the lifespan. This research portfolio shows a clear trajectory toward increasingly sophisticated technological approaches to understanding and managing ADHD. Co-Chair of EUNETHYDIS - the European Network for ADHD Member of the European ADHD Guideline Group (EAGG) Principal Investigator in International Multi-centre Persistent ADHD Collaboration (IMpACT) Steering committee member of ECNP ADHD across the Lifespan Network Steering committee member of ECNP Digital Health Applied to Clinical Research Network Professor Kuntsi actively collaborates with patient support organizations including ADHD Europe and the UK ADHD Information and Support Service (ADDISS), and with technology companies like Empatica and The Hyve. She serves as Chair of the PhD Subcommittee across Departments of Social, Genetic & Developmental Psychiatry and Biostatistics & Health Informatics, demonstrating her commitment to mentoring the next generation of researchers while leading multiple international research networks that advance both scientific understanding and clinical practice in ADHD.
Qiwei Yao is a Professor of Statistics at the Department of Statistics, London School of Economics (LSE), where he maintains an active research program in statistical methodology and applications. His office is located in Columbia House, Room 7.16 at LSE's Houghton Street campus in London. Professor Yao's research focuses on statistical inference for complex time series, with particular expertise in high-dimensional time series, dynamic networks, spatio-temporal processes, functional time series, nonlinear time series, and high-frequency data. His work bridges theoretical statistics with practical applications, especially in financial econometrics. He has developed innovative methodologies for dimension reduction, factor modeling, and network analysis that have become influential in the field. His recent publications reveal a strong trend toward developing statistical methods for increasingly complex data structures, particularly focusing on high-dimensional and network-based time series. His work integrates machine learning techniques with traditional statistical approaches, as evidenced by papers on deep learning for Markov property testing and tensor decompositions for matrix time series. There's also a clear emphasis on privacy-preserving methods and differential privacy in network analysis. Professor Yao has secured substantial research funding through multiple EPSRC Programme Grants and Research Projects, including the EPSRC Programme Grant for 'Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)' and 'Network Stochastic Processes and Time Series (NeST)'. He also leads the EPSRC Research Project on 'Statistical Network Analysis: Model Selection, Differential Privacy, and Dynamic Structures' and has collaborated with industry partners like Andurand Capital Management on projects such as 'Forecasting Oil Prices Based on Quantitative Methods'. His research has significant applications across various domains, particularly in energy forecasting (electricity load prediction), financial modeling (volatility modeling, oil price forecasting), and ecological modeling (spatio-temporal population dynamics). Professor Yao maintains strong collaborative relationships with researchers across multiple institutions and disciplines.
Debanjan Mitra is the Voya Financial Fellow and Professor of Marketing at the University of Connecticut School of Business. His research focuses on consumer perception processes, innovation, and the development of metrics for organizations, products, and customers to evaluate their short-term and long-term impact. He employs analytical and econometric methods to study these effects across organizations, product categories, and brands. His educational background includes a Ph.D. in Business Administration (Marketing) from New York University (2004), a Post Graduate Diploma in Management (P.G.D.M.) from the Indian Institute of Management (1990), and a Bachelor of Technology (B.Tech.) from the Indian Institute of Technology (1988). Prior to his doctoral studies, he gained industry experience in marketing positions at Coca Cola and Diageo. Professor Mitra's research interests are multifaceted, covering Innovation, Consumer Perception, Quality Management, New Product Development, Marketing Analytics, Marketing Strategy, and Regulatory Marketing. His work in marketing analytics has provided insights into customer behavior and brand performance, while his research on regulatory marketing explores how firms navigate marketing regulations, particularly in financial markets. He has also made significant contributions to understanding quality from a customer perspective and its role in merger analysis. His publications appear in premier journals such as the Journal of Marketing, Journal of Marketing Research, Marketing Science, and Management Science. The trajectory of his recent work (from 2012 to 2021) shows a consistent focus on the interplay between marketing metrics, regulatory constraints, and innovation, with increasing emphasis on data-driven approaches to marketing strategy. Professor Mitra's scholarly contributions have been recognized with numerous awards: Marketing Science Institute Scholar American Marketing Association’s Varadarajan Award for Early Career Contributions to Marketing Strategy Research Harold H. Maynard Best Paper Award Excellence in Global Marketing Research Award Marketing Science Institute’s Robert D. Buzzell Award INFORMS’ John D. C. Little Award Finalist INFORMS’ Frank M. Bass Award Finalist Academy of Marketing Science’s Emerging Distinguished Scholar He has served as an Associate Editor for the Journal of Marketing and his research has received media coverage in The Wall Street Journal, The Financial Times, Business Week, Forbes, and CNN. Professor Mitra has consulted for many Fortune 500 firms and high-tech start-ups, applying his academic insights to real-world business challenges. In the classroom, he teaches graduate courses including 'Customer Insights', 'Brand Management', and 'Marketing Analytics', as well as PhD courses on 'Marketing Strategy Research' and 'Multivariate Analysis'. His industry experience and academic rigor provide a unique perspective for his students. At the University of Connecticut, Professor Mitra is a core faculty member in the Marketing department within the School of Business, where he continues to advance research in marketing strategy and analytics while mentoring the next generation of marketing scholars and practitioners.
Dr. Christian Zeman serves as a Lecturer at the Department of Environmental Systems Science, ETH Zurich, based at the Institute for Atmospheric and Climate Science (CHN N 17.1) in Zurich, Switzerland. His research focuses on high-resolution atmospheric modeling with emphasis on kilometer-scale climate simulations and deep convection processes. Zeman's work centers on advancing regional climate modeling capabilities through rigorous model verification techniques and convection-resolving simulations. His research addresses critical challenges in simulating complex phenomena like island-induced vortex streets, tropical climate dynamics, and the impacts of reduced floating-point precision on model accuracy. Key methodologies include ensemble-based statistical verification and systematic model calibration for improved predictive reliability. Analysis of his 2020-2025 publications reveals a consistent trajectory toward higher-resolution climate modeling, with significant contributions to model intercomparison frameworks and computational efficiency optimization. His research bridges theoretical atmospheric science with practical applications in regional climate projection, particularly for island systems and tropical regions. Zeman operates within Prof. Christoph Schär's research group at ETH Zurich, contributing to cutting-edge developments in the Consortium for Small-scale Modeling (COSMO) and Integrated Forecasting System (IFS) frameworks. His work supports ETH Zurich's leadership in high-resolution climate simulation and verification methodologies.
Yelva Roustan is a Lecturer at CEREA (joint laboratory between École Nationale des Ponts et Chaussées and EDF R&D) since 2005, specializing in air quality modeling . Her research focuses on multiscale modeling approaches, source-concentration relationships, and pollutant deposition processes. She teaches at the National School of Bridges and Roads, sharing knowledge from her research in atmospheric transport and environmental science. Her work addresses urban pollution challenges, including the impact of low-emission vehicles on air quality, urban tree effects, and pollutant dynamics in street networks. She has developed the MUNICH street-network model and contributed to projects like EURODELTA for multi-pollutant analysis across Europe. Her methods integrate data assimilation, inverse modeling, and Bayesian techniques to improve emission source reconstruction and model accuracy. Key contributions include studies on radioactive release scenarios (e.g., Fukushima, 106Ru event) and urban infrastructure impacts on pollution. Her research bridges atmospheric science with engineering solutions for sustainable urban environments. She holds a PhD in Environmental Engineering from École Nationale des Ponts et Chaussées (2005) and an HDR in Numerical Modeling of Atmospheric Pollutants (2020).
Gideon Spanjar is a Professor of Innovation and Urban Green Spaces at Aeres University of Applied Sciences and holds a senior role as a researcher and project leader at Amsterdam University of Applied Sciences’ Faculty of Technology. He leads initiatives like the Sensing Streetscapes project and the EU-funded Cool Towns , focusing on urban transformation, climate resilience, and nature-based solutions. His work bridges urban design, environmental science, and human well-being through projects such as Building4Wellbeing and Biodiverse Cities . Research interests include spatial urban transformation, climate adaptation, and bio-based housing. He collaborates with municipalities, architecture firms, and international bodies to develop strategies for just, climate-resilient cities. Key outputs include the Urban Heat Atlas and Nature-inclusive Guiding Principles white paper, emphasizing participatory design and neuroarchitecture. Notable awards include the HvA Research of the Year 2022 for Sensing Streetscapes . His work spans academic publications, policy frameworks, and public engagement, reflecting a commitment to actionable urban solutions.
Kyle Chan is a Postdoctoral Research Associate and Lecturer in Sociology at Princeton University, affiliated with the Paul and Marcia Wythes Center on Contemporary China and the M. S. Chadha Center for Global India. He is also an adjunct researcher at the RAND Corporation and a 2025 fellow with the Penn Project on the Future of US-China Relations. His research focuses on industrial policy, clean technology, and infrastructure in China and India. He is currently working on a book explaining China’s dominance in industries like electric vehicles, solar energy, and semiconductors. He publishes a popular newsletter High Capacity and has been featured in major media outlets including the Wall Street Journal and New Yorker . Education: Ph.D. in Sociology (Princeton University), M.Sc. in Political Sociology (London School of Economics), B.A. in Economics (University of Chicago). Research interests include Chinese industrial policy tools, state-owned enterprises, and comparative bureaucracy. He has conducted fieldwork in China and India on railway infrastructure development and testified before the U.S.-China Economic and Security Review Commission. Labs/teams: Collaborates with institutions like the RAND Corporation and maintains affiliations with global China-India research centers.
Professor Masatoshi Okutomi is affiliated with the Department of Systems and Control Engineering at the School of Engineering, Institute of Science Tokyo. His research focuses on advanced medical imaging techniques, particularly in endoscopy and 3D reconstruction, leveraging deep learning and neural networks. Key interests include virtual chromoendoscopy for cancer detection, image restoration, and stereo matching under challenging conditions. His work bridges computer vision and healthcare, addressing real-world applications such as MRI reconstruction and foggy stereo matching. Notable contributions include developing lightweight medical segmentation networks for edge devices and advancing neural radiance fields (NeRF) for novel view synthesis. His research spans diverse domains: from improving video quality assessment to enhancing object detection in high-dynamic-range images. Collaborative projects emphasize practical solutions for medical diagnostics and robust image processing in adverse environments. Recent articles highlight advancements in temporally-consistent video restoration, few-shot view synthesis, and degraded image classification using knowledge distillation. These innovations underscore his commitment to pushing boundaries in both theoretical computer vision and applied medical technology.
