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Kartik NairView profile

Assistant Professor

• Cinematic Infrastructures
• Genre Cinemas
• Visual Space in Film
• +5 more

Kartik Nair is an Assistant Professor of Film Studies in the Department of Film and Media Arts at Temple University, affiliated with the School of Theater, Film and Media Arts. His research focuses on cinematic infrastructures, genre cinemas, and visual space in film, with a particular emphasis on Indian horror cinema and digital production technologies. Prior to Temple, he was a Visiting Assistant Professor of Cinema Studies at Purchase College, SUNY (2016-2018). Education includes a PhD in Cinema Studies from New York University (2018), an MPhil from Jawaharlal Nehru University's School of Arts and Aesthetics (2010), and an MA in English from Delhi University (2008). His current book project, Seeing Things , examines material traces of film production in 1980s Indian horror films, to be published by UC Press in 2024. He co-edits Bioscope: South Asian Screen Studies and has published widely in journals like Journal of Cinema and Media Studies and Discourse . Research interests bridge film materiality, digital aesthetics, and labor histories, analyzing how production infrastructures shape expressive forms. Recent work explores VFX software's impact on global genre cinema and the perceptual intersections of algorithmic and human creativity in digital spaces. Teaching includes graduate seminars, writing-intensive courses, and introductory lectures, with a focus on methodological innovation in cinema studies. Public-facing writing appears in Los Angeles Review of Books , Film Quarterly , and India Today . Collaborative projects include a co-edited volume with Karen Redrobe on pedagogical approaches in Cinema and Media Studies.

• Medieval architecture
• Cultural heritage
• Landscape history
• +17 more

Andrea Longhi is a Full Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he also serves as the Rector's representative for the strategic management and conservation planning of Valentino Castle. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Centre) and actively contributes to national and international research on cultural and religious heritage. His research interests include medieval architecture, cultural and ecclesiastical heritage, landscape history, urban history, and the historical development of settlements. He focuses on the interplay between liturgical reform and architectural practice, the resilience of religious complexes, and the adaptive reuse of decommissioned churches. His work integrates historical research with contemporary heritage policy and conservation strategies. His recent publications reflect a strong focus on civic and religious architecture, territorial history, and heritage valorization. Themes include post-conciliar religious architecture, the transformation of urban religious heritage, and the historical significance of medieval civic and defensive structures. He often collaborates on interdisciplinary projects and contributes to digital platforms for heritage mapping and resilience. Scientific Committee member - Leon Battista Alberti Study Center Foundation, Mantua, Italy (2023-) National Consultation for Liturgical Pastoral Care of the National Liturgical Office of the Italian Episcopal Conference, Italy (2022-2027) Steering Committee member - Future for Religious Heritage, Belgium (2020-) Scientific Committee member - ICOMOS Italia - PRERICO and ICORP (2020-) Effective member - ICOMOS Italia (2020-) Scientific Committee member - Observatorio de Arquitectura Religiosa Contemporánea, Spain (2019-) Founding partner - Associazione Piemontese per l'Arte Cristiana "Guarino Guarini", Italy (1999-) Andrea Longhi supervises PhD students, including Giulia Assalve, and teaches in doctoral and master's programs at Politecnico di Torino. He has been involved in evaluating cultural heritage funding programs for institutions such as Fondazione Cassa di Risparmio di Cuneo and Compagnia di San Paolo. He also leads significant research projects, including PRIN grants on civic palaces and the architectural heritage of small Italian municipalities. He is involved in multiple research collaborations and has contributed to the development of digital tools for heritage resilience, such as the Mnemonic atlas. His editorial roles include directing the journal Atti e Rassegna Tecnica and serving on the scientific committees of several academic publications.

Kaiyi JiView profile

Assistant Professor

• Large-scale optimization
• Machine learning
• Multi-task learning
• +6 more

Kaiyi Ji is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. He earned his PhD in Electrical and Computer Engineering from Ohio State University in 2021 and completed a postdoctoral fellowship at the University of Michigan. His research focuses on large-scale optimization, machine learning, and foundation models. PhD: Electrical and Computer Engineering, Ohio State University (2021) Postdoc: University of Michigan (2022) BSc: University of Science and Technology of China (2016) Research interests include bilevel optimization, multi-task learning, continual learning, and AI4Science, with applications in robotics and crystal property prediction. Recent work explores efficient algorithms for LLM training and optimization. His publications span top venues like ICLR, ICML, NeurIPS, and IEEE Transactions on Information Theory. He received the CSE Junior Faculty Research Award (2023) and NSF CAREER Award (2025). He advises PhD students and actively participates in departmental service as Associate Chair for Graduate Student Admissions and organizer of academic workshops.

• Sustainable Transport
• Urban Mobility
• Logistics and Supply Chains
• +8 more

Mengqiu Cao is a Lecturer in Urban Systems Predictive Analytics and Machine Learning at the University College London (UCL) within the Bartlett School of Environment, Energy and Resources . He integrates academia and industry expertise to advance interdisciplinary research at the intersection of transport analysis and urban studies. Research Focus : Sustainable transport, urban mobility, logistics, social equity, and low carbon transitions. Teaching : Coordinates modules on climate sciences, data-driven consumer behavior analysis, and transport policy. Awards : Holds fellowships with the Royal Geographical Society, Royal Statistical Society, and Royal Society of Arts. Publications : Recent works examine green space impacts on mobility, equitable EV charging access, dockless bike-sharing patterns, and 15-minute city frameworks.

Paul HillView profile

Professor

• Remote work adoption & practice
• Community development
• Workforce development
• +4 more

Dr. Paul Hill is a tenured Extension Professor at Utah State University's College of Agriculture and Applied Sciences, serving as the Washington County Director and founder of the Remote Online Initiative (ROI) established in 2018. His work focuses on connecting rural communities to remote work and e-commerce opportunities through innovative Extension programming that has expanded across all Utah counties and ten additional states. His educational background includes: PhD in Career and Technical Education (Distributed operations, leadership, diffusion of innovations) from Utah State University (2021) MBA in Leadership (Statistics, Marketing) from Southern Utah University (2011) BS in Business Administration (Leadership, Statistics, Marketing) from Utah Tech University (2009) Dr. Hill's research centers on remote work adoption as a modern workplace practice, with significant contributions to community, workforce, and economic development in rural areas. His work bridges leadership theory with practical applications for remote workforce development, creating measurable impacts on rural economic prosperity. His research demonstrates how technology adoption can transform traditional rural economies through remote work opportunities and e-commerce platforms. His publication record shows a clear progression from foundational work in STEM education and 4-H programming to increasingly sophisticated research on remote work adoption and its socioeconomic impacts. Recent publications focus on cutting-edge topics including generative AI applications in Extension, remote work satisfaction metrics, and evaluation frameworks for professional development events. His work consistently addresses practical challenges in rural community development through evidence-based approaches. Dr. Hill's scientific recognition includes: Utah Governor's Medal for Science and Technology (2015) Forty Under Forty Award from Utah Business Magazine (2021) Numerous national awards from seven different national associations totaling over 20 honors Multiple National Winners from the National Association of Community Development Extension Professionals As founder of the Rural Online Initiative, Dr. Hill has secured state and federal funding that has measurably increased incomes and improved quality of life for rural residents. His programming has received recognition for innovation, creativity, and community impact, with particular strength in developing practical solutions for rural workforce challenges. He has led numerous teams that have earned awards across multiple categories including educational technology, community development, and program innovation. Dr. Hill directs the Rural Online Initiative, which has become a model for rural workforce development across multiple states. His work integrates community asset mapping with technology adoption strategies to create sustainable economic pathways for rural communities. The initiative has evolved from local programming to a multi-state effort demonstrating significant impact on rural economic development through remote work opportunities.

Martin AumüllerView profile

Lecturer

• Algorithms
• Algorithm engineering
• Algorithmic privacy
• +6 more

Martin Aumüller is a Lecturer in Theoretical Computer Science Algorithms at the IT University of Copenhagen . He serves as Head of Education and Master of Software Design , focusing on algorithm engineering, differential privacy, and similarity search. Research interests include: Algorithm engineering for high-dimensional data Locality-sensitive hashing and nearest neighbor search Privacy-preserving machine learning Fairness in approximate search algorithms Benchmarking and evaluation of similarity search tools Publications trends highlight his work on approximate nearest neighbor search , privacy-preserving techniques , clustering algorithms , and scalable outlier detection in high-dimensional spaces. His recent projects (2024-2025) focus on fairness, differential privacy, and efficient indexing. Grants and projects : DIREC (2020-2025): Digital Research Centre Denmark (Innovation Fund Denmark) DIREC: Bias and Benefit of Approximate Nearest Neighbor Search (2022-2025): Principal Investigator (Innovation Fund Denmark) BARC (2017-2024): Basic Algorithms Research Copenhagen (Villum Fonden) SSS (2014-2019): Scalable Similarity Search (European Commission)

• Optical Wireless Communication
• Underwater Visible Light Communication
• Vehicular Visible Light Communication
• +3 more

Dr. Mohammed Elamassie is an Assistant Professor at Özyeğin University's Graduate School of Science and Engineering, Department of Electrical and Electronics Engineering. He co-directs the Centre of Excellence in Optical Wireless Communication Technologies (OKATEM) and holds senior memberships in IEEE and Optica. PhD in Electrical and Electronics Engineering (Özyeğin University, 2020) MSc in Electrical and Electronics Engineering (Islamic University of Gaza, 2011) BSc in Electrical and Electronics Engineering (Islamic University of Gaza, 2006) Dr. Elamassie's research focuses on optical wireless communication systems, with specific expertise in underwater visible light communication (UVLC), vehicular visible light communication (V2V), airborne free space optical (FSO) networks, and turbulence mitigation techniques. His work addresses atmospheric channel modeling, diversity techniques, and MIMO communication challenges across multiple mediums. Analysis of his 15 most recent publications reveals critical trends in UVLC turbulence modeling, FSO UAV optimization, RIS-aided systems, and vehicular communication reliability. These works demonstrate his leadership in developing practical solutions for channel degradation and mobility-induced challenges. Best Paper Award, IEEE Black Sea Conference (2019) IEEE Turkey PhD Thesis Award (2020) Senior Member, IEEE Senior Member, Optica Optica Traveling Lecturer/Speaker Dr. Elamassie serves as Review Editor for Frontiers in Communications and Networks, covering 'Non-Conventional Communications' and 'Wireless Communications' sections. He contributes to OKATEM's research on optical wireless technologies, focusing on practical implementations across underwater, vehicular, and airborne domains.

Tauhidul AlamView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Motion Planning
• +1 more

Tauhidul Alam serves as Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Louisiana State University Shreveport (LSUS), where he has taught since 2019. His research focuses on advancing autonomous robotic systems through innovations in artificial intelligence and cyber-physical applications. Dr. Alam holds a Ph.D. in Computer Science awarded in 2018. His scholarly work centers on robotics challenges including motion planning for underwater vehicles, multi-robot coordination under resource constraints, and energy-aware autonomous navigation. Key research domains span artificial intelligence, cyber-physical security using blockchain, and persistent monitoring in constrained environments. Analysis of his 14 recent publications reveals a strong emphasis on solving real-world robotics problems in marine and aquatic settings. His work consistently addresses uncertainty handling, multi-agent coordination, and security vulnerabilities, with increasing integration of data-driven methodologies across autonomous systems research. Scientific recognition includes: Best Student Paper Finalist at MTS/IEEE OCEANS Conference (2018) Dr. Alam teaches undergraduate courses including Computer Architecture (CSC 242), Database Systems (CSC 315), and Artificial Intelligence (CSC 465), alongside graduate-level instruction in Programming Languages (CSC 620) and Cloud Computing (CSC 690). Information regarding advised students, research grants, or laboratory affiliations is not specified in available materials.

Jina KangView profile

Assistant Professor

• Educational Technology
• Immersive Learning Environments
• Collaborative Learning
• +3 more

Jina Kang is an Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois Urbana-Champaign , with an affiliate appointment at the Siebel Center for Design . Her research focuses on immersive technology-supported learning environments , collaborative problem-solving dynamics , and educational data mining for understanding multimodal engagement in science education. Recent publications examine embodied cognition in STEM through gesture-based learning simulations, joint attention dynamics in astronomy VR environments, and systematic reviews of immersive technology applications in collaborative education. Her work integrates XR platforms , Bayesian knowledge tracing , and multimodal behavioral analysis to enhance science learning outcomes. She teaches graduate courses including CI 539: Introduction to Educational Data Mining and CI 489: Educational Technology Capstone Course , where students develop technology-supported learning activities using studio-based approaches.

Jörn MeissnerView profile

Professor

• Supply Chain Management
• Pricing Strategy
• Revenue Management
• +5 more

Prof. Jörn Meissner, PhD, is a Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University (KLU) since 2011. He holds a PhD and Master’s in Management Science from Columbia Business School and a Diploma in Business from University of Hamburg . As an academic and entrepreneur, he founded Manhattan Review and Lancaster Executive . Education: PhD in Management Science, Columbia University (2005) Master of Philosophy, Columbia University (2005) Diplom-Kaufmann, University of Hamburg (1997) Research Expertise: Focus on stochastic and dynamic decision-making using mathematical optimization and machine learning Key projects: Global supply chain optimization , Inventory control , Revenue management , and Operations & service management Industry collaborations with British Telecom , British Airways , Apple Europe , and SAP Germany Publication Trends: Recent work addresses intermittent demand forecasting for spare parts, lateral transshipment optimization , and risk-sensitive capacity control Historical contributions include progressive interval heuristics for multi-item lot sizing and dynamic pricing with customer choice models Teaching Experience: Previously held academic positions at Lancaster University Management School , University of Hamburg , and University of Mannheim Developed MBA electives in Advanced Decision Models , Supply Chain Management, and Revenue Management

Wolfgang EpplerView profile

Researcher

• Artificial Intelligence
• Digital Transformation
• Technology Assessment
• +5 more

Dr. Wolfgang Eppler is a Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) at the Karlsruhe Institute of Technology (KIT), where he has been working since 2023. His research focuses on the societal implications of digital technologies, particularly artificial intelligence and digital transformation. Prior to his current position, he served in various leadership roles related to staff representation at KIT and its predecessor institutions. Dr. Eppler received his education at the University of Stuttgart, where he completed his computer science studies from 1980 to 1986. He then worked as a research assistant at the University of Karlsruhe and the Research Center for Information Technology (FZI) from 1987 to 1993, during which time he earned his doctorate on the topic of "Pre-structuring of neural networks with fuzzy logic." Dr. Eppler's research spans multiple domains at the intersection of technology and society. His early work focused on neural networks, fuzzy logic, and their applications in areas such as electronic noses, medical imaging, and high-energy physics data processing. In recent years, his research has shifted toward technology assessment, particularly examining the societal impacts of artificial intelligence, digital transformation, and the governance of emerging technologies. His interdisciplinary approach combines technical expertise with social science perspectives to address complex questions about the role of technology in society. Analysis of Dr. Eppler's recent publications reveals a strong focus on the ethical, governance, and societal implications of artificial intelligence. His 2024-2025 work addresses critical issues such as EU AI regulation, generative AI for technology assessment, the grounding of large language models, and algorithmic bias. This represents an evolution from his earlier technical work on neural networks and data processing systems toward more policy-oriented research that bridges technical and social dimensions of technological change. Throughout his career, Dr. Eppler has been actively involved in institutional governance and staff representation. From 2009 to 2023, he served as Chairman of the Staff Council at KIT, and from 2005 to 2009 as Chairman of the Works Council at the Karlsruhe Research Center. His publications on university governance, particularly regarding the KIT merger and models for democratic science institutions, reflect his practical experience and theoretical interest in participatory decision-making in academic settings. Dr. Eppler is a member of the Research Group "Digital Technologies and Social Change" at ITAS, where he contributes to projects examining the societal dimensions of technological innovation. His interdisciplinary background enables him to bridge technical and social science perspectives in assessing emerging technologies.

Guillermo GallegoView profile

Professor

• Robotics
• Computer Vision
• Event-based Vision
• +5 more

Guillermo Gallego is a Professor of Robotic Interactive Perception at the Faculty of Electrical Engineering and Computer Science , Technische Universität Berlin , holding the Einstein Center Digital Future (ECDF) Professorship since 2019. His research bridges robotics , computer vision , and applied mathematics , focusing on optimization methods for interdisciplinary imaging and control problems. Education : PhD in Electrical and Computer Engineering (Georgia Tech, 2011), MS in Mathematics (Georgia Tech, 2009), MS in Electrical Engineering (Georgia Tech, 2007), MS in Mathematical Engineering (Universidad Complutense de Madrid, 2005). Gallego's work explores event-based vision to enhance robot perception through low-latency sensing and real-time 3D reconstruction . He previously held postdoctoral positions at the Institute of Neuroinformatics (University of Zurich/ETH Zurich) and Technical University of Madrid (Marie Curie Experienced Researcher). His interdisciplinary projects span applications in ocean remote sensing , autonomous driving , and space exploration . Key scientific awards include the Fulbright Fellowship (2005-2010) and Marie Curie Experienced Researcher (2011-2014). His recent publications focus on event camera algorithms for optical flow , SLAM , and noise estimation , reflecting his leadership in event-based vision research. Collaborations include institutions like University of Zurich , Georgia Tech , and University of Pennsylvania . Research Grants : Funded through ECDF and Marie Curie programs. Labs : Affiliated with the Einstein Center Digital Future and Institute of Neuroinformatics (Zurich/ETH Zurich).

Seth LazarView profile

Professor

• AI Ethics
• Ethics of War
• Risk Ethics
• +2 more

Seth Lazar serves as Professor of Philosophy at the Australian National University, holding an Australian Research Council (ARC) Future Fellowship. He maintains dual prestigious affiliations as Distinguished Research Fellow at the University of Oxford Institute for Ethics in AI and Visiting Faculty Researcher at Google DeepMind. Additionally, he contributes as Nonresident Scholar in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, focusing on AI governance and ethical frameworks. His research program bridges philosophical rigor with technical AI challenges through the Machine Intelligence and Normative Theory (MINT) Lab, which he founded. Lazar's work critically examines ethics of war, risk assessment, and AI safety, with publications spanning elite philosophy journals ( Noûs , Philosophy & Public Affairs ) and top computer science venues (ICML, ACM FAccT). His interdisciplinary approach integrates normative theory with practical AI system design. Recent publications reveal three dominant trajectories: anticipatory ethics frameworks for emerging technologies, institutional governance of AI agents, and democratic value preservation in algorithmic societies. Lazar consistently argues for proactive ethical interventions rather than reactive measures, emphasizing institutional adaptation to novel agent types with non-human cognitive profiles. His scientific recognition includes: Australian Research Council Future Fellowship University of Oxford Institute for Ethics in AI Distinguished Research Fellowship Lazar directs the MINT Lab's research agenda on AI safety and normative theory, supported by his ARC Fellowship grant. His collaborations with Google DeepMind and Oxford focus on translating philosophical insights into technical specifications for agent governance. Current projects examine democratic accountability in language model systems and institutional redesign for human-AI cohabitation, with emphasis on preventing platform monopolization of user-agent relationships.

Noah P. MolotchView profile

Professor

• Mountain Hydrology
• Snow Hydrology
• Ecohydrology
• +4 more

Noah P. Molotch is a Professor in the Department of Geography at the University of Colorado Boulder, leading the Mountain Hydrology Group and affiliated with the Cryosphere and Surface Processes Lab and Niwot Ridge Long-Term Ecological Research program. His work integrates ground observations, remote sensing, and computational modeling to advance understanding of mountain hydrology, water resources, and ecohydrology in changing climates. His educational background includes: PhD in Hydrology and Water Resources from the University of Arizona (2004) MS in Environmental Science and Management from the University of California, Santa Barbara (2000) BA from the University of Colorado Boulder (1997) Molotch's research focuses on snow hydrology , ecohydrology , and remote sensing with emphasis on snowmelt distribution, soil moisture dynamics, and streamflow generation. He investigates how climate change alters snowpack characteristics and hydrological partitioning, affecting forest productivity and carbon cycling in montane ecosystems. His work spans from the Colorado Front Range to Chilean Andes, addressing critical water security challenges through field studies and satellite data integration. Recent publications (2024-2025) reveal three dominant research thrusts: (1) Advanced snow water equivalent estimation using machine learning and airborne remote sensing, (2) Climate impacts on snowmelt timing and hydrological partitioning across mountain systems, and (3) Ecohydrological feedbacks between snow dynamics and vegetation productivity. These studies increasingly incorporate drone-based multispectral imaging and cross-scale data fusion to resolve spatial heterogeneity in alpine environments. Molotch mentors PhD students Millie Spencer and Emma Tyrrell, with Spencer documenting glacier retreat in Chile through CUAHSI-funded research. His group has secured significant grants from the U.S. Bureau of Reclamation for developing operational snowpack datasets, while collaborating with NASA, NOAA, and water management agencies on real-time monitoring systems. Community engagement includes art-science collaborations like the Colorado Arts Science Environment Program to communicate climate impacts. The Mountain Hydrology Group operates cutting-edge facilities including the Cryosphere and Surface Processes Lab and contributes to the Niwot Ridge Long-Term Ecological Research site. They deploy airborne lidar, drone-based thermal imaging, and wireless sensor networks to map snow properties at unprecedented resolutions, directly informing water resource management during drought and flood events across the Western U.S.

Thomas EckertView profile

Professor

• Adult Education
• Educational Equity
• School Quality Research
• +5 more

Prof. Dr. Thomas Eckert holds a professorship at the Faculty of Psychology and Education, Ludwig-Maximilians-Universität München (LMU Munich), specializing in historical socialization research and qualitative methods since 2003. His career spans from 1987-2002 as an employee at Freiburg University's Institute of Educational Sciences, followed by habilitation (1999) and promotion to full professor. Research Focus: Professionalization in pedagogical fields School quality research Educational equity and inclusion Quantitative/qualitative social research methods Lifelong learning systems Recent Publications: Address inclusion monitoring (2021-2025), educational equity frameworks (2022), and methodological innovations in statistical modeling (2019). His work bridges empirical pedagogy with policy analysis, examining transitions in educational systems and regional learning structures. Teaching Contributions: He has developed curriculum materials for distance learning courses and contributed to handbooks on adult education, educational statistics, and teaching practice organization.