Hafiza Aisha Khalid is a Doctoral Researcher at Aalto University's Department of Built Environment, specializing in environmental and water engineering. She focuses on the interaction between flexible vegetation and fluid dynamics in natural water systems. Her research is part of the Water and Environmental Engineering group, where she contributes to advancing understanding of vegetation's role in flow resistance and eco-hydraulic systems. Recent publications highlight her work on modeling natural vegetation effects in hydrological systems, emphasizing practical applications for sustainable water management. BEST ORAL PRESENTATION AWARD
Eero Vaara serves as a Visiting Distinguished Professor in the Department of Management Studies at Aalto University, where his research centers on organizational and strategic change through discursive and narrative lenses. His work critically examines strategy processes, radical transformations like mergers and acquisitions, institutional legitimation, multinational corporation dynamics, and historical perspectives on management. His research interests encompass organizational change, strategic discourse, narrative analysis, institutional theory, and multinational corporate identity. Vaara investigates how language constructs organizational realities during crises, mergers, and cross-cultural interactions, with particular attention to power dynamics in identity politics and the role of historical narratives in strategic renewal. His scholarship bridges theoretical rigor with practical implications for managing complex change in global contexts. Recent publications (2020-2022) reveal consistent thematic focus across top management journals including Academy of Management Journal and Strategic Management Journal. Key trends include the interplay of language and social inequality during global crises like COVID-19, entrepreneurial phenomena in isolated economies such as North Korea, strategic ambiguity in organizational protection, and national identity construction within multinational corporations. His methodological innovations integrate critical discourse analysis with computational approaches like structural topic modeling. Scientific awards highlight his scholarly impact: Best Article Finalist 2023 (Academy of Management Discoveries) 2014 OMT Best Published Paper Award for advancing theoretical understanding of organizations While specific advising relationships and grant funding details aren't documented in the source material, Vaara's collaborative publications demonstrate extensive international research partnerships. His work with scholars across Europe and North America indicates active supervision of doctoral research and leadership in multinational research consortia, particularly in discourse-focused organizational studies. Though laboratory affiliations aren't specified, his methodological work suggests engagement with digital humanities research groups and discourse analysis laboratories, especially evident in publications combining computational text analysis with critical theoretical frameworks.
Luca Sebastiani is a Full Professor in Horticultural Sciences (AGR/03) at Scuola Superiore Sant'Anna in Pisa, Italy, since 2014. He currently coordinates the PhD Course in AgroBioSciences and has previously served as Director of the Institute of Life Sciences (2016-2021). His academic career includes roles as Associate Professor (2002-2014) and Assistant Professor (1998-2002) at the same institution. PhD in Plant Biology from Scuola Superiore Sant'Anna (1996) MSc in Agricultural Sciences from University of Pisa (cum laude, 1991) Postdoctoral research in agricultural biotechnology (1996-1998) Research Interests: Focus on plant-environment interactions, particularly abiotic and biotic stress responses in crops. Key areas include: Physiological and molecular responses to climate change stressors Nutraceutical enhancement of food crops Plant germplasm conservation using molecular markers Agriculture 4.0 integrating AI, IoT, and robotics Phytoremediation using poplar and Brassica species Scientific Contributions: His work bridges molecular mechanisms (aquaporin function, heavy metal transport) with ecosystem-level applications (precision irrigation, contaminant phytoremediation). Recent publications emphasize genome sequencing, stress tolerance modeling, and nutraceutical food development. ISHS Medal for SapFlow Workshop organization (2011) Giovanni Spitali Foundation Award for PhD dissertation (1998) Collaborations: Extensive international collaborations with institutions like Beijing Forestry University, Comenius University, and Purdue University. Currently supervises projects in plant phenotyping, omics technologies, and sustainable crop management.
Ruohan Gao is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park , with affiliate appointments at the University of Maryland Institute for Advanced Computer Studies (UMIACS) , Maryland Robotics Center (MRC) , and Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) . His research focuses on Computer Vision and Machine Learning , emphasizing Multisensory Machine Intelligence that integrates sight, sound, and touch . He aims to enable machines to perceive, understand, and interact with the world as humans do, with applications in robotic manipulation , audio-visual localization , and differentiable rendering . Article Trends : Span 2018–2025 , centering on audio-visual perception , multisensory datasets , and robotics . Recurring themes include object-centric learning , sound synthesis , and cross-modal consistency . Scientific Awards : Michael H. Granof Award (UT Austin’s Top 1 Doctoral Dissertation, 2021) Best Paper Award Runner-Up (BMVC 2021) Best Paper Award Finalist (CVPR 2019) Highlight Paper (CVPR 2023) He leads the UMD Multisensory Machine Intelligence Lab and collaborates with institutions like Stanford and The University of Texas at Austin . Contact: rhgao@umd.edu .
Roshan Gunasekara serves as an Assistant Professor in the Department of Neurology at Yale School of Medicine, where he leads the Gunasekara Lab and collaborates with the Grutzendler Lab. His academic journey includes a PhD in Organic Chemistry from Iowa State University (2016) and undergraduate studies in Chemistry at the University of Peradeniya (2010). Dr. Gunasekara's research focuses on molecular recognition in aqueous environments, with particular expertise in designing synthetic receptors for carbohydrates, peptides, and lipids. His work bridges organic chemistry, nanotechnology, and neuroscience applications, developing innovative tools for molecular sensing and isolation. Key research areas include water-soluble fluorescent foldamers, cooperatively enhanced receptors, and nanoparticle-based systems for biomolecular recognition. His publication record demonstrates consistent high-impact contributions to the fields of supramolecular chemistry and molecular recognition, with numerous articles in prestigious journals including Journal of the American Chemical Society and Chemical Communications. His research shows a clear progression from fundamental molecular recognition principles to applications in extracellular vesicle isolation and neuroscientific contexts. Yale Center for Clinical Investigation Award (2019) The Alpha Chi Sigma Research Award (2016) Graduate Research Symposium Award (2015) Frank J. Moore and Thoreen Beth Moore Fellowship Award (2015) Dr. Gunasekara maintains active research collaborations with prominent scientists including Frederic Pincet, Sathish Ramakrishnan, and Themis Kyriakides. His work has significant implications for diagnostic tools, drug delivery systems, and fundamental understanding of molecular interactions in biological systems.
Ion Stoica is a Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley, where he holds the Xu Bao Chancellor Chair. He serves as Director of the Sky Computing Lab and is Executive Chairman of both Databricks and Anyscale. His research spans distributed systems, cloud computing, and AI systems, with significant contributions to large-scale data processing frameworks. Stoica's research interests focus on the intersection of AI and systems, with emphasis on developing practical implementations that bridge theoretical foundations with real-world deployability. His work addresses fundamental challenges in distributed computing, resource management, and large-scale machine learning systems. Current projects include Ray (a distributed execution framework), vLLM (a high-throughput inference engine for LLMs), Chatbot Arena (an open platform for human preference evaluations), and SkyPilot (a framework for running AI workloads across clouds). His research output demonstrates a consistent trajectory toward more efficient, scalable systems for modern AI workloads, particularly focusing on optimizing inference performance, resource utilization, and cross-cloud deployment. Recent publications reflect growing interest in large language model serving, video generation optimization, and agent-based systems. ACM Fellow SIGOPS Hall of Fame Award (2015) SIGCOMM Test of Time Award (2011) ACM Doctoral Dissertation Award (2001) Member of National Academy of Engineering Honorary Member of the Romanian Academy Stoica has advised an extensive number of doctoral students who have gone on to prominent positions in academia and industry, including assistant professorships at Stanford, MIT, Carnegie Mellon, and other top institutions. He has received significant research funding through his lab activities and startup ventures. His research group has been particularly successful in translating academic research into widely adopted open-source technologies and commercial products. Stoica leads the Sky Computing Lab at UC Berkeley, which focuses on developing systems for AI workloads across multiple clouds. His research group has produced numerous influential open-source projects including Apache Spark, Apache Mesos, and Alluxio, which have become industry standards for large-scale data processing. The lab maintains strong industry partnerships while pursuing fundamental research in distributed systems and AI infrastructure.
Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.
Dr. Martha Sidury Christiansen is a Professor of Applied Linguistics/TESOL at the University of Texas at San Antonio , where she serves in the College of Education and Human Development . She is the Principal Investigator of Project RESPETO , a NSF-funded initiative exploring racial equity in engineering education. Her work spans sociolinguistics, digital literacies, and raciolinguistic analysis, with a focus on transnational multilingual communities. Born in Veracruz, Mexico Ph.D. in Foreign/Second Language Education (Ohio State University, 2013) M.A. in English Composition (Indiana University, 2007) B.A. in English Language Teaching (Universidad Veracruzana, 2002) Her research examines how transnational youth navigate digital spaces through multiliteracies , challenges Western academic writing norms via Mexican decolonial methodologies , and investigates raciolinguistic intersections in identity formation. The 15 most recent publications reveal a strong focus on digital communication , transnationalism , and critical pedagogy across journals like TESOL Quarterly and Language@Internet . 2023-2025: Expanding raciolinguistic frameworks in digital contexts 2021-2022: Analyzing multimodal identity construction 2019-2020: Exploring Mexican bilinguals' online language use She has received multiple honors including ACUE Fellow (2023), Fulbright Scholar (2017), and Faculty Leadership Fellow (2021-2022). Her presentations at conferences like ICOLLITE and DDVM Lab highlight her expertise in critical sociolinguistic awareness and digital discourse analysis . Dr. Christiansen actively consults for nonprofits on linguistic equity and multilingual education .
Guofang Li is a Professor in the Department of Language and Literacy Education at the Faculty of Education, affiliated with the Centre for Early Childhood Education & Research (CECER). Her work centers on bilingual development and literacy education within multicultural contexts, particularly focusing on Chinese-Canadian communities. Her research interests include: Early bilingual development Family literacy practices Early literacy instruction methodologies Early education for minority learners Teacher education for multilingual classrooms Analysis of her 2021-2025 publications reveals a concentrated focus on Chinese-Canadian children's bilingual development, examining home literacy environments, digital technology impacts, and pandemic-related disruptions. She consistently advocates for equity-focused approaches in superdiverse educational settings, emphasizing translanguaging practices and critical perspectives on linguistic justice. Scientific Awards: No awards explicitly mentioned in source materials Advising and Grants: No specific student names or grant information provided in source materials Labs and Teams: Centre for Early Childhood Education & Research (CECER): An interdisciplinary hub facilitating collaborative research between academics, educators, and community partners focused on advancing evidence-based early childhood education practices through longitudinal studies and community-engaged projects.
Dr. Jay Pujara is a Research Associate Professor of Computer Science at the University of Southern California (USC) and Director of the Center on Knowledge Graphs. He is also a Principal Scientist at the Information Sciences Institute (ISI) and leads research teams in data science and AI. Ph.D., University of Maryland, College Park (2016) M.S. and B.S. in Computer Science, Carnegie Mellon University Research Interests include artificial intelligence, probabilistic models, knowledge graph construction, statistical relational learning, NLP, and streaming inference. His work focuses on scalable algorithms for big data and uncertainty modeling in dynamic environments. Recent Publications highlight advancements in knowledge graphs, LLM reasoning, and table understanding. Notable topics include non-verbal abstract reasoning , faithful conversational datasets , and KGQA re-ranking . Scientific Awards : SWSA Ten-Year Award (2023), Outstanding Paper (IUI 2019), Top Reviewer (NeurIPS 2018), Best Paper (SRL Workshop 2016) Advising & Grants : Mentored 12+ graduate students, including Ph.D. advisees on topics like causal modeling and neuro-symbolic tasks. Secured NSF funding for table understanding in paleoclimate studies.
Lakshmi N Sankar serves as Regents Professor and Sikorsky Professor in the Guggenheim School of Aerospace Engineering at Georgia Institute of Technology, where he directs the Computational Fluid Dynamics Laboratory and teaches aerodynamics, helicopter theory, and wind energy courses. His research program spans unsteady viscous flow modeling for aircraft, helicopters, and wind turbines since joining the faculty in 1982 after industry experience at Lockheed Martin. Education: Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977 MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975 B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973 Research Focus: Professor Sankar's work centers on Computational Fluid Dynamics for rotorcraft aerodynamics and wind energy systems , with significant contributions to icing phenomena and unsteady flow modeling . His recent publications reveal intensifying focus on adverse weather effects (rain/icing), eVTOL conversion challenges, and high-fidelity hybrid modeling techniques for rotorcraft performance prediction. Publication Trends: Analysis of his 2022-2025 publications shows dominant themes in rotorcraft icing (35%), weather impact studies (25%), and advanced CFD methodologies (20%), with growing interest in drone applications and mathematical aspects of fluid dynamics. His work consistently bridges theoretical mathematics with practical aerospace engineering challenges. Scientific Recognition: AIAA Fellow and AHS Technical Fellow NASA Group Achievement Award (2007) and Space Act Software Release Award (2003) Multiple Sigma Gamma Tau Teaching Awards (2005-2015) Dean George C. Griffin Faculty of the Year (2014-2015) Sikorsky Professorship (2018-Present) Mentorship and Collaboration: As recipient of Georgia Tech's Graduate Research Assistant Development Award, he has cultivated extensive student mentorship. His research integrates with the Vertical Lift Research Center of Excellence and Center for 21st Century Universities, securing major industry and NASA funding for rotorcraft innovation. Current projects include physics-based modeling of ice accretion and eVTOL retrofit feasibility studies. Research Infrastructure: The Computational Fluid Dynamics Laboratory serves as his primary research hub, complemented by collaborations through the Vertical Lift Research Center of Excellence where his team develops next-generation modeling tools for military and civilian rotorcraft applications under federal funding programs.
Paul Dodds is Professor of Energy Systems at University College London's Bartlett School of Environment, Energy & Resources, where he holds joint appointments at the UCL Energy Institute and the Institute for Sustainable Resources. He serves as the Faculty Graduate Tutor for the Bartlett Faculty of the Built Environment, overseeing all doctoral research programs. His academic progression at UCL has been steady, moving from Research Associate (2011-2014) to Senior Research Associate (2014-2015), Lecturer (2015-2016), Senior Lecturer (2016-2018), Associate Professor (2018-2020), and finally to Professor. His educational background includes a PhD from the University of Leeds (2010) focused on climate change and agriculture in Senegal, where he developed a new crop model for adaptation research and created detailed meteorological datasets for West Africa. He also holds a Master of Natural Science (Honours) from the University of Nottingham (2000). Dodds specializes in energy systems modelling with particular expertise in hydrogen and bioenergy systems, and the importance of energy storage. His research examines the interactions between society and the environment, with a focus on energy and food systems. He has developed the UK TIMES energy systems model, which has replaced the UK MARKAL model and is now co-developed with the UK Department of Business, Energy and Industrial Strategy (BEIS). This model has provided underpinning evidence for the UK's Clean Growth Strategy and Net Zero Strategy. His methodological contributions include formalizing a theoretical approach to analyzing the evolution of energy system models using 'model archaeology'. Analysis of his recent publications reveals a strong focus on hydrogen energy systems, with multiple papers examining hydrogen trade pathways, integration methods, and environmental impacts. His work increasingly addresses the geopolitical dimensions of energy transition, as seen in studies about Russian gas pivots to Asia and global energy scenarios. He maintains expertise in energy system modeling techniques while expanding into practical applications for policy development, particularly regarding the UK's net-zero transition. Dodds has supervised 15 PhD students at UCL, with eight under his primary supervision. His professional activities include serving as the UK Alternate Delegate to IEA Hydrogen since 2017, acting as a PhD External Examiner at the University of Edinburgh, and participating in the EPSRC Peer Review College. He has contributed to multiple government initiatives, including the UKERC Future of the Gas Networks workshop and representing the UK Government at IEA ETSAP meetings. He teaches an undergraduate module on 'Energy and Environmental Systems Modelling' and guest lectures on several MSc courses. His research group focuses on energy system modeling, with particular emphasis on the UK TIMES model development and application. His work often involves collaboration with government bodies, particularly BEIS, and he has coordinated significant projects like seven reports on overshoot pathways for the UK Government.
Chiu Ping Cheng is a Professor in the Department of Biology at the University of Minnesota, USA, specializing in Molecular Biology and Plant-Microbe Interactions . With over two decades of research on Ralstonia solanacearum and its interactions with solanaceous crops, Dr. Cheng has pioneered studies on plant defense mechanisms against bacterial wilt, regulatory gene functions, and biocontrol agent applications. Current research: Plant-pathogen interactions Special techniques: Genomic screening, bacteriophage-derived proteins Key pathogens: Ralstonia solanacearum, Pectobacterium carotovorum His recent publications (2024) explore tomato cultivar resistance variation , NADPH oxidase-effector interactions , and phenylpropanoid metabolism in wild mungbean . Though no formal scientific awards are listed, his work has been featured in leading journals like Plant Cell & Environment and New Phytologist . Dr. Cheng operates from the Life Science Building R942 laboratory.
Sara Hägg is a Senior Lecturer at the Karolinska Institutet , affiliated with the Department of Medical Epidemiology and Biostatistics . She is also a Docent in molecular epidemiology. PhD in Computational Biology (Linköping University, 2009) MSc in Molecular Biology (Stockholm University, 2003) BSc in Computer Science (Stockholm University, 2003) Her research focuses on human biological aging , including measurement of aging markers (telomere length, epigenetic clocks, frailty index), causal pathway analysis, and identification of geroprotectors for age-related diseases. She utilizes longitudinal twin studies (SATSA, GENDER, HARMONY), UK Biobank, and Swedish cohorts with methods like Mendelian randomization and genome-wide analyses . Recent articles demonstrate trends in epidemiological aging research , with emphasis on cardiovascular aging , neurological disease interactions , metabolic profiling , and epigenetic clocks . Her work often involves multivariable modeling and cross-cohort validation . Leadership roles include Director of LifeGene Core Facility (2024-) and Founding Board Member of the Nordic Aging Society (2023-). She serves on expert groups for the Swedish Twin Registry and Strategic Research Area in Epidemiology and Biostatistics .
David De Roure is Professor of e-Research at the University of Oxford and Academic Director of both the Digital Scholarship initiative and the Laboratory for AI Security Research. He is also an Honorary Research Professor at the Royal Northern College of Music (RNCM), where he serves as Technical Director of the Centre for Practice & Research in Science & Music (PRiSM). His work bridges computer science, digital humanities, cybersecurity, and music through his distinctive interdisciplinary approach. De Roure received his PhD in 1990 supervised by David W Barron and Peter Henderson, with research in Lisp and distributed systems. Prior to joining Oxford in 2010, he was Professor of Computer Science at the University of Southampton and Director of the Centre for Pervasive Computing in the Environment. His career spans multiple institutions and research domains, reflecting his commitment to interdisciplinary work. De Roure's research focuses on new methods of digital scholarship, innovation in knowledge infrastructure, cybersecurity, and computational approaches to music. His work uniquely combines humanities (digital musicology), social sciences (social machines and web science), engineering (Internet of Things), and computer science (distributed systems, AI). A key theme is empowering human creativity through technology rather than replacing humans with AI. He emphasizes co-creation between humans and machines, particularly in music composition where he explores how algorithms can generate fragments for human assembly. His recent publications reveal a strong focus on AI security in IoT systems, digital scholarship methods, and the intersection of music with computational approaches. There's a clear trajectory from foundational work in social machines and web science toward current applications in cybersecurity and music-AI co-creation. His publications consistently bridge technical domains with humanistic inquiry, demonstrating his commitment to interdisciplinary scholarship that addresses real-world challenges. Fellow of the British Computer Society (FBCS) Fellow of the Institute of Mathematics and its Applications (FIMA) Fellow of the Royal Society of Arts (FRSA) Chartered IT Professional (CITP) Turing Fellow at The Alan Turing Institute (2018-2024) De Roure has co-founded three major interdisciplinary initiatives: PETRAS National Centre of Excellence for IoT Systems Cybersecurity (the world's largest socio-technical research center focused on IoT security), the Software Sustainability Institute (dedicated to improving research software), and PRiSM at RNCM. He was Director of the Oxford e-Research Centre from 2012-17 and has led numerous research projects including SOCIAM (The Theory and Practice of Social Machines), FAST (Fusing Audio and Semantic Technologies), and Transforming Musicology. The Laboratory for AI Security Research, which he directs, took its first PhD students in 2024. At Oxford, De Roure chairs the Digital Research Cluster at Wolfson College and oversees the Laboratory for AI Security Research. The PRiSM team at RNCM has produced numerous musical works and performances, including six premieres in New York in 2024. He has been involved in designing gesture recognition software used in many performances and has collaborated on public engagement projects including the Science Together project which released a Hip Hop album. His current work includes exploring Chladni Plates for new musical instrument design and developing algorithmically enhanced instruments.
