Mathias Lécuyer is an Assistant Professor in the Computer Science Department at the University of British Columbia (UBC) , part of the Faculty of Science . His research focuses on trustworthy AI systems, with emphasis on privacy (differential privacy), adversarial robustness, and causal machine learning. He leads the Systopia Lab and collaborates with groups such as UBC S&P, TrustML, and CAIDA. Education: PhD in Computer Science from Columbia University (2019), MSc from Columbia University (2013) and École Polytechnique (2011). Research Interests: Ensuring rigorous guarantees for AI systems via differential privacy, robustness against adversarial attacks, and causal inference. His work spans theoretical foundations and practical implementations in areas like privacy-preserving systems, federated learning, and transparent machine learning. Awards: SOSP Distinguished Artifact Honorable Mention (2024), Google Research Award (2022), Bourse Carnot Fellowship (2011), and UBC’s top teaching evaluations (2021). Advising & Service: Supervised over 20 students (PhD, MSc, undergrad) across privacy and machine learning topics. Serves on PCs for top conferences (OSDI, S&P, NeurIPS) and organizes workshops like TrustML @ UBC. Actively mentors high school students in ML research through outreach programs. Labs/Teams: Leads the Systopia Lab at UBC, focusing on AI safety and privacy. Collaborates with MSR, Google, and industry partners on practical system implementations.
Dr Elizabeth Hallam is an Associate Professor in Visual, Material, and Museum Anthropology at the University of Oxford's School of Anthropology & Museum Ethnography. She holds additional roles as a Research Affiliate at the Pitt Rivers Museum, Fellow of St Peter's College, and Director of the Interdisciplinary Studies in Cultural Anthropology (ISCA). Her research focuses on the anthropology of the body, death, material and visual cultures, human anatomy, and three-dimensional models in medical education. She is also the Editor of the Journal of the Royal Anthropological Institute and has curated exhibitions such as 'Designing Bodies: Models of Human Anatomy from 1945 to Now'. Her academic journey includes a BA and PhD from the University of Kent, followed by positions at the University of Sussex and Aberdeen University. She has authored/co-authored influential works like Anatomy Museum: Death and the Body Displayed (2016), which won the Wellcome Medal. Her current projects explore museums of anatomy, 3D modeling in anthropology, and collaborative art practices. Key research themes include death and memorializing processes, the role of material culture in knowledge production, and interdisciplinary studies on creativity and improvisation. She advises four DPhil students and has been involved in ARC-funded projects on cemetery futures and postmortem practices. Awards: Wellcome Medal for Anthropology as Applied to Medical Problems (2016) Grants: Projects funded by the Australian Research Council, Henry Moore Foundation, and Royal College of Surgeons Labs/Teams: Collaborations with University of Melbourne and curatorial networks in Europe/USA
Elham Kazemi is a Professor of Mathematics Education at the University of Washington’s College of Education, holding the Geda and Phil Condit Endowed Chair. She specializes in elementary teacher education, instructional leadership, and equity-focused mathematics pedagogy. Her research emphasizes professional learning communities, student-centered classroom practices, and disrupting inequities in education. Education: PhD in Mathematics Education, UCLA (1999) MA in Educational Psychology, UCLA (1997) BS in Psychology (Elementary Teaching Certificate), Duke University (1992) Research Interests: Kazemi’s work focuses on equitable mathematics instruction, teacher learning, and leadership development. She designs school-wide professional development models (e.g., Math Labs) and studies classroom discourse, student disciplinary identities, and organizational learning. Key projects include the Labs Project (funded by JSMF) and RMLL (NSF-funded leader learning). Publications & Grants: Over 40 peer-reviewed articles, including work in American Educational Research Journal and Journal of Teacher Education . Co-authored influential books like Choral Counting and Counting Collections and Intentional Talk . Recipient of $5.4M+ in grants from NSF, McDonnell Foundation, and others for projects on teacher leadership and equitable instruction. Awards: 2022 AERA Open Article of the Year 2019 Outstanding Faculty Award for Educational Equity 2015 Geda & Phil Condit Professorship Advising & Leadership: Kazemi co-leads initiatives like the Leading Towards Racially Just Mathematics Instruction partnership. She has supervised numerous graduate students and collaborates with schools to implement equity-driven practices. Labs & Teams: Her work includes the Labs Project (designing Learning Labs for mathematics/literacy discussions) and the Mathematics Education Project (MEP), fostering statewide collaboration among educators.
Wojciech Jarosz is an Associate Professor of Computer Science at Dartmouth College, affiliated with the College of Engineering and Computer Science. His research focuses on computer graphics, particularly light transport simulation, rendering algorithms, and digital fabrication. He co-founded the Visual Computing Lab and previously led the rendering group at Disney Research Zürich. Jarosz holds a Ph.D. and M.S. from UC San Diego and a B.S. from the University of Illinois Urbana-Champaign. His educational background includes studies in computer science and engineering, with a strong emphasis on graphics and rendering. Research interests span light transport simulation, Monte Carlo methods, appearance capture, and fabrication. Notable achievements include the Eurographics Young Researcher Award (2013) and the NSF CAREER Award (2019). Jarosz's work integrates theoretical rigor with practical applications, such as real-time rendering techniques and volumetric light transport. His lab develops tools for artistic authoring, including intuitive metaphors for volumetric lighting in animated films. Recent projects explore wave-optics BSDF models, optical heterodyne rendering, and unifying radiative transfer models. Key awards include the SIGGRAPH 2024 Best Paper Award and Neukom Institute prizes. His teaching includes courses on rendering algorithms, computer graphics, and computational photography. Jarosz collaborates with industry (e.g., Disney, NVIDIA) and advocates for diversity in computer graphics research.
Tymofiy Mylovanov is an Associate Professor of Microeconomics at the University of Pittsburgh. His research focuses on political economy, macroeconomic policy design, blockchain applications in governance, and post-conflict reconstruction strategies with a particular emphasis on Ukraine and Eastern Europe. His work bridges theoretical economics with practical policy analysis, addressing issues such as public procurement reforms, sanctions impact on businesses, and the design of fiscal frameworks for war-torn economies. Mylovanov has extensively studied the economic consequences of geopolitical conflicts, including the Russia-Ukraine war, and advocates for institutional reforms to ensure democratic stability and economic resilience. Key research themes include: Optimal mechanisms for foreign aid allocation Blockchain's role in public sector transparency Anti-corruption frameworks in post-authoritarian states Economic policy responses to hybrid warfare Mylovanov's recent publications analyze Ukraine's macroeconomic challenges, the effectiveness of international sanctions, and innovative governance models leveraging technology. His work frequently appears in high-impact policy journals and is cited in global policy discussions about Eastern European development.
Aji Mathew is a Professor at the Department of Materials and Environmental Chemistry, Stockholm University. He holds a PhD in polymer chemistry from Mahatma Gandhi University (2001) and conducted postdoctoral research at CERMAV (Grenoble, France) and NTNU (Trondheim, Norway). His academic career includes roles as an assistant professor (2007–2011) and associate professor (2011–2015) at Luleå University of Technology before becoming an associate professor (2015) and subsequently a professor (2017) at Stockholm University. His research focuses on bio-based nanocomposites and sustainable materials, particularly nanocellulose and its applications in environmental remediation, advanced materials, and circular economy solutions. His group, the Aji Mathew Group , specializes in designing bio-based materials for diverse applications, including water treatment, 3D printing, and biomedical uses. Key projects involve upcycling textile waste, developing eco-friendly composites, and creating functional hydrogels. His work bridges fundamental polymer chemistry with practical sustainability challenges. Publications highlight innovations like nanocellulose-based foams, zeolitic frameworks for water purification, and bio-based coatings. While no awards are explicitly mentioned, his extensive peer-reviewed contributions reflect significant scholarly impact. His research emphasizes scalability and real-world applicability, addressing global environmental and material science challenges.
Ahmed Ferhadi is a Clinical Professor of Middle Eastern & Islamic Studies at New York University (NYU), specializing in linguistics with a focus on Second Language Acquisition, Sociolinguistics, and Language Testing. He holds a PhD in Linguistics from the University of Michigan (1990), an MA in Teaching Arabic as a Foreign Language (TAFL) from the same institution, and an M.S. in Applied Linguistics from the University of Edinburgh. His teaching career spans institutions like Princeton University, Columbia University, and Kurdish universities such as Salahuddin and Suleimaniyya Universities. He pioneered video-based language performance evaluation methods during his tenure at Middlebury College in 1991, which became a standard practice. Ferhadi has also served in high-level advisory roles, including President of the Association of American Teachers of Arabic (AATA) since 2017 and Distinguished Global Scholar of Kurdish Studies at American University (2010). Research interests include Kurdish language standardization, advanced Arabic pedagogy, and the sociopolitical dimensions of language. His projects include a Kurdish standardization initiative and curriculum development for advanced Arabic learners. Ferhadi has received numerous accolades, including the Golden Teaching Award (NYU 2000) and Top Language Award (U.S. Department of State 2006). His publications span linguistic theory, pedagogical techniques, and cultural studies, with recent works addressing Arabic dialect dynamics and Kurdish language policy. Ferhadi’s work bridges academic rigor with practical applications, emphasizing technology’s role in modern language education.
Terese Løvås serves as Vice Dean of Research and Innovation at the Faculty of Engineering, Norwegian University of Science and Technology (NTNU), where she leads strategic development of research and innovation activities. She concurrently holds the position of Professor of Combustion and Thermodynamics within the Department of Energy and Process Engineering. Her leadership responsibilities include oversight of Centers of Excellence, Horizon Europe projects, and PhD researcher training. Her research focuses on combustion engineering and alternative fuel technologies , particularly investigating ammonia and hydrogen combustion for zero-emission engines, biomass gasification processes, and reactive multiphase flow modeling. She heads the Engine Lab at NTNU and teaches Thermodynamics, Heat, and Combustion courses. Her work bridges theoretical modeling with experimental validation in sustainable energy systems. Løvås actively contributes to major research initiatives including LowEmission (SFI center), ACTIVATE (ammonia-powered agricultural vehicles), AMAZE (ammonia zero-emission), and CAHEMA (marine ammonia/hydrogen engines). Her publications reveal strong trends in ammonia combustion chemistry , emissions reduction , and advanced computational modeling for sustainable fuel systems, with increasing focus on nitrogen oxide formation mechanisms and dual-fuel strategies. Member of the Board of Directors, Combustion Institute (2022–present) Joint Editor, Proceedings of the Combustion Institute (2019–present) Alumni Fellow in Engineering, Churchill College, Cambridge University As Vice Dean, she manages NTNU's Research and Innovation Committee and represents the faculty in NTNU's Research and Innovation Committee. She supervises multiple PhD candidates and leads international collaborations through projects funded by the Norwegian Research Council, Nordic Energy Research, and EU programs. Her laboratory work focuses on optical engine diagnostics and advanced combustion testing. Løvås maintains active industry engagement through her leadership in the ComKin Research Group and membership in the Institute of Physics and Scandinavian-Nordic Section of the Combustion Institute. Her current work emphasizes practical implementation of ammonia-fueled engine technologies for marine and agricultural applications.
Anshumali Shrivastava is an Associate Professor of Computer Science, Electrical and Computer Engineering, and Statistics at Rice University, affiliated with the George R. Brown School of Engineering. His research focuses on large-scale machine learning, randomized algorithms for big data, and graph mining. He holds a PhD from Cornell University (2015) and an MSc from the Indian Institute of Technology Kharagpur (2008). His research interests span scalable deep learning, efficient neural network inference, and probabilistic algorithms. He has pioneered techniques in compressed learning, hashing-based search, and distributed optimization for handling massive datasets. Notable contributions include methods for accelerating LLM inference, memory-efficient quantization, and graph processing algorithms. Teaching: Probabilistic Algorithms, Large-Scale ML, and Machine Learning Seminars Awards: Charles W. Duncan Jr. Achievement Award (2023), Young Faculty Research Award (2021), NSF CAREER Award (2017), and multiple best paper awards His work bridges algorithm design with practical applications in recommendation systems, genomics, and edge computing. Current efforts focus on sustainable AI, hardware-aware compression, and efficient training/inference pipelines for large models.
Jung Han is the William A. Norton Professor of Electrical & Computer Engineering at Yale University, affiliated with the School of Engineering & Applied Science. He holds a Ph.D. from Purdue University and leads the Optoelectronics Materials and Devices Group, focusing on interdisciplinary research in III-nitride semiconductors, optoelectronics, and power electronics. His work bridges fundamental materials science with practical applications in solid-state lighting, energy harvesting, and next-generation electronics. Research interests include wide-bandgap semiconductor materials (e.g., GaN), nanoscale device fabrication, and epitaxial growth techniques. He pioneered nanoporous GaN distributed Bragg reflectors (DBRs) for high-efficiency LEDs and lasers, as well as selective-area growth methods for power electronics. His lab explores green energy technologies, flexible electronics, and hybrid organic-inorganic semiconductors. Publications emphasize advancements in GaN-based vertical-cavity surface-emitting lasers (VCSELs), SWIR detectors, and micro-LED displays. Recent work addresses challenges in defect control, scalability of III-nitride devices, and integration with emerging materials. His group collaborates across engineering, applied physics, and chemistry to advance sustainable energy and high-performance optoelectronics. Notable contributions include wafer-level integrated white-LEDs with quantum dots, damage-free in-situ GaN etching via TBCl, and stacking-fault-free GaN growth on foreign substrates. His research has been recognized in high-impact journals like Advanced Materials and Applied Physics Letters .
Quan Zhou is a Professor leading the Robotic Instruments Group at the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Finland. He holds an M.Sc. in Control Engineering and a Dr.Tech. in Automation Technology from Tampere University of Technology. His research focuses on miniaturized robotics, robotic manipulation using contact, acoustic, magnetic, interfacial, and fluidic methods, integrating physics, mechatronics, and machine learning to address challenges in dexterous manipulation with applications in biomedicine, materials science, and industrial technologies. He directs the Master’s Programme in Automation and Electrical Engineering (AEE) at Aalto and coordinates the European Robotics Association’s Topic Group on Miniaturized Robotics. He has led the EU FP7 project FAB2ASM and chaired international conferences like MARSS 2019. Notably, he received the 2018 Anton Paar Research Award for Instrumental Analytics and Characterization. His research spans fundamental methodologies and practical applications, emphasizing interdisciplinary innovation. Recent work includes advancements in fluid-driven manipulation, biomimetic robotics, and acoustic particle control. His contributions bridge theoretical frameworks and real-world automation solutions, with publications in journals like Advanced Intelligent Systems , Nature , and Physical Review E . Prof. Zhou’s leadership roles include coordinating the EIT Digital Master's Programme in Autonomous Systems and chairing IEEE Finland robotics chapters. His work has been recognized through grants and awards, reflecting his impact on robotics and automation research and education.
Rana Jaleel is an Associate Professor in the Department of Gender, Sexuality, and Women's Studies at the University of California, Davis, within the College of Arts & Sciences. She holds multiple leadership roles, including Chair of the Cultural Studies Graduate Group, Chair of the Designated Emphasis in Feminist Theory and Research, Faculty Advisor for the Sexuality Studies Minor, and Co-Director of HATCH: The Feminist Arts & Sciences Initiative. She is also a 2021–2024 College of Arts & Sciences Dean's Faculty Fellow. Education: Ph.D. in American Studies, New York University J.D., Yale Law School MFA in Poetry, University of Michigan, Ann Arbor Rana Jaleel’s research centers on the politics of evidence, examining how harm is recognized or erased in legal, cultural, and political contexts. Her work critically engages with reproductive labor, race, gender, sexuality, property, and international law. She draws from feminist theory, critical ethnic studies, legal studies, and decolonial thought to interrogate the intersections of power, knowledge, and violence. Her interdisciplinary approach is reflected in her contributions across law, cultural studies, and creative writing. Her publications and editorial projects reveal a strong focus on racial capitalism, settler colonialism, queer/trans of color critique, and feminist legal theory. She explores how international legal frameworks for sexual violence are shaped by imperial and racial power. Her work frequently appears in journals such as Critical Ethnic Studies Journal , Cultural Studies , and Brooklyn Law Review . She has co-edited special issues on democracy, gendered citizenship, and racial capitalism, demonstrating a commitment to collective scholarly work. Scientific Awards: Author of Color First Book Award from Duke University Press for The Work of Rape Rana Jaleel is actively involved in academic service and mentorship. As Co-Director of HATCH and leader of the Write the Future! Lab, she fosters creative and critical scholarship among undergraduate students, particularly from women/queer/trans of color and transnational feminist perspectives. She serves on the Editorial Collective and Board of The Critical Ethnic Studies Journal and is a member of the American Association of University Professors’ Committee A on Academic Freedom and Tenure. Her leadership extends to admissions and curriculum development in interdisciplinary programs. She is co-editing a forthcoming issue of South Atlantic Quarterly on 'Queer/Trans of Color Transits and the Global Imaginaries of Racial Capitalism' and continues to develop projects that bridge creative practice, legal critique, and feminist theory.
Dr. Lauren Hammond serves as Lecturer in Teacher Education at the Institute for Education, Teaching and Leadership within the Moray House School of Education and Sport at the University of Edinburgh, a position she assumed in August 2022 after eight years at IOE, UCL's Faculty of Education and Society. Her academic career bridges secondary school teaching in London and Singapore with higher education expertise in geography teacher education, curriculum development, and doctoral supervision. Her educational background includes a PhD in Geography Education from University College London (2020), an MA in Geography Education from the Institute of Education (2009), a PGCE in Secondary Geography from the University of Bristol (2006), and a BA (Hons) in Geography from King's College London (2004). This foundation supports her interdisciplinary research at the intersection of children's geographies, geography education, and geographies of education. Dr. Hammond's research centers on children's rights, urban educational spaces (particularly London), and empowering young people through geography. She employs participatory methods including storytelling and mapping with youth, investigating how educational spaces reproduce social injustices and how geographical concepts illuminate educational processes. Her work critically examines geography's construction in schools and universities while exploring teacher education for complex socio-political contexts. Her recent publications reveal strong thematic continuity in children's geographies and geography education, with growing emphasis on race, climate change, and pandemic research ethics. Key trends include participatory methodologies, urban justice frameworks, and critical analyses of teacher development in volatile educational landscapes. Dr. Hammond holds significant professional recognition including: Fellow of the Royal Geographical Society (FRGS) Senior Fellow of the Higher Education Academy (SFHEA) She actively supervises postgraduate students and has secured competitive research funding including UCL's Centre for Teachers and Teaching Research grant (£3,500) for race and educational spaces (2023), an IOE Early Career Impact Fellowship (£1,000) on children's urban rights (2021), and seed funding for PGCE mentoring evaluation (£8,317.50, 2017). Her collaborative approach extends to organizing major conferences and leading cross-institutional networks. As deputy secretary of the RGS's Geography and Education Research Group and membership officer of the Geographies of Children, Youth and Families Research Group, she actively shapes research communities. Her leadership extends to the Geography Education Research Collective and Geographical Association's special interest groups, fostering national and international scholarly collaboration.
Venkatesan Guruswami is a Chancellor's Professor in the Department of EECS and a Senior Scientist at the Simons Institute for the Theory of Computing at UC Berkeley . He also holds a Professor position in the Department of Mathematics . His academic journey began with a B.Tech in Computer Science from the Indian Institute of Technology, Madras (1997) , followed by a Ph.D. in Computer Science from the Massachusetts Institute of Technology (2001) . After a Miller Research Fellowship at UC Berkeley (2001–02), he held faculty roles at the University of Washington and Carnegie Mellon University before returning to UC Berkeley in January 2022. Education : B.Tech, IIT Madras (1997) Ph.D., MIT (2001) Professional Affiliations : Chancellor's Professor, UC Berkeley (EECS) Senior Scientist & Interim Director, Simons Institute Professor, UC Berkeley (Mathematics) Guruswami's research spans multiple domains within Theoretical Computer Science , focusing on Error-Correcting Codes , Approximation Algorithms , Randomness in Computing , Probabilistically Checkable Proofs , and Computational Complexity . His groundbreaking work in List Decoding has enabled codes with minimal redundancy for correcting worst-case errors, while recent advancements include Polar Codes , Deletion-Correcting Codes , and Constraint Satisfaction Problems . He has also contributed to Quantum Coding Theory , Locally Recoverable Codes , and Approximation Hardness in various computational contexts. His publications reflect a deep engagement with interdisciplinary topics. Key trends include: Quantum Information Theory : Quantum LDPC codes, transversal gates, and quantum storage. Algebraic Coding : Reed-Solomon codes, AG codes, and polynomial-based constructions. Computational Complexity : Hardness of approximation, CSPs, and parameterized intractability. Data Transmission : Polar codes, deletion channels, and feedback mechanisms. Algorithmic Techniques : Spectral methods, semirandom models, and Lasserre hierarchy applications. Guruswami has received numerous accolades, including the Simons Investigator Award , Presburger Award , Packard Fellowship , Sloan Research Fellowship , ACM Doctoral Dissertation Award , and the IEEE Information Theory Society Paper Award . He is an ACM Fellow (2017) and IEEE Fellow (2019) , with recent honors like the Guggenheim Fellowship (2023) and AMS Fellow (2023) . As an advisor, he has mentored over 25 PhD and postdoctoral researchers , including Atri Rudra , Prasad Raghavendra , and Peter Manohar , whose work has won awards like the Edmund M. Clarke Doctoral Dissertation Award and CRA Outstanding Undergraduate Researcher Award . His research is supported by grants from the National Science Foundation , Packard Foundation , and Sloan Foundation . He also serves as Editor-in-Chief of the Journal of the ACM and holds leadership roles in IEEE and arXiv moderation. Guruswami is actively involved in Simons Institute programs and co-organized workshops on Coded Computation and Information Theory . His work bridges theoretical advancements with practical applications in Cloud Storage , Quantum Computing , and Group Testing , including pandemic-era contributions like AC-DC: Amplification Curve Diagnostics for SARS-CoV-2 .
Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.
