Shiva Nejati is a Professor at the University of Ottawa 's School of Electrical Engineering and Computer Science . He holds a PhD in Computer Science from the University of Toronto and previously worked as a Senior Scientist (2012-2019) and Scientist (2009-2012) at the SnT Centre (University of Luxembourg) and Simula Research Laboratory. Research focus: Software engineering for cyber-physical systems (autonomous vehicles, IoT), blending formal verification, machine learning, and search-based testing Key tools developed: ARIsTEO, SOCRaTEs, SimCoTest, EPIcuRus Editorial roles: Associate Editor for EMSE Journal (2025–), ASE Journal (2025–), IEEE Transactions on Software Engineering (2020–2024) His work combines formal methods , empirical software engineering , and AI/ML to address verification challenges in complex systems, particularly through evolutionary algorithms and surrogate modeling . Notable collaborations include industry partners in telecommunications, automotive, and aerospace sectors. Recent publications emphasize large language models for requirements analysis, adversarial testing of vision systems, and multi-objective optimization for test generation. His Sedna Research Lab actively trains graduate students in these cutting-edge methodologies.
Lerrel Pinto is an Assistant Professor of Computer Science at New York University's Courant Institute, where he leads the General-purpose Robotics and AI Lab (GRAIL). His research focuses on enabling robots to generalize and adapt in unstructured environments through advancements in robot learning, decision making, and multimodal sensing. Before joining NYU, he completed a postdoc at UC Berkeley, a PhD in Robotics at Carnegie Mellon University, and an undergraduate degree in Mechanical Engineering at IIT Guwahati. Key research areas include large-scale robot learning, representation learning for sensory data, reinforcement learning for adaptability, and open-source robotics hardware. Notable achievements include the Sloan Fellowship (2025), NSF CAREER Award (2024), and Best Paper Awards at multiple robotics conferences. Pinto's lab has developed influential systems such as the AnySkin tactile sensing framework and the OPEN TEACH teleoperation system. Education highlights include a PhD from CMU (2019) under Abhinav Gupta, a postdoctoral stint with Alexei Efros and Pieter Abbeel at Berkeley, and undergraduate studies at IIT Guwahati. He has authored over 65 publications in top conferences like ICRA, NeurIPS, and CVPR. Pinto teaches courses on robotics, reinforcement learning, and AI at NYU. His service contributions include roles on program committees for ICML, NeurIPS, and IROS, as well as organizing workshops on topics like Dexterous Manipulation and Vision-Language Models for Robotics. His team actively collaborates through the GRAIL lab, with current projects exploring tactile sensing, zero-shot policy deployment, and multimodal robot learning systems. Ongoing research emphasizes bridging the gap between human and robotic dexterity through novel reward structures and adaptive control frameworks.
Linda J. Harris, Ph.D., is a Distinguished Professor of Cooperative Extension in Microbial Food Safety at the University of California, Davis, within the Department of Food Science and Technology. She served as Department Chair from 2016 to 2021. Her research focuses on microbial food safety, particularly in fresh produce and tree nuts, emphasizing pathogen behavior, antimicrobial treatments, and standard microbiological methods validation. She collaborates with food producers, processors, and government agencies to address food safety challenges. Dr. Harris earned her Ph.D. in Food Science from North Carolina State University in 1991. Her work integrates laboratory studies with extension activities to ensure practical applications in food safety. Key areas include evaluating pathogen survival on produce, developing sanitation protocols, and assessing risks associated with low-moisture foods. Her research trends highlight advancements in pathogen detection (e.g., MALDI-TOF technology), contamination prevention in postharvest handling, and consumer practices affecting food safety (e.g., homemade nut-based products). Recent articles address Salmonella and Listeria survival on produce, irrigation impacts on pathogens, and validation of pathogen reduction processes. Awards: 2021 AAAS Fellow 2018 Institute of Food Technologists Fellow 2004 Elmer Marth Educator Award Her advising and grants focus on low-moisture food safety, extension education, and industry partnerships. She leads initiatives like the Scientific Integrity Consortium and collaborates on national food safety guidelines. Dr. Harris is affiliated with the Robert Mondavi Institute for Wine and Food Science at UC Davis.
Ryo Suzuki is an Assistant Professor in the Department of Computer Science at the University of Calgary's Faculty of Science. His research focuses on Human-Computer Interaction (HCI) and robotics, particularly in tangible user interfaces, swarm robotics, and shape-changing interfaces. He holds a PhD in Computer Science from the University of Colorado Boulder (2020) and has conducted research internships at Stanford University, UC Berkeley, the University of Tokyo, and Adobe Research. His educational background includes advanced coursework in robotics and HCI, with a strong emphasis on interdisciplinary innovation. He teaches courses such as Human-Computer Interaction II, Human-Robot Interaction, and Special Topics in Mixed Reality Application Design. Research interests include designing novel interfaces for AR/VR/MR systems, haptic feedback mechanisms, and collaborative robotics. His work often bridges physical and digital spaces, such as through projects like LiftTiles (shape-changing building blocks) and RoomShift (room-scale haptic environments). Key awards include the UIST 2020 Honorable Mention Paper Award, DIS 2019 Best Paper Award, and the Ministry of Internal Affairs and Communications in Japan Innovation Award. His research has been featured in IEEE Computer Graphics and Applications, TechXplore, and Wired. He actively explores future work in symbiotic AI systems, AI-in-the-loop AR applications, and scalable shape-changing robotics. His lab emphasizes hands-on prototyping and user-centered design principles.
Cathryn Mitchell is a Professor of Radio Science and Royal Society Industry Fellow at the University of Bath, specializing in ionospheric physics, position, navigation, and timing (PNT). She leads research in the Space & Telecoms Research Group (STAR), focusing on radio propagation, data assimilation, and space weather impacts on communication systems. Her work bridges theoretical, computational, and experimental approaches, with applications in satellite navigation, climate monitoring, and defense sectors. Her research interests include ionospheric tomography, HF communications, and the development of robust PNT systems. Mitchell collaborates extensively with industry partners like Spirent Communications on future navigation technologies and space weather resilience. She has held roles such as Academic Director of the Doctoral College and contributes to interdisciplinary projects like the DRIIVE initiative exploring ionospheric variability with EISCAT-3D radar. Recent work emphasizes ionospheric effects during geomagnetic storms (e.g., the 2024 Gannon Storm) and cooperative autonomous systems under communication constraints. Her projects are funded by the Royal Society, Natural Environment Research Council (NERC), and ESA, addressing challenges in space weather forecasting and PNT system reliability. Awards: Royal Society Industry Fellow (2022–present) Key Projects: Royal Society Industry Fellowship on Future PNT Technologies DRIVERS (DRIIVE): Ionospheric Variability Studies EISCAT-3D FINESSE: Ionospheric Structuring Analysis Mitchell’s lab, STAR, integrates academic and industrial partnerships to advance space weather applications and sustainable navigation systems, contributing to UN Sustainable Development Goals related to climate action and innovation.
Makhlouf M. Makhlouf is a Professor of Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI). He served as Director of the Advanced Casting Research Center (ACRC) from 1992 to 2015, leading it to become the world's leading foundry-industry consortium. His expertise spans physical metallurgy, materials processing, and nanocomposite development. He holds 5 US/European patents and has authored over 150 papers. Education : BS (High Honors), American University in Cairo, 1978 MS, Mechanical Engineering, New Mexico State University, 1980 PhD, Materials Science & Engineering, WPI, 1990 Research Interests : Makhlouf focuses on developing high-performance alloys (e.g., aluminum alloys for high-temperature applications), solidification processes, and metal-matrix nanocomposites via methods like RIGLI. His work integrates thermodynamics, kinetics, and heat/mass transfer modeling for materials engineering challenges. Articles Overview : His recent publications address topics like aluminum alloy precipitation strengthening (2017), gas-liquid synthesis of nanocomposites (2017), and casting process optimization (2017). These contributions emphasize practical applications in foundry and aerospace sectors. Grants & Advising : He has directed federally/non-federally funded projects, mentored 10 PhD students, 20 MS students, and 8 postdoctoral fellows. His work bridges academic research and industrial collaboration. Labs/Teams : He leads research through WPI's ACRC and collaborates with industry partners to advance foundry technologies and nanocomposite manufacturing.
Wenjia Tang is a Post-Doctoral Research Fellow in the Department of Media and Communications at the University of Sydney's Faculty of Arts and Social Sciences, contributing to Professor Terry Flew's ARC Laureate project "Mediated Trust". Her work examines digital platforms, media policies, and transnational media dynamics with emphasis on U.S.-China comparative frameworks. Her educational background includes: BA from Sichuan University MA from University College London (UCL) PhD from the University of Sydney Dr. Tang's research spans platform regulation, streaming media business models, and transnational technology policy, with specialized focus on cultural creation in social media, recommendation algorithms, and geopolitical implications of AI, virtual reality, and metaverse technologies. She analyzes how digital platforms navigate regulatory environments while shaping global content ecosystems. Her 2023-2025 publications reveal consistent thematic focus on Chinese digital platforms' global expansion strategies (WeTV, Tencent Video), regulatory challenges in emerging technologies (NFTs, metaverse), and data sovereignty frameworks. This body of work demonstrates methodological emphasis on comparative analysis between Western and Chinese tech ecosystems, particularly regarding content localization, policy adaptation, and geopolitical tensions in digital markets. Currently working on the ARC Laureate "Mediated Trust" project investigating digital media trust mechanisms, Dr. Tang has no documented graduate student supervision. Her research directly informs policy discussions through submissions like the News Media Assistance Program response. She operates within the Mediated Trust research team, an ARC-funded initiative examining trust architectures in algorithmic media environments, with particular attention to cross-cultural regulatory approaches.
Jeffrey Frankel is the James W. Harpel Professor of Capital Formation and Growth at Harvard University's Kennedy School and a Research Associate at the National Bureau of Economic Research (NBER). He previously served as a Professor of Economics at the University of California at Berkeley and as a Member of the US President's Council of Economic Advisers during the Clinton Administration (1996-99), where his responsibilities included international economics, macroeconomics, and the environment. Dr. Frankel was born in San Francisco and earned his undergraduate degree from Swarthmore College before completing his PhD in economics at MIT. He has held visiting appointments at prestigious institutions including the Federal Reserve, International Monetary Fund (IMF), and Peterson Institute for International Economics. He also co-directs the NBER International Seminar on Macroeconomics (ISoM) and Harvard Project on Emerging Financial Markets (PEIF) conferences annually. Professor Frankel's research spans multiple critical areas of international economics. His work focuses on commodities, financial crises, currency dynamics, fiscal and monetary policy, regional economic blocs, and international environmental issues. He has been ranked among the 40 most-cited economists globally, reflecting the significant impact of his scholarly contributions. His recent publications reveal a growing emphasis on the intersection of politics and economic policy, particularly regarding US trade policy, presidential influence on monetary policy, and the international role of major currencies. His commentary appears regularly in major international publications including Project Syndicate, where he writes a syndicated monthly column. He also maintains an active blog at jeffrey-frankel.com, where he discusses current economic issues. In 2025, he transitioned from Twitter/X to Bluesky, continuing to share his economic analysis with a global audience. Ranked among the 40 most-cited economists Regular columnist for Project Syndicate Co-director of NBER ISoM and Harvard PEIF conferences Expert on international monetary systems and currency dynamics As an educator and mentor, Professor Frankel has influenced generations of economists and policymakers through his teaching at Harvard Kennedy School. His expertise in international economics has made him a sought-after commentator on global economic developments, particularly regarding currency markets, trade policy, and macroeconomic management. He continues to actively engage with current economic challenges, including analyzing the economic implications of political developments and policy proposals.
Alexander Dunlap is a Research Scientist at Boston University's Institute for Global Sustainability (IGS) and a visiting research fellow at the University of Helsinki's Global Development Studies department. He holds a PhD in Social Anthropology from Vrije Universiteit Amsterdam, an MSc in Modules from the University of Sussex (UK), an MA in Environment, Development and Policy from Sussex, and a BS in Political Science from Portland State University (USA). His work critically examines energy transitions, extractive industries, and the socioecological impacts of green capitalism. Research Interests: Political ecology of low-carbon technologies Green extractivism in global contexts Decolonial and anarchist approaches to sustainability State violence and counterinsurgency tactics Environmental justice in renewable energy projects Publications: Dunlap’s recent work focuses on solar energy injustices in California, industrial solar manufacturing in Ohio, and the militarization of nature. His articles interrogate how 'green' infrastructure reinforces colonial and capitalist systems, often through spatial dispossession and anti-Indigenous violence. Labs/Teams: Active in IGS research clusters studying infrastructural harm and energy justice. Co-editor of Human Geography , a journal promoting radical interdisciplinary scholarship. Future Work: Continuing research on solar project lifecycles, particularly mining-to-decommissioning impacts, and expanding analysis of Europe’s energy grid conflicts.
Pamela Jo Brubaker serves as a Professor of Public Relations and Associate Director for Graduate Studies in the School of Communications at Brigham Young University, where she holds a full-time faculty position with significant administrative responsibilities. Her academic credentials include an Associate's degree from Ricks College (now BYU-Idaho), Bachelor's and Master's degrees in Communications from Brigham Young University, and a Ph.D. in Mass Communications from The Pennsylvania State University. Dr. Brubaker's research centers on leveraging communications for societal benefit, with expertise in strategic public relations, online civil discourse, and media environment dynamics. She actively advocates for peacemaking in digital spaces and examines how individuals and organizations can ethically harness communication tools. Her scholarly contributions span journals including Social Media + Society, Journalism & Mass Communication Quarterly, and Public Relations Review. No scientific awards were documented in the source material. While her role as Associate Director for Graduate Studies implies student mentorship responsibilities, the provided text contains no specific details about her advisees or externally funded research grants.
Steve Whittaker is Professor of Human-Computer Interaction at the University of California at Santa Cruz. He conducts interdisciplinary research at the intersection of social science and computer science, focusing on how technology affects human memory, communication, and personal information management. His current research explores human-centric AI systems, mental health technologies, and digital identity. His research interests center on designing interactive systems that support human needs in digital environments. He investigates how people manage digital information, remember personal experiences through lifelogging, and interact with conversational agents and social robots. His work emphasizes computational well-being, affective computing, and the social implications of technology use. He has made foundational contributions to the fields of personal information management (PIM), computer-mediated communication (CMC), and human-robot interaction. The recent publications reflect a strong trend toward mental health technology, human-AI interaction, and digital well-being. His work spans from theoretical models of emotion and memory to practical systems for mental health apps, chatbots, and immersive visualization. He frequently publishes in top-tier venues such as CHI, CSCW, and IUI, often in collaboration with researchers across disciplines. Lifetime Research Achievement Award from SIGCHI Fellow of the Association for Computational Machinery (ACM) Member of the CHI Academy Lasting Impact Award from ACM CSCW Best Paper Award at CSCW10 Best Paper Award at CHI07 Honourable Mention at ACM CHI 2020 Multiple best paper nominations at CHI, CSCW, and IUI MIT Siegel Prize Steve Whittaker has supervised numerous PhD and Master’s students, though specific names are not listed in the provided text. His research has been funded by major grants from NSF, NIH, and industry partners, enabling long-term studies on digital behavior and system development. He is Editor of the journal Human Computer Interaction and has authored over 200 peer-reviewed publications. His most recent book, The Science of Managing Our Digital Stuff (MIT Press), co-authored with Ofer Bergman, synthesizes decades of research on personal information management. He leads a vibrant research lab at UC Santa Cruz that focuses on human-centered computing, where students and collaborators work on projects involving AI, mental health, digital memory, and social interaction. The lab has produced influential work on lifelogging, email management, telepresence robots, and algorithmic transparency. The team employs mixed methods, combining qualitative studies with system design and evaluation.
Carolyn Parkinson is an Associate Professor at the University of California, Los Angeles (UCLA), holding the Bernice Wenzel and Wendell Jeffrey Term Endowed Chair in Cognitive Neuroscience. Her research integrates social psychology with computational neuroscience to explore how the human brain represents, navigates, and shapes social environments. University: University of California, Los Angeles (UCLA) Academic Rank: Associate Professor Research Focus: Social and Affective Neuroscience, Social Network Analysis, Neural Mechanisms of Psychological Distance At the Computational Social Neuroscience Lab , Parkinson investigates: Neural encoding of social network structures Shared mechanisms for spatial, temporal, and social distance perception Computational modeling of social cognition Functional MRI analysis of social relationships Her work reveals that: Resting-state brain connectivity predicts social proximity Multivoxel patterns decode social knowledge representations Old cortical structures repurpose spatial processing for social cognition Neural population coding transcends historical phrenology-based approaches Notable awards include the Bernice Wenzel and Wendell Jeffrey Term Endowed Chair. She employs machine learning and social network theory to analyze distributed brain activity patterns, advancing understanding of human social behavior and cognition.
Leah K VanWey is Professor of Environment and Society and Sociology at Brown University, where she also serves as Dean of the School of Professional Studies. She holds affiliations with the Department of Sociology, Institute at Brown for Environment and Society, Population Studies and Training Center, Spatial Structures in the Social Sciences, and Department of Portuguese and Brazilian Studies. Previously, she served as Senior Deputy Director of the Institute at Brown for Environment and Society, Associate Director of the Population Studies and Training Center, and Associate Provost for Academic Space. VanWey completed her education at the University of North Carolina, earning a BA (1996), MA (1999), and PhD (2001). Her research focuses on social demography and environmental social science, particularly examining household responses to reforestation programs in Brazil's Atlantic Forest and the social/environmental impacts of frontier settlement in the Amazon. Her research interests include agricultural intensification, land use change, migration patterns, population-environment interactions, household dynamics, intergenerational support systems, and remittance economies, with a geographic focus on Brazil. She employs interdisciplinary approaches, collaborating with anthropologists, geographers, ecologists, and other social scientists. VanWey has secured significant research funding including grants from NSF, NIH, and NASA totaling over $2.5 million. Major projects include studying agricultural expansion in Brazil, climate variability impacts, land use change dynamics, and population-environment linkages. She mentors graduate students and postdoctoral researchers, including Trina Vithayathil. She teaches courses on human-environment interactions and research methods, including: Feeding Ten Billion, Methods for Interdisciplinary Environmental Research, Multivariate Statistical Methods, Fields and Methods of Social Research, and Professional Development seminars.
Stephen Parada is a Professor at the Medical College of Georgia, with academic appointments in the Department of Orthopedic Surgery. He is actively involved in clinical education and research, contributing significantly to orthopedic surgery, particularly in shoulder and elbow arthroplasty and biomechanics. Research Interests: His work spans orthopedic surgery, biomechanics, surgical outcomes, and the application of artificial intelligence in patient education. He focuses on improving clinical outcomes in total joint replacement, understanding shoulder instability, and evaluating publication trends in orthopedic research. The recent publications indicate a strong trend toward evidence-based orthopedics, with emphasis on predictive modeling of surgical outcomes, implant longevity, and the role of digital tools in patient communication. His research bridges clinical practice with academic scholarship. Scientific Awards: AAOS Kappa Delta Award, AAOS, 2025 Resident Research Award, Georgia Orthopaedic Society, 2022 GME Exemplary Teaching Award, Medical College of Georgia, 2021 GME Exemplary Teaching Award, Medical College of Georgia, 2020 Teaching and Service: Dr. Parada teaches key surgical clerkships and orthopedic externships. He serves on the AAOS Exhibits Committee and holds leadership roles in the Georgia Shoulder & Elbow Society. His professional service includes roles in ASES, AANA, and AAOS annual meetings, reflecting active engagement in national orthopedic communities. Laboratories and Research Teams: He is involved in Orthopaedic Research at the Medical College of Georgia (2023–present), contributing to a collaborative environment focused on advancing musculoskeletal care through innovation and education.
Nathan Youngblood is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh , with a secondary appointment in the Department of Physics and Astronomy . His research focuses on reconfigurable photonic materials and devices for energy-efficient artificial intelligence applications. Educational Background: PhD in Electrical Engineering from the University of Minnesota Postdoctoral research at the University of Oxford (2017–2019) His work explores photonic in-memory computing, neuromorphic systems, and phase-change materials to minimize computing latency and energy consumption. Recent publications highlight advancements in magneto-optical non-reciprocity, coherent crossbar arrays, and plasmonic-enhanced phase-change devices. Scientific Awards: NSF CAREER Award (2024) AFOSR Young Investigator Award (2024) William Kepler Whiteford Faculty Fellowship (2024) Dr. Youngblood's lab develops photonic accelerators like LightML and LightBulb for machine learning, emphasizing scalable integration and novel material applications in silicon photonics.
